Morbidity statistics what should we measure

1
Morbidity statisticswhat should we measure

• M.De Smedt, Eurostat E/3
• J.Bonte, Adviser LEG Health.
• Eurostat morbidity seminar,
• London, 27-29 January 2003

2
Changing patters

• Mortality patterns and disease patterns diverge
• Decreasing case fatality, increasing survival
  ratios
• Chronic conditions on the increase
• Ageing

3
New demands for data

• Non communicable and chronic diseases
• Diseases related to ageing
• Diseases caused by lifestyles
• Rare diseases
• Impact of diseases on health care resources

4
Existing diagnosis-related data tend to
become less adequate for defining needs and
demands for health care services
5
Pillars for status of health

• I. Causes of death
• II. ESHS, EHIS
• III. HES
• IV. Diagnosis-related data
• (in demand for health care)

6
Borderlines

• NÓT TO DISCUSS
• complaints, reason for encounter
• disability-related items
• medical procedures

• TO DISCUSS
• diagnoses made by physician, medical professional

7
Priority of measures

• prevalence rates
• case fatality and survival ratios
• incidence rates

8
Which way forward

• There are many, mainly un-coordinated and not
  harmonised, disease oriented sources in the EU.
• Should these sources be harmonised and reinforced
  ?
• Should, complementary to this, a minimum
  morbidity set be developed in a generic framework
  approach ?