TY - JOUR
T1 - Data-driven quality improvement program to prevent hospitalisation and improve care of people living with coronary heart disease: Protocol for a process evaluation
AU - Hafiz, Nashid
AU - Hyun, Karice
AU - Tu, Qiang
AU - Knight, Andrew
AU - Hespe, Charlotte
AU - Chow, Clara K.
AU - Briffa, Tom
AU - Gallagher, Robyn
AU - Reid, Christopher M.
AU - Hare, David L.
AU - Zwar, Nicholas
AU - Woodward, Mark
AU - Jan, Stephen
AU - Atkins, Emily R.
AU - Laba, Tracey Lea
AU - Halcomb, Elizabeth
AU - Johnson, Tracey
AU - Usherwood, Timothy
AU - Redfern, Julie
N1 - Funding Information:
Funding for this study was provided by a National Health and Medical Research Council (NHMRC) Partnership Project Grant (Award Grant Number: GNT1140807). Additional in-kind and cash support from the following partner organisations; Amgen (cash support), Austin Health, Australian Cardiovascular Health and Rehabilitation Association, Australian Commission on Safety and Quality in Health Care , Australian Primary Health Care Nurses Association, Brisbane South PHN, Fairfield General Practice Unit, Heart Support Australia, Improvement Foundation, Inala Primary Care, National Heart Foundation of Australia , Nepean Blue Mountains PHN (cash support), Royal Australian College of General Practitioners , Sanofi (provided cash support via the Externally Sponsored Collaboration pathway), South Western Sydney PHN, The George Institute for Global Health (cash support) and University of Melbourne . JR is supported by a NHMRC Career Development Fellowship (APP1143538). KH is supported by the NHMRC Investigator Grant (Emerging leadership 1) ( APP1196724 ). MW is supported by the NHMRC grants (1080206 and 1149987). CR is supported by a NHMRC Principal Research Fellowship (APP1136372). TL is funded by a NHMRC Early Career Fellowship (APP110230). EA is supported by a National Heart Foundation Australia postdoctoral fellowship (101884). CC's salary is funded by a Career Development Fellowship level 2 co-funded by the NHMRC and National Heart Foundation Future Leader Award (APP1105447), which supports 0.05FTE for trial meetings.
Publisher Copyright:
© 2022 The Authors
PY - 2022/7
Y1 - 2022/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85131042339&partnerID=8YFLogxK
U2 - 10.1016/j.cct.2022.106794
DO - 10.1016/j.cct.2022.106794
M3 - Article
C2 - 35589026
AN - SCOPUS:85131042339
SN - 1551-7144
VL - 118
JO - Contemporary Clinical Trials
JF - Contemporary Clinical Trials
M1 - 106794
ER -
