ArticleInternational journal of medical informatics2017
Know thy eHealth user: Development of biopsychosocial personas from a study of older adults with heart failure.
Article in International journal of medical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.
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Who cites it
48 citing papers in PubMed, 1 synthesis or guideline pooled it, 138 citations in OpenAlex.
- Using Electronic Health Record Portals to Improve Patient Engagement: Research Priorities and Best Practices.Annals of internal medicine · 2020Pooled it
- Cyber behaviour and personality nexus: clustering around security attitudes, FoMO, problematic social media use, and cognitive and personality traits?Royal Society open science · 2026Article
- Developing Customized Personas to Capture Intrinsic Capacity Profiles and Digital Monitoring Intentions in Older Adults: Mixed Methods Study.JMIR aging · 2026Article
- Study design of the InTakeCare trial: a digital health solution to monitor and improve medication adherence in hypertensive patients.European heart journal. Digital health · 2026Article
- Developing psychosocial phenotypes to understand engagement with digital health technologies for heart failure.NPJ digital medicine · 2026Article
- Persona Development in Washington State: Mixed Methods Approach Using Statewide Survey Data.Online journal of public health informatics · 2026Article
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- Applying Design Thinking for Co-Designed Health Solutions: A Case Study on Chronic Kidney Disease in Regional Australia.International journal of environmental research and public health · 2025Article
- Adherence Patterns of Patients Using Remote Patient Management After Myocardial Infarction: Mixed Methods Persona Approach.JMIR cardio · 2025Article
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- Perspectives of Australian healthcare professionals towards gamification in practice.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2025Article
- Generating user-driven patient personas to support preventive health care activities of rural-living unattached patients.PEC innovation · 2024Article
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- General practitioners' views and experiences of communicating with older people about cancer screening: a qualitative study.Family practice · 2024Article
- Secondary use of genomic data: patients' decisions at point of testing and perspectives to inform international data sharing.European journal of human genetics : EJHG · 2024Article
- Article
- Design as a quality improvement strategy: The case for design expertise.Future healthcare journal · 2024Article
- Using Personas in the development of eHealth interventions for chronic pain: A scoping review and narrative synthesis.Internet interventions · 2023Article
- Needs of multimorbid heart failure patients and their carers: a qualitative interview study and the creation of personas as a basis for a blended collaborative care intervention.Frontiers in cardiovascular medicine · 2023Article
- Preferences for coaching strategies in a personalized virtual coach for emotional eaters: an explorative study.Frontiers in psychology · 2023Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundPersonas are a canonical user-centered design method increasingly used in health informatics research. Personas-empirically-derived user archetypes-can be used by eHealth designers to gain a robust understanding of their target end users such as patients.
objectiveTo develop biopsychosocial personas of older patients with heart failure using quantitative analysis of survey data.
methodData were collected using standardized surveys and medical record abstraction from 32 older adults with heart failure recently hospitalized for acute heart failure exacerbation. Hierarchical cluster analysis was performed on a final dataset of n=30. Nonparametric analyses were used to identify differences between clusters on 30 clustering variables and seven outcome variables.
resultsSix clusters were produced, ranging in size from two to eight patients per cluster. Clusters differed significantly on these biopsychosocial domains and subdomains: demographics (age, sex); medical status (comorbid diabetes); functional status (exhaustion, household work ability, hygiene care ability, physical ability); psychological status (depression, health literacy, numeracy); technology (Internet availability); healthcare system (visit by home healthcare, trust in providers); social context (informal caregiver support, cohabitation, marital status); and economic context (employment status). Tabular and narrative persona descriptions provide an easy reference guide for informatics designers. DISCUSSION: Personas development using approaches such as clustering of structured survey data is an important tool for health informatics professionals. We describe insights from our study of patients with heart failure, then recommend a generic ten-step personas development process. Methods strengths and limitations of the study and of personas development generally are discussed.
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