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Comparative Study
. 2014 Mar:26:31-8.
doi: 10.1016/j.healthplace.2013.12.002. Epub 2013 Dec 10.

Self-rated health: small area large area comparisons amongst older adults at the state, district and sub-district level in India

Siddhivinayak Hirve  1 , Penelope Vounatsou  2 , Sanjay Juvekar  3 , Yulia Blomstedt  4 , Stig Wall  5 , Somnath Chatterji  6 , Nawi Ng  7
Affiliations
Comparative Study

Self-rated health: small area large area comparisons amongst older adults at the state, district and sub-district level in India

Siddhivinayak Hirve et al. Health Place. 2014 Mar.

Abstract

We compared prevalence estimates of self-rated health (SRH) derived indirectly using four different small area estimation methods for the Vadu (small) area from the national Study on Global AGEing (SAGE) survey with estimates derived directly from the Vadu SAGE survey. The indirect synthetic estimate for Vadu was 24% whereas the model based estimates were 45.6% and 45.7% with smaller prediction errors and comparable to the direct survey estimate of 50%. The model based techniques were better suited to estimate the prevalence of SRH than the indirect synthetic method. We conclude that a simplified mixed effects regression model can produce valid small area estimates of SRH.

Keywords: Empirical best linear unbiased prediction; Hierarchical Bayes estimation; Self-rated health; Small area estimation.

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Figures

Fig. 1
Fig. 1
Small area (district) level effects (with 95% confidence intervals) for prevalence of good SRH, Maharashtra (n=625).
Fig. 2
Fig. 2
Comparison of HB and indirect synthetic estimate (panel A), and HB and GLLAMM estimate (panel B) of prevalence of good SRH with direct survey estimate for districts in Maharashtra, India. Districts are labelled by their codes. Solid line indicates perfect correlation with direct survey estimate.
Fig. 3
Fig. 3
District (small area) level model based estimate of prevalence of good SRH, Maharashtra (n=625).
See this image and copyright information in PMC

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