Evidence map›Paper›PMID 40233020›Full record

Observational studyJournal of telemedicine and telecare2026

Healthcare utilization in a cohort receiving chronic disease specialty care by video telemedicine compared to propensity-matched adults not using telemedicine.

Elizabeth D Ferucci, Rabecca I Arnold, Peter Holck

Abstract readObservational StudyComparative Study
In one paragraph

Observational study in Journal of telemedicine and telecare, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Elizabeth D FerucciAlaska Native Tribal Health Consortium, Research Services Department, Division of Community Health Services, Anchorage, Alaska, USA.ORCID 0000-0003-0478-8205
Rabecca I ArnoldAlaska Native Tribal Health Consortium, Research Services Department, Division of Community Health Services, Anchorage, Alaska, USA.
Peter HolckAlaska Native Tribal Health Consortium, Research Services Department, Division of Community Health Services, Anchorage, Alaska, USA.ORCID 0000-0002-9805-5151

Funding

AHRQ HHS R01 HS026208
6 · The paper itself

Abstract

IntroductionTelemedicine use has undergone rapid transformation in recent years. We designed this study to evaluate factors associated with telemedicine use and modality and the association with telemedicine use and healthcare utilization in a post-pandemic period.MethodsThis observational study included four regions of the Alaska Tribal Health System. We used electronic health record data to evaluate a cohort of adults who had chronic disease specialty care visits, with or without telemedicine, between July 1, 2021 to December 31, 2021 for factors associated with telemedicine use and modality. We then evaluated the association between telemedicine use and healthcare utilization in 2022. We used propensity score matching to improve covariate balance between adults who had used telemedicine or not, and then estimated the effect of telemedicine on outcomes (inpatient hospitalizations, outpatient visits, and emergency department visits) using multivariable models.ResultsAdults who used telemedicine were slightly older, had more chronic conditions and clinic visits, and resided in different regions compared to those who did not, with differences also observed between telemedicine modalities. The incident rate ratio for inpatient visits (1.16, p = 0.28), outpatient visits (1.15, p = 0.13), and emergency department visits (1.12, p = 0.36) were higher but not statistically significant for adults using telemedicine when compared to individuals not using telemedicine.DiscussionWe found a non-significant association of higher rates of inpatient, outpatient, and emergency department visits in people who used telemedicine compared to propensity-matched "controls." These findings should be considered in context of potential benefits of telemedicine and patient preference.

Indexed as

Patient Acceptance of Health CareTelemedicineAdultAgedAlaskaChronic DiseaseCOVID-19Emergency Service, HospitalFemaleHospitalizationHumansMaleMiddle AgedPropensity ScoreTelemedicine, chronic disease, preference, healthcare utilization

Identifiers

PMID40233020
PMCPMC12354342

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.