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VITAL DATA. Nigel Paneth. FIVE COMPONENTS OF VITAL DATA. Vital data are defined as major events in the population that are required by law (in many jurisdictions) to be reported to governmental authority. The five generally accepted components of vital data are: BIRTHS DEATHS FETAL DEATHS

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vital data

VITAL DATA

Nigel Paneth

five components of vital data
FIVE COMPONENTS OF VITAL DATA
  • Vital data are defined as major events in the population that are required by law (in many jurisdictions) to be reported to governmental authority.
  • The five generally accepted components of vital data are:
      • BIRTHS
      • DEATHS
      • FETAL DEATHS
      • MARRIAGES
      • DIVORCES
births
BIRTHS
  • Important as a denominator to epidemiologists, as a numerator (birth-rate, fertility-rate) to demographers
  • Subsets of births (e.g. low birthweight) often of importance to epidemiologists because of their high risk
deaths
DEATHS
  • The major outcome of interest to epidemiologists. The overall death rate is of interest to demographers, the cause-specific rates to epidemiologists.
fetal deaths
FETAL DEATHS
  • Not always considered vital data, because rules on registration are so varied. Tend to be under-reported almost everywhere, regardless of legal requirements.
  • Great variation in minimum gestational age required for reporting. (In most US states, about 20 weeks)
marriages and divorces
MARRIAGES AND DIVORCES
  • Neither of the above used as outcomes much by epidemiologists, though often of interest as exposures affecting health.
population
POPULATION
  • Although not labeled as vital data, counts of the population from CENSUS data are essential to epidemiologists as denominators for death and disease rates.
nine uses of vital data
NINE USES OF VITAL DATA

1. MEASURING THE BURDEN OF DISEASE.

  • How do cause-specific mortality rates compare to each other?

2. HISTORICAL PATTERNS OF DISEASE

  • How have death rates changed over centuries?

3. SECULAR TRENDS IN DISEASE

  • How are death-rates changing now?
slide9
MORE USES OF VITAL DATA

4. GEOGRAPHIC DIFFERENCES

  • How do countries or regions differ in mortality?

5. DEFINING ACUTE EPIDEMICS

  • Can we detect sudden changes in disease?

6. DEFINING NEW DISEASES

  • Can we detect new diseases in vital data?
more uses of vital data
MORE USES OF VITAL DATA

7. ASSESSING MEDICAL CARE

  • Can we compare death rates in populations receiving different kinds of medical care?

8. ENVIROMENTAL EXPOSURES

  • Can we compare death rates in regions exposed to different ecological exposures?

9. POLITICAL USES (AND MISUSES)

  • Can we persuade politicians to support public health measures based on vital data?
defining epidemics albert camus the plague
DEFINING EPIDEMICS(Albert Camus’ The Plague)

.. the bare statement that 302 deaths had taken place in the third week of the plague failed to strike the public's imagination. For one thing, all 302 deaths might not have been due to plague. Also, no one in the town had any idea of the average weekly death-rate in ordinary times. The population of the town was about 200,000. There was no knowing if the present death-rate were really so abnormal. This is, in fact, the kind of statistics that nobody ever troubles much about - notwithstanding that its interest is obvious. The public lacked, in short, standards of comparison.

recognizing patterns of disease
RECOGNIZING PATTERNS OF DISEASE

WHAT ARE THESE EPIDEMICS?

early uses of death data
EARLY USES OF DEATH DATA
  • Florentine dowry fund
  • Typhoid fever decline
historical trends in disease
HISTORICAL TRENDS IN DISEASE
  • Cancer
  • Heart Disease
  • Overall mortality
  • Infant mortality
  • Maternal mortality
  • AIDS
geographic variations
GEOGRAPHIC VARIATIONS
  • Breast Cancer
  • Cervical cancer
detecting new disease patterns
DETECTING NEW DISEASE PATTERNS
  • Changing death rates in asthma
assessing the effects of medical care
ASSESSING THE EFFECTS OF MEDICAL CARE
  • Neonatal tetanus immunization
  • Newborn intensive care
  • Effect of infant transport
the politics of vital data
THE POLITICS OF VITAL DATA

Yalow letter about South African mortality