Evidence map›Paper›PMID 35589026›Full record

ArticleContemporary clinical trials2022

Data-driven quality improvement program to prevent hospitalisation and improve care of people living with coronary heart disease: Protocol for a process evaluation.

Nashid Hafiz, Karice Hyun, Qiang Tu, Andrew Knight, Charlotte Hespe, Clara K Chow, Tom Briffa, Robyn Gallagher, Christopher M Reid, David L Hare and 9 more

Abstract readClinical Trial Protocol
PubMed Full text at PMC Publisher
In one paragraph

Article in Contemporary clinical trials, 2022. 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. 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

19 authors.

Nashid HafizSchool of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Australia. Electronic address: nashid.hafiz@sydney.edu.au.
Karice HyunSchool of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Australia; Department of Cardiology, Concord Hospital, ANZAC Research Institute, Sydney, Australia.
Qiang TuSchool of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Australia.
Andrew KnightPrimary and Integrated Care Unit, South Western Sydney Local Health District, Sydney, Australia; School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia.
Charlotte HespeThe University of Notre Dame, School of Medicine, Sydney, Australia.
Clara K ChowWestern Sydney Local Health District, Sydney, Australia; Westmead Applied Research Centre, Faculty of Medicine and Health, Westmead, 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 Public Health, Curtin University, Perth, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
David L HareUniversity of Melbourne, Melbourne, Australia.
Nicholas ZwarPrimary and Integrated Care Unit, South Western Sydney Local Health District, Sydney, Australia; Faculty of Health Sciences & Medicine, Bond University, Gold Coast, Australia.
Mark WoodwardThe George Institute for Global Health, University of New South Wales, Sydney, Australia; The George Institute for Global Health, School of Public Health, Imperial College London, UK.
Stephen JanThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Emily R AtkinsThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Tracey-Lea LabaUniversity of Technology Sydney Centre for Health Economics Research and Evaluation, Sydney, Australia.
Elizabeth HalcombSchool of Nursing, University of Wollongong, Wollongong, Australia.
Tracey JohnsonInala Primary Care, Brisbane, QLD, Australia.
Timothy UsherwoodThe George Institute for Global Health, University of New South Wales, Sydney, Australia; Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
Julie RedfernSchool of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Australia; The George Institute for Global Health, University of New South Wales, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPractice-level quality improvement initiatives using rapidly advancing technology offers a multidimensional approach to reduce cardiovascular disease burden. For the "QUality improvement in primary care to prevent hospitalisations and improve Effectiveness and efficiency of care for people Living with heart disease" (QUEL) cluster randomised controlled trial, a 12-month quality improvement intervention was designed for primary care practices to use data and implement progressive changes using "Plan, Do, Study, Act" cycles within their practices with training in a series of interactive workshops. This protocol aims to describe the systematic methods to conduct a process evaluation of the data-driven intervention within the QUEL study.

methodsA mixed-method approach will be used to conduct the evaluation. Quantitative data collected throughout the intervention period, via surveys and intervention materials, will be used to (1) identify the key elements of the intervention and how, for whom and in what context it was effective; (2) determine if the intervention is delivered as intended; and (3) describe practice engagement, commitment and capacity associated with various intervention components. Qualitative data, collected via semi-structured interviews and open-ended questions, will be used to gather in-depth understanding of the (1) satisfaction, utility, barriers and enablers; (2) acceptability, uptake and feasibility, and (3) effect of the COVID-19 pandemic on the implementation of the intervention.

conclusionFindings from the evaluation will provide new knowledge on the implementation of a complex, multi-component intervention at practice-level using their own electronic patient data to enhance secondary prevention of cardiovascular disease.

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

Indexed as

Cardiovascular DiseasesCoronary DiseaseCOVID-19AustraliaHospitalizationHumansPandemicsQuality ImprovementRandomized Controlled Trials as TopicCardiovascular diseaseDataMixed-method researchPrimary careProcess evaluationQuality improvementSecondary prevention

Identifiers

PMID35589026
PMCPMC9110058

What OpenQuestion holds

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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.