The VALUE of Patient Preference Studies in Health Technology Assessments in Europe

Author(s)

Young KE, Guillaume X, Bonnelye G
Kantar, Paris, France

Presentation Documents

OBJECTIVES

:
Due to the lack of guidance on how to optimize evidence demonstration and systematically incorporate quantitative patient preference studies in HTA, the study aimed to investigate how patient preference data may be supplied, its relevance in HTA, and how it has been valued in UK, France and Germany.

METHODS : Secondary desk research including HTA websites, peer reviewed articles, and grey literature was done. Three case studies were identified with the aim of identifying differences in the type and use of patient preference data, how preference data is developed, and for which purpose across indications.

RESULTS

:
The three case studies covered oncology, rare metabolic, and infectious disease indications. In all cases, patient preference studies were incorporated in phase 3 trials and qualitative methods were used by means of treatment preference or satisfaction questionnaires. The attributes assessed included efficacy, side effects, mode of administration, convenience, and overall satisfaction. All patient preference data supported the primary or secondary endpoints, and QoL data. In the HTA reports, patient preference data were not assessed to replace neither clinical nor economic evidence. In contrary, it provided complementary insight on the relevance of the clinical outcomes in the daily life of a patient who suffers from the disease.

CONCLUSIONS : The relevance of patient preference data may rest on its purpose in how it supports the overall value proposition and the evidence base of the treatment that is relevant to the patient. Through providing complementary data that only patient insight can provide, it may help HTA committees in evaluating and deliberating the clinical and economic evidence in reimbursement decision making. Manufacturers should not delay the preference of patients until after launch. Planning and implementation should happen as early as Phase 2-3, with appropriate and robust methodologies for measuring and linking data to validated clinical and economic outcomes.

Conference/Value in Health Info

2020-11, ISPOR Europe 2020, Milan, Italy

Value in Health, Volume 23, Issue S2 (December 2020)

Code

PMU93

Topic

Health Technology Assessment, Patient-Centered Research

Topic Subcategory

Decision & Deliberative Processes, Stated Preference & Patient Satisfaction, Value Frameworks & Dossier Format

Disease

Infectious Disease (non-vaccine), Oncology, Rare and Orphan Diseases

Your browser is out-of-date

ISPOR recommends that you update your browser for more security, speed and the best experience on ispor.org. Update my browser now

×