Are self reported morbidities deceptive in measuring socio-economic inequalities.
Article
in English
| IMSEAR
| ID: sea-145358
ABSTRACT
Background & objectives:
The ambiguity and variability in existing literature on the magnitude of socio-economic inequality in self-reported morbidities makes it difficult to set priorities in health policy. This study examined three critical research questions first, how far self-reporting affects measuring socio-economic inequalities in case of obstetric morbidities. Second, does using simple bivariate variations mislead in estimating socio-economic differentials in prevalence of obstetric morbidities? Finally, whether use of sophisticated regression based decomposition results can overcome such problems.Methods:
The data from National Family Health Survey (NFHS-3; 2005-06) were used, and analyzed by statistical tools such as bivariate estimates and regression based decomposition analysis.Results:
Bivariate results revealed that self-reported obstetric morbidity data were misleading in measurement of socio-economic differentials, as these failed to show existing socio-economic variations in obstetric morbidities by socio-economic standing of women. However, decomposition analysis showed that the prevalence of obstetric complications was greater among socioeconomically disadvantaged groups. Interpretation &conclusions:
Based on our findings on measurement of socio-economic inequality in self-reported obstetric morbidity, we conclude that the use of regression based inequality decomposition estimates not only overcomes the problems of measuring socio-economic inequality based on self-reported morbidities, but also increases the validity of such measures.
Full text:
Available
Index:
IMSEAR (South-East Asia)
Main subject:
Pregnancy Complications
/
Socioeconomic Factors
/
Female
/
Humans
/
Male
/
Pregnancy Outcome
/
Biostatistics
/
Health Surveys
/
Morbidity
/
Self Report
Type of study:
Health economic evaluation
Country/Region as subject:
Asia
Language:
English
Year:
2012
Type:
Article
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