Cited by 89Mobile Health and mHealth ApplicationsElectronic Health Records SystemsHealth, Technology, Consumer Behavior

Willingness to Exchange Health Information via Mobile Devices: Findings From a Population-Based Survey

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Serrano, K. J., Yu, M., Riley, W. T., Patel, V., Hughes, P., Marchesini, K., Atienza, A. A.·2016·The Annals of Family Medicine

Abstract

PURPOSE: The rapid proliferation of mobile devices offers unprecedented opportunities for patients and health care professionals to exchange health information electronically, but little is known about patients' willingness to exchange various types of health information using these devices. We examined willingness to exchange different types of health information via mobile devices, and assessed whether sociodemographic characteristics and trust in clinicians were associated with willingness in a nationally representative sample. METHODS: We analyzed data for 3,165 patients captured in the 2013 Health Information National Trends Survey. Multinomial logistic regression analysis was conducted to test differences in willingness. Ordinal logistic regression analysis assessed correlates of willingness to exchange 9 types of information separately. RESULTS: Participants were very willing to exchange appointment reminders (odds ratio [OR] = 6.66; 95% CI, 5.68-7.81), general health tips (OR = 2.03; 95% CI, 1.74-2.38), medication reminders (OR = 2.73; 95% CI, 2.35-3.19), laboratory/test results (OR = 1.76; 95% CI, 1.62-1.92), vital signs (OR = 1.63; 95% CI, 1.48-1.80), lifestyle behaviors (OR = 1.40; 95% CI, 1.24-1.58), and symptoms (OR = 1.62; 95% CI, 1.46-1.79) as compared with diagnostic information. Older adults had lower odds of being more willing to exchange any type of information. Education, income, and trust in health care professional information correlated with willingness to exchange certain types of information. CONCLUSIONS: Respondents were less willing to exchange via mobile devices information that may be considered sensitive or complex. Age, socioeconomic factors, and trust in professional information were associated with willingness to engage in mobile health information exchange. Both information type and demographic group should be considered when developing and tailoring mobile technologies for patient-clinician communication.

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  1. Rutten L, Hesse BW, Moser RP, Kreps G, eds. Building the Evidence Base in Cancer Communication. Cresskill, NJ: Hampton Press; 2011.

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Authors
Serrano, K. J., Yu, M., Riley, W. T., Patel, V., Hughes, P., Marchesini, K., & Atienza, A. A.
Affiliations
  • National Institutes of Health (US)
  • National Cancer Institute (US)
  • United States Department of Health and Human Services (US)
Venue
The Annals of Family Medicine
Published
2016-01-01
Volume
14
Issue
1
Pages
34-40
ISSN
  • 1544-1709 (ISSN-L)
  • 1544-1717
OpenAlex
W2237568987
Cited by
89
References
26
Citations by year
2026: 3 · 2025: 6 · 2024: 6 · 2023: 6 · 2022: 9 · 2021: 7 · 2020: 12 · 2019: 14 · 2018: 9 · 2017: 10 · 2016: 7
FWCI
24.80
Type
journal article
Language
en
Open access
Locations
  • The Annals of Family Medicine (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
Keywords
mobile health, health information exchange, patient willingness, mobile devices, patient-clinician communication, clinician trust, sensitive health data, appointment reminders, medication reminders, laboratory findings, sociodemographic factors, older adults, socioeconomic factors, Health Information National Trends Survey
MeSH terms
Adolescent, Adult, Age Factors, Aged, Cross-Sectional Studies, Educational Status, Humans, Male, Middle Aged, Physician-Patient Relations, Surveys and Questionnaires, Socioeconomic Factors, United States, Logistic Models, Odds Ratio, Telemedicine, Disclosure, Information Dissemination, Trust, Young Adult, Health Records, Personal

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