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Title: | Improvement of osteoporosis Care Organized by Nurses: ICON study - Protocol of a quasi-experimental study to assess the (cost)-efectiveness of combining a decision aid with motivational interviewing for improving medication persistence in patients with a recent fracture being treated at the fracture liaison service | Authors: | Cornelissen, Dennis Boonen, Annelies Evers, Silvia VAN DEN BERGH, Joop Bours, Sandrine Wyers, Caroline E. van Kuijk, Sander van Oostwaard, Marsha van der Weijden, Trudy Hiligsmann, Mickael |
Issue Date: | 2021 | Publisher: | BMC | Source: | BMC musculoskeletal disorders (Online), 22 (1) (Art N° 913) | Abstract: | Background Given the health and economic burden of fractures related to osteoporosis, suboptimal adherence to medication and the increasing importance of shared-decision making, the Improvement of osteoporosis Care Organized by Nurses (ICON) study was designed to evaluate the effectiveness, cost-effectiveness and feasibility of a multi-component adherence intervention (MCAI) for patients with an indication for treatment with anti-osteoporosis medication, following assessment at the Fracture Liaison Service after a recent fracture. The MCAI involves two consultations at the FLS. During the first consultation, a decision aid is will be used to involve patients in the decision of whether to start anti-osteoporosis medication. During the follow-up visit, the nurse inquires about, and stimulates, medication adherence using motivational interviewing techniques. Methods A quasi-experimental trial to evaluate the (cost-) effectiveness and feasibility of an MCAI, consisting of a decision aid (DA) at the first visit, combined with nurse-led adherence support using motivational interviewing during the follow-up visit, in comparison with care as usual, in improving adherence to oral anti-osteoporosis medication for patients with a recent fracture two Dutch FLS. Medication persistence, defined as the proportion of patients who are persistent at one year assuming a refill gap < 30 days, is the primary outcome. Medication adherence, decision quality, subsequent fractures and mortality are the secondary outcomes. A lifetime cost-effectiveness analysis using a model-based economic evaluation and a process evaluation will also be conducted. A sample size of 248 patients is required to show an improvement in the primary outcome with 20%. Study follow-up is at 12 months, with measurements at baseline, after four months, and at 12 months. Discussion We expect that the ICON-study will show that the MCAI is a (cost-)effective intervention for improving persistence with anti-osteoporosis medication and that it is feasible for implementation at the FLS. | Notes: | Cornelissen, D (corresponding author), Maastricht Univ, Care & Publ Hlth Res Inst CAPHRI, Dept Hlth Serv Res, POB 616, NL-6200 MD Maastricht, Netherlands. d.cornelissen@maastrichtuniversity.nl |
Document URI: | http://hdl.handle.net/1942/36039 | ISSN: | 1471-2474 | e-ISSN: | 1471-2474 | DOI: | 10.1186/s12891-021-04743-2 | ISI #: | WOS:000712823300002 | Rights: | The Author(s) 2021. 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://creativeco mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2022 |
Appears in Collections: | Research publications |
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improvement.pdf | Published version | 2.05 MB | Adobe PDF | View/Open |
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