Chronic disease IMPACT (chronic disease early detection and improved management in primary care project): An Australian stepped wedge cluster randomised trial

Author:

Jones Julia L123ORCID,Simons Koen45,Manski-Nankervis Jo-Anne6,Lumsden Natalie G126,Fernando Sanduni1,de Courten Maximilian P78,Cox Nicholas289,Hamblin Peter Shane2310,Janus Edward D2311,Nelson Craig L123

Affiliation:

1. Nephrology, Western Health, Melbourne, Australia

2. Western Health Chronic Disease Alliance, Melbourne, Australia

3. Department of Medicine, The University of Melbourne, Melbourne, Australia

4. Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia

5. Office for Research, Western Health, Melbourne, Australia

6. Department of General Practice, The University of Melbourne, Melbourne, Australia

7. Mitchell Institute for Education and Health Policy, Melbourne, Australia

8. Centre for Chronic Disease, Victoria University, Melbourne, Australia

9. Cardiology, Western Health, Melbourne, Australia

10. Endocrinology and Diabetes, Western Health, Melbourne, Australia

11. Medicine, Western Health, Melbourne, Australia

Abstract

BackgroundInterrelated chronic vascular diseases (chronic kidney disease (CKD), type 2 diabetes (T2D) and cardiovascular disease (CVD)) are common with high morbidity and mortality. This study aimed to assess if an electronic-technology-based quality improvement intervention in primary care could improve detection and management of people with and at risk of these diseases.MethodsStepped-wedge trial with practices randomised to commence intervention in one of five 16-week periods. Intervention included (1) electronic-technology tool extracting data from general practice electronic medical records and generating graphs and lists for audit; (2) education regarding chronic disease and the electronic-technology tool; (3) assistance with quality improvement audit plan development, benchmarking, monitoring and support. De-identified data analysis using R 3.5.1 conducted using Bayesian generalised linear mixed model with practice and time-specific random intercepts.ResultsAt baseline, eight included practices had 37,946 active patients (attending practice ≥3 times within 2 years) aged ≥18 years. Intervention was associated with increased OR (95% CI) for: kidney health checks (estimated glomerular filtration rate, urine albumin:creatinine ratio (uACR) and blood pressure) in those at risk 1.34 (1.26–1.42); coded diagnosis of CKD 1.18 (1.09–1.27); T2D diagnostic testing (fasting glucose or HbA1c) in those at risk 1.15 (1.08–1.23); uACR in patients with T2D 1.78 (1.56–2.05). Documented eye checks within recommended frequency in patients with T2D decreased 0.85 (0.77–0.96). There were no significant changes in other assessed variables.ConclusionsThis electronic-technology-based intervention in primary care has potential to help translate guidelines into practice but requires further refining to achieve widespread improvements across the interrelated chronic vascular diseases.

Funder

Better Care Victoria

Western Health Foundation

North West Melbourne Medicare Local

Macedon Ranges Medicare Local

Publisher

SAGE Publications

Subject

Health Information Management,Computer Science Applications,Health Informatics,Health Policy

Reference52 articles.

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