HOW DO GLAUCOMA PATIENTS ASSESS DIFFERENT ASPECTS OF THEIR TREATMENT- AN ELICITATION OF PATIENTS' PREFERENCES USING THE ANALYTIC HIERARCHY PROCESS

Author(s)

Dintsios CM1, Scheibler FF2, Janssen I2, Gerber A3, Chernyak N4, Finger R51German Association of Research-based Pharmaceutical Companies (vfa), Berlin, Germany, 2IQWiG, Cologne, Germany, 3Institute of Quality and Efficiency in Health Care (IQWiG), Köln, Germany, 4Heinrich-Heine University Düsseldorf, Düsseldorf, Germany, 5University of Bonn, Bonn, Germany

OBJECTIVES: Patient-relevant endpoints play an important role in Health Technology Assessment (HTA). There is a need to prioritize these endpoints according to patients’ preferences. Our aim was to investigate how glaucoma patients prioritize different aspects of their treatment including patient-relevant endpoints. METHODS: The study included a feasibility test and the completion of a specific questionnaire at the ophthalmology clinic of Bonn. Patients rated the importance of different aspects of glaucoma treatment by a pairwise comparison. Relative weights were generated for each aspect by Analytic Hierarchy Process (AHP), a multi-criteria decision analysis method using matrix algebra. . Additionally the EQ-5D was applied to stratify the patients into subgroups according to their stated utility. RESULTS: The AHP yielded the following results (Weight, Mean, SD, CI) by downwards order: 1. Autonomy (0.394, 0.371 ± 0.145, 0.311 - 0.431), subdivided in household chores (0.239, 0.275 ± 0.258, 0.168 - 0.381) and outdoor mobility (0.761, 0.725 ± 0.258, 0.619 - 0.832). 2. Reading and seeing details (0.229, 0.212 ± 0.123, 0.161 - 0.263). 3. Darkness and glare (0.153, 0.165 ± 0.111, 0.119 - 0.211).  4. Peripheral vision (0.089, 0.085 ± 0.058, 0.061 - 0.109). 5. Side effects (0.088, 0.115 ± 0.131, 0.060 - 0.168), and 6. Treatment-related burden (0.047, 0.052 ± 0.06, 0.027 - 0.076). The observed inconsistency reached a consistency ratio of 0.04 and did not exceed the limit of 0.1. Subgroup analyses according to the EQ-5D stratification showed adaptation effects and loss aversion. CONCLUSIONS: AHP can be used in HTA to give a quantitative dimension to patients’ preferences for treatment aspects. Preference elicitation could provide important information at various stages of HTA and challenge opinions on the importance of treatment aspects or endpoints.

Conference/Value in Health Info

2012-11, ISPOR Europe 2012, Berlin, Germany

Value in Health, Vol. 15, No. 7 (November 2012)

Code

PSS24

Topic

Patient-Centered Research

Topic Subcategory

Stated Preference & Patient Satisfaction

Disease

Sensory System Disorders

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