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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

  • Nash Hafiz
  • , Karice Hyun
  • , Qiang Tu
  • , Andrew Knight
  • , Charlotte Hespe
  • , Clara K. Chow
  • , Tom Briffa
  • , Robyn Gallagher
  • , Christopher M. Reid
  • , David L. Hare
  • , Nicholas Zwar
  • , Mark Woodward
  • , Stephen Jan
  • , Emily R. Atkins
  • , Tracey Lea Laba
  • , Elizabeth Halcomb
  • , Tracey Johnson
  • , Deborah Manandi
  • , Tim Usherwood
  • , Julie Redfern
  • The University of Sydney
  • Concord Repatriation General Hospital
  • Southwestern Sydney Local Health District
  • University of New South Wales
  • University of Notre Dame Australia
  • Western Sydney Local Health District
  • University of Western Australia
  • Curtin University
  • Monash University
  • University of Melbourne
  • Bond University
  • Imperial College London
  • University of South Australia
  • University of Wollongong
  • Inala Primary Care

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)
1 Downloads (Pure)

Abstract

Background This 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. Methods Twenty-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. Results Sixty-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 selfreported 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. Conclusion Practice 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.
Original languageEnglish
Article numbere0298777
Number of pages19
JournalPLoS One
Volume19
Issue number6 June
DOIs
Publication statusPublished - Jun 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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