Effectiveness of quality improvement strategies on the management of diabetes: a systematic review and meta-analysis

Summary Background The effectiveness of quality improvement (QI) strategies on diabetes care remains unclear. We aimed to assess the effects of QI strategies on glycated haemoglobin (HbA1c ), vascular risk management, microvascular complication monitoring, and smoking cessation in patients with diab...

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Veröffentlicht in:The Lancet (British edition) 2012-06, Vol.379 (9833), p.2252-2261
Hauptverfasser: Tricco, Andrea C, Dr, Ivers, Noah M, MD, Grimshaw, Jeremy M, Prof, Moher, David, PhD, Turner, Lucy, MSc, Galipeau, James, PhD, Halperin, Ilana, MD, Vachon, Brigitte, PhD, Ramsay, Tim, PhD, Manns, Braden, MD, Tonelli, Marcello, MD, Shojania, Kaveh, MD
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container_issue 9833
container_start_page 2252
container_title The Lancet (British edition)
container_volume 379
creator Tricco, Andrea C, Dr
Ivers, Noah M, MD
Grimshaw, Jeremy M, Prof
Moher, David, PhD
Turner, Lucy, MSc
Galipeau, James, PhD
Halperin, Ilana, MD
Vachon, Brigitte, PhD
Ramsay, Tim, PhD
Manns, Braden, MD
Tonelli, Marcello, MD
Shojania, Kaveh, MD
description Summary Background The effectiveness of quality improvement (QI) strategies on diabetes care remains unclear. We aimed to assess the effects of QI strategies on glycated haemoglobin (HbA1c ), vascular risk management, microvascular complication monitoring, and smoking cessation in patients with diabetes. Methods 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. Findings 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 HbA1c 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 HbA1c , 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 HbA1c 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. Interpretation 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 HbA1c control is poor
doi_str_mv 10.1016/S0140-6736(12)60480-2
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We aimed to assess the effects of QI strategies on glycated haemoglobin (HbA1c ), vascular risk management, microvascular complication monitoring, and smoking cessation in patients with diabetes. Methods 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. Findings 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 HbA1c 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 HbA1c , 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 HbA1c 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. Interpretation 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 HbA1c control is poor. Funding Ontario Ministry of Health and Long-term Care and the Alberta Heritage Foundation for Medical Research (now Alberta Innovates—Health Solutions).</description><identifier>ISSN: 0140-6736</identifier><identifier>EISSN: 1474-547X</identifier><identifier>DOI: 10.1016/S0140-6736(12)60480-2</identifier><identifier>PMID: 22683130</identifier><identifier>CODEN: LANCAO</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>adults ; Aged ; antihypertensive agents ; aspirin ; Biological and medical sciences ; biomedical research ; Blood pressure ; Blood Pressure - physiology ; Case management ; Cholesterol ; Cholesterol, LDL - metabolism ; chronic diseases ; Diabetes ; Diabetes Mellitus, Type 1 - physiopathology ; Diabetes Mellitus, Type 1 - therapy ; Diabetes Mellitus, Type 2 - physiopathology ; Diabetes Mellitus, Type 2 - therapy ; Diabetes. Impaired glucose tolerance ; diastolic blood pressure ; disease control ; economic incentives ; Education ; Endocrine pancreas. Apud cells (diseases) ; Endocrinopathies ; Etiopathogenesis. Screening. Investigations. Target tissue resistance ; Female ; General aspects ; Glycated Hemoglobin A - metabolism ; Health care ; health care workers ; hemoglobin ; Humans ; Hypertension ; Internal Medicine ; Intervention ; long term care ; low density lipoprotein cholesterol ; Male ; Medical research ; Medical sciences ; meta-analysis ; Methods ; Microcirculation ; Middle Aged ; monitoring ; patients ; Quality Improvement ; randomized clinical trials ; Randomized Controlled Trials as Topic ; relative risk ; Renal function ; retinal diseases ; Risk management ; screening ; Smoking Cessation ; Statistical analysis ; Studies ; Systematic review ; systolic blood pressure</subject><ispartof>The Lancet (British edition), 2012-06, Vol.379 (9833), p.2252-2261</ispartof><rights>Elsevier Ltd</rights><rights>2012 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2012 Elsevier Ltd. 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We aimed to assess the effects of QI strategies on glycated haemoglobin (HbA1c ), vascular risk management, microvascular complication monitoring, and smoking cessation in patients with diabetes. Methods 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. Findings 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 HbA1c 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 HbA1c , 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 HbA1c 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. Interpretation 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 HbA1c control is poor. Funding Ontario Ministry of Health and Long-term Care and the Alberta Heritage Foundation for Medical Research (now Alberta Innovates—Health Solutions).</description><subject>adults</subject><subject>Aged</subject><subject>antihypertensive agents</subject><subject>aspirin</subject><subject>Biological and medical sciences</subject><subject>biomedical research</subject><subject>Blood pressure</subject><subject>Blood Pressure - physiology</subject><subject>Case management</subject><subject>Cholesterol</subject><subject>Cholesterol, LDL - metabolism</subject><subject>chronic diseases</subject><subject>Diabetes</subject><subject>Diabetes Mellitus, Type 1 - physiopathology</subject><subject>Diabetes Mellitus, Type 1 - therapy</subject><subject>Diabetes Mellitus, Type 2 - physiopathology</subject><subject>Diabetes Mellitus, Type 2 - therapy</subject><subject>Diabetes. Impaired glucose tolerance</subject><subject>diastolic blood pressure</subject><subject>disease control</subject><subject>economic incentives</subject><subject>Education</subject><subject>Endocrine pancreas. Apud cells (diseases)</subject><subject>Endocrinopathies</subject><subject>Etiopathogenesis. Screening. Investigations. 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Target tissue resistance</topic><topic>Female</topic><topic>General aspects</topic><topic>Glycated Hemoglobin A - metabolism</topic><topic>Health care</topic><topic>health care workers</topic><topic>hemoglobin</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Internal Medicine</topic><topic>Intervention</topic><topic>long term care</topic><topic>low density lipoprotein cholesterol</topic><topic>Male</topic><topic>Medical research</topic><topic>Medical sciences</topic><topic>meta-analysis</topic><topic>Methods</topic><topic>Microcirculation</topic><topic>Middle Aged</topic><topic>monitoring</topic><topic>patients</topic><topic>Quality Improvement</topic><topic>randomized clinical trials</topic><topic>Randomized Controlled Trials as Topic</topic><topic>relative risk</topic><topic>Renal function</topic><topic>retinal diseases</topic><topic>Risk management</topic><topic>screening</topic><topic>Smoking Cessation</topic><topic>Statistical analysis</topic><topic>Studies</topic><topic>Systematic review</topic><topic>systolic blood pressure</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tricco, Andrea C, Dr</creatorcontrib><creatorcontrib>Ivers, Noah M, MD</creatorcontrib><creatorcontrib>Grimshaw, Jeremy M, Prof</creatorcontrib><creatorcontrib>Moher, David, PhD</creatorcontrib><creatorcontrib>Turner, Lucy, MSc</creatorcontrib><creatorcontrib>Galipeau, James, PhD</creatorcontrib><creatorcontrib>Halperin, Ilana, MD</creatorcontrib><creatorcontrib>Vachon, Brigitte, PhD</creatorcontrib><creatorcontrib>Ramsay, Tim, PhD</creatorcontrib><creatorcontrib>Manns, Braden, MD</creatorcontrib><creatorcontrib>Tonelli, Marcello, MD</creatorcontrib><creatorcontrib>Shojania, Kaveh, MD</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>News PRO</collection><collection>Pharma and Biotech Premium PRO</collection><collection>Global News &amp; 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Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Newsstand Professional</collection><collection>ProQuest Biological Science Collection</collection><collection>Consumer Health Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><jtitle>The Lancet (British edition)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tricco, Andrea C, Dr</au><au>Ivers, Noah M, MD</au><au>Grimshaw, Jeremy M, Prof</au><au>Moher, David, PhD</au><au>Turner, Lucy, MSc</au><au>Galipeau, James, PhD</au><au>Halperin, Ilana, MD</au><au>Vachon, Brigitte, PhD</au><au>Ramsay, Tim, PhD</au><au>Manns, Braden, MD</au><au>Tonelli, Marcello, MD</au><au>Shojania, Kaveh, MD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effectiveness of quality improvement strategies on the management of diabetes: a systematic review and meta-analysis</atitle><jtitle>The Lancet (British edition)</jtitle><addtitle>Lancet</addtitle><date>2012-06-16</date><risdate>2012</risdate><volume>379</volume><issue>9833</issue><spage>2252</spage><epage>2261</epage><pages>2252-2261</pages><issn>0140-6736</issn><eissn>1474-547X</eissn><coden>LANCAO</coden><abstract>Summary Background The effectiveness of quality improvement (QI) strategies on diabetes care remains unclear. We aimed to assess the effects of QI strategies on glycated haemoglobin (HbA1c ), vascular risk management, microvascular complication monitoring, and smoking cessation in patients with diabetes. Methods 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. Findings 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 HbA1c 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 HbA1c , 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 HbA1c 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. Interpretation 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 HbA1c control is poor. Funding Ontario Ministry of Health and Long-term Care and the Alberta Heritage Foundation for Medical Research (now Alberta Innovates—Health Solutions).</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>22683130</pmid><doi>10.1016/S0140-6736(12)60480-2</doi><tpages>10</tpages></addata></record>
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identifier ISSN: 0140-6736
ispartof The Lancet (British edition), 2012-06, Vol.379 (9833), p.2252-2261
issn 0140-6736
1474-547X
language eng
recordid cdi_proquest_miscellaneous_1021127117
source MEDLINE; Elsevier ScienceDirect Journals Complete; ProQuest Central UK/Ireland
subjects adults
Aged
antihypertensive agents
aspirin
Biological and medical sciences
biomedical research
Blood pressure
Blood Pressure - physiology
Case management
Cholesterol
Cholesterol, LDL - metabolism
chronic diseases
Diabetes
Diabetes Mellitus, Type 1 - physiopathology
Diabetes Mellitus, Type 1 - therapy
Diabetes Mellitus, Type 2 - physiopathology
Diabetes Mellitus, Type 2 - therapy
Diabetes. Impaired glucose tolerance
diastolic blood pressure
disease control
economic incentives
Education
Endocrine pancreas. Apud cells (diseases)
Endocrinopathies
Etiopathogenesis. Screening. Investigations. Target tissue resistance
Female
General aspects
Glycated Hemoglobin A - metabolism
Health care
health care workers
hemoglobin
Humans
Hypertension
Internal Medicine
Intervention
long term care
low density lipoprotein cholesterol
Male
Medical research
Medical sciences
meta-analysis
Methods
Microcirculation
Middle Aged
monitoring
patients
Quality Improvement
randomized clinical trials
Randomized Controlled Trials as Topic
relative risk
Renal function
retinal diseases
Risk management
screening
Smoking Cessation
Statistical analysis
Studies
Systematic review
systolic blood pressure
title Effectiveness of quality improvement strategies on the management of diabetes: a systematic review and meta-analysis
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