ReviewBMC medical informatics and decision making2022
Mobile health platform based on user-centered design to promote exercise for patients with peripheral artery disease.
Review in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses 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
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- 2026 ACC/AHA Clinical Performance and Quality Measures for Patients With Peripheral Artery Disease: A Report of the American College of Cardiology/American Heart Association Joint Committee on Performance Measures.Journal of the American College of Cardiology · 2026Guideline
- Behaviour change interventions to promote physical activity in people with intermittent claudication: the OPTIMA systematic review.Health technology assessment (Winchester, England) · 2025Pooled it
- A vital physiological parameter mobile monitoring system for elderly patients in remote areas.BMC medical informatics and decision making · 2026Article
- Wearable Devices for Exercise Prescription and Physical Activity Monitoring in Patients with Various Cardiovascular Conditions.CJC open · 2025Review
- Nurses' Roles in mHealth App Development: Scoping Review.JMIR nursing · 2023Article
- Interviews with HIV Experts for Development of a Mobile Health Application in HIV Care-A Qualitative Study.Healthcare (Basel, Switzerland) · 2023Article
- Article
- Mobile Health Apps for Breast Cancer: Content Analysis and Quality Assessment.JMIR mHealth and uHealth · 2023Article
- The most used questionnaires for evaluating the usability of robots and smart wearables: A scoping review.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPeripheral artery disease (PAD) is a cardiovascular disease that can be improved by risk factor modification. Mobile health (mHealth) intervention is an effective method of healthcare delivery to promote behavior changes. An mHealth platform can encourage consistent involvement of participants and healthcare providers for health promotion. This study aimed to develop an mHealth platform consisting of a smartphone application (app) synchronized with a wearable activity tracker and a web-based portal to support exercise intervention in patients with PAD.
methodsThis study was conducted based on an iterative development process, including analysis, design, and implementation. In the analysis phase, a literature review and needs assessment through semi-structured interviews (n = 15) and a questionnaire-based survey (n = 138) were performed. The initial prototype design and contents were developed based on the users' requirements. In the implementation phase, multidisciplinary experts (n = 4) evaluated the heuristics, following which the mHealth platform was revised. User evaluation of the usability was performed by nurses (n = 4) and patients with PAD (n = 3).
resultsThrough the development process, the functional requirements of the platform were represented through visual display, reminder, education, self-monitoring, goal setting, goal attainment, feedback, and recording. In-app videos of exercise and PAD management were produced to provide information and in-app automatic text messages were developed for user motivation. The final version of the platform was rated 67.86 out of 100, which indicated "good" usability.
conclusionsThe mHealth platform was designed and developed for patients with PAD and their healthcare providers. This platform can be used to educate and promote individualized exercise among patients with PAD.
Indexed as
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.