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

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

Awareness of familial hypercholesterolaemia in Australian primary care: A qualitative descriptive study

Background and objectives: A lack of public and health professional awareness about familial hypercholesterolaemia (FH) leads to an estimated 90,000 Australians remaining undiagnosed. The aim of this study was to establish the level of knowledge and awareness of FH in Australian general practices.Method: A qualitative descriptive methodology was used to explore baseline knowledge and perceptions of practice staff about diagnosing and managing FH. Overall, 63 interviews were conducted with general practice staff at 15 practices taking part in a National Health and Medical Research Council partnership grant study (GNT1142883).Results: Data were analysed thematically and coded into themes - knowledge/awareness/recall, management, use of guidelines/referrals, and contacting family members. Most general practitioners treated the high cholesterol component as their primary focus. Guidelines and referrals were rarely used.Discussion: This research reflected a lack of knowledge, awareness and use of guidelines similar to that shown in other published studies. Improved primary care infrastructure, knowledge and awareness of FH need to be addressed

Gender Comparison of Receipt of Government-Funded Health Services and Medication Prescriptions for the Management of Patients With Cardiovascular Disease in Primary Care.

BackgroundCardiovascular disease (CVD) and risk factors remains a major burden in terms of disease, disability, and death in the Australian population and mental health is considered as an important risk factor affecting cardiovascular disease. A multidisciplinary collaborative approach in primary care is required to ensure an optimal outcome for managing cardiovascular patients with mental health issues. Medicare introduced numerous primary care health services and medications that are subsidised by the Australian government in order to provide a more structured approach to reduce and manage CVD. However, the utilisation of these services nor gender comparison for CVD management in primary care has been explored. Therefore, the aim is to compare the provision of subsidised chronic disease management plans (CDMPs), mental health care and prescription of guideline-indicated medications to men and women with CVD in primary care practices for secondary prevention.MethodsDe-identified data for all active patients with CVD were extracted from 50 Australian primary care practices. Outcomes included the frequency of receipt of CDMPs, mental health care and prescription of evidence-based medications. Analyses adjusted for demography and clinical characteristics, stratified by gender, were performed using logistic regression and accounted for clustering effects by practices.ResultsData for 14,601 patients with CVD (39.4% women) were collected. The odds of receiving the CDMPs was significantly greater amongst women than men (preparation of general practice management plan [GPMP]: (46% vs 43%; adjusted OR [95% CI]: 1.22 [1.12, 1.34]). Women were more likely to have diagnosed with mental health issues (32% vs 20%, pConclusionWomen were more likely to receive CDMPs but less likely to receive antiplatelet medications than men, no gender difference was observed in the receipt of mental health care. However, the receipt of the CDMPs and the mental health treatment consultations were suboptimal and better use of these existing services could improve ongoing CVD management

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

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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