Determining patient value profiles in psoriasis.

Abstract

Healthcare professionals (HCPs) should strive to create the maximum value for their patients in which value is defined as the patient-relevant health outcomes achieved per costs made. However, currently it remains difficult to determine which outcomes matter to an individual psoriasis patient. To define outcome profiles, or so called 'patient value profiles', within a cohort of psoriasis patients that can be translated to daily practice to increase value for the individual patient. Hierarchical clustering on principal components (HCPC) was used to identify groups of patients sharing the same profile within an outcome ranking exercise. Once the clusters were defined, their characterization was provided based on a V-test. In a final step, a multi-class decision tree (MDT) based on relevant socio-demographic and clinical variables was built to allocate patients to a cluster. In the ranking exercise 120 patients participated. The median age was 50.0 (IQR 25.0) years and 36.7% were female. Median PASI score was 2.4 (IQR 5.2) and median duration of psoriasis was 17.0 (IQR 20.0) years. Primary treatment varied from topicals to biologicals. We found three distinct patient value profiles in this cohort (QoL, cost and treatment). A MDT was built which had an accuracy of 64%. We found three distinct patient value profiles in a cohort of psoriasis patients and patients can be easily assigned to one of these profiles based on a MDT. HCPs can use these profiles to steer psoriasis management accordingly allowing for a more goal-orientated approach.