Estimating Joint Health State Utility Algorithms Under Partial Information.

OBJECTIVES: We explored the performance of existing joint health state utility estimators when data are not available on utilities that isolate single-condition health states excluding any co-occurring condition. METHODS: Using data from the National Epidemiologic Survey on Alcohol and Related Conditions-III, we defined 2 information sets: (1) a full-information set that includes the narrowly defined health state utilities used in most studies that test the performance of joint health state utility estimators, and (2) a limited information set that includes only the more broadly defined health state utilities more commonly available to researchers. We used an example of alcohol use disorder co-occurring with cirrhosis of the liver, depressive disorder, or nicotine use disorder to illustrate our analysis. RESULTS: We found that the performance of joint health state utility estimators is appreciably different under limited information than under full information. Full-information estimators typically overestimate the joint state utility, whereas limited-information estimators underestimate the joint state utility, except for the minimum estimator, which is overestimated in all cases. CONCLUSIONS: Researchers using joint health state utility estimators should understand the information set available to them and use methodological guidance appropriate for that information set. We recommend the minimum estimator under limited information based on its ease of use, consistency (and therefore a predictable direction of bias), and lower root mean squared error.

Alcohol use and the wage returns to education and work experience.

Despite a widely held belief that alcohol use should negatively impact wages, much of the literature on the topic suggests a positive relationship between nonproblematic alcohol use and wages. Studies on the effect of alcohol use on educational attainment have also failed to find a consistent, negative effect of alcohol use on years of education. Thus, the connections between alcohol use, human capital, and wages remain a topic of debate in the literature. In this study, we use the 1997 cohort of the National Longitudinal Survey of Youth to estimate a theoretical model of wage determination that links alcohol use to wages via human capital. We find that nonbinge drinking is associated with lower wage returns to education whereas binge drinking is associated with increased wage returns to both education and work experience. We interpret these counterintuitive results as evidence that alcohol use affects wages through both the allocative and productive efficiency of human capital formation and that these effects operate in offsetting directions. We suggest that alcohol control policies should be more nuanced to target alcohol consumption in the contexts within which it causes harm.

Joint Utility Estimators in Substance Use Disorders.

BACKGROUND: Although co-occurring conditions are common with substance use disorders (SUDs), estimation methods for joint health state utilities have not yet been tested in this context. OBJECTIVES: To compare joint health state utility estimators in SUD to inform economic evaluation. METHODS: We conducted two Internet-based surveys of US adults to collect community perspective standard gamble utilities for SUD and common co-occurring conditions. We evaluated six conditions as they occur individually and four combinations of these as they occur in tandem. We applied joint utility estimators using the six individual conditions' utilities to compare their performance relative to the observed combination states' utilities. We assessed performance with bias (estimated utility minus observed utility) and root mean square error (RMSE). RESULTS: Using 3892 utilities from 1502 respondents, the minimum estimator was statistically unbiased (i.e., the 95% confidence interval included 0) for all combination states that we measured. The maximum estimator was unbiased for two states and the linear index and adjusted decrement estimators were unbiased for one state. The maximum estimator had the smallest RMSE for two combination states (back pain and prescription opioid misuse [0.0004] and injection crack and injection opioid use [0.0007]); the linear index and minimum estimators had the smallest RMSE for one combination state each. The additive and multiplicative estimators had the largest RMSE for all states. CONCLUSIONS: Our results demonstrate the usefulness of the minimum estimator in this context, and confirm the inadequacy of the additive and multiplicative estimators. Further research is needed to extend these results to other SUD states.

The Relationship Between End-of-Treatment Alcohol Use and Subsequent Healthcare Costs: Do Heavy Drinking Days Predict Higher Healthcare Costs?

BACKGROUND: A challenge for evaluating alcohol treatment efficacy is determining what constitutes a "good" outcome or meaningful improvement. Abstinence at the end of treatment is an unambiguously good outcome; however, a focus on abstinence ignores the potential benefits of patients reducing their drinking to less problematic levels. Patients may be drinking at low-risk levels at the end of treatment but may be high-functioning and impose few social costs. In this study, we estimate the relationship between drinking at the end of COMBINE treatment and subsequent healthcare costs with an emphasis on heavy and nonheavy drinking levels. METHODS: Indicators of heavy drinking days (HDDs; 5+ drinks for men, 4+ for women) and nonheavy drinking days (non-HDDs) during the last 30 days of COMBINE treatment were constructed for 748 patients enrolled in the COMBINE Economic Study. Generalized linear models were used to model total costs following COMBINE treatment as a function of drinking indicators. Different model specifications analyzed alternative counts of HDDs (e.g., 1 HDD and 2 to 30 HDDs), and groups having Both non-HDDs and HDDs. RESULTS: Patients with HDDs had 66.4% (p < 0.01) higher healthcare costs than those who were abstinent. Having more than 2 HDDs was associated with the highest costs (75.9%, p < 0.01). Patients with non-HDDs had costs that were not significantly different than abstainers, even if they also had HDDs. However, those with HDDs only had costs 91.7% higher than abstainers (p < 0.01). CONCLUSIONS: Having HDDs at the end of treatment is associated with higher costs. Patients who had Only HDDs at the end of treatment had worse subsequent outcomes than those who had Both non-HDDs and HDDs. These findings offer new context for evaluating treatment outcomes and provide new information on the association of drinking with consequences.

The Impact of a Mandated Trauma Center Alcohol Intervention on Readmission and Cost per Readmission in Arizona.

BACKGROUND: Persons appearing in trauma centers have a higher prevalence of unhealthy alcohol use than the general population. Screening and brief intervention (SBI) is designed to moderate drinking levels and avoid costly future readmissions, but few studies have examined the impact of SBI on hospital readmissions and health care costs in a trauma population. RESEARCH DESIGN: This study uses comparative interrupted time-series and the Arizona State Inpatient Database to estimate the effect of the American College of Surgeons Committee on Trauma SBI mandate on the probability of readmission and cost per readmission in Arizona trauma centers. We compare individuals with and without an alcohol diagnosis code before and after the mandate was implemented. RESULTS: The mandate resulted in a 2.2 percentage point reduction (44%) in the probability of readmission. Total health care and readmission costs were not affected by the mandate. CONCLUSIONS: The estimates are consistent with a differential effect of SBI: SBI reduces readmissions among those who present with a less serious alcohol-related problem. Persons with more serious alcohol problems are less likely to respond to SBI. These higher risk individuals likely have a higher cost, which may explain the lack of change in readmission costs. Our study is a macrolevel intent-to-treat analysis of SBI's impact that corroborates the potential of SBI implied by efficacy studies in trauma centers and other settings. This study provides a framework for future research involving more states and health systems and evaluating other SBI policies.

Implementation costs of the appraise alcohol brief intervention (ABI) for male remand prisoners: A micro-costing protocol and preliminary findings.

OBJECTIVE: This paper documents the methods used to assess the implementation costs of the APPRAISE alcohol brief intervention (ABI) delivered to male remand prisoners across two study sites in Scotland and North East England. METHOD: We first developed a comprehensive taxonomy of the activities constituting the APPRIASE ABI. Next, data were collected for each activity about the study staff and the subject time spent, in addition to the other resources used and unit costs. RESULTS: From the pilot data collection it was possible to construct a narrative, for both study sites, for how the intervention was delivered and the time required for each activity. The ABI was delivered by Change Grow Live and Humankind intervention staff and staff salaries were obtained from both organizations to calculate the staff delivery costs for each site. Other costs, such as the printing of materials, were estimated based on APPRAISE study records. Due to the ongoing Covid-19 restrictions and limited access to prison resources and staff, there were significant deviations from the initial study protocols. As a result, we document the costs of implementing the ABI as delivered rather than as planned. CONCLUSIONS: This paper provides the first estimates of the implementation costs of an ABI delivered in criminal justice setting in the UK. Although these costs are from a pilot implementation that was heavily impacted by the Covid-19 pandemic, this paper nonetheless provides useful, policy-relevant information on the potential costs of providing ABI to remand prisoners. It also serves as a methodological template, guidance, and proof of concept for future micro-costing studies of ABIs in criminal justice settings.

Health Utility of Drinkers' Family Members: A Secondary Analysis of a US Population Data Set.

Background. Problematic alcohol use is known to harm individuals surrounding the drinker. This study described the health utility of people who reported having a family member(s) whom they perceived as a "problem drinker."Methods. We conducted a secondary analysis of the US National Epidemiologic Survey of Alcohol and Related Conditions Wave 3 (NESARC-III, 2012-13) data to estimate the independent associations of a family member's problem drinking on the respondent's health utility, also known as health-related quality of life, assessed via the SF-6D. Participants included 29,159 noninstitutionalized adults, of whom 21,808 reported perceiving a family member or members as having a drinking problem at any point in that person's life. Respondent drinking was assessed via self-report and diagnostic interview. We used population-weighted multivariate regression to estimate disutility. Results. After adjusting for the respondent's own alcohol consumption, alcohol use disorder (AUD), family structure, and sociodemographic characteristics, the mean decrement in SF-6D score associated with perceiving a family member as a problem drinker ranged from 0.033 (P < 0.001) for a spouse/partner to 0.023 (P < 0.001) for a grandparent, sibling, aunt, or uncle. The mean decrement in SF-6D score from having AUD oneself was 0.039 (P < 0.001). Conclusions. Perceived problem drinking within one's family is associated with statistically significant losses in health utility, the magnitude of which is dependent on relationship type. The adverse consequences associated with problem drinking in the family may rival having AUD oneself. Implications. Family-oriented approaches to AUD interventions may confer outsize benefits, especially if focused on the spouse or partner. Economic evaluation of alcohol misuse could be made more accurate through the inclusion of family spillover effects. Highlights: Spillover effects from problem drinking in the family vary by relationship type.One's perception of their spouse or child as having a drinking problem is associated with a utility decrement of equal magnitude to having alcohol use disorder oneself.Medical decision makers should consider the outsize effects of family spillovers in treatment decisions in the context of alcohol consumption, particularly among spouses and children of problem drinkers.Economic evaluation should consider how to incorporate family spillover effects from problem drinking in alcohol-related models.

Association of opioid utilization management with prescribing and overdose.

OBJECTIVES: Deaths from prescription opioids have reached epidemic levels in the United States, yet little is known about how insurers' coverage policies may affect rates of fatal and nonfatal overdose among individuals filling an opioid prescription. STUDY DESIGN: Retrospective cohort study using 2010-2016 Medicare claims data for beneficiaries with 1 or more filled prescriptions for a Schedule II opioid. METHODS: Outcomes were opioid volume dispensed in morphine milligram equivalents (MME), number of days supplied, and number of pills dispensed on each prescription and emergency department or inpatient stay associated with an opioid overdose during a prescription or within 7 days of the end of the prescription. RESULTS: A total of 7.03 million prescriptions for Schedule II opioids were dispensed over 1.87 million Part D beneficiary-years. The 7.03 million opioid prescriptions were associated with 8.5 opioid overdoses per 10,000 prescriptions. Prior authorization was associated with larger opioid volumes per prescription (103.6 MME; 95% CI, 36.2-171.0). Step therapy was associated with a greater number of days supplied (0.62 days; 95% CI, 0.10-1.13) and more pills dispensed (6.12 pills; 95% CI, 2.17-10.1). Quantity limits were associated with smaller opioid volumes (24.3 MME; 95% CI, 12.3-36.3) and fewer pills dispensed (2.35 pills; 95% CI, 1.77-2.93). In adjusted models, beneficiaries filling an opioid requiring prior authorization experienced 3.3 fewer overdoses per 10,000 prescriptions (95% CI, 0.41-6.2). CONCLUSIONS: Opioid utilization management among these beneficiaries was associated with mixed effects on opioid prescribing, and prior authorization was associated with a decreased likelihood of subsequent overdose. Further work exploring the impact of utilization management and insurer policies is needed.

Alcohol consumption and health-related quality of life in the US during the COVID-19 pandemic: a US national survey.

BACKGROUND: Alcohol consumption has changed during the COVID-19 pandemic yet the impacts on alcohol-related outcomes, and specifically health-related quality of life, are not completely known. Our objective was to assess the association between alcohol consumption and health-related quality of life (HRQOL) during the COVID-19 pandemic. METHOD: We conducted an on-line/telephone survey of three cross-sectional samples of US adults during a nine-month stretch of the pandemic, from August 2020 through April 2021, collecting data on drinking-current quantity/frequency and change since prior to pandemic, HRQOL (using the SF-6D), and perceived impact of the pandemic on respondents' lives-overall impact and disruptions across various dimensions (job loss, school closures, social isolation, loss of income). We pooled the data from the three administrations and applied survey weights to reflect the US population. We described drinking behavior and pandemic impact, and regressed HRQOL on alcohol consumption risk level (per World Health Organization categories), change in drinking since pre-pandemic, and pandemic impact using weighted least squares, controlling for respondents' demographic characteristics. We tested the significance of categorical variables using Wald tests at a p-value of 0.05. RESULTS: Among 3,125 respondents, weighted to reflect the US population, 68% reported drinking during the pandemic and 40% reported a change in drinking from pre-pandemic level (either increased or decreased). Mean HRQOL among our sample was 0.721 (SD 0.003). Any change in drinking from pre-pandemic level was independently associated with significantly lower HRQOL compared to never drinking (pre or during pandemic), from - 0.0251 points for decreased/stopped drinking to -0.0406 points for increased drinking (combined levels' Wald test F = 10.62, p < 0.0000). COVID-19 pandemic related impacts/disruptions were associated with HRQOL decrements ranging from - 0.0834 to -0.1340 (Wald test F = 64.34, p < 0.0000). CONCLUSION: The US population HRQOL was substantially lower during the pandemic than reported a decade earlier (mean = 0.79 in 2012-13). While pandemic-related impacts and disruptions may explain a large part of this decrement, changes in drinking-and the associated implications of such changes-might also play a role. Both individuals who reduced their drinking during the pandemic and those who increased consumption may be at risk of poor HRQOL.

The COVID-19 pandemic has precipitated changes in drinking that may be positive or negative depending on who is affected and how. We conducted a survey of over 3,000 adults in the US during the middle of the pandemic to understand drinking and quality of life. We found that US adults' quality of life was worse during the pandemic than in prior years, and people who either increased or decreased the amount that they drank were particularly worse-off. People who reported being severely impacted by the pandemic, however, were also much worse-off in terms of quality of life, and actually more so than people whose drinking habits changed. We need to pay attention to how drinking is connected to stressful events such as the pandemic, and make sure to attend to people who change their drinking in either direction as this may indicate underlying problems.

SBIRT administered by mental health counselors for hospitalized adults with substance misuse or disordered use: Evaluating hospital utilization and costs.

OBJECTIVE: We analyzed the association of Screening, Brief Intervention, and Referral to Treatment (SBIRT) with hospitalizations, emergency department (ED) visits, and related costs, when administered to inpatients with substance misuse or disordered use by professional mental health counselors. METHODS: Our study used retrospective program and health records data and a difference-in-differences design with propensity score covariates. The study population consisted of hospital inpatients admitted to integrated care services staffed by physicians, nurses, and mental health counselors. The intervention group consisted of patients selected for intervention based on substance use history and receiving SBIRT (n = 1577). Patients selected for intervention but discharged before SBIRT administration (n = 618) formed the comparison group. The outcome variables were hospitalization and ED visits costs and counts. Costs of hospitalizations and ED visits were combined to allow sufficient data for analysis, with counts treated similarly. Patient-level variables were substance use type and substance use severity. A cluster variable was inpatient clinical service. Zero-censored and two-part logistic and generalized linear models with robust standard errors tested the association of SBIRT interventions with the outcomes. RESULTS: For the full study population of patients using alcohol, illicit drugs, or both, SBIRT administered by mental health counselors was not associated with changes in hospitalizations and ED visits. For patients with alcohol misuse or disordered use, SBIRT by mental health counselors was associated an odds ratio of 0.32 (p < .001) of having subsequent hospitalizations or ED visits. For patients with alcohol use who did return as hospital inpatients or to the ED, SBIRT by counselors was associated with a reduction in costs of $2547 per patient (p < .001) and with an incidence rate ratio of 0.57 for counts (p = .003). CONCLUSION: Our results suggest that professional mental health counselors on inpatient integrated care teams may provide SBIRT effectively for patients with misuse and disordered use of alcohol, reducing the likelihood of future healthcare utilization and costs.

A systematic review and meta-analysis of health care utilization outcomes in alcohol screening and brief intervention trials.

OBJECTIVE: This systematic review and meta-analysis examines the effect of screening and brief intervention (SBI) on outpatient, emergency department (ED), and inpatient health care utilization outcomes. Much of the current literature speculates that SBI provides cost savings through reduced health care utilization, but no systematic review or meta-analysis examines this assertion. METHOD: Publications were abstracted from online journal collections and targeted Web searches. The systematic review included any publications that examined the association between SBI and health care utilization. Each publication was rated independently by 2 study authors and assigned a consensus methodological score. The meta-analysis focused on those studies examined in the systematic review, but it excluded publications that had incomplete data, low methodological quality, or a cluster-randomized design. RESULTS: Systematic review results suggest that SBI has little to no effect on inpatient or outpatient health care utilization, but it may have a small, negative effect on ED utilization. A random effects meta-analysis using the Hedges method confirms the ED result for SBI delivered across settings (standardized mean difference = -0.06, I = 13.9%) but does not achieve statistical significance (confidence interval: -0.15, 0.03). CONCLUSIONS: SBI may reduce overall health care costs, but more studies are needed. Current evidence is inconclusive for SBI delivered in ED and non-ED hospital settings. Future studies of SBI and health care utilization should report the estimated effects and variance, regardless of the effect size or statistical significance.

Return on Investment of Workplace Wellness: Evidence From a Long-Term Care Company.

BACKGROUND: Workplace wellness programs (WWPs) are increasingly promoted by businesses and governments as an important strategy to improve workers' overall health and well-being and to reduce health care and other organizational costs. Few studies have evaluated WWPs in small businesses to provide evidence on the potential return-on-investment (ROI) that WWPs might yield. This study aimed to fill this gap by presenting a quasi-experimental, ROI analysis of a WWP in a small company. METHODS: This observational quasi-experimental study evaluated economic outcomes of a multicomponent WWP implemented by a small long-term care company. The company provided approximately 2 years of de-identified, individualized data on its employees for 2013-2015. There were 116 WWP participants and 323 nonparticipants. Difference-in-differences models were used to evaluate the program using organizational costs and ROI estimates. FINDINGS: The estimated program cost was $132.692 (95% confidence interval [CI]: [$112.957, $156.101]) per participant and the estimated organizational costs savings were $210.342 (95% CI: [-4354.095, 2002.890]). The WWP achieved an ROI of $0.585 (95% CI: [-$35.095, $14.103]) per participant. Although not statistically significant, the results suggest that the WWP saved $1.585 for every $1 invested. CONCLUSIONS/APPLICATION TO PRACTICE: These results suggest that the evaluated WWP yielded a positive, although nonsignificant, ROI estimate. While ROI is still one of the most common evaluation metrics used in workplace wellness, few studies present ROI estimates of WWPs in small companies. Given policy efforts to promote WWPs in small businesses, there is a need to conduct high-quality ROI analyses for WWPs in smaller companies.

SF-6D utility scores for alcohol use disorder status and alcohol consumption risk levels in the US population.

AIMS: To estimate US population health utilities for subgroups defined by alcohol use disorder (AUD) status and consumption level. DESIGN: Cross-sectional survey. SETTING: Community settings in the United States (i.e. excluding institutional settings). PARTICIPANTS: A total of 36,042 adults (age 18+) in non-institutional settings in the United States. MEASUREMENTS: We used 12-item Short Form Survey (SF-12) data from the National Epidemiologic Survey on Alcohol and Related Conditions-III to calculate mean Short Form-6 dimension (SF-6D) utility scores across World Health Organization alcohol consumption risk levels-very high risk, high risk, medium risk, low risk and an additional abstinent level-for three groups: (1) the general population (n = 36,042), (2) individuals with life-time AUD (n = 9925) and (3) individuals with current AUD (n = 5083), and assessed minimally important differences (MIDs) between consumption levels. Each group is a subset of the previous group. FINDINGS: The general population's mean SF-6D utility was higher than that of individuals with life-time or current AUD across all consumption risk levels (0.79 versus 0.76 for both AUD groups). For all groups, SF-6D utilities increased as consumption risk level decreased to non-abstinent levels, and reducing consumption from very high risk to any lower level was associated with a statistically significant and meaningful improvement in utility. For individuals with life-time or current AUD, becoming abstinent from high-, medium- and low-risk levels was associated with significantly and meaningfully worse utilities. CONCLUSIONS: Higher alcohol consumption risk levels appear to be associated with lower health index scores for the general population and individuals with a history of alcohol use disorder, meaning that higher alcohol consumption is associated with worse health-related quality of life.

Health-related quality of life of alcohol use disorder with co-occurring conditions in the US population.

BACKGROUND: Alcohol use disorder (AUD) commonly co-occurs with other health conditions or other substance use, complicating our understanding of the health-related quality of life (HRQoL) of AUD. We described the HRQoL of alcohol use disorder in the presence of co-occurring conditions and identified the contribution of each. METHODS: Secondary analysis of National Epidemiologic Survey on Alcohol and Related Conditions III data, consisting of 36,309 non-institutionalized US adults; descriptive and regression analysis. HRQoL measured via the SF-6D; AUD via the Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS-5); physical, mental health, and substance use disorders/conditions as reported or assessed via AUDADIS-5. RESULTS: AUD was independently associated with lower HRQoL for individuals experiencing co-occurring conditions. Compared to no AUD, past year AUD reduced SF-6D score by 0.0304 (SE = 0.0027) and prior-to-past-year AUD reduced SF-6D by 0.0163 (SE = 0.0023). AUD's co-occurring conditions were independently associated with lower HRQoL, beyond the reduction from AUD: any co-occurring physical health condition was associated with a 0.062 point reduction in SF-6D score (SE = 0.0023), any mental health condition with a 0.084 point reduction (SE = 0.0025), and any substance use disorder with a 0.038 point reduction (SE = 0.0023). CONCLUSIONS: AUD's association with diminished HRQoL may be explained in large part by the presence of co-occurring conditions among individuals reporting AUD, as these co-occurring conditions are associated with substantial decrements in HRQoL-often eclipsing the magnitude of the decrements associated with AUD alone. Alcohol use interventions endeavoring to improve HRQoL should consider the entirety of an individual to design patient-centered care.

The "Outcome Reporting in Brief Intervention Trials: Alcohol" (ORBITAL) Core Outcome Set: International Consensus on Outcomes to Measure in Efficacy and Effectiveness Trials of Alcohol Brief Interventions.

OBJECTIVE: The purpose of this study was to report the "Outcome Reporting in Brief Intervention Trials: Alcohol" (ORBITAL) recommended core outcome set (COS) to improve efficacy and effectiveness trials/evaluations for alcohol brief interventions (ABIs). METHOD: A systematic review identified 2,641 outcomes in 401 ABI articles measured by 1,560 different approaches. These outcomes were classified into outcome categories, and 150 participants from 19 countries participated in a two-round e-Delphi outcome prioritization exercise. This process prioritized 15 of 93 outcome categories for discussion at a consensus meeting of key stakeholders to decide the COS. A psychometric evaluation determined how to measure the outcomes. RESULTS: Ten outcomes were voted into the COS at the consensus meeting: (a) typical frequency, (b) typical quantity, (c) frequency of heavy episodic drinking, (d) combined consumption measure summarizing alcohol use, (e) hazardous or harmful drinking (average consumption), (f) standard drinks consumed in the past week (recent, current consumption), (g) alcohol-related consequences, (h) alcohol-related injury, (i) use of emergency health care services (impact of alcohol use), and (j) quality of life. CONCLUSIONS: The ORBITAL COS is an international consensus standard for future ABI trials and evaluations. It can improve the synthesis of new findings, reduce redundant/selective reporting (i.e., reporting only some, usually significant outcomes), improve between-study comparisons, and enhance the relevance of trial and evaluation findings to decision makers. The COS is the recommended minimum and does not exclude other, additional outcomes.

The effect of alcohol treatment on social costs of alcohol dependence: results from the COMBINE study.

BACKGROUND: The COMBINE (combined pharmacotherapies and behavioral intervention) clinical trial recently evaluated the efficacy of pharmacotherapies, behavioral therapies, and their combinations for the treatment of alcohol dependence. Previously, the cost and cost-effectiveness of COMBINE have been studied. Policy makers, patients, and nonalcohol-dependent individuals may be concerned not only with alcohol treatment costs but also with the effect of alcohol interventions on broader social costs and outcomes. OBJECTIVES: To estimate the sum of treatment costs plus the costs of health care utilization, arrests, and motor vehicle accidents for the 9 treatments in COMBINE 3 years postrandomization. RESEARCH DESIGN: A cost study based on a randomized controlled clinical trial. SUBJECTS: : The study involved 786 participants 3 years postrandomization. RESULTS: Multivariate results show no significant differences in mean costs between any of the treatment arms as compared with medical management (MM) + placebo for the 3-year postrandomization sample. The median costs of MM + acamprosate, MM + naltrexone, MM + acamprosate + naltrexone, and MM + acamprosate + combined behavioral intervention were significantly lower than the median cost for MM + placebo. CONCLUSIONS: The results show that social cost savings are generated relative to MM + placebo by 3 years postrandomization, and the magnitude of these cost savings is greater than the costs of the COMBINE treatment received 3 years prior. Our study suggests that several alcohol treatments may indeed lead to reduced median social costs associated with health care, arrests, and motor vehicle accidents.

Revisiting the cost-effectiveness of the COMBINE study for alcohol dependent patients: the patient perspective.

OBJECTIVE: Most cost and cost-effectiveness studies of substance abuse treatments focus on the costs to the provider/payer. Although this perspective is important, the costs incurred by patients should also be considered when evaluating treatment. This article presents estimates of patients' costs associated with the Combined Pharmacotherapies and Behavioral Interventions (COMBINE) alcohol treatments and evaluates the treatments' cost-effectiveness from the patient perspective. STUDY DESIGN: A prospective cost-effectiveness study of patients in COMBINE, a randomized controlled clinical trial of 9 alternative alcohol treatment regimens involving 1383 patients with diagnoses of primary alcohol dependence across 11 US clinic sites. We followed a microcosting approach that allowed estimation of patients' costs for specific COMBINE treatment activities. The primary clinical outcomes from COMBINE are used as indicators of treatment effectiveness. RESULTS: The average total patient time devoted to treatment ranged from about 30 hours to 46 hours. Time spent traveling to and from treatment sessions and participation in self-help meetings accounted for the largest portion of patient time costs. The cost-effectiveness results indicate that 6 of the 9 treatments were economically dominated and only 3 treatments are potentially cost-effective depending on patient's willingness to pay for the considered outcomes: medical management (MM) + placebo, MM + naltrexone, and MM + naltrexone + acamprosate. CONCLUSIONS: Few studies consider the patient's perspective in estimating costs and cost-effectiveness even though these costs may have a substantial impact on a patient's treatment choice, ability to access treatment, or treatment adherence. For this study, the choice of the most cost-effective treatment depends on the value placed on the outcomes by the patient, and the conclusions drawn by the patient may differ from that of the provider/payer.

Implementation science on the margins: How do we demonstrate the value of implementation strategies?

Implementation science (IS) has developed as a field to assess effective ways to implement and disseminate evidence-based practices. Although the size and rigor of the field has improved, the economic evaluation of implementation strategies has lagged behind other areas of IS (Roberts, Healey, & Sevdalis, 2019). Beyond demonstrating the effectiveness of implementation strategies, there needs to be evidence that investments in these strategies are efficient or financially sustainable. In this editorial, we lay out conceptual challenges in applying economic evaluation to IS and the implications for conducting economic analyses in integrated primary care research. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

You save money when you buy in bulk: does volume-based pricing cause people to buy more beer?

This paper uses supermarket scanner data to estimate brand- and packaging-specific own- and cross-price elasticities for beer. We find that brand- and packaging-specific beer sales are highly price elastic. Cross-price elasticity estimates suggest that individuals are more likely to buy a higher-volume package of the same brand of beer than they are to switch brands. Policy simulations suggest that regulation of volume-based price discounts is potentially more effective than a tax increase at reducing beer consumption. Our results suggest that volume-based price discounting induces people to buy larger-volume packages of beer and may lead to an increased overall beer consumption.

Prioritization of Outcomes in Efficacy and Effectiveness of Alcohol Brief Intervention Trials: International Multi-Stakeholder e-Delphi Consensus Study to Inform a Core Outcome Set.

OBJECTIVE: Outcomes used in alcohol brief intervention trials vary considerably. Achieving consensus about key outcomes can enhance evidence synthesis and improve healthcare guidelines. This international, e-Delphi study sought to prioritize outcomes for alcohol brief intervention trials as part of a larger program of work develop an alcohol brief intervention core outcome set. METHOD: In total, 150 registrants from 19 countries, representing researchers, policymakers, and patients, participated in a two-round e-Delphi study. In Round 1, participants (n = 137) rated 86 outcomes, derived from a review of the literature and a patient and public involvement panel, by importance. In Round 2, participants (n = 114) received feedback on importance ratings for each outcome, and a reminder of their personal rating, before rating the outcomes for importance a second time. Seven additional outcomes suggested in Round 1 were added to the Round 2 questionnaire. We defined consensus a priori as 70% agreement across all stakeholder groups. RESULTS: Seven consumption outcomes met inclusion criteria: typical frequency, typical quantity, frequency of heavy drinking, alcohol-related problems, weekly drinks, at-risk drinking, and combined consumption measures. Others meeting the threshold were alcohol-related injury, quality of life, readiness to change, and intervention fidelity. CONCLUSIONS: This is the first international e-Delphi study to identify and prioritize outcomes for use in alcohol brief intervention trials. The use and reporting of outcomes in future alcohol brief intervention trials should improve evidence synthesis in systematic reviews and meta-analyses. Further work is required to refine these outcomes into a core outcome set that includes guidance for measurement of outcomes.