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Disposition toward privacy and information disclosure in the context of emerging health technologies

OBJECTIVE: We sought to present a model of privacy disposition and its development based on qualitative research on privacy considerations in the context of emerging health technologies. MATERIALS AND METHODS: We spoke to 108 participants across 44 interviews and 9 focus groups to understand the ran...

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Autores principales: Schairer, Cynthia E, Cheung, Cynthia, Kseniya Rubanovich, Caryn, Cho, Mildred, Cranor, Lorrie Faith, Bloss, Cinnamon S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562158/
https://www.ncbi.nlm.nih.gov/pubmed/30938756
http://dx.doi.org/10.1093/jamia/ocz010
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author Schairer, Cynthia E
Cheung, Cynthia
Kseniya Rubanovich, Caryn
Cho, Mildred
Cranor, Lorrie Faith
Bloss, Cinnamon S
author_facet Schairer, Cynthia E
Cheung, Cynthia
Kseniya Rubanovich, Caryn
Cho, Mildred
Cranor, Lorrie Faith
Bloss, Cinnamon S
author_sort Schairer, Cynthia E
collection PubMed
description OBJECTIVE: We sought to present a model of privacy disposition and its development based on qualitative research on privacy considerations in the context of emerging health technologies. MATERIALS AND METHODS: We spoke to 108 participants across 44 interviews and 9 focus groups to understand the range of ways in which individuals value (or do not value) control over their health information. Transcripts of interviews and focus groups were systematically coded and analyzed in ATLAS.ti for privacy considerations expressed by respondents. RESULTS: Three key findings from the qualitative data suggest a model of privacy disposition. First, participants described privacy related behavior as both contextual and habitual. Second, there are motivations for and deterrents to sharing personal information that do not fit into the analytical categories of risks and benefits. Third, philosophies of privacy, often described as attitudes toward privacy, should be classified as a subtype of motivation or deterrent. DISCUSSION: This qualitative analysis suggests a simple but potentially powerful conceptual model of privacy disposition, or what makes a person more or less private. Components of privacy disposition are identifiable and measurable through self-report and therefore amenable to operationalization and further quantitative inquiry. CONCLUSIONS: We propose this model as the basis for a psychometric instrument that can be used to identify types of privacy dispositions, with potential applications in research, clinical practice, system design, and policy.
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spelling pubmed-65621582019-06-17 Disposition toward privacy and information disclosure in the context of emerging health technologies Schairer, Cynthia E Cheung, Cynthia Kseniya Rubanovich, Caryn Cho, Mildred Cranor, Lorrie Faith Bloss, Cinnamon S J Am Med Inform Assoc Research and Applications OBJECTIVE: We sought to present a model of privacy disposition and its development based on qualitative research on privacy considerations in the context of emerging health technologies. MATERIALS AND METHODS: We spoke to 108 participants across 44 interviews and 9 focus groups to understand the range of ways in which individuals value (or do not value) control over their health information. Transcripts of interviews and focus groups were systematically coded and analyzed in ATLAS.ti for privacy considerations expressed by respondents. RESULTS: Three key findings from the qualitative data suggest a model of privacy disposition. First, participants described privacy related behavior as both contextual and habitual. Second, there are motivations for and deterrents to sharing personal information that do not fit into the analytical categories of risks and benefits. Third, philosophies of privacy, often described as attitudes toward privacy, should be classified as a subtype of motivation or deterrent. DISCUSSION: This qualitative analysis suggests a simple but potentially powerful conceptual model of privacy disposition, or what makes a person more or less private. Components of privacy disposition are identifiable and measurable through self-report and therefore amenable to operationalization and further quantitative inquiry. CONCLUSIONS: We propose this model as the basis for a psychometric instrument that can be used to identify types of privacy dispositions, with potential applications in research, clinical practice, system design, and policy. Oxford University Press 2019-04-02 /pmc/articles/PMC6562158/ /pubmed/30938756 http://dx.doi.org/10.1093/jamia/ocz010 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contactjournals.permissions@oup.com
spellingShingle Research and Applications
Schairer, Cynthia E
Cheung, Cynthia
Kseniya Rubanovich, Caryn
Cho, Mildred
Cranor, Lorrie Faith
Bloss, Cinnamon S
Disposition toward privacy and information disclosure in the context of emerging health technologies
title Disposition toward privacy and information disclosure in the context of emerging health technologies
title_full Disposition toward privacy and information disclosure in the context of emerging health technologies
title_fullStr Disposition toward privacy and information disclosure in the context of emerging health technologies
title_full_unstemmed Disposition toward privacy and information disclosure in the context of emerging health technologies
title_short Disposition toward privacy and information disclosure in the context of emerging health technologies
title_sort disposition toward privacy and information disclosure in the context of emerging health technologies
topic Research and Applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562158/
https://www.ncbi.nlm.nih.gov/pubmed/30938756
http://dx.doi.org/10.1093/jamia/ocz010
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