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

被引:2
|
作者
Hafiz, Nashid [1 ]
Hyun, Karice [1 ,2 ]
Tu, Qiang [1 ]
Knight, Andrew [3 ,4 ]
Hespe, Charlotte [5 ]
Chow, Clara K. [6 ,7 ]
Briffa, Tom [8 ]
Gallagher, Robyn [9 ]
Reid, Christopher M. [10 ,11 ]
Hare, David L. [12 ]
Zwar, Nicholas [3 ,13 ]
Woodward, Mark [14 ,15 ]
Jan, Stephen [14 ]
Atkins, Emily R. [14 ]
Laba, Tracey-Lea [16 ]
Halcomb, Elizabeth [17 ]
Johnson, Tracey [18 ]
Usherwood, Timothy [14 ,19 ]
Redfern, Julie [1 ,14 ]
机构
[1] Univ Sydney, Fac Med & Hlth, Sch Hlth Sci, Sydney, NSW, Australia
[2] Concord Hosp, ANZAC Res Inst, Dept Cardiol, Sydney, NSW, Australia
[3] South Western Sydney Local Hlth Dist, Primary & Integrated Care Unit, Sydney, NSW, Australia
[4] Univ New South Wales, Sch Publ Hlth & Community Med, Sydney, NSW, Australia
[5] Univ Notre Dame, Sch Med, Sydney, NSW, Australia
[6] Western Sydney Local Hlth Dist, Sydney, NSW, Australia
[7] Westmead Appl Res Ctr, Fac Med & Hlth, Westmead, NSW, Australia
[8] Univ Western Australia, Sch Populat & Global Hlth, Perth, WA, Australia
[9] Univ Sydney, Fac Med & Hlth, Sydney Nursing Sch, Sydney, NSW, Australia
[10] Curtin Univ, Sch Publ Hlth, Perth, WA, Australia
[11] Monash Univ, Sch Publ Hlth & Prevent Med, Melbourne, Vic, Australia
[12] Univ Melbourne, Melbourne, Vic, Australia
[13] Bond Univ, Fac Hlth Sci & Med, Gold Coast, Australia
[14] Univ New South Wales, George Inst Global Hlth, Sydney, NSW, Australia
[15] Imperial Coll London, Sch Publ Hlth, George Inst Global Hlth, London, England
[16] Univ Technol Sydney, Ctr Hlth Econ Res & Evaluat, Sydney, NSW, Australia
[17] Univ Wollongong, Sch Nursing, Wollongong, NSW, Australia
[18] Inala Primary Care, Brisbane, Qld, Australia
[19] Univ Sydney, Fac Med & Hlth, Westmead Clin Sch, Sydney, NSW, Australia
基金
澳大利亚国家健康与医学研究理事会; 英国医学研究理事会;
关键词
Quality improvement; Data; Primary care; Secondary prevention; Cardiovascular disease; Process evaluation; Mixed-method research; SECONDARY PREVENTION; COLLABORATIVES; MANAGEMENT; HEALTH; FOUNDATION; STRATEGIES; GUIDELINES; AUSTRALIA; LESSONS; SOCIETY;
D O I
10.1016/j.cct.2022.106794
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
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.
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页数:8
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