Evidence map›Paper›PMID 37788228›Full record

ArticlePLOS global public health2023

Rural-urban disparities in health outcomes, clinical care, health behaviors, and social determinants of health and an action-oriented, dynamic tool for visualizing them.

William B Weeks, Ji E Chang, José A Pagán, Jeffrey Lumpkin, Divya Michael, Santiago Salcido, Allen Kim, Peter Speyer, Ann Aerts, James N Weinstein and 1 more

Abstract read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 3 pooled it
–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

101 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Implementation of Change Club action plans to promote built environment change in rural communities.The international journal of behavioral nutrition and physical activity · 2026
    Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Global burden of age-related macular degeneration: Trends, regional disparities, and projections from the Global Burden of Disease study 2021.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Article
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  12. Review
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  19. Young adult urbanicity, late midlife neighborhood disadvantage, and cognitive functioning in community-dwelling older men.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
    Article
  20. Article

41 more citing papers are in PubMed but not listed here.

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

11 authors.

William B WeeksAI for Good Lab, Microsoft Corporation, Redmond, Washington, United States of America.
Ji E ChangSchool of Global Public Health, New York University, New York, New York, United States of America.
José A PagánSchool of Global Public Health, New York University, New York, New York, United States of America.ORCID https://orcid.org/0000-0002-8915-9602
Jeffrey LumpkinAI for Good Lab, Microsoft Corporation, Redmond, Washington, United States of America.
Divya MichaelAI for Good Lab, Microsoft Corporation, Redmond, Washington, United States of America.
Santiago SalcidoAI for Good Lab, Microsoft Corporation, Redmond, Washington, United States of America.ORCID https://orcid.org/0009-0009-9641-6513
Allen KimAI for Good Lab, Microsoft Corporation, Redmond, Washington, United States of America.
Peter SpeyerNovartis Foundation, Basel, Switzerland.
Ann AertsNovartis Foundation, Basel, Switzerland.
James N WeinsteinMicrosoft Research, Microsoft Corporation, Redmond, Washington, United States of America.
Juan M LavistaAI for Good Lab, Microsoft Corporation, Redmond, Washington, United States of America.

Funding

New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
NIDDK NIH HHS P30 DK111022
6 · The paper itself

Abstract

While rural-urban disparities in health and health outcomes have been demonstrated, because of their impact on (and intervenability to improve) health and health outcomes, we sought to examine cross-sectional and longitudinal inequities in health, clinical care, health behaviors, and social determinants of health (SDOH) between rural and non-rural counties in the pre-pandemic era (2015 to 2019), and to present a Health Equity Dashboard that can be used by policymakers and researchers to facilitate examining such disparities. Therefore, using data obtained from 2015-2022 County Health Rankings datasets, we used analysis of variance to examine differences in 33 county level attributes between rural and non-rural counties, calculated the change in values for each measure between 2015 and 2019, determined whether rural-urban disparities had widened, and used those data to create a Health Equity Dashboard that displays county-level individual measures or compilations of them. We followed STROBE guidelines in writing the manuscript. We found that rural counties overwhelmingly had worse measures of SDOH at the county level. With few exceptions, the measures we examined were getting worse between 2015 and 2019 in all counties, relatively more so in rural counties, resulting in the widening of rural-urban disparities in these measures. When rural-urban gaps narrowed, it tended to be in measures wherein rural counties were outperforming urban ones in the earlier period. In conclusion, our findings highlight the need for policymakers to prioritize rural settings for interventions designed to improve health outcomes, likely through improving health behaviors, clinical care, social and environmental factors, and physical environment attributes. Visualization tools can help guide policymakers and researchers with grounded information, communicate necessary data to engage relevant stakeholders, and track SDOH changes and health outcomes over time.

Identifiers

PMID37788228
PMCPMC10547156

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.