Evidence map›Paper›PMID 38252240›Full record

Observational studyJournal of general internal medicine2024

Healthcare Utilization Differences Among Primary Care Patients Using Telemedicine in the Veterans Health Administration: a Retrospective Cohort Study.

Amy M J O'Shea, Kailey Mulligan, Paige Carlson, Bjarni Haraldsson, Matthew R Augustine, Peter J Kaboli, Stephanie L Shimada

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. 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

7 authors.

Amy M J O'SheaVA Office of Rural Health, Veterans Rural Health Resource Center-Iowa City (VRHRC-IC), Iowa City VA Healthcare System, Iowa City, IA, 52246-2208, USA. amy.oshea@va.gov.ORCID 0000-0003-3272-7952
Kailey MulliganCenter for Access and Delivery Research and Evaluation (CADRE), Iowa City VA Healthcare System, Iowa City, IA, 52246-2208, USA.ORCID 0000-0003-1603-8671
Paige CarlsonDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, 52242, USA.ORCID 0000-0003-0122-6792
Bjarni HaraldssonCenter for Access and Delivery Research and Evaluation (CADRE), Iowa City VA Healthcare System, Iowa City, IA, 52246-2208, 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
Peter J KaboliVA Office of Rural Health, Veterans Rural Health Resource Center-Iowa City (VRHRC-IC), Iowa City VA Healthcare System, Iowa City, IA, 52246-2208, USA.ORCID 0000-0003-0993-0952
Stephanie L ShimadaCenter for Healthcare Organization and Implementation Research (CHOIR) at the Bedford VA Medical Center, Bedford, MA, USA.ORCID 0000-0002-6517-5122

Funding

Health Services Research and Development CIN13-412HSRD VA CIN 13-412
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic encouraged telemedicine expansion. Research regarding follow-up healthcare utilization and primary care (PC) telemedicine is lacking.

objectiveTo evaluate whether healthcare utilization differed across PC populations using telemedicine.

designRetrospective observational cohort study using administrative data from veterans with minimally one PC visit before the COVID-19 pandemic (March 1, 2019-February 28, 2020) and after in-person restrictions were lifted (October 1, 2020-September 30, 2021).

participantsAll veterans receiving VHA PC services during study period. MAIN MEASURES: Veterans' exposure to telemedicine was categorized as (1) in-person only, (2) telephone telemedicine (≥ 1 telephone visit with or without in-person visits), or (3) video telemedicine (≥ 1 video visit with or without telephone and/or in-person visits). Healthcare utilization 7 days after index PC visit were compared. Generalized estimating equations estimated odds ratios for telephone or video telemedicine versus in-person only use adjusted for patient characteristics (e.g., age, gender, race, residential rurality, ethnicity), area deprivation index, comorbidity risk, and intermediate PC visits within the follow-up window. KEY

resultsOver the 2-year study, 3.4 million veterans had 12.9 million PC visits, where 1.7 million (50.7%), 1.0 million (30.3%), and 649,936 (19.0%) veterans were categorized as in-person only, telephone telemedicine, or video telemedicine. Compared to in-person only users, video telemedicine users experienced higher rates per 1000 patients of emergent care (15.1 vs 11.2; p < 0.001) and inpatient admissions (4.2 vs 3.3; p < 0.001). In adjusted analyses, video versus in-person only users experienced greater odds of emergent care (OR [95% CI]:1.18 [1.16, 1.19]) inpatient (OR [95% CI]: 1.29 [1.25, 1.32]), and ambulatory care sensitive condition admission (OR [95% CI]: 1.30 [1.27, 1.34]).

conclusionsTelemedicine potentially in combination with in-person care was associated with higher follow-up healthcare utilization rates compared to in-person only PC. Factors contributing to utilization differences between groups need further evaluation.

Indexed as

COVID-19TelemedicineHumansInpatientsPandemicsPatient Acceptance of Health CarePrimary Health CareRetrospective StudiesVeterans HealthCOVID-19internet accessprimary caretelemedicineveterans

Identifiers

PMID38252240
PMCPMC10937860

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.