ArticleJMIR mHealth and uHealth2016
Evaluating Patient Usability of an Image-Based Mobile Health Platform for Postoperative Wound Monitoring.
Article in JMIR mHealth and uHealth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 5 of them syntheses that pooled it.
What it found
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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.
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Who cites it
42 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Co-Designing Remote Patient Monitoring Technologies for Inpatients: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Readiness for implementation of novel digital health interventions for postoperative monitoring: a systematic review and clinical innovation network analysis.The Lancet. Digital health · 2023Pooled it
- Systematic Review of Telemedicine and eHealth Systems Applied to Vascular Surgery.Journal of medical systems · 2022Pooled it
- Engaging Patients in Co-Design of Mobile Health Tools for Surgical Site Infection Surveillance: Implications for Research and Implementation.Surgical infections · 2019Pooled it
- Pooled it
- Digital Health Literacy and Tool Adoption in Postoperative Care in a Safety-Net Hospital Population: Mixed Methods Study.JMIR human factors · 2026Article
- User Experience in mHealth Research: Bibliometric Analysis of Trends and Developments (2007-2023).JMIR mHealth and uHealth · 2025Review
- Use and Application of mHealth Technologies in Perioperative Surgical Care: Narrative Review.JMIR mHealth and uHealth · 2025Review
- Development and Implementation of a Personal Virtual Assistant for Patient Engagement and Communication in Postsurgical Cancer Care: Feasibility Cohort Study.JMIR cancer · 2025Article
- Enhancing Surgical Wound Monitoring: A Paired Cohort Study Evaluating a New AI-Based Application for Automatic Detection of Potential Infections.Journal of clinical medicine · 2024Article
- Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review.Journal of medical Internet research · 2024Article
- Developing a mobile health application for wound telemonitoring: a pilot study on abdominal surgeries post-discharge care.BMC medical informatics and decision making · 2023Review
- Evaluation of remote digital postoperative wound monitoring in routine surgical practice.NPJ digital medicine · 2023Article
- A mixed-methods study exploring women's perceptions and recommendations for a pregnancy app with monitoring tools.NPJ digital medicine · 2023Article
- Data-Driven Technologies as Enablers for Value Creation in the Prevention of Surgical Site Infections: a Systematic Review.Journal of healthcare informatics research · 2023Review
- Remote assessment of surgical site infection (SSI) using patient-taken wound images: Development and evaluation of a method for research and routine practice.Journal of tissue viability · 2023Review
- Article
- mHealth-community health worker telemedicine intervention for surgical site infection diagnosis: a prospective study among women delivering via caesarean section in rural Rwanda.BMJ global health · 2022Article
- Patient-Generated Health Photos and Videos Across Health and Well-being Contexts: Scoping Review.Journal of medical Internet research · 2022Article
- Smart Speakers: The Next Frontier in mHealth.JMIR mHealth and uHealth · 2022Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundSurgical patients are increasingly using mobile health (mHealth) platforms to monitor recovery and communicate with their providers in the postdischarge period. Despite widespread enthusiasm for mHealth, few studies evaluate the usability or user experience of these platforms.
objectiveOur objectives were to (1) develop a novel image-based smartphone app for postdischarge surgical wound monitoring, and (2) rigorously user test it with a representative population of vascular and general surgery patients.
methodsA total of 9 vascular and general surgery inpatients undertook usability testing of an internally developed smartphone app that allows patients to take digital images of their wound and answer a survey about their recovery. We followed the International Organization for Standardization (ISO) 9241-11 guidelines, focusing on effectiveness, efficiency, and user satisfaction. An accompanying training module was developed by applying tenets of adult learning. Sessions were audio-recorded, and the smartphone screen was mirrored onto a study computer. Digital image quality was evaluated by a physician panel to determine usefulness for clinical decision making.
resultsThe mean length of time spent was 4.7 (2.1-12.8) minutes on the training session and 5.0 (1.4-16.6) minutes on app completion. 55.5% (5/9) of patients were able to complete the app independently with the most difficulty experienced in taking digital images of surgical wounds. Novice patients who were older, obese, or had groin wounds had the most difficulty. 81.8% of images were sufficient for diagnostic purposes. User satisfaction was high, with an average usability score of 83.3 out of 100.
conclusionSurgical patients can learn to use a smartphone app for postoperative wound monitoring with high user satisfaction. We identified design features and training approaches that can facilitate ease of use. This protocol illustrates an important, often overlooked, aspect of mHealth development to improve surgical care.
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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.