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      Effects of a multicomponent communication training to involve older people in decisions to DEPRESCRIBE cardiometabolic medication in primary care (CO-DEPRESCRIBE): protocol for a cluster randomized controlled trial with embedded process and economic evaluation

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          Abstract

          Background

          Deprescribing of medication for cardiovascular risk factors and diabetes has been incorporated in clinical guidelines but proves to be difficult to implement in primary care. Training of healthcare providers is needed to enhance deprescribing in eligible patients. This study will examine the effects of a blended training program aimed at initiating and conducting constructive deprescribing consultations with patients.

          Methods

          A cluster-randomized trial will be conducted in which local pharmacy-general practice teams in the Netherlands will be randomized to conducting clinical medication reviews with patients as usual (control) or after receiving the CO-DEPRESCRIBE training program (intervention). People of 75 years and older using specific cardiometabolic medication (diabetes drugs, antihypertensives, statins) and eligible for a medication review will be included. The CO-DEPRESCRIBE intervention is based on previous work and applies models for patient-centered communication and shared decision making. It consists of 5 training modules with supportive tools. The primary outcome is the percentage of patients with at least 1 cardiometabolic medication deintensified. Secondary outcomes include patient involvement in decision making, healthcare provider communication skills, health/medication-related outcomes, attitudes towards deprescribing, medication regimen complexity and health-related quality of life. Additional safety and cost parameters will be collected. It is estimated that 167 patients per study arm are needed in the final intention-to-treat analysis using a mixed effects model. Taking loss to follow-up into account, 40 teams are asked to recruit 10 patients each. A baseline and 6-months follow-up assessment, a process evaluation, and a cost-effectiveness analysis will be conducted.

          Discussion

          The hypothesis is that the training program will lead to more proactive and patient-centered deprescribing of cardiometabolic medication. By a comprehensive evaluation, an increase in knowledge needed for sustainable implementation of deprescribing in primary care is expected.

          Trial registration

          The study is registered at ClinicalTrials.gov (identifier: NCT05507177).

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12875-024-02465-7.

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          Most cited references67

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L)

            Purpose This article introduces the new 5-level EQ-5D (EQ-5D-5L) health status measure. Methods EQ-5D currently measures health using three levels of severity in five dimensions. A EuroQol Group task force was established to find ways of improving the instrument’s sensitivity and reducing ceiling effects by increasing the number of severity levels. The study was performed in the United Kingdom and Spain. Severity labels for 5 levels in each dimension were identified using response scaling. Focus groups were used to investigate the face and content validity of the new versions, including hypothetical health states generated from those versions. Results Selecting labels at approximately the 25th, 50th, and 75th centiles produced two alternative 5-level versions. Focus group work showed a slight preference for the wording ‘slight-moderate-severe’ problems, with anchors of ‘no problems’ and ‘unable to do’ in the EQ-5D functional dimensions. Similar wording was used in the Pain/Discomfort and Anxiety/Depression dimensions. Hypothetical health states were well understood though participants stressed the need for the internal coherence of health states. Conclusions A 5-level version of the EQ-5D has been developed by the EuroQol Group. Further testing is required to determine whether the new version improves sensitivity and reduces ceiling effects.
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              RE-AIM Planning and Evaluation Framework: Adapting to New Science and Practice With a 20-Year Review

              The RE-AIM planning and evaluation framework was conceptualized two decades ago. As one of the most frequently applied implementation frameworks, RE-AIM has now been cited in over 2,800 publications. This paper describes the application and evolution of RE-AIM as well as lessons learned from its use. RE-AIM has been applied most often in public health and health behavior change research, but increasingly in more diverse content areas and within clinical, community, and corporate settings. We discuss challenges of using RE-AIM while encouraging a more pragmatic use of key dimensions rather than comprehensive applications of all elements. Current foci of RE-AIM include increasing the emphasis on cost and adaptations to programs and expanding the use of qualitative methods to understand “how” and “why” results came about. The framework will continue to evolve to focus on contextual and explanatory factors related to RE-AIM outcomes, package RE-AIM for use by non-researchers, and integrate RE-AIM with other pragmatic and reporting frameworks.
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                Author and article information

                Contributors
                p.denig@umcg.nl
                Journal
                BMC Prim Care
                BMC Prim Care
                BMC Primary Care
                BioMed Central (London )
                2731-4553
                11 June 2024
                11 June 2024
                2024
                : 25
                : 210
                Affiliations
                [1 ]GRID grid.4494.d, ISNI 0000 0000 9558 4598, Department of Clinical Pharmacy and Pharmacology, , University of Groningen, University Medical Centre Groningen, ; PO-Box 30001, HPC AP50, UMCG, Groningen, 9700RB The Netherlands
                [2 ]SIR Institute for Pharmacy Practice and Policy, ( https://ror.org/04prjvw86) Leiden, The Netherlands
                [3 ]Nivel, Netherlands Institute for Health Services Research, ( https://ror.org/015xq7480) Utrecht, The Netherlands
                [4 ]Unit of PharmacoTherapy, - Epidemiology and -Economics, Groningen Research Institute of Pharmacy, University of Groningen, ( https://ror.org/012p63287) Groningen, The Netherlands
                [5 ]Department of Family Medicine, School CAPHRI, Maastricht University, ( https://ror.org/02jz4aj89) Maastricht, The Netherlands
                [6 ]Dutch College of General Practitioners, ( https://ror.org/04x1grb60) Utrecht, The Netherlands
                [7 ]GRID grid.31147.30, ISNI 0000 0001 2208 0118, Dutch National Institute of Public Health and the Environment (RIVM), ; Bilthoven, The Netherlands
                Article
                2465
                10.1186/s12875-024-02465-7
                11165805
                38862899
                8b91cf63-b98f-4daf-af67-c9e35bfde1bc
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

                History
                : 23 April 2024
                : 3 June 2024
                Categories
                Study Protocol
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                deprescribing,shared decision making,patient-centered care,primary care,barriers- facilitators,provider-patient communication

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