ArticleClinics in shoulder and elbow2022
Patient satisfaction in shoulder arthroscopy: telemedicine vs. clinic follow-up visits.
Article in Clinics in shoulder and elbow, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- The development of evaluation scale of the patient satisfaction with telemedicine: a systematic review.BMC medical informatics and decision making · 2024Pooled it
- Digital Literacy and Patient Satisfaction in Telemedicine Follow-Up With In-Person App Instruction Versus Outpatient Department Follow-Up After Upper-Extremity Surgery: A Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- Telemedicine for rotator cuff syndrome: Asynchronous exercise and remote follow-up in a randomized controlled study.PloS one · 2026Trial
- Tele-Rehabilitation and Tele-Diagnostics in Shoulder Disorders: Current Evidence, Challenges, and Future Directions-A Narrative Review.Journal of clinical medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of telemedicine for postoperative visits is increasing, especially in rural areas. Few studies have investigated its use for arthroscopic shoulder patients. This study aims to evaluate patient satisfaction with telemedicine for postoperative clinic visits following arthroscopic shoulder procedures in a rural setting.
methodsPatients were prospectively enrolled using the following exclusion criteria: <18 years, open procedures, and non-compliance follow-up at 6 weeks postoperatively. All patients completed a 13-question satisfaction survey, while telemedicine patients completed an additional, separate seven-question survey. Patients who switched groups completed a four-question prompt to determine the reasons for switching. Differences between groups were evaluated by either Student t-test or Mann-Whitney U-test.
resultsThe study enrolled 32 patients, with five patients following up by telemedicine and 27 in person. Age and distance from clinic were similar between patients who were assigned to the telemedicine group, completed the telemedicine visit, and opted for in-person visits (all p>0.05). Patient satisfaction did not vary significantly based on care by the surgeon, concerns being addressed, thoroughness of visit, overall clinical assessment at a prior visit, and improvements in pain and physical function (all p>0.05). Among patients who opted out of telemedicine visits, the most common reason was a preference to meet in-person but these patients agreed that telemedicine visits are a good idea.
conclusionsRegardless of type of follow-up, individuals reported similar levels of satisfaction with treatment during the visit and improvements in pain and physical function.
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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.