Evidence map›Paper›PMID 39607997›Full record

ArticleJournal of medical Internet research2024

Opportunities to Address Specialty Care Deserts and the Digital Divide through the Veterans Health Administration's Telehealth Hub-and-Spoke Cardiology Clinic: Retrospective Cohort Study.

Rebecca Lauren Tisdale, Colin Purmal, Neil Kalwani, Alexander Sandhu, Paul Heidenreich, Donna Zulman, Tanvir Hussain

Abstract read
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Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

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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

7 authors.

Rebecca Lauren TisdaleCenter for Innovation to Implementation (Ci2i), Health Services Research, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID 0000-0003-2749-6889
Colin PurmalVA San Francisco Healthcare System, San Francisco, CA, United States.ORCID 0000-0003-0982-3911
Neil KalwaniCenter for Innovation to Implementation (Ci2i), Health Services Research, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID 0000-0003-0075-6206
Alexander SandhuDepartment of Medicine, School of Medicine, Stanford University, Stanford, CA, United States.ORCID 0000-0003-3208-1143
Paul HeidenreichCenter for Innovation to Implementation (Ci2i), Health Services Research, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID 0000-0001-7730-8490
Donna ZulmanCenter for Innovation to Implementation (Ci2i), Health Services Research, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID 0000-0001-8904-2810
Tanvir HussainVA San Francisco Healthcare System, San Francisco, CA, United States.ORCID 0009-0009-7032-2615

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo address geographic barriers to specialty care access for services such as cardiology, the Veterans Health Administration (VA) has implemented a novel, regionalized telehealth care hub. The Clinical Resource Hub (CRH) model extends care, including cardiology services, to individuals in low-access communities across the region. Little is known, however, about the reach of such programs.

objectiveThis study aimed to describe the initial CRH program implementation in terms of growth in users and clinical encounters, as well as the association between user characteristics and the use of CRH cardiology care, in VA's Sierra Pacific region (Northern California, Nevada, and the Pacific Islands).

methodsWe compared patients who used CRH cardiology services (CRH users) to those using non-CRH cardiology services (CRH nonusers) in the Sierra Pacific region between July 15, 2021, and March 31, 2023. After characterizing changes in the numbers of CRH users and nonusers and clinical encounters over the study period, we used multivariable logistic regression to estimate the association between patient-level factors and the odds of being a CRH user.

resultsThere were 804 CRH users over the study period, with 1961 CRH encounters concentrated at 3 main CRH sites. The CRH program comprised a minority of cardiology users and encounters in the region, with 19,583 CRH nonusers with 83,489 encounters. The numbers of CRH patients and encounters both increased at a steady-to-increasing rate over the study period, with increases of 37% (n=292 vs n=213) in users and 64% (n=584 vs n=356) in encounters in the first quarter of 2023 compared with the last quarter of 2022. Among CRH users, 8.3% (67/804) were female and 41.4% (333/804) were aged ≥75 years, compared with 4.3% (840/19,583) and 49% (9600/19,583), respectively, among CRH nonusers. The proportions of rural (users: 205/804, 25.5%; nonusers: 4936/19,583, 25.2%), highly disabled (users: 387/804, 48.1%; nonusers: 9246/19,583, 47.2%), and low-income (users: 165/804, 20.5%; nonusers: 3941/19,583, 20.1%) veterans in both groups were similar. In multivariable logistic models, adjusted odds ratios of using CRH were higher for female veterans (1.70, 95% CI 1.29-2.24) and lower for older veterans (aged ≥75 years; 0.33, 95% CI 0.23-0.47). Rural veterans also had a higher adjusted odds ratio of using CRH (1.19, 95% CI 1.00-1.42; P=.046).

conclusionsThe VA's Sierra Pacific CRH cardiology program grew substantially in its first 2 years of operation, serving disproportionately more female and rural veterans and similar proportions of highly disabled and low-income veterans compared to conventional VA care. This model appears to be effective for overcoming specialty care access barriers for certain individuals, although targeted efforts may be required to reach older veterans. While this study focuses on a single region, specialty, and health care system, lessons from implementing regionalized telehealth hub models may be applicable to other settings.

Indexed as

TelemedicineUnited States Department of Veterans AffairsAgedCardiologyCohort StudiesFemaleHealth Services AccessibilityHumansMaleMiddle AgedRetrospective StudiesUnited Statesaccesscardiologycardiovascular diseaseclinical resource hubCRHdigital dividelow incomeruralspecialty caretelehealthtelemedicineVAveteransVeterans Health AdministrationVHA

Identifiers

PMID39607997
PMCPMC11638694

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.