ArticleJMIR dermatology2022
Patients' Experiences of Telemedicine for Their Skin Problems: Qualitative Study.
Article in JMIR dermatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 7 citations in OpenAlex.
- Understanding patient priorities in teledermatology for psoriasis: A discrete choice experiment.Journal of the European Academy of Dermatology and Venereology : JEADV · 2025Trial
- Patient Perceptions of Artificial Intelligence and Telemedicine in Dermatology: Narrative Review.JMIR dermatology · 2025Review
- Article
- The Use of Teledermatology for Skin Cancer Referrals: A Retrospective Study in a Single Tertiary Centre.Cureus · 2024Article
- Applications and Challenges of Telemedicine: Privacy-Preservation as a Case Study.Archives of Iranian medicine · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTeledermatology is a cost-effective treatment modality for the management of skin disorders. Most evaluations use quantitative data, and far less is understood about the patients' experience.
objectiveThis qualitative study aimed to explore patients' perceptions of a teledermatology service linking public primary care clinics to the national specialist dermatology clinic in Singapore. A better understanding of patients' experiences can help refine and develop the care provided.
methodsSemistructured in-depth interviews were conducted with patients who had been referred to the teledermatology service. The interviews were digitally recorded and transcribed before undergoing thematic content analysis.
resultsA total of 21 patients aged between 22 and 72 years were recruited. The following 3 themes were identified from the data of patients' experiences: positive perceptions of teledermatology, concerns about teledermatology, and ideas for improving the teledermatology service. The patients found the teledermatology service convenient, saving them time and expense and liberating them from the stresses incurred when making an in-person visit to a specialist facility. They valued the confidence and reassurance they gained from having a dermatologist involved in deciding their management. The patients' concern included data security and the quality of the images shared. Nonetheless, they were keen to see the service expanded beyond the polyclinics. Their experiences and perceptions will inform future service refinement and development.
conclusionsThis narrative exploration of users' experiences of teledermatology produced rich data enabling a better understanding of the patients' journey, the way they understand and interpret their experiences, and ideas for service refinement. Telemedicine reduces traveling and enables safe distancing, factors that are much needed during pandemics.
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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.