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Hospital Statistics
Dr. Moh Moh Kyi
Introduction
β€’ In health care, we deal with vast quantities of clinical data
β€’ Hospitals and other types of health care facilities are data rich but
information poor
β€’ Information contains both clinical and financial information
β€’ It is very difficult to look at data in raw form and so, data are summarized
and analyzed
β€’ To monitor the volume of patients treated daily, weekly, monthly, or within
some other specified time frame, these statistics can be used
β€’ The statistics give health care decision-makers the information they need
to plan facilities and to monitor inpatient and outpatient revenue streams
Hospital
β€’ An institution providing medical and surgical
treatment and nursing care for sick or injured people
(Oxford Dictionary)
β€’ An institution that provides medical, surgical, or
psychiatric care and treatment for the sick or the
injured
(Online Dictionary)
Statistics
β€’ the study concerned with
β€’ (1) the collection, organization, summarization and
analysis of data; and
β€’ (2) drawing of inferences about a body of data when
only a part of the data is observed.
β€’ The science of collecting, organizing, presenting,
analyzing, and interpreting data to assist in making
more effective decisions.
Hospital Statistics
β€’ are derived from numerical data collected in the
context of hospital system
β€’ also called health service utilization rates
β€’ as important as vital registrations and notifications of
infectious diseases
β€’ constitute a basic and primary source of information
about diseases prevalent in community
β€’ necessary to plan and control efficient patient
care and efficiently manage the hospital
β€’ also an integral and basic part of the national
statistical program
Provides information on:
β€’ Geographic sources of patients
β€’ Age and sex distribution of different diseases
β€’ Duration of hospital stay
β€’ Distribution of diagnosis
β€’ Association between different diseases
Benefits
β€’ monitor trends and patterns in public hospital activity
β€’ assess effective delivery of care
β€’ support local service planning
β€’ provide the basis for national indicators of clinical quality
β€’ reveal health trends over time
β€’ inform patient choice
β€’ determine fair access to health care
β€’ develop, monitor and evaluate government policy
Drawbacks:
β€’ Provides information on only those patients who seek
medical care, tip of the iceberg, not represent the
population
β€’ Admission policy makes hospital statistics to be highly
selective
β€’ Have no precise boundaries to the catchment area
β€’ Thus, considered as poor guide to estimation of
disease frequency in a community
Hospital Statistics includes two categories (MOH,
Myanmar)
1. Hospital Administrative Statistics
2. Morbidity and Mortality Statistics
Calculated based on medical records, reports and
returns
β€’ Records
1. Admission and discharge
2. History and physical examination
3. Progress notes and treatment record
4. Temperature chart
5. Discharge certificate
6. Anaesthetic record sheet
7. Operation record and postoperative record
8. Daily fluid balance
9. Nursing census
10. Nurse notes and nurse medication records
11. Nurse labor record
12. Nurse progress chart
13. Obstetric history and examination
14. Obstetric inpatient history
15. Labor record
16. Gynaecology history and examination
17. Neonatal record and special care baby unit
18. Neonatal chart
19. Intensive care (IV fluid chart etc.)
20. Laboratory and X ray report backings
β€’ Registers
1. Admission
2. Emergency
3. OPD
4. Inpatient expired
5. Brought death
6. Referred register
7. PMCT register
8. Night report
9. Abortion register
10. Delivery register
11. Operation register
12. DHF register
13. Fumigation register and instrument sterilization
14. RH register
15. Congenital abnormality register
16. PM register
17. PC register
18. CVD register
β€’ Hospital report forms
1. Form I [Monthly hospital return (administrative)]
2. Form II (Monthly general inpatient summary)
3. Form III [Hospital daily record (inpatient)]
4. Outpatient report form
1. Hospital Administrative Statistics
1.1. Response Rate of Hospital Statistics
1.2. Hospital Service
1.3. Surgical Operations, Deliveries, Stillbirths and
Abortions in Hospital
2. Morbidity and Mortality Statistics
2.1. Morbidity and Mortality Patterns of Hospital
(In-patients)
2.2. Outpatient Morbidity
1. Hospital Administrative Statistics
1.1. Response Rate of Hospital Statistics
1.2. Hospital Service
1.2.1. Availability of Hospital Resources
1.2.1.1. No. of sanctioned bed
1.2.1.2. No. of available bed
1.2.1.3. No. of hospital
1.2.2. Availability of Hospital Services
1.2.2.1. Average No. of out-patients per day*
1.2.2.2. Average No. of in-patients per day *
1.2.3. Utilization of Hospital Services
1.2.3.1. Admission Rate (per 1000 pop per year)
1.2.3.2. Percentage of occupancy (based on sanctioned
beds) *
1.2.3.3. Percentage of occupancy (based on available
beds) *
1.2.3.4. Average turnover of patient *
1.2.3.5. Average turnover interval *
1.2.3.6. Average duration of stay *
1.3. Surgical Operations, Deliveries, Stillbirths, Abortions in
Hospital
1.3.1. Surgical Operations
- No. of surgical operations by GA/ Spinal A/ LA/
Other
1.3.2. Total number of Deliveries
- Live birth (total number and percentage out of
total deliveries)
- Stillbirth (total number and percentage out of total
deliveries)
- Abortion (total number and percentage out of total
deliveries)
- Caesarean Section Rate
1.4. Fatality rate *
2. Morbidity and Mortality Statistics
2.1. Morbidity and Mortality Pattern of Hospital (In-patients)
(ICD-10)
2.1.1. Leading grouped causes of morbidity by sex
eg. Certain infectious and parasitic diseases
. Diseases of respiratory system
2.1.2. Single leading causes of morbidity by sex
eg. Malaria
. Single spontaneous delivery
2.1.3. Leading grouped causes of mortality by sex
eg. Certain infectious and parasitic diseases
. Diseases of circulatory system
2.1.4. Single leading causes of mortality by sex
eg. Septicemia
. Heart failure
2.1.5. Mortality Rate
2.1.5.1. Gross death rate
2.1.5.2. Net death rate
2.1.5.3. Postoperative death rate
2.1.5.4. Maternal death rate
2.1.5.5. Infant death rate
2.1.5.6. Neonatal death rate
2.2. Outpatient Morbidity
- Single leading causes of out patient morbidity by sex
(by seasons- summer, rainy and winter)
eg. PUO
- Hypertension
- Asthma
(Remark: * Hospital Administrative Indicators)
Some Definitions
1. Admission
Admission is the acceptance of a patient care
either for investigation or treatment, or both.
2. Discharge
Discharge is the release of an admitted patient
from the hospital at the end of an episode of case.
3. Inpatient
An inpatient is a person who occupies a bed in a
hospital for the purpose of hospital treatment.
Some Definitions (Continued)
4. Outpatient
An outpatient is a patient who receives care without being
admitted to inpatient or resident care.
5. Patient Days or Bed Days
Bed days or patient days is the unit of measure which denotes
in days the service given to a inpatient. A full day is counted when admission
is before midday, or discharge is after midday. The annual bed days is the
total of the daily census of occupied inpatient beds throughout the year, data
for healthy newborn is excluded from the figures.
Some Definitions (Continued)
6. Duration of stay
The number of days of care rendered to inpatients from
admission to discharge. The duration of an inpatient’s hospitalization is
considered to be one day if he is admitted and discharged on the same
day and also if he is admitted on one day and discharged next day.
7. Hospital Death
Hospital death is the death of any admitted patient during
his or her stay in the hospital. It can be divided into two categories,
gross death rate and net death rate.
Some Definitions (Continued)
8. Sanctioned bed (Hospital bed)
Hospital bed is the bed which is staffed and equipped for round the
clock care of patients. It includes observation beds equipped and staffed for
overnights use, and beds used for sick and premature infants.
9. Available beds
The number of beds (both occupied and unoccupied), set-up and
staffed in an inpatient area of a hospital which are immediately available to be used
by inpatients.
10. Average turnover of patient per bed (Bed turnover rate)
It is a measure of hospital utilization. It includes the number of times
each hospital bed changes occupants.
Some required data to calculate Hospital Statistics
1. Population (in catchment area)
2. Total No. of hospital
3. Sanctioned bed
4. Available bed
5. Out patient attendance
6. Admission
7. Discharge
8. Death
9. Patient day [The unit of measure which denotes
in days the service given to in-patient(s)]
(ie. Patient Γ— day)
β€’ Example:
- In a 300 bedded hospital, potential hospitalization
days in a year are 300 Γ— 365 = 109,500
- If actual totaled-up hospitalization days are 98,200
and number of discharges including deaths in that year
are 5,680
β€’ Average Turnover Interval
=
[(Available beds Γ— 365) βˆ’ Patient days]
Number of discharges and deaths
=
109500 βˆ’ 98200
5680
= 1.989 days
It means each bed remained vacant for 2 days in that
year bet. one discharge and next admission.
β€’ Average Turnover Interval
β€’ zero means bed occupancy is 100%
β€’ negative means shortage of bed in hospital
β€’ positive means under use of hospital or inefficient
admission system
β€’ If it is > 2 , interval is very high and low demand and
defective admission policy
β€’ Ideally, it should be 0.5 day
β€’ In order to be meaningful, it should be calculated
separately ward-wise and speciality-wise
Hospital Administrative Indicators
π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’ π‘›π‘œ. π‘œπ‘“ π‘œπ‘’π‘‘π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  π‘π‘’π‘Ÿ π‘‘π‘Žπ‘¦ =
π‘‡π‘œπ‘‘π‘Žπ‘™ π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘œπ‘’π‘‘π‘π‘Žπ‘‘π‘–π‘’π‘‘π‘  π‘Žπ‘‘π‘‘π‘’π‘›π‘‘π‘Žπ‘›π‘π‘’π‘ 
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘€π‘œπ‘Ÿπ‘˜π‘–π‘›π‘” π‘‘π‘Žπ‘¦π‘  𝑖𝑛 π‘¦π‘’π‘Žπ‘Ÿ
π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’ π‘›π‘œ. π‘œπ‘“ π‘–π‘›π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  π‘π‘’π‘Ÿ π‘‘π‘Žπ‘¦ =
π‘‡π‘œπ‘‘π‘Žπ‘™ π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  π‘‘π‘Žπ‘¦π‘ 
365 (π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘Žπ‘¦π‘  𝑖𝑛 π‘¦π‘’π‘Žπ‘Ÿ)
π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’ π‘‘π‘’π‘Ÿπ‘Žπ‘‘π‘–π‘œπ‘› π‘œπ‘“ π‘ π‘‘π‘Žπ‘¦ =
π‘‡π‘œπ‘‘π‘Žπ‘™ π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  π‘‘π‘Žπ‘¦π‘ 
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘–π‘ π‘β„Žπ‘Žπ‘Ÿπ‘”π‘’π‘  & π‘‘π‘’π‘Žπ‘‘β„Žπ‘ 
π‘ƒπ‘’π‘Ÿπ‘π‘’π‘›π‘‘π‘Žπ‘”π‘’ π‘œπ‘“ π‘œπ‘π‘π‘’π‘π‘Žπ‘›π‘π‘¦ =
π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’ π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘–π‘›π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  π‘π‘’π‘Ÿ π‘‘π‘Žπ‘¦ Γ—100
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘Žπ‘£π‘Žπ‘–π‘™π‘Žπ‘π‘™π‘’ 𝑏𝑒𝑑𝑠
π‘π‘Žπ‘ π‘’π‘‘ π‘œπ‘› π‘Žπ‘£π‘Žπ‘–π‘™π‘Žπ‘π‘™π‘’ 𝑏𝑒𝑑𝑠
Hospital Administrative Indicators (continued)
π‘ƒπ‘’π‘Ÿπ‘π‘’π‘›π‘‘π‘Žπ‘”π‘’ π‘œπ‘“ π‘œπ‘π‘π‘’π‘π‘Žπ‘›π‘π‘¦ =
π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’ π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘–π‘›π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  π‘π‘’π‘Ÿ π‘‘π‘Žπ‘¦ Γ—100
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘ π‘Žπ‘›π‘π‘‘π‘–π‘œπ‘›π‘’π‘‘ 𝑏𝑒𝑑𝑠
π‘π‘Žπ‘ π‘’π‘‘ π‘œπ‘› π‘ π‘Žπ‘›π‘π‘‘π‘–π‘œπ‘›π‘’π‘‘ 𝑏𝑒𝑑𝑠
π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’ π‘‘π‘’π‘Ÿπ‘›π‘œπ‘£π‘’π‘Ÿ π‘œπ‘“ π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘ =
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘–π‘ π‘β„Žπ‘Žπ‘Ÿπ‘”π‘’π‘  & π‘‘π‘’π‘Žπ‘‘β„Žπ‘ 
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘Žπ‘£π‘Žπ‘–π‘™π‘Žπ‘π‘™π‘’ 𝑏𝑒𝑑𝑠
π‘π‘’π‘Ÿ 𝑏𝑒𝑑 π‘π‘’π‘Ÿ π‘¦π‘’π‘Žπ‘Ÿ
π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’ π‘‘π‘’π‘Ÿπ‘›π‘œπ‘£π‘’π‘Ÿ π‘–π‘›π‘‘π‘’π‘Ÿπ‘£π‘Žπ‘™ (𝑖𝑛 π‘‘π‘Žπ‘¦π‘ )
=
[(π΄π‘£π‘Žπ‘–π‘™π‘Žπ‘π‘™π‘’ 𝑏𝑒𝑑𝑠 Γ— 365) βˆ’ π‘π‘Žπ‘‘π‘–π‘’π‘‘π‘  π‘‘π‘Žπ‘¦π‘ ]
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘–π‘ π‘β„Žπ‘Žπ‘Ÿπ‘”π‘’π‘  & π‘‘π‘’π‘Žπ‘‘β„Žπ‘ 
π»π‘œπ‘ π‘π‘–π‘‘π‘Žπ‘™ π·π‘’π‘Žπ‘‘β„Ž π‘Ÿπ‘Žπ‘‘π‘’ =
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  Γ— 100
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘–π‘ π‘β„Žπ‘Žπ‘Ÿπ‘”π‘’π‘  & π‘‘π‘’π‘Žπ‘‘β„Žπ‘ 
Mortality rate
πΊπ‘Ÿπ‘œπ‘ π‘  π·π‘’π‘Žπ‘‘β„Ž π‘…π‘Žπ‘‘π‘’ =
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘Žπ‘™π‘™ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑖𝑛 π‘Ž π‘π‘’π‘Ÿπ‘–π‘œπ‘‘ Γ— 100
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘–π‘ π‘β„Žπ‘Žπ‘Ÿπ‘”π‘’π‘  π‘Žπ‘›π‘‘ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑖𝑛 π‘‘β„Žπ‘’ π‘π‘’π‘Ÿπ‘–π‘œπ‘‘
𝑁𝑒𝑑 π·π‘’π‘Žπ‘‘β„Ž π‘…π‘Žπ‘‘π‘’ =
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘œπ‘π‘π‘’π‘Ÿπ‘–π‘›π‘” 48 β„Žπ‘Ÿπ‘  π‘œπ‘Ÿ π‘™π‘Žπ‘‘π‘’π‘Ÿ Γ— 100
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘–π‘ π‘β„Žπ‘Žπ‘Ÿπ‘”π‘’π‘  π‘Žπ‘›π‘‘ π‘‘π‘’π‘Žπ‘‘β„Žπ‘ 
( some countries use 24 hrs in stead of 48 hrs )
π‘ƒπ‘œπ‘ π‘‘π‘œπ‘π‘’π‘Ÿπ‘Žπ‘‘π‘–π‘£π‘’ π·π‘’π‘Žπ‘‘β„Ž π‘…π‘Žπ‘‘π‘’
=
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘π‘œπ‘ π‘‘π‘œπ‘π‘’π‘Ÿπ‘Žπ‘‘π‘–π‘£π‘’ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑖𝑛 π‘Ž π‘π‘’π‘Ÿπ‘–π‘œπ‘‘ Γ— 100
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  π‘œπ‘π‘’π‘Ÿπ‘Žπ‘‘π‘’π‘‘ π‘‘π‘’π‘Ÿπ‘–π‘›π‘” π‘‘β„Žπ‘’ π‘π‘’π‘Ÿπ‘–π‘œπ‘‘
Mortality rate
π‘€π‘Žπ‘‘π‘’π‘Ÿπ‘›π‘Žπ‘™ π·π‘’π‘Žπ‘‘β„Ž π‘…π‘Žπ‘‘π‘’
=
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘œπ‘“ π‘œπ‘π‘ π‘‘π‘’π‘‘π‘Ÿπ‘–π‘π‘Žπ‘™ π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  Γ— 100
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘–π‘ π‘β„Žπ‘Žπ‘Ÿπ‘”π‘’π‘  π‘Žπ‘›π‘‘ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘œπ‘“ π‘œπ‘π‘ π‘‘π‘’π‘‘π‘Ÿπ‘–π‘π‘Žπ‘™ π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘ 
πΌπ‘›π‘“π‘Žπ‘›π‘‘ π·π‘’π‘Žπ‘‘β„Ž π‘…π‘Žπ‘‘π‘’
=
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘œπ‘“ π‘–π‘›π‘“π‘Žπ‘›π‘‘π‘  π‘π‘œπ‘Ÿπ‘› 𝑖𝑛 β„Žπ‘œπ‘ π‘π‘–π‘‘π‘Žπ‘™ Γ— 100
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘£π‘–π‘Žπ‘π‘™π‘’ π‘›π‘’π‘€π‘π‘œπ‘Ÿπ‘› π‘–π‘›π‘“π‘Žπ‘›π‘‘π‘  𝑖𝑛𝑐𝑙𝑒𝑑𝑖𝑛𝑔 π‘‘π‘’π‘Žπ‘‘β„Žπ‘ 
π‘π‘’π‘œπ‘›π‘Žπ‘‘π‘Žπ‘™ π·π‘’π‘Žπ‘‘β„Ž π‘…π‘Žπ‘‘π‘’
=
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘–π‘›π‘“π‘Žπ‘›π‘‘ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑖𝑛 28 π‘‘π‘Žπ‘¦π‘  π‘œπ‘Ÿ π‘π‘–π‘Ÿπ‘‘β„Ž Γ— 100
π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘£π‘–π‘Žπ‘π‘™π‘’ π‘›π‘’π‘€π‘π‘œπ‘Ÿπ‘› π‘–π‘›π‘“π‘Žπ‘›π‘‘π‘  π‘‘π‘–π‘ π‘β„Žπ‘Žπ‘Ÿπ‘”π‘’π‘‘ 𝑖𝑛𝑐𝑙𝑒𝑑𝑖𝑛𝑔 π‘‘π‘’π‘Žπ‘‘β„Žπ‘ 
Hospital Administrative Indicators of YCH by year
Indicators 2010 2011 2012 2013 2014
Average no. of outpatient per day 585 469 561 354 369
Average no. of inpatient per day 152 142 158 162 227
Average duration of stay 7.66 7.82 8.14 6.43 7.22
% of occupancy based on available beds 88.6 67.75 80.09 49.34 49.24
% of occupancy based on sanctioned beds 106.32 85.11 101.93 64.33 66.97
Average turnover of patients per bed per year 42 32 36 28 25
Average turnover interval (in days) 0.99 3.72 2.02 6.6 7.44
Fatality rate per 1000 discharges and deaths 29 32 28 24 23
Source: Su-Su-Hlaing, β€œHospital Administrative Indicators of YCH”, 2015
β€’THANK YOU

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Hopital stat

  • 2. Introduction β€’ In health care, we deal with vast quantities of clinical data β€’ Hospitals and other types of health care facilities are data rich but information poor β€’ Information contains both clinical and financial information β€’ It is very difficult to look at data in raw form and so, data are summarized and analyzed β€’ To monitor the volume of patients treated daily, weekly, monthly, or within some other specified time frame, these statistics can be used β€’ The statistics give health care decision-makers the information they need to plan facilities and to monitor inpatient and outpatient revenue streams
  • 3. Hospital β€’ An institution providing medical and surgical treatment and nursing care for sick or injured people (Oxford Dictionary) β€’ An institution that provides medical, surgical, or psychiatric care and treatment for the sick or the injured (Online Dictionary)
  • 4. Statistics β€’ the study concerned with β€’ (1) the collection, organization, summarization and analysis of data; and β€’ (2) drawing of inferences about a body of data when only a part of the data is observed. β€’ The science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making more effective decisions.
  • 5. Hospital Statistics β€’ are derived from numerical data collected in the context of hospital system β€’ also called health service utilization rates β€’ as important as vital registrations and notifications of infectious diseases
  • 6. β€’ constitute a basic and primary source of information about diseases prevalent in community β€’ necessary to plan and control efficient patient care and efficiently manage the hospital β€’ also an integral and basic part of the national statistical program
  • 7. Provides information on: β€’ Geographic sources of patients β€’ Age and sex distribution of different diseases β€’ Duration of hospital stay β€’ Distribution of diagnosis β€’ Association between different diseases
  • 8. Benefits β€’ monitor trends and patterns in public hospital activity β€’ assess effective delivery of care β€’ support local service planning β€’ provide the basis for national indicators of clinical quality β€’ reveal health trends over time β€’ inform patient choice β€’ determine fair access to health care β€’ develop, monitor and evaluate government policy
  • 9. Drawbacks: β€’ Provides information on only those patients who seek medical care, tip of the iceberg, not represent the population β€’ Admission policy makes hospital statistics to be highly selective β€’ Have no precise boundaries to the catchment area β€’ Thus, considered as poor guide to estimation of disease frequency in a community
  • 10. Hospital Statistics includes two categories (MOH, Myanmar) 1. Hospital Administrative Statistics 2. Morbidity and Mortality Statistics Calculated based on medical records, reports and returns
  • 11. β€’ Records 1. Admission and discharge 2. History and physical examination 3. Progress notes and treatment record 4. Temperature chart 5. Discharge certificate 6. Anaesthetic record sheet 7. Operation record and postoperative record 8. Daily fluid balance 9. Nursing census 10. Nurse notes and nurse medication records 11. Nurse labor record 12. Nurse progress chart 13. Obstetric history and examination
  • 12. 14. Obstetric inpatient history 15. Labor record 16. Gynaecology history and examination 17. Neonatal record and special care baby unit 18. Neonatal chart 19. Intensive care (IV fluid chart etc.) 20. Laboratory and X ray report backings
  • 13. β€’ Registers 1. Admission 2. Emergency 3. OPD 4. Inpatient expired 5. Brought death 6. Referred register 7. PMCT register 8. Night report 9. Abortion register 10. Delivery register 11. Operation register 12. DHF register 13. Fumigation register and instrument sterilization
  • 14. 14. RH register 15. Congenital abnormality register 16. PM register 17. PC register 18. CVD register
  • 15. β€’ Hospital report forms 1. Form I [Monthly hospital return (administrative)] 2. Form II (Monthly general inpatient summary) 3. Form III [Hospital daily record (inpatient)] 4. Outpatient report form
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  • 20. 1. Hospital Administrative Statistics 1.1. Response Rate of Hospital Statistics 1.2. Hospital Service 1.3. Surgical Operations, Deliveries, Stillbirths and Abortions in Hospital
  • 21. 2. Morbidity and Mortality Statistics 2.1. Morbidity and Mortality Patterns of Hospital (In-patients) 2.2. Outpatient Morbidity
  • 22. 1. Hospital Administrative Statistics 1.1. Response Rate of Hospital Statistics 1.2. Hospital Service 1.2.1. Availability of Hospital Resources 1.2.1.1. No. of sanctioned bed 1.2.1.2. No. of available bed 1.2.1.3. No. of hospital 1.2.2. Availability of Hospital Services 1.2.2.1. Average No. of out-patients per day* 1.2.2.2. Average No. of in-patients per day *
  • 23. 1.2.3. Utilization of Hospital Services 1.2.3.1. Admission Rate (per 1000 pop per year) 1.2.3.2. Percentage of occupancy (based on sanctioned beds) * 1.2.3.3. Percentage of occupancy (based on available beds) * 1.2.3.4. Average turnover of patient * 1.2.3.5. Average turnover interval * 1.2.3.6. Average duration of stay *
  • 24. 1.3. Surgical Operations, Deliveries, Stillbirths, Abortions in Hospital 1.3.1. Surgical Operations - No. of surgical operations by GA/ Spinal A/ LA/ Other 1.3.2. Total number of Deliveries - Live birth (total number and percentage out of total deliveries) - Stillbirth (total number and percentage out of total deliveries) - Abortion (total number and percentage out of total deliveries) - Caesarean Section Rate 1.4. Fatality rate *
  • 25. 2. Morbidity and Mortality Statistics 2.1. Morbidity and Mortality Pattern of Hospital (In-patients) (ICD-10) 2.1.1. Leading grouped causes of morbidity by sex eg. Certain infectious and parasitic diseases . Diseases of respiratory system 2.1.2. Single leading causes of morbidity by sex eg. Malaria . Single spontaneous delivery 2.1.3. Leading grouped causes of mortality by sex eg. Certain infectious and parasitic diseases . Diseases of circulatory system 2.1.4. Single leading causes of mortality by sex eg. Septicemia . Heart failure
  • 26.
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  • 28. 2.1.5. Mortality Rate 2.1.5.1. Gross death rate 2.1.5.2. Net death rate 2.1.5.3. Postoperative death rate 2.1.5.4. Maternal death rate 2.1.5.5. Infant death rate 2.1.5.6. Neonatal death rate
  • 29. 2.2. Outpatient Morbidity - Single leading causes of out patient morbidity by sex (by seasons- summer, rainy and winter) eg. PUO - Hypertension - Asthma (Remark: * Hospital Administrative Indicators)
  • 30. Some Definitions 1. Admission Admission is the acceptance of a patient care either for investigation or treatment, or both. 2. Discharge Discharge is the release of an admitted patient from the hospital at the end of an episode of case. 3. Inpatient An inpatient is a person who occupies a bed in a hospital for the purpose of hospital treatment.
  • 31. Some Definitions (Continued) 4. Outpatient An outpatient is a patient who receives care without being admitted to inpatient or resident care. 5. Patient Days or Bed Days Bed days or patient days is the unit of measure which denotes in days the service given to a inpatient. A full day is counted when admission is before midday, or discharge is after midday. The annual bed days is the total of the daily census of occupied inpatient beds throughout the year, data for healthy newborn is excluded from the figures.
  • 32. Some Definitions (Continued) 6. Duration of stay The number of days of care rendered to inpatients from admission to discharge. The duration of an inpatient’s hospitalization is considered to be one day if he is admitted and discharged on the same day and also if he is admitted on one day and discharged next day. 7. Hospital Death Hospital death is the death of any admitted patient during his or her stay in the hospital. It can be divided into two categories, gross death rate and net death rate.
  • 33. Some Definitions (Continued) 8. Sanctioned bed (Hospital bed) Hospital bed is the bed which is staffed and equipped for round the clock care of patients. It includes observation beds equipped and staffed for overnights use, and beds used for sick and premature infants. 9. Available beds The number of beds (both occupied and unoccupied), set-up and staffed in an inpatient area of a hospital which are immediately available to be used by inpatients. 10. Average turnover of patient per bed (Bed turnover rate) It is a measure of hospital utilization. It includes the number of times each hospital bed changes occupants.
  • 34. Some required data to calculate Hospital Statistics 1. Population (in catchment area) 2. Total No. of hospital 3. Sanctioned bed 4. Available bed 5. Out patient attendance 6. Admission 7. Discharge 8. Death 9. Patient day [The unit of measure which denotes in days the service given to in-patient(s)] (ie. Patient Γ— day)
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  • 44. β€’ Example: - In a 300 bedded hospital, potential hospitalization days in a year are 300 Γ— 365 = 109,500 - If actual totaled-up hospitalization days are 98,200 and number of discharges including deaths in that year are 5,680 β€’ Average Turnover Interval = [(Available beds Γ— 365) βˆ’ Patient days] Number of discharges and deaths = 109500 βˆ’ 98200 5680 = 1.989 days It means each bed remained vacant for 2 days in that year bet. one discharge and next admission.
  • 45. β€’ Average Turnover Interval β€’ zero means bed occupancy is 100% β€’ negative means shortage of bed in hospital β€’ positive means under use of hospital or inefficient admission system β€’ If it is > 2 , interval is very high and low demand and defective admission policy β€’ Ideally, it should be 0.5 day β€’ In order to be meaningful, it should be calculated separately ward-wise and speciality-wise
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  • 52. Hospital Administrative Indicators π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’ π‘›π‘œ. π‘œπ‘“ π‘œπ‘’π‘‘π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  π‘π‘’π‘Ÿ π‘‘π‘Žπ‘¦ = π‘‡π‘œπ‘‘π‘Žπ‘™ π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘œπ‘’π‘‘π‘π‘Žπ‘‘π‘–π‘’π‘‘π‘  π‘Žπ‘‘π‘‘π‘’π‘›π‘‘π‘Žπ‘›π‘π‘’π‘  π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘€π‘œπ‘Ÿπ‘˜π‘–π‘›π‘” π‘‘π‘Žπ‘¦π‘  𝑖𝑛 π‘¦π‘’π‘Žπ‘Ÿ π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’ π‘›π‘œ. π‘œπ‘“ π‘–π‘›π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  π‘π‘’π‘Ÿ π‘‘π‘Žπ‘¦ = π‘‡π‘œπ‘‘π‘Žπ‘™ π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  π‘‘π‘Žπ‘¦π‘  365 (π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘Žπ‘¦π‘  𝑖𝑛 π‘¦π‘’π‘Žπ‘Ÿ) π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’ π‘‘π‘’π‘Ÿπ‘Žπ‘‘π‘–π‘œπ‘› π‘œπ‘“ π‘ π‘‘π‘Žπ‘¦ = π‘‡π‘œπ‘‘π‘Žπ‘™ π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  π‘‘π‘Žπ‘¦π‘  π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘–π‘ π‘β„Žπ‘Žπ‘Ÿπ‘”π‘’π‘  & π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘ƒπ‘’π‘Ÿπ‘π‘’π‘›π‘‘π‘Žπ‘”π‘’ π‘œπ‘“ π‘œπ‘π‘π‘’π‘π‘Žπ‘›π‘π‘¦ = π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’ π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘–π‘›π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  π‘π‘’π‘Ÿ π‘‘π‘Žπ‘¦ Γ—100 π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘Žπ‘£π‘Žπ‘–π‘™π‘Žπ‘π‘™π‘’ 𝑏𝑒𝑑𝑠 π‘π‘Žπ‘ π‘’π‘‘ π‘œπ‘› π‘Žπ‘£π‘Žπ‘–π‘™π‘Žπ‘π‘™π‘’ 𝑏𝑒𝑑𝑠
  • 53. Hospital Administrative Indicators (continued) π‘ƒπ‘’π‘Ÿπ‘π‘’π‘›π‘‘π‘Žπ‘”π‘’ π‘œπ‘“ π‘œπ‘π‘π‘’π‘π‘Žπ‘›π‘π‘¦ = π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’ π‘›π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘–π‘›π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  π‘π‘’π‘Ÿ π‘‘π‘Žπ‘¦ Γ—100 π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘ π‘Žπ‘›π‘π‘‘π‘–π‘œπ‘›π‘’π‘‘ 𝑏𝑒𝑑𝑠 π‘π‘Žπ‘ π‘’π‘‘ π‘œπ‘› π‘ π‘Žπ‘›π‘π‘‘π‘–π‘œπ‘›π‘’π‘‘ 𝑏𝑒𝑑𝑠 π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’ π‘‘π‘’π‘Ÿπ‘›π‘œπ‘£π‘’π‘Ÿ π‘œπ‘“ π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘ = π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘–π‘ π‘β„Žπ‘Žπ‘Ÿπ‘”π‘’π‘  & π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘Žπ‘£π‘Žπ‘–π‘™π‘Žπ‘π‘™π‘’ 𝑏𝑒𝑑𝑠 π‘π‘’π‘Ÿ 𝑏𝑒𝑑 π‘π‘’π‘Ÿ π‘¦π‘’π‘Žπ‘Ÿ π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’ π‘‘π‘’π‘Ÿπ‘›π‘œπ‘£π‘’π‘Ÿ π‘–π‘›π‘‘π‘’π‘Ÿπ‘£π‘Žπ‘™ (𝑖𝑛 π‘‘π‘Žπ‘¦π‘ ) = [(π΄π‘£π‘Žπ‘–π‘™π‘Žπ‘π‘™π‘’ 𝑏𝑒𝑑𝑠 Γ— 365) βˆ’ π‘π‘Žπ‘‘π‘–π‘’π‘‘π‘  π‘‘π‘Žπ‘¦π‘ ] π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘–π‘ π‘β„Žπ‘Žπ‘Ÿπ‘”π‘’π‘  & π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π»π‘œπ‘ π‘π‘–π‘‘π‘Žπ‘™ π·π‘’π‘Žπ‘‘β„Ž π‘Ÿπ‘Žπ‘‘π‘’ = π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  Γ— 100 π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘–π‘ π‘β„Žπ‘Žπ‘Ÿπ‘”π‘’π‘  & π‘‘π‘’π‘Žπ‘‘β„Žπ‘ 
  • 54. Mortality rate πΊπ‘Ÿπ‘œπ‘ π‘  π·π‘’π‘Žπ‘‘β„Ž π‘…π‘Žπ‘‘π‘’ = π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘Žπ‘™π‘™ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑖𝑛 π‘Ž π‘π‘’π‘Ÿπ‘–π‘œπ‘‘ Γ— 100 π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘–π‘ π‘β„Žπ‘Žπ‘Ÿπ‘”π‘’π‘  π‘Žπ‘›π‘‘ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑖𝑛 π‘‘β„Žπ‘’ π‘π‘’π‘Ÿπ‘–π‘œπ‘‘ 𝑁𝑒𝑑 π·π‘’π‘Žπ‘‘β„Ž π‘…π‘Žπ‘‘π‘’ = π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘œπ‘π‘π‘’π‘Ÿπ‘–π‘›π‘” 48 β„Žπ‘Ÿπ‘  π‘œπ‘Ÿ π‘™π‘Žπ‘‘π‘’π‘Ÿ Γ— 100 π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘–π‘ π‘β„Žπ‘Žπ‘Ÿπ‘”π‘’π‘  π‘Žπ‘›π‘‘ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  ( some countries use 24 hrs in stead of 48 hrs ) π‘ƒπ‘œπ‘ π‘‘π‘œπ‘π‘’π‘Ÿπ‘Žπ‘‘π‘–π‘£π‘’ π·π‘’π‘Žπ‘‘β„Ž π‘…π‘Žπ‘‘π‘’ = π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘π‘œπ‘ π‘‘π‘œπ‘π‘’π‘Ÿπ‘Žπ‘‘π‘–π‘£π‘’ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑖𝑛 π‘Ž π‘π‘’π‘Ÿπ‘–π‘œπ‘‘ Γ— 100 π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  π‘œπ‘π‘’π‘Ÿπ‘Žπ‘‘π‘’π‘‘ π‘‘π‘’π‘Ÿπ‘–π‘›π‘” π‘‘β„Žπ‘’ π‘π‘’π‘Ÿπ‘–π‘œπ‘‘
  • 55. Mortality rate π‘€π‘Žπ‘‘π‘’π‘Ÿπ‘›π‘Žπ‘™ π·π‘’π‘Žπ‘‘β„Ž π‘…π‘Žπ‘‘π‘’ = π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘œπ‘“ π‘œπ‘π‘ π‘‘π‘’π‘‘π‘Ÿπ‘–π‘π‘Žπ‘™ π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  Γ— 100 π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘–π‘ π‘β„Žπ‘Žπ‘Ÿπ‘”π‘’π‘  π‘Žπ‘›π‘‘ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘œπ‘“ π‘œπ‘π‘ π‘‘π‘’π‘‘π‘Ÿπ‘–π‘π‘Žπ‘™ π‘π‘Žπ‘‘π‘–π‘’π‘›π‘‘π‘  πΌπ‘›π‘“π‘Žπ‘›π‘‘ π·π‘’π‘Žπ‘‘β„Ž π‘…π‘Žπ‘‘π‘’ = π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘œπ‘“ π‘–π‘›π‘“π‘Žπ‘›π‘‘π‘  π‘π‘œπ‘Ÿπ‘› 𝑖𝑛 β„Žπ‘œπ‘ π‘π‘–π‘‘π‘Žπ‘™ Γ— 100 π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘£π‘–π‘Žπ‘π‘™π‘’ π‘›π‘’π‘€π‘π‘œπ‘Ÿπ‘› π‘–π‘›π‘“π‘Žπ‘›π‘‘π‘  𝑖𝑛𝑐𝑙𝑒𝑑𝑖𝑛𝑔 π‘‘π‘’π‘Žπ‘‘β„Žπ‘  π‘π‘’π‘œπ‘›π‘Žπ‘‘π‘Žπ‘™ π·π‘’π‘Žπ‘‘β„Ž π‘…π‘Žπ‘‘π‘’ = π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘–π‘›π‘“π‘Žπ‘›π‘‘ π‘‘π‘’π‘Žπ‘‘β„Žπ‘  𝑖𝑛 28 π‘‘π‘Žπ‘¦π‘  π‘œπ‘Ÿ π‘π‘–π‘Ÿπ‘‘β„Ž Γ— 100 π‘π‘’π‘šπ‘π‘’π‘Ÿ π‘œπ‘“ π‘£π‘–π‘Žπ‘π‘™π‘’ π‘›π‘’π‘€π‘π‘œπ‘Ÿπ‘› π‘–π‘›π‘“π‘Žπ‘›π‘‘π‘  π‘‘π‘–π‘ π‘β„Žπ‘Žπ‘Ÿπ‘”π‘’π‘‘ 𝑖𝑛𝑐𝑙𝑒𝑑𝑖𝑛𝑔 π‘‘π‘’π‘Žπ‘‘β„Žπ‘ 
  • 56. Hospital Administrative Indicators of YCH by year Indicators 2010 2011 2012 2013 2014 Average no. of outpatient per day 585 469 561 354 369 Average no. of inpatient per day 152 142 158 162 227 Average duration of stay 7.66 7.82 8.14 6.43 7.22 % of occupancy based on available beds 88.6 67.75 80.09 49.34 49.24 % of occupancy based on sanctioned beds 106.32 85.11 101.93 64.33 66.97 Average turnover of patients per bed per year 42 32 36 28 25 Average turnover interval (in days) 0.99 3.72 2.02 6.6 7.44 Fatality rate per 1000 discharges and deaths 29 32 28 24 23 Source: Su-Su-Hlaing, β€œHospital Administrative Indicators of YCH”, 2015