Valuing families' preferences for drug treatment: a discrete choice experiment

Determinants of preference for telehealth versus in-person treatment for substance use disorders: A discrete choice experiment

INTRODUCTION

Access to substance use disorder (SUD) treatment remains a significant issue in the United States. Telehealth has potential for increasing access to services; however, it is underutilized in SUD treatment compared to mental health treatment. This study uses a discrete choice experiment (DCE) to examine stated preferences for telehealth (videoconferencing, text-based + video, text only) versus in-person SUD treatment (community-based, in-home) and the attributes (location, cost, therapist choice, wait time, evidence-based practices) most important when choosing between modalities. Subgroup analyses are reported about preference differences based on type of substance and substance use severity.

METHODS

Four hundred participants completed a survey containing a DCE with eighteen choice sets, the alcohol use disorders inventory test, drug abuse screening test, and a brief demographic questionnaire. The study collected data between April 15, 2020, and April 22, 2020. Conditional logit regression provided a measure of strength for participant preferences for technology-assisted treatment compared to in-person care. The study provides willingness to pay estimates as a real-world measure for the importance of each attribute in participants' decision-making.

RESULTS

Telehealth options that include a video conference option were equally preferrable to in-person care modalities. Text-only treatment was significantly less preferable to all other modalities of care. The ability to choose one's own therapist was a significant driver of treatment preference beyond modality, while wait time did not appear significant in making decisions. Participants with the most severe substance use differed in that they were open to text-based care without video conferencing, did not express a preference for evidence-based care, and valued therapist choice significantly more than those with only moderate substance use.

CONCLUSIONS

Telehealth for SUD treatment is equally preferable to in-person care offered in the community or at home, signifying preference is not a barrier for utilization. Text-only modalities may be enhanced by offering videoconference options for most individuals. Individuals with the most severe substance use issues may be willing to engage in text-based support without synchronous meetings with a provider. This approach may offer a less intensive method to engage individuals in treatment who may not otherwise access services.

Applying a 'harm to others' research framework to illicit drugs: political discourses and ambiguous policy implications

During the past decade, 'alcohol's harm to others' (AHTO) has emerged as an international approach to studying alcohol problems and informing policy. The AHTO approach seeks to increase political will for alcohol policy by mapping, measuring and often costing harms beyond the person who drinks (e.g. family members, co-workers). In this paper we consider the implications of a 'harm to others' approach for illicit drugs. We ask whether it could and should be used as a policy tool, given the high risks of further stigmatizing people who use drugs. We consider the ways in which the concept and measurement of 'harm to others' may be either productive or potentially harmful, depending on the extent to which the AHTO is replicated for illicit drugs. Shifting the language may assist: the term 'harm from others' appears to carry less risk of stigma. In addition, all harms inclusive of drug supply and drug consumption need to be included if a full picture of harms that accrue to other people from illicit drugs is to be achieved.

Patients' preferences for health insurance coverage of new technologies for treating chronic diseases in China: a discrete choice experiment

OBJECTIVES

Our study aimed to inform insurance decision-making in China by investigating patients' preferences for insurance coverage of new technologies for treating chronic diseases.

DESIGN

We identified six attributes of new medical technologies for treating chronic diseases and used Bayesian-efficient design to generate choice sets for a discrete choice experiment (DCE). After conducting the DCE, we analysed the data by mixed logit regression to examine patient-reported preferences for each attribute.

SETTING

The DCE was conducted with patients in six tertiary hospitals from four cities in Jiangsu province.

PARTICIPANTS

Patients aged 18 years or older with a history of diabetes or hypertension and taking medications regularly for more than 1 year were recruited (n=408).

RESULTS

The technology attributes regarding expected gains in health outcomes from the treatment, high likelihood of effective treatment and low incidence of serious adverse events were significant, positive predictors of choice by the study patients (p<0.01). The out-of-pocket cost was a significant, negative attribute for the entire study sample (β = -0.258, p<0.01) and for the patients with Urban-Rural Residents Basic Medical Insurance (URRBMI) (β = -0.511, p<0.01), but not for all the patients with Urban Employees Basic Medical Insurance (UEBMI) (β = -0.071, p>0.05). The severity of target disease was valued by patients with lower EQ-5D-5L index value as well as URRBMI enrollees.

CONCLUSIONS

Patients highly valued the health benefits and risks of new technologies, which were closely linked to their feelings of disease and perceptions of health-related quality of life. However, there existed heterogeneity in preferences between URRBMI and UEBMI patients. Further efforts should be made to reduce the gap between insurance schemes and make safe and cost-effective new technologies as a priority for health insurance reimbursement.