Abstract
Purpose
– Since inception, National Sample Survey (NSS) is the only large-scale household survey in India, periodically collecting data on morbidity and health care conditions in the country. In these surveys, information for all members of sample households was gathered either from head or a key informant of the household. This paper aims to discuss these issues.
Design/methodology/approach
– This study was developed to examine whether the use of proxy respondents influences population estimates of morbidity prevalence rates and factors associated with morbidity prevalence rates among adults based on latest 60th round NSS data on morbidity and health care.
Findings
– The results showed that use of proxy in this survey had severely affected morbidity prevalence rates among adult persons aged 18 years and above. The result showed that use of proxy in the NSS 60th round survey had resulted in underestimation of morbidity prevalence rates among adults in such a way that overall morbidity prevalence rate was 45 per cent higher in direct interviews (148 per 1,000 adult persons) compared to those answered by proxies (81, p<0.001). There were variations in underreporting of morbidities by socio-economic and demographic characteristics of proxies but the direction of the association was the same.
Research limitations/implications
– The study conclude that morbidity data from the NSS can be used regardless of use of proxies and that the association between worse health condition and socio-economic and demographic factors persisted even when information was collected from a proxy. However, suitable adjustments for proxy-reporting should be made while estimating realistic population at risk from the NSS data.
Originality/value
– This is the first manuscript that has made an attempt to examine the effect of proxy-reporting on morbidity prevalence in NSS data. Since its inception in 1955, NSS data are the only data source available in India on morbidity and health care conditions. A large number of research manuscripts have been published using this data and there were serious concerns among the researchers on data quality particularly about the reporting of health status. NSS 60th round first time provided information on reporting status, i.e. proxy vs self. In this context, the present study made an effort in this direction.
Subject
Health Policy,Public Administration,Sociology and Political Science,Social Psychology,Health (social science)
Reference20 articles.
1. Agrawal, G.
and
Arokiasamy, P.
(2009), “Morbidity prevalence and health care utilization among older adults in India”,
Journal of Applied Gerontology
, Vol. 29 No. 2, pp. 155-79.
2. Bassett, S.S.
,
Magaziner, J.
and
Hebel, J.R.
(1990), “Reliability of proxy response on mental health indices for aged, community-dwelling women”,
Psychology of Aging
, Vol. 5
No. 1, pp. 127-32.
3. Borkotoky, K.
and
Unisa, S.
(2014), “Indicators to examine quality of large scale survey data: an example through district level household and facility survey”,
PLoS ONE
, Vol. 9 No. 3, p. e90113, doi:10.1371/journal.pone.0090113.
4. Cartwright, A.
(1963), “Memory errors in a morbidity survey”,
Milbank Memorial Fund Quarterly
, Vol. 41
No. 1, pp. 5-24.
5. Dilip, T.R.
(2002), “Understanding levels of morbidity and hospitalization in Kerala, India”,
Bulletin of the World Health Organization
, Vol. 80 No. 9, pp. 746-51.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献