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Data-driven quality improvement program to prevent hospitalisation and improve care of people living with coronary heart disease: Protocol for a process evaluation.
Hafiz, Nashid; Hyun, Karice; Tu, Qiang; Knight, Andrew; Hespe, Charlotte; Chow, Clara K; Briffa, Tom; Gallagher, Robyn; Reid, Christopher M; Hare, David L; Zwar, Nicholas; Woodward, Mark; Jan, Stephen; Atkins, Emily R; Laba, Tracey-Lea; Halcomb, Elizabeth; Johnson, Tracey; Usherwood, Timothy; Redfern, Julie.
  • Hafiz N; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Australia. Electronic address: nashid.hafiz@sydney.edu.au.
  • Hyun K; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Australia; Department of Cardiology, Concord Hospital, ANZAC Research Institute, Sydney, Australia.
  • Tu Q; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Australia.
  • Knight A; Primary 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.
  • Hespe C; The University of Notre Dame, School of Medicine, Sydney, Australia.
  • Chow CK; Western Sydney Local Health District, Sydney, Australia; Westmead Applied Research Centre, Faculty of Medicine and Health, Westmead, Australia.
  • Briffa T; School of Population and Global Health, The University of Western Australia, Perth, Australia.
  • Gallagher R; Sydney Nursing School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
  • Reid CM; School of Public Health, Curtin University, Perth, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
  • Hare DL; University of Melbourne, Melbourne, Australia.
  • Zwar N; Primary and Integrated Care Unit, South Western Sydney Local Health District, Sydney, Australia; Faculty of Health Sciences & Medicine, Bond University, Gold Coast, Australia.
  • Woodward M; The 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.
  • Jan S; The George Institute for Global Health, University of New South Wales, Sydney, Australia.
  • Atkins ER; The George Institute for Global Health, University of New South Wales, Sydney, Australia.
  • Laba TL; University of Technology Sydney Centre for Health Economics Research and Evaluation, Sydney, Australia.
  • Halcomb E; School of Nursing, University of Wollongong, Wollongong, Australia.
  • Johnson T; Inala Primary Care, Brisbane, QLD, Australia.
  • Usherwood T; The 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.
  • Redfern J; School 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.
Contemp Clin Trials ; 118: 106794, 2022 07.
Article in English | MEDLINE | ID: covidwho-1850776
ABSTRACT

BACKGROUND:

Practice-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.

METHODS:

A 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.

CONCLUSION:

Findings 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 REGISTRATION Australian New Zealand Clinical Trials Registry (ANZCTR) number ACTRN12619001790134.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Cardiovascular Diseases / Coronary Disease / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials / Systematic review/Meta Analysis Limits: Humans Country/Region as subject: Oceania Language: English Journal: Contemp Clin Trials Journal subject: Medicine / Therapeutics Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Cardiovascular Diseases / Coronary Disease / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials / Systematic review/Meta Analysis Limits: Humans Country/Region as subject: Oceania Language: English Journal: Contemp Clin Trials Journal subject: Medicine / Therapeutics Year: 2022 Document Type: Article