Know thy eHealth user: Development of biopsychosocial personas from a study of older adults with heart failure
| Autor: | Anand Kulanthaivel, Saptarshi Purkayastha, Richard J. Holden, Sunil Kripalani, Kathryn Goggins |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Biopsychosocial model
Gerontology Adult Male 020205 medical informatics Health Informatics Health literacy 02 engineering and technology Persona Health informatics Article 03 medical and health sciences 0302 clinical medicine Human–computer interaction Health care 0202 electrical engineering electronic engineering information engineering eHealth Medicine Humans 030212 general & internal medicine Aged Aged 80 and over Heart Failure Internet business.industry Middle Aged Telemedicine Health Literacy Informatics Marital status Female business Medical Informatics |
| Popis: | Background Personas 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. Objective To develop biopsychosocial personas of older patients with heart failure using quantitative analysis of survey data. Method Data 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. Results Six 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. |
| Databáze: | OpenAIRE |
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