Evidence map›Paper›PMID 38833486›Full record

ArticlePloS one2024

Process evaluation of a data-driven quality improvement program within a cluster randomised controlled trial to improve coronary heart disease management in Australian primary care.

Nashid Hafiz, Karice Hyun, Qiang Tu, Andrew Knight, Charlotte Hespe, Clara K Chow, Tom Briffa, Robyn Gallagher, Christopher M Reid, David L Hare and 10 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Trial
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

20 authors.

Nashid HafizSchool of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID 0000-0002-5444-1624
Karice HyunSchool of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.
Qiang TuSchool of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.
Andrew KnightPrimary and Integrated Care Unit, Southwestern Sydney Local Health District, Sydney, Australia.ORCID 0000-0001-5291-8989
Charlotte HespeThe University of Notre Dame, School of Medicine, Sydney, Australia.
Clara K ChowWestern Sydney Local Health District, Sydney, Australia.
Tom BriffaSchool of Population and Global Health, The University of Western Australia, Perth, Australia.
Robyn GallagherSydney Nursing School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
Christopher M ReidSchool of Population Health, Curtin University, Perth, Australia.ORCID 0000-0001-9173-3944
David L HareUniversity of Melbourne and Austin Health, Melbourne, Australia.
Nicholas ZwarFaculty of Health Sciences & Medicine, Bond University, Gold Coast, Australia.
Mark WoodwardThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Stephen JanThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Emily R AtkinsWestmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Westmead, Australia.
Tracey-Lea LabaClinical and Health Sciences, University of South Australia, Adelaide, Australia.
Elizabeth HalcombSchool of Nursing, University of Wollongong, Wollongong, Australia.
Tracey JohnsonInala Primary Care, Brisbane, Queensland, Australia.
Deborah ManandiSchool of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.
Tim UsherwoodWestmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Westmead, Australia.
Julie RedfernSchool of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.

Funding

Medical Research Council
6 · The paper itself

Abstract

backgroundThis study evaluates primary care practices' engagement with various features of a quality improvement (QI) intervention for patients with coronary heart disease (CHD) in four Australian states.

methodsTwenty-seven practices participated in the QI intervention from November 2019 -November 2020. A combination of surveys, semi-structured interviews and other materials within the QUality improvement in primary care to prevent hospitalisations and improve Effectiveness and efficiency of care for people Living with heart disease (QUEL) study were used in the process evaluation. Data were summarised using descriptive statistical and thematic analyses for 26 practices.

resultsSixty-four practice team members and Primary Health Networks staff provided feedback, and nine of the 63 participants participated in the interviews. Seventy-eight percent (40/54) were either general practitioners or practice managers. Although 69% of the practices self-reported improvement in their management of heart disease, engagement with the intervention varied. Forty-two percent (11/26) of the practices attended five or more learning workshops, 69% (18/26) used Plan-Do-Study-Act cycles, and the median (Interquartile intervals) visits per practice to the online SharePoint site were 170 (146-252) visits. Qualitative data identified learning workshops and monthly feedback reports as the key features of the intervention.

conclusionPractice engagement in a multi-featured data-driven QI intervention was common, with learning workshops and monthly feedback reports identified as the most useful features. A better understanding of these features will help influence future implementation of similar interventions.

trial registrationAustralian New Zealand Clinical Trials Registry (ANZCTR) number ACTRN12619001790134.

Indexed as

Coronary DiseasePrimary Health CareQuality ImprovementAustraliaDisease ManagementFemaleHumansMale

Identifiers

PMID38833486
PMCPMC11149853

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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.