Evidence map›Paper›PMID 32948545›Full record

Observational studyBMJ open2020

Identifying characteristics of high-poverty counties in the United States with high well-being: an observational cross-sectional study.

Anita Arora, Erica S Spatz, Jeph Herrin, Carley Riley, Brita Roy, Elizabeth Y Rula, Kenneth Patton Kell, Harlan M Krumholz

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

8 authors.

Anita AroraDepartment of Internal Medicine, Section of General Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA anita.arora@yale.edu.ORCID 0000-0003-1073-5230
Erica S SpatzDepartment of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-1557-7713
Jeph HerrinDepartment of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-3671-3622
Carley RileyDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.ORCID 0000-0002-3782-0104
Brita RoyDepartment of Internal Medicine, Section of General Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-3782-0104
Elizabeth Y RulaTivity Health, Franklin, Tennessee, USA.ORCID 0000-0003-2188-1102
Kenneth Patton KellTivity Health, Franklin, Tennessee, USA.ORCID 0000-0002-4345-0795
Harlan M KrumholzDepartment of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0003-2046-127X

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NRSA Training CoreTL1TR001864 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$9.9M
Using Participatory Systems Modeling to Understand Community Influences on Cardiovascular HealthK08HL143133 · NHLBI · YALE UNIVERSITY · PI ROY, BRITA · 2019 to 2021
$502k
NCATS NIH HHS TL1 TR001864NCATS NIH HHS UL1 TR001863NHLBI NIH HHS K08 HL143133
6 · The paper itself

Abstract

objectiveTo identify county characteristics associated with high versus low well-being among high-poverty counties.

designObservational cross-sectional study at the county level to investigate the associations of 29 county characteristics with the odds of a high-poverty county reporting population well-being in the top quintile versus the bottom quintile of well-being in the USA. County characteristics representing key determinants of health were drawn from the Robert Wood Johnson Foundation County Health Rankings and Roadmaps population health model.

settingCounties in the USA that are in the highest quartile of poverty rate.

main outcome measureGallup-Sharecare Well-being Index, a comprehensive population-level measure of physical, mental and social health. Counties were classified as having a well-being index score in the top or bottom 20% of all counties in the USA.

resultsAmong 770 high-poverty counties, 72 were categorised as having high well-being and 311 as having low well-being. The high-well-being counties had a mean well-being score of 71.8 with a SD of 2.3, while the low-well-being counties had a mean well-being score of 60.2 with a SD of 2.8. Among the six domains of well-being, basic access, which includes access to housing and healthcare, and life evaluation, which includes life satisfaction and optimism, differed the most between high-being and low-well-being counties. Among 29 county characteristics tested, six were independently and significantly associated with high well-being (p<0.05). These were lower rates of preventable hospital stays, higher supply of primary care physicians, lower prevalence of smoking, lower physical inactivity, higher percentage of some college education and higher percentage of heavy drinkers.

conclusionsAmong 770 high-poverty counties, approximately 9% outperformed expectations, reporting a collective well-being score in the top 20% of all counties in the USA. High-poverty counties reporting high well-being differed from high-poverty counties reporting low well-being in several characteristics.

Indexed as

PovertySmokingCross-Sectional StudiesDelivery of Health CareHumansPrevalenceUnited Statesgeneral medicine (see internal medicine)health policypublic health

Identifiers

PMID32948545
PMCPMC7500307

What OpenQuestion holds

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Registered trials

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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.