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Morbidity-data sources and measures

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Morbidity-data sources and measures Farid Najafi MD PhD Kermanshah Health Research Center (KHRC) Kermanshah University of Medical Sciences Question References What ... – PowerPoint PPT presentation

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Title: Morbidity-data sources and measures


1
Morbidity-data sources and measures
  • Farid Najafi
  • MD PhD
  • Kermanshah Health Research Center (KHRC)
  • Kermanshah University of Medical Sciences

2
Question
3
References
4
What are we measuring?
Criteria for diagnosis is the first step (case
fefinition) Different case definition leads to
different values
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Prevalence
Prevalence rate is a wrong expression It is a
simple proportion or percentage
Period prevalence it requires a smaller survey
sample to find enough cases For an accurate
estimate. Did your child have diarrhea during
any of the last 7 days?
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Incidence
  • Incidence measures how quickly people are
    developing a disease
  • Population at risk
  • Cervical cancer
  • Women vs. men
  • Women after hysterectomy

10
Relationship between incidence and prevalence
  • Direct relationship between incidence and
    prevalence
  • PID
  • Hepatitis A vs. Hep C
  • To measure the prevalence we need to conduct a
    cross-sectional study
  • To measure the incidence we need to conduct a
    follow-up study

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Incidence rate versus cumulative incidence
  • IR is equivalent to the average speed of a car at
    a particular point in time, e.g. 60 km/hour
  • CI is analogous to the distance travelled by a
    car during a specified interval of time, e.g. 60
    Km in one hour

14
Measuring disease occurrence using routine data
  • Most of our information come from routine data
  • Data are not individual base
  • No causal association between disease and other
    factors
  • We are usually interested in incidence
  • Difference between crude, age-specific and
    stadardised incidence and prevalence

15
Raw health data
  • Data can be assessed at two levels
  • Summary data
  • Raw counts of health events
  • More challenge about morbidity data compared to
    mortality data
  • Capturing in a less systematic way
  • Scope of information is enormous
  • No complete informatin at a local level

16
Disease registeries
  • It covers only small minority of conditions
  • CHD first studied in MONICA Project in the early
    1980s
  • Cancer Most countries, most notably in
    Scandinavia, have cancer registries that cover
    the whole country
  • Cancer is an ideal candidate for registration
    because of its clear-cut diagnosis, based on a
    single simple record (pathology)
  • Many infectious diseases

17
Health Surveys
  • There are two major challenges
  • Representativeness sample has been chosen to be
    representative of whole population
  • No inclusion of homeless people
  • Those who disagree to participate (response rate)
  • Validity the extent to which a survey actually
    measures what it set out to measure

18
Validity
19
Health facility data
  • Hospital records usually based on discharge
    diagnosis as recorded and coded on the patients
    record with varying degreees on misdiagnosis,
    mis-recording and mis-coding
  • Not representing the general population
  • For fatal and serious conditions, hospital
    records provide useful information
  • Lack of unique patients identifier
  • No information about condition treated by family
    practioners or n home

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Getting access to the data
  • International sources
  • World Health Organization (http//www.who.int)
  • World Bank (http//www.worldbank.org)
  • National data sources
  • Ministry of Health

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