Evidence map›Paper›PMID 33243214›Full record

ArticleBMC health services research2020

Leaders' perspectives on learning health systems: a qualitative study.

Joanne Enticott, Sandra Braaf, Alison Johnson, Angela Jones, Helena J Teede

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
–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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

5 authors.

Joanne EnticottMonash Centre for Health Research and Implementation, Monash University, 43-51 Kanooka Grove, Clayton, VIC, 3168, Australia. joanne.enticott@monash.edu.ORCID http://orcid.org/0000-0002-4480-5690
Sandra BraafMonash Partners Academic Health Science Centre, 43-51 Kanooka Grove, Clayton, VIC, 3168, Australia.
Alison JohnsonMonash Partners Academic Health Science Centre, 43-51 Kanooka Grove, Clayton, VIC, 3168, Australia.
Angela JonesMonash Partners Academic Health Science Centre, 43-51 Kanooka Grove, Clayton, VIC, 3168, Australia.
Helena J TeedeMonash Centre for Health Research and Implementation, Monash University, 43-51 Kanooka Grove, Clayton, VIC, 3168, Australia.

Funding

Medical Research Future Fund (Monash Partners Fellowship) 2019/20
6 · The paper itself

Abstract

backgroundIntegrated utilisation of digital health data has the power to transform healthcare to deliver more efficient and effective services, and the learning health system (LHS) is emerging as a model to achieve this. The LHS uses routine data from service delivery and patient care to generate knowledge to continuously improve healthcare. The aim of this project was to explore key features of a successful and sustainable LHS to inform implementation in an Academic Health Science Centre context.

methodsWe purposively identified and conducted semi-structured qualitative interviews with leaders, experienced in supporting or developing data driven innovations in healthcare. A thematic analysis using NVivo was undertaken.

resultsAnalysis of 26 interviews revealed five themes thought to be integral in an effective, sustainable LHS: (1) Systematic approaches and iterative, continuous learning with implementation into healthcare contributing to new best-practice care; (2) Broad stakeholder, clinician and academic engagement, with collective vision, leadership, governance and a culture of trust, transparency and co-design; (3) Skilled workforce, capability and capacity building; (4) Resources with sustained investment over time and; (5) Data access, systems and processes being integral to a sustainable LHS.

conclusionsThis qualitative study provides insights into the elements of a sustainable LHS across a range of leaders in data-driven healthcare improvement. Fundamentally, an LHS requires continuous learning with implementation of new evidence back into frontline care to improve outcomes. Structure, governance, trust, culture, vision and leadership were all seen as important along with a skilled workforce and sustained investment. Processes and systems to optimise access to quality data were also seen as vital in an effective, sustainable LHS. These findings will inform a co-designed framework for implementing a sustainable LHS within the Australian healthcare and Academic Health Science Centre context. It is anticipated that application of these findings will assist to embed and accelerate the use of routine health data to continuously generate new knowledge and ongoing improvement in healthcare delivery and health outcomes.

Indexed as

Learning Health SystemAustraliaDelivery of Health CareHumansLeadershipQualitative ResearchData-driven healthcare, evidence, healthcare improvementInformaticsLearning health system

Identifiers

PMID33243214
PMCPMC7689994

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.