Literature DB >> 34321870

Understanding Treatment Preferences of Australian Patients Living with Treatment-Resistant Depression.

Simon Fifer1, Andrea Puig2, Vanessa Sequeira3, Mustafa Acar2, Chee H Ng4, Michelle Blanchard5, Ariana Cabrera6, James Freemantle7, Jennifer Grunfeld8.   

Abstract

BACKGROUND: There is evidence of improved adherence and treatment outcomes when patients' treatment preferences are considered, and shared decision making is utilized.
PURPOSE: We aimed to better understand treatment preferences among Australians with treatment-resistant depression (TRD), focusing on the specific treatment attributes that people value (such as effectiveness, risk of side effects and cost) and their relative importance. The risk-benefit trade-offs that characterize treatment choices were also examined. PATIENTS AND METHODS: An online survey of 75 patients with experience of TRD was conducted, consisting of two discrete choice experiment (DCE) components - a medication DCE and a treatment plan DCE. Participants were able to prioritize and trade off different features of medications and treatment plans. Additional questions aimed to better define this population group, which in Australia is poorly understood.
RESULTS: In both DCEs, two distinct latent classes were identified. In the medication DCE, the classes were distinguished by willingness to consider new treatment alternatives. Participants in class 1 were reluctant to give up current treatment, while those in the slightly larger class 2 preferred new treatment options. In both classes, treatment effectiveness and cost were the greatest contributors to preference. Similar behavior was seen in the treatment plan DCE, with the larger class more likely to choose a new plan over their current treatment arrangement. Participants preferred medications that were low-cost, taken orally, had a high percentage improvement in mood symptoms, high rate of remission and low risk of weight gain. A similar result was found in preferences for treatment plans such that plans with the greatest effectiveness and lowest cost were most favorable.
CONCLUSION: Patient preferences should routinely be considered and discussed to guide informed decisions regarding the value of new and existing medications for TRD and how they sit in the context of treatment plans.
© 2021 Fifer et al.

Entities:  

Keywords:  behavioral economics; major depressive disorder; patient centricity; patient preferences; patient value mapping; quantitative research

Year:  2021        PMID: 34321870      PMCID: PMC8309674          DOI: 10.2147/PPA.S311699

Source DB:  PubMed          Journal:  Patient Prefer Adherence        ISSN: 1177-889X            Impact factor:   2.711


  25 in total

1.  TOWARDS PATIENT-CENTERED CARE FOR DEPRESSION: CONJOINT METHODS TO TAILOR TREATMENT BASED ON PREFERENCES.

Authors:  Marsha N Wittink; Mark Cary; Thomas Tenhave; Jonathan Baron; Joseph J Gallo
Journal:  Patient       Date:  2010       Impact factor: 3.883

2.  Client preferences affect treatment satisfaction, completion, and clinical outcome: a meta-analysis.

Authors:  Oliver Lindhiem; Charles B Bennett; Christopher J Trentacosta; Caitlin McLear
Journal:  Clin Psychol Rev       Date:  2014-06-16

3.  Patient preferences for outcomes of depression treatment in Germany: a choice-based conjoint analysis study.

Authors:  Thomas M Zimmermann; Johannes Clouth; Michael Elosge; Matthias Heurich; Edith Schneider; Stefan Wilhelm; Anette Wolfrath
Journal:  J Affect Disord       Date:  2013-01-03       Impact factor: 4.839

4.  Patient-assigned health state utilities for depression-related outcomes: differences by depression severity and antidepressant medications.

Authors:  D A Revicki; M Wood
Journal:  J Affect Disord       Date:  1998-02       Impact factor: 4.839

5.  RESEARCH: Validation of the Massachusetts General Hospital Antidepressant Treatment History Questionnaire (ATRQ).

Authors:  Gregory M Chandler; Dan V Iosifescu; Mark H Pollack; Steven D Targum; Maurizio Fava
Journal:  CNS Neurosci Ther       Date:  2010-10       Impact factor: 5.243

6.  Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force.

Authors:  F Reed Johnson; Emily Lancsar; Deborah Marshall; Vikram Kilambi; Axel Mühlbacher; Dean A Regier; Brian W Bresnahan; Barbara Kanninen; John F P Bridges
Journal:  Value Health       Date:  2013 Jan-Feb       Impact factor: 5.725

7.  Patient preferences for depression treatment programs and willingness to pay for treatment.

Authors:  Edward Morey; Jennifer A Thacher; W Edward Craighead
Journal:  J Ment Health Policy Econ       Date:  2007-06

8.  Discrete Choice Experiments in Health Economics: Past, Present and Future.

Authors:  Vikas Soekhai; Esther W de Bekker-Grob; Alan R Ellis; Caroline M Vass
Journal:  Pharmacoeconomics       Date:  2019-02       Impact factor: 4.981

Review 9.  Should treatment for depression be based more on patient preference?

Authors:  Sophia E Winter; Jacques P Barber
Journal:  Patient Prefer Adherence       Date:  2013-10-09       Impact factor: 2.711

10.  Depressed patients' preferences for type of psychotherapy: a preliminary study.

Authors:  Antoine Yrondi; Julie Rieu; Claire Massip; Vanina Bongard; Laurent Schmitt
Journal:  Patient Prefer Adherence       Date:  2015-09-24       Impact factor: 2.711

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  1 in total

1.  Understanding the Treatment Preferences of People Living with Schizophrenia in Australia; A Patient Value Mapping Study.

Authors:  Simon Fifer; Brittany Keen; Richard Newton; Andrea Puig; Marija McGeachie
Journal:  Patient Prefer Adherence       Date:  2022-07-19       Impact factor: 2.314

  1 in total

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