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1.
Health Econ ; 11(2): 155-63, 2002 Mar.
Article in English | MEDLINE | ID: mdl-11921313

ABSTRACT

Burden of disease (BOD) estimates used to foster local health policy require disability weights which represent local preferences for different health states. The global burden of disease (GBD) study presumes that disability weights are universal and equal across countries and cultures, but this is questionable. This indicates the need to measure local disability weights across nations and/or cultures. We developed a culturally adapted version of the visual analogue scale (VAS) for a setting in rural Burkina Faso. Using an anthropologic approach, BOD-relevant health states were translated into culturally meaningful disability scenarios. The scaling procedure was adapted using a locally relevant scale. Nine hypothetical health states were evaluated by seven panels of in total 39 lay individuals and 17 health professionals. Results show that health professionals' rankings and valuations of health states matched those of lay people to a certain extent. In comparison to that of the lay people, health professionals rated seven out of nine health states as slightly to moderately less severe. The instrument scored well on inter-panel and test-retest reliability and construct validity. Our research shows the feasibility of eliciting disability weights in a rural African setting using a culturally adapted VAS. Moreover, the results of the present study suggest that it might be possible to use health professionals' preferences on disability weights as a proxy for lay people's preferences.


Subject(s)
Attitude to Health/ethnology , Cost of Illness , Disabled Persons/classification , Disabled Persons/psychology , Health Status Indicators , Rural Population , Activities of Daily Living , Burkina Faso/epidemiology , Choice Behavior , Consumer Behavior , Cross-Cultural Comparison , Humans , Psychometrics , Quality-Adjusted Life Years , Social Values , Value of Life/economics
2.
Int J Epidemiol ; 30(3): 501-8, 2001 Jun.
Article in English | MEDLINE | ID: mdl-11416072

ABSTRACT

BACKGROUND: An effective health policy necessitates a reliable characterization of the burden of disease (BOD) by cause. The Global Burden of Disease Study (GBDS) aims to deliver this information. For sub-Saharan Africa (SSA) in particular, the GBDS relies on extrapolations and expert guesses. Its results lack validation by locally measured epidemiological data. METHODS: This study presents locally measured BOD data for a health district in Burkina Faso and compares them to the results of the GBDS for SSA. As BOD indicator, standard years of life lost (age-weighted YLL, discounted with a discount rate of 3%) are used as proposed by the GBDS. To investigate the influence of different age and time preference weights on our results, the BOD pattern is again estimated using, first, YLL with no discounting and no age-weighting, and, second, mortality figures. RESULTS: Our data exhibit the same qualitative BOD pattern as the GBDS results regarding age and gender. We estimated that 53.9% of the BOD is carried by men, whereas the GBDS reported this share to be 53.2%. The ranking of diseases by BOD share, though, differs substantially. Malaria, diarrhoeal diseases and lower respiratory infections occupy the first three ranks in our study and in the GBDS, only differing in their respective order. Protein-energy malnutrition, bacterial meningitis and intestinal nematode infections occupy ranks 5, 6 and 7 in Nouna but ranks 15, 27 and 38 in the GBDS. The results are not sensitive to the different age and time preference weights used. Specifically, the choice of parameters matters less than the choice of indicator. CONCLUSIONS: Local health policy should rather be based on local BOD measurement instead of relying on extrapolations that might not represent the true BOD structure by cause.


Subject(s)
Cause of Death , Cost of Illness , Africa South of the Sahara/epidemiology , Autopsy , Burkina Faso/epidemiology , Chi-Square Distribution , Developing Countries , Disabled Persons/statistics & numerical data , Female , Health Policy , Humans , Male , Quality-Adjusted Life Years
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