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A Typology of Patients Based on Decision-Making Styles: Cross-Sectional Survey Study
BACKGROUND: Although 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 differe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6893560/ https://www.ncbi.nlm.nih.gov/pubmed/31746770 http://dx.doi.org/10.2196/15332 |
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author | FitzPatrick, Mary Anne Hess, Alexandra Claudia Sudbury-Riley, Lynn Schulz, Peter Johannes |
author_facet | FitzPatrick, Mary Anne Hess, Alexandra Claudia Sudbury-Riley, Lynn Schulz, Peter Johannes |
author_sort | FitzPatrick, Mary Anne |
collection | PubMed |
description | BACKGROUND: Although 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. OBJECTIVE: This 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. METHODS: We 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. RESULTS: Analyses 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%). CONCLUSIONS: The 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. |
format | Online Article Text |
id | pubmed-6893560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-68935602019-12-23 A Typology of Patients Based on Decision-Making Styles: Cross-Sectional Survey Study FitzPatrick, Mary Anne Hess, Alexandra Claudia Sudbury-Riley, Lynn Schulz, Peter Johannes J Med Internet Res Original Paper BACKGROUND: Although 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. OBJECTIVE: This 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. METHODS: We 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. RESULTS: Analyses 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%). CONCLUSIONS: The 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. JMIR Publications 2019-11-20 /pmc/articles/PMC6893560/ /pubmed/31746770 http://dx.doi.org/10.2196/15332 Text en ©Mary Anne Anne FitzPatrick, Alexandra Claudia Hess, Lynn Sudbury-Riley, Peter Johannes Schulz. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 20.11.2019. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper 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 |
title | 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_short | 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 |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6893560/ https://www.ncbi.nlm.nih.gov/pubmed/31746770 http://dx.doi.org/10.2196/15332 |
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