ArticleJMIR research protocols2016
Improving Patient Experience and Primary Care Quality for Patients With Complex Chronic Disease Using the Electronic Patient-Reported Outcomes Tool: Adopting Qualitative Methods Into a User-Centered Design Approach.
Article in JMIR research protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
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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
39 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.
- Evidence-Based Evaluation of eHealth Interventions: Systematic Literature Review.Journal of medical Internet research · 2018Pooled it
- Social Risk-Informed Decision Support and Blood Pressure Control in a Primary Care Cluster Randomized Controlled Trial.Annals of family medicine · 2026Trial
- Impact of Mobile Apps in Conjunction With Percutaneous Endoscopic Gastrostomy on Patients' Complications, Quality of Life, and Health-Related Self-Care Behaviors: Randomized Clinical Trial.JMIR mHealth and uHealth · 2023Trial
- Assessing the Implementation and Effectiveness of the Electronic Patient-Reported Outcome Tool for Older Adults With Complex Care Needs: Mixed Methods Study.Journal of medical Internet research · 2021Trial
- Mixed-Methods User-Centered Design Evaluation of an Electronic Patient-Reported Outcomes System to Enhance Postdischarge Care for Thoracic Surgery Patients.The Journal of surgical research · 2026Article
- Integrating Mobile Text Messaging Pre-Exposure Prophylaxis Navigation Services Into a Home HIV and Sexually Transmitted Infection Self-Testing Program in the United States: Formative Work and Pilot Implementation Study.JMIR formative research · 2026Article
- Perceptions and Needs of Stakeholders Regarding MyPal Project's Electronic Patient-Reported Outcome App: Cross-Sectional Qualitative Focus Group Study.JMIR cancer · 2025Article
- GamePlan4Care, a Web-Based Adaptation of the Resources for Enhancing Alzheimer's Caregiver Health II Intervention for Family Caregivers of Persons Living With Dementia: Formative, Qualitative Usability Testing Study.JMIR formative research · 2025Article
- Adapting mHealth Interventions (PrEPmate and DOT Diary) to Support PrEP Retention in Care and Adherence Among English and Spanish-Speaking Men Who Have Sex With Men and Transgender Women in the United States: Formative Work and Pilot Randomized Trial.JMIR formative research · 2024Article
- Methods and operational aspects of human-centred design into research processes for individuals with multiple chronic conditions: A survey study.Nursing open · 2023Article
- Information and Communications Technologies Enabling Integrated Primary Care for Patients With Complex Care Needs: Scoping Review.Journal of medical Internet research · 2023Article
- A Qualitative Study of the Perspectives of Healthcare Professionals on Features of Digital Health Interventions to Support Physical Activity in Solid Organ Transplant Recipients.Progress in transplantation (Aliso Viejo, Calif.) · 2023Article
- Methodological approaches to study context in intervention implementation studies: an evidence gap map.BMC medical research methodology · 2022Article
- Examining Use Behavior of a Goal-Supporting mHealth App in Primary Care Among Patients With Multiple Chronic Conditions: Qualitative Descriptive Study.JMIR human factors · 2022Article
- A feasibility study of a randomized controlled trial protocol to assess the impact of an eHealth intervention on the provision of dietary advice in primary care.Pilot and feasibility studies · 2022Article
- Assessment of functioning in Dutch primary care: Development study of a consultation tool for patients with chronic conditions and multimorbidity.Health expectations : an international journal of public participation in health care and health policy · 2022Article
- An Electronic Patient-Reported Outcomes Tool for Older Adults With Complex Chronic Conditions: Cost-Utility Analysis.JMIR aging · 2022Article
- Supporting Patient-Clinician Interaction in Chronic HIV Care: Design and Development of a Patient-Reported Outcomes Software Application.Journal of medical Internet research · 2021Article
- Building a Digital Bridge to Support Patient-Centered Care Transitions From Hospital to Home for Older Adults With Complex Care Needs: Protocol for a Co-Design, Implementation, and Evaluation Study.JMIR research protocols · 2020Article
- Experiences of Complex Patients With Telemonitoring in a Nurse-Led Model of Care: Multimethod Feasibility Study.JMIR nursing · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMany mHealth technologies do not meet the needs of patients with complex chronic disease and disabilities (CCDDs) who are among the highest users of health systems worldwide. Furthermore, many of the development methodologies used in the creation of mHealth and eHealth technologies lack the ability to embrace users with CCDD in the specification process. This paper describes how we adopted and modified development techniques to create the electronic Patient-Reported Outcomes (ePRO) tool, a patient-centered mHealth solution to help improve primary health care for patients experiencing CCDD.
objectiveThis paper describes the design and development approach, specifically the process of incorporating qualitative research methods into user-centered design approaches to create the ePRO tool. Key lessons learned are offered as a guide for other eHealth and mHealth research and technology developers working with complex patient populations and their primary health care providers.
methodsGuided by user-centered design principles, interpretive descriptive qualitative research methods were adopted to capture user experiences through interviews and working groups. Consistent with interpretive descriptive methods, an iterative analysis technique was used to generate findings, which were then organized in relation to the tool design and function to help systematically inform modifications to the tool. User feedback captured and analyzed through this method was used to challenge the design and inform the iterative development of the tool.
resultsInterviews with primary health care providers (n=7) and content experts (n=6), and four focus groups with patients and carers (n=14) along with a PICK analysis-Possible, Implementable, (to be) Challenged, (to be) Killed-guided development of the first prototype. The initial prototype was presented in three design working groups with patients/carers (n=5), providers (n=6), and experts (n=5). Working group findings were broken down into categories of what works and what does not work to inform modifications to the prototype. This latter phase led to a major shift in the purpose and design of the prototype, validating the importance of using iterative codesign processes.
conclusionsInterpretive descriptive methods allow for an understanding of user experiences of patients with CCDD, their carers, and primary care providers. Qualitative methods help to capture and interpret user needs, and identify contextual barriers and enablers to tool adoption, informing a redesign to better suit the needs of this diverse user group. This study illustrates the value of adopting interpretive descriptive methods into user-centered mHealth tool design and can also serve to inform the design of other eHealth technologies. Our approach is particularly useful in requirements determination when developing for a complex user group and their health care providers.
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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.