ArticleJAMIA open2026
The telehealth engagement measure: a proportions-based measure of care delivered via video and phone for research, clinical, and policy assessments.
Article in JAMIA open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: In the absence of standardized measures, researchers have struggled to define meaningful use of telehealth (care received via video or telephone). We evaluated a novel Telehealth Engagement Measure (TEM) that quantifies an individual's telehealth use, including telephone (TEM-t) and video (TEM-v), as a percentage of total care received. Materials and Methods: In a retrospective cohort in the Veterans Health Administration (VHA), we identified 716,373 Veterans with at least three primary care visits between May 1, 2022 and April 31, 2023. We calculated the predicted annual TEM, TEM-t, and TEM-v stratified by age, gender, race/ethnicity, rurality, drive time, and Charlson Comorbidity Index, adjusting for patient demographics. Results: The mean unadjusted TEM was 21.7%, TEM-t was 15.1%, and TEM-v was 6.6%. The predicted annual TEM decreased with higher age until age 80 (15.1% (95% CI 14.7,15.5)). This was driven by reduced video care utilization, which peaked at 11.2% (95% CI 10.7,11.8) among Veterans aged 20 and declined after age 50 (6.5%, 95% CI 6.2, 6.8). A higher drive-time to VHA was associated with a higher TEM, while Veterans with higher comorbidity were associated with a higher TEM-t. Discussion: The TEM reflects the distribution of a person's care across different modalities The measure can be applied in research and clinical settings and can be leveraged to examine the longitudinal impact of telehealth on a host of outcomes. Conclusion: The TEM is a novel, proportions-based measure that can be used to assess telehealth utilization at various levels in a health care system.
Indexed as
Identifiers
What OpenQuestion holds
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.