title: Self-rated health: small area large area comparisons amongst older adults at the state, district and sub-district level in India.
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.
authors.affiliation: Vadu Rural Health Program, KEM Hospital Research Center, Pune, India; Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden. Electronic address: sidbela@vsnl.com.
authors.forename: Siddhivinayak
authors.initials: S
authors.lastname: Hirve
authors.affiliation: Swiss Tropical and Public Health Institute, Basel, Switzerland. Electronic address: penelope.vounatsou@unibas.ch.
authors.forename: Penelope
authors.initials: P
authors.lastname: Vounatsou
authors.affiliation: Vadu Rural Health Program, KEM Hospital Research Center, Pune, India. Electronic address: sanjay.juvekar@gmail.com.
authors.forename: Sanjay
authors.initials: S
authors.lastname: Juvekar
authors.affiliation: Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden. Electronic address: yulia.blomstedt@epiph.umu.se.
authors.forename: Yulia
authors.initials: Y
authors.lastname: Blomstedt
authors.affiliation: Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden. Electronic address: stig.wall@epiph.umu.se.
authors.forename: Stig
authors.initials: S
authors.lastname: Wall
authors.affiliation: World Health Organization, Geneva, Switzerland. Electronic address: chatterjis@who.int.
authors.forename: Somnath
authors.initials: S
authors.lastname: Chatterji
authors.affiliation: Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden. Electronic address: Nawi.Ng@epiph.umu.se.
authors.forename: Nawi
authors.initials: N
authors.lastname: Ng
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D059026:Diagnostic Self Evaluation; D005260:Female; D006304:Health Status; D006801:Humans; D007194:India; D008297:Male; D008875:Middle Aged; D017062:Small-Area Analysis
keywords: Empirical best linear unbiased prediction; Hierarchical Bayes estimation; Self-rated health; Small area estimation