Methods for Population Research on Substance Use and Consequences

Treatment Referrals Post-prohibition of Alcohol Exclusion Laws: Evidence from Colorado and Illinois

BACKGROUND

Individuals with alcohol-related disorders often encounter barriers to accessing treatment. One potential barrier is the state alcohol exclusion laws (AELs) that allow insurers to deny coverage for injuries or illnesses caused by alcohol intoxication. Several states have repealed AELs by prohibiting them completely, including banning exclusions in health and accident insurance policies, limiting their scope, or creating exemptions.

OBJECTIVES

To examine whether prohibiting alcohol exclusions in health and accident insurance policies is associated with alcohol-related treatment admissions.

DESIGN

We used the 2002 to 2017 Treatment Episode Data Set and obtained data from several sources to control for state-level factors. We employed a heterogeneous difference-in-differences method and an event study to compare the treatment admissions in Colorado and Illinois, two states that uniquely repealed AELs, with control states that allowed or had no AELs.

MAIN MEASURES

We used aggregated alcohol treatment admission for adults by healthcare referral: (i) with alcohol as the primary substance and (ii) with alcohol as the primary, secondary, or tertiary substance.

KEY RESULTS

We found a significant relationship between AEL repeal and increased referrals. AEL repeal in Colorado and Illinois was associated with higher treatment admissions from 2008 to 2011 (average treatment effect on the treated: 2008 = 653, 2009 = 1161, 2010 = 1388, and 2011 = 2020). We also found that a longer duration of exposure to AEL repeal was associated with higher treatment admissions, but this effect faded after the fourth year post-treatment.

CONCLUSIONS

Our study reveals a potential positive association between the repeal and prohibition of AELs and increased alcohol-related treatment admissions. These findings suggest that states could enhance treatment opportunities for alcohol-related disorders by reconsidering their stance on AELs. While our study highlights the possible public health benefits of repealing AELs, it also paves the way for additional studies in this domain.

Trial Participants' Perceptions of the Impact of Ecological Momentary Assessment on Smoking Behaviors: Qualitative Analysis

Background

Ecological momentary assessment (EMA) is an increasingly used tool for data collection in behavioral research, including smoking cessation studies. As previous addiction research suggests, EMA has the potential to elicit cue reactivity by triggering craving and increasing behavioral awareness. However, there has been limited evaluation of its potential influence on behavior.

Objective

By examining the perspectives of research participants enrolled in a tobacco treatment intervention trial, this qualitative analysis aims to understand the potential impact that EMA use may have had on smoking behaviors that may not have otherwise been captured through other study measures.

Methods

We performed a qualitative analysis of in-depth interviews with participants enrolled in a pilot randomized controlled trial of a tobacco treatment intervention that used SMS text messaging to collect EMA data on smoking behaviors. In the pilot randomized controlled trial, combustible cigarette and e-cigarette use and smoking-related cravings were measured as part of an EMA protocol, in which SMS text messaging served as a smoking diary. SMS text messaging was intended for data collection only and not designed to serve as part of the intervention. After a baseline assessment, participants were asked to record daily nicotine use for 12 weeks by responding to text message prompts that they received 4 times per day. Participants were prompted to share their experiences with the EMA text messaging component of the trial but were not directly asked about the influence of EMA on their behaviors. Transcripts were coded according to the principles of the framework for applied research. The codes were then examined, summarized, and grouped into themes based on the principles of grounded theory.

Results

Interviews were analyzed for 26 participants. The themes developed from the analysis suggested the potential for EMA, in the form of an SMS text messaging smoking diary, to influence participants' smoking behaviors. The perceived impacts of EMA text messaging on smoking behaviors were polarized; some participants emphasized the positive impacts of text messages on their efforts to reduce smoking, while others stressed the ways that text messaging negatively impacted their smoking reduction efforts. These contrasting experiences were captured by themes reflecting the positive impacts on smoking behaviors, including increased awareness of smoking behaviors and a sense of accountability, and the negative impacts on emotions and smoking behaviors, including provoking a sense of guilt and triggering smoking behaviors.

Conclusions

The collection of EMA smoking behavior data via SMS text messaging may influence the behaviors and perceptions of participants in tobacco treatment interventions. More research is needed to determine the magnitude of impact and mechanisms, to account for the potential effects of EMA. A broader discussion of the unintended effects introduced by EMA use is warranted among the research community.

Problem drinking as intentional risky behavior: Examining the association between state health insurance coverage and excessive alcohol consumption

The moral hazard theory asserts that having health insurance may increase individual risk-taking behaviors. We examined the association between state health insurance coverage and excessive alcohol use among U.S. adults. We used 2001-2017 Behavioral Risk Factor Surveillance System data to estimate annual binge and heavy drinking rates for each state. In a multivariable regression analysis, we used difference-in-difference (DID) models to assess the association between state-level insurance coverage and binge and heavy drinking. Additionally, we assess the potential asymmetric effect and whether economic recessions (2001, 2008-09) had a moderation effect. In the multivariable DID analysis, aggregate state insurance coverage was not significantly associated with binge drinking rates in baseline analysis with state-fixed effects (Model 1), and in the analysis that extends the baseline model to include state unique time trend (Model 2). A similar result was found for heavy drinking in Model 1. In contrast, the result showed a significant association between health insurance coverage and heavy drinking rates in Model 2. However, we found no significant association for binge and heavy drinking rates in both models in the analyses restricting data to periods before the methodological change in the BRFSS sampling frame. The results did not show asymmetric effects, and the association between health insurance and excessive alcohol use did not differ during economic recessions. These findings largely do not support assertions that health insurance may lead to moral hazards (risk-taking behaviors), especially binge drinking.