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      Computerized clinical decision support system for diabetes in primary care does not improve quality of care: a cluster-randomized controlled trial

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          Abstract

          Background

          The EBMeDS system is the computerized clinical decision support (CCDS) system of EBPNet, a national computerized point-of-care information service in Belgium. There is no clear evidence of more complex CCDS systems to manage chronic diseases in primary care practices (PCPs). The objective of this study was to assess the effectiveness of EBMeDS use in improving diabetes care.

          Methods

          A cluster-randomized trial with before-and-after measurements was performed in Belgian PCPs over 1 year, from May 2017 to May 2018. We randomly assigned 51 practices to either the intervention group (IG), to receive the EBMeDS system, or to the control group (CG), to receive usual care. Primary and secondary outcomes were the 1-year pre- to post-implementation change in HbA1c, LDL cholesterol, and systolic and diastolic blood pressure. Composite patient and process scores were calculated. A process evaluation was added to the analysis. Results were analyzed at 6 and 12 months. Linear mixed models and logistic regression models based on generalized estimating equations were used where appropriate.

          Results

          Of the 51 PCPs that were enrolled and randomly assigned (26 PCPs in the CG and 25 in the IG), 29 practices (3815 patients) were analyzed in the study: 2464 patients in the CG and 1351 patients in the IG. No change differences existed between groups in primary or secondary outcomes. Change difference between CG and IG after 1-year follow-up was − 0.09 (95% CI − 0.18; 0.01, p-value = 0.06) for HbA1c; 1.76 (95% CI − 0.46; 3.98, p-value = 0.12) for LDL cholesterol; and 0.13 (95% CI − 0.91; 1.16, p-value = 0.81) and 0.12 (95% CI − 1.25;1.49, p-value = 0.86) for systolic and diastolic blood pressure respectively. The odds ratio of the IG versus the CG for the probability of no worsening and improvement was 1.09 (95% CI 0.73; 1.63, p-value = 0.67) for the process composite score and 0.74 (95% CI 0.49; 1.12, p-value = 0.16) for the composite patient score. All but one physician was satisfied with the EBMeDS system.

          Conclusions

          The CCDS system EBMeDS did not improve diabetes care in Belgian primary care. The lack of improvement was mainly caused by imperfections in the organizational context of Belgian primary care for chronic disease management and shortcomings in the system requirements for the correct use of the EBMeDS system (e.g., complete structured records). These shortcomings probably caused low-use rates of the system.

          Trial registration

          ClinicalTrials.gov, NCT01830569, Registered 12 April 2013.

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          Most cited references32

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          Evidence on the Chronic Care Model in the new millennium.

          Developed more than a decade ago, the Chronic Care Model (CCM) is a widely adopted approach to improving ambulatory care that has guided clinical quality initiatives in the United States and around the world. We examine the evidence of the CCM's effectiveness by reviewing articles published since 2000 that used one of five key CCM papers as a reference. Accumulated evidence appears to support the CCM as an integrated framework to guide practice redesign. Although work remains to be done in areas such as cost-effectiveness, these studies suggest that redesigning care using the CCM leads to improved patient care and better health outcomes.
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            Consort 2010 statement: extension to cluster randomised trials.

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              Effect of mobile phone intervention for diabetes on glycaemic control: a meta-analysis.

                To assess the effect of mobile phone intervention on glycaemic control in diabetes self-management. We searched three electronic databases (PubMed, EMBASE and Cochrane Library) using the following terms: diabetes or diabetes mellitus and mobile phone or cellular phone, or text message. We also manually searched reference lists of relevant papers to identify additional studies. Clinical studies that used mobile phone intervention and reported changes in glycosylated haemoglobin (HbA(1c) ) values in patients with diabetes were reviewed. The study design, intervention methods, sample size and clinical outcomes were extracted from each trial. The results of the HbA(1c) change in the trials were pooled using meta-analysis methods.   A total of 22 trials were selected for the review. Meta-analysis among 1657 participants showed that mobile phone interventions for diabetes self-management reduced HbA(1c) values by a mean of 0.5% [6 mmol/mol; 95% confidence interval, 0.3-0.7% (4-8 mmol/mol)] over a median of 6 months follow-up duration. In subgroup analysis, 11 studies among Type 2 diabetes patients reported significantly greater reduction in HbA(1c) than studies among Type 1 diabetes patients [0.8 (9 mmol/mol) vs. 0.3% (3 mmol/mol); P=0.02]. The effect of mobile phone intervention did not significantly differ by other participant characteristics or intervention strategies.   Results pooled from the included trials provided strong evidence that mobile phone intervention led to statistically significant improvement in glycaemic control and self-management in diabetes care, especially for Type 2 diabetes patients. © 2011 The Authors. Diabetic Medicine © 2011 Diabetes UK.
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                Author and article information

                Contributors
                Annemie.Heselmans@kuleuven.be
                Nicolas.Delvaux@kuleuven.be
                Annouschka.laenen@kuleuven.be
                Stijn.vandevelde@fhi.no
                Dirk.Ramaekers@kuleuven.be
                Ilkka.Kunnamo@duodecim.fi
                Bert.Aertgeerts@kuleuven.be
                Journal
                Implement Sci
                Implement Sci
                Implementation Science : IS
                BioMed Central (London )
                1748-5908
                7 January 2020
                7 January 2020
                2020
                : 15
                : 5
                Affiliations
                [1 ]ISNI 0000 0001 0668 7884, GRID grid.5596.f, Department of Public Health and Primary Care, , KU Leuven, ; Kapucijnenvoer 33 blok j, 3000 Leuven, Belgium
                [2 ]ISNI 0000 0001 1541 4204, GRID grid.418193.6, Centre for Informed Health Choices, Division for Health Services, , Norwegian Institute of Public Health, ; PO Box 222, Skøyen, 0213 Oslo, Norway
                [3 ]ISNI 0000 0001 0668 7884, GRID grid.5596.f, Leuven Institute for Healthcare Policy, KU Leuven, ; Kapucijnenvoer 35 blok d, 3000 Leuven, Belgium
                [4 ]ISNI 0000 0001 0693 4013, GRID grid.483796.7, Duodecim, Scientific Society of Finnish Physicians, ; PO Box 874, Kaivokatu 10, 00101 Helsinki, Finland
                Author information
                http://orcid.org/0000-0002-1686-8168
                Article
                955
                10.1186/s13012-019-0955-6
                6947861
                31910877
                44aa88c4-4c2a-4bf7-bba9-82ccf0088b5b
                © The Author(s). 2020

                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
                : 17 July 2019
                : 27 November 2019
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Medicine
                decision support systems, clinical,electronic health records,reminder systems,diabetes mellitus,primary health care,randomized controlled trial

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