Evidence map›Paper›PMID 38867100›Full record

Observational studyJournal of general internal medicine2024

Impact of a Remote Primary Care Telehealth Staffing Model on Primary Care Access in the Veterans Health Administration.

Amy M J O'Shea, Bjarni Haraldsson, Matthew R Augustine, Ariana Shahnazi, Kailey Mulligan, Peter J Kaboli

Abstract readObservational Study
In one paragraph

Observational study in Journal of general internal medicine, 2024. 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. Observational
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

6 authors.

Amy M J O'SheaCenter for Access and Delivery Research and Evaluation (CADRE) at the Iowa City VA Healthcare System, Iowa City, IA, USA.ORCID 0000-0003-3272-7952
Bjarni HaraldssonCenter for Access and Delivery Research and Evaluation (CADRE) at the Iowa City VA Healthcare System, Iowa City, IA, USA.ORCID 0000-0002-3951-408X
Matthew R AugustineGeriatric Research Education and Clinical Center, James J Peters VA Medical Center, Bronx, NY, USA.ORCID 0000-0003-0232-663X
Ariana ShahnaziCenter for Access and Delivery Research and Evaluation (CADRE) at the Iowa City VA Healthcare System, Iowa City, IA, USA. ariana.shahnazi@va.gov.ORCID 0000-0001-7706-3817
Kailey MulliganCenter for Access and Delivery Research and Evaluation (CADRE) at the Iowa City VA Healthcare System, Iowa City, IA, USA.ORCID 0000-0003-1603-8671
Peter J KaboliCenter for Access and Delivery Research and Evaluation (CADRE) at the Iowa City VA Healthcare System, Iowa City, IA, USA.ORCID 0000-0003-0993-0952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Veterans Health Administration (VHA) implemented the Clinical Resource Hub (CRH) program to fill staffing gaps in primary care (PC) clinics via telemedicine and maintain veterans' healthcare access.

objectiveTo evaluate PC wait times before and after CRH implementation.

designComparative interrupted time series analysis among a retrospective observational cohort of PC clinics who did and did not use CRH during pre-implementation (October 2018-September 2019) and post-implementation (October 2019-February 2020) periods.

participantsClinics completing ≥10 CRH visits per month for 2 consecutive months and propensity matched control clinics. MAIN MEASURES: Two measures of patient access (i.e., established, and new patient wait times) and one measure of clinic capacity (i.e., third next available appointment) were assessed. Clinics using CRH were 1:1 propensity score matched across clinical and demographic characteristics. Comparative interrupted time series models used linear mixed effects regression with random clinic-level intercepts and triple interaction (i.e., CRH use, pre- vs. post-implementation, and time) for trend and point estimations. KEY

resultsPC clinics using CRH (N = 79) were matched to clinics not using CRH (N = 79). In the 12-month pre-implementation, third next available time increased in CRH clinics (0.16 days/month; 95% CI = [0.07, 0.25]), and decreased in the 5 months post-implementation (-0.58 days/month; 95% CI = [-0.90, -0.27]). Post-implementation third next available time also decreased in control clinics (-0.48 days/month; 95% CI = [-0.81, -0.17]). Comparative differences remained non-significant. There were no statistical differences in established or new patient wait times by CRH user status, CRH implementation, or over time.

conclusionsIn a national VHA telemedicine program developed to provide gap coverage for PC clinics, no wait time differences were observed between clinics using and not using CRH services. This hub-and-spoke telemedicine service is an effective model to provide gap coverage while maintaining access. Further investigation of quality and long-term access remains necessary.

Indexed as

Health Services AccessibilityPrimary Health CareTelemedicineUnited States Department of Veterans AffairsAgedFemaleHumansInterrupted Time Series AnalysisMaleMiddle AgedRetrospective StudiesUnited Statesprimary carerural veteranstelemedicineUnited States Department of Veterans Affairsveterans

Identifiers

PMID38867100
PMCPMC11535148

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.