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      Patient Decision Aid (PDA) for Patients with Rheumatoid Arthritis Reduces Decisional Conflict and Improves Readiness for Treatment Decision Making

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          Abstract

          Objectives

          The aim of this study was to develop and assess the effectiveness of a patient decision aid (PDA) to support treatment decision making in Spanish patients with moderate-to-severe rheumatoid arthritis (RA) who fail to achieve the therapeutic goal with the current disease-modifying antirheumatic treatment strategy.

          Methods

          The PDA was developed in accordance with the International Patient Decision Aids Standards recommendations. A steering group led the project. Three literature reviews and two focus groups were performed to develop the PDA prototype. To check its comprehensibility, acceptability, and feasibility, alpha-testing was performed using the Decision Support Acceptability Scale (DSAS). Beta-testing was conducted to assess preliminary evidence of PDA efficacy using the Decisional Conflict Scale (DCS) before and after PDA use. Readiness was evaluated using the Preparation for Decision Making Scale (PDMS).

          Results

          The PDA included (1) a brief description of RA, (2) treatment information, and (3) a values clarification section. Alpha-testing revealed that most patients considered that the information was presented in a good or excellent way and it could help clarify their values and facilitate treatment decision making. Most rheumatologists agreed that the PDA was easy to understand, to use, and allowed them to reach a shared decision. Beta-testing showed that PDA significantly reduced overall patients’ decisional conflict [33.2 (DE: 21.4) vs 24.6 (23.5); p < 0.001] and prepared the patient for decision making [PDMS: 67.5 (21.0)].

          Conclusions

          We developed a PDA for Spanish patients with moderate-to-severe RA that reduces patients’ decisional conflict and increases their readiness for decision making. The use of this PDA in routine clinical practice may improve the quality of the decision-making process and the quality of the choices made.

          Electronic supplementary material

          The online version of this article (10.1007/s40271-019-00381-y) contains supplementary material, which is available to authorized users.

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          Most cited references15

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          Assessing the Quality of Decision Support Technologies Using the International Patient Decision Aid Standards instrument (IPDASi)

          Objectives To describe the development, validation and inter-rater reliability of an instrument to measure the quality of patient decision support technologies (decision aids). Design Scale development study, involving construct, item and scale development, validation and reliability testing. Setting There has been increasing use of decision support technologies – adjuncts to the discussions clinicians have with patients about difficult decisions. A global interest in developing these interventions exists among both for-profit and not-for-profit organisations. It is therefore essential to have internationally accepted standards to assess the quality of their development, process, content, potential bias and method of field testing and evaluation. Methods Scale development study, involving construct, item and scale development, validation and reliability testing. Participants Twenty-five researcher-members of the International Patient Decision Aid Standards Collaboration worked together to develop the instrument (IPDASi). In the fourth Stage (reliability study), eight raters assessed thirty randomly selected decision support technologies. Results IPDASi measures quality in 10 dimensions, using 47 items, and provides an overall quality score (scaled from 0 to 100) for each intervention. Overall IPDASi scores ranged from 33 to 82 across the decision support technologies sampled (n = 30), enabling discrimination. The inter-rater intraclass correlation for the overall quality score was 0.80. Correlations of dimension scores with the overall score were all positive (0.31 to 0.68). Cronbach's alpha values for the 8 raters ranged from 0.72 to 0.93. Cronbach's alphas based on the dimension means ranged from 0.50 to 0.81, indicating that the dimensions, although well correlated, measure different aspects of decision support technology quality. A short version (19 items) was also developed that had very similar mean scores to IPDASi and high correlation between short score and overall score 0.87 (CI 0.79 to 0.92). Conclusions This work demonstrates that IPDASi has the ability to assess the quality of decision support technologies. The existing IPDASi provides an assessment of the quality of a DST's components and will be used as a tool to provide formative advice to DSTs developers and summative assessments for those who want to compare their tools against an existing benchmark.
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            Rheumatoid arthritis therapy reappraisal: strategies, opportunities and challenges.

            Rheumatoid arthritis (RA) is considered a chronic disease that cannot be cured. Biologic agents have enabled good therapeutic successes; however, the response to biologic therapy depends on treatment history and, especially, disease duration. In general, the more drug-experienced the patients, the lower the response rates, although this limitation can be overcome by promptly adjusting or switching treatment in a treat-to-target approach. Another challenge is the question of how long therapy should be continued once the treatment target, which should be remission or at least a state of low disease activity, has been reached. The data available suggest that, in most patients with established disease, cessation of biologic therapy will be followed by disease flares, whereas a reduction of dose or an increase in the interval between doses enables maintenance of treatment success. Induction therapy very early in the disease course followed by withdrawal of the biologic agent might also be a feasible approach to attain sustained good outcomes, but currently available data are not strong enough to allow for such a conclusion to be reached. Taken together, this underscores the importance of research into the cause(s) of RA so that curative therapies can be developed.
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              Clarifying values: an updated review

              Background Consensus guidelines have recommended that decision aids include a process for helping patients clarify their values. We sought to examine the theoretical and empirical evidence related to the use of values clarification methods in patient decision aids. Methods Building on the International Patient Decision Aid Standards (IPDAS) Collaboration’s 2005 review of values clarification methods in decision aids, we convened a multi-disciplinary expert group to examine key definitions, decision-making process theories, and empirical evidence about the effects of values clarification methods in decision aids. To summarize the current state of theory and evidence about the role of values clarification methods in decision aids, we undertook a process of evidence review and summary. Results Values clarification methods (VCMs) are best defined as methods to help patients think about the desirability of options or attributes of options within a specific decision context, in order to identify which option he/she prefers. Several decision making process theories were identified that can inform the design of values clarification methods, but no single “best” practice for how such methods should be constructed was determined. Our evidence review found that existing VCMs were used for a variety of different decisions, rarely referenced underlying theory for their design, but generally were well described in regard to their development process. Listing the pros and cons of a decision was the most common method used. The 13 trials that compared decision support with or without VCMs reached mixed results: some found that VCMs improved some decision-making processes, while others found no effect. Conclusions Values clarification methods may improve decision-making processes and potentially more distal outcomes. However, the small number of evaluations of VCMs and, where evaluations exist, the heterogeneity in outcome measures makes it difficult to determine their overall effectiveness or the specific characteristics that increase effectiveness.
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                Author and article information

                Contributors
                lizan@outcomes10.com
                Journal
                Patient
                Patient
                The Patient
                Springer International Publishing (Cham )
                1178-1653
                1178-1661
                14 August 2019
                14 August 2019
                2020
                : 13
                : 1
                : 57-69
                Affiliations
                [1 ]GRID grid.144756.5, ISNI 0000 0001 1945 5329, Rheumatology Department, , Hospital 12 de Octubre, ; Madrid, Spain
                [2 ]GRID grid.411068.a, ISNI 0000 0001 0671 5785, Rheumatology Department, , Hospital Clínico San Carlos, ; Madrid, Spain
                [3 ]GRID grid.84393.35, ISNI 0000 0001 0360 9602, Rheumatology Department, , Hospital Universitari i Politècnic La Fe, ; Valencia, Spain
                [4 ]GRID grid.476461.6, Medical Department, , Lilly, ; Madrid, Spain
                [5 ]Outcomes’10, Castellón de la Plana, Spain
                [6 ]GRID grid.9612.c, ISNI 0000 0001 1957 9153, Medicine Department, , Jaume I University, ; Castellón de la Plana, Spain
                Article
                381
                10.1007/s40271-019-00381-y
                6957559
                31410723
                c8601408-59a3-48de-aaaf-4c3c9d98c476
                © The Author(s) 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial 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.

                History
                Funding
                Funded by: Eli Lilly and Company (Spain)
                Categories
                Original Research Article
                Custom metadata
                © Springer Nature Switzerland AG 2020

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