ArticleBMC medical informatics and decision making2015
Development of mHealth system for supporting self-management and remote consultation of skincare.
Article in BMC medical informatics and decision making, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 44 citations in OpenAlex.
- A mobile and web-based clinical decision support and monitoring system for diabetes mellitus patients in primary care: a study protocol for a randomized controlled trial.BMC medical informatics and decision making · 2017Trial
- ChiroSCOPE (Chiropractic Systematic Clinical Observation of Practice Evidence): preliminary evaluation of a web application for data collection within a clinical research network: a mixed methods pilot study.The Journal of the Canadian Chiropractic Association · 2026Article
- Mobile Health to Support Community-Integration of Individuals With Disabilities Using iMHere 2.0: Focus Group Study.JMIR human factors · 2022Article
- Evaluation of e-health (Seha) application: a cross-sectional study in Saudi Arabia.BMC medical informatics and decision making · 2021Article
- User Preferences for Privacy Protection Methods in Mobile Health Apps: A Mixed-Methods Study.International journal of telerehabilitation · 2020Article
- Wound Care Knowledge, Attitudes, and Practices and Mobile Health Technology Use in the Home Environment: Cross-Sectional Survey of Social Network Users.JMIR mHealth and uHealth · 2020Article
- A mobile app implementing the international classification of functioning, disability and health rehabilitation set.BMC medical informatics and decision making · 2020Article
- Making Self-Management Mobile Health Apps Accessible to People With Disabilities: Qualitative Single-Subject Study.JMIR mHealth and uHealth · 2020Article
- An Adaptive Mobile Health System to Support Self-Management for Persons With Chronic Conditions and Disabilities: Usability and Feasibility Studies.JMIR formative research · 2019Article
- The mHealth App Usability Questionnaire (MAUQ): Development and Validation Study.JMIR mHealth and uHealth · 2019Article
- eHealth tools for the self-testing of visual acuity: a scoping review.NPJ digital medicine · 2019Article
- An mHealth Platform for Supporting Clinical Data Integration into Augmentative and Alternative Communication Service Delivery: User-Centered Design and Usability Evaluation.JMIR rehabilitation and assistive technologies · 2018Article
- Health Sensors, Smart Home Devices, and the Internet of Medical Things: An Opportunity for Dramatic Improvement in Care for the Lower Extremity Complications of Diabetes.Journal of diabetes science and technology · 2018Review
- Common elements and features of a mobile-based self-management system for people living with HIV.Electronic physician · 2018Article
- Remote Patient Monitoring in IBD: Current State and Future Directions.Current gastroenterology reports · 2018Review
- How mobile health affects primary healthcare? Questionnaire design and attitude assessment.Digital healthArticle
- 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 2 institutions in 1 country.
Funding
Abstract
backgroundIndividuals with spina bifida (SB) are vulnerable to chronic skin complications such as wounds on the buttocks and lower extremities. Most of these complications can be prevented with adherence to self-care routines. We have developed a mobile health (mHealth) system for supporting self-care and management of skin problems called SkinCare as part of an mHealth suite called iMHere (interactive Mobile Health and Rehabilitation). The objective of this research is to develop an innovative mHealth system to support self-skincare tasks, skin condition monitoring, adherence to self-care regimens, skincare consultation, and secure two-way communications between patients and clinicians.
methodsIn order to support self-skincare tasks, the SkinCare app requires three main functions: (1) self-care task schedule and reminders, (2) skin condition monitoring and communications that include imaging, information about the skin problem, and consultation with clinician, and (3) secure two-way messaging between the patient and clinician (wellness coordinator). The SkinCare system we have developed consists of the SkinCare app, a clinician portal, and a two-way communication protocol connecting the two. The SkinCare system is one component of a more comprehensive system to support a wellness program for individuals with SB.
resultsThe SkinCare app has several features that include reminders to perform daily skin checks as well as the ability to report skin breakdown and injury, which uses a combination of skin images and descriptions. The SkinCare app provides reminders to visually inspect one's skin as a preventative measure, often termed a "skin check." The data is sent to the portal where clinicians can monitor patients' conditions. Using the two-way communication, clinicians can receive pictures of the skin conditions, track progress in healing over time, and provide instructions for how to best care for the wound.
conclusionsThe system was capable of supporting self-care and adherence to regimen, monitoring adherence, and supporting clinician engagement with patients, as well as testing its feasibility in a long-term implementation. The study shows the feasibility of a long-term implementation of skincare mHealth systems to support self-care and two-way interactions between patients and clinicians.
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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.