Literature DB >> 32762986

Heterogeneous Patient Preferences for Modern Antiretroviral Therapy: Results of a Discrete Choice Experiment.

Jan Ostermann1, Axel Mühlbacher2, Derek S Brown3, Dean A Regier4, Amy Hobbie5, Andrew Weinhold5, Noor Alshareef1, Caroline Derrick6, Nathan M Thielman7.   

Abstract

OBJECTIVE: Limited data describe patient preferences for the growing number of antiretroviral therapies (ARTs). We quantified preferences for key characteristics of modern ART deemed relevant to shared decision making.
METHODS: A discrete choice experiment survey elicited preferences for ART characteristics, including dosing (frequency and number of pills), administration characteristics (pill size and meal requirement), most bothersome side effect (from diarrhea, sleep disturbance, headaches, dizziness/difficulty thinking, depression, or jaundice), and most bothersome long-term effect (from increased risk of heart attacks, bone fractures, renal dysfunction, hypercholesterolemia, or hyperglycemia). Between March and August 2017, the discrete choice experiment was fielded to 403 treatment-experienced persons living with human immunodeficiency virus (HIV), enrolled from 2 infectious diseases clinics in the southern United States and a national online panel. Participants completed 16 choice tasks, each comparing 3 treatment options. Preferences were analyzed using mixed and latent class logit models.
RESULTS: Most participants were male (68%) and older (interquartile range: 42-58 years), and had substantial treatment experience (interquartile range: 7-21 years). In mixed logit analyses, all attributes were associated with preferences. Side and long-term effects were most important, with evidence of substantial preference heterogeneity. Latent class analysis identified 5 preference classes. For classes 1 (40%), 2 (24%), and 3 (21%), side effects were most important, followed by long-term effects. For class 4 (10%), dosing was most important. Class 5 (4%) was largely indifferent to ART characteristics.
CONCLUSION: Overall, treatment-experienced persons living with HIV valued minimizing side effects and long-term toxicities over dosing and administration characteristics. Preferences varied widely, highlighting the need to elicit individual patient preferences in models of shared antiretroviral decision making.
Copyright © 2020 ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  HIV; antiretroviral therapy; discrete choice experiment; latent class analysis; patient preferences; shared decision making

Mesh:

Substances:

Year:  2020        PMID: 32762986     DOI: 10.1016/j.jval.2020.03.007

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  5 in total

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Authors:  Zhen-Yu Zhang; Yu-Ling Yu; Kei Asayama; Tine W Hansen; Gladys E Maestre; Jan A Staessen
Journal:  Hypertension       Date:  2021-02-10       Impact factor: 10.190

2.  Physicians' preferences and willingness to pay for artificial intelligence-based assistance tools: a discrete choice experiment among german radiologists.

Authors:  Philip von Wedel; Christian Hagist
Journal:  BMC Health Serv Res       Date:  2022-03-26       Impact factor: 2.655

3.  What factors influence HIV testing? Modeling preference heterogeneity using latent classes and class-independent random effects.

Authors:  Jan Ostermann; Brian P Flaherty; Derek S Brown; Bernard Njau; Amy M Hobbie; Tara B Mtuy; Max Masnick; Axel C Mühlbacher; Nathan M Thielman
Journal:  J Choice Model       Date:  2021-07-11

4.  What drives the acceptability of restrictive health policies: An experimental assessment of individual preferences for anti-COVID 19 strategies.

Authors:  Thierry Blayac; Dimitri Dubois; Sébastien Duchêne; Phu Nguyen-Van; Bruno Ventelou; Marc Willinger
Journal:  Econ Model       Date:  2022-09-14

5.  Using discrete choice experiments to design interventions for heterogeneous preferences: protocol for a pragmatic randomised controlled trial of a preference-informed, heterogeneity-focused, HIV testing offer for high-risk populations.

Authors:  Jan Ostermann; Bernard Njau; Amy Hobbie; Tara Mtuy; Martha L Masaki; Aisa Shayo; Marco van Zwetselaar; Max Masnick; Brian Flaherty; Derek S Brown; Axel C Mühlbacher; Nathan M Thielman
Journal:  BMJ Open       Date:  2020-11-06       Impact factor: 2.692

  5 in total

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