Literature DB >> 28069667

From loquacious to reticent: understanding patient health information communication to guide consumer health IT design.

Rupa S Valdez1, Thomas M Guterbock1, Kara Fitzgibbon1, Ishan C Williams2, Claire A Wellbeloved-Stone3, Jaime E Bears3, Hannah K Menefee4.   

Abstract

BACKGROUND AND SIGNIFICANCE: It is increasingly recognized that some patients self-manage in the context of social networks rather than alone. Consumer health information technology (IT) designed to support socially embedded self-management must be responsive to patients' everyday communication practices. There is an opportunity to improve consumer health IT design by explicating how patients currently leverage social media to support health information communication.
OBJECTIVE: The objective of this study was to determine types of health information communication patterns that typify Facebook users with chronic health conditions to guide consumer health IT design.
MATERIALS AND METHODS: Seven hundred participants with type 2 diabetes were recruited through a commercial survey access panel. Cluster analysis was used to identify distinct approaches to health information communication both on and off Facebook. Analysis of variance (ANOVA) methods were used to identify demographic and behavioral differences among profiles. Secondary analysis of qualitative interviews ( n  = 25) and analysis of open-ended survey questions were conducted to understand participant rationales for each profile.
RESULTS: Our analysis yielded 7 distinct health information communication profiles. Five of 7 profiles had consistent patterns both on and off Facebook, while the remaining 2 demonstrated distinct practices, with no health information communication on Facebook but some off Facebook. One profile was distinct from all others in both health information communication practices and demographic composition. Rationales for following specific health information communication practices were categorized under 6 themes: altruism, instrumental support, social support, privacy and stigma, convenience, and Facebook knowledge.
CONCLUSION: Facebook has been widely adopted for health information communication; This study demonstrates that Facebook has been widely adopted for health information communication. It also shows that the ways in which patients communicate health information on and off Facebook are diverse.
© The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2017        PMID: 28069667      PMCID: PMC7651950          DOI: 10.1093/jamia/ocw155

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  51 in total

1.  Transforming consumer health informatics through a patient work framework: connecting patients to context.

Authors:  Rupa S Valdez; Richard J Holden; Laurie L Novak; Tiffany C Veinot
Journal:  J Am Med Inform Assoc       Date:  2014-08-14       Impact factor: 4.497

2.  Information seeking and social support in online health communities: impact on patients' perceived empathy.

Authors:  Priya Nambisan
Journal:  J Am Med Inform Assoc       Date:  2011-05-01       Impact factor: 4.497

3.  The digital divide in adoption and use of a personal health record.

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Journal:  Arch Intern Med       Date:  2011-03-28

4.  Attributing discrimination to weight: associations with well-being, self-care, and disease status in patients with type 2 diabetes mellitus.

Authors:  Lindsey Potter; Kenneth Wallston; Paula Trief; Jan Ulbrecht; Vanessa Juth; Joshua Smyth
Journal:  J Behav Med       Date:  2015-07-02

5.  Patient and family engagement: a framework for understanding the elements and developing interventions and policies.

Authors:  Kristin L Carman; Pam Dardess; Maureen Maurer; Shoshanna Sofaer; Karen Adams; Christine Bechtel; Jennifer Sweeney
Journal:  Health Aff (Millwood)       Date:  2013-02       Impact factor: 6.301

6.  Patients with lower activation associated with higher costs; delivery systems should know their patients' 'scores'.

Authors:  Judith H Hibbard; Jessica Greene; Valerie Overton
Journal:  Health Aff (Millwood)       Date:  2013-02       Impact factor: 6.301

7.  Disparities by race and ethnicity in cancer survivor stories available on the web.

Authors:  Katherine S Eddens; Matthew W Kreuter; Jennifer C Morgan; Kate E Beatty; Sina A Jasim; Lori Garibay; Donghua Tao; Trent D Buskirk; Keri A Jupka
Journal:  J Med Internet Res       Date:  2009-11-30       Impact factor: 5.428

8.  Gender Differences in Searching for Health Information on the Internet and the Virtual Patient-Physician Relationship in Germany: Exploratory Results on How Men and Women Differ and Why.

Authors:  Sonja Bidmon; Ralf Terlutter
Journal:  J Med Internet Res       Date:  2015-06-22       Impact factor: 5.428

9.  Predictors of eHealth usage: insights on the digital divide from the Health Information National Trends Survey 2012.

Authors:  Emily Kontos; Kelly D Blake; Wen-Ying Sylvia Chou; Abby Prestin
Journal:  J Med Internet Res       Date:  2014-07-16       Impact factor: 5.428

10.  Use of an electronic patient portal among the chronically ill: an observational study.

Authors:  Iiris Riippa; Miika Linna; Ilona Rönkkö; Virpi Kröger
Journal:  J Med Internet Res       Date:  2014-12-08       Impact factor: 5.428

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  5 in total

Review 1.  Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.

Authors:  Ivan Contreras; Josep Vehi
Journal:  J Med Internet Res       Date:  2018-05-30       Impact factor: 5.428

2.  The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations.

Authors:  Quynh Pham; Anissa Gamble; Jason Hearn; Joseph A Cafazzo
Journal:  J Med Internet Res       Date:  2021-02-10       Impact factor: 5.428

3.  Patients' and healthcare providers' perceptions and experiences of telehealth use and online health information use in chronic disease management for older patients with chronic obstructive pulmonary disease: a qualitative study.

Authors:  Yuyu Jiang; Pingping Sun; Zhongyi Chen; Jianlan Guo; Shanshan Wang; Fenglan Liu; Jinping Li
Journal:  BMC Geriatr       Date:  2022-01-03       Impact factor: 3.921

4.  Mechanisms of Communicating Health Information Through Facebook: Implications for Consumer Health Information Technology Design.

Authors:  Hannah K Menefee; Morgan J Thompson; Thomas M Guterbock; Ishan C Williams; Rupa S Valdez
Journal:  J Med Internet Res       Date:  2016-08-11       Impact factor: 5.428

5.  Development and Validation of Peer Relationship Scale for Chinese Community-Dwelling Elderly.

Authors:  Jingjing Fu; Zhen Cheng; Siqi Liu; Zongping Hu; Zhu Zhong; Yu Luo
Journal:  Psychol Res Behav Manag       Date:  2021-06-28
  5 in total

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