SlideShare a Scribd company logo
1 of 88
Presenters:
Kusumsheela Bhatta (403)
Madhurjee Dhakal (404)
Shrijana Shrestha (410)
MPH, PAHS
Group 2
2nd Sep 2022
Child Health in Nepal: Root Cause
Analysis
Photo Courtesy: NENAP 2016
Outline of the presentation
• Introduction to RCA
• RCA Methodology
• Conceptual Framework
• Immediate Cause
• Underlying Cause
• Root Cause
• Conclusion
• References
9/02/2022 2
Group 2: Root Cause Analysis
Photo Courtesy: edgeofseven
Introduction to RCA
01
Photo Courtsey: Jacob Kassel/USAID Health for All Project
What is root cause analysis?
• RCA is a structured investigation that aims to identify the true cause of a
problem and the actions necessary to eliminate it with a permanent fix rather
than continuing to deal with the symptoms on an ongoing basis
9/02/2022 4
Group 2: Root Cause Analysis
What
happened
?
Why
it
happened
?
How to
eliminate?
General Steps of RCA
9/02/2022 5
Group 2: Root Cause Analysis
A group of problem
solving approaches to
identify the true causes of
problems or events
Root Cause Analysis Diagram
9/02/2022 6
Group 2: Root Cause Analysis
Figure: Root Cause Analysis Diagram
9/02/2022 Group 2: Root Cause Analysis 7
RCA
Methodology
02
How we did RCA!
9/02/2022 8
Group 2: Root Cause Analysis
Situation Analysis/
Identification of Problem
Literature Review and
Identification of causal
factors
Brain storming and
Development of
conceptual framework
Determination of root
causes
01 02
03 04
How we did RCA!
9/02/2022 9
Group 2: Root Cause Analysis
01
Situation Analysis/
Identification of
Problem
Source: NDHS 2016
SDG targets related to neonatal
and under-5 mortality in Nepal
are 12 and 20 deaths per 1,000
live births, respectively, by
2030
How we did RCA!
9/02/2022 10
02
Literature Review and
Identification of
Causal Factors
Source: DHS Report no.120
How we did RCA!
9/02/2022 11
02
Literature Review and
Identification of
Causal Factors
Lamichhane R, Zhao Y, Paudel S, Adewuyi EO. Factors associated with infant mortality in Nepal: a comparative analysis of
Nepal demographic and health surveys (NDHS) 2006 and 2011. BMC public health. 2017 Dec;17(1):1-8.
How we did RCA!
9/02/2022 12
02
Literature Review and
Identification of
Causal Factors
Al Kibria GM, Khanam R, Mitra DK, Mahmud A, Begum N, Moin SM, Saha SK, Baqui A, Projahnmo Study Group in Bangladesh.
Rates and determinants of neonatal mortality in two rural sub-districts of Sylhet, Bangladesh. PloS one. 2018 Nov
How we did RCA!
9/02/2022 13
02
Literature Review and
Identification of
Causal Factors
Source: UNICEF
Iceberg of child illness and mortality
9/02/2022 14
Group 2: Root Cause Analysis
 Disease/Infection
 Mortality
 Complication during pregnancy/delivery
Poor hygiene practices
Maternal education
Maternal age at
marriage
Decision making capacity
Place of delivery
Health seeking behavior
Birth interval
Access to health
services
Cultural factors
Weight of child
Political factors
Place of
residence Inadequate
food access
Sedentary
lifestyle
Ignorance
9/02/2022 15
03 Conceptual
Framework
Brainstorming
Immediate Causes
02
Photo Courtesy: CBHS health
Disease/Infections/Birth Complications
9/02/2022 17
Group 2: Root Cause Analysis
Source: WHO Fact Sheet
Immediate
cause
Infectious diseases, including
• Pneumonia
• Diarrhoea
• Malaria, along with
• Pre-term birth complications
• Birth asphyxia
• Trauma
• Congenital anomalies.
Globally Leading causes of death for children under
5 years
Disease/Infections/Birth Complications
9/02/2022 18
Group 2: Root Cause Analysis
Source: Lancet Child Adolescent Health 2022
Immediate
cause
Disease/Infections/Birth Complications
9/02/2022 19
Group 2: Root Cause Analysis
Source: Lancet Child Adolescent Health 2022
Immediate
cause
Global Causes of under-5 deaths in 2019
Disease/Infections/Birth Complications
9/02/2022 20
Group 2: Root Cause Analysis
Source: NDHS 2016
Immediate
cause
Malnutrition
9/02/2022 21
Group 2: Root Cause Analysis
• Nearly half of all deaths in children under 5 are attributable to undernutrition
• Undernutrition puts children at greater risk of dying from common infections,
increases the frequency and severity of such infections, and delays recovery.
Source: UNICEF
The results from 53 developing countries with nationally representative data on child weight-for-age indicate
• 56% of child deaths were attributable to malnutrition's potentiating effects
• 83% of these were attributable to mild-to-moderate as opposed to severe malnutrition
Immediate
cause
Pelletier DL, Frongillo EA Jr, Schroeder DG, Habicht JP. The effects of malnutrition on child mortality in developing countries.
Bull World Health Organ. 1995;73(4):443-8
Malnutrition
9/02/2022 22
Group 2: Root Cause Analysis
Undernutrition contributes to
25,000child deaths in Nepal per
year, accounting for 52 per cent of child
deaths, higher than any other cause.
52%
Immediate
cause
Source: UNICEF, 2019
9/02/2022 23
03 Conceptual
Framework
Brainstorming
9/02/2022 Group 2: Root Cause Analysis 24
Underlying Causes
05
• Maternal age at childbirth
9/02/2022 Group 2: Root Cause Analysis 25
Maternal factor
Report/Article Findings
NDHS 2016 Mortality rates are lower for children whose mothers were age 20-29 when they
were born than for children born to women below age 20 or age 30-39.
For instance, the neonatal mortality rate is 21 deaths per 1,000 live births for
children whose mothers were age 20-29 when they were born, as compared
with 39 and 31 deaths per 1,000 live births, respectively, for children whose
mothers were less than age 20 and age 30-39.
Maternal and newborn health
disparities, UNICEF
The NMR for younger mothers is 1.4 times higher than for mothers aged 20-34.
Underlying
cause
• Maternal age at childbirth
9/02/2022 Group 2: Root Cause Analysis 26
Maternal factor Continued.
Report/Article Findings
Childhood Illness and Mortality
in Nepal: Trends and
Determinants, DHS further
Analysis Report 2019
Women age 15-24 (aOR: 1.5, 95% CI: 1.0-2.2, p < 0.05) were more likely to seek
treatment or advice from health facilities or providers compared to women age 25-
34
Association between maternal
age at childbirth and child and
adult outcomes in the offspring:
a prospective study in five low-
income and middle-income
countries (COHORTS
collaboration)
Younger maternal age remained for low birthweight (odds ratio [OR] 1·18 (95% CI
1·02–1·36)], preterm birth (1·26 [1·03–1·53]), 2-year stunting (1·46 [1·25–1·70]),
and failure to complete secondary schooling (1·38 [1·18–1·62]) compared with
mothers aged 20–24 years.
Older maternal age remained associated with increased risk of preterm birth (OR
1·33 [95% CI 1·05–1·67])
Underlying
cause
• Maternal age at marriage
9/02/2022 Group 2: Root Cause Analysis 27
Maternal factor Continued.
Article Methodology Findings
Associations of maternal age at
marriage and pregnancy with infant
undernutrition: Evidence from first-
time mothers in rural lowland Nepal
Analyzed data on first-time
mothers (n = 3002) from a
cluster-randomized trial
(2012–2015)
Risk of stunting was higher in those
marrying at 15 years (adjusted OR 1.63,
95% CI 0.94, 2.85), 14 years (adjusted OR
1.61, 95% CI 0.91, 2.85) and 10–13 years
(adjusted OR 1.74, 95% CI 0.84, 3.60).
Girl-Child Marriage and Its
Association with Morbidity and
Mortality of Children under 5 Years of
Age in a Nationally-Representative
Sample of Pakistan
Nationally-representative
cross-sectional observational
survey data from Pakistan
Demographic and Health
Survey, 2006-2007
Marriage before age 18 years increased the
likelihood of recent diarrhea among children
born to young mothers (adjusted OR = 1.59;
95% CI: 1.18-2.14).
Underlying
cause
• Maternal age at marriage
9/02/2022 Group 2: Root Cause Analysis 28
Maternal factor Continued.
Report/Article Method Findings
Early marriage, poor
reproductive health status of
mother and child well-being in
India
Data from the third wave
of National Family Health
Survey (NFHS, 2005–2006)
was used
Early age at marriage had detrimental effects on the
reproductive health status of women.
Children born to mothers with poor reproductive
health had lower chances of survival and a higher
likelihood of anthropometric failure (i.e. stunting,
wasting and underweight).
Underlying
cause
• Maternal BMI
9/02/2022 Group 2: Root Cause Analysis 29
Maternal factor Continued.
Report/Article Method Findings
The association between
maternal body mass index and
child obesity: A systematic
review and meta-analysis
Searches in MEDLINE,
Child Development &
Adolescent Studies,
CINAHL, Embase, and
PsycInfo were carried
out in August 2017 and
updated in March 2019.
There were significantly increased odds of child obesity
with maternal obesity (odds ratio [OR] 3.64, 95% CI
2.68–4.95) and maternal overweight (OR 1.89, 95% CI
1.62–2.19).
Underlying
cause
• Maternal BMI
9/02/2022 Group 2: Root Cause Analysis 30
Maternal factor Continued.
Report/Article Method Findings
The Impact of Maternal Obesity
on Maternal and Fetal Health
National data on obesity and
overweight in the United
States , National Health and
Nutrition Examination
Survey (NHANES)
Obesity data of Pregnancy
Risk Assessment Monitoring
System (PRAMS)
The fetus is at risk for stillbirth and congenital
anomalies. Children have a risk of future obesity and
heart disease. Women and their offspring are at
increased risk for diabetes.
Underlying
cause
• Decision making capacity
9/02/2022 Group 2: Root Cause Analysis 31
Maternal factor
Report/Article Findings
Childhood Illness and Mortality in
Nepal: Trends and Determinants,
DHS further Analysis Report 2019
Under-5 children of women with weak decision-making capacity were
more likely to die before completing their fifth birthday (aOR: 1.9, 95%
CI: 1.1-3.5, p < 0.05) compared to children of women with strong
decision-making capacity.
Underlying
cause
• Exposure to public media program
9/02/2022 Group 2: Root Cause Analysis 32
Maternal factor
Report Findings
Maternal and Newborn Health Disparities, UNICEF Neonatal mortality is lower among births to those
exposed to public health media (27 deaths per 1,000
live births in 2011 and 29 in 2006) than among those
not exposed to public health media (37 deaths per
1,000 live births in 2011 and 35 in 2006).
Underlying
cause
• Multiple pregnancies
9/02/2022 Group 2: Root Cause Analysis 33
Maternal factor
Article Method Findings
General obstetrics: Preterm birth
and multiple pregnancy in
European countries participating
in the PERISTAT project
Analyses of data from vital
statistics, birth registers or
national samples of births.
The proportion of multiple births before
37 weeks varied from 68.4% in Austria to
42.2% in the Republic of Ireland. In half of
the countries, over 20% of all preterm
births were attributable to multiple
births.
Trends in preterm birth:
singleton and multiple
pregnancies in the Netherlands,
2000–2007
Nationwide prospective
cohort study. studied
1451246 pregnant women
from 2000 to 2007.
In multiple pregnancies, the preterm birth
risk increased significantly (47.3–47.7%,
P =0.047), mainly as a result of medically
indicated preterm birth, which increased
from 15.0% to 17.9% (P<0.0001).
Underlying
cause
• Inadequate dietary intake
9/02/2022 Group 2: Root Cause Analysis 34
Maternal factor
Article Method Findings
The differential effect of maternal
dietary patterns on quantiles of
Birthweight
Data for the study were obtained
from a Mother and Child in the
Environment birth cohort study in
Durban South Africa.
Quantile regression was used to
investigate the effect of maternal
dietary patterns on quantiles of
birthweight.
Both maternal undernutrition and
overnutrition of protein rich foods,
junk foods, snack and energy foods
and vegetable rich foods have shown
a substantial varying effects on those
infants with birthweights in the
lower and upper birthweight
quantiles.
Underlying
cause
• Inadequate dietary intake
9/02/2022 Group 2: Root Cause Analysis 35
Maternal factor
Article Method Findings
Associations between Maternal
Dietary Patterns and Infant
Birth Weight in the NISAMI Cohort:
A Structural Equation
Modeling Analysis
Prospective cohort study was
performed with pregnant women
registered with the prenatal service
(Bahia, Brazil)
Adherence to the “Meat, Eggs, Fried
Snacks and Processed foods” dietary
pattern (pattern 1) and the “Sugars
and Sweets” dietary pattern (pattern
4) in the third trimester directly
reduced birth weight, by 98.42 g
(Confidence interval (CI) 95%: 24.26,
172.59) and 92.03 g (CI 95%: 39.88,
165.30), respectively.
Insufficient dietary consumption in
the third trimester increases maternal
complications during pregnancy,
indirectly reducing birth weight by
145 g (CI 95%: −21.39, −211.45)
Underlying
cause
• Antenatal care visit
9/02/2022 Group 2: Root Cause Analysis 36
Maternal factor
Document Findings
Trends and determinants of Neonatal Mortality
NDHS further Analysis
In the 2011 survey, among most recent births the NMR
was:
13 deaths per 1,000 live births among those whose
mothers had made at least 4 ANC visits
24 deaths per 1,000 live births among those whose
mothers had fewer than 4 ANC visits
Underlying
cause
• Antenatal care visit
9/02/2022 Group 2: Root Cause Analysis 37
Maternal factor
Article Method Findings
Antenatal care services and
its implications for vital and
health outcomes of children:
evidence from 193 surveys in
69 low-income and middle-
income countries
used nationally
representative health and
welfare data from 193
Demographic and Health
Surveys conducted between
1990 and 2013 from 69 low-
income and middle-income
countries
At least one ANC visit was associated with a 1.04%
points reduced probability of neonatal mortality and
a 1.07% points lower probability of infant mortality.
Having at least four ANC visits and having at least
once seen a skilled provider reduced the probability
by an additional 0.56% and 0.42% points,
respectively.
At least one ANC visit is associated with a 3.82%
points reduced probability of giving birth to a low
birth weight baby and a 4.11 and 3.26% points
reduced stunting and underweight probability.
Underlying
cause
• Antenatal care visit
9/02/2022 Group 2: Root Cause Analysis 38
Maternal factor
Article Method Findings
Impact of Antenatal Care on
Maternal and Perinatal
utcome:
A Study at Nepal Medical
College Teaching Hospital
Prospective descriptive study
of women delivered at Nepal
Medical College Teaching
Hospital (NMCTH)
The proportion of low birth weight and preterm
babies was higher in women with inadequate or no
ANC.
Perinatal mortality rate in no ANC and inadequate
ANC groups was 16 times higher than that in the
group with more than 4 visits
Underlying
cause
Delivery factor
• Delivery assistance
9/02/2022 39
Group 2: Root Cause Analysis
Article/ Report Findings
WHO. Trends in maternal mortality: 2000 to
2017: estimates by WHO, UNICEF, UNFPA,
World Bank Group and the United Nations
population division..
66% of maternal deaths and 43% of neonatal
deaths can be prevented in births that occur with
assistance of SBA
Underlying
cause
Delivery factor
• Place of delivery
9/02/2022 40
Group 2: Root Cause Analysis
Article/ Report Method Findings
Infant death rates and animal-
shed delivery in remote rural
areas of Nepal
Retrospective study in Jumla Children born in an animal shed
were at significantly higher risk of
dying than were those born in the
home even after adjusting for socio-
economic status and biological
variables.
The association was stronger in the
neonatal period (OR=2.8, 95% CI
1.9–4.1) than during the post-
neonatal period (OR=1.3, 95% CI
1.02–1.6).
Underlying
cause
Delivery factor
• Place of delivery
9/02/2022 41
Group 2: Root Cause Analysis
Article/ Report Method Findings
Is newborn survival influenced by
place of delivery? A comparison of
home, public sector and private sector
deliveries in India
Data of NFHS-4(national-level
household survey) , 2015–16
It was found that the adjusted odds of
death in the early neonatal period
were lower for deliveries in public
health facilities than for home
deliveries (OR 0.833 p<0.01)
Underlying
cause
Delivery factor
• Mode of delivery
9/02/2022 42
Group 2: Root Cause Analysis
Article/ Report Method Findings
Neonatal morbidity and mortality by
mode of delivery in very preterm
neonates
Retrospective cohort study
of all singleton pregnancies,
delivered from 22 to 29
weeks' gestation between
2010 and 2015
Cesarean delivery performed for
standard obstetrical indications in
cases of very preterm neonates is
associated with a decreased risk for
death in the delivery room or
within 24 hours of delivery but is
not associated with an
improvement in the overall
morbidity or mortality.
Underlying
cause
Delivery factor
• Mode of delivery
9/02/2022 43
Group 2: Root Cause Analysis
Article/ Report Method Findings
Neonatal respiratory morbidity and
mode of delivery at term: influence of
timing of elective caesarean section
Rosie Maternity Hospital,
Cambridge
All cases of respiratory
distress syndrome or
transient tachypnoea at
term requiring admission
to the neonatal intensive
care unit were recorded
prospectively for nine
years.
The incidence of respiratory
morbidity was significantly higher
for the group delivered by
caesarean section before the onset
of labour (35.5/1000) compared
with caesarean section during
labour (12.2/1000) (odds ratio,
2.9; 95% CI 1.9–4.4; P < 0.001), and
compared with vaginal delivery
(5.3/1000) (odds ratio, 6.; 95% CI
5.-8.9; P < 0.001).
Underlying
cause
Child related factor
• Age of child
9/02/2022 44
Group 2: Root Cause Analysis
Article/ Report Findings
Childhood Illness and Mortality in Nepal: Trends
and Determinants, DHS further Analysis Report
2019
Children above age 2 were less likely to have diarrhea,
ARI and fever compared to a child age 2 and below.
Underlying
cause
Child related factor
• Sex of child
9/02/2022 45
Group 2: Root Cause Analysis
Article/ Report Finding
Childhood Illness and Mortality in
Nepal: Trends and Determinants, DHS
further Analysis Report 2019
Female children (aOR: 0.7, 95% CI: 0.6-0.8, p < 0.01) were less likely
to have fever compared to the male children
Underlying
cause
Child related factor
• Birth order
9/02/2022 46
Group 2: Root Cause Analysis
Article/Report Method Findings
Childhood Illness and
Mortality in Nepal: Trends
and Determinants, DHS
further Analysis Report
2019
Used data from NDHS 2006 and NDHS
2016
The prevalence of diarrhea was higher
among children with higher birth order.
Association between order
of birth and chronic
malnutrition of children: a
study of nationally
representative Bangladeshi
sample
Used data from the Bangladesh
Demographic Health Survey, 2011
(BDHS)
Order of birth is one of the significant
predictors of child being stunted. Third
order, fourth order, and fifth or higher
order children are 24%, 30%, and 72%,
respectively, more likely to be stunted
after adjusting for all other variables.
Underlying
cause
Child related factor
• Birth Interval
9/02/2022 47
Group 2: Root Cause Analysis
Mortality rates are higher among children
born less than 2 years after a previous
birth than among children born 2 or more
years after a previous birth
Source: NDHS 2016
Underlying
cause
Child related factor
• Baby’s weight at birth
9/02/2022 48
Group 2: Root Cause Analysis
• Neonates weighing less than normal
weight (2,500 gram to 3,499 gram) at
birth were more likely to die in the
neonatal period compared to neonates
with normal birth weight.
Underlying
cause
Child related factor
• Dietary intake
9/02/2022 49
Group 2: Root Cause Analysis
Article Method Findings
Effects of dietary and health
factors on nutritional status of
children in pastoral settings in
Borana, southern Ethiopia,
August–October 2015
Community based cross-sectional
study, using multistage cluster
sampling
Children who consumed more
diverse foods were at a lower risk of
being underweight (PR = 0.72, 95 %
CL: 0.59–0.88), stunted (PR = 0.80,
95 % CL: 0.68–0.93) and wasted
(PR = 0.42, 95 % CL: 0.27–0.66).
Intake of increased milk frequency
was also associated with lower risk
of underweight (PR = 0.86, 95 %CL:
0.76–0.97), stunting (PR = 0.83, 95
%CL: 0.75–0.91) and wasting
(PR = 0.73, 95 %CL: 0.56–0.96).
Underlying
cause
Child related factor
• Dietary intake
9/02/2022 50
Group 2: Root Cause Analysis
Article Method Findings
The relationship between dietary
intake and stunting among pre-
school children in Upper Egypt
Community-based cross-sectional
study
Included 497 pre-school children
aged 2-5 years in rural Upper Egypt.
Children who were stunted
significantly consumed poultry, eggs
and fruits less often than non-
stunted children
Dietary diversity, dietary patterns
and dietary intake are associated
with stunted children in
Jeneponto District, Indonesia
Follow up study, namely nutrition
intervention in pregnant and
lactating women using the RCT-DB
design.
The results showed that a lack
of energy intake associated with
children stunted was 132 (44.9%)
(p = 0.050), and lacked fat
intake was 125 (45.6%) (p < 0.050).
For the dietary diversity there is a
relationship with stunted at a mean
value of 7.51 ± 0.87 (p < 0.050).
Underlying
cause
Child related factor
• Breastfeeding
• Infants aged 0–5 months who are not breastfed have;
• seven-fold times increased risks of death from diarrhoea compared
with infants who are exclusively breastfed
• five-fold times increased risks of death from pneumonia compared
with infants who are exclusively breastfed
• At the same age, non-exclusive rather than exclusive breastfeeding
results in more than two-fold increased risks of dying from diarrhoea or
pneumonia
• 6 to 11 month old infants who are not breastfed also have an increased
risk of such deaths.
9/02/2022 51
Group 2: Root Cause Analysis
Source: Where and why are 10 million children dying every year? | Child Survival I | The Lancet
Underlying
cause
Child related factor
• Immunization
9/02/2022 52
Group 2: Root Cause Analysis
Article Method Findings
Immunization Coverage and
Infant Mortality Rate in
Developing Countries
For immunization coverage, that
of DPT (diphtheria, tetanus,
pertussis) and that of poliomyelitis
were used since they were most
often available.
Immunization coverage is one of the
main predictors of the infant
mortality rate.
Underlying
cause
Child related factor
• Sedentary lifestyle
9/02/2022 53
Group 2: Root Cause Analysis
Article Method Findings
Food habits, physical activities
and sedentary lifestyles of
eutrophic and obese school
children: a case–control study
Of 1,441 children (6–12 years old)
screened in elementary schools, 202
obese (BMI ≥95th pc) and 200
normal-weight children (BMI 25th-
75th pc), as defined by the 2000
CDC criteria, were included in a
case–control study.
The children who performed ≥1
h/wk of exercise at school
demonstrated an inverse association
for the risk of obesity compared
with those who performed <1 h/wk
(OR: 0.33; 95% CI: 0.15:0.72)
Underlying
cause
• Postnatal check-up
9/02/2022 Group 2: Root Cause Analysis 54
Post-delivery factors
Article/Report Evidence
Trends and determinants of Neonatal Mortality
NDHS further Analysis
Neonatal mortality among babies born to a mother
who had a postnatal visit within three days of birth
was 17 deaths per 1,000 live births, compared with a
rate of 19 among those who had not had a postnatal
visit.
Underlying
cause
• Immediate newborn care
9/02/2022 Group 2: Root Cause Analysis 55
Post-delivery factors
Reports/Article Evidences
Childhood Illness and Mortality in Nepal: Trends
and Determinants, DHS further Analysis Report
2019
Those who did not receive immediate newborn care
were nearly twice as likely to die before reaching
their fifth birthday.
Trends and determinants of Neonatal Mortality
NDHS further Analysis
In the 2011 survey, NMR was:
• 12 deaths per 1,000 live births among babies who
received good immediate newborn care
• 18 deaths per 1,000 live births among babies who
did not receive good immediate care.
• Cord care practices also affect neonatal mortality
rates.
Underlying
cause
9/02/2022 56
03 Conceptual
Framework
Brainstorming
9/02/2022 Group 2: Root Cause Analysis 57
Root Causes
05
Biomass use
• The exposure of children to air pollution in low resource setting is believed to
be high because of the common use of biomass fuels for cooking.
• Globally solid fuel use is estimated to cause 3.5 million premature deaths per
year around 1 million of which are attributed to acute respiratory infections
in young children.1
• The burning of biomass in Nepal has been shown to exacerbate respiratory
disease in children.
9/02/2022 58
Group 2: Root Cause Analysis
1. Devakumar D, Semple S, Osrin D, Yadav SK, Kurmi OP, Saville NM, Shrestha B, Manandhar DS, Costello A, Ayres JG. Biomass fuel use and the exposure of
children to particulate air pollution in southern Nepal. Environment international. 2014 May 1;66:79-87.
Root cause
Biomass use
• In Nepal about 2/3rd of households rely on biofuels mainly wood, in their
daily cooking practice.2
• About 40% of children under age 5 are stunted, 11% are wasted and 29% are
underweight.2
• In a study which analyzed the secondary data from 2011 NDHS showed
positive association between the biofuel smoke(high pollution fuel exposure)
and stunting among children under 5.2
• The estimated stunting prevalence among children with exposure to biofuel
smoke was about twice as high as the children without exposure.
9/02/2022 59
Group 2: Root Cause Analysis
2. Dadras O, Chapman RS. Biomass fuel smoke and stunting in early childhood: finding from a national survey Nepal. Journal of Health Research. 2017 Nov
28;31(Suppl. 1):s7-15
Root cause
Poor hygiene practices
• Poor hygiene practices contributes to the burden of disease from diarrhea.
• High rates of diarrheal disease in childhood predispose to malnutrition
among young children.
• Diarrhea risk increases during the infant weaning period in low income
settings and child growth often falters after the initiation of weaning.
• Poor hygiene practices include long gaps between meal preparation and
feeding, use of unclean utensils, washing of utensils in contaminated water,
allowing flies to access foods, not washing hands before food handling and
feeding and use of dirty clothes for wiping hands/utensils.3
9/02/2022 60
Group 2: Root Cause Analysis
3. Gautam OP, Schmidt WP, Cairncross S, Cavill S, Curtis V. Trial of a Novel Intervention to Improve Multiple Food Hygiene Behaviors in Nepal. The American
journal of tropical medicine and hygiene. 2017 Jun 7;96(6):1415-26.
Root cause
Poor hygiene practices
• Children in low-income countries face a range of interrelated problems such as
inadequate water, sanitation and hygiene(WASH), consequent infections and
growth and development impairments.4
• In a study in eastern region of Nepal it showed that 31.5% of children were found
to be infected with intestinal parasites and parasitic infections were significantly
associated with not using soap after defecation, the habit of thumb sucking, and
not wearing sandals. 5
• Access to a safe , reliable and continuous supply of water, cultural practices of
painting mud floors in home with animal dung etc are some reasons which is
responsible for poor hygiene practices.
9/02/2022 61
Group 2: Root Cause Analysis
4. Shrestha A, Six J, Dahal D, Marks S, Meierhofer R. Association of nutrition, water, sanitation and hygiene practices with children’s nutritional status,
intestinal parasitic infections and diarrhoea in rural Nepal: a cross-sectional study. BMC public health. 2020 Dec;20(1):1-21.
5. Sah RB, Bhattarai S, Yadav S, Baral R, Jha N, Pokharel PK. A study of prevalence of intestinal parasites and associated risk factors among the school
children of Itahari, Eastern Region of Nepal. Tropical parasitology. 2013 Jul;3(2):140.
Root cause
Unsafe drinking water and food
• Intestinal parasitic infections are most common in school going children and
they tend to occur in high intensity in 3-12 year age group.
• Protozoa and Helminthes spread faeco-orally through contaminated sources.
• High prevalence of intestinal parasitic infection often occurs in low socio-
economic condition, characterized by inadequate water supply and poor
sanitary disposal of faeces.6
• In a study done in saktikhor , Chitwan showed parasitic infection rate in well
water higher(16/55) than that of tap water(53/253).7
9/02/2022 62
Group 2: Root Cause Analysis
6. Al-Agha R, Teodorescu I. Intestinal parasites infestation and anemia in primary school children in Gaza Governorates--Palestine. Roumanian archives of
microbiology and immunology. 2000 Jan 1;59(1-2):131-43.
7. Bhattachan B, Panta YB, Tiwari S, Sherchand JB, Rai SK. Intestinal parasitic infection among school children in Chitwan District Of Nepal. Journal of Institute
of Medicine. 2015 Nov 6;38(2).
Root cause
Unsafe drinking water and food
• In one of the community-based survey of kaski district which included 524
mother of 3-5 years old children who are no longer breastfed showed that
34% did not choose healthy food from stores and 12 % lacked food.
• Study suggested that important factors of knowledge, attitudes and beliefs
about healthy diet are poverty, education, strong cultural beliefs, family size,
household income and growing preference for fast food.
• It also showed that almost 19% mothers of the community believed that
feeding of green leafy vegetables and fruits during the illness period caused
harm to child and 10% mothers have no knowledge about it.
9/02/2022 63
Group 2: Root Cause Analysis
8. Acharya J, van Teijlingen E, Murphy J, Hind M. Study on nutritional problems in preschool aged children of Kaski district of Nepal. Journal of Multidisciplinary
Research in Healthcare. 2015 Apr 23;1(2):97-118.
Root cause
Socioeconomic characteristics
• The rate of full vaccination coverage shows a clear increment with increasing
maternal education in all NDHS years, being 57% in infants of mothers with no
education to 90.9% among those with higher education in 2001 and from 67.8%
to 91.2% in 2016.9
• Infants born to mothers with primary or higher education had higher chances of
being fully immunized compared to infants born to mothers with no education.
• Similarly, infants born in households with higher wealth quintiles had higher
chances of being fully immunized compared to infants born in the poorest wealth
quintile.
9/02/2022 64
Group 2: Root Cause Analysis
9. Acharya K, Paudel YR, Dharel D. The trend of full vaccination coverage in infants and inequalities by wealth quintile and maternal education: analysis from four
recent demographic and health surveys in Nepal. BMC public health. 2019 Dec;19(1):1-1
Root cause
Socioeconomic characteristics
• In one of the study which has analyzed DHS data from 42
developing countries shown the association between
socioeconomic characteristic and child health.10
• Household wealth offers leverage for improving child health
within countries in much the same way that economic
development level can improve child health nationally.
• It provides an opportunity to improve the material circumstances
of the family and to purchase goods and services that are health
enhancing
9/02/2022 65
Group 2: Root Cause Analysis
10. Boyle MH, Racine Y, Georgiades K, Snelling D, Hong S, Omariba W, Hurley P, Rao-Melacini P. The influence of economic development level, household wealth
and maternal education on child health in the developing world. Social science & medicine. 2006 Oct 1;63(8):2242-54.
Root cause
Socioeconomic characteristics
• Women's education offers leverage for improving child health through the
provision of more effective parental care in the home and enhanced use of
treatment and prevention services from the health care system.
• Maternal education may also contribute to delayed child bearing, longer birth
intervals and fewer children as well as improved opportunities to pursue
work outside the home and to generate additional household wealth.
• Studies show repeatedly that women's education is associated with longer life
expectancies, lower death rates and improved child health and nutrition.
9/02/2022 66
Group 2: Root Cause Analysis
10. Boyle MH, Racine Y, Georgiades K, Snelling D, Hong S, Omariba W, Hurley P, Rao-Melacini P. The influence of economic development level, household wealth
and maternal education on child health in the developing world. Social science & medicine. 2006 Oct 1;63(8):2242-54.
Root cause
Socioeconomic characteristics
• A child’s socioeconomic status can be reflected by parent or family-based
characteristics(parental education, occupation and family affluence).
• Socioeconomic status is related to physical and psychosocial health of children
and adolescents.
• Effects of socioeconomic status on child health are mediated by structural,
behavioral and psychosocial factors.
• Low SES shows adverse short-time and long-time effects on physical and
psychosocial health of child.
9/02/2022 67
Group 2: Root Cause Analysis
11. Poulain T, Vogel M, Kiess W. Review on the role of socioeconomic status in child health and development. Current Opinion in pediatrics. 2020 Apr
1;32(2):308-14
Root cause
Cultural practices
• Nepal being a culturally rich country, has diverse customs, caste groups and
deep-rooted religious beliefs and practices.
• One of the disheartening cultural practices women are subject to is
“chhaupadi Pratha”(seclusion of women during menstruation and after
childbirth).12
• Women during childbirth and after delivery are separated from the family
members for 10-12 days. During isolation women are not allowed to consume
milk and milk products such as ghee nor are they allowed other nourishing
food items.12
9/02/2022 68
Group 2: Root Cause Analysis
12. Lama D, Kamaraj R. Maternal and Child Health Care in Chhaupadi Pratha, Social seclusion of mother and child after delivery in Achham, Nepal. Public Health
Research Series. 2015;4:22-33
Root cause
Cultural practices
• Traditionally in care of newborns the child is given a bath immediately after
birth and daily until the mother is purified.
• Health problems like cough, cold, fever, diarrhea and pneumonia are the most
common problem reported due to such cultural practices.
• Many women go through difficulties and with no doubt the care given to the
newborns are also compromised due to such cultural practices which results
in child’s poor health outcome.
9/02/2022 69
Group 2: Root Cause Analysis
12. Lama D, Kamaraj R. Maternal and Child Health Care in Chhaupadi Pratha, Social seclusion of mother and child after delivery in Achham, Nepal. Public Health
Research Series. 2015;4:22-33
Cultural practices
• The practice of shaving off newborn’s head after delivery was found in some
clusters in Jhapa Rajbanshi.
• A case of neonatal tetanus after shaving head recorded in Jhapa.
• Health worker reported that child died from neonatal tetanus resulted after
3-4 days of shaving off the head.
• Son preference culture and practices has guided to have more childbirth until
a son birth.
• Caring mother and child are good when boy is born due to which gender
discrimination creates an environment for maternal and child mortality.
9/02/2022 70
Group 2: Root Cause Analysis
13. Subba NR. Traditional practices on mother and child health care in Rajbanshi Community of Nepal. American Journal of Health Research. 2015;3(5):310-7.
Health system characteristics
• Distance to health facility is related to utilization of health services which
affects the child health.
• Compared to communities that are 2-3 hours away from a health post, use of
both antenatal and child immunization services is higher when the health
post is located within the community.
• Immunization coverage is 3-4 times higher among families whose nearest
health post is a high quality one than among those who have a poor-quality
post.
9/02/2022 71
Group 2: Root Cause Analysis
14. Acharya LB, Cleland J. Maternal and child health services in rural Nepal: does access or quality matter more?. Health policy and planning. 2000 Jun
1;15(2):223-9
Health system characteristics
• Skilled birth attendants provide important interventions that improve
maternal and neonatal health and reduce maternal and neonatal mortality.
• Utilization remains poor in rural and remote areas of Nepal.
• In a study among 2481 women of mid and far western Nepal who delivered a
baby within. Past 12 months showed that 48% of the women delivered their
babies with aid of SBAs.
• Distance from health facilities and inadequate transportation pose major
barriers to the utilization of SBAs.
9/02/2022 72
Group 2: Root Cause Analysis
15. Choulagai B, Onta S, Subedi N, Mehata S, Bhandari GP, Poudyal A, Shrestha B, Mathai M, Petzold M, Krettek A. Barriers to using skilled birth attendants’ services in
mid-and far-western Nepal: a cross-sectional study. BMC international health and human rights. 2013 Dec;13(1):1-9.
Root cause
Health system characteristics
• Despite efforts by the GoN, data from last three DHS show contribution of
neonatal deaths to infant and child mortality.
• There are several community-based programs like safe motherhood, birth
preparedness package, community-based newborn care package and IMCI.
• Challenges like inadequate policy environment, funding gaps, inadequate
procurement and insufficient supplies of commodities, as well as human
resource management has been found to be impeding service delivery.
9/02/2022 73
Group 2: Root Cause Analysis
16. Khatri RB, Mishra SR, Khanal V, Gelal K, Neupane S. Newborn health interventions and challenges for implementation in Nepal. Frontiers in Public Health.
2016 Feb 11;4:15.
Root cause
Health system characteristics
- Poor adherences to essential newborn care standards
- Low programmatic priority of birth preparedness package
- Inadequate family and community awareness on preterm labor
- Poor supply of logistics to perform KMC
- Poor competency of SBAs to manage the birth asphyxia
- Lack of postnatal care guideline for newborn at home
- Delay procurement and poor supply chain management
- Lack of neonatal nurse and other skilled health human resources
9/02/2022 74
Group 2: Root Cause Analysis
16. Khatri RB, Mishra SR, Khanal V, Gelal K, Neupane S. Newborn health interventions and challenges for implementation in Nepal. Frontiers in Public Health.
2016 Feb 11;4:15.
Root cause
9/02/2022 75
03 Conceptual
Framework
Brainstorming
Political and economic structure
- The politics of health sector decision-making and resources allocation can be
more complicated in the context of decentralization.
- Weaknesses in access to and use of data and information, human resource
capacity and sub-national democratization limit effective political advocacy
for the health sector.
- Political economy analysis is an important for determining the reasons for
decisions made and resource allocations in the health sector.
9/02/2022 76
Group 2: Root Cause Analysis
17. Hipgrave DB, Anderson I, Sato M. A rapid assessment of the political economy of health at district level, with a focus on maternal, newborn and child health, in
Bangladesh, Indonesia, Nepal and the Philippines. Health Policy and Planning. 2019 Dec 1;34(10):762-72.
9/02/2022 Group 2: Root Cause Analysis 77
Political and economic structure
Barnish, M.S., Tan, S.Y., Taeihagh, A. et al. Linking political exposures to child and maternal health outcomes: a
realist review. BMC Public Health 21, 127 (2021)
9/02/2022 Group 2: Root Cause Analysis 78
Conclusion
06
• Thus child health is determined by the state of child morbidity and mortality.
• Child morbidity and mortality has its cause deep rooted which needs to be
looked for.
• Root cause analysis is required to address the problems of child health and to
design the intervention to address it
• For every immediate cause there is underlying and that underlying cause
remains or prevails due to root cause.
• Child mortality or morbidity may be due to disease or conditions like injuries.
Underlying causes like outdoor air pollution, child care practices, indoor air
pollution combined contributes to prevalence of such disease/conditions .
• And as we further analyse- factors like poverty, illiteracy, low SES etc are the
root causes.
9/02/2022 Group 2: Root Cause Analysis 79
Conclusion
Photo Courtesy: NENAP 2016
9/02/2022 Group 2: Root Cause Analysis 81
References
07
References
1. Devakumar D, Semple S, Osrin D, Yadav SK, Kurmi OP, Saville NM, Shrestha B, Manandhar DS, Costello
A, Ayres JG. Biomass fuel use and the exposure of children to particulate air pollution in southern
Nepal. Environment international. 2014 May 1;66:79-87.
2. Dadras O, Chapman RS. Biomass fuel smoke and stunting in early childhood: finding from a national
survey Nepal. Journal of Health Research. 2017 Nov 28;31(Suppl. 1):s7-15.
3. Gautam OP, Schmidt WP, Cairncross S, Cavill S, Curtis V. Trial of a Novel Intervention to Improve
Multiple Food Hygiene Behaviors in Nepal. The American journal of tropical medicine and hygiene.
2017 Jun 7;96(6):1415-26
4. Shrestha A, Six J, Dahal D, Marks S, Meierhofer R. Association of nutrition, water, sanitation and
hygiene practices with children’s nutritional status, intestinal parasitic infections and diarrhoea in
rural Nepal: a cross-sectional study. BMC public health. 2020 Dec;20(1):1-21.
5. 5. Sah RB, Bhattarai S, Yadav S, Baral R, Jha N, Pokharel PK. A study of prevalence of intestinal
parasites and associated risk factors among the school children of Itahari, Eastern Region of Nepal.
Tropical parasitology. 2013 Jul;3(2):140.
9/02/2022 82
Group 2: Root Cause Analysis
References
6. Al-Agha R, Teodorescu I. Intestinal parasites infestation and anemia in primary school children in Gaza
Governorates--Palestine. Roumanian archives of microbiology and immunology. 2000 Jan 1;59(1-2):131-
43.
7. Bhattachan B, Panta YB, Tiwari S, Sherchand JB, Rai SK. Intestinal parasitic infection among school
children in Chitwan District Of Nepal. Journal of Institute of Medicine. 2015 Nov 6;38(2).
8. Acharya J, van Teijlingen E, Murphy J, Hind M. Study on nutritional problems in preschool aged children
of Kaski district of Nepal. Journal of Multidisciplinary Research in Healthcare. 2015 Apr 23;1(2):97-118.
9. Acharya K, Paudel YR, Dharel D. The trend of full vaccination coverage in infants and inequalities by
wealth quintile and maternal education: analysis from four recent demographic and health surveys in
Nepal. BMC public health. 2019 Dec;19(1):1-1.
10. Boyle MH, Racine Y, Georgiades K, Snelling D, Hong S, Omariba W, Hurley P, Rao-Melacini P. The
influence of economic development level, household wealth and maternal education on child health in the
developing world. Social science & medicine. 2006 Oct 1;63(8):2242-54.
9/02/2022 83
Group 2: Root Cause Analysis
References
11. Poulain T, Vogel M, Kiess W. Review on the role of socioeconomic status in child health and
development. Current Opinion in pediatrics. 2020 Apr 1;32(2):308-14.
12. Lama D, Kamaraj R. Maternal and Child Health Care in Chhaupadi Pratha, Social seclusion of mother
and child after delivery in Achham, Nepal. Public Health Research Series. 2015;4:22-33.
13. Subba NR. Traditional practices on mother and child health care in Rajbanshi Community of Nepal.
American Journal of Health Research. 2015;3(5):310-7.
14. Acharya LB, Cleland J. Maternal and child health services in rural Nepal: does access or quality matter
more?. Health policy and planning. 2000 Jun 1;15(2):223-9.
15. Choulagai B, Onta S, Subedi N, Mehata S, Bhandari GP, Poudyal A, Shrestha B, Mathai M, Petzold M,
Krettek A. Barriers to using skilled birth attendants’ services in mid-and far-western Nepal: a cross-
sectional study. BMC international health and human rights. 2013 Dec;13(1):1-9.
16. Khatri RB, Mishra SR, Khanal V, Gelal K, Neupane S. Newborn health interventions and challenges for
implementation in Nepal. Frontiers in Public Health. 2016 Feb 11;4:15.
9/02/2022 84
Group 2: Root Cause Analysis
References
17. Hipgrave DB, Anderson I, Sato M. A rapid assessment of the political economy of health at
district level, with a focus on maternal, newborn and child health, in Bangladesh, Indonesia, Nepal
and the Philippines. Health Policy and Planning. 2019 Dec 1;34(10):762-72
18. Perin J, Mulick A, Yeung D, Villavicencio F, Lopez G, Strong KL, Prieto-Merino D, Cousens S,
Black RE, Liu L. Global, regional, and national causes of under-5 mortality in 2000–19: an
updated systematic analysis with implications for the Sustainable Development Goals. The
Lancet Child & Adolescent Health. 2022 Feb 1;6(2):106-15.
19. Singh, Samikshya, Gambhir Shrestha, Deepak Joshi, and Tesfayi Gebreselassie. 2019.
Childhood Illness and Mortality in Nepal: Trends and Determinants. DHS Further Analysis
Reports No. 120. Rockville, Maryland, USA: ICF.
20. Ministry of Health, New ERA, and ICF. 2017. Nepal Demographic and Health Survey 2016.
Kathmandu, Nepal: Ministry of Health, Nepal.
21. Blondel B, Macfarlane A, Gissler M, Breart G, Zeitlin J. General obstetrics: Preterm birth and
multiple pregnancy in European countries participating in the PERISTAT project. BJOG: An
International Journal of Obstetrics & Gynaecology. 2006 May;113(5):528-35.
9/02/2022 85
Group 2: Root Cause Analysis
References
22. Wells JC, Marphatia AA, Cortina‐Borja M, Manandhar DS, Reid AM, Saville NM. Associations of maternal
age at marriage and pregnancy with infant undernutrition: Evidence from first‐time mothers in rural
lowland Nepal. American Journal of Biological Anthropology. 2022 May 24.
23. Fall CH, Sachdev HS, Osmond C, Restrepo-Mendez MC, Victora C, Martorell R, Stein AD, Sinha S, Tandon
N, Adair L, Bas I. Association between maternal age at childbirth and child and adult outcomes in the
offspring: a prospective study in five low-income and middle-income countries (COHORTS collaboration).
The Lancet Global Health. 2015 Jul 1;3(7):e366-77.
24. Nasrullah M, Zakar R, Zakar MZ, Krämer A. Girl-child marriage and its association with morbidity and
mortality of children under 5 years of age in a nationally-representative sample of Pakistan. The Journal of
pediatrics. 2014 Mar 1;164(3):639-46.
25. Schaaf JM, Mol BW, Abu‐Hanna A, Ravelli AC. Trends in preterm birth: singleton and multiple
pregnancies in the Netherlands, 2000–2007. BJOG: An International Journal of Obstetrics & Gynaecology.
2011 Sep;118(10):1196-204.
26. Verma A, Cleland J. Is newborn survival influenced by place of delivery? a comparison of home, public
sector and private sector deliveries in India. Journal of Biosocial Science. 2022 Mar;54(2):184-98.
9/02/2022 86
Group 2: Root Cause Analysis
References
27. Thapa N, Chongsuvivatwong V, Geater AF, Ulstein M, Bechtel GA. Infant death rates and animal-shed
delivery in remote rural areas of Nepal. Social science & medicine. 2000 Nov 16;51(10):1447-56.
28. WHO. Trends in maternal mortality: 2000 to 2017: estimates by WHO, UNICEF, UNFPA, World Bank
Group and the United Nations population division. Geneva: World Health Organization; 2019. p. 2019.
9/02/2022 87
Group 2: Root Cause Analysis
THANK YOU
Photo Courtesy: edgeofseven

More Related Content

What's hot

Critical Review of NHSS-IP_Sagar Parajuli.pptx
Critical Review of NHSS-IP_Sagar Parajuli.pptxCritical Review of NHSS-IP_Sagar Parajuli.pptx
Critical Review of NHSS-IP_Sagar Parajuli.pptxSagarParajuli9
 
Human resource for health in Nepal
Human resource for health in NepalHuman resource for health in Nepal
Human resource for health in NepalNeelam suwal
 
15th five year plan of Nepal
15th five year plan of Nepal15th five year plan of Nepal
15th five year plan of NepalDeepakPandey315
 
national safe abortion policy 2002
national safe abortion policy 2002national safe abortion policy 2002
national safe abortion policy 2002chetraj pandit
 
Sexual and reproductive health and rights of women in nepal (SRHR)
Sexual and reproductive health and rights of women in nepal (SRHR)Sexual and reproductive health and rights of women in nepal (SRHR)
Sexual and reproductive health and rights of women in nepal (SRHR)WOREC Nepal
 
Swot analysis of safe motherhood program of Nepal
Swot analysis of safe motherhood program of NepalSwot analysis of safe motherhood program of Nepal
Swot analysis of safe motherhood program of Nepalsirjana Tiwari
 
Critics of national health policy 1991
Critics of national health policy 1991Critics of national health policy 1991
Critics of national health policy 1991RAVIKANTAMISHRA
 
International Health Regulations & PHEIC
International Health Regulations & PHEICInternational Health Regulations & PHEIC
International Health Regulations & PHEICVignesh Loganathan
 
International Health Partnership
International Health PartnershipInternational Health Partnership
International Health PartnershipPrabesh Ghimire
 
National health policy &amp; plan process in nepal
National health policy &amp; plan process in nepalNational health policy &amp; plan process in nepal
National health policy &amp; plan process in nepalAnkita Kunwar
 
Organogram/ Organization Structure of Nepalese Health System (Updated- Nov 2021)
Organogram/ Organization Structure of Nepalese Health System (Updated- Nov 2021)Organogram/ Organization Structure of Nepalese Health System (Updated- Nov 2021)
Organogram/ Organization Structure of Nepalese Health System (Updated- Nov 2021)Prabesh Ghimire
 
Modes of hr for health production in nepal
Modes of hr for health production in nepalModes of hr for health production in nepal
Modes of hr for health production in nepalBikashDangaura1
 
Gender equality and social inclusion strategy
Gender equality and social inclusion strategyGender equality and social inclusion strategy
Gender equality and social inclusion strategyBikashDangaura1
 
Early Warning And Reporting System (EWARS) in Nepal
Early Warning And Reporting System (EWARS)  in NepalEarly Warning And Reporting System (EWARS)  in Nepal
Early Warning And Reporting System (EWARS) in NepalPublic Health
 
Women and health : Key facts in Nepal
Women and health : Key facts in NepalWomen and health : Key facts in Nepal
Women and health : Key facts in NepalWOREC Nepal
 
Central health services management in nepal
Central health services management in nepal Central health services management in nepal
Central health services management in nepal Sunita Rajbanshi
 
Family Planning Program in Nepal
Family Planning Program in NepalFamily Planning Program in Nepal
Family Planning Program in NepalMamataSharma3
 
A glimpse on health care financing transition in nepal
A glimpse on health care financing transition in nepalA glimpse on health care financing transition in nepal
A glimpse on health care financing transition in nepalKhemraj Subedi
 

What's hot (20)

MDGs in nepal
MDGs in nepalMDGs in nepal
MDGs in nepal
 
Critical Review of NHSS-IP_Sagar Parajuli.pptx
Critical Review of NHSS-IP_Sagar Parajuli.pptxCritical Review of NHSS-IP_Sagar Parajuli.pptx
Critical Review of NHSS-IP_Sagar Parajuli.pptx
 
Human resource for health in Nepal
Human resource for health in NepalHuman resource for health in Nepal
Human resource for health in Nepal
 
15th five year plan of Nepal
15th five year plan of Nepal15th five year plan of Nepal
15th five year plan of Nepal
 
national safe abortion policy 2002
national safe abortion policy 2002national safe abortion policy 2002
national safe abortion policy 2002
 
Sexual and reproductive health and rights of women in nepal (SRHR)
Sexual and reproductive health and rights of women in nepal (SRHR)Sexual and reproductive health and rights of women in nepal (SRHR)
Sexual and reproductive health and rights of women in nepal (SRHR)
 
Swot analysis of safe motherhood program of Nepal
Swot analysis of safe motherhood program of NepalSwot analysis of safe motherhood program of Nepal
Swot analysis of safe motherhood program of Nepal
 
Critics of national health policy 1991
Critics of national health policy 1991Critics of national health policy 1991
Critics of national health policy 1991
 
International Health Regulations & PHEIC
International Health Regulations & PHEICInternational Health Regulations & PHEIC
International Health Regulations & PHEIC
 
International Health Partnership
International Health PartnershipInternational Health Partnership
International Health Partnership
 
National health policy &amp; plan process in nepal
National health policy &amp; plan process in nepalNational health policy &amp; plan process in nepal
National health policy &amp; plan process in nepal
 
Organogram/ Organization Structure of Nepalese Health System (Updated- Nov 2021)
Organogram/ Organization Structure of Nepalese Health System (Updated- Nov 2021)Organogram/ Organization Structure of Nepalese Health System (Updated- Nov 2021)
Organogram/ Organization Structure of Nepalese Health System (Updated- Nov 2021)
 
Modes of hr for health production in nepal
Modes of hr for health production in nepalModes of hr for health production in nepal
Modes of hr for health production in nepal
 
Gender equality and social inclusion strategy
Gender equality and social inclusion strategyGender equality and social inclusion strategy
Gender equality and social inclusion strategy
 
Early Warning And Reporting System (EWARS) in Nepal
Early Warning And Reporting System (EWARS)  in NepalEarly Warning And Reporting System (EWARS)  in Nepal
Early Warning And Reporting System (EWARS) in Nepal
 
Women and health : Key facts in Nepal
Women and health : Key facts in NepalWomen and health : Key facts in Nepal
Women and health : Key facts in Nepal
 
Central health services management in nepal
Central health services management in nepal Central health services management in nepal
Central health services management in nepal
 
Family Planning Program in Nepal
Family Planning Program in NepalFamily Planning Program in Nepal
Family Planning Program in Nepal
 
Universal health care
Universal health care Universal health care
Universal health care
 
A glimpse on health care financing transition in nepal
A glimpse on health care financing transition in nepalA glimpse on health care financing transition in nepal
A glimpse on health care financing transition in nepal
 

Similar to Child Health in Nepal: Root Cause Analysis

Pugos Nutrition for Protection of Malnutrition among Children
Pugos Nutrition for Protection of Malnutrition among Children  Pugos Nutrition for Protection of Malnutrition among Children
Pugos Nutrition for Protection of Malnutrition among Children IIJSRJournal
 
Awareness of Mothers Regarding Child Abuse and Its Prevention in India
Awareness of Mothers Regarding Child Abuse and Its Prevention in IndiaAwareness of Mothers Regarding Child Abuse and Its Prevention in India
Awareness of Mothers Regarding Child Abuse and Its Prevention in Indiaijtsrd
 
Maternal Health in Nepal _Saroj Rimal.pptx
Maternal Health in Nepal _Saroj Rimal.pptxMaternal Health in Nepal _Saroj Rimal.pptx
Maternal Health in Nepal _Saroj Rimal.pptxsarojrimal7
 
Epidemiological aspects of maternal and child healthnew 3
Epidemiological aspects of maternal and child healthnew 3Epidemiological aspects of maternal and child healthnew 3
Epidemiological aspects of maternal and child healthnew 3Sinmayee Kumari
 
A Review on Maternal Common Mental Disorders and Associated Factors: A Cross‐...
A Review on Maternal Common Mental Disorders and Associated Factors: A Cross‐...A Review on Maternal Common Mental Disorders and Associated Factors: A Cross‐...
A Review on Maternal Common Mental Disorders and Associated Factors: A Cross‐...aponhasan
 
A STUDY OF EFFECT OF MATERNAL FACTORS INFLUENCING.pptx
A STUDY OF EFFECT OF MATERNAL FACTORS  INFLUENCING.pptxA STUDY OF EFFECT OF MATERNAL FACTORS  INFLUENCING.pptx
A STUDY OF EFFECT OF MATERNAL FACTORS INFLUENCING.pptxMeghaAirao
 
The association of predisposing and enabling factors
The association of predisposing and enabling factorsThe association of predisposing and enabling factors
The association of predisposing and enabling factorseSAT Publishing House
 
Maternal Mortality in Madhya Pradesh Complete.pptx
Maternal Mortality in Madhya Pradesh Complete.pptxMaternal Mortality in Madhya Pradesh Complete.pptx
Maternal Mortality in Madhya Pradesh Complete.pptxKritika Sarkar
 
POSHAN District Nutrition Profile_Balesore_Odisha
POSHAN District Nutrition Profile_Balesore_OdishaPOSHAN District Nutrition Profile_Balesore_Odisha
POSHAN District Nutrition Profile_Balesore_OdishaPOSHAN
 
POSHAN District Nutrition Profile_Kandhamal_Odisha
POSHAN District Nutrition Profile_Kandhamal_OdishaPOSHAN District Nutrition Profile_Kandhamal_Odisha
POSHAN District Nutrition Profile_Kandhamal_OdishaPOSHAN
 
KHALFAN PRESENTATION FOR RESEARCH IT.pptx
KHALFAN PRESENTATION FOR RESEARCH IT.pptxKHALFAN PRESENTATION FOR RESEARCH IT.pptx
KHALFAN PRESENTATION FOR RESEARCH IT.pptxSwizzyKhalfa
 
Presentation_Multisectoral Partnerships and Innovations for Early Childhood D...
Presentation_Multisectoral Partnerships and Innovations for Early Childhood D...Presentation_Multisectoral Partnerships and Innovations for Early Childhood D...
Presentation_Multisectoral Partnerships and Innovations for Early Childhood D...CORE Group
 
POSHAN District Nutrition Profile_Mayurbhanj_Odisha
POSHAN District Nutrition Profile_Mayurbhanj_OdishaPOSHAN District Nutrition Profile_Mayurbhanj_Odisha
POSHAN District Nutrition Profile_Mayurbhanj_OdishaPOSHAN
 
Study to Assess the Effectiveness of Planned Teaching Programe on Knowledge R...
Study to Assess the Effectiveness of Planned Teaching Programe on Knowledge R...Study to Assess the Effectiveness of Planned Teaching Programe on Knowledge R...
Study to Assess the Effectiveness of Planned Teaching Programe on Knowledge R...ijtsrd
 
POSHAN District Nutrition Profile_Khordha_Odisha
POSHAN District Nutrition Profile_Khordha_OdishaPOSHAN District Nutrition Profile_Khordha_Odisha
POSHAN District Nutrition Profile_Khordha_OdishaPOSHAN
 
[[INOSR ES 11(2)134-147 Evaluation of the Infant Mortality rate at Ishaka Adv...
[[INOSR ES 11(2)134-147 Evaluation of the Infant Mortality rate at Ishaka Adv...[[INOSR ES 11(2)134-147 Evaluation of the Infant Mortality rate at Ishaka Adv...
[[INOSR ES 11(2)134-147 Evaluation of the Infant Mortality rate at Ishaka Adv...PUBLISHERJOURNAL
 
A Study on the Attitude of Tribal Woman towards Re Productive Health
A Study on the Attitude of Tribal Woman towards Re Productive HealthA Study on the Attitude of Tribal Woman towards Re Productive Health
A Study on the Attitude of Tribal Woman towards Re Productive Healthijtsrd
 
POSHAN District Nutrition Profile_Angul_Odisha
POSHAN District Nutrition Profile_Angul_OdishaPOSHAN District Nutrition Profile_Angul_Odisha
POSHAN District Nutrition Profile_Angul_OdishaPOSHAN
 

Similar to Child Health in Nepal: Root Cause Analysis (20)

Pugos Nutrition for Protection of Malnutrition among Children
Pugos Nutrition for Protection of Malnutrition among Children  Pugos Nutrition for Protection of Malnutrition among Children
Pugos Nutrition for Protection of Malnutrition among Children
 
Awareness of Mothers Regarding Child Abuse and Its Prevention in India
Awareness of Mothers Regarding Child Abuse and Its Prevention in IndiaAwareness of Mothers Regarding Child Abuse and Its Prevention in India
Awareness of Mothers Regarding Child Abuse and Its Prevention in India
 
Maternal Health in Nepal _Saroj Rimal.pptx
Maternal Health in Nepal _Saroj Rimal.pptxMaternal Health in Nepal _Saroj Rimal.pptx
Maternal Health in Nepal _Saroj Rimal.pptx
 
Epidemiological aspects of maternal and child healthnew 3
Epidemiological aspects of maternal and child healthnew 3Epidemiological aspects of maternal and child healthnew 3
Epidemiological aspects of maternal and child healthnew 3
 
A Review on Maternal Common Mental Disorders and Associated Factors: A Cross‐...
A Review on Maternal Common Mental Disorders and Associated Factors: A Cross‐...A Review on Maternal Common Mental Disorders and Associated Factors: A Cross‐...
A Review on Maternal Common Mental Disorders and Associated Factors: A Cross‐...
 
A STUDY OF EFFECT OF MATERNAL FACTORS INFLUENCING.pptx
A STUDY OF EFFECT OF MATERNAL FACTORS  INFLUENCING.pptxA STUDY OF EFFECT OF MATERNAL FACTORS  INFLUENCING.pptx
A STUDY OF EFFECT OF MATERNAL FACTORS INFLUENCING.pptx
 
The association of predisposing and enabling factors
The association of predisposing and enabling factorsThe association of predisposing and enabling factors
The association of predisposing and enabling factors
 
Maternal Mortality in Madhya Pradesh Complete.pptx
Maternal Mortality in Madhya Pradesh Complete.pptxMaternal Mortality in Madhya Pradesh Complete.pptx
Maternal Mortality in Madhya Pradesh Complete.pptx
 
POSHAN District Nutrition Profile_Balesore_Odisha
POSHAN District Nutrition Profile_Balesore_OdishaPOSHAN District Nutrition Profile_Balesore_Odisha
POSHAN District Nutrition Profile_Balesore_Odisha
 
POSHAN District Nutrition Profile_Kandhamal_Odisha
POSHAN District Nutrition Profile_Kandhamal_OdishaPOSHAN District Nutrition Profile_Kandhamal_Odisha
POSHAN District Nutrition Profile_Kandhamal_Odisha
 
KHALFAN PRESENTATION FOR RESEARCH IT.pptx
KHALFAN PRESENTATION FOR RESEARCH IT.pptxKHALFAN PRESENTATION FOR RESEARCH IT.pptx
KHALFAN PRESENTATION FOR RESEARCH IT.pptx
 
Presentation_Multisectoral Partnerships and Innovations for Early Childhood D...
Presentation_Multisectoral Partnerships and Innovations for Early Childhood D...Presentation_Multisectoral Partnerships and Innovations for Early Childhood D...
Presentation_Multisectoral Partnerships and Innovations for Early Childhood D...
 
POSHAN District Nutrition Profile_Mayurbhanj_Odisha
POSHAN District Nutrition Profile_Mayurbhanj_OdishaPOSHAN District Nutrition Profile_Mayurbhanj_Odisha
POSHAN District Nutrition Profile_Mayurbhanj_Odisha
 
The effectiveness of peer educators and guidance counselling teachers to the ...
The effectiveness of peer educators and guidance counselling teachers to the ...The effectiveness of peer educators and guidance counselling teachers to the ...
The effectiveness of peer educators and guidance counselling teachers to the ...
 
Study to Assess the Effectiveness of Planned Teaching Programe on Knowledge R...
Study to Assess the Effectiveness of Planned Teaching Programe on Knowledge R...Study to Assess the Effectiveness of Planned Teaching Programe on Knowledge R...
Study to Assess the Effectiveness of Planned Teaching Programe on Knowledge R...
 
POSHAN District Nutrition Profile_Khordha_Odisha
POSHAN District Nutrition Profile_Khordha_OdishaPOSHAN District Nutrition Profile_Khordha_Odisha
POSHAN District Nutrition Profile_Khordha_Odisha
 
Vad wb-f
Vad wb-fVad wb-f
Vad wb-f
 
[[INOSR ES 11(2)134-147 Evaluation of the Infant Mortality rate at Ishaka Adv...
[[INOSR ES 11(2)134-147 Evaluation of the Infant Mortality rate at Ishaka Adv...[[INOSR ES 11(2)134-147 Evaluation of the Infant Mortality rate at Ishaka Adv...
[[INOSR ES 11(2)134-147 Evaluation of the Infant Mortality rate at Ishaka Adv...
 
A Study on the Attitude of Tribal Woman towards Re Productive Health
A Study on the Attitude of Tribal Woman towards Re Productive HealthA Study on the Attitude of Tribal Woman towards Re Productive Health
A Study on the Attitude of Tribal Woman towards Re Productive Health
 
POSHAN District Nutrition Profile_Angul_Odisha
POSHAN District Nutrition Profile_Angul_OdishaPOSHAN District Nutrition Profile_Angul_Odisha
POSHAN District Nutrition Profile_Angul_Odisha
 

More from Kusumsheela Bhatta

Non-Communicable Diseases (NCDs) in Nepal: Bridging Evidence-Based Policies M...
Non-Communicable Diseases (NCDs) in Nepal: Bridging Evidence-Based Policies M...Non-Communicable Diseases (NCDs) in Nepal: Bridging Evidence-Based Policies M...
Non-Communicable Diseases (NCDs) in Nepal: Bridging Evidence-Based Policies M...Kusumsheela Bhatta
 
International Labor Organization
International Labor OrganizationInternational Labor Organization
International Labor OrganizationKusumsheela Bhatta
 
Sexual and Reproductive Health in Context of Nepal
Sexual and Reproductive Health in Context of NepalSexual and Reproductive Health in Context of Nepal
Sexual and Reproductive Health in Context of NepalKusumsheela Bhatta
 
Random Assignment :Treatment-Comparison design and its use with HISP data and...
Random Assignment :Treatment-Comparison design and its use with HISP data and...Random Assignment :Treatment-Comparison design and its use with HISP data and...
Random Assignment :Treatment-Comparison design and its use with HISP data and...Kusumsheela Bhatta
 
Safe Motherhood Program in Nepal: Challenges and Way Forward
Safe Motherhood Program in Nepal: Challenges and Way ForwardSafe Motherhood Program in Nepal: Challenges and Way Forward
Safe Motherhood Program in Nepal: Challenges and Way ForwardKusumsheela Bhatta
 
Yellow Fever- Epidemiology, Symptoms, Mode of Transmission, Prevention, Treat...
Yellow Fever- Epidemiology, Symptoms, Mode of Transmission, Prevention, Treat...Yellow Fever- Epidemiology, Symptoms, Mode of Transmission, Prevention, Treat...
Yellow Fever- Epidemiology, Symptoms, Mode of Transmission, Prevention, Treat...Kusumsheela Bhatta
 

More from Kusumsheela Bhatta (6)

Non-Communicable Diseases (NCDs) in Nepal: Bridging Evidence-Based Policies M...
Non-Communicable Diseases (NCDs) in Nepal: Bridging Evidence-Based Policies M...Non-Communicable Diseases (NCDs) in Nepal: Bridging Evidence-Based Policies M...
Non-Communicable Diseases (NCDs) in Nepal: Bridging Evidence-Based Policies M...
 
International Labor Organization
International Labor OrganizationInternational Labor Organization
International Labor Organization
 
Sexual and Reproductive Health in Context of Nepal
Sexual and Reproductive Health in Context of NepalSexual and Reproductive Health in Context of Nepal
Sexual and Reproductive Health in Context of Nepal
 
Random Assignment :Treatment-Comparison design and its use with HISP data and...
Random Assignment :Treatment-Comparison design and its use with HISP data and...Random Assignment :Treatment-Comparison design and its use with HISP data and...
Random Assignment :Treatment-Comparison design and its use with HISP data and...
 
Safe Motherhood Program in Nepal: Challenges and Way Forward
Safe Motherhood Program in Nepal: Challenges and Way ForwardSafe Motherhood Program in Nepal: Challenges and Way Forward
Safe Motherhood Program in Nepal: Challenges and Way Forward
 
Yellow Fever- Epidemiology, Symptoms, Mode of Transmission, Prevention, Treat...
Yellow Fever- Epidemiology, Symptoms, Mode of Transmission, Prevention, Treat...Yellow Fever- Epidemiology, Symptoms, Mode of Transmission, Prevention, Treat...
Yellow Fever- Epidemiology, Symptoms, Mode of Transmission, Prevention, Treat...
 

Recently uploaded

Call Girls Coimbatore Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Coimbatore Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Coimbatore Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Coimbatore Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
(Low Rate RASHMI ) Rate Of Call Girls Jaipur ❣ 8445551418 ❣ Elite Models & Ce...
(Low Rate RASHMI ) Rate Of Call Girls Jaipur ❣ 8445551418 ❣ Elite Models & Ce...(Low Rate RASHMI ) Rate Of Call Girls Jaipur ❣ 8445551418 ❣ Elite Models & Ce...
(Low Rate RASHMI ) Rate Of Call Girls Jaipur ❣ 8445551418 ❣ Elite Models & Ce...parulsinha
 
Call Girls Nagpur Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Nagpur Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Nagpur Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Nagpur Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort ServicePremium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Servicevidya singh
 
Call Girls Tirupati Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Tirupati Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Tirupati Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Tirupati Just Call 8250077686 Top Class Call Girl Service AvailableDipal Arora
 
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...jageshsingh5554
 
Call Girls Bangalore Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Bangalore Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Bangalore Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Bangalore Just Call 8250077686 Top Class Call Girl Service AvailableDipal Arora
 
Night 7k to 12k Chennai City Center Call Girls 👉👉 7427069034⭐⭐ 100% Genuine E...
Night 7k to 12k Chennai City Center Call Girls 👉👉 7427069034⭐⭐ 100% Genuine E...Night 7k to 12k Chennai City Center Call Girls 👉👉 7427069034⭐⭐ 100% Genuine E...
Night 7k to 12k Chennai City Center Call Girls 👉👉 7427069034⭐⭐ 100% Genuine E...hotbabesbook
 
Best Rate (Patna ) Call Girls Patna ⟟ 8617370543 ⟟ High Class Call Girl In 5 ...
Best Rate (Patna ) Call Girls Patna ⟟ 8617370543 ⟟ High Class Call Girl In 5 ...Best Rate (Patna ) Call Girls Patna ⟟ 8617370543 ⟟ High Class Call Girl In 5 ...
Best Rate (Patna ) Call Girls Patna ⟟ 8617370543 ⟟ High Class Call Girl In 5 ...Dipal Arora
 
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...indiancallgirl4rent
 
Lucknow Call girls - 8800925952 - 24x7 service with hotel room
Lucknow Call girls - 8800925952 - 24x7 service with hotel roomLucknow Call girls - 8800925952 - 24x7 service with hotel room
Lucknow Call girls - 8800925952 - 24x7 service with hotel roomdiscovermytutordmt
 
Call Girls Faridabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Faridabad Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Faridabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Faridabad Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Call Girls Haridwar Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Haridwar Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Haridwar Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Haridwar Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Cuttack Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...aartirawatdelhi
 
Call Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore EscortsCall Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escortsvidya singh
 
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...chandars293
 
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋TANUJA PANDEY
 
Call Girls Gwalior Just Call 8617370543 Top Class Call Girl Service Available
Call Girls Gwalior Just Call 8617370543 Top Class Call Girl Service AvailableCall Girls Gwalior Just Call 8617370543 Top Class Call Girl Service Available
Call Girls Gwalior Just Call 8617370543 Top Class Call Girl Service AvailableDipal Arora
 

Recently uploaded (20)

Call Girls Coimbatore Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Coimbatore Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Coimbatore Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Coimbatore Just Call 9907093804 Top Class Call Girl Service Available
 
(Low Rate RASHMI ) Rate Of Call Girls Jaipur ❣ 8445551418 ❣ Elite Models & Ce...
(Low Rate RASHMI ) Rate Of Call Girls Jaipur ❣ 8445551418 ❣ Elite Models & Ce...(Low Rate RASHMI ) Rate Of Call Girls Jaipur ❣ 8445551418 ❣ Elite Models & Ce...
(Low Rate RASHMI ) Rate Of Call Girls Jaipur ❣ 8445551418 ❣ Elite Models & Ce...
 
Call Girls Nagpur Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Nagpur Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Nagpur Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Nagpur Just Call 9907093804 Top Class Call Girl Service Available
 
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort ServicePremium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
 
Call Girls Tirupati Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Tirupati Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Tirupati Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Tirupati Just Call 8250077686 Top Class Call Girl Service Available
 
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
 
Call Girls Bangalore Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Bangalore Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Bangalore Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Bangalore Just Call 8250077686 Top Class Call Girl Service Available
 
Night 7k to 12k Chennai City Center Call Girls 👉👉 7427069034⭐⭐ 100% Genuine E...
Night 7k to 12k Chennai City Center Call Girls 👉👉 7427069034⭐⭐ 100% Genuine E...Night 7k to 12k Chennai City Center Call Girls 👉👉 7427069034⭐⭐ 100% Genuine E...
Night 7k to 12k Chennai City Center Call Girls 👉👉 7427069034⭐⭐ 100% Genuine E...
 
Best Rate (Patna ) Call Girls Patna ⟟ 8617370543 ⟟ High Class Call Girl In 5 ...
Best Rate (Patna ) Call Girls Patna ⟟ 8617370543 ⟟ High Class Call Girl In 5 ...Best Rate (Patna ) Call Girls Patna ⟟ 8617370543 ⟟ High Class Call Girl In 5 ...
Best Rate (Patna ) Call Girls Patna ⟟ 8617370543 ⟟ High Class Call Girl In 5 ...
 
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
(Rocky) Jaipur Call Girl - 09521753030 Escorts Service 50% Off with Cash ON D...
 
Lucknow Call girls - 8800925952 - 24x7 service with hotel room
Lucknow Call girls - 8800925952 - 24x7 service with hotel roomLucknow Call girls - 8800925952 - 24x7 service with hotel room
Lucknow Call girls - 8800925952 - 24x7 service with hotel room
 
Call Girls Faridabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Faridabad Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Faridabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Faridabad Just Call 9907093804 Top Class Call Girl Service Available
 
Call Girls Haridwar Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Haridwar Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Haridwar Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Haridwar Just Call 9907093804 Top Class Call Girl Service Available
 
Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Cuttack Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service Available
 
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
 
Call Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ludhiana Just Call 9907093804 Top Class Call Girl Service Available
 
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore EscortsCall Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
 
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
 
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
 
Call Girls Gwalior Just Call 8617370543 Top Class Call Girl Service Available
Call Girls Gwalior Just Call 8617370543 Top Class Call Girl Service AvailableCall Girls Gwalior Just Call 8617370543 Top Class Call Girl Service Available
Call Girls Gwalior Just Call 8617370543 Top Class Call Girl Service Available
 

Child Health in Nepal: Root Cause Analysis

  • 1. Presenters: Kusumsheela Bhatta (403) Madhurjee Dhakal (404) Shrijana Shrestha (410) MPH, PAHS Group 2 2nd Sep 2022 Child Health in Nepal: Root Cause Analysis Photo Courtesy: NENAP 2016
  • 2. Outline of the presentation • Introduction to RCA • RCA Methodology • Conceptual Framework • Immediate Cause • Underlying Cause • Root Cause • Conclusion • References 9/02/2022 2 Group 2: Root Cause Analysis
  • 3. Photo Courtesy: edgeofseven Introduction to RCA 01 Photo Courtsey: Jacob Kassel/USAID Health for All Project
  • 4. What is root cause analysis? • RCA is a structured investigation that aims to identify the true cause of a problem and the actions necessary to eliminate it with a permanent fix rather than continuing to deal with the symptoms on an ongoing basis 9/02/2022 4 Group 2: Root Cause Analysis What happened ? Why it happened ? How to eliminate?
  • 5. General Steps of RCA 9/02/2022 5 Group 2: Root Cause Analysis A group of problem solving approaches to identify the true causes of problems or events
  • 6. Root Cause Analysis Diagram 9/02/2022 6 Group 2: Root Cause Analysis Figure: Root Cause Analysis Diagram
  • 7. 9/02/2022 Group 2: Root Cause Analysis 7 RCA Methodology 02
  • 8. How we did RCA! 9/02/2022 8 Group 2: Root Cause Analysis Situation Analysis/ Identification of Problem Literature Review and Identification of causal factors Brain storming and Development of conceptual framework Determination of root causes 01 02 03 04
  • 9. How we did RCA! 9/02/2022 9 Group 2: Root Cause Analysis 01 Situation Analysis/ Identification of Problem Source: NDHS 2016 SDG targets related to neonatal and under-5 mortality in Nepal are 12 and 20 deaths per 1,000 live births, respectively, by 2030
  • 10. How we did RCA! 9/02/2022 10 02 Literature Review and Identification of Causal Factors Source: DHS Report no.120
  • 11. How we did RCA! 9/02/2022 11 02 Literature Review and Identification of Causal Factors Lamichhane R, Zhao Y, Paudel S, Adewuyi EO. Factors associated with infant mortality in Nepal: a comparative analysis of Nepal demographic and health surveys (NDHS) 2006 and 2011. BMC public health. 2017 Dec;17(1):1-8.
  • 12. How we did RCA! 9/02/2022 12 02 Literature Review and Identification of Causal Factors Al Kibria GM, Khanam R, Mitra DK, Mahmud A, Begum N, Moin SM, Saha SK, Baqui A, Projahnmo Study Group in Bangladesh. Rates and determinants of neonatal mortality in two rural sub-districts of Sylhet, Bangladesh. PloS one. 2018 Nov
  • 13. How we did RCA! 9/02/2022 13 02 Literature Review and Identification of Causal Factors Source: UNICEF
  • 14. Iceberg of child illness and mortality 9/02/2022 14 Group 2: Root Cause Analysis  Disease/Infection  Mortality  Complication during pregnancy/delivery Poor hygiene practices Maternal education Maternal age at marriage Decision making capacity Place of delivery Health seeking behavior Birth interval Access to health services Cultural factors Weight of child Political factors Place of residence Inadequate food access Sedentary lifestyle Ignorance
  • 17. Disease/Infections/Birth Complications 9/02/2022 17 Group 2: Root Cause Analysis Source: WHO Fact Sheet Immediate cause Infectious diseases, including • Pneumonia • Diarrhoea • Malaria, along with • Pre-term birth complications • Birth asphyxia • Trauma • Congenital anomalies. Globally Leading causes of death for children under 5 years
  • 18. Disease/Infections/Birth Complications 9/02/2022 18 Group 2: Root Cause Analysis Source: Lancet Child Adolescent Health 2022 Immediate cause
  • 19. Disease/Infections/Birth Complications 9/02/2022 19 Group 2: Root Cause Analysis Source: Lancet Child Adolescent Health 2022 Immediate cause Global Causes of under-5 deaths in 2019
  • 20. Disease/Infections/Birth Complications 9/02/2022 20 Group 2: Root Cause Analysis Source: NDHS 2016 Immediate cause
  • 21. Malnutrition 9/02/2022 21 Group 2: Root Cause Analysis • Nearly half of all deaths in children under 5 are attributable to undernutrition • Undernutrition puts children at greater risk of dying from common infections, increases the frequency and severity of such infections, and delays recovery. Source: UNICEF The results from 53 developing countries with nationally representative data on child weight-for-age indicate • 56% of child deaths were attributable to malnutrition's potentiating effects • 83% of these were attributable to mild-to-moderate as opposed to severe malnutrition Immediate cause Pelletier DL, Frongillo EA Jr, Schroeder DG, Habicht JP. The effects of malnutrition on child mortality in developing countries. Bull World Health Organ. 1995;73(4):443-8
  • 22. Malnutrition 9/02/2022 22 Group 2: Root Cause Analysis Undernutrition contributes to 25,000child deaths in Nepal per year, accounting for 52 per cent of child deaths, higher than any other cause. 52% Immediate cause Source: UNICEF, 2019
  • 24. 9/02/2022 Group 2: Root Cause Analysis 24 Underlying Causes 05
  • 25. • Maternal age at childbirth 9/02/2022 Group 2: Root Cause Analysis 25 Maternal factor Report/Article Findings NDHS 2016 Mortality rates are lower for children whose mothers were age 20-29 when they were born than for children born to women below age 20 or age 30-39. For instance, the neonatal mortality rate is 21 deaths per 1,000 live births for children whose mothers were age 20-29 when they were born, as compared with 39 and 31 deaths per 1,000 live births, respectively, for children whose mothers were less than age 20 and age 30-39. Maternal and newborn health disparities, UNICEF The NMR for younger mothers is 1.4 times higher than for mothers aged 20-34. Underlying cause
  • 26. • Maternal age at childbirth 9/02/2022 Group 2: Root Cause Analysis 26 Maternal factor Continued. Report/Article Findings Childhood Illness and Mortality in Nepal: Trends and Determinants, DHS further Analysis Report 2019 Women age 15-24 (aOR: 1.5, 95% CI: 1.0-2.2, p < 0.05) were more likely to seek treatment or advice from health facilities or providers compared to women age 25- 34 Association between maternal age at childbirth and child and adult outcomes in the offspring: a prospective study in five low- income and middle-income countries (COHORTS collaboration) Younger maternal age remained for low birthweight (odds ratio [OR] 1·18 (95% CI 1·02–1·36)], preterm birth (1·26 [1·03–1·53]), 2-year stunting (1·46 [1·25–1·70]), and failure to complete secondary schooling (1·38 [1·18–1·62]) compared with mothers aged 20–24 years. Older maternal age remained associated with increased risk of preterm birth (OR 1·33 [95% CI 1·05–1·67]) Underlying cause
  • 27. • Maternal age at marriage 9/02/2022 Group 2: Root Cause Analysis 27 Maternal factor Continued. Article Methodology Findings Associations of maternal age at marriage and pregnancy with infant undernutrition: Evidence from first- time mothers in rural lowland Nepal Analyzed data on first-time mothers (n = 3002) from a cluster-randomized trial (2012–2015) Risk of stunting was higher in those marrying at 15 years (adjusted OR 1.63, 95% CI 0.94, 2.85), 14 years (adjusted OR 1.61, 95% CI 0.91, 2.85) and 10–13 years (adjusted OR 1.74, 95% CI 0.84, 3.60). Girl-Child Marriage and Its Association with Morbidity and Mortality of Children under 5 Years of Age in a Nationally-Representative Sample of Pakistan Nationally-representative cross-sectional observational survey data from Pakistan Demographic and Health Survey, 2006-2007 Marriage before age 18 years increased the likelihood of recent diarrhea among children born to young mothers (adjusted OR = 1.59; 95% CI: 1.18-2.14). Underlying cause
  • 28. • Maternal age at marriage 9/02/2022 Group 2: Root Cause Analysis 28 Maternal factor Continued. Report/Article Method Findings Early marriage, poor reproductive health status of mother and child well-being in India Data from the third wave of National Family Health Survey (NFHS, 2005–2006) was used Early age at marriage had detrimental effects on the reproductive health status of women. Children born to mothers with poor reproductive health had lower chances of survival and a higher likelihood of anthropometric failure (i.e. stunting, wasting and underweight). Underlying cause
  • 29. • Maternal BMI 9/02/2022 Group 2: Root Cause Analysis 29 Maternal factor Continued. Report/Article Method Findings The association between maternal body mass index and child obesity: A systematic review and meta-analysis Searches in MEDLINE, Child Development & Adolescent Studies, CINAHL, Embase, and PsycInfo were carried out in August 2017 and updated in March 2019. There were significantly increased odds of child obesity with maternal obesity (odds ratio [OR] 3.64, 95% CI 2.68–4.95) and maternal overweight (OR 1.89, 95% CI 1.62–2.19). Underlying cause
  • 30. • Maternal BMI 9/02/2022 Group 2: Root Cause Analysis 30 Maternal factor Continued. Report/Article Method Findings The Impact of Maternal Obesity on Maternal and Fetal Health National data on obesity and overweight in the United States , National Health and Nutrition Examination Survey (NHANES) Obesity data of Pregnancy Risk Assessment Monitoring System (PRAMS) The fetus is at risk for stillbirth and congenital anomalies. Children have a risk of future obesity and heart disease. Women and their offspring are at increased risk for diabetes. Underlying cause
  • 31. • Decision making capacity 9/02/2022 Group 2: Root Cause Analysis 31 Maternal factor Report/Article Findings Childhood Illness and Mortality in Nepal: Trends and Determinants, DHS further Analysis Report 2019 Under-5 children of women with weak decision-making capacity were more likely to die before completing their fifth birthday (aOR: 1.9, 95% CI: 1.1-3.5, p < 0.05) compared to children of women with strong decision-making capacity. Underlying cause
  • 32. • Exposure to public media program 9/02/2022 Group 2: Root Cause Analysis 32 Maternal factor Report Findings Maternal and Newborn Health Disparities, UNICEF Neonatal mortality is lower among births to those exposed to public health media (27 deaths per 1,000 live births in 2011 and 29 in 2006) than among those not exposed to public health media (37 deaths per 1,000 live births in 2011 and 35 in 2006). Underlying cause
  • 33. • Multiple pregnancies 9/02/2022 Group 2: Root Cause Analysis 33 Maternal factor Article Method Findings General obstetrics: Preterm birth and multiple pregnancy in European countries participating in the PERISTAT project Analyses of data from vital statistics, birth registers or national samples of births. The proportion of multiple births before 37 weeks varied from 68.4% in Austria to 42.2% in the Republic of Ireland. In half of the countries, over 20% of all preterm births were attributable to multiple births. Trends in preterm birth: singleton and multiple pregnancies in the Netherlands, 2000–2007 Nationwide prospective cohort study. studied 1451246 pregnant women from 2000 to 2007. In multiple pregnancies, the preterm birth risk increased significantly (47.3–47.7%, P =0.047), mainly as a result of medically indicated preterm birth, which increased from 15.0% to 17.9% (P<0.0001). Underlying cause
  • 34. • Inadequate dietary intake 9/02/2022 Group 2: Root Cause Analysis 34 Maternal factor Article Method Findings The differential effect of maternal dietary patterns on quantiles of Birthweight Data for the study were obtained from a Mother and Child in the Environment birth cohort study in Durban South Africa. Quantile regression was used to investigate the effect of maternal dietary patterns on quantiles of birthweight. Both maternal undernutrition and overnutrition of protein rich foods, junk foods, snack and energy foods and vegetable rich foods have shown a substantial varying effects on those infants with birthweights in the lower and upper birthweight quantiles. Underlying cause
  • 35. • Inadequate dietary intake 9/02/2022 Group 2: Root Cause Analysis 35 Maternal factor Article Method Findings Associations between Maternal Dietary Patterns and Infant Birth Weight in the NISAMI Cohort: A Structural Equation Modeling Analysis Prospective cohort study was performed with pregnant women registered with the prenatal service (Bahia, Brazil) Adherence to the “Meat, Eggs, Fried Snacks and Processed foods” dietary pattern (pattern 1) and the “Sugars and Sweets” dietary pattern (pattern 4) in the third trimester directly reduced birth weight, by 98.42 g (Confidence interval (CI) 95%: 24.26, 172.59) and 92.03 g (CI 95%: 39.88, 165.30), respectively. Insufficient dietary consumption in the third trimester increases maternal complications during pregnancy, indirectly reducing birth weight by 145 g (CI 95%: −21.39, −211.45) Underlying cause
  • 36. • Antenatal care visit 9/02/2022 Group 2: Root Cause Analysis 36 Maternal factor Document Findings Trends and determinants of Neonatal Mortality NDHS further Analysis In the 2011 survey, among most recent births the NMR was: 13 deaths per 1,000 live births among those whose mothers had made at least 4 ANC visits 24 deaths per 1,000 live births among those whose mothers had fewer than 4 ANC visits Underlying cause
  • 37. • Antenatal care visit 9/02/2022 Group 2: Root Cause Analysis 37 Maternal factor Article Method Findings Antenatal care services and its implications for vital and health outcomes of children: evidence from 193 surveys in 69 low-income and middle- income countries used nationally representative health and welfare data from 193 Demographic and Health Surveys conducted between 1990 and 2013 from 69 low- income and middle-income countries At least one ANC visit was associated with a 1.04% points reduced probability of neonatal mortality and a 1.07% points lower probability of infant mortality. Having at least four ANC visits and having at least once seen a skilled provider reduced the probability by an additional 0.56% and 0.42% points, respectively. At least one ANC visit is associated with a 3.82% points reduced probability of giving birth to a low birth weight baby and a 4.11 and 3.26% points reduced stunting and underweight probability. Underlying cause
  • 38. • Antenatal care visit 9/02/2022 Group 2: Root Cause Analysis 38 Maternal factor Article Method Findings Impact of Antenatal Care on Maternal and Perinatal utcome: A Study at Nepal Medical College Teaching Hospital Prospective descriptive study of women delivered at Nepal Medical College Teaching Hospital (NMCTH) The proportion of low birth weight and preterm babies was higher in women with inadequate or no ANC. Perinatal mortality rate in no ANC and inadequate ANC groups was 16 times higher than that in the group with more than 4 visits Underlying cause
  • 39. Delivery factor • Delivery assistance 9/02/2022 39 Group 2: Root Cause Analysis Article/ Report Findings WHO. Trends in maternal mortality: 2000 to 2017: estimates by WHO, UNICEF, UNFPA, World Bank Group and the United Nations population division.. 66% of maternal deaths and 43% of neonatal deaths can be prevented in births that occur with assistance of SBA Underlying cause
  • 40. Delivery factor • Place of delivery 9/02/2022 40 Group 2: Root Cause Analysis Article/ Report Method Findings Infant death rates and animal- shed delivery in remote rural areas of Nepal Retrospective study in Jumla Children born in an animal shed were at significantly higher risk of dying than were those born in the home even after adjusting for socio- economic status and biological variables. The association was stronger in the neonatal period (OR=2.8, 95% CI 1.9–4.1) than during the post- neonatal period (OR=1.3, 95% CI 1.02–1.6). Underlying cause
  • 41. Delivery factor • Place of delivery 9/02/2022 41 Group 2: Root Cause Analysis Article/ Report Method Findings Is newborn survival influenced by place of delivery? A comparison of home, public sector and private sector deliveries in India Data of NFHS-4(national-level household survey) , 2015–16 It was found that the adjusted odds of death in the early neonatal period were lower for deliveries in public health facilities than for home deliveries (OR 0.833 p<0.01) Underlying cause
  • 42. Delivery factor • Mode of delivery 9/02/2022 42 Group 2: Root Cause Analysis Article/ Report Method Findings Neonatal morbidity and mortality by mode of delivery in very preterm neonates Retrospective cohort study of all singleton pregnancies, delivered from 22 to 29 weeks' gestation between 2010 and 2015 Cesarean delivery performed for standard obstetrical indications in cases of very preterm neonates is associated with a decreased risk for death in the delivery room or within 24 hours of delivery but is not associated with an improvement in the overall morbidity or mortality. Underlying cause
  • 43. Delivery factor • Mode of delivery 9/02/2022 43 Group 2: Root Cause Analysis Article/ Report Method Findings Neonatal respiratory morbidity and mode of delivery at term: influence of timing of elective caesarean section Rosie Maternity Hospital, Cambridge All cases of respiratory distress syndrome or transient tachypnoea at term requiring admission to the neonatal intensive care unit were recorded prospectively for nine years. The incidence of respiratory morbidity was significantly higher for the group delivered by caesarean section before the onset of labour (35.5/1000) compared with caesarean section during labour (12.2/1000) (odds ratio, 2.9; 95% CI 1.9–4.4; P < 0.001), and compared with vaginal delivery (5.3/1000) (odds ratio, 6.; 95% CI 5.-8.9; P < 0.001). Underlying cause
  • 44. Child related factor • Age of child 9/02/2022 44 Group 2: Root Cause Analysis Article/ Report Findings Childhood Illness and Mortality in Nepal: Trends and Determinants, DHS further Analysis Report 2019 Children above age 2 were less likely to have diarrhea, ARI and fever compared to a child age 2 and below. Underlying cause
  • 45. Child related factor • Sex of child 9/02/2022 45 Group 2: Root Cause Analysis Article/ Report Finding Childhood Illness and Mortality in Nepal: Trends and Determinants, DHS further Analysis Report 2019 Female children (aOR: 0.7, 95% CI: 0.6-0.8, p < 0.01) were less likely to have fever compared to the male children Underlying cause
  • 46. Child related factor • Birth order 9/02/2022 46 Group 2: Root Cause Analysis Article/Report Method Findings Childhood Illness and Mortality in Nepal: Trends and Determinants, DHS further Analysis Report 2019 Used data from NDHS 2006 and NDHS 2016 The prevalence of diarrhea was higher among children with higher birth order. Association between order of birth and chronic malnutrition of children: a study of nationally representative Bangladeshi sample Used data from the Bangladesh Demographic Health Survey, 2011 (BDHS) Order of birth is one of the significant predictors of child being stunted. Third order, fourth order, and fifth or higher order children are 24%, 30%, and 72%, respectively, more likely to be stunted after adjusting for all other variables. Underlying cause
  • 47. Child related factor • Birth Interval 9/02/2022 47 Group 2: Root Cause Analysis Mortality rates are higher among children born less than 2 years after a previous birth than among children born 2 or more years after a previous birth Source: NDHS 2016 Underlying cause
  • 48. Child related factor • Baby’s weight at birth 9/02/2022 48 Group 2: Root Cause Analysis • Neonates weighing less than normal weight (2,500 gram to 3,499 gram) at birth were more likely to die in the neonatal period compared to neonates with normal birth weight. Underlying cause
  • 49. Child related factor • Dietary intake 9/02/2022 49 Group 2: Root Cause Analysis Article Method Findings Effects of dietary and health factors on nutritional status of children in pastoral settings in Borana, southern Ethiopia, August–October 2015 Community based cross-sectional study, using multistage cluster sampling Children who consumed more diverse foods were at a lower risk of being underweight (PR = 0.72, 95 % CL: 0.59–0.88), stunted (PR = 0.80, 95 % CL: 0.68–0.93) and wasted (PR = 0.42, 95 % CL: 0.27–0.66). Intake of increased milk frequency was also associated with lower risk of underweight (PR = 0.86, 95 %CL: 0.76–0.97), stunting (PR = 0.83, 95 %CL: 0.75–0.91) and wasting (PR = 0.73, 95 %CL: 0.56–0.96). Underlying cause
  • 50. Child related factor • Dietary intake 9/02/2022 50 Group 2: Root Cause Analysis Article Method Findings The relationship between dietary intake and stunting among pre- school children in Upper Egypt Community-based cross-sectional study Included 497 pre-school children aged 2-5 years in rural Upper Egypt. Children who were stunted significantly consumed poultry, eggs and fruits less often than non- stunted children Dietary diversity, dietary patterns and dietary intake are associated with stunted children in Jeneponto District, Indonesia Follow up study, namely nutrition intervention in pregnant and lactating women using the RCT-DB design. The results showed that a lack of energy intake associated with children stunted was 132 (44.9%) (p = 0.050), and lacked fat intake was 125 (45.6%) (p < 0.050). For the dietary diversity there is a relationship with stunted at a mean value of 7.51 ± 0.87 (p < 0.050). Underlying cause
  • 51. Child related factor • Breastfeeding • Infants aged 0–5 months who are not breastfed have; • seven-fold times increased risks of death from diarrhoea compared with infants who are exclusively breastfed • five-fold times increased risks of death from pneumonia compared with infants who are exclusively breastfed • At the same age, non-exclusive rather than exclusive breastfeeding results in more than two-fold increased risks of dying from diarrhoea or pneumonia • 6 to 11 month old infants who are not breastfed also have an increased risk of such deaths. 9/02/2022 51 Group 2: Root Cause Analysis Source: Where and why are 10 million children dying every year? | Child Survival I | The Lancet Underlying cause
  • 52. Child related factor • Immunization 9/02/2022 52 Group 2: Root Cause Analysis Article Method Findings Immunization Coverage and Infant Mortality Rate in Developing Countries For immunization coverage, that of DPT (diphtheria, tetanus, pertussis) and that of poliomyelitis were used since they were most often available. Immunization coverage is one of the main predictors of the infant mortality rate. Underlying cause
  • 53. Child related factor • Sedentary lifestyle 9/02/2022 53 Group 2: Root Cause Analysis Article Method Findings Food habits, physical activities and sedentary lifestyles of eutrophic and obese school children: a case–control study Of 1,441 children (6–12 years old) screened in elementary schools, 202 obese (BMI ≥95th pc) and 200 normal-weight children (BMI 25th- 75th pc), as defined by the 2000 CDC criteria, were included in a case–control study. The children who performed ≥1 h/wk of exercise at school demonstrated an inverse association for the risk of obesity compared with those who performed <1 h/wk (OR: 0.33; 95% CI: 0.15:0.72) Underlying cause
  • 54. • Postnatal check-up 9/02/2022 Group 2: Root Cause Analysis 54 Post-delivery factors Article/Report Evidence Trends and determinants of Neonatal Mortality NDHS further Analysis Neonatal mortality among babies born to a mother who had a postnatal visit within three days of birth was 17 deaths per 1,000 live births, compared with a rate of 19 among those who had not had a postnatal visit. Underlying cause
  • 55. • Immediate newborn care 9/02/2022 Group 2: Root Cause Analysis 55 Post-delivery factors Reports/Article Evidences Childhood Illness and Mortality in Nepal: Trends and Determinants, DHS further Analysis Report 2019 Those who did not receive immediate newborn care were nearly twice as likely to die before reaching their fifth birthday. Trends and determinants of Neonatal Mortality NDHS further Analysis In the 2011 survey, NMR was: • 12 deaths per 1,000 live births among babies who received good immediate newborn care • 18 deaths per 1,000 live births among babies who did not receive good immediate care. • Cord care practices also affect neonatal mortality rates. Underlying cause
  • 57. 9/02/2022 Group 2: Root Cause Analysis 57 Root Causes 05
  • 58. Biomass use • The exposure of children to air pollution in low resource setting is believed to be high because of the common use of biomass fuels for cooking. • Globally solid fuel use is estimated to cause 3.5 million premature deaths per year around 1 million of which are attributed to acute respiratory infections in young children.1 • The burning of biomass in Nepal has been shown to exacerbate respiratory disease in children. 9/02/2022 58 Group 2: Root Cause Analysis 1. Devakumar D, Semple S, Osrin D, Yadav SK, Kurmi OP, Saville NM, Shrestha B, Manandhar DS, Costello A, Ayres JG. Biomass fuel use and the exposure of children to particulate air pollution in southern Nepal. Environment international. 2014 May 1;66:79-87. Root cause
  • 59. Biomass use • In Nepal about 2/3rd of households rely on biofuels mainly wood, in their daily cooking practice.2 • About 40% of children under age 5 are stunted, 11% are wasted and 29% are underweight.2 • In a study which analyzed the secondary data from 2011 NDHS showed positive association between the biofuel smoke(high pollution fuel exposure) and stunting among children under 5.2 • The estimated stunting prevalence among children with exposure to biofuel smoke was about twice as high as the children without exposure. 9/02/2022 59 Group 2: Root Cause Analysis 2. Dadras O, Chapman RS. Biomass fuel smoke and stunting in early childhood: finding from a national survey Nepal. Journal of Health Research. 2017 Nov 28;31(Suppl. 1):s7-15 Root cause
  • 60. Poor hygiene practices • Poor hygiene practices contributes to the burden of disease from diarrhea. • High rates of diarrheal disease in childhood predispose to malnutrition among young children. • Diarrhea risk increases during the infant weaning period in low income settings and child growth often falters after the initiation of weaning. • Poor hygiene practices include long gaps between meal preparation and feeding, use of unclean utensils, washing of utensils in contaminated water, allowing flies to access foods, not washing hands before food handling and feeding and use of dirty clothes for wiping hands/utensils.3 9/02/2022 60 Group 2: Root Cause Analysis 3. Gautam OP, Schmidt WP, Cairncross S, Cavill S, Curtis V. Trial of a Novel Intervention to Improve Multiple Food Hygiene Behaviors in Nepal. The American journal of tropical medicine and hygiene. 2017 Jun 7;96(6):1415-26. Root cause
  • 61. Poor hygiene practices • Children in low-income countries face a range of interrelated problems such as inadequate water, sanitation and hygiene(WASH), consequent infections and growth and development impairments.4 • In a study in eastern region of Nepal it showed that 31.5% of children were found to be infected with intestinal parasites and parasitic infections were significantly associated with not using soap after defecation, the habit of thumb sucking, and not wearing sandals. 5 • Access to a safe , reliable and continuous supply of water, cultural practices of painting mud floors in home with animal dung etc are some reasons which is responsible for poor hygiene practices. 9/02/2022 61 Group 2: Root Cause Analysis 4. Shrestha A, Six J, Dahal D, Marks S, Meierhofer R. Association of nutrition, water, sanitation and hygiene practices with children’s nutritional status, intestinal parasitic infections and diarrhoea in rural Nepal: a cross-sectional study. BMC public health. 2020 Dec;20(1):1-21. 5. Sah RB, Bhattarai S, Yadav S, Baral R, Jha N, Pokharel PK. A study of prevalence of intestinal parasites and associated risk factors among the school children of Itahari, Eastern Region of Nepal. Tropical parasitology. 2013 Jul;3(2):140. Root cause
  • 62. Unsafe drinking water and food • Intestinal parasitic infections are most common in school going children and they tend to occur in high intensity in 3-12 year age group. • Protozoa and Helminthes spread faeco-orally through contaminated sources. • High prevalence of intestinal parasitic infection often occurs in low socio- economic condition, characterized by inadequate water supply and poor sanitary disposal of faeces.6 • In a study done in saktikhor , Chitwan showed parasitic infection rate in well water higher(16/55) than that of tap water(53/253).7 9/02/2022 62 Group 2: Root Cause Analysis 6. Al-Agha R, Teodorescu I. Intestinal parasites infestation and anemia in primary school children in Gaza Governorates--Palestine. Roumanian archives of microbiology and immunology. 2000 Jan 1;59(1-2):131-43. 7. Bhattachan B, Panta YB, Tiwari S, Sherchand JB, Rai SK. Intestinal parasitic infection among school children in Chitwan District Of Nepal. Journal of Institute of Medicine. 2015 Nov 6;38(2). Root cause
  • 63. Unsafe drinking water and food • In one of the community-based survey of kaski district which included 524 mother of 3-5 years old children who are no longer breastfed showed that 34% did not choose healthy food from stores and 12 % lacked food. • Study suggested that important factors of knowledge, attitudes and beliefs about healthy diet are poverty, education, strong cultural beliefs, family size, household income and growing preference for fast food. • It also showed that almost 19% mothers of the community believed that feeding of green leafy vegetables and fruits during the illness period caused harm to child and 10% mothers have no knowledge about it. 9/02/2022 63 Group 2: Root Cause Analysis 8. Acharya J, van Teijlingen E, Murphy J, Hind M. Study on nutritional problems in preschool aged children of Kaski district of Nepal. Journal of Multidisciplinary Research in Healthcare. 2015 Apr 23;1(2):97-118. Root cause
  • 64. Socioeconomic characteristics • The rate of full vaccination coverage shows a clear increment with increasing maternal education in all NDHS years, being 57% in infants of mothers with no education to 90.9% among those with higher education in 2001 and from 67.8% to 91.2% in 2016.9 • Infants born to mothers with primary or higher education had higher chances of being fully immunized compared to infants born to mothers with no education. • Similarly, infants born in households with higher wealth quintiles had higher chances of being fully immunized compared to infants born in the poorest wealth quintile. 9/02/2022 64 Group 2: Root Cause Analysis 9. Acharya K, Paudel YR, Dharel D. The trend of full vaccination coverage in infants and inequalities by wealth quintile and maternal education: analysis from four recent demographic and health surveys in Nepal. BMC public health. 2019 Dec;19(1):1-1 Root cause
  • 65. Socioeconomic characteristics • In one of the study which has analyzed DHS data from 42 developing countries shown the association between socioeconomic characteristic and child health.10 • Household wealth offers leverage for improving child health within countries in much the same way that economic development level can improve child health nationally. • It provides an opportunity to improve the material circumstances of the family and to purchase goods and services that are health enhancing 9/02/2022 65 Group 2: Root Cause Analysis 10. Boyle MH, Racine Y, Georgiades K, Snelling D, Hong S, Omariba W, Hurley P, Rao-Melacini P. The influence of economic development level, household wealth and maternal education on child health in the developing world. Social science & medicine. 2006 Oct 1;63(8):2242-54. Root cause
  • 66. Socioeconomic characteristics • Women's education offers leverage for improving child health through the provision of more effective parental care in the home and enhanced use of treatment and prevention services from the health care system. • Maternal education may also contribute to delayed child bearing, longer birth intervals and fewer children as well as improved opportunities to pursue work outside the home and to generate additional household wealth. • Studies show repeatedly that women's education is associated with longer life expectancies, lower death rates and improved child health and nutrition. 9/02/2022 66 Group 2: Root Cause Analysis 10. Boyle MH, Racine Y, Georgiades K, Snelling D, Hong S, Omariba W, Hurley P, Rao-Melacini P. The influence of economic development level, household wealth and maternal education on child health in the developing world. Social science & medicine. 2006 Oct 1;63(8):2242-54. Root cause
  • 67. Socioeconomic characteristics • A child’s socioeconomic status can be reflected by parent or family-based characteristics(parental education, occupation and family affluence). • Socioeconomic status is related to physical and psychosocial health of children and adolescents. • Effects of socioeconomic status on child health are mediated by structural, behavioral and psychosocial factors. • Low SES shows adverse short-time and long-time effects on physical and psychosocial health of child. 9/02/2022 67 Group 2: Root Cause Analysis 11. Poulain T, Vogel M, Kiess W. Review on the role of socioeconomic status in child health and development. Current Opinion in pediatrics. 2020 Apr 1;32(2):308-14 Root cause
  • 68. Cultural practices • Nepal being a culturally rich country, has diverse customs, caste groups and deep-rooted religious beliefs and practices. • One of the disheartening cultural practices women are subject to is “chhaupadi Pratha”(seclusion of women during menstruation and after childbirth).12 • Women during childbirth and after delivery are separated from the family members for 10-12 days. During isolation women are not allowed to consume milk and milk products such as ghee nor are they allowed other nourishing food items.12 9/02/2022 68 Group 2: Root Cause Analysis 12. Lama D, Kamaraj R. Maternal and Child Health Care in Chhaupadi Pratha, Social seclusion of mother and child after delivery in Achham, Nepal. Public Health Research Series. 2015;4:22-33 Root cause
  • 69. Cultural practices • Traditionally in care of newborns the child is given a bath immediately after birth and daily until the mother is purified. • Health problems like cough, cold, fever, diarrhea and pneumonia are the most common problem reported due to such cultural practices. • Many women go through difficulties and with no doubt the care given to the newborns are also compromised due to such cultural practices which results in child’s poor health outcome. 9/02/2022 69 Group 2: Root Cause Analysis 12. Lama D, Kamaraj R. Maternal and Child Health Care in Chhaupadi Pratha, Social seclusion of mother and child after delivery in Achham, Nepal. Public Health Research Series. 2015;4:22-33
  • 70. Cultural practices • The practice of shaving off newborn’s head after delivery was found in some clusters in Jhapa Rajbanshi. • A case of neonatal tetanus after shaving head recorded in Jhapa. • Health worker reported that child died from neonatal tetanus resulted after 3-4 days of shaving off the head. • Son preference culture and practices has guided to have more childbirth until a son birth. • Caring mother and child are good when boy is born due to which gender discrimination creates an environment for maternal and child mortality. 9/02/2022 70 Group 2: Root Cause Analysis 13. Subba NR. Traditional practices on mother and child health care in Rajbanshi Community of Nepal. American Journal of Health Research. 2015;3(5):310-7.
  • 71. Health system characteristics • Distance to health facility is related to utilization of health services which affects the child health. • Compared to communities that are 2-3 hours away from a health post, use of both antenatal and child immunization services is higher when the health post is located within the community. • Immunization coverage is 3-4 times higher among families whose nearest health post is a high quality one than among those who have a poor-quality post. 9/02/2022 71 Group 2: Root Cause Analysis 14. Acharya LB, Cleland J. Maternal and child health services in rural Nepal: does access or quality matter more?. Health policy and planning. 2000 Jun 1;15(2):223-9
  • 72. Health system characteristics • Skilled birth attendants provide important interventions that improve maternal and neonatal health and reduce maternal and neonatal mortality. • Utilization remains poor in rural and remote areas of Nepal. • In a study among 2481 women of mid and far western Nepal who delivered a baby within. Past 12 months showed that 48% of the women delivered their babies with aid of SBAs. • Distance from health facilities and inadequate transportation pose major barriers to the utilization of SBAs. 9/02/2022 72 Group 2: Root Cause Analysis 15. Choulagai B, Onta S, Subedi N, Mehata S, Bhandari GP, Poudyal A, Shrestha B, Mathai M, Petzold M, Krettek A. Barriers to using skilled birth attendants’ services in mid-and far-western Nepal: a cross-sectional study. BMC international health and human rights. 2013 Dec;13(1):1-9. Root cause
  • 73. Health system characteristics • Despite efforts by the GoN, data from last three DHS show contribution of neonatal deaths to infant and child mortality. • There are several community-based programs like safe motherhood, birth preparedness package, community-based newborn care package and IMCI. • Challenges like inadequate policy environment, funding gaps, inadequate procurement and insufficient supplies of commodities, as well as human resource management has been found to be impeding service delivery. 9/02/2022 73 Group 2: Root Cause Analysis 16. Khatri RB, Mishra SR, Khanal V, Gelal K, Neupane S. Newborn health interventions and challenges for implementation in Nepal. Frontiers in Public Health. 2016 Feb 11;4:15. Root cause
  • 74. Health system characteristics - Poor adherences to essential newborn care standards - Low programmatic priority of birth preparedness package - Inadequate family and community awareness on preterm labor - Poor supply of logistics to perform KMC - Poor competency of SBAs to manage the birth asphyxia - Lack of postnatal care guideline for newborn at home - Delay procurement and poor supply chain management - Lack of neonatal nurse and other skilled health human resources 9/02/2022 74 Group 2: Root Cause Analysis 16. Khatri RB, Mishra SR, Khanal V, Gelal K, Neupane S. Newborn health interventions and challenges for implementation in Nepal. Frontiers in Public Health. 2016 Feb 11;4:15. Root cause
  • 76. Political and economic structure - The politics of health sector decision-making and resources allocation can be more complicated in the context of decentralization. - Weaknesses in access to and use of data and information, human resource capacity and sub-national democratization limit effective political advocacy for the health sector. - Political economy analysis is an important for determining the reasons for decisions made and resource allocations in the health sector. 9/02/2022 76 Group 2: Root Cause Analysis 17. Hipgrave DB, Anderson I, Sato M. A rapid assessment of the political economy of health at district level, with a focus on maternal, newborn and child health, in Bangladesh, Indonesia, Nepal and the Philippines. Health Policy and Planning. 2019 Dec 1;34(10):762-72.
  • 77. 9/02/2022 Group 2: Root Cause Analysis 77 Political and economic structure Barnish, M.S., Tan, S.Y., Taeihagh, A. et al. Linking political exposures to child and maternal health outcomes: a realist review. BMC Public Health 21, 127 (2021)
  • 78. 9/02/2022 Group 2: Root Cause Analysis 78 Conclusion 06
  • 79. • Thus child health is determined by the state of child morbidity and mortality. • Child morbidity and mortality has its cause deep rooted which needs to be looked for. • Root cause analysis is required to address the problems of child health and to design the intervention to address it • For every immediate cause there is underlying and that underlying cause remains or prevails due to root cause. • Child mortality or morbidity may be due to disease or conditions like injuries. Underlying causes like outdoor air pollution, child care practices, indoor air pollution combined contributes to prevalence of such disease/conditions . • And as we further analyse- factors like poverty, illiteracy, low SES etc are the root causes. 9/02/2022 Group 2: Root Cause Analysis 79 Conclusion
  • 81. 9/02/2022 Group 2: Root Cause Analysis 81 References 07
  • 82. References 1. Devakumar D, Semple S, Osrin D, Yadav SK, Kurmi OP, Saville NM, Shrestha B, Manandhar DS, Costello A, Ayres JG. Biomass fuel use and the exposure of children to particulate air pollution in southern Nepal. Environment international. 2014 May 1;66:79-87. 2. Dadras O, Chapman RS. Biomass fuel smoke and stunting in early childhood: finding from a national survey Nepal. Journal of Health Research. 2017 Nov 28;31(Suppl. 1):s7-15. 3. Gautam OP, Schmidt WP, Cairncross S, Cavill S, Curtis V. Trial of a Novel Intervention to Improve Multiple Food Hygiene Behaviors in Nepal. The American journal of tropical medicine and hygiene. 2017 Jun 7;96(6):1415-26 4. Shrestha A, Six J, Dahal D, Marks S, Meierhofer R. Association of nutrition, water, sanitation and hygiene practices with children’s nutritional status, intestinal parasitic infections and diarrhoea in rural Nepal: a cross-sectional study. BMC public health. 2020 Dec;20(1):1-21. 5. 5. Sah RB, Bhattarai S, Yadav S, Baral R, Jha N, Pokharel PK. A study of prevalence of intestinal parasites and associated risk factors among the school children of Itahari, Eastern Region of Nepal. Tropical parasitology. 2013 Jul;3(2):140. 9/02/2022 82 Group 2: Root Cause Analysis
  • 83. References 6. Al-Agha R, Teodorescu I. Intestinal parasites infestation and anemia in primary school children in Gaza Governorates--Palestine. Roumanian archives of microbiology and immunology. 2000 Jan 1;59(1-2):131- 43. 7. Bhattachan B, Panta YB, Tiwari S, Sherchand JB, Rai SK. Intestinal parasitic infection among school children in Chitwan District Of Nepal. Journal of Institute of Medicine. 2015 Nov 6;38(2). 8. Acharya J, van Teijlingen E, Murphy J, Hind M. Study on nutritional problems in preschool aged children of Kaski district of Nepal. Journal of Multidisciplinary Research in Healthcare. 2015 Apr 23;1(2):97-118. 9. Acharya K, Paudel YR, Dharel D. The trend of full vaccination coverage in infants and inequalities by wealth quintile and maternal education: analysis from four recent demographic and health surveys in Nepal. BMC public health. 2019 Dec;19(1):1-1. 10. Boyle MH, Racine Y, Georgiades K, Snelling D, Hong S, Omariba W, Hurley P, Rao-Melacini P. The influence of economic development level, household wealth and maternal education on child health in the developing world. Social science & medicine. 2006 Oct 1;63(8):2242-54. 9/02/2022 83 Group 2: Root Cause Analysis
  • 84. References 11. Poulain T, Vogel M, Kiess W. Review on the role of socioeconomic status in child health and development. Current Opinion in pediatrics. 2020 Apr 1;32(2):308-14. 12. Lama D, Kamaraj R. Maternal and Child Health Care in Chhaupadi Pratha, Social seclusion of mother and child after delivery in Achham, Nepal. Public Health Research Series. 2015;4:22-33. 13. Subba NR. Traditional practices on mother and child health care in Rajbanshi Community of Nepal. American Journal of Health Research. 2015;3(5):310-7. 14. Acharya LB, Cleland J. Maternal and child health services in rural Nepal: does access or quality matter more?. Health policy and planning. 2000 Jun 1;15(2):223-9. 15. Choulagai B, Onta S, Subedi N, Mehata S, Bhandari GP, Poudyal A, Shrestha B, Mathai M, Petzold M, Krettek A. Barriers to using skilled birth attendants’ services in mid-and far-western Nepal: a cross- sectional study. BMC international health and human rights. 2013 Dec;13(1):1-9. 16. Khatri RB, Mishra SR, Khanal V, Gelal K, Neupane S. Newborn health interventions and challenges for implementation in Nepal. Frontiers in Public Health. 2016 Feb 11;4:15. 9/02/2022 84 Group 2: Root Cause Analysis
  • 85. References 17. Hipgrave DB, Anderson I, Sato M. A rapid assessment of the political economy of health at district level, with a focus on maternal, newborn and child health, in Bangladesh, Indonesia, Nepal and the Philippines. Health Policy and Planning. 2019 Dec 1;34(10):762-72 18. Perin J, Mulick A, Yeung D, Villavicencio F, Lopez G, Strong KL, Prieto-Merino D, Cousens S, Black RE, Liu L. Global, regional, and national causes of under-5 mortality in 2000–19: an updated systematic analysis with implications for the Sustainable Development Goals. The Lancet Child & Adolescent Health. 2022 Feb 1;6(2):106-15. 19. Singh, Samikshya, Gambhir Shrestha, Deepak Joshi, and Tesfayi Gebreselassie. 2019. Childhood Illness and Mortality in Nepal: Trends and Determinants. DHS Further Analysis Reports No. 120. Rockville, Maryland, USA: ICF. 20. Ministry of Health, New ERA, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: Ministry of Health, Nepal. 21. Blondel B, Macfarlane A, Gissler M, Breart G, Zeitlin J. General obstetrics: Preterm birth and multiple pregnancy in European countries participating in the PERISTAT project. BJOG: An International Journal of Obstetrics & Gynaecology. 2006 May;113(5):528-35. 9/02/2022 85 Group 2: Root Cause Analysis
  • 86. References 22. Wells JC, Marphatia AA, Cortina‐Borja M, Manandhar DS, Reid AM, Saville NM. Associations of maternal age at marriage and pregnancy with infant undernutrition: Evidence from first‐time mothers in rural lowland Nepal. American Journal of Biological Anthropology. 2022 May 24. 23. Fall CH, Sachdev HS, Osmond C, Restrepo-Mendez MC, Victora C, Martorell R, Stein AD, Sinha S, Tandon N, Adair L, Bas I. Association between maternal age at childbirth and child and adult outcomes in the offspring: a prospective study in five low-income and middle-income countries (COHORTS collaboration). The Lancet Global Health. 2015 Jul 1;3(7):e366-77. 24. Nasrullah M, Zakar R, Zakar MZ, Krämer A. Girl-child marriage and its association with morbidity and mortality of children under 5 years of age in a nationally-representative sample of Pakistan. The Journal of pediatrics. 2014 Mar 1;164(3):639-46. 25. Schaaf JM, Mol BW, Abu‐Hanna A, Ravelli AC. Trends in preterm birth: singleton and multiple pregnancies in the Netherlands, 2000–2007. BJOG: An International Journal of Obstetrics & Gynaecology. 2011 Sep;118(10):1196-204. 26. Verma A, Cleland J. Is newborn survival influenced by place of delivery? a comparison of home, public sector and private sector deliveries in India. Journal of Biosocial Science. 2022 Mar;54(2):184-98. 9/02/2022 86 Group 2: Root Cause Analysis
  • 87. References 27. Thapa N, Chongsuvivatwong V, Geater AF, Ulstein M, Bechtel GA. Infant death rates and animal-shed delivery in remote rural areas of Nepal. Social science & medicine. 2000 Nov 16;51(10):1447-56. 28. WHO. Trends in maternal mortality: 2000 to 2017: estimates by WHO, UNICEF, UNFPA, World Bank Group and the United Nations population division. Geneva: World Health Organization; 2019. p. 2019. 9/02/2022 87 Group 2: Root Cause Analysis

Editor's Notes

  1. In the 5-year period preceding the survey, neonatal mortality was 21 deaths per 1,000 live births, infant mortality was 32 deaths per 1,000 live births, and under-5 mortality was 39 deaths per 1,000 live births. These rates imply that nearly one in 30 children die before reaching their first birthday and that one in 25 die before reaching their fifth birthday (Table 8.1). Slightly more than one-half (54%) of all deaths in the first 5 years of life occur in the first month of life, an increase from 42% in 1996. As childhood mortality rates have declined, the burden of neonatal deaths has increased. The Nepal Health Sector Strategy 2016- 2021 targets are to reduce neonatal and under-5 mortality to 17.5 and 28 deaths per 1,000 live births, respectively, by the year 2021 (Ministry of Health 2015b). (Ministry of Health 2017b).
  2. Ref: 1. Devakumar D, Semple S, Osrin D, Yadav SK, Kurmi OP, Saville NM, Shrestha B, Manandhar DS, Costello A, Ayres JG. Biomass fuel use and the exposure of children to particulate air pollution in southern Nepal. Environment international. 2014 May 1;66:79-87.
  3. Ref: 2. Dadras O, Chapman RS. Biomass fuel smoke and stunting in early childhood: finding from a national survey Nepal. Journal of Health Research. 2017 Nov 28;31(Suppl. 1):s7-15.
  4. 3. Gautam OP, Schmidt WP, Cairncross S, Cavill S, Curtis V. Trial of a Novel Intervention to Improve Multiple Food Hygiene Behaviors in Nepal. The American journal of tropical medicine and hygiene. 2017 Jun 7;96(6):1415-26.
  5. 4. Shrestha A, Six J, Dahal D, Marks S, Meierhofer R. Association of nutrition, water, sanitation and hygiene practices with children’s nutritional status, intestinal parasitic infections and diarrhoea in rural Nepal: a cross-sectional study. BMC public health. 2020 Dec;20(1):1-21. 5. Sah RB, Bhattarai S, Yadav S, Baral R, Jha N, Pokharel PK. A study of prevalence of intestinal parasites and associated risk factors among the school children of Itahari, Eastern Region of Nepal. Tropical parasitology. 2013 Jul;3(2):140.
  6. 6. Al-Agha R, Teodorescu I. Intestinal parasites infestation and anemia in primary school children in Gaza Governorates--Palestine. Roumanian archives of microbiology and immunology. 2000 Jan 1;59(1-2):131-43. 7. Bhattachan B, Panta YB, Tiwari S, Sherchand JB, Rai SK. Intestinal parasitic infection among school children in Chitwan District Of Nepal. Journal of Institute of Medicine. 2015 Nov 6;38(2).
  7. 8. Acharya J, van Teijlingen E, Murphy J, Hind M. Study on nutritional problems in preschool aged children of Kaski district of Nepal. Journal of Multidisciplinary Research in Healthcare. 2015 Apr 23;1(2):97-118.
  8. 9. Acharya K, Paudel YR, Dharel D. The trend of full vaccination coverage in infants and inequalities by wealth quintile and maternal education: analysis from four recent demographic and health surveys in Nepal. BMC public health. 2019 Dec;19(1):1-1.
  9. 10. Boyle MH, Racine Y, Georgiades K, Snelling D, Hong S, Omariba W, Hurley P, Rao-Melacini P. The influence of economic development level, household wealth and maternal education on child health in the developing world. Social science & medicine. 2006 Oct 1;63(8):2242-54.
  10. 10. Boyle MH, Racine Y, Georgiades K, Snelling D, Hong S, Omariba W, Hurley P, Rao-Melacini P. The influence of economic development level, household wealth and maternal education on child health in the developing world. Social science & medicine. 2006 Oct 1;63(8):2242-54.
  11. 11. Poulain T, Vogel M, Kiess W. Review on the role of socioeconomic status in child health and development. Current Opinion in pediatrics. 2020 Apr 1;32(2):308-14.
  12. 12. Lama D, Kamaraj R. Maternal and Child Health Care in Chhaupadi Pratha, Social seclusion of mother and child after delivery in Achham, Nepal. Public Health Research Series. 2015;4:22-33.
  13. Lama D, Kamaraj R. Maternal and Child Health Care in Chhaupadi Pratha, Social seclusion of mother and child after delivery in Achham, Nepal. Public Health Research Series. 2015;4:22-33.
  14. 13. Subba NR. Traditional practices on mother and child health care in Rajbanshi Community of Nepal. American Journal of Health Research. 2015;3(5):310-7.
  15. 14. Acharya LB, Cleland J. Maternal and child health services in rural Nepal: does access or quality matter more?. Health policy and planning. 2000 Jun 1;15(2):223-9.
  16. 15. Choulagai B, Onta S, Subedi N, Mehata S, Bhandari GP, Poudyal A, Shrestha B, Mathai M, Petzold M, Krettek A. Barriers to using skilled birth attendants’ services in mid-and far-western Nepal: a cross-sectional study. BMC international health and human rights. 2013 Dec;13(1):1-9.
  17. 16. Khatri RB, Mishra SR, Khanal V, Gelal K, Neupane S. Newborn health interventions and challenges for implementation in Nepal. Frontiers in Public Health. 2016 Feb 11;4:15.
  18. Khatri RB, Mishra SR, Khanal V, Gelal K, Neupane S. Newborn health interventions and challenges for implementation in Nepal. Frontiers in Public Health. 2016 Feb 11;4:15.
  19. 17. Hipgrave DB, Anderson I, Sato M. A rapid assessment of the political economy of health at district level, with a focus on maternal, newborn and child health, in Bangladesh, Indonesia, Nepal and the Philippines. Health Policy and Planning. 2019 Dec 1;34(10):762-72.