ArticleTelemedicine reports2023
Factors Associated with the Digital Patient Experience of Virtual Care Across Specialties.
Article in Telemedicine reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 8 citations in OpenAlex.
- Disparities in patient experience with video and audio-only virtual care.Journal of telemedicine and telecare · 2026Article
- An approach to evaluating the impact of virtual specialty care: the Veterans Health Administration's clinical resource hub as case study.JAMIA open · 2025Review
- Assessing patient experiences with a Virtual Triage and Assessment Centre (VTAC): a mixed-methods study using an online survey and semi-structured interviews in Renfrew County, Ontario.BMC primary care · 2025Article
- Critical Domains Within the Self-Reported Patient Experience of Virtual Care.JAMA network open · 2024Article
- AI and Technology Enabled Clinical Workflow Redesign.Telemedicine reports · 2024Article
- Evaluating Patient Experience with Integrated Virtual Care (IVC), a Hybrid Primary Care Model in Rural Ontario, Canada: A Cross-Sectional Survey.Journal of primary care & community healthArticle
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: We aimed to characterize patient experience with virtual care across medical specialties using validated survey data. Primary objective: to determine whether experience varied by visit modality (virtual vs. in-person) and whether relationships persisted after adjusting for patient and provider characteristics. Secondarily, among physicians with sufficient data, we compared virtual versus in-person patient experience scores at the physician level and identified characteristics associated with better experience scores for virtual care. Methods: This was a retrospective analysis of administrative databases from a large New England health care system, including all ambulatory visits from October 1, 2020 to September 30, 2021 with patient experience scores recorded. We compared experience between virtual and in-person at the visit level (score: 0-10) and the physician level for likelihood of recommending the physician to friends or family. We used a series of cross-classified hierarchical models with visits grouped by patient and by physician to decompose sources of variation. Among physicians with sufficient data, we compared physicians with higher virtual versus higher in-person net promoter score (NPS). Results: Of 378,472 visits performed by 3368 physicians, 86,878 (23%) were conducted virtually. Most scored ≥9 for either modality, with a small preference for virtual versus in-person care (9.6 vs. 9.5, Conclusions: We found robust evidence for the parity of patient experience between virtual and in-person modalities across specialties.
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.