ArticleJMIR mHealth and uHealth2016
A Mobile Phone App to Stimulate Daily Physical Activity in Patients with Chronic Obstructive Pulmonary Disease: Development, Feasibility, and Pilot Studies.
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. 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 23 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.
Mobile Device Based Telerehabilitation for Frozen Shoulder-A Prospective Randomized Controlled Study.
Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.
- Assessing the usability of wearable devices to measure gait and physical activity in chronic conditions: a systematic review.Journal of neuroengineering and rehabilitation · 2021Pooled it
- Mobile Apps to Quantify Aspects of Physical Activity: a Systematic Review on its Reliability and Validity.Journal of medical systems · 2020Pooled it
- A Lower Leg Physical Activity Intervention for Individuals With Chronic Venous Leg Ulcers: Randomized Controlled Trial.JMIR mHealth and uHealth · 2020Trial
- Mobile health for chronic obstructive pulmonary disease: a bibliometric analysis based on integrated databases (2000-2025).Frontiers in medicine · 2026Review
- The effect of an educational intervention and an app-based outdoor air pollution alert system in reducing exacerbations in patients with COPD.BMC primary care · 2025Article
- Exploring the Feasibility and Usability of Smartphones for Monitoring Physical Activity in Orthopedic Patients: Prospective Observational Study.JMIR mHealth and uHealth · 2023Observational
- To Act or Not to Act-a Sense of Control Is Important for People With Chronic Obstructive Pulmonary Disease to Increase Physical Activity: Grounded Theory Study.JMIR formative research · 2023Article
- Real-Time Telerehabilitation in Older Adults With Musculoskeletal Conditions: Systematic Review and Meta-analysis.JMIR rehabilitation and assistive technologies · 2022Review
- Evaluation of m-Health-rehabilitation for respiratory disorders: A systematic review.Health science reports · 2022Article
- A Blockchain-Enabled Framework for mHealth Systems.Sensors (Basel, Switzerland) · 2021Article
- Effectiveness of a Mobile Health and Self-Management App for High-Risk Patients With Chronic Obstructive Pulmonary Disease in Daily Clinical Practice: Mixed Methods Evaluation Study.JMIR mHealth and uHealth · 2021Article
- A Co-Designed Active Video Game for Physical Activity Promotion in People With Chronic Obstructive Pulmonary Disease: Pilot Trial.JMIR serious games · 2021Article
- A Scale to Assess the Methodological Quality of Studies Assessing Usability of Electronic Health Products and Services: Delphi Study Followed by Validity and Reliability Testing.Journal of medical Internet research · 2019Article
- Fit 4 surgery, a bespoke app with biofeedback delivers rehabilitation at home before and after elective lung resection.Journal of cardiothoracic surgery · 2019Article
- Perceptions of Health Care Providers Regarding a Mobile Health Intervention to Manage Chronic Obstructive Pulmonary Disease: Qualitative Study.JMIR mHealth and uHealth · 2019Article
- Mobile Applications for Multiple Sclerosis: a Focus on Self-Management.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2019Article
- Use of Physical Activity Monitoring Devices by Families in Rural Communities: Qualitative Approach.JMIR pediatrics and parenting · 2019Article
- Creating a Theoretically Grounded, Gamified Health App: Lessons From Developing the Cigbreak Smoking Cessation Mobile Phone Game.JMIR serious games · 2018Article
- Perceptions of Patients With Chronic Obstructive Pulmonary Disease and Their Physiotherapists Regarding the Use of an eHealth Intervention.JMIR human factors · 2017Article
- Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review.Journal of medical Internet research · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatients with chronic obstructive pulmonary disease (COPD) demonstrate reduced levels of daily physical activity (DPA) compared to healthy controls. This results in a higher risk of hospital admission and shorter survival. Performing regular DPA reduces these risks.
objectiveTo develop an eHealth intervention that will support patients with COPD to improve or maintain their DPA after pulmonary rehabilitation.
methodsThe design process consisted of literature research and the iterative developing and piloting phases of the Medical Research Council (MRC) model for complex clinical interventions and the involvement of end users. Participants were healthy adults and persons with COPD.
resultsThe mobile phone interface met all the set requirements. Participants found that the app was stimulating and that reaching their DPA goals was rewarding. The mean (SD) scores on a 7-point scale for usability, ease of use, ease of learning, and contentment were 3.8 (1.8), 5.1 (1.1), 6.0 (1.6), and 4.8 (1.3), respectively. The mean (SD) correlation between the mobile phone and a validated accelerometer was 0.88 (0.12) in the final test. The idea of providing their health care professional with their DPA data caused no privacy issues in the participants. Battery life lasted for an entire day with the final version, and readability and comprehensibility of text and colors were favorable.
conclusionsBy employing a user-centered design approach, a mobile phone was found to be an adequate and feasible interface for an eHealth intervention. The mobile phone and app are easy to learn and use by patients with COPD. In the final test, the accuracy of the DPA measurement was good. The final version of the eHealth intervention is presently being tested by our group for efficacy in a randomized controlled trial in COPD patients.
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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.