Evidence map›Paper›PMID 34551778›Full record

ArticleHealth and quality of life outcomes2021

Measuring population health: association of self-rated health and PROMIS measures with social determinants of health in a cross-sectional survey of the US population.

Janel Hanmer

Abstract read
In one paragraph

Article in Health and quality of life outcomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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  10. FindingFrontiers in robotics and AI · 2022
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

1 author.

Janel HanmerDepartment of General Medicine, University of Pittsburgh, 230 McKee Place, Pittsburgh, PA, 15213, USA. hanmerjz@upmc.edu.ORCID http://orcid.org/0000-0001-6159-2482

Funding

Robert Wood Johnson Foundation 74695
6 · The paper itself

Abstract

backgroundSelf-reported health-related quality of life is an important population health outcome, often assessed using a single question about self-rated health (SRH). The Patient Reported Outcomes Measurement Information System (PROMIS) is a new set of measures constructed using item response theory, so each item contains information about an underlying construct. This study's objective is to assess the association between SRH and PROMIS scores and social determinants of health (SDoH) to evaluate the use of PROMIS for measuring population health.

methodsA cross sectional survey of 4142 US adults included demographics, 7 PROMIS domains with 2 items each, the PROMIS-preference (PROPr) score, self-rated health (SRH), 30 social determinants of health (SDoH), and 12 chronic medical conditions. SDoH and chronic condition impact estimates were created by regressing the outcome (PROMIS domain, PROPr, or SRH) on demographics and SDoH or a single chronic condition. Linear regression was used for PROMIS domains and PROPr; ordinal logistic regression was used for SRH.

resultsBoth SRH and PROPr detected statistically significant differences for 11 of 12 chronic conditions. Of the 30 SDoH, 19 statistically significant differences were found by SRH and 26 statistically significant differences by PROPr. The SDoH with statistically significant differences included those addressing education, income, financial insecurity, and social support. The number of statistically significant differences found for SDoH varies by individual PROMIS domains from 13 for Sleep Disturbance to 25 for Physical Function.

conclusionsSRH is a simple single question that provides information about health-related quality of life. The 14 item PROMIS measure used in this study detects more differences in health-related quality of life for social determinants of health than SRH. This manuscript illustrates the relative costs and benefits of each approach to measuring health-related quality of life.

Indexed as

Population HealthQuality of LifeSocial Determinants of HealthAdultCross-Sectional StudiesHumansSelf ReportHealth-related quality of lifePopulation healthPROMISSelf-rated healthSocial determinants of health

Identifiers

PMID34551778
PMCPMC8459525

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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.