Canaway, Rachel
Boyle, Douglas
Manski-Nankervis, Jo-Anne
Gray, Kathleen
Funding for this research was provided by:
Australian Government Medical Research Futures Fund (MRFF) Rapid Applied Research Translation Initiative 2.1 scheme via Melbourne Academic Centre for Health
Article History
Received: 27 August 2021
Accepted: 23 March 2022
First Online: 6 April 2022
Declarations
:
: The study methods were approved by the General Practice Human Ethics Advisory Group (ratified by the Human Research Ethics Committee), The University of Melbourne (ID 1852055, 16 Aug 2018). The research was performed in accordance with the approved protocol and the Australian National Statement on Ethical Conduct in Human Research. The online questionnaire commenced with a consent statement that made explicit that on completing and submitting the questionnaire consent to participated was implied. What that consent entailed was detailed in a downloadable plain language explanatory statement. The consent-related documentation for survey and interview participants acknowledged that information was being gathered from a small number of experts, so despite the identities and personal details of participants being withheld from the results, we could not guarantee participant anonymity given the relatively small pool of eligible participants. In addition, participants had opportunity to opt in to being publicly acknowledged, in published results, as having contributed to the research. Informed consent was obtained from all participants.
: Not applicable.
: KG has no competing interests. DB, JMN and RC were associated with the Data for Decisions research initiative ExternalRef removed. DB is the Director of the HaBIC Research Information Technology Unit, Department of General Practice that develops and implements the GRHANITEĀ® research data collection tool utilised in a number of GP data collections including NPS MedicineInsight and Data for Decisions, and is a member of the Melbourne Academic Centre for Health (MACH) Primary Care Committee and the Data Driven Healthcare Improvement Committee, and lead of the AHRA/MACH Transformational Data Collaboration.