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

The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review

INTRODUCTION

Stakeholder preference evaluations are increasingly emphasized in healthcare policy and health technology assessment. Discrete choice experiments (DCEs) are the most common method for quantifying preferences among patients, the public, and healthcare professionals. While prior reviews (1990-2017) have examined DCE trends, no comprehensive synthesis exists for studies published since 2018. This updated review (2018-2023) provides critical insights into evolving methodologies and global trends in health-related DCEs.

METHODS

A systematic search (2018-2023) of Medline, Embase, and Web of Science identified relevant studies. Studies were screened for inclusion and data were extracted, including details on DCE design and analysis. To enable trend comparisons, the search strategy and extraction items aligned with previous reviews.

RESULTS

Of 2663 identified papers, 1279 met the inclusion criteria, reflecting a significant rise in published DCEs over time. DCEs were conducted globally, with a remarkable increase in publications from Asia and Africa compared with previous reviews. Experimental designs and econometric models have advanced, continuing prior trends. Notably, most recent DCEs were administered online.

DISCUSSION

The rapid growth of DCE applications underscores their importance in health research. While the methodology is advancing rapidly, it is crucial that researchers provide full transparency in reporting their methods, particularly in detailing experimental designs and validity tests, which are too often overlooked. Key recommendations include improving reporting of experimental designs, applying validity tests, following good practices for presenting benefit-risk attributes, and adopting open science practices. Ensuring methodological rigor will maximize the impact and reproducibility of DCE research in health economics.

Discrete Choice Experiments to Elicit Patient Preferences for the Treatment of Major Depressive Disorder: A Systematic Review

BACKGROUND

Individual preferences for treatment options for major depressive disorder can impact therapeutic decision making, adherence, and ultimately outcomes.

OBJECTIVES

This systematic review of discrete choice experiments (DCEs) on patient preferences for major depressive disorder treatment assessed the range of DCE applications in major depressive disorder to document patient stakeholder involvement in DCE development and to identify the relative importance of treatment attributes.

METHODS

We searched MEDLINE via Ovid (1946-present), EMBASE (Elsevier interface), Cochrane Central Register of Controlled Trials (Wiley interface), and PsycINFO (EBSCO interface) databases on 29 May, 2024. Covidence software facilitated the review, which four members completed independently. The review was conducted in two phases: title and abstract and then a full-text review. We used an established quality reporting tool to evaluate selected articles. The Covidence extraction tool was adapted for this study.

RESULTS

A total of 19 articles were included in this review. Most studies elicited preferences for depression treatment (63.2%) and care delivery (10.5%). Two assessed willingness to pay. Individuals prefer a combination of medicine and counseling over each treatment alone. Treatment efficacy, relapse prevention, and symptom relief were among the most important attributes. Individuals were willing to accept larger risks to achieve symptom improvement. Few studies examined preference heterogeneity with latent subgroups.

CONCLUSIONS

Discrete choice experiments for major depressive disorder treatment preferences enable an assessment of trade-offs for first-line therapeutic options. Patient stakeholders are infrequently involved as collaborators in the DCE development. Few examined preference heterogeneity among subgroups.

Patient and Healthcare Professional Preferences for Prescription Weight Loss Medications in Australia: Two Discrete Choice Experiments

Purpose

Overweight and obesity are common in Australia and among the leading risk factors for ill health. Maintained weight loss of >5-10% can prevent and reduce the risk of obesity-related comorbidities. Prescription weight loss medications plus lifestyle interventions can result in additional weight loss compared with lifestyle interventions alone, but these medications are under-prescribed in Australia. Our aim was to develop a greater understanding of the treatment preferences of people with overweight or obesity and the healthcare practitioners (HCPs) who treat them.

Participants and Methods

An online survey of Australian adults with overweight or obesity and treating HCPs was conducted in 2020. A discrete choice experiment (DCE) approach was used to determine what is most important to people when evaluating oral and injectable prescription weight loss medications. Participants were asked to choose between three hypothetical treatment alternatives: "Oral pill"; "Subcutaneous injection pen (replaceable needle)"; "Disposable subcutaneous injection pen (hidden needle)"; and an opt-out option ("None of these").

Results

The online survey and DCE were completed by 193 patients and 104 HCPs. For both patients and HCPs, all treatment alternatives (oral, replaceable injection and disposable injection) were preferred over the opt-out. Gastrointestinal side effects, followed by success rate, percentage body weight lost, and cost were the most important attributes to patients. For HCPs, percentage body weight loss was the most important treatment attribute, followed by success rate, gastrointestinal side effects and cost. While most patients reported relatively low needle fear, physicians reported relatively high perceived patient needle fear.

Conclusion

Clinician-patient discussions about treatments for weight loss should cover the option of prescription weight loss medications, including injectable medications, which patients may be less apprehensive about than physicians believe. Treatments with a high success rate and low or manageable risk of gastrointestinal side effects may be preferred over alternatives.

Eliciting Depression Patients' Preferences for Medication Management: A Protocol for Discrete Choice Experiment

Introduction

Depression threatens people's lives and imposes huge economic burden. Antidepressant therapy is the first-line treatment for depression, and patient adherence to medication is the key to successful treatment. Depression patients have poor medication adherence, which leads to failure of depression management and significantly poorer clinical outcomes. Incorporating patient preferences into clinical decisions can improve uptake rates, optimize treatment adherence. A discrete choice experiment (DCE) can elicit and quantify individual preferences. Previous DCE studies were conducted in developed countries and ignored the influences of factors other than the medication. This paper outlines an ongoing DCE that aims to (1) explore medication-management-related characteristics that may affect depression patients' adherence to antidepressant, (2) elicit how depression patients consider the trade-offs among different medication managements.

Methods

The six attributes and their levels were developed through a literature review, semi-structured interviews and experts and focus group discussions. A fractional factorial design in the software Ngene 1.2 version was used to generate 36 choice sets, and they were divided into 3 blocks. A mixed logit model will be used to explore the patients' preferences, willingness to pay and uptake rate of depression patients for medication management attributes.

Results

The final questionnaire consists of three parts. The first is the introduction, which introduces the purpose of the study and the requirements of completing the questionnaire. This was followed by a general information questionnaire, which included sociodemographic characteristics. The last part is DCE tasks, which include 13 DCE choice sets, and each choice set include two alternative and one "opt-out" option. The pilot-test results showed the questionnaire was easy to understand and could be used in formal surveys.

Conclusion

Our study shows how the development process of the study can be conducted and reported systematically and rigorously according to the theoretical foundation and design principles in DCE.

Continuing medical education in China: evidence from primary health workers' preferences for continuing traditional Chinese medicine education

BACKGROUND

Continuing Medical Education (CME) is an important part of the training process for health workers worldwide. In China, training in Traditional Chinese Medicine (TCM) not only improves the expertise of medical workers, but also supports the Chinese Government's policy of promoting TCM as an equal treatment to western medicine. CME, including learning Traditional Chinese Medicine Technologies (TCMTs), perform poorly and research into the motivation of health workers to engage in CME is urgently required. Using a discrete choice experiment, this study assessed the CME learning preferences of primary health workers, using TCMT as a case study of CME programs.

METHODS

We conducted a discrete choice experiment among health workers in Shandong Province, Guizhou Province, and Henan provinces from July 1, 2021 to October 1, 2022 on the TCMT learning preferences of primary health workers. The mixed logit model and latent class analysis model were used to analyze primary health workers' TCMT learning preferences.

RESULTS

A total of 1,063 respondents participated in this study, of which 1,001 (94.2%) passed the consistency test and formed the final sample. Our key finding was that there were three distinct classes of TCMT learners. Overall, the relative importance of the seven attributes impacting the learning of TCMTs were: learning expenses, expected TCMT efficacy, TCMT learning difficulty, TCMT mode of learning, TCMT type, time required to learn, and expected frequency of TCMT use. However, these attributes differed significantly across the three distinct classes of TCMT learners. Infrequent users (class 1) were concerned with learning expenses and learning difficulty; workaholics (class 2) focused on the mode of learning; and pragmatists (class 3) paid more attention to the expected TCMT efficacy and the expected frequency of TCMT use. We recommend targeted strategies to motivate TCMT learning suited to the requirements of each class of TCMT learners.

CONCLUSION

Rather than a single TCMT medical education program for primary health workers, CME programs should be targeted at different classes of TCMT learners.

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

PURPOSE

To examine the treatment and long-term outcome preferences for people living with schizophrenia.

PATIENTS AND METHODS

Sixty-six Australian adults, living with schizophrenia completed a novel online survey with six sections: Demographic characteristics; Disease history; Quality-of-life; Patient support programmes; Discrete Choice Experiment, and Best-Worst Scaling exercise.

RESULTS

Participants indicated that they preferred to be involved in treatment decision with their doctor. A minority of participants reported having been previously involved in a patient support programme (28.8%) and only one in six participants had a National Disability Insurance Scheme (NDIS) package (16.7%) with over a third of participants indicating that they were ineligible (37.9%). Participants' average quality-of-life score was 60%.

CONCLUSION

Recent hospitalisation influenced the relative importance of treatment attributes, with effectiveness on hearing voices being the most important treatment attribute. The most important long-term goals were having a stable place to live, being independent, and physical health. People with schizophrenia care about their long-term functional recovery outcomes, rating symptom control and independence as their highest priority. They want to be part of the treatment conversation with their doctors. Therefore, psychiatrists are encouraged to use shared decision-making to establish the treatment course that best aligns with individuals' long-term goals.