Evidence map›Paper›PMID 27833212›Full record

ArticlePublic opinion quarterly

Research in and Prospects for the Measurement of Health Using Self-Rated Health.

Dana Garbarski

Abstract read
In one paragraph

Article in Public opinion quarterly. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

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  12. Exploring the origin and conceptual framework of the EQ VAS.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Review
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  18. Observational
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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

1 author.

Dana Garbarski

Funding

Health Disparities Research Scholars Training Program-RenewalT32HD049302 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Maureen S Durkin · 2007 to 2026
$5.6M
NICHD NIH HHS T32 HD049302
6 · The paper itself

Abstract

Self-rated health (SRH)-for example, "in general would you say your health is excellent, very good, good, fair, or poor?"-is the most widely used measure of health across a range of survey research studies. This paper synthesizes extant research and provides a framework for future research on the measurement of health using SRH, focusing on four interrelated topics: the factors that influence respondents' health ratings, the survey measurement features of SRH, how SRH answers are analyzed, and the stated purpose of SRH as a proxy for more objective health or as a perception of health. Extant research on the health, psychological, and social factors influencing respondents' SRH answers is reviewed, as is research concerned with the survey measurement features of SRH that influence how respondents rate their health. The synthesis proposes a framework for future research that focuses on further explicating the factors that underlie respondents' SRH answers and improving features of SRH measurement and analysis in ways that are consistent with the various goals of the researchers who both collect and analyze the data.

Identifiers

PMID27833212
PMCPMC5099999

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.