ReviewJMIR mHealth and uHealth2024
Acceptability, Effectiveness, and Roles of mHealth Applications in Supporting Cancer Pain Self-Management: Integrative Review.
Review in JMIR mHealth and uHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effects of using app-based interventions on quality of life among breast cancer patients: a systematic review with meta-analysis.Annals of medicine · 2025Pooled it
- Effects of Remote Web-Based Interventions on the Physiological and Psychological States of Patients With Cancer: Systematic Review With Meta-Analysis.JMIR mHealth and uHealth · 2025Pooled it
- Application of Mobile Health Technologies to Prevent Unintentional Childhood Injuries: Scoping Review.JMIR mHealth and uHealth · 2026Article
- Culturally tailored mHealth interventions for chronic low back pain in rural sub-Saharan Africa: a systematic review protocol.BMJ open · 2026Article
- Use and Influencing Factors of mHealth Services Among Adult Survivors of Cancer: Cross-Sectional Survey Study.Journal of medical Internet research · 2026Article
- A mobile health app for real-time symptom monitoring in patients with cancer during COVID-19: feasibility, acceptability, and utility.BMC cancer · 2026Article
- Evaluation of the ALIBIRD mHealth Platform for Care of Patients With Lung Cancer: Prospective Pilot Study.JMIR cancer · 2026Article
- Effects of continuous care based on a mobile health platform on self-management behaviors and quality of life in patients with acute leukemia.Frontiers in medicine · 2026Article
- Artificial Intelligence Chatbots as Sources of Cancer Pain Information: A Comparative Evaluation of Quality, Transparency, and Readability.Journal of pain research · 2026Article
- Correlation between mental health and pain-related impairment in patients with chronic cancer-related pain.Frontiers in psychology · 2026Article
- Innovative mHealth for addressing low back pain-related factors amongst lower-limb amputees: A quasi-experimental.African journal of disability · 2026Article
- Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study.JMIR mHealth and uHealth · 2025Article
- Efficacy of an app for self-efficacy of patients with cancer through tailored information delivery and coaching: protocol for a randomized controlled trial.BMC public health · 2025Article
- User Experience in mHealth Research: Bibliometric Analysis of Trends and Developments (2007-2023).JMIR mHealth and uHealth · 2025Review
- Empowering Self-Management in Prostate Cancer: A Scoping Review of Mobile Health Interventions.Journal of multidisciplinary healthcare · 2025Review
- Assessing the Needs of Patients with Cancer and Healthcare Professionals for a Digital Pain Management System: A Qualitative Study.Patient preference and adherence · 2025Article
- Usability Evaluation of the RevisedChildren (Basel, Switzerland) · 2024Article
- Review
- Using an interactive web application to identify pre-exposure prophylaxis adherence among men who have sex with men.International journal of clinical and health psychology : IJCHPArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCancer pain remains highly prevalent and persistent throughout survivorship, and it is crucial to investigate the potential of leveraging the advanced features of mobile health (mHealth) apps to empower individuals to self-manage their pain.
objectiveThis review aims to comprehensively understand the acceptability, users' experiences, and effectiveness of mHealth apps in supporting cancer pain self-management.
methodsWe conducted an integrative review following Souza and Whittemore and Knafl's 6 review processes. Literature was searched in PubMed, Scopus, CINAHL Plus with Full Text, PsycINFO, and Embase, from 2013 to 2023. Keywords including "cancer patients," "pain," "self-management," "mHealth applications," and relevant synonyms were used in the search. The Johns Hopkins research evidence appraisal tool was used to evaluate the quality of eligible studies. A narrative synthesis was conducted to analyze the extracted data.
resultsA total of 20 studies were included, with the overall quality rated as high (n=15) to good (n=5). Using mHealth apps to monitor and manage pain was acceptable for most patients with cancer. The internal consistency of the mHealth in measuring pain was 0.96. The reported daily assessment or engagement rate ranged from 61.9% to 76.8%. All mHealth apps were designed for multimodal interventions. Participants generally had positive experiences using pain apps, rating them as enjoyable and user-friendly. In addition, 6 studies reported significant improvements in health outcomes, including enhancement in pain remission (severity and intensity), medication adherence, and a reduced frequency of breakthrough pain. The most frequently highlighted roles of mHealth apps included pain monitoring, tracking, reminders, education facilitation, and support coordination.
conclusionsmHealth apps are effective and acceptable in supporting pain self-management. They offer a promising multi-model approach for patients to monitor, track, and manage their pain. These findings provide evidence-based insights for leveraging mHealth apps to support cancer pain self-management. More high-quality studies are needed to examine the effectiveness of digital technology-based interventions for cancer pain self-management and to identify the facilitators and barriers to their implementation in real-world practice.
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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.