Evidence map›Paper›PMID 38540606›Full record

ArticleHealthcare (Basel, Switzerland)2024

Geographic, Patient, and VA Medical Center Variation in the Receipt and Mode of Primary Care in a National Sample of Veterans with Diabetes during 2020.

Melanie Davis, Brian Neelon, John L Pearce, Danira Medunjanin, Elizabeth Bast, Robert Neal Axon, Hermes Florez, Kelly J Hunt

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Melanie DavisCharleston Health Equity and Rural Outreach Innovation Center (HEROIC), Ralph H Johnson VA Medical Center, Charleston, SC 29401, USA.ORCID 0000-0001-8225-5506
Brian NeelonDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA.
John L PearceDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA.
Danira MedunjaninCharleston Health Equity and Rural Outreach Innovation Center (HEROIC), Ralph H Johnson VA Medical Center, Charleston, SC 29401, USA.
Elizabeth BastDepartment of Ambulatory Medicine, Bruce W. Carter VA Medical Center, Miami, FL 33125, USA.
Robert Neal AxonCharleston Health Equity and Rural Outreach Innovation Center (HEROIC), Ralph H Johnson VA Medical Center, Charleston, SC 29401, USA.
Hermes FlorezCharleston Health Equity and Rural Outreach Innovation Center (HEROIC), Ralph H Johnson VA Medical Center, Charleston, SC 29401, USA.
Kelly J HuntCharleston Health Equity and Rural Outreach Innovation Center (HEROIC), Ralph H Johnson VA Medical Center, Charleston, SC 29401, USA.

Funding

Examining linkages between disrupted care and chronic disease outcomes during the COVID-19 pandemic: a VAMC level spatio-temporal analysisI01HX003577 · VA · RALPH H JOHNSON VA MEDICAL CENTER · PI HUNT, KELLY J, NEELON, BRIAN · 2023 to 2025
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HSRD VA I01 HX003577VHA Health Services Research and Development program. K.J.H. and B.N. Grants HX002299-01A2 and HX003577-01A2/SDR 21-226-3
6 · The paper itself

Abstract

While telemedicine infrastructure was in place within the Veterans Health Administration (VHA) healthcare system before the onset of the COVID-19 pandemic, geographically varying ordinances/closures disrupted vital care for chronic disease patients such as those with type 2 diabetes. We created a national cohort of 1,647,158 non-Hispanic White, non-Hispanic Black, and Hispanic veterans with diabetes including patients with at least one primary care visit and HbA1c lab result between 3.5% and 20% in the fiscal year (FY) 2018 or 2019. For each VAMC, the proportion of telehealth visits in FY 2019 was calculated. Two logistic Bayesian spatial models were employed for in-person primary care or telehealth primary care in the fourth quarter of the FY 2020, with spatial random effects incorporated at the VA medical center (MC) catchment area level. Finally, we computed and mapped the posterior probability of receipt of primary care for an "average" patient within each catchment area. Non-Hispanic Black veterans and Hispanic veterans were less likely to receive in-person primary care but more likely to receive tele-primary care than non-Hispanic white veterans during the study period. Veterans living in the most socially vulnerable areas were more likely to receive telehealth primary care in the fourth quarter of FY 2020 compared to the least socially vulnerable group but were less likely to receive in-person care. In summary, racial minorities and those in the most socially vulnerable areas were less likely to receive in-person primary care but more likely to receive telehealth primary care, potentially indicating a disparity in the impact of the pandemic across these groups.

Indexed as

chronic disease managementhealth geographyhealth services research

Identifiers

PMID38540606
PMCPMC10970186

What OpenQuestion holds

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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.