The Importance of Relevance: Willingness to Share eHealth Data for Family Medicine Research
- PMID: 30234095
- PMCID: PMC6131658
- DOI: 10.3389/fpubh.2018.00255
The Importance of Relevance: Willingness to Share eHealth Data for Family Medicine Research
Abstract
Objective: To determine the proportion of family medicine patients unwilling to allow their eHealth data to be used for research purposes, and evaluate how patient characteristics and the relevance of research impact that decision. Design: Cross-sectional questionnaire. Setting: Acute care respiratory clinic or an outpatient family medicine clinic in Montreal, Quebec. Participants: Four hundred seventy-four waiting room patients recruited via convenience sampling. Main Outcome Measures: A self-administered questionnaire collected data on age, gender, employment status, education, mother tongue and perceived health status. The main outcome of was self-reported relevance of three research scenarios and willingness or refusal to share their anonymized data. Responses were compared for family practice vs. specialty care patients. Results: The questionnaire was completed by 229 family medicine respondents and 245 outpatient respondents. Almost a quarter of all respondents felt the research was not relevant. Family medicine patients (15.7%) were unwilling to allow their data to be used for at least one scenario vs. 9.4% in the outpatient clinic. Lack of relevance (OR 11.55; 95% CI 5.12-26.09) and being in family practice (OR 2.13; 95% CI 1.06-4.27) increased the likelihood of refusal to share data for research. Conclusion: Family medicine patients were somewhat less willing to share eHealth data, but the overall refusal rate indicates a need to better engage patients in understanding the significance of full access to eHealth data for the purposes of research. Personal relevance of the research had a strong impact on the responses arguing for better efforts to make research more pertinent to patients.
Keywords: community health services; family practice; informed consent; patient participation; secondary data analysis.
Similar articles
-
Adolescents' willingness to use a school-based clinic in view of expressed health concerns.J Adolesc Health Care. 1988 May;9(3):208-13. doi: 10.1016/0197-0070(88)90073-3. J Adolesc Health Care. 1988. PMID: 3372287
-
Acceptability of Routine Evaluations Using Patient-Reported Outcomes of Common Terminology Criteria for Adverse Events and Other Patient-Reported Symptom Outcome Tools in Cancer Outpatients: Princess Margaret Cancer Centre Experience.Oncologist. 2019 Nov;24(11):e1219-e1227. doi: 10.1634/theoncologist.2018-0830. Epub 2019 Aug 13. Oncologist. 2019. PMID: 31409744 Free PMC article.
-
Patients' knowledge of options at the end of life: ignorance in the face of death.JAMA. 2000 Nov 15;284(19):2483-8. doi: 10.1001/jama.284.19.2483. JAMA. 2000. PMID: 11074778
-
eHealth System for Collecting and Utilizing Patient Reported Outcome Measures for Personalized Treatment and Care (PROMPT-Care) Among Cancer Patients: Mixed Methods Approach to Evaluate Feasibility and Acceptability.J Med Internet Res. 2017 Oct 2;19(10):e330. doi: 10.2196/jmir.8360. J Med Internet Res. 2017. PMID: 28970188 Free PMC article.
-
Systematic reviews of the effectiveness of day care for people with severe mental disorders: (1) acute day hospital versus admission; (2) vocational rehabilitation; (3) day hospital versus outpatient care.Health Technol Assess. 2001;5(21):1-75. doi: 10.3310/hta5210. Health Technol Assess. 2001. PMID: 11532238 Review.
Cited by
-
Color coded health data: factors related to willingness to share health information in South Asian community members in Canada.Int J Popul Data Sci. 2023 Jun 20;8(1):2134. doi: 10.23889/ijpds.v8i1.2134. eCollection 2023. Int J Popul Data Sci. 2023. PMID: 37670959 Free PMC article.
-
Testing the Effectiveness of an Animated Decision Aid to Improve Recruitment of Control Participants in a Case-Control Study: Web-Based Experiment.J Med Internet Res. 2022 Aug 26;24(8):e40015. doi: 10.2196/40015. J Med Internet Res. 2022. PMID: 36018628 Free PMC article. Clinical Trial.
-
Factors Associated With Willingness to Share Health Information: Rapid Review.JMIR Hum Factors. 2022 Feb 9;9(1):e20702. doi: 10.2196/20702. JMIR Hum Factors. 2022. PMID: 35138263 Free PMC article. Review.
-
Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective.Front Med (Lausanne). 2020 Jun 2;7:233. doi: 10.3389/fmed.2020.00233. eCollection 2020. Front Med (Lausanne). 2020. PMID: 32671078 Free PMC article.
-
Digital Natives' Preferences on Mobile Artificial Intelligence Apps for Skin Cancer Diagnostics: Survey Study.JMIR Mhealth Uhealth. 2021 Aug 27;9(8):e22909. doi: 10.2196/22909. JMIR Mhealth Uhealth. 2021. PMID: 34448722 Free PMC article.
References
LinkOut - more resources
Full Text Sources
Other Literature Sources