ArticleJournal of medical Internet research2020
A User-Centered Approach to an Evidence-Based Electronic Health Pain Management Intervention for People With Chronic Pain: Design and Development of EPIO.
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 2 registered trials, which are not on this map. Cited by 46 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.
Living Well with Chronic Pain: Using Person-centered E-health Design to Support Self-management
An Evidence-based Digital Support for One Year to Facilitate a Sustainable Return to Work for Persons With Chronic Musculoskeletal Pain and Their Employers: Study Protocol for a Registry-based Multicentre Randomized Controlled Trial.
Who cites it
46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 85 citations in OpenAlex.
- Patients' perspectives on medication adherence feedback interventions for managing long-term medications: a systematic review of qualitative evidence.International journal of clinical pharmacy · 2026Pooled it
- Examining Challenges to Co-Design Digital Health Interventions With End Users: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Delivery Model Matters for Digital Interventions in Pain Self-Management: Mixed Methods Study.Journal of medical Internet research · 2026Trial
- Testing two digital stress-management interventions in a randomized controlled trial of breast cancer patients.Scientific reports · 2025Trial
- Short-Term Findings From Testing EPIO, a Digital Self-Management Program for People Living With Chronic Pain: Randomized Controlled Trial.Journal of medical Internet research · 2023Trial
- Development of the Pharm-SAVES educational module for gatekeeper suicide prevention training for community pharmacy staff.Health expectations : an international journal of public participation in health care and health policy · 2023Trial
- Health care providers' experiences of pain management and attitudes towards digitally supported self-management interventions for chronic pain: a qualitative study.BMC health services research · 2021Trial
- Feasibility and acceptability of a guided internet-based acceptance and commitment therapy intervention (MobACT) for adults with chronic pain in Italy: A pilot mixed-methods randomized controlled trial.Internet interventions · 2026Article
- Co-Creation and Usability Testing of a Digital Cardiac Rehabilitation Program (eCardiacRehab): Design and Development Study.JMIR cardio · 2026Article
- User-centered design of a patient-generated health data mobile application for primary care visits for older adults with chronic pain.JAMIA open · 2026Article
- Evidence-Based Self-Management Strategies for Fibromyalgia: Foundations for Digital Therapeutic Applications.Interactive journal of medical research · 2026Article
- Symptom Management Preference and Persona Development for Mobile Health Design Targeting Chinese Older Adult Patients With Breast Cancer: Descriptive Qualitative Study.JMIR human factors · 2025Article
- Investigating the Association Between Central Sensitization and Breathing Pattern Disorders.Biomedicines · 2025Article
- User-Centered Refinement of a Digital Tool for Tuberculosis Treatment Support: Iterative Mixed Methods Study.Journal of medical Internet research · 2025Article
- User-Driven Development of a Digital Behavioral Intervention for Chronic Pain: Multimethod Multiphase Study.JMIR formative research · 2025Article
- Advancements in Wearable and Implantable BioMEMS Devices: Transforming Healthcare Through Technology.Micromachines · 2025Review
- Changes in cognition, coping, pain and emotions after 12-months access to the digital self-management program EPIO.Frontiers in psychology · 2025Article
- Alter egos alter engagement: perspective-taking can improve disclosure quantity and depth to AI chatbots in promoting mental wellbeing.Frontiers in digital health · 2025Article
- A Framework for the Human-Centered Design of Service Processes Enabled by Medical Devices: A Case Study of Wearable Devices for Parkinson's Disease.International journal of environmental research and public health · 2024Article
- Citizen involvement in research on technological innovations for health, care or well-being: a scoping review.Health research policy and systems · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 7 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChronic pain conditions are complicated and challenging to live with. Electronic health (eHealth) interventions show promise in helping people cope with chronic illness, including pain. The success of these interventions depends not only on the technology and intervention content but also on the users' acceptance and adherence. Involving all stakeholders (eg, patients, spouses, health care providers, designers, software developers, and researchers) and exploring their input and preferences in the design and development process is an important step toward developing meaningful interventions and possibly strengthening treatment outcomes.
objectiveThe aim of this study was to design and develop a user-centered, evidence-based eHealth self-management intervention for people with chronic pain.
methodsThe study employed a multidisciplinary and user-centered design approach. Overall, 20 stakeholders from the project team (ie, 7 researchers, 5 editors, 7 software developers, and 1 user representative), together with 33 external stakeholders (ie, 12 health care providers, 1 health care manger, 1 eHealth research psychologist, and 17 patients with chronic pain and 2 of their spouses) participated in a user-centered development process that included workshops, intervention content development, and usability testing. Intervention content was developed and finalized based on existing evidence, stakeholder input, and user testing. Stakeholder input was examined through qualitative analyses with rapid and in-depth analysis approaches.
resultsAnalyses from stakeholder input identified themes including a need for reliable, trustworthy, and evidence-based content, personalization, options for feedback, behavioral tracking, and self-assessment/registration as factors to include in the intervention. Evidence-based intervention content development resulted in one face-to-face introduction session and 9 app-based educational and exercise-based modules. Usability testing provided further insight into how to optimize the design of the intervention to the user group, identifying accessibility and a simple design to be essential.
conclusionsThe design and development process of eHealth interventions should strive to combine well-known evidence-based concepts with stakeholder input. This study, designing and developing the pain management intervention EPIO, illustrates how a stakeholder-centered design approach can provide essential input in the development of an eHealth self-management intervention for people with chronic pain.
trial registrationClinicalTrials.gov NCT03705104; https://clinicaltrials.gov/ct2/show/NCT03705104.
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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.