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      Effectiveness of Quality Improvement Strategies for the Management of CKD : A Meta-Analysis

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          Abstract

          Quality improvement interventions have enhanced care for other chronic illnesses, but their effectiveness for patients with CKD is unknown. We sought to determine the effects of quality improvement strategies on clinical outcomes in adult patients with nondialysis-requiring CKD.

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          Multifactorial intervention and cardiovascular disease in patients with type 2 diabetes.

          Peter Gæde, Pernille Vedel, Nicolai H. Larsen … (2003)
          Cardiovascular morbidity is a major burden in patients with type 2 diabetes. In the Steno-2 Study, we compared the effect of a targeted, intensified, multifactorial intervention with that of conventional treatment on modifiable risk factors for cardiovascular disease in patients with type 2 diabetes and microalbuminuria. The primary end point of this open, parallel trial was a composite of death from cardiovascular causes, nonfatal myocardial infarction, nonfatal stroke, revascularization, and amputation. Eighty patients were randomly assigned to receive conventional treatment in accordance with national guidelines and 80 to receive intensive treatment, with a stepwise implementation of behavior modification and pharmacologic therapy that targeted hyperglycemia, hypertension, dyslipidemia, and microalbuminuria, along with secondary prevention of cardiovascular disease with aspirin. The mean age of the patients was 55.1 years, and the mean follow-up was 7.8 years. The decline in glycosylated hemoglobin values, systolic and diastolic blood pressure, serum cholesterol and triglyceride levels measured after an overnight fast, and urinary albumin excretion rate were all significantly greater in the intensive-therapy group than in the conventional-therapy group. Patients receiving intensive therapy also had a significantly lower risk of cardiovascular disease (hazard ratio, 0.47; 95 percent confidence interval, 0.24 to 0.73), nephropathy (hazard ratio, 0.39; 95 percent confidence interval, 0.17 to 0.87), retinopathy (hazard ratio, 0.42; 95 percent confidence interval, 0.21 to 0.86), and autonomic neuropathy (hazard ratio, 0.37; 95 percent confidence interval, 0.18 to 0.79). A target-driven, long-term, intensified intervention aimed at multiple risk factors in patients with type 2 diabetes and microalbuminuria reduces the risk of cardiovascular and microvascular events by about 50 percent. Copyright 2003 Massachusetts Medical Society
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            The Quality of Care

            Avedis Donabedian (1988)
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              Effectiveness of quality improvement strategies on the management of diabetes: a systematic review and meta-analysis.

              Andrea Tricco, Noah Ivers, Jeremy M. Grimshaw … (2012)
              The effectiveness of quality improvement (QI) strategies on diabetes care remains unclear. We aimed to assess the effects of QI strategies on glycated haemoglobin (HbA(1c)), vascular risk management, microvascular complication monitoring, and smoking cessation in patients with diabetes. We identified studies through Medline, the Cochrane Effective Practice and Organisation of Care database (from inception to July 2010), and references of included randomised clinical trials. We included trials assessing 11 predefined QI strategies or financial incentives targeting health systems, health-care professionals, or patients to improve management of adult outpatients with diabetes. Two reviewers independently abstracted data and appraised risk of bias. We reviewed 48 cluster randomised controlled trials, including 2538 clusters and 84,865 patients, and 94 patient randomised controlled trials, including 38,664 patients. In random effects meta-analysis, the QI strategies reduced HbA(1c) by a mean difference of 0·37% (95% CI 0·28-0·45; 120 trials), LDL cholesterol by 0·10 mmol/L (0·05-0.14; 47 trials), systolic blood pressure by 3·13 mm Hg (2·19-4·06, 65 trials), and diastolic blood pressure by 1·55 mm Hg (0·95-2·15, 61 trials) versus usual care. We noted larger effects when baseline concentrations were greater than 8·0% for HbA(1c), 2·59 mmol/L for LDL cholesterol, and 80 mm Hg for diastolic and 140 mm Hg for systolic blood pressure. The effectiveness of QI strategies varied depending on baseline HbA(1c) control. QI strategies increased the likelihood that patients received aspirin (11 trials; relative risk [RR] 1·33, 95% CI 1·21-1·45), antihypertensive drugs (ten trials; RR 1·17, 1·01-1·37), and screening for retinopathy (23 trials; RR 1·22, 1·13-1·32), renal function (14 trials; RR 128, 1·13-1·44), and foot abnormalities (22 trials; RR 1·27, 1·16-1·39). However, statin use (ten trials; RR 1·12, 0·99-1·28), hypertension control (18 trials; RR 1·01, 0·96-1·07), and smoking cessation (13 trials; RR 1·13, 0·99-1·29) were not significantly increased. Many trials of QI strategies showed improvements in diabetes care. Interventions targeting the system of chronic disease management along with patient-mediated QI strategies should be an important component of interventions aimed at improving diabetes management. Interventions solely targeting health-care professionals seem to be beneficial only if baseline HbA(1c) control is poor. Ontario Ministry of Health and Long-term Care and the Alberta Heritage Foundation for Medical Research (now Alberta Innovates--Health Solutions). Copyright © 2012 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                Title: Clinical Journal of the American Society of Nephrology
                Abbreviated Title: CJASN
                Publisher: American Society of Nephrology (ASN)
                ISSN (Print): 1555-9041
                ISSN (Electronic): 1555-905X
                Publication date Created: October 06 2017
                Publication date Created: October 06 2017
                Publication date (Print): October 06 2017
                Publication date (Electronic): September 06 2017
                Volume: 12
                Issue: 10
                Pages: 1601-1614
                Article
                DOI: 10.2215/CJN.02490317
                PMC ID: 5628709
                PubMed ID: 28877926
                SO-VID: 272e5fba-4452-4466-933a-95fd66b9ee6e
                Copyright © © 2017
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