Know thy eHealth user: Development of biopsychosocial personas from a study of older adults with heart failure.
Int J Med Inform
; 108: 158-167, 2017 12.
Article
in En
| MEDLINE
| ID: mdl-29132622
ABSTRACT
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.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Medical Informatics
/
Telemedicine
/
Internet
/
Health Literacy
/
Heart Failure
Type of study:
Prognostic_studies
/
Qualitative_research
Limits:
Adult
/
Aged
/
Aged80
/
Female
/
Humans
/
Male
/
Middle aged
Language:
En
Journal:
Int J Med Inform
Journal subject:
INFORMATICA MEDICA
Year:
2017
Document type:
Article