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Australian Journal of Primary Health Australian Journal of Primary Health Society
The issues influencing community health services and primary health care
RESEARCH ARTICLE

Big data or big risk: general practitioner, practice nurse and practice manager attitudes to providing de-identified patient health data from electronic medical records to researchers

Timothy Monaghan A B , Jo-Anne Manski-Nankervis https://orcid.org/0000-0003-2153-3482 A and Rachel Canaway A
+ Author Affiliations
- Author Affiliations

A Department of General Practice, Melbourne Medical School, The University of Melbourne, Vic. 3010, Australia.

B Corresponding author. Email: tim.monaghan@unimelb.edu.au

Australian Journal of Primary Health 26(6) 466-471 https://doi.org/10.1071/PY20153
Submitted: 22 June 2020  Accepted: 25 September 2020   Published: 9 December 2020

Abstract

Research utilising de-identified patient health information extracted from electronic medical records (EMRs) from general practices has steadily grown in recent years in response to calls to increase use of health data for research and other secondary purposes in Australia. Little is known about the views of key primary care personnel on this issue, which are important, as they may influence whether practices agree to provide EMR data for research. This exploratory qualitative study investigated the attitudes and beliefs of general practitioners (GPs), practice managers (PMs) and practice nurses (PNs) around sharing de-identified EMR patient health information with researchers. Semi-structured interviews were conducted with 11 participants (6 GPs, 3 PMs and 2 PNs) recruited via purposive sampling from general practices in Victoria, Australia. Transcripts were coded and thematically analysed. Participants were generally enthusiastic about research utilising de-identified health information extracted from EMRs for altruistic reasons, including: positive effects on primary care research, clinical practice and population health outcomes. Concerns raised included patient privacy and data breaches, third-party use of extracted data and patient consent. These findings can provide guidance to researchers and policymakers in designing and implementing projects involving de-identified health information extracted from EMRs.

Keywords: Australia, EMR, general practice, qualitative research, use of patient records for research.


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