Abstract
National Sample Survey (NSS) provides national and sub-national level information on morbidities and health care at regular intervals since its inception on 1953-54. In these surveys, information for all members of sample household was gathered either from head or a key informant of the household. This paper aims to explore the effect of proxy-reporting on population estimates of morbidity prevalence and to identify patterns of biases in these estimates due to proxy responses based on recent 60th round NSS data on morbidity and health care. In this round, information for 68 percent sample population was collected from proxy respondents. Proxies underreported morbidities with an overall morbidity prevalence of 81 per 1000 adult population compared with self-reported morbidity prevalence of 148. Proxy-responses in NSS on morbidity and health care introduce systematic biases, affecting national and regional estimates of morbidity prevalence. Suitable adjustment for proxy-responses should be made while estimating realistic population risks from NSS data.
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Event ID
17
Paper presenter
35 791
Type of Submissions
Regular session presentation, if not selected I agree to present my paper as a poster
Language of Presentation
English
Weight in Programme
13
Status in Programme
1
Submitted by Gopal.Agrawal on