ArticleHand (New York, N.Y.)2023
Hand Trauma Virtual Clinics Prove Effective During the COVID-19 Pandemic.
Article in Hand (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Telemedicine in Plastic Surgery: A Systematic Review and Meta-analysis of Utilization and Outcomes Pre- and Post-pandemic.Aesthetic plastic surgery · 2026Pooled it
- Telemedicine in Plastic Surgery: Satisfaction, Safety, and the Need for Ethical and Regulatory Frameworks.Plastic and reconstructive surgery. Global open · 2026Article
- Virtual Acute Shoulder Clinic (VASC): A Safe, Sustainable and Cost-Effective Model.Indian journal of orthopaedics · 2025Article
- Evaluation of the COVID-19 Infection Rate in the Perioperative Period of Elective Surgeries of the Hand and Microsurgery.Hand (New York, N.Y.) · 2023Article
- The Role of Telemedicine in Prehospital Traumatic Hand Injury Evaluation.Diagnostics (Basel, Switzerland) · 2023Review
- The Logistics of Medication and Patient Flow in Video-Based Virtual Clinics During a Sudden COVID-19 Outbreak in Taiwan: Observational Study.Interactive journal of medical research · 2022Article
- Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDue to the devastating and far-reaching impact of the novel COVID-19 pandemic, hospital resources have been redirected to protect patients and health care staff, thereby vastly reducing the capacity for outpatient follow-up within a busy Plastic Surgery and Hand Trauma center. Through the use of telephone and video technology, virtual clinics were rapidly introduced to reduce hospital footfall.
methodsThis retrospective cohort study analyzed patient experiences in virtual and traditional face-to-face clinics through the month of April 2020, from the second week of the government-imposed lockdown. A 5-point Visit-Specific Satisfaction Questionnaire was used to subsequently collect patients' feedback regarding their appointments.
resultsA total of 107 hand injury-related follow-up appointments were recorded during the 4-week period. Sixty (56.0%) appointments were performed as a virtual consultation, and 47 (43.9%) face-to-face consultations were carried out on site. It was possible to discharge 43.3% from the virtual clinic group and 57.4% from the face-to-face group. We identified no significant difference in patient satisfaction (
conclusionVirtual clinics appear to be safe and effective for the follow-up of patients with traumatic hand injuries during the COVID-19 pandemic. This approach may prove beneficial in terms of workforce organization, reducing waiting times, and providing an alternative for patients unable to attend physical appointments.
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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.