Patient and Public Preferences for Treatment Attributes in Parkinson’s Disease

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Abstract

Background
Patient and public preferences for therapeutic outcomes or medical technologies are often elicited, and discordance between the two is frequently reported.

Objective
Our main objective was to compare patient and public preferences for treatment attributes in Parkinson’s disease (PD).

Methods
A representative sample from Dutch PD patients and the general public were invited to complete a best–worst scaling case 2 experiment consisting of six health-related outcomes and one attribute describing the specific treatment (brain surgery, pump, oral medication). Data were analyzed using mixed logit models, and attribute impact was estimated and compared between populations (and population subgroups).

Results
Both the public (N = 276) and patient (N = 198) populations considered treatment modality the most important attribute, although patients assigned higher relative importance. Both groups assigned high disutility to pump infusion and brain surgery and preferred drug treatment. Most health outcomes were valued equally by patients and the public, with the exception of reducing dizziness (more important to the public) and improving slow movement (more important to patients).

Discussion
Although these data do not support definite conclusions on whether patients are less likely to undergo invasive treatments, the (predicted) choice probability of undergoing brain surgery or having pump infusion technology would be low based on the (un)desirability of the attribute levels. Patients with PD might have adapted to their condition and are not willing to undergo advanced treatments in order to receive health improvements. Both public and patient preferences entail information that is potentially relevant for decision makers, and patient preferences can inform decision makers about the likelihood of adaptation to a specific condition.
Original languageEnglish
Pages (from-to)763-772
JournalThe Patient
Volume10
Issue number6
DOIs
Publication statusPublished - Dec 2017

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