ArticleJournal of medical Internet research2020
An Image-Based Mobile Health App for Postdrainage Monitoring: Usability Study.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05980572 (Mobile Device Based Telerehabilitation for Frozen Shoulder-A Prospective Randomized Controlled Study.), which is not on this map. Cited by 5 papers.
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.
Mobile Device Based Telerehabilitation for Frozen Shoulder-A Prospective Randomized Controlled Study.
Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Mobile App-Guided Home Exercise Versus Conventional Pamphlet-Based Instruction After Corticosteroid Injection in Patients with Frozen Shoulder: A Pilot Randomized Trial.Healthcare (Basel, Switzerland) · 2026Article
- Empowering recovery: a remote spirometry system and mobile app for monitoring and promoting pulmonary rehabilitation in patients with rib fracture.Trauma surgery & acute care open · 2025Article
- Barriers to Postdischarge Smartphone App Use Among Patients With Traumatic Rib Fractures.JMIR formative research · 2024Article
- The Feasibility and Efficacy of Remote App-Guided Home Exercises for Frozen Shoulder: A Pilot Study.Healthcare (Basel, Switzerland) · 2024Article
- The Feasibility and Efficiency of Remote Spirometry System on the Pulmonary Function for Multiple Ribs Fracture Patients.Journal of personalized medicine · 2021Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe application of mobile health (mHealth) platforms to monitor recovery in the postdischarge period has increased in recent years. Despite widespread enthusiasm for mHealth, few studies have evaluated the usability and user experience of mHealth in patients with surgical drainage.
objectiveOur objectives were to (1) develop an image-based smartphone app, SurgCare, for postdrainage monitoring and (2) determine the feasibility and clinical value of the use of SurgCare by patients with drainage.
methodsWe enrolled 80 patients with biliary or peritoneal drainage in this study. A total of 50 patients were assigned to the SurgCare group, who recorded drainage monitoring data with the smartphone app; and 30 patients who manually recorded the data were assigned to the conventional group. The patients continued to record data until drain removal. The primary aim was to validate feasibility for the user, which was defined as the proportion of patients using each element of the system. Moreover, the secondary aim was to evaluate the association of compliance with SurgCare and the occurrence of unexpected events.
resultsThe average submission duration was 14.98 days, and the overall daily submission rate was 84.2%. The average system usability scale was 83.7 (SD 3.5). This system met the definition of "definitely feasible" in 34 patients, "possibly feasible" in 10 patients, and "not feasible" in 3 patients. We found that the occurrence rates of complications in the SurgCare group and the conventional group were 6% and 26%, respectively, with statistically significant differences P=.03. The rate of unexpected hospital return was lower in the SurgCare group (6%) than in the conventional groups (26%) (P=.03).
conclusionsPatients can learn to use a smartphone app for postdischarge drainage monitoring with high levels of user satisfaction. We also identified a high degree of compliance with app-based drainage-recording design features, which is an aspect of mHealth that can improve surgical care.
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