Evidence map›Paper›PMID 42715557›Full record

ArticleJMIR human factors2026

Examining Telemedicine Adoption After the COVID-19 Pandemic and Evaluating the Impact of a Virtual Hospital on Clinician Engagement: Longitudinal Survey Study.

Galia Barkai, Shany Edelman-Yaron, Hadar Amir, Havi Inbar-Lankry, Rachel Sarafraz

Abstract read
In one paragraph

Article in JMIR human factors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Galia BarkaiSheba BEYOND Virtual Hospital, Sheba Medical Center, Ramat Gan, Israel.ORCID https://orcid.org/0000-0002-0775-9015
Shany Edelman-YaronSheba BEYOND Virtual Hospital, Sheba Medical Center, Ramat Gan, Israel.ORCID https://orcid.org/0009-0009-1811-1386
Hadar AmirSheba BEYOND Virtual Hospital, Sheba Medical Center, Ramat Gan, Israel.ORCID https://orcid.org/0009-0001-5389-770X
Havi Inbar-LankrySheba Medical Center, Ramat Gan, Tel Aviv, Israel.ORCID https://orcid.org/0000-0002-1708-5296
Rachel SarafrazSheba BEYOND Virtual Hospital, Sheba Medical Center, Ramat Gan, Israel.ORCID https://orcid.org/0009-0005-1613-1552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfter the emergence of telemedicine as a major health care delivery mode during the COVID-19 pandemic, Sheba Medical Center (SMC) rapidly transitioned its outpatient clinics to telemedicine. A postimplementation satisfaction study revealed that while nearly 90% of patients reported a positive experience, only 38% of clinicians expressed high satisfaction. SMC soon established Sheba BEYOND, a dedicated virtual hospital. This initiative was accompanied by extensive efforts to improve the telemedicine experience. In 2025, a follow-up survey addressing clinician satisfaction and acceptance was conducted.

objectiveThis study aimed to explore whether clinician satisfaction improved and which barriers to clinician engagement persisted.

methodsAn anonymous survey was distributed via a link to the staff of SMC's outpatient clinics. The survey inquired about user experience with the telemedicine digital platform, integration in workflow, barriers to use, perceived benefit to patients, and overall satisfaction. Clinicians who never or rarely perform telemedicine visits were classified as nonusers; all others were classified as users. The questionnaire included 21 questions, 2 additional questions for nonusers, and 5 additional questions for users. Overall satisfaction was ranked on a 10-point Likert scale. Descriptive statistics were calculated using SPSS (version 29.02; IBM Corp) and Microsoft Excel. A chi-square test of independence was used for categorical variables. We used a 2-tailed t test, with a probability of <.05 considered statistically significant.

resultsThe survey was sent to 2735 clinicians, and 274 (10%) responded. Telemedicine users accounted for 52.6% (144/274). Among all respondents, 54.4% (149/274) were physicians, 30.3% (83/274) were paramedical staff, and 15.3% (42/274) were nurses. Clinical specialties across all respondents were internal medicine (36/274, 13%), psychiatry (34/274, 12%), pediatrics (36/274, 13%), oncology (31/274, 11%), and other specialties (137/274, 50%). Compared to the 2020 survey, a 41.9% increase was recorded in the number of users reporting a high level of satisfaction, from 37.7% (61/162) to 53.5% (77/144; P=.006). This increase was largely driven by a significant improvement in the oncology clinic, where users reporting a high level of satisfaction rose from 23.3% (10/43) to 63.6% (14/22; P=.01). In total, 64.4% (176/274) of respondents believed that telemedicine was advantageous for patient care and 66% (95/144) of users reported that telemedicine reduced their workload. Among the 103 video-visit users who answered the technical feedback questions, 62.1% (64/103) experienced problems in connecting to the patients' network and 32% (33/103) experienced connectivity problems in SMC. In fact, 80.6% (83/103) reported that they had to switch to the telephone at least once. Most of the 98 nonusers (80/98, 81.6%) stated that they did not perform telemedicine because it was mostly clinically inappropriate.

conclusionsThis study demonstrates the positive impact of institutional change management strategy in promoting clinician engagement with telemedicine. However, persistent technical barriers and varying engagement highlight opportunities for refinement.

Indexed as

Attitude of Health PersonnelCOVID-19TelemedicineAdultDigital HealthFemaleHumansLongitudinal StudiesMaleMiddle AgedPandemicsPhysician EngagementSARS-CoV-2Surveys and Questionnaireschange managementclinician engagementclinician satisfactionhealth personnel attitudesimplementation barrierstelehealthtelemedicinevideo consultationsvirtual hospital

Identifiers

PMID42715557
PMCPMC13601868

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.