Evidence map›Paper›PMID 40998448›Full record

ArticleBMJ open2025

Clinician perspectives on linked electronic health records for preventing type 2 diabetes after gestational diabetes in primary care-an Australian qualitative study.

Rochelle Sleaby, Rachel Canaway, Jo-Anne Manski-Nankervis, Douglas Boyle

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Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Rochelle SleabyDepartment of General Practice and Primary Care, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia sleabyr@unimelb.edu.au.ORCID http://orcid.org/0000-0002-2473-782X
Rachel CanawayDepartment of General Practice and Primary Care, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia.
Jo-Anne Manski-NankervisDepartment of General Practice and Primary Care, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0003-2153-3482
Douglas BoyleDepartment of General Practice and Primary Care, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective of this study was to understand primary care clinician perspectives on a novel linked health data system to facilitate diabetes prevention for individuals with a history of gestational diabetes mellitus (GDM). We used the conceptual example of linking the National Gestational Diabetes Register with primary care electronic health records to understand clinicians' views on potential implementation.

designA qualitative study of semistructured interviews with primary care clinicians.

settingAustralian primary care.

participantsPrimary care clinicians (n=14). Inclusion criteria were: general practitioners (GPs), practice nurses and/or diabetes educators working in primary care in Australia, and seeing individuals with a history of GDM; aged 18 years and over; and willing to voluntarily contribute to the project. There were no exclusion criteria.

resultsClinicians' views on acceptability, feasibility and utility were characterised by realistic optimism for a linked data system to improve GP workflow and patient outcomes. Clinicians noted existing pressures on primary care and patient concerns regarding confidentiality and privacy, and that these factors should be considered in the development process. Clinicians envisaged three functions for their clinical management systems: (1) automatically updating a patient's past history; (2) generating actionable alerts and (3) generating recall lists. DISCUSSION: Primary care clinicians were unanimously supportive of a linked health data system to facilitate diabetes prevention. Consistent with previous studies, we identified the key clinician-related enabler as the integration into existing GP workflows to facilitate pro-active clinical care. Point-of-care tools and preventative care consultations could increase the uptake of screening and provide opportunities for patient education post partum.

conclusionIn combination with effective prevention programmes, and health policy and system supports, linked health data systems could be part of the equation for type 2 diabetes prevention for individuals with a history of GDM. Larger acceptability, feasibility, co-design and implementation studies are recommended.

Indexed as

Attitude of Health PersonnelDiabetes, GestationalDiabetes Mellitus, Type 2Electronic Health RecordsPrimary Health CareAdultAustraliaFemaleHumansInterviews as TopicMaleMiddle AgedPregnancyQualitative ResearchImplementation SciencePREVENTIVE MEDICINEPrimary Health Care

Identifiers

PMID40998448
PMCPMC12481252

What Socratic holds

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.