A Typology of Patients Based on Decision-Making Styles: Cross-Sectional Survey Study

BackgroundAlthough previous research shows broad differences in the impact of online health information on patient-practitioner decision making, specific research is required to identify and conceptualize patient decision-making styles related to the use of online health info...

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Main Authors: FitzPatrick, Mary Anne, Hess, Alexandra Claudia, Sudbury-Riley, Lynn, Schulz, Peter Johannes
Format: Article
Language:English
Published: JMIR Publications 2019-11-01
Series:Journal of Medical Internet Research
Online Access:http://www.jmir.org/2019/11/e15332/
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spelling doaj-e75a6d187dc24cc094db7653407154b32021-04-02T18:41:06ZengJMIR PublicationsJournal of Medical Internet Research1438-88712019-11-012111e1533210.2196/15332A Typology of Patients Based on Decision-Making Styles: Cross-Sectional Survey StudyFitzPatrick, Mary AnneHess, Alexandra ClaudiaSudbury-Riley, LynnSchulz, Peter Johannes BackgroundAlthough previous research shows broad differences in the impact of online health information on patient-practitioner decision making, specific research is required to identify and conceptualize patient decision-making styles related to the use of online health information and to differentiate segments according to the influence of online information on patient decision making and interactions with health professionals. ObjectiveThis study aimed to investigate patients’ decision making in relation to online health information and interactions with health care practitioners. We also aimed to present a typology of patients based on significant differences in their decision making. MethodsWe applied a large-scale cross-sectional research design using a survey. Data, generated using a questionnaire that was administered by companies specializing in providing online panels, were collected from random samples of baby boomers in the United Kingdom, the United States, and New Zealand. The total sample comprised 996 baby boomers born between 1946 and 1964, who had used the internet in the previous 6 months to search for and share health-related information. Data were analyzed using hierarchical cluster analysis and confirmatory factor analysis, as well as one-way analysis of variance, chi-square tests, and paired sample t tests. ResultsAnalyses identified 3 key decision-making styles that served as the base for 4 unique and stable segments of patients with distinctive decision-making styles: the Collaborators (229/996, 23.0%), the Autonomous-Collaborators (385/996, 38.7%), the Assertive-Collaborators (111/996, 11.1%), and the Passives (271/996, 27.2%). Profiles were further developed for these segments according to key differences in the online health information behavior, demographics, and interactional behaviors of patients. The typology demonstrates that collaborative decision making is dominant among patients either in its pure form or in combination with autonomous or assertive decision making. In other words, most patients (725/996, 72.8%) show significant collaboration in their decision making with health care professionals. However, at times, patients in the combination Autonomous-Collaborative segment prefer to exercise individual autonomy in their decision making, and those in the combination Assertive-Collaborative segment prefer to be assertive with health professionals. Finally, this study shows that a substantial number of patients adopt a distinctly passive decision-making style (271/996, 27.2%). ConclusionsThe patient typology provides a framework for distinguishing practice-relevant and addressable segments with important implications for health care practitioners, including better-targeted communication programs for patients and more successful outcomes for health care services in the long term.http://www.jmir.org/2019/11/e15332/
collection DOAJ
language English
format Article
sources DOAJ
author FitzPatrick, Mary Anne
Hess, Alexandra Claudia
Sudbury-Riley, Lynn
Schulz, Peter Johannes
spellingShingle FitzPatrick, Mary Anne
Hess, Alexandra Claudia
Sudbury-Riley, Lynn
Schulz, Peter Johannes
A Typology of Patients Based on Decision-Making Styles: Cross-Sectional Survey Study
Journal of Medical Internet Research
author_facet FitzPatrick, Mary Anne
Hess, Alexandra Claudia
Sudbury-Riley, Lynn
Schulz, Peter Johannes
author_sort FitzPatrick, Mary Anne
title A Typology of Patients Based on Decision-Making Styles: Cross-Sectional Survey Study
title_short A Typology of Patients Based on Decision-Making Styles: Cross-Sectional Survey Study
title_full A Typology of Patients Based on Decision-Making Styles: Cross-Sectional Survey Study
title_fullStr A Typology of Patients Based on Decision-Making Styles: Cross-Sectional Survey Study
title_full_unstemmed A Typology of Patients Based on Decision-Making Styles: Cross-Sectional Survey Study
title_sort typology of patients based on decision-making styles: cross-sectional survey study
publisher JMIR Publications
series Journal of Medical Internet Research
issn 1438-8871
publishDate 2019-11-01
description BackgroundAlthough previous research shows broad differences in the impact of online health information on patient-practitioner decision making, specific research is required to identify and conceptualize patient decision-making styles related to the use of online health information and to differentiate segments according to the influence of online information on patient decision making and interactions with health professionals. ObjectiveThis study aimed to investigate patients’ decision making in relation to online health information and interactions with health care practitioners. We also aimed to present a typology of patients based on significant differences in their decision making. MethodsWe applied a large-scale cross-sectional research design using a survey. Data, generated using a questionnaire that was administered by companies specializing in providing online panels, were collected from random samples of baby boomers in the United Kingdom, the United States, and New Zealand. The total sample comprised 996 baby boomers born between 1946 and 1964, who had used the internet in the previous 6 months to search for and share health-related information. Data were analyzed using hierarchical cluster analysis and confirmatory factor analysis, as well as one-way analysis of variance, chi-square tests, and paired sample t tests. ResultsAnalyses identified 3 key decision-making styles that served as the base for 4 unique and stable segments of patients with distinctive decision-making styles: the Collaborators (229/996, 23.0%), the Autonomous-Collaborators (385/996, 38.7%), the Assertive-Collaborators (111/996, 11.1%), and the Passives (271/996, 27.2%). Profiles were further developed for these segments according to key differences in the online health information behavior, demographics, and interactional behaviors of patients. The typology demonstrates that collaborative decision making is dominant among patients either in its pure form or in combination with autonomous or assertive decision making. In other words, most patients (725/996, 72.8%) show significant collaboration in their decision making with health care professionals. However, at times, patients in the combination Autonomous-Collaborative segment prefer to exercise individual autonomy in their decision making, and those in the combination Assertive-Collaborative segment prefer to be assertive with health professionals. Finally, this study shows that a substantial number of patients adopt a distinctly passive decision-making style (271/996, 27.2%). ConclusionsThe patient typology provides a framework for distinguishing practice-relevant and addressable segments with important implications for health care practitioners, including better-targeted communication programs for patients and more successful outcomes for health care services in the long term.
url http://www.jmir.org/2019/11/e15332/
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