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      Development of a complex intervention to promote appropriate prescribing and medication intensification in poorly controlled type 2 diabetes mellitus in Irish general practice

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          Abstract

          Background

          Poorly controlled type 2 diabetes mellitus (T2DM) can be seen as failure to meet recommended targets for management of key risk factors including glycaemic control, blood pressure and lipids. Poor control of risk factors is associated with significant morbidity, mortality and healthcare costs. Failure to intensify medications for patients with poor control of T2DM when indicated is called clinical inertia and is one contributory factor to poor control of T2DM. We aimed to develop a theory and evidence-based complex intervention to improve appropriate prescribing and medication intensification in poorly controlled T2DM in Irish general practice.

          Methods

          The first stage of the Medical Research Council Framework for developing and evaluating complex interventions was utilised. To identify current evidence, we performed a systematic review to examine the effectiveness of interventions targeting patients with poorly controlled T2DM in community settings. The Behaviour Change Wheel theoretical approach was used to identify suitable intervention functions. Workshops, simulation, collaborations with academic partners and observation of physicians were utilised to operationalise the intervention functions and design the elements of the complex intervention.

          Results

          Our systematic review highlighted that professional-based interventions, potentially through clinical decision support systems, could address poorly controlled T2DM. Appropriate intensification of anti-glycaemic and cardiovascular medications, by general practitioners (GPs), for adults with poorly controlled T2DM was identified as the key behaviour to address clinical inertia. Psychological capability was the key driver of the behaviour, which needed to change, suggesting five key intervention functions (education, training, enablement, environmental restructuring and incentivisation) and nine key behaviour change techniques, which were operationalised into a complex intervention. The intervention has three components: (a) a training program/academic detailing of target GPs, (b) a remote finder tool to help GPs identify patients with poor control of T2DM in their practice and (c) A web-based clinical decision support system.

          Conclusions

          This paper describes a multifaceted process including an exploration of current evidence and a thorough theoretical understanding of the predictors of the behaviour resulting in the design of a complex intervention to promote the implementation of evidence-based guidelines, through appropriate prescribing and medication intensification in poorly controlled T2DM.

          Electronic supplementary material

          The online version of this article (10.1186/s13012-017-0647-z) contains supplementary material, which is available to authorized users.

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          Most cited references39

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          A Design Science Research Methodology for Information Systems Research

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

            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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              The Chronic Care Model and Diabetes Management in US Primary Care Settings: A Systematic Review

              Introduction The Chronic Care Model (CCM) uses a systematic approach to restructuring medical care to create partnerships between health systems and communities. The objective of this study was to describe how researchers have applied CCM in US primary care settings to provide care for people who have diabetes and to describe outcomes of CCM implementation. Methods We conducted a literature review by using the Cochrane database of systematic reviews, CINAHL, and Health Source: Nursing/Academic Edition and the following search terms: “chronic care model” (and) “diabet*.” We included articles published between January 1999 and October 2011. We summarized details on CCM application and health outcomes for 16 studies. Results The 16 studies included various study designs, including 9 randomized controlled trials, and settings, including academic-affiliated primary care practices and private practices. We found evidence that CCM approaches have been effective in managing diabetes in US primary care settings. Organizational leaders in health care systems initiated system-level reorganizations that improved the coordination of diabetes care. Disease registries and electronic medical records were used to establish patient-centered goals, monitor patient progress, and identify lapses in care. Primary care physicians (PCPs) were trained to deliver evidence-based care, and PCP office–based diabetes self-management education improved patient outcomes. Only 7 studies described strategies for addressing community resources and policies. Conclusion CCM is being used for diabetes care in US primary care settings, and positive outcomes have been reported. Future research on integration of CCM into primary care settings for diabetes management should measure diabetes process indicators, such as self-efficacy for disease management and clinical decision making.
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                Author and article information

                Contributors
                01 4028504 , markmurphy@rcsi.ie
                molly.byrne@nuigalway.ie
                atiehzarabzadeh@rcsi.ie
                derekcorrigan@rcsi.ie
                tomfahey@rcsi.ie
                susansmith@rcsi.ie
                Journal
                Implement Sci
                Implement Sci
                Implementation Science : IS
                BioMed Central (London )
                1748-5908
                16 September 2017
                16 September 2017
                2017
                : 12
                : 115
                Affiliations
                [1 ]ISNI 0000 0004 0488 7120, GRID grid.4912.e, HRB Centre for Primary Care Research, , Royal College of Surgeons, ; Dublin, Ireland
                [2 ]ISNI 0000 0004 0488 0789, GRID grid.6142.1, Health Behaviour Change Research Group, School of Psychology, , National University of Ireland, ; Galway, Ireland
                [3 ]ISNI 0000 0004 0575 6536, GRID grid.413895.2, HRB Centre for Primary Care Clinical Trials Network, ; Dublin, Ireland
                Article
                647
                10.1186/s13012-017-0647-z
                5602930
                28915897
                7dc2ab85-a7dc-41f0-a414-cebdda7d0925
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 15 February 2017
                : 11 September 2017
                Funding
                Funded by: HRB Centre for Primary Care Research
                Award ID: HRC-2014-1.
                Award Recipient :
                Funded by: HRB-funded SPHeRE PhD Programme
                Award ID: Grant code: 1598
                Award Recipient :
                Funded by: Irish College of General Practitioners Research Grant
                Award ID: NA
                Award Recipient :
                Funded by: HRB Primary Care Clinical Trials Network Ireland
                Award ID: CTN-2014-011
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2017

                Medicine
                quality improvement,behaviour change wheel,appropriate prescribing,health services research,general practice,professional intervention,implementation,type 2 diabetes mellitus

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