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OBJECTIVES: A rapidly expanding number of prediction models is being developed aiming to improve rheumatoid arthritis (RA) diagnosis and treatment. However, few are actually implemented in clinical practice. This study explores factors influencing the acceptance of prediction models in clinical decision-making by RA patients. METHODS: A qualitative study design was used with thematic analysis of semi-structured interviews. Purposive sampling was applied to capture a complete overview of influencing factors. The interview topic list was based on pilot data. RESULTS: Data saturation was reached after 12 interviews. Patients were generally positive about the use of prediction models in clinical decision-making. Six key themes were identified from the interviews. First, patients have the need for information on prediction models. Second, factors influencing trust in model-supported treatment are described. Third, patients envision the model to have a supportive role in clinical decision-making. Fourth, patients hope to personally benefit from model-supported treatment in various ways. Fifth, patients are willing to contribute time and effort to contribute to model input. And lastly, we discuss the theme on effects of the relationship with the caregiver in model-supported treatment. CONCLUSION: Within this study RA patients were generally positive about the use of prediction models in their treatment given some conditions were met and concerns addressed. The results of this study can be used during the development and implementation in RA care of prediction models in order to enhance patient acceptability.
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BACKGROUND: The reimbursement for expensive medicines poses a growing challenge to healthcare worldwide. In order to increase its control over the costs of medicines, the Dutch government introduced the Coverage Lock (CL) policy in 2015. The CL postpones decisions regarding reimbursement of expensive medicines until detailed advice on i.e., cost-effectiveness has been given. The CL has been in place for six years, has raised many questions and concerns, but currently, no evaluation is known to the authors. A better understanding of the effects of the CL on all stakeholders involved may contribute to reflections on the CL process and help find ways to improve it. An evaluation of Dutch policy will also be relevant for other countries that aim to optimize reimbursement procedures for expensive treatments. To perform this evaluation, we focused on the CL procedure for the medicine nusinersen. Nusinersen is the first treatment for spinal muscular atrophy (SMA). Following EMA approval in May 2017, it was placed in the CL. The analysis of cost-effectiveness and added therapeutic value resulted in an advice for reimbursement limited to children younger than 9.5 years at the start of treatment; this was implemented from August 2018 onwards. METHODS: Qualitative stakeholder perspective analysis of the CL procedure focusing on nusinersen with 15 stakeholders. RESULTS: Stakeholders raised key issues of the CL based on their experience with nusinersen: emotional impact of the CL, duration of the CL procedure, appropriateness of the CL procedure for different types of medicines, transparency of the CL, a wish for patient-centred decision-making and the lack of uniformity of access to expensive treatments. DISCUSSION: Stakeholders supported measures to control healthcare expenses and to ensure reasonable pricing. They considered the delay in access to therapies and lack of procedural transparency to be the main challenges to the CL. Stakeholders also agreed that the interests of patients deserve more attention in the practical implementation of the reimbursement decision. Stakeholders suggested a number of adjustments to improve the CL, such as a faster start with conditional reimbursement programs to ensure access and intensify European collaboration to speed up the assessment of the medicine.
