Evidence map›Paper›PMID 40964419›Full record

ArticleJournal of Appalachian health2025

Addressing the Root Causes of Population Health in Central Appalachian Virginia.

David L Driscoll, Kol Gold

Abstract read
In one paragraph

Article in Journal of Appalachian health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

David L DriscollHealthy Appalachia Institute, UVA Wise.
Kol GoldHealthy Appalachia Institute, UVA Wise.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Southwest Virginia Health Authority (SWVHA) recently commissioned a community health needs assessment (CHNA) to reduce the high rate of preventable health problems in Virginia's (VA) Appalachian Region. The CHNA took place over a two-year period from 2023 - 2025. Purpose: This iterative, mixed-method CHNA informed the development of a new iteration of the regional Methods: The CHNA followed a sequential mixed methods design to assess the regional health status, the contextual factors associated with any health disparities identified, and the development of a participatory community health improvement plan to modify those contextual factors. The sequential approach involved three phases: in Phase 1, the study team collected and compiled primarily quantitative secondary data from local and regional sources. These data informed the subsequent collection and analysis of quantitative and qualitative data in Phase 2, and the data from Phase 2 informed development of a collaborative community-based strategic implementation plan in Phase 3. Results: The all-cause mortality rate for the region is roughly double the state average. Residents are dying at a higher rate, and at younger ages, due to inadequate access to quality health care, educational opportunities, income stability, and treatments for substance use disorder. Community stakeholders recommended interventions to address the combination of access to quality care and rurality, employment/income, trauma, and substance use disorder, and education and nutrition. Based on these priorities, seven local non-profit organizations were selected for implementation funding. Implications: This iterative effort supported the development of integrated and community-based population health interventions in the region. Future regional community health assessments will apply similar methods to evaluate progress on these projects and recalibrate regional efforts in response to evolving local needs and priorities.

Indexed as

AppalachiaIntervention ScienceSDOHVirginia

Identifiers

PMID40964419
PMCPMC12440310

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.