Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2022 Feb 9;9(1):e20702.
doi: 10.2196/20702.

Factors Associated With Willingness to Share Health Information: Rapid Review

Affiliations
Review

Factors Associated With Willingness to Share Health Information: Rapid Review

Iffat Naeem et al. JMIR Hum Factors. .

Abstract

Background: To expand research and strategies to prevent disease, comprehensive and real-time data are essential. Health data are increasingly available from platforms such as pharmaceuticals, genomics, health care imaging, medical procedures, wearable devices, and internet activity. Further, health data are integrated with an individual's sociodemographic information, medical conditions, genetics, treatments, and health care. Ultimately, health information generation and flow are controlled by the patient or participant; however, there is a lack of understanding about the factors that influence willingness to share health information. A synthesis of the current literature on the multifactorial nature of health information sharing preferences is required to understand health information exchange.

Objective: The objectives of this review are to identify peer-reviewed literature that reported factors associated with health information sharing and to organize factors into cohesive themes and present a narrative synthesis of factors related to willingness to share health information.

Methods: This review uses a rapid review methodology to gather literature regarding willingness to share health information within the context of eHealth, which includes electronic health records, personal health records, mobile health information, general health information, or information on social determinants of health. MEDLINE and Google Scholar were searched using keywords such as electronic health records AND data sharing OR sharing preference OR willingness to share. The search was limited to any population that excluded health care workers or practitioners, and the participants aged ≥18 years within the US or Canadian context. The data abstraction process using thematic analysis where any factors associated with sharing health information were highlighted and coded inductively within each article. On the basis of shared meaning, the coded factors were collated into major themes.

Results: A total of 26 research articles met our inclusion criteria and were included in the qualitative analysis. The inductive thematic coding process revealed multiple major themes related to sharing health information.

Conclusions: This review emphasized the importance of data generators' viewpoints and the complex systems of factors that shape their decision to share health information. The themes explored in this study emphasize the importance of trust at multiple levels to develop effective information exchange partnerships. In the case of improving precision health care, addressing the factors presented here that influence willingness to share information can improve sharing capacity for individuals and allow researchers to reorient their methods to address hesitation in sharing health information.

Keywords: EMR; PHR; health data; health information; information sharing; mobile phone.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Study flow diagram.
Figure 2
Figure 2
Factors related to willingness to share health information inductively coded within included papers and collated into major themes. IT: information technology.
Figure 3
Figure 3
Dimensions of trust during the sharing process.

References

    1. Prosperi M, Min JS, Bian J, Modave F. Big data hurdles in precision medicine and precision public health. BMC Med Inform Decis Mak. 2018 Dec 29;18(1):139. doi: 10.1186/s12911-018-0719-2. https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-0... 10.1186/s12911-018-0719-2 - DOI - DOI - PMC - PubMed
    1. van Panhuis WG, Paul P, Emerson C, Grefenstette J, Wilder R, Herbst AJ, Heymann D, Burke DS. A systematic review of barriers to data sharing in public health. BMC Public Health. 2014 Nov 05;14(1):1144. doi: 10.1186/1471-2458-14-1144. https://bmcpublichealth.biomedcentral.com/articles/10.1186/1471-2458-14-... 1471-2458-14-1144 - DOI - DOI - PMC - PubMed
    1. Morgan A, Mooney S, Aronow B, Brenner S. Precision medicine: data and discovery for improved health and therapy. Proceedings of the Pacific Symposium - Biocomputing 2016; Pacific Symposium - Biocomputing 2016; January 4–8, 2016; Kohala Coast, Hawaii, USA. 2016. pp. 243–8. - DOI - PMC - PubMed
    1. Leff DR, Yang G. Big data for precision medicine. Engineering. 2015 Sep;1(3):277–9. doi: 10.15302/j-eng-2015075. - DOI
    1. Khoury MJ, Iademarco MF, Riley WT. Precision public health for the era of precision medicine. Am J Prev Med. 2016 Mar;50(3):398–401. doi: 10.1016/j.amepre.2015.08.031. http://europepmc.org/abstract/MED/26547538 S0749-3797(15)00522-X - DOI - PMC - PubMed