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Australian general practitioner perceptions to sharing clinical data for secondary use: a mixed method approach

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posted on 2022-10-19, 00:22 authored by RJ Varhol, S Randall, James BoydJames Boyd, S Robinson
Objective: The potential for data collected in general practice to be linked and used to address health system challenges of maintaining quality care, accessibility and safety, including pandemic support, has led to an increased interest in public acceptability of data sharing, however practitioners have rarely been asked to share their opinions on the topic. This paper attempts to gain an understanding of general practitioner’s perceptions on sharing routinely collected data for the purposes of healthcare planning and research. It also compares findings with data sharing perceptions in an international context. Materials and methods: A mixed methods approach combining an initial online survey followed by face-to-face interviews (before and during COVID-19), designed to identify the barriers and facilitators to sharing data, were conducted on a cross sectional convenience sample of general practitioners across Western Australia (WA). Results: Eighty online surveys and ten face-to-face interviews with general practitioners were conducted from November 2020 – May 2021. Although respondents overwhelmingly identified the importance of population health research, their willingness to participate in data sharing programs was determined by a perception of trust associated with the organisation collecting and analysing shared data; a clearly defined purpose and process of collected data; including a governance structure providing confidence in the data sharing initiative simultaneously enabling a process of data sovereignty and autonomy. Discussion: Results indicate strong agreement around the importance of sharing patient’s medical data for population and health research and planning. Concerns pertaining to lack of trust, governance and secondary use of data continue to be a setback to data sharing with implications for primary care business models being raised. Conclusion: To further increase general practitioner’s confidence in sharing their clinical data, efforts should be directed towards implementing a robust data governance structure with an emphasis on transparency and representative stakeholder inclusion as well as identifying the role of government and government funded organisations, as well as building trust with the entities collecting and analysing the data.

Funding

Funding was obtained from Western Australian Health Translation Network (WAHTN) for this study and had no role in the design of the study, in the collection, analysis, and interpretation of data or in writing the manuscript. This project was supported by the Western Australian Health Translation Network and the Australian Government's Medical Research Future Fund (MRFF) as part of the Rapid Applied Research Translation program.

History

Publication Date

2022-07-01

Journal

BMC Primary Care

Volume

23

Issue

1

Article Number

167

Pagination

11p.

Publisher

BMC

ISSN

2731-4553

Rights Statement

© The Author(s) 2022. Licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the licence, and indicate if changes were made. The images or other third party material in this article are included in the article's licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view the licence: http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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