LEARNING OBJECTIVES
Tounderstand the how vital statistics are
used in Public Health
To understand the measures of mortality,
fertility, morbidity that are based on vital
statistics
SOURCES OF VITALSTATISTICS
Census
Registration of Vital Events
Morbidity Surveys
6.
RATE, PER CENT,RATIO AND
PROPORTION
Rate:
The number of events in a specified period divided by the
population at risk of these events
multiplied by (k) a constant. The numerator is a part of the
denominator:
a
Rate = —— X k
a* b
a = positive cases b = negative cases
k = a constant to get a whole number to avoid fractions: e.g.
100, 1000, 10.000
7.
RATE, PER CENT,RATIO AND
PROPORTION
Percent:
If k = 100, the rate will be a percent
Ratio:
The ratio expresses the frequency of
occurrence of a specified event in relation to a
second event = a/b
e.g males/females
8.
RATE, PER CENT,RATIO AND
PROPORTION
Proportion:
The proportion describes the number of cases
with a particular characteristic expressed as a
portion of all cases. It is a type of ratio in which
the event in the numerator is also represented
in the denominator = A/(A+B).
9.
MORTALITY RATES (DEATHRATES)
computed for an entire population
1) Crude death rates (CDR):
Total number of deaths in certain area and year X 1000
--------------------------------------------------------------------------
Mid-year population in the same area and year
Crude death rate in Egypt in 2014 was 4.77/1000
population
Example:
In a governorate, Yr - population: 5000; deaths: 25
Crude Death Rate = 25/5000 x 1000
5 deaths per 1000 per year
11.
……………..
Example:
Country,Yr - age group: 25-34 yrs; population:
5,000,000; deaths: 200,000
Age-specific death rate= 200,000/5,000,000 x 1000
= 40 deaths per 1000 population per year for age
group 25-34
14.
CAUSE SPECIFIC MORTALITYRATE
No. of deaths from a certain cause in a certain
area and year x100000
--------------------------------------------------------------------------------
Mid-year population in the same area and year
Example:
Country, Yr - cause: accidents; population: 5,000,000; deaths:
4,000
Cause-specific death rate= 4,000/5,000,000 x 100,000
= 80 accidental deaths per 100,000 population per year
15.
PROPORTIONATE MORTALITY RATE
No.of deaths from a certain cause in a certain area and
year x 1000
---------------------------------------------------------------------------------
No. of deaths from all causes in the same area and year
Example:
Country, Yr - total deaths from all causes: 1,500,000;
deaths from cancer: 675,000
Proportional mortality ratio= 675,000/1,500,000 x 100
= 45% of total deaths per year from cancer
17.
CASE FATALITY RATE:
No.of deaths from a certain disease in a certain
area and year X 100
-----------------------------------------------------------------------------------
No. of notified cases in the same area and year
Example:
Country, Yr - report number of male AIDS cases: 45,000;
deaths from the disease: 37,000.
Case-fatality proportion: 37,000/45,000 x 100
= 82.2% mortality among reported cases of AIDS
18.
INFANT
MORTALITY
AGE AT DEATH
FromTo
Stillbirth pregnancy week 28 Birth
Perinatal pregnancy week 28 1 week
Neonatal Birth 4 weeks
Early neonatal
Late neonatal
Birth1 week 1 week
4 weeks
Post neonatal 4 weeks 1 year
INFANT MORTALITY RATE
No.of deaths of infants (0-1 year) in a certain
area and year x 1000
---------------------------------------------------------------------------------
No. of live births in the same area and year
Example:
State, Yr - live births: 325,000; infant deaths: 1,750
Infant mortality= 1,750/325,000 x 1000
= 5.4 infant deaths per 1000 live births per year
21.
NEONATAL MORTALITY RATE
No.of deaths of infants (0-1 m) in a certain area and year x
1000
---------------------------------------------------------------------------------
No. of live births in the same area and year
Example:
State, Yr - deaths at <28 days=2,750; live births:
325,000
Neonatal mortality proportion= 2,750/325,000 x 1000
= 8.5 neonatal deaths per 1000 live births
22.
POST NEONATAL MORTALITYRATE
No. of deaths of infants (1 m-1y) in a certain area
and year x 1000
---------------------------------------------------------------------------------
No. of live births in the same area and year
23.
STILL BIRTH RATE(FOETAL DEATH
RATIO)
No. of fetal deaths (28 w pregnancy or more) in a
certain area and year x 1000
---------------------------------------------------------------------------------
No. of total births (live and still) in the same area and year
Example:
State, Yr - fetal deaths: 2,450; live births: 525,000
Fetal death ratio = 2,450/525,000 x 1000
= 4.7 fetal deaths per 1000 live births
24.
PERI-NATAL MORTALITY RATE
No.of deaths in the peri-natal period (28 w pregnancy to 1
w after birth) in a certain area and year x 1000
---------------------------------------------------------------------------------
No. of total births (live and still) in the same area and year
Example:
State, Yr - fetal deaths: 3,250; neonatal deaths in the 1st
week
After labour: 5,750;
live births: 475,000
Perinatal mortality proportion= 3,250+5,750/475,000+
3,250 x 1000
= 18.8 perinatal deaths per 1000 fetal deaths plus live births
25.
UNDER 5 MORTALITYRATE
No. of deaths of children (1-5 years) in a certain
area and year x 1000
---------------------------------------------------------------------------
No. of population of the same age, area and year
26.
MATERNAL MORTALITY
No. ofdeaths of mothers due to pregnancy, labour
and puerperium X100,000
------------------------------------------------------------------------------
No. of live births in the same area and year
Example:
Country, Yr - deaths due to puerperal causes: 275; live births:
1,750,000.
Maternal mortality ratio: 275/1,750,000 x 100,000
= 15.71 maternal deaths per 100,000 live births per year
27.
Measure Numerator Denominator
Expressedper
number at Risk (10
Crude Mortality Rate Total number of deaths reported during a
given year
Estimated mid-year
population 1,000 or 100,000
Cause-specific Mortality
Rate
No of deaths assigned to a specific
cause during a given year time interval Estimated mid-year
population
100,000
Proportion ate Mortality
Ratio
No of deaths assigned to a specific
cause during a given year
Total number of deaths from all
causes during the same year
100 or 1,000
Case-fatality Rate No of deaths assigned to a specific
disease during a given in a period of
time
No of diagnosed cases of that
disease reported during the same
period of time
100
Age-specific Mortality
Rate No of deaths in an age group in a year
Estimated mid-year population in
that age group 1,000 or 100,000
Neonatal Mortality Rate No of deaths under 28 days of age
during a year
No of live births during the same
year 1,000
Post neonatal
Mortality Rate
No of deaths from 28 days to, but not
including 1 year of age during a year No of live births during the same
year
1,000
Infant Mortality Rate No of deaths under 1 year of age
during a year
No of live births reported during the
same year 1,000
Fetal Mortality Rate No of fetal deaths (28 weeks +
gestation) in a year
No of live births + fetal deaths
during the same year 1,000
Perinatal Mortality Rate
No of fetal deaths (28 weeks + gestation) +
infant deaths < 7 days of age in a year No of fetal deaths + live births
during the same year
1,000
Maternal Mortality Rate No of deaths assigned to pregnancy-
related causes during a year
No of live births during the same
year 100,000
Editor's Notes
#2 Textbooks used to prepare this lecture can be found in the following annotated bibliographies on my Web site:
<UL>
<LI><B><A HREF= “http://home.beseen.com/technology/bcjung/Biostats.htm”> Annotated Biostatistics Bibliography </A></B></LI>
<LI><B><A HREF=
“http://home.beseen.com/technology/bcjung/Epi.htm”>Annotated Epidemiology Bibliography </A></B></LI>
<LI><B><A HREF=
“http://home.beseen.com/technology/bcjung/Stats.htm”>Annotated Statistics Bibliography </A></B></LI></LI></UL>
The main source of information is from: Jan W. Kuzma (1998). Basic Statistics for the Health Sciences. 3rd Edition. CA:Mayfield Publishing Company
#5 These sources are usually provided for defined populations (i.e., cities, states, political entities). Morbidity data have usually been hospital and clinic data, which means the populations of reference may not be easy to define.
Changes in health care delivery will have an impact on hospital and clinic data. In the U.S., the trend has been to hospitalize only the most sickest, and then for the shortest length of time. For example, “length of stay” may no longer be truly reflective of “severity of illness.”