Evidence map›Paper›PMID 36653772›Full record

ArticleBMC primary care2023

The journey to a learning health system in primary care: a qualitative case study utilising an embedded research approach.

Genevieve Dammery, Louise A Ellis, Kate Churruca, Janani Mahadeva, Francisco Lopez, Ann Carrigan, Nicole Halim, Simon Willcock, Jeffrey Braithwaite

Abstract read
In one paragraph

Article in BMC primary care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  13. High-performing primary care: reinvigorating general practice as a learning health system.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Genevieve DammeryCentre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, North Ryde, Sydney, NSW, 2109, Australia.
Louise A EllisCentre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, North Ryde, Sydney, NSW, 2109, Australia.
Kate ChurrucaCentre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, North Ryde, Sydney, NSW, 2109, Australia.
Janani MahadevaMQ Health, Macquarie University, Sydney, NSW, Australia.
Francisco LopezAustralian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia.
Ann CarriganCentre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, North Ryde, Sydney, NSW, 2109, Australia.
Nicole HalimCentre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, North Ryde, Sydney, NSW, 2109, Australia.
Simon WillcockMQ Health, Macquarie University, Sydney, NSW, Australia.
Jeffrey BraithwaiteCentre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, North Ryde, Sydney, NSW, 2109, Australia. Jeffrey.braithwaite@mq.edu.au.

Funding

National Health and Medical Research Council 9100002
6 · The paper itself

Abstract

backgroundHealthcare systems may be resilient and adaptive, but they are not fit for purpose in their current state. Increasing threats to health system sustainability have underscored the need to move towards a learning health system in which research and data are used routinely in clinical practice to facilitate system improvement. This study aimed to establish which elements of the learning health system were being realised within a university-based general practice and determine acceptability from staff to embrace further the transition towards a learning health system.

methodsSemi-structured interviews were conducted with practice staff, including clinical and administrative staff, to determine the current state of the learning health system in the practice. An embedded researcher was placed within the general practice on a part-time basis to investigate the learning health system model. Interviews were transcribed and thematically analysed based on the National Academy of Medicine's framework of learning health systems.

resultsIn total, 32 (91%) practice staff were interviewed, comprising general practitioners (n = 15), nurses (n = 3), administrative staff (n = 13), and a psychologist (n = 1). Participants indicated that the practice was operating with several characteristics of a learning health system (e.g., emphasising science and informatics; focusing on patient-clinician partnerships; applying incentives; supporting a continuous learning culture; and establishing structures and governance for learning). These measures were supported by the university-based setting, and resultant culture of learning. Nevertheless, there were areas of the practice where the learning health system could be strengthened, specifically relating to the use of patient data and informatics. Staff generally expressed willingness to engage with the process of strengthening the learning health system within their practice.

conclusionAlthough the idea of a learning health system has been gaining traction in recent years, there are comparatively few empirical studies presented in the literature. This research presents a case study of a general practice that is operating as a learning health system and highlights the utility of using the learning health system framework.

Indexed as

General PracticeGeneral PractitionersLearning Health SystemHumansPrimary Health CareQualitative ResearchGeneral practiceLearning health systemPrimary careQuadruple aim

Identifiers

PMID36653772
PMCPMC9849102

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 OpenQuestion graph.