SlideShare a Scribd company logo
1 of 24
Demographic index-death rate
Dr. Chirag Sonkusare
Junior Resident III
Department Of Community Medicine
Grant Government Medical College, Mumbai.
A question that is often raised is:
How healthy is a given community?
β€’ Indicators are required not only to measure the health status of a
community, but also to compare the health status of one country with
that of another;
οƒ˜for assessment of health care needs,
οƒ˜for allocation of scarce resources,
οƒ˜for monitoring and evaluation of health services, activities, and
programmes.
β€’ Indicators help to measure the extent to which the objectives and
targets of a programme are being attained. mortality rate)
Characteristics of indicators
Valid
Reliable
Sensitive
Specific
Feasible
Relevant
They should actually measure what they are supposed to measure;
They should be sensitive to changes in the situation concerned,
The answers should be the same if measured by different people in
similar circumstances;
They should reflect changes only in the situation concerned,
They should have the ability to obtain data needed
They should contribute to the understanding of the phenomenon of
interest
Classification of indicators
1. Mortality indicators
2. Morbidity indicators
3. Disability rates
4. Nutritional status indicators
5. Health care delivery indicators
6. Utilization rates
7. Indicators of social and mental health
8. Environmental indicators
9. Socio-economic indicators
10. Health policy indicators
11. Indicators of quality of life, and
12. Other indicators.
Mortality
indicators
Crude death rate:
β€’ This is considered a fair indicator of the comparative health of the people.
β€’ It is defined as the number of deaths per 1000 population per year in a given community.
β€’ It indicates the rate at which people are dying.
β€’ health should not be measured by the number of deaths that occur in a community.
β€’ But in many countries, the crude death rate is the only available indicator of health.
β€’ When used for international comparison, the usefulness of the crude death rate is
restricted because it is influenced by the age-sex composition of the population.
β€’ Although not a perfect measure of health status, a decrease in death rate provides a good
tool for assessing the overall health improvement in a population.
β€’ Reducing the number of deaths in the population is an obvious goal of medicine and
health care, and success or failure to do so is a measure of a nation's commitment to
Expectation of life :
β€’ Life expectancy at birth is "the average number of years that will be lived by those born alive
into a population if the current age-specific mortality rates persist".
β€’ Life expectancy at birth is highly influenced by the infant mortality rate where that is high.
β€’ Life expectancy at the age of 1 excludes the influence of infant mortality, and life expectancy
at the age of 5 excludes the influence of child mortality.
β€’ Life expectancy at birth is used most frequently.
β€’ It is estimated for both sexes separately.
β€’ An increase in the expectation of life is regarded, inferentially, as an improvement in health
status.
β€’ Life expectancy is a good indicator of socio-economic development in general. As an indicator
of long-term survival, it can be considered as a positive health indicator.
β€’ It has been adopted as a global health indicator.
Age-specific death rates :
β€’ Death rates can be expressed for specific age groups in a population which are defined by
age.
β€’ An age-specific death rate is defined as total number of deaths occurring in a specific age
group of the population (e.g. 20- 24 years) in a defined area during a specific period per
1000 estimated total population of the same age group of the population in the same area
during the same period.
Infant mortality rate:
β€’ Infant mortality rate is the ratio of deaths under 1 year of age in a given year to
the total number of live births in the same year; usually expressed as a rate per
1000 live births.
β€’ It is one of the most universally accepted indicators of health status not only of
infants, but also of whole population and of the socio-economic conditions under
which they live.
β€’ In addition, the infant mortality rate is a sensitive indicator of the availability,
utilization and effectiveness of health care, particularly perinatal care.
Child death rate :
β€’ Another indicator related to the overall health status is the early childhood (1-4 years) mortality
rate.
β€’ It is defined as the number of deaths at ages 1-4 years in a given year, per 1000 children in that age
group at the mid-point of the year concerned. It thus excludes infant mortality.
β€’ Apart from its correlation with inadequate MCH services, it is also related to insufficient nutrition,
low coverage by immunization and adverse environmental exposure and other exogenous agents.
β€’ Whereas the IMR may be more than 10 times higher in the least developed countries than in the
developed countries, the child mortality rate may be as much as 25 limes higher.
β€’ This indicates the magnitude of the gap and the room for improvement.
Under-5 proportionate mortality rate :
β€’ It is the proportion of total deaths occurring in the under-5 age group.
β€’ This rate can be used to reflect both infant and child mortality rates.
β€’ In communities with poor hygiene, the proportion may exceed 60 per 1000
live births.
β€’ In some European countries, the proportion is less than 2 per 1000 live
births. High rate reflects high birth rates, high child mortality rates and
shorter life expectancy.
Adult mortality rate
β€’ The adult mortality rate is defined as the probability of dying between the
age of 15 and 60 years per 1000 population.
β€’ The adult mortality rate offers a way to analyze health gaps between
countries in the main working groups.
β€’ The probability of dying in adulthood is greater for men than for women in
almost all countries, but the variations between countries is very large.
β€’ In Japan, less than 1 in 10 men (and 1 in 20 women) die in these
productive age group, compared to almost 2- 3 in 10 men (and 1-2
women) in Angola
Maternal (puerperal) mortality rate
β€’ Maternal (puerperal) mortality accounts for the greatest proportion of
deaths among women of reproductive age in most of the developing world.
β€’ There are enormous variations in maternal mortality rate according to
country's level of socioeconomic status.
Disease-specific mortality rate
β€’ Mortality rates can be computed for specific diseases. As countries begin
to extricate themselves from the burden of communicable diseases, a
number of other indicators such as deaths from cancer, cardiovascular
diseases, accidents, diabetes, etc
β€’ have emerged as measures of specific disease problems.
Proportional mortality rate
β€’ The simplest measure of estimating the burden of a disease in the
community is proportional mortality rate, i.e. , the proportion of all deaths
currently attributed to it.
β€’ For example, coronary heart disease is the cause of 25 to 30 per cent of
all deaths in most western countries.
β€’ The proportional mortality rate from communicable diseases has been
suggested as a useful health status indicator; it indicates the magnitude of
preventable mortality.
Case fatality rate
β€’ Case fatality rate measures the risk of persons dying from a certain disease
within a given time period. Case fatality rate is calculated as number of deaths
from a specific disease during a specific time period divided by number of cases
of the disease during the same time period, usually expressed as per 100.
β€’ The case fatality rate is used to link mortality to morbidity. One function of the
case fatality rate is to measure various aspects or properties of a disease such as
its pathogenicity, severity or virulence.
β€’ It can also be used in poisonings, chemical exposures or other short-term non-
disease cause of death.
Years of potential life lost (YPLL)
β€’ Years of potential life lost is based on the years of life lost through
premature death. It is defined as one that occurs before the age to which a
dying person could have expected to survive (before an arbitrary
determined age, usually taken age 75 years).
β€’ A 30-year-old who dies in a road accident could theoretically have lived to
an average life expectancy of 75 years of age; thus 45 years of life are
lost.
β€’ Mortality indicators represent the traditional measures of health status.
Even today they are probably the most often used indirect indicators of
health. As infectious diseases have been brought under control, mortality
rates have declined to very low levels in many countries.
β€’ Consequently, mortality indicators are losing their sensitivity as health
indicators in developed countries. However, mortality indicators continue to
be used as the starting point in health status evaluation.
Formulas and exercises
β€’ Crude death rate (CDR)=
π‘‡π‘œπ‘‘π‘Žπ‘™ π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘ 
π‘šπ‘–π‘‘ π‘¦π‘’π‘Žπ‘Ÿ π‘π‘œπ‘π‘’π‘™π‘Žπ‘‘π‘–π‘œπ‘›
x1000
β€’ Age specific mortality rate (ASMR)=
π‘π‘œ.π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘Žπ‘šπ‘œπ‘›π‘” π‘π‘’π‘Ÿπ‘ π‘œπ‘› π‘œπ‘“ π‘‘β„Žπ‘’ 𝑠𝑝𝑒𝑐𝑖𝑓𝑖𝑐 π‘Žπ‘”π‘’ π‘”π‘Ÿπ‘œπ‘’π‘
π‘šπ‘–π‘‘ π‘¦π‘’π‘Žπ‘Ÿ π‘π‘œπ‘π‘’π‘™π‘Žπ‘‘π‘–π‘œπ‘› π‘œπ‘“ π‘‘β„Žπ‘’ 𝑠𝑝𝑒𝑐𝑖𝑓𝑖𝑐 π‘Žπ‘”π‘’ π‘”π‘Ÿπ‘œπ‘’π‘
x1000
β€’ Sex specific mortality rate (SSMR)=
π‘π‘œ.π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘Žπ‘šπ‘œπ‘›π‘” π‘π‘’π‘Ÿπ‘ π‘œπ‘› π‘œπ‘“ π‘‘β„Žπ‘’ π‘π‘Žπ‘Ÿπ‘‘π‘–π‘π‘’π‘™π‘Žπ‘Ÿ 𝑠𝑒π‘₯
π‘šπ‘–π‘‘ π‘¦π‘’π‘Žπ‘Ÿ π‘π‘œπ‘π‘’π‘™π‘Žπ‘‘π‘–π‘œπ‘› π‘œπ‘“ π‘Ž π‘π‘Žπ‘Ÿπ‘‘π‘–π‘π‘’π‘™π‘Žπ‘Ÿ 𝑠𝑒π‘₯
x1000
β€’ Cause specific mortality rate (CSMR) =
π‘π‘œ.π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑑𝑒𝑒 π‘‘π‘œ π‘Ž 𝑠𝑝𝑒𝑐𝑖𝑓𝑖𝑐 π‘π‘Žπ‘’π‘ π‘’ (π‘‘π‘–π‘ π‘’π‘Žπ‘ π‘’)
π‘šπ‘–π‘‘ π‘¦π‘’π‘Žπ‘Ÿ π‘π‘œπ‘π‘’π‘™π‘Žπ‘‘π‘–π‘œπ‘›
x1000
β€’ Case fatality rate (CFR)=
π‘π‘œ.π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑑𝑒𝑒 π‘‘π‘œ π‘Ž π‘π‘Žπ‘Ÿπ‘‘π‘–π‘π‘’π‘™π‘Žπ‘Ÿ π‘‘π‘–π‘ π‘’π‘Žπ‘ π‘’
π‘π‘œ.π‘œπ‘“ π‘π‘Žπ‘ π‘’π‘  π‘œπ‘“ π‘‘β„Žπ‘Žπ‘‘ π‘π‘Žπ‘Ÿπ‘‘π‘–π‘π‘’π‘™π‘Žπ‘Ÿ π‘‘π‘–π‘ π‘’π‘Žπ‘ π‘’
x100
β€’ Proportionate mortality rate=
π‘π‘œ.π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑑𝑒𝑒 π‘‘π‘œ π‘Ž π‘π‘Žπ‘Ÿπ‘‘π‘–π‘π‘’π‘™π‘Žπ‘Ÿ π‘‘π‘–π‘ π‘’π‘Žπ‘ π‘’
π‘π‘œ.π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑑𝑒𝑒 π‘‘π‘œ π‘Žπ‘™π‘™ π‘π‘Žπ‘’π‘ π‘’
x100
β€’ Maternal mortality ratio (MMR)=
π‘π‘œ.π‘œπ‘“ π‘šπ‘Žπ‘‘π‘’π‘Ÿπ‘›π‘Žπ‘™ π‘‘π‘’π‘Žπ‘‘β„Žπ‘ 
π‘π‘œ.π‘œπ‘“ 𝑙𝑖𝑣𝑒 π‘π‘–π‘Ÿπ‘‘β„Žπ‘ 
x100000
β€’ Maternal mortality rate (MMR) =
π‘π‘œ.π‘œπ‘“ π‘šπ‘Žπ‘‘π‘’π‘Ÿπ‘›π‘Žπ‘™ π‘‘π‘’π‘Žπ‘‘β„Žπ‘ 
π‘π‘œ.π‘œπ‘“π‘€π‘œπ‘šπ‘’π‘› π‘œπ‘“ π‘Ÿπ‘’π‘π‘Ÿπ‘œπ‘‘π‘’π‘π‘‘π‘–π‘£π‘’ π‘Žπ‘”π‘’ π‘‘π‘’π‘Ÿπ‘–π‘›π‘” π‘ π‘Žπ‘šπ‘’ π‘‘π‘–π‘šπ‘’ π‘π‘’π‘Ÿπ‘–π‘œπ‘‘
x100000
β€’ Still birth rate (SBR)=
π‘π‘œ.π‘œπ‘“ π‘ π‘‘π‘–π‘™π‘™π‘π‘–π‘Ÿπ‘‘β„Žπ‘  (πΏπ‘Žπ‘‘π‘’ π‘“π‘’π‘‘π‘Žπ‘™ π‘‘π‘’π‘Žπ‘‘β„Žπ‘ β‰₯28 π‘€π‘’π‘’π‘˜π‘  π‘œπ‘“ π‘”π‘’π‘ π‘‘π‘Žπ‘‘π‘–π‘œπ‘›π‘Žπ‘™ π‘Žπ‘”π‘’)
π‘π‘œ.π‘œπ‘“ 𝑙𝑖𝑣𝑒 π‘π‘–π‘Ÿπ‘‘β„Žπ‘  π‘Žπ‘›π‘‘ 𝑠𝑑𝑖𝑙𝑙 π‘π‘–π‘Ÿπ‘‘β„Žπ‘ 
x1000
β€’ Perinatal mortality rate (PMR)=
π‘π‘œ.π‘œπ‘“ π‘π‘’π‘Ÿπ‘–π‘›π‘Žπ‘‘π‘Žπ‘™ (𝑠𝑑𝑖𝑙𝑙 π‘π‘–π‘Ÿπ‘‘β„Ž π‘Žπ‘›π‘‘ π‘›π‘’π‘œπ‘›π‘Žπ‘‘π‘Žπ‘™ π‘‘π‘’π‘Žπ‘‘β„Žπ‘ )
π‘π‘œ.π‘œπ‘“ 𝑙𝑖𝑣𝑒 π‘π‘–π‘Ÿπ‘‘β„Žπ‘  π‘Žπ‘›π‘‘ 𝑠𝑑𝑖𝑙𝑙 π‘π‘–π‘Ÿπ‘‘β„Žπ‘ 
x1000
β€’ Neonatal mortality rate (NMR)=
π‘π‘œ.π‘œπ‘“ π‘–π‘›π‘“π‘Žπ‘›π‘‘ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘‘π‘’π‘Ÿπ‘–π‘›π‘” π‘“π‘–π‘Ÿπ‘ π‘‘ 28 π‘‘π‘Žπ‘¦π‘  π‘œπ‘“ π‘Žπ‘”π‘’)
π‘π‘œ.π‘œπ‘“ 𝑙𝑖𝑣𝑒 π‘π‘–π‘Ÿπ‘‘β„Žπ‘ 
x1000 early, late, post neonatal
β€’ Infant mortality rate (IMR)=
π‘π‘œ.π‘œπ‘“π‘–π‘›π‘“π‘Žπ‘›π‘‘ 𝑙𝑒𝑠𝑠 π‘‘β„Žπ‘Žπ‘› 1 π‘¦π‘’π‘Žπ‘Ÿ π‘œπ‘“ π‘Žπ‘”π‘’ π‘‘π‘’π‘Žπ‘‘β„Žπ‘ 
π‘π‘œ.π‘œπ‘“ 𝑙𝑖𝑣𝑒 π‘π‘–π‘Ÿπ‘‘β„Žπ‘ 
x1000
β€’ Under 5 mortality rate (U5MR)=
π‘π‘œ.π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘œπ‘“ π‘β„Žπ‘–π‘™π‘‘π‘Ÿπ‘’π‘› π‘¦π‘œπ‘’π‘›π‘”π‘’π‘Ÿ π‘‘β„Žπ‘Žπ‘› 5 π‘¦π‘’π‘Žπ‘Ÿπ‘ 
π‘π‘œ.π‘œπ‘“ 𝑙𝑖𝑣𝑒 π‘π‘–π‘Ÿπ‘‘β„Žπ‘ 
x1000
β€’ In a community with mid-year population of 30,000, the total number of males
was 15,500 and that of females was 14,500. There were 2900 children in the
under-five age group. In total 206 deaths were reported in the same year; of these,
100 were males and 106 were females. There were 42 deaths in children younger
than 5 years.
β€’ Calculate
β€’ CDR and
β€’ ASMR for the under-five age group and
β€’ specific mortality rates for males and females.
β€’ In a town with a mid-year population of 60,000, there were 180 cases of hepatitis
B during year 2015. Total 430 deaths occurred in the same year; of these, 17
deaths were due to hepatitis B.
β€’ Calculate
β€’ CSMR,
β€’ proportionate mortality ratio,
β€’ CFR of hepatitis B.
In a community, with a mid-year population of 136,000, there were 3576 live births in year
2016.
β€’ Following were the number of deaths:
β€’ No. of fetal deaths (β‰₯28 weeks gestation) = 24
β€’ Deaths in less than 7 days of birth = 39
β€’ Deaths during 7-28 days of birth=34
β€’ Deaths during 29 days to less than 1 year of age = 58
β€’ Maternal deaths = 7
β€’ Deaths in the under-five age group = 170
β€’ Calculate MMR, SBR, PMR, NMR, PNMR, IMR and U5MR.

More Related Content

What's hot

RMNCH+A strategy: Reproductive, Maternal, neonatal, child and Adolescent Health
RMNCH+A strategy: Reproductive, Maternal, neonatal, child and Adolescent Health RMNCH+A strategy: Reproductive, Maternal, neonatal, child and Adolescent Health
RMNCH+A strategy: Reproductive, Maternal, neonatal, child and Adolescent Health Gaurav Kamboj
Β 
SAMPLE REGISTRATION SYSTEM (SRS) INDIA
SAMPLE REGISTRATION SYSTEM (SRS) INDIA SAMPLE REGISTRATION SYSTEM (SRS) INDIA
SAMPLE REGISTRATION SYSTEM (SRS) INDIA Kirtti Kumar Bebarta
Β 
Catalogue of community medicine spotters
Catalogue of community medicine spottersCatalogue of community medicine spotters
Catalogue of community medicine spottersRizwan S A
Β 
International health regulations(ihr).pptx
International health regulations(ihr).pptxInternational health regulations(ihr).pptx
International health regulations(ihr).pptxADESH MEDICAL COLLEGE
Β 
Occupational health
Occupational healthOccupational health
Occupational healthSiva Mbbs
Β 
MCH Care Indicators
MCH Care IndicatorsMCH Care Indicators
MCH Care IndicatorsTanveerRehman4
Β 
Measurement of malaria
Measurement of malariaMeasurement of malaria
Measurement of malariaSachin Patne
Β 
Epidemiology of communicable diseases
Epidemiology of communicable diseasesEpidemiology of communicable diseases
Epidemiology of communicable diseasesDalia El-Shafei
Β 
Epidemiology of communicable disease
Epidemiology of communicable diseaseEpidemiology of communicable disease
Epidemiology of communicable diseaseKailash Nagar
Β 
Global disease burden
Global disease burdenGlobal disease burden
Global disease burdenDrZahid Khan
Β 
Burden of disease and determinants of health
Burden of disease and determinants of healthBurden of disease and determinants of health
Burden of disease and determinants of healthDrZahid Khan
Β 
International health regulation
International health regulationInternational health regulation
International health regulationVenu Bolisetti
Β 
Nutritional Problems in Public Health.pptx
Nutritional Problems in Public Health.pptxNutritional Problems in Public Health.pptx
Nutritional Problems in Public Health.pptxSanjeevDavey1
Β 
Demographic indicators
Demographic indicatorsDemographic indicators
Demographic indicatorsDr Rajeev Kumar
Β 
Reproductive Health: Nepal
Reproductive Health: NepalReproductive Health: Nepal
Reproductive Health: NepalDr. Kishor Adhikari
Β 
Measures of disease burden
Measures of disease burdenMeasures of disease burden
Measures of disease burdenRanadip Chowdhury
Β 

What's hot (20)

RMNCH+A strategy: Reproductive, Maternal, neonatal, child and Adolescent Health
RMNCH+A strategy: Reproductive, Maternal, neonatal, child and Adolescent Health RMNCH+A strategy: Reproductive, Maternal, neonatal, child and Adolescent Health
RMNCH+A strategy: Reproductive, Maternal, neonatal, child and Adolescent Health
Β 
SAMPLE REGISTRATION SYSTEM (SRS) INDIA
SAMPLE REGISTRATION SYSTEM (SRS) INDIA SAMPLE REGISTRATION SYSTEM (SRS) INDIA
SAMPLE REGISTRATION SYSTEM (SRS) INDIA
Β 
Catalogue of community medicine spotters
Catalogue of community medicine spottersCatalogue of community medicine spotters
Catalogue of community medicine spotters
Β 
International health regulations(ihr).pptx
International health regulations(ihr).pptxInternational health regulations(ihr).pptx
International health regulations(ihr).pptx
Β 
Fertility indicators
Fertility indicatorsFertility indicators
Fertility indicators
Β 
Occupational health
Occupational healthOccupational health
Occupational health
Β 
MCH Care Indicators
MCH Care IndicatorsMCH Care Indicators
MCH Care Indicators
Β 
Measurement of malaria
Measurement of malariaMeasurement of malaria
Measurement of malaria
Β 
Global Burden of Disease (GBD) 2017 study findings
Global Burden of Disease (GBD) 2017 study findingsGlobal Burden of Disease (GBD) 2017 study findings
Global Burden of Disease (GBD) 2017 study findings
Β 
Epidemiology of communicable diseases
Epidemiology of communicable diseasesEpidemiology of communicable diseases
Epidemiology of communicable diseases
Β 
Epidemiology of communicable disease
Epidemiology of communicable diseaseEpidemiology of communicable disease
Epidemiology of communicable disease
Β 
NFHS 3
NFHS 3NFHS 3
NFHS 3
Β 
Global disease burden
Global disease burdenGlobal disease burden
Global disease burden
Β 
Burden of disease and determinants of health
Burden of disease and determinants of healthBurden of disease and determinants of health
Burden of disease and determinants of health
Β 
International health regulation
International health regulationInternational health regulation
International health regulation
Β 
Nutritional Problems in Public Health.pptx
Nutritional Problems in Public Health.pptxNutritional Problems in Public Health.pptx
Nutritional Problems in Public Health.pptx
Β 
Demographic indicators
Demographic indicatorsDemographic indicators
Demographic indicators
Β 
Reproductive Health: Nepal
Reproductive Health: NepalReproductive Health: Nepal
Reproductive Health: Nepal
Β 
Measures of disease burden
Measures of disease burdenMeasures of disease burden
Measures of disease burden
Β 
International health
International healthInternational health
International health
Β 

Similar to CM9.2 Describe calculate and interpret demographic index-death rate.pptx

Health indicators
Health indicatorsHealth indicators
Health indicatorsNabeela Basha
Β 
7.health indicators
7.health indicators7.health indicators
7.health indicatorsAESHA ZAFNA
Β 
Concepts of health
Concepts of healthConcepts of health
Concepts of healthNive2396
Β 
Health status of the community
Health status of the communityHealth status of the community
Health status of the communityMADHURIMAGOPINATH1
Β 
Measures of Mortality.pptx
Measures of Mortality.pptxMeasures of Mortality.pptx
Measures of Mortality.pptxJosephmwanika
Β 
Basic Measures.pptx
Basic Measures.pptxBasic Measures.pptx
Basic Measures.pptxShumaila Jameel
Β 
Health Indicators | Epidemiology
Health Indicators | EpidemiologyHealth Indicators | Epidemiology
Health Indicators | EpidemiologyDr Ghaiath Hussein
Β 
Morbidity and mortality slides
Morbidity and mortality slidesMorbidity and mortality slides
Morbidity and mortality slidesjesus4u
Β 
Biostatistics 4-6.pptx
Biostatistics 4-6.pptxBiostatistics 4-6.pptx
Biostatistics 4-6.pptxagripamusic
Β 
Ozz(morbidity and mortality)
Ozz(morbidity and mortality)Ozz(morbidity and mortality)
Ozz(morbidity and mortality)Viju Rathod
Β 
Indicators of health
Indicators of healthIndicators of health
Indicators of healthshefali jain
Β 
Indicators of health
Indicators of healthIndicators of health
Indicators of healthBharat Paul
Β 
indicatorsofhealth-150603070513-lva1-app6892.pdf
indicatorsofhealth-150603070513-lva1-app6892.pdfindicatorsofhealth-150603070513-lva1-app6892.pdf
indicatorsofhealth-150603070513-lva1-app6892.pdfRAEHASIDDIQUI1
Β 
indicators of health.pptx
indicators of health.pptxindicators of health.pptx
indicators of health.pptxBijayaSaha5
Β 
Health Economics
Health EconomicsHealth Economics
Health EconomicsRashmiSubbiah
Β 
Basics of Health and population statstistics
Basics of Health and population statstisticsBasics of Health and population statstistics
Basics of Health and population statstisticsPreet Mehta
Β 

Similar to CM9.2 Describe calculate and interpret demographic index-death rate.pptx (20)

Health indicators
Health indicatorsHealth indicators
Health indicators
Β 
7.health indicators
7.health indicators7.health indicators
7.health indicators
Β 
Concepts of health
Concepts of healthConcepts of health
Concepts of health
Β 
Indicators of health
Indicators of healthIndicators of health
Indicators of health
Β 
Health status of the community
Health status of the communityHealth status of the community
Health status of the community
Β 
Measures of Mortality.pptx
Measures of Mortality.pptxMeasures of Mortality.pptx
Measures of Mortality.pptx
Β 
MM 2.pptx
MM 2.pptxMM 2.pptx
MM 2.pptx
Β 
MM 2.pptx
MM 2.pptxMM 2.pptx
MM 2.pptx
Β 
Basic Measures.pptx
Basic Measures.pptxBasic Measures.pptx
Basic Measures.pptx
Β 
Health Indicators | Epidemiology
Health Indicators | EpidemiologyHealth Indicators | Epidemiology
Health Indicators | Epidemiology
Β 
Indicators of health
Indicators of healthIndicators of health
Indicators of health
Β 
Morbidity and mortality slides
Morbidity and mortality slidesMorbidity and mortality slides
Morbidity and mortality slides
Β 
Biostatistics 4-6.pptx
Biostatistics 4-6.pptxBiostatistics 4-6.pptx
Biostatistics 4-6.pptx
Β 
Ozz(morbidity and mortality)
Ozz(morbidity and mortality)Ozz(morbidity and mortality)
Ozz(morbidity and mortality)
Β 
Indicators of health
Indicators of healthIndicators of health
Indicators of health
Β 
Indicators of health
Indicators of healthIndicators of health
Indicators of health
Β 
indicatorsofhealth-150603070513-lva1-app6892.pdf
indicatorsofhealth-150603070513-lva1-app6892.pdfindicatorsofhealth-150603070513-lva1-app6892.pdf
indicatorsofhealth-150603070513-lva1-app6892.pdf
Β 
indicators of health.pptx
indicators of health.pptxindicators of health.pptx
indicators of health.pptx
Β 
Health Economics
Health EconomicsHealth Economics
Health Economics
Β 
Basics of Health and population statstistics
Basics of Health and population statstisticsBasics of Health and population statstistics
Basics of Health and population statstistics
Β 

More from Dr. Chirag Sonkusare

Application of computers in epidemilogy.pptx
Application of computers in epidemilogy.pptxApplication of computers in epidemilogy.pptx
Application of computers in epidemilogy.pptxDr. Chirag Sonkusare
Β 
Weight wise chart of doses of Rabies Immunoglobulin
Weight wise chart of doses of Rabies ImmunoglobulinWeight wise chart of doses of Rabies Immunoglobulin
Weight wise chart of doses of Rabies ImmunoglobulinDr. Chirag Sonkusare
Β 
SURVEILLANCE AND MONITORING.pptx
SURVEILLANCE AND MONITORING.pptxSURVEILLANCE AND MONITORING.pptx
SURVEILLANCE AND MONITORING.pptxDr. Chirag Sonkusare
Β 
Non parametric test- MANN WHITNEY U TEST.pptx
Non parametric test- MANN WHITNEY U TEST.pptxNon parametric test- MANN WHITNEY U TEST.pptx
Non parametric test- MANN WHITNEY U TEST.pptxDr. Chirag Sonkusare
Β 
EPIDEMIOLOGY definition and concept part -1.pptx
EPIDEMIOLOGY definition and concept part -1.pptxEPIDEMIOLOGY definition and concept part -1.pptx
EPIDEMIOLOGY definition and concept part -1.pptxDr. Chirag Sonkusare
Β 
National family health survey 5
National family health survey 5National family health survey 5
National family health survey 5Dr. Chirag Sonkusare
Β 
Principles of data collection.pptx
Principles of data collection.pptxPrinciples of data collection.pptx
Principles of data collection.pptxDr. Chirag Sonkusare
Β 
Experimental study design.pptx
Experimental study design.pptxExperimental study design.pptx
Experimental study design.pptxDr. Chirag Sonkusare
Β 
National health policy 2017.pptx
National health policy 2017.pptxNational health policy 2017.pptx
National health policy 2017.pptxDr. Chirag Sonkusare
Β 
Importance of communication in public health.pptx
Importance of communication in public health.pptxImportance of communication in public health.pptx
Importance of communication in public health.pptxDr. Chirag Sonkusare
Β 

More from Dr. Chirag Sonkusare (16)

Application of computers in epidemilogy.pptx
Application of computers in epidemilogy.pptxApplication of computers in epidemilogy.pptx
Application of computers in epidemilogy.pptx
Β 
Weight wise chart of doses of Rabies Immunoglobulin
Weight wise chart of doses of Rabies ImmunoglobulinWeight wise chart of doses of Rabies Immunoglobulin
Weight wise chart of doses of Rabies Immunoglobulin
Β 
SURVEILLANCE AND MONITORING.pptx
SURVEILLANCE AND MONITORING.pptxSURVEILLANCE AND MONITORING.pptx
SURVEILLANCE AND MONITORING.pptx
Β 
TIME SERIES ANALYSIS.pptx
TIME SERIES ANALYSIS.pptxTIME SERIES ANALYSIS.pptx
TIME SERIES ANALYSIS.pptx
Β 
Poliomyelitis.pptx
Poliomyelitis.pptxPoliomyelitis.pptx
Poliomyelitis.pptx
Β 
Non parametric test- MANN WHITNEY U TEST.pptx
Non parametric test- MANN WHITNEY U TEST.pptxNon parametric test- MANN WHITNEY U TEST.pptx
Non parametric test- MANN WHITNEY U TEST.pptx
Β 
EPIDEMIOLOGY definition and concept part -1.pptx
EPIDEMIOLOGY definition and concept part -1.pptxEPIDEMIOLOGY definition and concept part -1.pptx
EPIDEMIOLOGY definition and concept part -1.pptx
Β 
National family health survey 5
National family health survey 5National family health survey 5
National family health survey 5
Β 
Principles of data collection.pptx
Principles of data collection.pptxPrinciples of data collection.pptx
Principles of data collection.pptx
Β 
Experimental study design.pptx
Experimental study design.pptxExperimental study design.pptx
Experimental study design.pptx
Β 
National health policy 2017.pptx
National health policy 2017.pptxNational health policy 2017.pptx
National health policy 2017.pptx
Β 
PERT
PERTPERT
PERT
Β 
Importance of communication in public health.pptx
Importance of communication in public health.pptxImportance of communication in public health.pptx
Importance of communication in public health.pptx
Β 
CASE CONTROL STUDY.pptx
CASE CONTROL STUDY.pptxCASE CONTROL STUDY.pptx
CASE CONTROL STUDY.pptx
Β 
Dietary survey
Dietary surveyDietary survey
Dietary survey
Β 
MISSION INDRADHANUSH.pptx
MISSION INDRADHANUSH.pptxMISSION INDRADHANUSH.pptx
MISSION INDRADHANUSH.pptx
Β 

Recently uploaded

Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusTimothy Spann
Β 
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAl Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAroojKhan71
Β 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998YohFuh
Β 
Call Girls in Sarai Kale Khan Delhi πŸ’― Call Us πŸ”9205541914 πŸ”( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi πŸ’― Call Us πŸ”9205541914 πŸ”( Delhi) Escorts S...Call Girls in Sarai Kale Khan Delhi πŸ’― Call Us πŸ”9205541914 πŸ”( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi πŸ’― Call Us πŸ”9205541914 πŸ”( Delhi) Escorts S...Delhi Call girls
Β 
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
Β 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingNeil Barnes
Β 
04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationshipsccctableauusergroup
Β 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023ymrp368
Β 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
Β 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfRachmat Ramadhan H
Β 
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service BhilaiLow Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service BhilaiSuhani Kapoor
Β 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxolyaivanovalion
Β 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxJohnnyPlasten
Β 
꧁❀ Greater Noida Call Girls Delhi ❀꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❀ Greater Noida Call Girls Delhi ❀꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❀ Greater Noida Call Girls Delhi ❀꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❀ Greater Noida Call Girls Delhi ❀꧂ 9711199171 ☎️ Hard And Sexy Vip Callshivangimorya083
Β 
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxBPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxMohammedJunaid861692
Β 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxolyaivanovalion
Β 
BabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxBabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxolyaivanovalion
Β 

Recently uploaded (20)

Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and Milvus
Β 
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAl Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Β 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998
Β 
Call Girls in Sarai Kale Khan Delhi πŸ’― Call Us πŸ”9205541914 πŸ”( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi πŸ’― Call Us πŸ”9205541914 πŸ”( Delhi) Escorts S...Call Girls in Sarai Kale Khan Delhi πŸ’― Call Us πŸ”9205541914 πŸ”( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi πŸ’― Call Us πŸ”9205541914 πŸ”( Delhi) Escorts S...
Β 
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
Β 
꧁❀ Aerocity Call Girls Service Aerocity Delhi ❀꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❀ Aerocity Call Girls Service Aerocity Delhi ❀꧂ 9999965857 ☎️ Hard And Sexy ...꧁❀ Aerocity Call Girls Service Aerocity Delhi ❀꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❀ Aerocity Call Girls Service Aerocity Delhi ❀꧂ 9999965857 ☎️ Hard And Sexy ...
Β 
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in  KishangarhDelhi 99530 vip 56974 Genuine Escort Service Call Girls in  Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Β 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data Storytelling
Β 
04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships
Β 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023
Β 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Β 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Β 
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service BhilaiLow Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Β 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptx
Β 
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
Β 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptx
Β 
꧁❀ Greater Noida Call Girls Delhi ❀꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❀ Greater Noida Call Girls Delhi ❀꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❀ Greater Noida Call Girls Delhi ❀꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❀ Greater Noida Call Girls Delhi ❀꧂ 9711199171 ☎️ Hard And Sexy Vip Call
Β 
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxBPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
Β 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptx
Β 
BabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxBabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptx
Β 

CM9.2 Describe calculate and interpret demographic index-death rate.pptx

  • 1. Demographic index-death rate Dr. Chirag Sonkusare Junior Resident III Department Of Community Medicine Grant Government Medical College, Mumbai.
  • 2. A question that is often raised is: How healthy is a given community? β€’ Indicators are required not only to measure the health status of a community, but also to compare the health status of one country with that of another; οƒ˜for assessment of health care needs, οƒ˜for allocation of scarce resources, οƒ˜for monitoring and evaluation of health services, activities, and programmes. β€’ Indicators help to measure the extent to which the objectives and targets of a programme are being attained. mortality rate)
  • 3. Characteristics of indicators Valid Reliable Sensitive Specific Feasible Relevant They should actually measure what they are supposed to measure; They should be sensitive to changes in the situation concerned, The answers should be the same if measured by different people in similar circumstances; They should reflect changes only in the situation concerned, They should have the ability to obtain data needed They should contribute to the understanding of the phenomenon of interest
  • 4. Classification of indicators 1. Mortality indicators 2. Morbidity indicators 3. Disability rates 4. Nutritional status indicators 5. Health care delivery indicators 6. Utilization rates 7. Indicators of social and mental health 8. Environmental indicators 9. Socio-economic indicators 10. Health policy indicators 11. Indicators of quality of life, and 12. Other indicators.
  • 6. Crude death rate: β€’ This is considered a fair indicator of the comparative health of the people. β€’ It is defined as the number of deaths per 1000 population per year in a given community. β€’ It indicates the rate at which people are dying. β€’ health should not be measured by the number of deaths that occur in a community. β€’ But in many countries, the crude death rate is the only available indicator of health. β€’ When used for international comparison, the usefulness of the crude death rate is restricted because it is influenced by the age-sex composition of the population. β€’ Although not a perfect measure of health status, a decrease in death rate provides a good tool for assessing the overall health improvement in a population. β€’ Reducing the number of deaths in the population is an obvious goal of medicine and health care, and success or failure to do so is a measure of a nation's commitment to
  • 7. Expectation of life : β€’ Life expectancy at birth is "the average number of years that will be lived by those born alive into a population if the current age-specific mortality rates persist". β€’ Life expectancy at birth is highly influenced by the infant mortality rate where that is high. β€’ Life expectancy at the age of 1 excludes the influence of infant mortality, and life expectancy at the age of 5 excludes the influence of child mortality. β€’ Life expectancy at birth is used most frequently. β€’ It is estimated for both sexes separately. β€’ An increase in the expectation of life is regarded, inferentially, as an improvement in health status. β€’ Life expectancy is a good indicator of socio-economic development in general. As an indicator of long-term survival, it can be considered as a positive health indicator. β€’ It has been adopted as a global health indicator.
  • 8. Age-specific death rates : β€’ Death rates can be expressed for specific age groups in a population which are defined by age. β€’ An age-specific death rate is defined as total number of deaths occurring in a specific age group of the population (e.g. 20- 24 years) in a defined area during a specific period per 1000 estimated total population of the same age group of the population in the same area during the same period.
  • 9. Infant mortality rate: β€’ Infant mortality rate is the ratio of deaths under 1 year of age in a given year to the total number of live births in the same year; usually expressed as a rate per 1000 live births. β€’ It is one of the most universally accepted indicators of health status not only of infants, but also of whole population and of the socio-economic conditions under which they live. β€’ In addition, the infant mortality rate is a sensitive indicator of the availability, utilization and effectiveness of health care, particularly perinatal care.
  • 10. Child death rate : β€’ Another indicator related to the overall health status is the early childhood (1-4 years) mortality rate. β€’ It is defined as the number of deaths at ages 1-4 years in a given year, per 1000 children in that age group at the mid-point of the year concerned. It thus excludes infant mortality. β€’ Apart from its correlation with inadequate MCH services, it is also related to insufficient nutrition, low coverage by immunization and adverse environmental exposure and other exogenous agents. β€’ Whereas the IMR may be more than 10 times higher in the least developed countries than in the developed countries, the child mortality rate may be as much as 25 limes higher. β€’ This indicates the magnitude of the gap and the room for improvement.
  • 11. Under-5 proportionate mortality rate : β€’ It is the proportion of total deaths occurring in the under-5 age group. β€’ This rate can be used to reflect both infant and child mortality rates. β€’ In communities with poor hygiene, the proportion may exceed 60 per 1000 live births. β€’ In some European countries, the proportion is less than 2 per 1000 live births. High rate reflects high birth rates, high child mortality rates and shorter life expectancy.
  • 12. Adult mortality rate β€’ The adult mortality rate is defined as the probability of dying between the age of 15 and 60 years per 1000 population. β€’ The adult mortality rate offers a way to analyze health gaps between countries in the main working groups. β€’ The probability of dying in adulthood is greater for men than for women in almost all countries, but the variations between countries is very large. β€’ In Japan, less than 1 in 10 men (and 1 in 20 women) die in these productive age group, compared to almost 2- 3 in 10 men (and 1-2 women) in Angola
  • 13. Maternal (puerperal) mortality rate β€’ Maternal (puerperal) mortality accounts for the greatest proportion of deaths among women of reproductive age in most of the developing world. β€’ There are enormous variations in maternal mortality rate according to country's level of socioeconomic status.
  • 14. Disease-specific mortality rate β€’ Mortality rates can be computed for specific diseases. As countries begin to extricate themselves from the burden of communicable diseases, a number of other indicators such as deaths from cancer, cardiovascular diseases, accidents, diabetes, etc β€’ have emerged as measures of specific disease problems.
  • 15. Proportional mortality rate β€’ The simplest measure of estimating the burden of a disease in the community is proportional mortality rate, i.e. , the proportion of all deaths currently attributed to it. β€’ For example, coronary heart disease is the cause of 25 to 30 per cent of all deaths in most western countries. β€’ The proportional mortality rate from communicable diseases has been suggested as a useful health status indicator; it indicates the magnitude of preventable mortality.
  • 16. Case fatality rate β€’ Case fatality rate measures the risk of persons dying from a certain disease within a given time period. Case fatality rate is calculated as number of deaths from a specific disease during a specific time period divided by number of cases of the disease during the same time period, usually expressed as per 100. β€’ The case fatality rate is used to link mortality to morbidity. One function of the case fatality rate is to measure various aspects or properties of a disease such as its pathogenicity, severity or virulence. β€’ It can also be used in poisonings, chemical exposures or other short-term non- disease cause of death.
  • 17. Years of potential life lost (YPLL) β€’ Years of potential life lost is based on the years of life lost through premature death. It is defined as one that occurs before the age to which a dying person could have expected to survive (before an arbitrary determined age, usually taken age 75 years). β€’ A 30-year-old who dies in a road accident could theoretically have lived to an average life expectancy of 75 years of age; thus 45 years of life are lost.
  • 18. β€’ Mortality indicators represent the traditional measures of health status. Even today they are probably the most often used indirect indicators of health. As infectious diseases have been brought under control, mortality rates have declined to very low levels in many countries. β€’ Consequently, mortality indicators are losing their sensitivity as health indicators in developed countries. However, mortality indicators continue to be used as the starting point in health status evaluation.
  • 19. Formulas and exercises β€’ Crude death rate (CDR)= π‘‡π‘œπ‘‘π‘Žπ‘™ π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘šπ‘–π‘‘ π‘¦π‘’π‘Žπ‘Ÿ π‘π‘œπ‘π‘’π‘™π‘Žπ‘‘π‘–π‘œπ‘› x1000 β€’ Age specific mortality rate (ASMR)= π‘π‘œ.π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘Žπ‘šπ‘œπ‘›π‘” π‘π‘’π‘Ÿπ‘ π‘œπ‘› π‘œπ‘“ π‘‘β„Žπ‘’ 𝑠𝑝𝑒𝑐𝑖𝑓𝑖𝑐 π‘Žπ‘”π‘’ π‘”π‘Ÿπ‘œπ‘’π‘ π‘šπ‘–π‘‘ π‘¦π‘’π‘Žπ‘Ÿ π‘π‘œπ‘π‘’π‘™π‘Žπ‘‘π‘–π‘œπ‘› π‘œπ‘“ π‘‘β„Žπ‘’ 𝑠𝑝𝑒𝑐𝑖𝑓𝑖𝑐 π‘Žπ‘”π‘’ π‘”π‘Ÿπ‘œπ‘’π‘ x1000 β€’ Sex specific mortality rate (SSMR)= π‘π‘œ.π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘Žπ‘šπ‘œπ‘›π‘” π‘π‘’π‘Ÿπ‘ π‘œπ‘› π‘œπ‘“ π‘‘β„Žπ‘’ π‘π‘Žπ‘Ÿπ‘‘π‘–π‘π‘’π‘™π‘Žπ‘Ÿ 𝑠𝑒π‘₯ π‘šπ‘–π‘‘ π‘¦π‘’π‘Žπ‘Ÿ π‘π‘œπ‘π‘’π‘™π‘Žπ‘‘π‘–π‘œπ‘› π‘œπ‘“ π‘Ž π‘π‘Žπ‘Ÿπ‘‘π‘–π‘π‘’π‘™π‘Žπ‘Ÿ 𝑠𝑒π‘₯ x1000 β€’ Cause specific mortality rate (CSMR) = π‘π‘œ.π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑑𝑒𝑒 π‘‘π‘œ π‘Ž 𝑠𝑝𝑒𝑐𝑖𝑓𝑖𝑐 π‘π‘Žπ‘’π‘ π‘’ (π‘‘π‘–π‘ π‘’π‘Žπ‘ π‘’) π‘šπ‘–π‘‘ π‘¦π‘’π‘Žπ‘Ÿ π‘π‘œπ‘π‘’π‘™π‘Žπ‘‘π‘–π‘œπ‘› x1000 β€’ Case fatality rate (CFR)= π‘π‘œ.π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑑𝑒𝑒 π‘‘π‘œ π‘Ž π‘π‘Žπ‘Ÿπ‘‘π‘–π‘π‘’π‘™π‘Žπ‘Ÿ π‘‘π‘–π‘ π‘’π‘Žπ‘ π‘’ π‘π‘œ.π‘œπ‘“ π‘π‘Žπ‘ π‘’π‘  π‘œπ‘“ π‘‘β„Žπ‘Žπ‘‘ π‘π‘Žπ‘Ÿπ‘‘π‘–π‘π‘’π‘™π‘Žπ‘Ÿ π‘‘π‘–π‘ π‘’π‘Žπ‘ π‘’ x100
  • 20. β€’ Proportionate mortality rate= π‘π‘œ.π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑑𝑒𝑒 π‘‘π‘œ π‘Ž π‘π‘Žπ‘Ÿπ‘‘π‘–π‘π‘’π‘™π‘Žπ‘Ÿ π‘‘π‘–π‘ π‘’π‘Žπ‘ π‘’ π‘π‘œ.π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑑𝑒𝑒 π‘‘π‘œ π‘Žπ‘™π‘™ π‘π‘Žπ‘’π‘ π‘’ x100 β€’ Maternal mortality ratio (MMR)= π‘π‘œ.π‘œπ‘“ π‘šπ‘Žπ‘‘π‘’π‘Ÿπ‘›π‘Žπ‘™ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘π‘œ.π‘œπ‘“ 𝑙𝑖𝑣𝑒 π‘π‘–π‘Ÿπ‘‘β„Žπ‘  x100000 β€’ Maternal mortality rate (MMR) = π‘π‘œ.π‘œπ‘“ π‘šπ‘Žπ‘‘π‘’π‘Ÿπ‘›π‘Žπ‘™ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘π‘œ.π‘œπ‘“π‘€π‘œπ‘šπ‘’π‘› π‘œπ‘“ π‘Ÿπ‘’π‘π‘Ÿπ‘œπ‘‘π‘’π‘π‘‘π‘–π‘£π‘’ π‘Žπ‘”π‘’ π‘‘π‘’π‘Ÿπ‘–π‘›π‘” π‘ π‘Žπ‘šπ‘’ π‘‘π‘–π‘šπ‘’ π‘π‘’π‘Ÿπ‘–π‘œπ‘‘ x100000 β€’ Still birth rate (SBR)= π‘π‘œ.π‘œπ‘“ π‘ π‘‘π‘–π‘™π‘™π‘π‘–π‘Ÿπ‘‘β„Žπ‘  (πΏπ‘Žπ‘‘π‘’ π‘“π‘’π‘‘π‘Žπ‘™ π‘‘π‘’π‘Žπ‘‘β„Žπ‘ β‰₯28 π‘€π‘’π‘’π‘˜π‘  π‘œπ‘“ π‘”π‘’π‘ π‘‘π‘Žπ‘‘π‘–π‘œπ‘›π‘Žπ‘™ π‘Žπ‘”π‘’) π‘π‘œ.π‘œπ‘“ 𝑙𝑖𝑣𝑒 π‘π‘–π‘Ÿπ‘‘β„Žπ‘  π‘Žπ‘›π‘‘ 𝑠𝑑𝑖𝑙𝑙 π‘π‘–π‘Ÿπ‘‘β„Žπ‘  x1000 β€’ Perinatal mortality rate (PMR)= π‘π‘œ.π‘œπ‘“ π‘π‘’π‘Ÿπ‘–π‘›π‘Žπ‘‘π‘Žπ‘™ (𝑠𝑑𝑖𝑙𝑙 π‘π‘–π‘Ÿπ‘‘β„Ž π‘Žπ‘›π‘‘ π‘›π‘’π‘œπ‘›π‘Žπ‘‘π‘Žπ‘™ π‘‘π‘’π‘Žπ‘‘β„Žπ‘ ) π‘π‘œ.π‘œπ‘“ 𝑙𝑖𝑣𝑒 π‘π‘–π‘Ÿπ‘‘β„Žπ‘  π‘Žπ‘›π‘‘ 𝑠𝑑𝑖𝑙𝑙 π‘π‘–π‘Ÿπ‘‘β„Žπ‘  x1000
  • 21. β€’ Neonatal mortality rate (NMR)= π‘π‘œ.π‘œπ‘“ π‘–π‘›π‘“π‘Žπ‘›π‘‘ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘‘π‘’π‘Ÿπ‘–π‘›π‘” π‘“π‘–π‘Ÿπ‘ π‘‘ 28 π‘‘π‘Žπ‘¦π‘  π‘œπ‘“ π‘Žπ‘”π‘’) π‘π‘œ.π‘œπ‘“ 𝑙𝑖𝑣𝑒 π‘π‘–π‘Ÿπ‘‘β„Žπ‘  x1000 early, late, post neonatal β€’ Infant mortality rate (IMR)= π‘π‘œ.π‘œπ‘“π‘–π‘›π‘“π‘Žπ‘›π‘‘ 𝑙𝑒𝑠𝑠 π‘‘β„Žπ‘Žπ‘› 1 π‘¦π‘’π‘Žπ‘Ÿ π‘œπ‘“ π‘Žπ‘”π‘’ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘π‘œ.π‘œπ‘“ 𝑙𝑖𝑣𝑒 π‘π‘–π‘Ÿπ‘‘β„Žπ‘  x1000 β€’ Under 5 mortality rate (U5MR)= π‘π‘œ.π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘œπ‘“ π‘β„Žπ‘–π‘™π‘‘π‘Ÿπ‘’π‘› π‘¦π‘œπ‘’π‘›π‘”π‘’π‘Ÿ π‘‘β„Žπ‘Žπ‘› 5 π‘¦π‘’π‘Žπ‘Ÿπ‘  π‘π‘œ.π‘œπ‘“ 𝑙𝑖𝑣𝑒 π‘π‘–π‘Ÿπ‘‘β„Žπ‘  x1000
  • 22. β€’ In a community with mid-year population of 30,000, the total number of males was 15,500 and that of females was 14,500. There were 2900 children in the under-five age group. In total 206 deaths were reported in the same year; of these, 100 were males and 106 were females. There were 42 deaths in children younger than 5 years. β€’ Calculate β€’ CDR and β€’ ASMR for the under-five age group and β€’ specific mortality rates for males and females.
  • 23. β€’ In a town with a mid-year population of 60,000, there were 180 cases of hepatitis B during year 2015. Total 430 deaths occurred in the same year; of these, 17 deaths were due to hepatitis B. β€’ Calculate β€’ CSMR, β€’ proportionate mortality ratio, β€’ CFR of hepatitis B.
  • 24. In a community, with a mid-year population of 136,000, there were 3576 live births in year 2016. β€’ Following were the number of deaths: β€’ No. of fetal deaths (β‰₯28 weeks gestation) = 24 β€’ Deaths in less than 7 days of birth = 39 β€’ Deaths during 7-28 days of birth=34 β€’ Deaths during 29 days to less than 1 year of age = 58 β€’ Maternal deaths = 7 β€’ Deaths in the under-five age group = 170 β€’ Calculate MMR, SBR, PMR, NMR, PNMR, IMR and U5MR.

Editor's Notes

  1. 6.9 deaths per 1000 population 14.5 per 1000 children in the u5age group Ssmr male 6.5 per 1000 male population Ssmr female 7.3 per 1000 female population
  2. 3 deaths per 10000 population 4% 9.4 %
  3. Mmr 196 per 100000 Sbr 6.7 death per 1000 total births Pmr 17.5 death per 1000 total births Nmr 20.4 death per 1000 live births Pnmr 16.2 death per 1000 live births Imr 36.7 death per 1000 live births U5mr 47.5 death per 1000 live births