Evidence map›Paper›PMID 24361576›Full record

ArticleHealth & place2014

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

Siddhivinayak Hirve, Penelope Vounatsou, Sanjay Juvekar, Yulia Blomstedt, Stig Wall, Somnath Chatterji, Nawi Ng

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Health & place, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Siddhivinayak HirveVadu 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.
Penelope VounatsouSwiss Tropical and Public Health Institute, Basel, Switzerland. Electronic address: penelope.vounatsou@unibas.ch.
Sanjay JuvekarVadu Rural Health Program, KEM Hospital Research Center, Pune, India. Electronic address: sanjay.juvekar@gmail.com.
Yulia BlomstedtUmeå 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.
Stig WallUmeå 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.
Somnath ChatterjiWorld Health Organization, Geneva, Switzerland. Electronic address: chatterjis@who.int.
Nawi NgUmeå 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.

Funding

Towards improving the measurement of health and disability trends, the compressioR01AG034479 · NIA · WORLD HEALTH ORGANIZATION · PI CHATTERJI, SOMNATH · 2010 to 2014
$5.3M
NCI NIH HHS YA1323-08-CN-0020NIA NIH HHS R01 AG034479NIA NIH HHS R01-AG034479NIA NIH HHS Y1-AG-1005-01PHS HHS OGHA04034785World Health Organization 001
6 · The paper itself

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.

Indexed as

Diagnostic Self EvaluationHealth StatusAgedAged, 80 and overFemaleHumansIndiaMaleMiddle AgedSmall-Area AnalysisEmpirical best linear unbiased predictionHierarchical Bayes estimationSelf-rated healthSmall area estimation

Identifiers

PMID24361576
PMCPMC3944101

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.