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1.
Drug Alcohol Depend Rep ; 11: 100225, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38545408

ABSTRACT

Background: At-risk alcohol use is associated with increased adverse health consequences, yet is undertreated in healthcare settings. People residing in rural areas need improved access to services; however, few interventions are designed to meet the needs of rural populations. Mobile interventions can provide feasible, low-cost, and scalable means for reaching this population and improving health, and behavioral economic approaches are promising. Methods: We conducted a pilot randomized controlled trial focused on acceptability and feasibility of a mobile behavioral economic intervention for 75 rural-residing adults with at-risk alcohol use. We recruited participants from a large healthcare system and randomized them to one of four virtually-delivered conditions reflecting behavioral economic approaches: episodic future thinking (EFT), volitional choice (VC), both EFT and VC, or enhanced usual care control (EUC). The intervention included a telephone-delivered induction session followed by two weeks of condition-consistent ecological momentary interventions (EMIs; 2x/day) and ecological momentary assessments (EMAs; 1x/day). Participants completed assessments at baseline, post-intervention, and two-month follow-up, and provided intervention feedback. Results: All participants completed the telephone-delivered session and elected to receive EMI messages. Average completion rate of EMAs across conditions was 92.9%. Among participants in active intervention conditions, 89.3% reported the induction session was helpful and 80.0% reported it influenced their future drinking. We also report initial alcohol use outcomes. Discussion: The behavioral economic intervention components and trial procedures evaluated here appear to be feasible and acceptable. Next steps include determination of their efficacy to reduce alcohol use and public health harms.

2.
Article in English | MEDLINE | ID: mdl-37347989

ABSTRACT

Introduction: The legal landscape of recreational cannabis production and consumption is rapidly expanding, driving a need to inform empirically supported cannabis regulatory policy. A behavioral economic framework integrating economic constructs (e.g., price, substitutability) with psychology and decision-making sciences, has previously been applied to tobacco regulatory sciences through the use of experimental marketplaces. However, experimental marketplaces have not yet been applied to understand cannabis choice behaviors or study ways to minimize risks from use. Herein, we describe the development and initial feasibility testing of an Experimental Cannabis Marketplace (ECM). The ECM can serve as an experimental platform relevant to evaluating the impact of regulatory policies on cannabis choices and use behavior. Methods: The ECM was designed to resemble an online cannabis dispensary. Adults aged 21 and older with past month cannabis use and past month purchase from a recreational dispensary were recruited online. To test the feasibility and acceptability of the ECM, 62 people completed the ECM shopping task and provided feedback on the ECM prototype. Participants also reported about their typical purchases from real-world dispensaries. Results: Nearly all participants rated the ECM as very (80.65%) or somewhat (16.13%) easy to navigate, and rated task instructions as at least mostly clear (100%). The majority (75.81%) said cannabis products available in the ECM were mostly the same or exactly the same as at their typical dispensary. Participant purchase choices in actual dispensary purchases closely matched ECM purchases, with 88% of product choices in typical real-world cannabis dispensaries matching the ECM products purchased. Discussion: Initial testing of the ECM indicates it is an acceptable and feasible tool for understanding cannabis purchasing and choice behavior. These preliminary findings suggest that the ECM mimics cannabis dispensary settings with people making similar choices to those made in the real world.

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