2020
DOI: 10.1016/j.healthpol.2020.07.007
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An overview of critical decision-points in the medical product lifecycle: Where to include patient preference information in the decision-making process?

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Cited by 29 publications
(34 citation statements)
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“…Techniques such as multiple criteria decision analysis (MCDA) and discrete choice experiments (DCEs) can elicit patient and stakeholder preferences to help establish the societal value of the product [ 46 ]. Furthermore, the preferences can be incorporated during technology development [ 53 ] and there is consensus from the industry, regulatory authorities, and HTA bodies to do so [ 54 ]. Thus, we encourage future go/no-go recommendations to also include patient elicitation methods and not just clinical and economic factors, such as cost effectiveness.…”
Section: Discussionmentioning
confidence: 99%
“…Techniques such as multiple criteria decision analysis (MCDA) and discrete choice experiments (DCEs) can elicit patient and stakeholder preferences to help establish the societal value of the product [ 46 ]. Furthermore, the preferences can be incorporated during technology development [ 53 ] and there is consensus from the industry, regulatory authorities, and HTA bodies to do so [ 54 ]. Thus, we encourage future go/no-go recommendations to also include patient elicitation methods and not just clinical and economic factors, such as cost effectiveness.…”
Section: Discussionmentioning
confidence: 99%
“…With this background and these especially sensitive patients it seems adequate to evaluate the factors that might have an influence and that are relevant for the different stakeholders involved in the decision-making process, from a holistic perspective. Currently the incorporation of patient preferences and the patients’ perspective is a discussion point and decision-making processes are moving forward to the implementation of this approaches [ 22 ]. Multicriteria Decision Analysis (MCDA) through the EVIDEM framework, enables the inclusion of a comprehensive group of criteria that are relevant for establishing the value of the intervention in a specific health system in an explicit, replicable, and systematic way.…”
Section: Introductionmentioning
confidence: 99%
“…Since this implant may possibly be an addition to the current treatment landscape within the field of MS, it is expected that patients will face tough trade-offs concerning the new mode of administration, which makes it an interesting area for research into patient preferences. Furthermore, patient preference information can inform about the (unmet) needs of patients, guide the product development, cost-effectiveness analysis and market authorisation (10)(11)(12). As such, the implant can be tailored to the needs of the patient, which may enhance patient satisfaction, lead to better health and more efficient healthcare systems (13).…”
Section: Introductionmentioning
confidence: 99%