Effectiveness of Electronic Quality Improvement Activities to Reduce Cardiovascular Disease Risk in People With Chronic Kidney Disease in General Practice: Cluster Randomized Trial With Active Control.

Publication date: Feb 03, 2025

Future Health Today (FHT) is a program integrated with electronic medical record (EMR) systems in general practice and comprises (1) a practice dashboard to identify people at risk of, or with, chronic disease who may benefit from intervention; (2) active clinical decision support (CDS) at the point of care; and (3) quality improvement activities. One module within FHT aims to facilitate cardiovascular disease (CVD) risk reduction in people with chronic kidney disease (CKD) through the recommendation of angiotensin-converting enzyme inhibitor inhibitors (ACEI), angiotensin receptor blockers (ARB), or statins according to Australian guidelines (defined as appropriate pharmacological therapy). This study aimed to determine if the FHT program increases the proportion of general practice patients with CKD receiving appropriate pharmacological therapy (statins alone, ACEI or ARB alone, or both) to reduce CVD risk at 12 months postrandomization compared with active control (primary outcome). General practices recruited through practice-based research networks in Victoria and Tasmania were randomly allocated 1:1 to the FHT CKD module or active control. The intervention was delivered to practices between October 4, 2021, and September 30, 2022. Data extracted from EMRs for eligible patients identified at baseline were used to evaluate the trial outcomes at the completion of the intervention period. The primary analysis used an intention-to-treat approach. The intervention effect for the primary outcome was estimated with a marginal logistic model using generalized estimating equations with robust SE. Overall, of the 734 eligible patients from 19 intervention practices and 715 from 21 control practices, 82 (11. 2%) and 70 (9. 8%), respectively, had received appropriate pharmacological therapy (statins alone, ACEI or ARB alone, or both) at 12 months postintervention to reduce CVD risk, with an estimated between-trial group difference (Diff) of 2. 0% (95% CI -1. 6% to 5. 7%) and odds ratio of 1. 24 (95% CI 0. 85 to 1. 81; P=. 26). Of the 470 intervention patients and 425 control patients that received a recommendation for statins, 61 (13%) and 38 (9%) were prescribed statins at follow-up (Diff 4. 3%, 95% CI 0 to 8. 6%; odds ratio 1. 55, 95% CI 1. 02 to 2. 35; P=. 04). There was no statistical evidence to support between-group differences in other secondary outcomes and general practice health care use. FHT harnesses the data stored within EMRs to translate guidelines into practice through quality improvement activities and active clinical decision support. In this instance, it did not result in a difference in prescribing or clinical outcomes except for small changes in statin prescribing. This may relate to COVID-19-related disruptions, technical implementation challenges, and recruiting higher performing practices to the trial. A separate process evaluation will further explore factors impacting implementation and engagement with FHT. ACTRN12620000993998; https://www. anzctr. org. au/Trial/Registration/TrialReview. aspx?id=380119.

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Concepts Keywords
Actrn12620000993998 Adult
Australian Aged
Kidney Angiotensin Receptor Antagonists
Therapy Angiotensin Receptor Antagonists
Angiotensin-Converting Enzyme Inhibitors
Angiotensin-Converting Enzyme Inhibitors
cardiovascular
cardiovascular disease
Cardiovascular Diseases
chronic kidney disease
clinical decision
clinical decision support
decision support
Electronic Health Records
electronic medical record
Female
General Practice
general practice
Humans
Hydroxymethylglutaryl-CoA Reductase Inhibitors
Hydroxymethylglutaryl-CoA Reductase Inhibitors
kidney
kidney disease
logistic model
Male
medical records
Middle Aged
pharmacological
pharmacological therapy
primary care
Quality Improvement
Renal Insufficiency, Chronic
risk
risk reduction
support
Tasmania
Victoria

Semantics

Type Source Name
disease IDO quality
disease MESH Cardiovascular Disease
disease MESH Chronic Kidney Disease
drug DRUGBANK Nonoxynol-9
disease MESH chronic disease
disease IDO intervention
disease MESH COVID-19
disease IDO process
disease MESH Cardiovascular Risk
disease MESH kidney disease
disease MESH complications
disease MESH kidney failure
disease MESH death
drug DRUGBANK Morpholinylmercaptobenzothiazole
disease MESH infection
drug DRUGBANK Etoperidone
disease IDO history
disease MESH cancer
drug DRUGBANK Creatinine
drug DRUGBANK Cholesterol
disease IDO blood
drug DRUGBANK Aspartame
drug DRUGBANK Ranitidine

Original Article

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