Basic measurements in
epidemiology
Dr. S. A. Rizwan, M.D.,
Asst. Professor,
Department of Community Medicine,
VMCHRI, Madurai
Learning objectives
• At the end of this lecture you sh be able
• List the various tools used for measurement
• List the various measures of death
• List the various measures of disease
2
Recap
• Define epidemiology
• Uses of epidemiology
3
Measurements used in epidemiology
• Measurement of mortality
• Measurement of morbidity
• Measurement of disability
• Measurement of natality
• Measurement of disease attributes
• Measurement of health care services
• Measurement of the risk factors
• Measurement of demographic variables
4
TOOLS OF MEASUREMENT
5
Tools of measurement
• Proportion
• Rate
• Ratio
6
Proportion
• Usually expressed as a percentage %
– Numerator (which is part of denominator)
– Denominator
– Multiplier
– No time factor
7
Proportion – example
What proportion of this class are Vijay fans?
8
Proportion – example
What proportion of this class are Ajith fans?
9
Proportion – ‘real’ example
• What proportion of the population is
suffering from diabetes?
10
Rate
Contains
• Numerator (which is part of denominator)
• Denominator
• Multiplier
• Time period
• Usually expressed per 100 / per 1000 population
• It has a time dimension, whereas a PROPORTION
does not
11
Rate – example
12
Rate – example
• Death rate =
𝑁𝑜.𝑜𝑓 𝑑𝑒𝑎𝑡ℎ𝑠 𝑖𝑛 𝑜𝑛𝑒 𝑦𝑒𝑎𝑟
𝑇𝑜𝑡𝑎𝑙 𝑝𝑜𝑝𝑢𝑙𝑎𝑡𝑖𝑜𝑛 𝑖𝑛 𝑡ℎ𝑎𝑡 𝑦𝑒𝑎𝑟
X 1000
13
Ratio
Contains
• Numerator (not part of denominator)
• Denominator
14
Ratio – example
15
Ratio – example
16
Ratio – example
17
Summary
• Epidemiology uses 3 main tools of
measurement
– Proportion
– Rate
– Ratio
18
MEASUREMENT OF MORTALITY
19
Measurement of mortality
• Crude death rate
• Specific death rate
• Proportional mortality rate
• Case fatality rate
• Survival rate
• Adjusted/standardized rates
20
International death certificate
21
Crude Death Rate
𝐶𝐷𝑅 =
𝑁𝑜.𝑜𝑓 𝑑𝑒𝑎𝑡ℎ𝑠 𝑑𝑢𝑟𝑖𝑛𝑔 𝑜𝑛𝑒 𝑦𝑒𝑎𝑟
𝑀𝑖𝑑 𝑦𝑒𝑎𝑟 𝑝𝑜𝑝𝑢𝑙𝑎𝑡𝑖𝑜𝑛
X 1000
22
Total population in Madurai in 2015
23
No. of deaths in Madurai in 2015
24
CDR in Madurai in 2015
25
Specific death rate
• Cause specific
– Deaths due to cholera
• Age specific
– Infant deaths
• Sex specific
– Maternal deaths
• Time specific
– Weekly deaths
26
Total population in Madurai in 2015
27
No. of deaths in Madurai in 2015
28
Cause of death – cholera
29
Cholera specific death rate in Madurai
in 2015
30
Proportional mortality rate
=
𝑁𝑜.𝑜𝑓 𝑑𝑒𝑎𝑡ℎ𝑠 𝑑𝑢𝑒 𝑡𝑜 𝑎 𝑝𝑎𝑟𝑡𝑖𝑐𝑢𝑙𝑎𝑟 𝑐𝑜𝑛𝑑𝑖𝑡𝑖𝑜𝑛
𝑇𝑜𝑡𝑎𝑙 𝑛𝑜.𝑜𝑓 𝑑𝑒𝑎𝑡ℎ𝑠
X 100
31
Total population in Madurai in 2015
32
No. of deaths in Madurai in 2015
33
Total deaths
34
Cause of death – cholera
35
Proportional mortality rate of cholera
36
37
Total population (MYP)
Total deaths – all causes
Cholera deaths
CDR
Specific DR
PMR
Case fatality rate
CFR =
𝑁𝑜.𝑜𝑓 𝑑𝑒𝑎𝑡ℎ𝑠 𝑑𝑢𝑒 𝑡𝑜 𝑐ℎ𝑜𝑙𝑒𝑟𝑎
𝑇𝑜𝑡𝑎𝑙 𝑛𝑜.𝑜𝑓 𝑐𝑎𝑠𝑒𝑠 𝑜𝑓 𝑐ℎ𝑜𝑙𝑒𝑟𝑎
X 100
38
Total no. of cholera cases
39
No. of people died due to cholera
40
Total no. of cholera cases
41
Survival rate
• Used in research studies
• Like cancer therapy or survival
=
𝑃𝑎𝑡𝑖𝑒𝑛𝑡𝑠 𝑎𝑙𝑖𝑣𝑒 𝑎𝑡 𝑡ℎ𝑒 𝑒𝑛𝑑 𝑜𝑓 5 𝑦𝑒𝑎𝑟𝑠
𝑇𝑜𝑡𝑎𝑙 𝑛𝑜.𝑜𝑓 𝑝𝑎𝑡𝑖𝑒𝑛𝑡𝑠
X 100
42
What is standardization?
You: My salary has
doubled this month
Ur friend: My salary
has also doubled
43

What is standardization?
¥. 1 Lakh = Rs. 10 Lakh
¥. 2 Lakh = Rs. 20 Lakh
Gain = Rs. 10 Lakh
Rs. 1 Lakh
Rs. 2 Lakh
Gain = Rs. 1 Lakh
44
What is standardization?
Rs. 1 Lakh = $ 1,500 ¥. 1 Lakh = $ 15,000
Rs. 2 Lakh = $ 3,000 ¥. 2 Lakh = $ 30,000
Gain = $ 1,500 Gain = $ 15,000
45
What is standardization?
You: My salary has
doubled this month
Ur friend: My salary
has also doubled
46

Direct standardization
47
Crude rates
Madurai Population Deaths Death rate
per 1000
0-64 53,500 446 8.3
Chennai Population Deaths Death rate
per 1000
0-64 92,000 850 9.2
48
Age specific rates
Madurai Population Deaths Death rate
per 1000
0-24 21,500 123 5.7
25-64 32,000 323 10.0
Chennai Population Deaths Death rate
per 1000
0-24 32,000 150 4.6
25-64 60,000 700 11.6
49
Standard population
Standard Population
0-24 156,000
25-64 45,000
50
Standardization for Madurai
Standard Population Madurai
rates
Expected
deaths
0-24 156,000 5.7 889
25-64 45,000 10.0 450
Total 201,000 1,339
Age Population Total deaths Standardized
crude rate
0-64 201,000 1,339 6.6
∂
∂ ∂ ∂
51
Standardization for Chennai
Standard Population Chennai
rates
Expected
deaths
0-24 156,000 4.6 718
25-64 45,000 11.6 522
Total 201,000 1,240
Age Population Total deaths Standardized
crude rate
0-64 201,000 1,240 6.1
∂
∂ ∂ ∂
52
Standardized rates
Madurai Population Deaths CDR per
1000
Std. DR
per 1000
0-64 53,500 446 8.3 6.6
Chennai Population Deaths CDR per
1000
Std. DR
per 1000
0-64 92,000 850 9.2 6.1
53
Indirect standardization
54
Standardized mortality ratio
Age National death rate
per 1000
25-34 3
35-44 5
45-54 8
55-64 25
55
Standardized mortality ratio
Age Doctor
population
Observed
deaths
25-34 300 *
35-44 400 *
45-54 200 *
55-64 100 *
Total 1000 9.0
Crude death rate for doctors is 9.0 per 1000
56
Standardized mortality ratio
Age National
rate
Doctor
population
Observed
deaths
Expected
deaths
25-34 3 300 * 0.9
35-44 5 400 * 2.0
45-54 8 200 * 1.6
55-64 25 100 * 2.5
Total 1000 9.0 7.0
57
Standardized mortality ratio
SMR =
Observed deaths
Expected deaths
X 100
SMR = 9/7 X 100 = 129
It means doctors experience 29% more
mortality than the general population
58
Summary
• There are various measures of mortality
• Each one has its own purpose and
disadvantages
• Standardization is a method for making rates
comparable between regions
59
MEASUREMENT OF MORBIDITY
60
Measurement of morbidity
• Incidence
– Occurrence of new cases
• Prevalence
– Existence of new and old cases
• Incidence – how many people with the disease
are newly diagnosed each year (like video)
• Prevalence - how many people in a population
currently have the disease (like snapshot)
61
Incidence (நடக்குறது)
62
=
No. of 𝐍𝐄𝐖 cases of a disease
in a particular time period
Total population at risk during
the same time period
X 1000
Incidence – example
JANUARY 1, 2016 DECEMBER 31, 2016
63
Special incidence rates
• Attack rate
• Secondary attack rate
64
Uses of incidence rate
• For taking action to control disease
• More suited for acute or infectious conditions
• For research
65
Example of use of incidence
This news article is giving only the numerators,
Without denominator, it is hard to place much importance
66
Example of use of incidence
67
Points to remember about incidence
• Refers only to new cases
• Not influenced by duration of disease
• Refers to a particular time period
• Denominator is people at risk
68
Prevalence (இருக்குறது)
=
No.of 𝐎𝐋𝐃 𝐚𝐧𝐝 𝐍𝐄𝐖 cases of a disease
in a particular time point/period
Total population at risk during
the same time period
X 1000
69
Types of prevalence
• Point prevalence
• Period prevalence
70
Point prevalence – example
JANUARY 1, 2016 DECEMBER 31, 2016
71
Period prevalence – example
JANUARY 1, 2016 DECEMBER 31, 2016
72
Prevalence increases
• Longer duration of disease
• Prolongation of life with treatment
• Increase in incidence
• Immigration of new cases
• Better reporting of cases
• Emigration of healthy people
73
Prevalence decreases
• Shorter duration of diseases
• Improved cure rate
• Decrease in incidence
• Emigration of new cases
• Under reporting of cases
• Immigration of healthy people
74
Uses of prevalence
• Magnitude of disease problems
• Identify potential high-risk populations
• Administrative and planning purposes, e.g.,
hospital beds, manpower needs, rehabilitation
facilities
75
Example of use of prevalence
76
Example of use of prevalence
77
Points to remember about prevalence
• Refers to new and old cases
• Influenced by duration of disease
• Refers to a particular time period
• Denominator is people at risk
78
Relation between incidence &
prevalence
79
Relation between incidence &
prevalence
• Prevalence = Incidence X duration
• Incidence = 10 cases/1000 population/year
• Mean duration of disease = 5 years
• Prevalence = 10 x 5 = 50 per 1000 population
80
Summary
• Incidence and prevalence are finer
measurements of health as compared to
death rates
• They help us to measure the effectiveness of
disease control measures
81
Take home messages
• Proportion, rate and ratio – basic tools
• CDR is a simple measure of death/health
• Standardization is needed for comparability
• Incidence reflects new cases only
• Prevalence reflects new and old cases
• Incidence and prevalence are related
• Mortality measures are important, morbidity
measures give a better idea of health
82
Review 1
• It was reported that the incidence of dengue
was increasing every year in Madurai. This
could mean all EXCEPT,
a) Control of mosquitoes has failed
b) Reporting of dengue cases has improved
c) Treatment for dengue has failed
d) Public awareness on dengue has increased
83
Review 2
• Prevalence of Diabetes is increasing every year in
India. This could mean all EXCEPT,
a) Incidence of DM is increasing
b) Reporting of diabetes has increased
c) Diabetic patients are surviving longer due to
better treatment
d) Public awareness on diabetes has increased
e) None of the above
84
Review 3
• Examples of a disease with high incidence but
low prevalence include (multiple options)
a) Acute respiratory infection
b) Acute diarrhoea
c) TB
d) Leprosy
85
Review 4
• Examples of a disease with low incidence but
high prevalence include (multiple options)
a) Acute respiratory infection
b) Acute diarrhoea
c) TB
d) Leprosy
86
Review 5
• A new diabetes control programme was
introduced in Madurai. After 1 year, the
incidence and prevalence of Diabetes
increased. This means
a) The programme did not work
b) The programme worked
c) Data not sufficient
87
Review 6
• Disadvantages of crude death rate include
(multiple options)
a) Simple measure
b) Influenced by the age composition
c) Not comparable between countries
d) All of the above
88
Review 7
• Proportional mortality is useful for all EXCEPT
a) Understanding relative importance of diseases
as a cause of death
b) Determining measures for reducing preventable
mortality
c) Indicating the risk for population from dying due
to a particular cause
d) All of the above
89
Review 8
• Standardized rates can be calculated for
a) Age
b) Sex
c) Race
d) Literacy rate
e) All the above
90
Review 9
• Standardized mortality ratio requires all
EXCEPT
a) Age specific denom. for interest pop.
b) Age specific death rates for standard pop.
c) Age specific death rates for interest pop.
d) Crude death rate in interest pop.
91
Review 10
• A patient with Atherosclerotic heart disease for 7
years developed Acute myocardial infarction last
week and died today as a result of myocardial
rupture. What is the immediate cause of death?
a) Acute myocardial infarction
b) Atherosclerotic heart disease
c) Cardiac arrest
d) Rupture of myocardium
92
Review 11
• Mid year population is not the denominator
for (multiple options)
a) Age specific death rate
b) Cause specific death rate
c) Crude death rate
d) Proportional mortality rate
e) Case fatality rate
93
THANK YOU
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Email your queries to sarizwan1986@outlook.com

Basic measurements in epidemiology

  • 1.
    Basic measurements in epidemiology Dr.S. A. Rizwan, M.D., Asst. Professor, Department of Community Medicine, VMCHRI, Madurai
  • 2.
    Learning objectives • Atthe end of this lecture you sh be able • List the various tools used for measurement • List the various measures of death • List the various measures of disease 2
  • 3.
    Recap • Define epidemiology •Uses of epidemiology 3
  • 4.
    Measurements used inepidemiology • Measurement of mortality • Measurement of morbidity • Measurement of disability • Measurement of natality • Measurement of disease attributes • Measurement of health care services • Measurement of the risk factors • Measurement of demographic variables 4
  • 5.
  • 6.
    Tools of measurement •Proportion • Rate • Ratio 6
  • 7.
    Proportion • Usually expressedas a percentage % – Numerator (which is part of denominator) – Denominator – Multiplier – No time factor 7
  • 8.
    Proportion – example Whatproportion of this class are Vijay fans? 8
  • 9.
    Proportion – example Whatproportion of this class are Ajith fans? 9
  • 10.
    Proportion – ‘real’example • What proportion of the population is suffering from diabetes? 10
  • 11.
    Rate Contains • Numerator (whichis part of denominator) • Denominator • Multiplier • Time period • Usually expressed per 100 / per 1000 population • It has a time dimension, whereas a PROPORTION does not 11
  • 12.
  • 13.
    Rate – example •Death rate = 𝑁𝑜.𝑜𝑓 𝑑𝑒𝑎𝑡ℎ𝑠 𝑖𝑛 𝑜𝑛𝑒 𝑦𝑒𝑎𝑟 𝑇𝑜𝑡𝑎𝑙 𝑝𝑜𝑝𝑢𝑙𝑎𝑡𝑖𝑜𝑛 𝑖𝑛 𝑡ℎ𝑎𝑡 𝑦𝑒𝑎𝑟 X 1000 13
  • 14.
    Ratio Contains • Numerator (notpart of denominator) • Denominator 14
  • 15.
  • 16.
  • 17.
  • 18.
    Summary • Epidemiology uses3 main tools of measurement – Proportion – Rate – Ratio 18
  • 19.
  • 20.
    Measurement of mortality •Crude death rate • Specific death rate • Proportional mortality rate • Case fatality rate • Survival rate • Adjusted/standardized rates 20
  • 21.
  • 22.
    Crude Death Rate 𝐶𝐷𝑅= 𝑁𝑜.𝑜𝑓 𝑑𝑒𝑎𝑡ℎ𝑠 𝑑𝑢𝑟𝑖𝑛𝑔 𝑜𝑛𝑒 𝑦𝑒𝑎𝑟 𝑀𝑖𝑑 𝑦𝑒𝑎𝑟 𝑝𝑜𝑝𝑢𝑙𝑎𝑡𝑖𝑜𝑛 X 1000 22
  • 23.
    Total population inMadurai in 2015 23
  • 24.
    No. of deathsin Madurai in 2015 24
  • 25.
    CDR in Maduraiin 2015 25
  • 26.
    Specific death rate •Cause specific – Deaths due to cholera • Age specific – Infant deaths • Sex specific – Maternal deaths • Time specific – Weekly deaths 26
  • 27.
    Total population inMadurai in 2015 27
  • 28.
    No. of deathsin Madurai in 2015 28
  • 29.
    Cause of death– cholera 29
  • 30.
    Cholera specific deathrate in Madurai in 2015 30
  • 31.
    Proportional mortality rate = 𝑁𝑜.𝑜𝑓𝑑𝑒𝑎𝑡ℎ𝑠 𝑑𝑢𝑒 𝑡𝑜 𝑎 𝑝𝑎𝑟𝑡𝑖𝑐𝑢𝑙𝑎𝑟 𝑐𝑜𝑛𝑑𝑖𝑡𝑖𝑜𝑛 𝑇𝑜𝑡𝑎𝑙 𝑛𝑜.𝑜𝑓 𝑑𝑒𝑎𝑡ℎ𝑠 X 100 31
  • 32.
    Total population inMadurai in 2015 32
  • 33.
    No. of deathsin Madurai in 2015 33
  • 34.
  • 35.
    Cause of death– cholera 35
  • 36.
  • 37.
    37 Total population (MYP) Totaldeaths – all causes Cholera deaths CDR Specific DR PMR
  • 38.
    Case fatality rate CFR= 𝑁𝑜.𝑜𝑓 𝑑𝑒𝑎𝑡ℎ𝑠 𝑑𝑢𝑒 𝑡𝑜 𝑐ℎ𝑜𝑙𝑒𝑟𝑎 𝑇𝑜𝑡𝑎𝑙 𝑛𝑜.𝑜𝑓 𝑐𝑎𝑠𝑒𝑠 𝑜𝑓 𝑐ℎ𝑜𝑙𝑒𝑟𝑎 X 100 38
  • 39.
    Total no. ofcholera cases 39
  • 40.
    No. of peopledied due to cholera 40
  • 41.
    Total no. ofcholera cases 41
  • 42.
    Survival rate • Usedin research studies • Like cancer therapy or survival = 𝑃𝑎𝑡𝑖𝑒𝑛𝑡𝑠 𝑎𝑙𝑖𝑣𝑒 𝑎𝑡 𝑡ℎ𝑒 𝑒𝑛𝑑 𝑜𝑓 5 𝑦𝑒𝑎𝑟𝑠 𝑇𝑜𝑡𝑎𝑙 𝑛𝑜.𝑜𝑓 𝑝𝑎𝑡𝑖𝑒𝑛𝑡𝑠 X 100 42
  • 43.
    What is standardization? You:My salary has doubled this month Ur friend: My salary has also doubled 43 
  • 44.
    What is standardization? ¥.1 Lakh = Rs. 10 Lakh ¥. 2 Lakh = Rs. 20 Lakh Gain = Rs. 10 Lakh Rs. 1 Lakh Rs. 2 Lakh Gain = Rs. 1 Lakh 44
  • 45.
    What is standardization? Rs.1 Lakh = $ 1,500 ¥. 1 Lakh = $ 15,000 Rs. 2 Lakh = $ 3,000 ¥. 2 Lakh = $ 30,000 Gain = $ 1,500 Gain = $ 15,000 45
  • 46.
    What is standardization? You:My salary has doubled this month Ur friend: My salary has also doubled 46 
  • 47.
  • 48.
    Crude rates Madurai PopulationDeaths Death rate per 1000 0-64 53,500 446 8.3 Chennai Population Deaths Death rate per 1000 0-64 92,000 850 9.2 48
  • 49.
    Age specific rates MaduraiPopulation Deaths Death rate per 1000 0-24 21,500 123 5.7 25-64 32,000 323 10.0 Chennai Population Deaths Death rate per 1000 0-24 32,000 150 4.6 25-64 60,000 700 11.6 49
  • 50.
  • 51.
    Standardization for Madurai StandardPopulation Madurai rates Expected deaths 0-24 156,000 5.7 889 25-64 45,000 10.0 450 Total 201,000 1,339 Age Population Total deaths Standardized crude rate 0-64 201,000 1,339 6.6 ∂ ∂ ∂ ∂ 51
  • 52.
    Standardization for Chennai StandardPopulation Chennai rates Expected deaths 0-24 156,000 4.6 718 25-64 45,000 11.6 522 Total 201,000 1,240 Age Population Total deaths Standardized crude rate 0-64 201,000 1,240 6.1 ∂ ∂ ∂ ∂ 52
  • 53.
    Standardized rates Madurai PopulationDeaths CDR per 1000 Std. DR per 1000 0-64 53,500 446 8.3 6.6 Chennai Population Deaths CDR per 1000 Std. DR per 1000 0-64 92,000 850 9.2 6.1 53
  • 54.
  • 55.
    Standardized mortality ratio AgeNational death rate per 1000 25-34 3 35-44 5 45-54 8 55-64 25 55
  • 56.
    Standardized mortality ratio AgeDoctor population Observed deaths 25-34 300 * 35-44 400 * 45-54 200 * 55-64 100 * Total 1000 9.0 Crude death rate for doctors is 9.0 per 1000 56
  • 57.
    Standardized mortality ratio AgeNational rate Doctor population Observed deaths Expected deaths 25-34 3 300 * 0.9 35-44 5 400 * 2.0 45-54 8 200 * 1.6 55-64 25 100 * 2.5 Total 1000 9.0 7.0 57
  • 58.
    Standardized mortality ratio SMR= Observed deaths Expected deaths X 100 SMR = 9/7 X 100 = 129 It means doctors experience 29% more mortality than the general population 58
  • 59.
    Summary • There arevarious measures of mortality • Each one has its own purpose and disadvantages • Standardization is a method for making rates comparable between regions 59
  • 60.
  • 61.
    Measurement of morbidity •Incidence – Occurrence of new cases • Prevalence – Existence of new and old cases • Incidence – how many people with the disease are newly diagnosed each year (like video) • Prevalence - how many people in a population currently have the disease (like snapshot) 61
  • 62.
    Incidence (நடக்குறது) 62 = No. of𝐍𝐄𝐖 cases of a disease in a particular time period Total population at risk during the same time period X 1000
  • 63.
    Incidence – example JANUARY1, 2016 DECEMBER 31, 2016 63
  • 64.
    Special incidence rates •Attack rate • Secondary attack rate 64
  • 65.
    Uses of incidencerate • For taking action to control disease • More suited for acute or infectious conditions • For research 65
  • 66.
    Example of useof incidence This news article is giving only the numerators, Without denominator, it is hard to place much importance 66
  • 67.
    Example of useof incidence 67
  • 68.
    Points to rememberabout incidence • Refers only to new cases • Not influenced by duration of disease • Refers to a particular time period • Denominator is people at risk 68
  • 69.
    Prevalence (இருக்குறது) = No.of 𝐎𝐋𝐃𝐚𝐧𝐝 𝐍𝐄𝐖 cases of a disease in a particular time point/period Total population at risk during the same time period X 1000 69
  • 70.
    Types of prevalence •Point prevalence • Period prevalence 70
  • 71.
    Point prevalence –example JANUARY 1, 2016 DECEMBER 31, 2016 71
  • 72.
    Period prevalence –example JANUARY 1, 2016 DECEMBER 31, 2016 72
  • 73.
    Prevalence increases • Longerduration of disease • Prolongation of life with treatment • Increase in incidence • Immigration of new cases • Better reporting of cases • Emigration of healthy people 73
  • 74.
    Prevalence decreases • Shorterduration of diseases • Improved cure rate • Decrease in incidence • Emigration of new cases • Under reporting of cases • Immigration of healthy people 74
  • 75.
    Uses of prevalence •Magnitude of disease problems • Identify potential high-risk populations • Administrative and planning purposes, e.g., hospital beds, manpower needs, rehabilitation facilities 75
  • 76.
    Example of useof prevalence 76
  • 77.
    Example of useof prevalence 77
  • 78.
    Points to rememberabout prevalence • Refers to new and old cases • Influenced by duration of disease • Refers to a particular time period • Denominator is people at risk 78
  • 79.
  • 80.
    Relation between incidence& prevalence • Prevalence = Incidence X duration • Incidence = 10 cases/1000 population/year • Mean duration of disease = 5 years • Prevalence = 10 x 5 = 50 per 1000 population 80
  • 81.
    Summary • Incidence andprevalence are finer measurements of health as compared to death rates • They help us to measure the effectiveness of disease control measures 81
  • 82.
    Take home messages •Proportion, rate and ratio – basic tools • CDR is a simple measure of death/health • Standardization is needed for comparability • Incidence reflects new cases only • Prevalence reflects new and old cases • Incidence and prevalence are related • Mortality measures are important, morbidity measures give a better idea of health 82
  • 83.
    Review 1 • Itwas reported that the incidence of dengue was increasing every year in Madurai. This could mean all EXCEPT, a) Control of mosquitoes has failed b) Reporting of dengue cases has improved c) Treatment for dengue has failed d) Public awareness on dengue has increased 83
  • 84.
    Review 2 • Prevalenceof Diabetes is increasing every year in India. This could mean all EXCEPT, a) Incidence of DM is increasing b) Reporting of diabetes has increased c) Diabetic patients are surviving longer due to better treatment d) Public awareness on diabetes has increased e) None of the above 84
  • 85.
    Review 3 • Examplesof a disease with high incidence but low prevalence include (multiple options) a) Acute respiratory infection b) Acute diarrhoea c) TB d) Leprosy 85
  • 86.
    Review 4 • Examplesof a disease with low incidence but high prevalence include (multiple options) a) Acute respiratory infection b) Acute diarrhoea c) TB d) Leprosy 86
  • 87.
    Review 5 • Anew diabetes control programme was introduced in Madurai. After 1 year, the incidence and prevalence of Diabetes increased. This means a) The programme did not work b) The programme worked c) Data not sufficient 87
  • 88.
    Review 6 • Disadvantagesof crude death rate include (multiple options) a) Simple measure b) Influenced by the age composition c) Not comparable between countries d) All of the above 88
  • 89.
    Review 7 • Proportionalmortality is useful for all EXCEPT a) Understanding relative importance of diseases as a cause of death b) Determining measures for reducing preventable mortality c) Indicating the risk for population from dying due to a particular cause d) All of the above 89
  • 90.
    Review 8 • Standardizedrates can be calculated for a) Age b) Sex c) Race d) Literacy rate e) All the above 90
  • 91.
    Review 9 • Standardizedmortality ratio requires all EXCEPT a) Age specific denom. for interest pop. b) Age specific death rates for standard pop. c) Age specific death rates for interest pop. d) Crude death rate in interest pop. 91
  • 92.
    Review 10 • Apatient with Atherosclerotic heart disease for 7 years developed Acute myocardial infarction last week and died today as a result of myocardial rupture. What is the immediate cause of death? a) Acute myocardial infarction b) Atherosclerotic heart disease c) Cardiac arrest d) Rupture of myocardium 92
  • 93.
    Review 11 • Midyear population is not the denominator for (multiple options) a) Age specific death rate b) Cause specific death rate c) Crude death rate d) Proportional mortality rate e) Case fatality rate 93
  • 94.
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