Observational studyJournal of telemedicine and telecare2024
Health care utilization in Alaska Native people receiving chronic disease specialty care by videoconsultation compared to propensity-matched controls.
Observational study in Journal of telemedicine and telecare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Healthcare utilization in a cohort receiving chronic disease specialty care by video telemedicine compared to propensity-matched adults not using telemedicine.Journal of telemedicine and telecare · 2026Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
introductionPrevious studies have had mixed findings about the effects of telemedicine on health care utilization. We designed this study to assess differences in health care utilization between ever users of telemedicine for chronic disease specialty care compared to propensity-matched controls.
methodsThis observational study of usual care in the Alaska Tribal Health System evaluated telemedicine use (videoconsultation) and healthcare utilization using data from the electronic medical record between 1 January 2015 and 30 June 2019. Eligibility criteria included: age 18 and older, chronic condition diagnosis, and residing in one of four study regions. Cases had ever used telemedicine while controls had not. We used propensity score matching to achieve covariate balance between cases and controls, and then estimated the effect of telemedicine on outcomes using multivariable models. Outcomes included rates of hospitalizations, outpatient visits, and emergency department visits.
resultsCases (ever users of telemedicine) had higher hospitalization rates (rate ratio 1.31, DISCUSSION: We found higher rates of inpatient and outpatient health care utilization in people who had ever used telemedicine compared to propensity-matched controls, with potentially lower rates of emergency department visits. These findings contribute to the literature on telemedicine and should be considered in the context of other factors influencing telemedicine use and outcomes.
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Registered trials
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.