Monetary conversion factors for economic evaluations of substance use disorders

Health care use and cost of treatment for adolescents and young adults with opioid use disorder

BACKGROUND

Few studies have examined the cost of medication for opioid use disorder (MOUD) with counseling for the adolescent and young adult population. This study calculated the health care utilization and cost of MOUD treatment, other substance use disorder treatment, and general health care for adolescents and young adults receiving treatment for opioid use disorder.

METHODS

The study randomized youth ages 15 to 21 (N = 288) equally into the two study conditions: extended-release naltrexone (XR-NTX) or treatment as usual (TAU). While participants committed to treatment based on randomization the study observed considerable nonadherence to both randomized conditions. Instead of using the randomly assigned study conditions, we present descriptive costs by the type of MOUD treatment received: XR-NTX only, buprenorphine only, any other combination of MOUD treatments, and no MOUD. Health care use was aggregated over the 6-month period for each participant, and we calculated average/participant utilization for each treatment group. To determine participant costs, we multiplied the unit costs of health care services obtained from the literature by the reported amount of health care utilization for each participant. We then calculated the mean, standard error, median and IQR for MOUD costs, other substance use disorder treatment costs and general healthcare cost from the health care sector perspective.

RESULTS

On average, participants in the XR-NTX only group received 2.6 doses of XR-NTX (equivalent to approximately 78 days of treatment). The buprenorphine only group had an average of 97 days of buprenorphine treatment. The XR-NTX only group had higher/patient costs compared to participants in the buprenorphine only group ($10,491 vs. $8765) and higher XR-NTX utilization would further increase costs. Participants in the any other MOUD combination group had the highest total costs ($14,627) while participants in the no MOUD group at the lowest ($3453).

DISCUSSION

Our cost analysis calculates the real-world cost of MOUD treatment and, while not generalizable, provides policy makers an estimate of costs for adolescents and young adults. We found that participants in the XR-NTX only group received fewer days of medication compared to the buprenorphine only group, but their medication costs were higher due to the cost of XR-NTX injections. While the buprenorphine only group had the highest number of days of medication utilization of all the groups, the average number of days of medication utilization was considerably shorter than the six-month treatment period.

Cost and cost-effectiveness of abstinence contingent wage supplements

BACKGROUND

Substance use disorders are correlated with unemployment and poverty. However, few interventions aim to improve substance use, unemployment, and, distally, poverty. The Abstinence-Contingent Wage Supplement (ACWS) randomized controlled trial combined a therapeutic workplace with abstinence-contingent wage supplements to address substance use and unemployment. The ACWS study found that abstinence-contingent wage supplements increased the percentage of participants who had negative drug tests, who were employed, and who were above the poverty line during the intervention period. This study presents the cost of ACWS and calculates the cost-effectiveness of ACWS compared with usual care.

METHODS

To calculate the cost and cost-effectiveness of ACWS, we used activity-based costing methods to cost the intervention and calculated the costs from the provider and healthcare sector perspective. We calculated incremental cost-effectiveness ratios and cost-effectiveness acceptability curves for negative drug tests and employment.

RESULTS

ACWS cost $11,310 per participant over the 12-month intervention period. Total intervention and healthcare costs per participant over the intervention period were $20,625 for usual care and $30,686 for ACWS. At the end of the intervention period an additional participant with a negative drug test cost $1437 while an additional participant employed cost $915.

CONCLUSIONS

ACWS increases drug abstinence and employment and may be cost-effective at the end of the 12-month intervention period if decision makers are willing to pay the incremental cost associated with the intervention.

Cost and Cost Savings of Navigation Services to Avoid Rehospitalization for a Comorbid Substance Use Disorder Population

BACKGROUND

A randomized clinical trial found that patient navigation for hospital patients with comorbid substance use disorders (SUDs) reduced emergency department (ED) and inpatient hospital utilization compared with treatment-as-usual.

OBJECTIVE

To compare the cost and calculate any cost savings from the Navigation Services to Avoid Rehospitalization (NavSTAR) intervention over treatment-as-usual.

RESEARCH DESIGN

This study calculates activity-based costs from the health care providers and uses a net benefits approach to calculate the cost savings generated from NavSTAR. NavSTAR provided patient navigation focused on engagement in SUD treatment, starting before hospital discharge and continuing for up to 3 months postdischarge.

SUBJECTS

Adult hospitalized medical/surgical patients with comorbid SUD for opioids, cocaine, and/or alcohol.

COST MEASURES

Cost of the 3-month NavSTAR patient navigation intervention and the cost of all inpatient days and ED visits over a 12-month period.

RESULTS OF BASE CASE ANALYSIS

NavSTAR generated $17,780 per participant in cost savings. Ninety-seven percent of bootstrapped samples generated positive cost savings, and our sensitivity analyses did not change our results.

LIMITATIONS

Participants were recruited at one hospital in Baltimore, MD through the hospital's addiction consultation service. Findings may not generalize to the broader population. Outpatient health care cost data was not available through administrative records.

CONCLUSION

Our findings show that patient navigation interventions should be considered by payors and policy makers to reduce the high hospital costs associated with comorbid SUD patients.

Cost and Cost-Effectiveness of Incentives for Viral Suppression in People Living with HIV

Only 63% of people living with HIV in the United States are achieving viral suppression. Structural and social barriers limit adherence to antiretroviral therapy which furthers the HIV epidemic while increasing health care costs. This study calculated the cost and cost-effectiveness of a contingency management intervention with cash incentives. People with HIV and detectable viral loads were randomized to usual care or an incentive group. Individuals could earn up to $3650 per year if they achieved and maintained an undetectable viral load. The average 1-year intervention cost, including incentives, was $4105 per patient. The average health care costs were $27,189 per patient in usual care and $35,853 per patient in the incentive group. We estimated a cost of $28,888 per quality-adjusted life-year (QALY) gained, which is well below accepted cost-per-QALY thresholds. Contingency management with cash incentives is a cost-effective intervention for significantly increasing viral suppression.

Five-year budget impact of a prescription digital therapeutic for patients with opioid use disorder

BACKGROUND

Opioid use disorder (OUD) is associated with high healthcare resource utilization (HCRU) and costs. reSET-O is an FDA-cleared prescription digital therapeutic that delivers neurobehavioral therapy as an adjunct to treatment-as-usual (TAU; buprenorphine, face-to-face counseling, and contingency management).

METHODS

A budget impact model was developed to evaluate reSET-O as an adjunct to TAU in OUD for a 1 million-member US mixed health plan over a 5-year time horizon. Model inputs included treatment costs and medical costs of hospitalizations, partial hospitalizations, intensive care unit stays, and emergency department visits.

RESULTS

The base-case results and the alternative scenario analysis showed the addition of reSET-O was projected to result in consistently lower total yearly costs vs TAU and no treatment. The estimated total and per member per month (PMPM) budget impact over 5 years was -$763,026 and -$0.0116, respectively. When the upper range of cost estimates was used, the total and PMPM budget impacts over 5 years were -$2,481,563 and -$0.0378, respectively. Sensitivity analysis showed results were most sensitive to the proportion of patients untreated.

CONCLUSION

The introduction of reSET-O in addition to TAU for OUD has the potential to reduce healthcare resource utilization and costs from 12 weeks up to 5 years.

Harmonizing healthcare and other resource measures for evaluating economic costs in substance use disorder research

BACKGROUND

Standardization and harmonization of healthcare resource utilization data can improve evaluations of the economic impact of treating people with substance use disorder (SUD), including reductions in use of expensive hospital and emergency department (ED) services, and can ensure consistency with current cost-effectiveness and cost-benefit analysis guidelines.

METHODS

We examined self-reported healthcare and other resource utilization data collected at baseline from three National Institute on Drug Abuse (NIDA)-funded Seek, Test, Treat, and Retain intervention studies of individuals living with/at risk for HIV with SUD. Costs were calculated by multiplying mean healthcare resource utilization measures by monetary conversion factors reflecting cost per unit of care. We normalized baseline recall timeframes to past 30 days and evaluated for missing data.

RESULTS

We identified measures that are feasible and appropriate for estimating healthcare sector costs including ED visits, inpatient hospital and residential facility stays, and outpatient encounters. We also identified two self-reported measures to inform societal costs (days experiencing SUD problems, participant spending on substances). Missingness was 8% or less for all study measures and was lower for single questions measuring utilization in a recall period.

CONCLUSIONS

We recommend including measures representing units of service with specific recall periods (e.g., 6 months vs. lifetime), and collecting healthcare resource utilization data using single-question measures to reduce missingness.

Massachusetts Justice Community Opioid Innovation Network (MassJCOIN)

A major driver of the U.S. opioid crisis is limited access to effective medications for opioid use disorder (MOUD) that reduce overdose risks. Traditionally, jails and prisons in the U.S. have not initiated or maintained MOUD for incarcerated individuals with OUD prior to their return to the community, which places them at high risk for fatal overdose. A 2018 law (Chapter 208) made Massachusetts (MA) the first state to mandate that five county jails deliver all FDA-approved MOUDs (naltrexone [NTX], buprenorphine [BUP], and methadone). Chapter 208 established a 4-year pilot program to expand access to all FDA-approved forms of MOUD at five jails, with two more MA jails voluntarily joining this initiative. The law stipulates that MOUD be continued for individuals receiving it prior to detention and be initiated prior to release among sentenced individuals where appropriate. The jails must also facilitate continuation of MOUD in the community on release. The Massachusetts Justice Community Opioid Innovation Network (MassJCOIN) partnered with these seven diverse jails, the MA Department of Public Health, and community treatment providers to conduct a Type 1 hybrid effectiveness-implementation study of Chapter 208. We will: (1) Perform a longitudinal treatment outcome study among incarcerated individuals with OUD who receive NTX, BUP, methadone, or no MOUD in jail to examine postrelease MOUD initiation, engagement, and retention, as well as fatal and nonfatal opioid overdose and recidivism; (2) Conduct an implementation study to understand systemic and contextual factors that facilitate and impede delivery of MOUDs in jail and community care coordination, and strategies that optimize MOUD delivery in jail and for coordinating care with community partners; (3) Calculate the cost to the correctional system of implementing MOUD in jail, and conduct an economic evaluation from state policy-maker and societal perspectives to compare the value of MOUD prior to release from jail to no MOUD among matched controls. MassJCOIN made significant progress during its first six months until the COVID-19 pandemic began in March 2020. Participating jail sites restricted access for nonessential personnel, established other COVID-19 mitigation policies, and modified MOUD programming. MassJCOIN adapted research activities to this new reality in an effort to document and account for the impacts of COVID-19 in relation to each aim. The goal remains to produce findings with direct implications for policy and practice for OUD in criminal justice settings.

Cost-effectiveness of Hepatitis C Virus Treatment Models for People Who Inject Drugs in Opioid Agonist Treatment Programs

BACKGROUND

Many people who inject drugs in the United States have chronic hepatitis C virus (HCV). On-site treatment in opiate agonist treatment (OAT) programs addresses HCV treatment barriers, but few evidence-based models exist.

METHODS

We evaluated the cost-effectiveness of HCV treatment models for OAT patients using data from a randomized trial conducted in Bronx, New York. We used a decision analytic model to compare self-administered individual treatment (SIT), group treatment (GT), directly observed therapy (DOT), and no intervention for a simulated cohort with the same demographic characteristics of trial participants. We projected long-term outcomes using an established model of HCV disease progression and treatment (hepatitis C cost-effectiveness model: HEP-CE). Incremental cost-effectiveness ratios (ICERs) are reported in 2016 US$/quality-adjusted life years (QALY), discounted 3% annually, from the healthcare sector and societal perspectives.

RESULTS

For those assigned to SIT, we projected 89% would ever achieve a sustained viral response (SVR), with 7.21 QALYs and a $245 500 lifetime cost, compared to 22% achieving SVR, with 5.49 QALYs and a $161 300 lifetime cost, with no intervention. GT was more efficient than SIT, resulting in 0.33 additional QALYs and a $14 100 lower lifetime cost per person, with an ICER of $34 300/QALY, compared to no intervention. DOT was slightly more effective and costly than GT, with an ICER > $100 000/QALY, compared to GT. In probabilistic sensitivity analyses, GT and DOT were preferred in 91% of simulations at a threshold of <$100 000/QALY; conclusions were similar from the societal perspective.

CONCLUSIONS

All models were associated with high rates of achieving SVR, compared to standard care. GT and DOT treatment models should be considered as cost-effective alternatives to SIT.

Economic modeling of reSET-O, a prescription digital therapeutic for patients with opioid use disorder

AIMS

reSET-O is a Food and Drug Administration-cleared prescription digital therapeutic (PDT) indicated to improve outpatient-treatment retention of patients with opioid use disorder (OUD). This study examined the cost-effectiveness and budget impact of reSET-O in conjunction with treatment as usual (reSET-O + TAU) relative to TAU.

MATERIALS AND METHODS

Adult patients with ≥1 OUD diagnosis, treated with buprenorphine from 1 January 2015 to 30 March 2018, were identified from Truven Health MarketScan Commercial and Medicare Supplemental Research Databases. Twelve-week healthcare resource utilization (HCRU) costs for patients categorized as adherent and nonadherent to buprenorphine treatment were estimated. Total 12-week costs included OUD treatment and other HCRU costs. The cost-effectiveness of reSET-O + TAU was modeled in accordance with prior clinical trial outcomes. The 12-week budget impact of reSET-O was modeled for a 1 million-member healthcare plan.

RESULTS

Higher buprenorphine adherence was associated with lower HCRU costs in claims data. Twelve-week per-patient total costs were $305 more for those receiving reSET-O + TAU than those receiving TAU. The incremental cost-effectiveness ratio was $18.70 per 1 percentage-point increase in the treatment retention rate. The probability that reSET-O + TAU would be considered cost-effective was over 92% for willingness-to-pay thresholds of $6,000 or more. The 12-week budget impact of reSET-O was $8,908, translating to $0.003 per member per month.

LIMITATIONS

The findings of the cost-effectiveness and budget impact modeling are limited by the assumptions of the models due to uncertainty around some inputs. While no model is free of bias, the inputs for this model were carefully selected to reflect contemporary treatment patterns.

CONCLUSIONS

Depending on the payer's willingness to pay, reSET-O may be cost-effective in increasing buprenorphine treatment retention rates. reSET-O results in an approximate budget impact of $0.003 per member per month, depending on market share and the prevalence of the population receiving treatment for OUD.

Complementary and Alternative Medicine for Substance Use Disorders: A Scientometric Analysis and Visualization of Its Use Between 2001 and 2020

Background: This study aimed to identify frontiers for further studies via brief understanding in complementary and alternative medicine (CAM) for substance use disorders (SUDs). Materials and Methods: Publications on the use of CAM for treating SUDs were retrieved from the Web of Science Core Collection from 2001 to 2020 on July 12, 2020, and visualized by CiteSpace V. Results: A total of 3,807 publications were obtained. The USA, China, and England were the leading research centers. However, India and Pakistan have recently focused on assessing CAM for the treatment of SUDs. Frederick L Altice was found to be the most productive author. Addiction ranked first among the frequently cited journals, which exceeded 1,000. The most common CAM therapies were acupuncture and CAM psychotherapies, such as mindfulness meditation. Conclusion: CAM is gaining attention globally for treating SUDs. CAM psychotherapy and acupuncture are hotspots and deserve further study. Researchers should strengthen peer cooperation in this field.

Improving retention across the OUD service cascade upon reentry from jail using Recovery Management Checkups-Adaptive (RMC-A) experiment

Incarcerated individuals with opioid use disorders (OUD) should be linked to community-based treatment with medications for opioid use disorder (MOUD) upon their release, as well as to services that provide support for their ongoing recovery. The RMC-A experiment will test an adapted version of the evidence-based Recovery Management Checkups (RMC), which provides treatment linkage, support for retention, and re-linkage as indicated at quarterly checkups. A total of 750 male and female individuals will be recruited from 5 county jails in Illinois and randomly assigned to 1 of 3 groups at release from jail: a) Monitoring and Treatment Referral (MTR); b) quarterly RMC (RMC-Q); or c) RMC-A, which adjusts the frequency and intensity of checkups based on the individual's assessed need for treatment at each checkup. Measurement includes quarterly research follow-up assessments for 2 years, urine tests, and records checks (treatment, mortality, recidivism). The study aims to evaluate: (1) the direct effects of RMC-Q/RMC-A on MOUD treatment initiation, engagement, retention, and re-linkage; (2) the indirect effects of RMC-Q/RMC-A (via months of MOUD) on public health outcomes (days of opioid use, OUD symptoms, quality of life, cost of health care utilization); (3) the indirect effects of RMC-Q/RMC-A (via months of MOUD and public health outcomes) on public safety outcomes (illegal activity, re-arrest, re-incarceration, cost of crime); and (4) the incremental costs and cost-effectiveness of MTR vs. RMC-Q vs. RMC-A on public health and public safety outcomes. This experiment will determine whether the adapted RMC model improves the overall effectiveness and cost-effectiveness of the fixed quarterly RMC.

Health economic design for cost, cost-effectiveness and simulation analyses in the HEALing Communities Study

BACKGROUND

The HEALing Communities Study (HCS) is designed to implement and evaluate the Communities That HEAL (CTH) intervention, a conceptually driven framework to assist communities in selecting and adopting evidence-based practices to reduce opioid overdose deaths. The goal of the HCS is to produce generalizable information for policy makers and community stakeholders seeking to implement CTH or a similar community intervention. To support this objective, one aim of the HCS is a health economics study (HES), the results of which will inform decisions around fiscal feasibility and sustainability relevant to other community settings.

METHODS

The HES is integrated into the HCS design: an unblinded, multisite, parallel arm, cluster randomized, wait list-controlled trial of the CTH intervention implemented in 67 communities in four U.S. states: Kentucky, Massachusetts, New York, and Ohio. The objectives of the HES are to estimate the economic costs to communities of implementing and sustaining CTH; estimate broader societal costs associated with CTH; estimate the cost-effectiveness of CTH for overdose deaths avoided; and use simulation modeling to evaluate the short- and long-term health and economic impact of CTH, including future overdose deaths avoided and quality-adjusted life years saved, and to develop a simulation policy tool for communities that seek to implement CTH or a similar community intervention.

DISCUSSION

The HCS offers an unprecedented opportunity to conduct health economics research on solutions to the opioid crisis and to increase understanding of the impact and value of complex, community-level interventions.

Cost and cost-effectiveness of interim methadone treatment and patient navigation initiated in jail

BACKGROUND

Individuals with opioid use disorder (OUD) who are released from pre-trial detention in jail have a high risk of opioid relapse. While several interventions for OUD initiated during incarceration have been studied, few have had an economic evaluation. As part of a three-group randomized trial, we estimated the cost and cost-effectiveness of a negative urine opioid test. Detainees were assigned to interim methadone (IM) in jail with continued methadone treatment post-release with and without 3 months of post-release patient navigation (PN) compared to an enhanced treatment-as-usual group.

METHODS

We implemented a micro-costing approach from the provider's perspective to estimate the cost per participant in jail and over the 12 months post-release from jail. Economic data included jail-based and community-based service utilization, self-reported healthcare utilization and justice system involvement, and administrative arrest records. Our outcome measure is the number of participants with a negative opioid urine test at their 12-month follow-up. We calculated incremental cost-effectiveness ratios (ICERs) for intervention costs only and costs from a societal perspective.

RESULTS

The average cost of providing patient navigation services per individual beginning in jail and continuing in the community was $283. We find that IM is dominated by ETAU and IM + PN. Per additional participant with a negative opioid urine test, the ICER for IM + PN including intervention costs only is $91 and $305 including societal costs.

CONCLUSIONS

IM + PN is almost certainly the cost-effective choice from both an intervention provider and societal perspective.

Methadone, Buprenorphine, or Detoxification for Management of Perinatal Opioid Use Disorder: A Cost-Effectiveness Analysis

OBJECTIVE

To estimate whether methadone, buprenorphine, or detoxification treatment is the most cost-effective approach to the management of opioid use disorder (OUD) during pregnancy.

METHODS

We created a decision analytic model that compared the cost effectiveness (eg, the marginal cost of the strategy in U.S. dollars divided by the marginal effectiveness of the strategy, measured in quality-adjusted life-years [QALYs]) of initiation of methadone, buprenorphine, or detoxification in treatment of OUD during pregnancy. Probabilities, costs, and utilities were estimated from the existing literature. Incremental cost-effective ratios for each strategy were calculated, and a ratio of $100,000 per QALY was used to define cost effectiveness. One-way sensitivity analyses and a Monte Carlo probabilistic sensitivity analysis were performed.

RESULTS

Under base assumptions, initiation of buprenorphine was more effective at a lower cost than either methadone or detoxification and thus was the dominant strategy. Buprenorphine was no longer cost effective if the cost of methadone was 8% less than the base-case estimate ($1,646/month) or if the overall costs of detoxification were 121% less than the base-case estimate for the detoxification cost multiplier, which was used to increase the values of both inpatient and outpatient management of detoxification by a factor of 2. Monte Carlo analyses revealed that buprenorphine was the cost-effective strategy in 70.5% of the simulations. Direct comparison of buprenorphine with methadone demonstrated that buprenorphine was below the incremental cost-effective ratio in 95.1% of simulations; direct comparison between buprenorphine and detoxification demonstrated that buprenorphine was below the incremental cost-effective ratio in 45% of simulations.

CONCLUSION

Under most circumstances, we estimate that buprenorphine is the cost-effective strategy when compared with either methadone or detoxification as treatment for OUD during pregnancy. Nonetheless, the fact that buprenorphine was not the cost-effective strategy in almost one out of three of simulations suggests that the robustness of our model may be limited and that further evaluation of the cost-effective approach to the management of OUD during pregnancy is needed.

Navigation Services to Avoid Rehospitalization among Medical/Surgical Patients with Comorbid Substance Use Disorder: Rationale and Design of a Randomized Controlled Trial

Substance use disorders (SUDs) are associated with significant morbidity and mortality and contribute to inefficient use of healthcare services. Hospitalized medical/surgical patients with comorbid SUD are at elevated risk of hospital readmission and poor outcomes. Thus, effective interventions are needed to help such patients during hospitalization and post-discharge. This article reports the rationale, methodological design, and progress to date on a randomized trial comparing the effectiveness of Navigation Services to Avoid Rehospitalization (NavSTAR) vs Treatmentas-Usual (TAU) for hospital medical/surgical patients with comorbid SUD (N = 400). Applying Andersen’s theoretical model of health service utilization, NavSTAR employed Patient Navigation and motivational interventions to promote entry into SUD treatment, facilitate adherence to recommendations for medical follow-up and self-care, address basic needs, and prevent the recurrent use of hospital services. As part of the NavSTAR service model, Patient Navigators embedded within the SUD consultation service at a large urban hospital delivered patient-centered, proactive navigation and motivational services initiated during the hospital stay and continued for up to 3 months post-discharge. Participants randomized to TAU received usual care from the hospital and the SUD consultation service, which included referral to SUD treatment but no continued contact post-hospital discharge. Hospital service utilization will be determined via review of electronic health records and the regional Health Information Exchange. Participants were assessed at baseline and again at 3-, 6-, and 12-month follow-up on various measures of healthcare utilization, substance use, and functioning. The primary outcome of interest is time-to-rehospitalization through 12 months. In addition, a range of secondary outcomes spanning the medical and SUD service areas will be assessed. The study will include a health economic evaluation of NavSTAR. If NavSTAR proves to be effective and cost-effective in this high-risk patient group, it would have important implications for addressing the needs of hospital patients with comorbid SUD, designing hospital discharge planning services, informing cost containment initiatives, and improving public health.

Interventions for female drug-using offenders

BACKGROUND

This review represents one in a family of three reviews focusing on the effectiveness of interventions in reducing drug use and criminal activity for offenders.

OBJECTIVES

To assess the effectiveness of interventions for female drug-using offenders in reducing criminal activity, or drug use, or both.

SEARCH METHODS

We searched 12 electronic bibliographic databases up to February 2019.

SELECTION CRITERIA

We included randomised controlled trials (RCTs).

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane.

MAIN RESULTS

We included 13 trials with 2560 participants. Interventions were delivered in prison (7/13 studies, 53%) and community (6/13 studies, 47%) settings. The rating of bias was affected by the lack of clear reporting by authors, and we rated many items as 'unclear'. In two studies (190 participants) collaborative case management in comparison to treatment as usual did not reduce drug use (risk ratio (RR) 0.65, 95% confidence interval (CI) 0.20 to 2.12; 1 study, 77 participants; low-certainty evidence), reincarceration at nine months (RR 0.71, 95% CI 0.32 to 1.57; 1 study, 77 participants; low-certainty evidence), and number of subsequent arrests at 12 months (RR 1.11, 95% CI 0.83 to 1.49; 1 study, 113 participants; low-certainty evidence). One study (36 participants) comparing buprenorphine to placebo showed no significant reduction in self-reported drug use at end of treatment (RR 0.57, 95% CI 0.27 to 1.20) and three months (RR 0.58, 95% CI 0.25 to 1.35); very low-certainty evidence. No adverse events were reported. One study (38 participants) comparing interpersonal psychotherapy to a psychoeducational intervention did not find reduction in drug use at three months (RR 0.67, 95% CI 0.30 to 1.50; low-certainty evidence). One study (31 participants) comparing acceptance and commitment therapy (ACT) to a waiting list showed no significant reduction in self-reported drug use using the Addiction Severity Index (mean difference (MD) -0.04, 95% CI -0.37 to 0.29) and abstinence from drug use at six months (RR 2.89, 95% CI 0.73 to 11.43); low-certainty evidence. One study (314 participants) comparing cognitive behavioural skills to a therapeutic community programme and aftercare showed no significant reduction in self-reported drug use (RR 0.86, 95% CI 0.58 to 1.27), re-arrest for any type of crime (RR 0.73, 95% CI 0.52 to 1.03); criminal activity (RR 0.80, 95% CI 0.63 to 1.03), or drug-related crime (RR 0.95, 95% CI 0.68 to 1.32). A significant reduction for arrested (not for parole) violations at six months follow-up was significantly in favour of cognitive behavioural skills (RR 0.43, 95% CI 0.25 to 0.77; very low-certainty evidence). A second study with 115 participants comparing cognitive behavioural skills to an alternative substance abuse treatment showed no significant reduction in reincarceration at 12 months (RR 0.70, 95% CI 0.43 to 1.12; low certainty-evidence. One study (44 participants) comparing cognitive behavioural skills and standard therapy versus treatment as usual showed no significant reduction in Addiction Severity Index (ASI) drug score at three months (MD 0.02, 95% CI -0.05 to 0.09) and six months (MD -0.02, 95% CI -0.09 to 0.05), and incarceration at three months (RR 0.46, 95% CI 0.04 to 4.68) and six months (RR 0.51, 95% CI 0.20 to 1.27); very low-certainty evidence. One study (171 participants) comparing a single computerised intervention versus case management showed no significant reduction in the number of days not using drugs at three months (MD -0.89, 95% CI -4.83 to 3.05; low certainty-evidence). One study (116 participants) comparing dialectic behavioural therapy and case management (DBT-CM) versus a health promotion intervention showed no significant reduction at six months follow-up in positive drug testing (RR 0.67, 95% CI 0.43 to 1.03), number of people not using marijuana (RR 1.23, 95% CI 0.95 to 1.59), crack (RR 1.00, 95% CI 0.87 to 1.14), cocaine (RR 1.02, 95% CI 0.93 to 1.12), heroin (RR 1.05, 95% CI 0.98 to 1.13), methamphetamine (RR 1.02, 95% CI 0.87 to 1.20), and self-reported drug use for any drug (RR 1.20, 95% CI 0.92 to 1.56); very low-certainty evidence. One study (211 participants) comparing a therapeutic community programme versus work release showed no significant reduction in marijuana use at six months (RR 1.03, 95% CI 0.19 to 5.65), nor 18 months (RR 1.00, 95% CI 0.07 to 14.45), heroin use at six months (RR 1.59, 95% CI 0.49 to 5.14), nor 18 months (RR 1.92, 95% CI 0.24 to 15.37), crack use at six months (RR 2.07, 95% CI 0.41 to 10.41), nor 18 months (RR 1.64, 95% CI 0.19 to 14.06), cocaine use at six months (RR 1.09, 95% CI 0.79 to 1.50), nor 18 months (RR 0.93, 95% CI 0.64 to 1.35). It also showed no significant reduction in incarceration for drug offences at 18 months (RR 1.45, 95% CI 0.87 to 2.42); with overall very low- to low-certainty evidence. One study (511 participants) comparing intensive discharge planning and case management versus prison only showed no significant reduction in use of marijuana (RR 0.79, 95% CI 0.53 to 1.16), hard drugs (RR 1.12, 95% CI 0.88 to 1.43), crack cocaine (RR 1.08, 95% CI 0.75 to 1.54), nor positive hair testing for marijuana (RR 0.75, 95% CI 0.55 to 1.03); it found a significant reduction in arrests (RR 0.19, 95% CI 0.04 to 0.87), but no significant reduction in drug charges (RR 1.07, 95% CI 0.75 to 1.53) nor incarceration (RR 1.09, 95% CI 0.86 to 1.39); moderate-certainty evidence. One narrative study summary (211 participants) comparing buprenorphine pre- and post-release from prison showed no significant reduction in drug use at 12 months post-release; low certainty-evidence. No adverse effects were reported.

AUTHORS' CONCLUSIONS

The studies showed a high degree of heterogeneity for types of comparisons, outcome measures and small samples. Descriptions of treatment modalities are required. On one outcome of arrest (no parole violations), we identified a significant reduction when cognitive behavioural therapy (CBT) was compared to a therapeutic community programme. But for all other outcomes, none of the interventions were effective. Larger trials are required to increase the precision of confidence about the certainty of evidence.

The Value of High School Graduation in the United States: Per-Person Shadow Price Estimates for Use in Cost–Benefit Analysis

One way for jurisdictions with limited analytic resources to increase their capability for doing cost–benefit analysis (CBA) is to use existing shadow prices, or “plug-ins”, for important social impacts. This article contributes to the further development of one important shadow price: the value of an additional high school graduation in the United States. Specifically, how valuable to a student, government, and the rest of society in aggregate is a high school graduation? The analysis builds on the method developed by the Washington State Institute for Public Policy and presents numerical updates and extensions to their analysis. For the U.S., the estimated net present value (the social value) using a 3 percent real discount rate of this shadow price is approximately $300,000 per each additional graduate. In appropriate circumstances, this value can be “plugged-in” to CBAs of policies that either directly or indirectly seeks to increase the number of students who graduate from high school.

Interventions for drug-using offenders with co-occurring mental health problems

BACKGROUND

This review represents one from a family of three reviews focusing on interventions for drug-using offenders. Many people under the care of the criminal justice system have co-occurring mental health problems and drug misuse problems; it is important to identify the most effective treatments for this vulnerable population.

OBJECTIVES

To assess the effectiveness of interventions for drug-using offenders with co-occurring mental health problems in reducing criminal activity or drug use, or both.This review addresses the following questions.• Does any treatment for drug-using offenders with co-occurring mental health problems reduce drug use?• Does any treatment for drug-using offenders with co-occurring mental health problems reduce criminal activity?• Does the treatment setting (court, community, prison/secure establishment) affect intervention outcome(s)?• Does the type of treatment affect treatment outcome(s)?

SEARCH METHODS

We searched 12 databases up to February 2019 and checked the reference lists of included studies. We contacted experts in the field for further information.

SELECTION CRITERIA

We included randomised controlled trials designed to prevent relapse of drug use and/or criminal activity among drug-using offenders with co-occurring mental health problems.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures as expected by Cochrane .

MAIN RESULTS

We included 13 studies with a total of 2606 participants. Interventions were delivered in prison (eight studies; 61%), in court (two studies; 15%), in the community (two studies; 15%), or at a medium secure hospital (one study; 8%). Main sources of bias were unclear risk of selection bias and high risk of detection bias.Four studies compared a therapeutic community intervention versus (1) treatment as usual (two studies; 266 participants), providing moderate-certainty evidence that participants who received the intervention were less likely to be involved in subsequent criminal activity (risk ratio (RR) 0.67, 95% confidence interval (CI) 0.53 to 0.84) or returned to prison (RR 0.40, 95% CI 0.24 to 0.67); (2) a cognitive-behavioural therapy (one study; 314 participants), reporting no significant reduction in self-reported drug use (RR 0.78, 95% CI 0.46 to 1.32), re-arrest for any type of crime (RR 0.69, 95% CI 0.44 to 1.09), criminal activity (RR 0.74, 95% CI 0.52 to 1.05), or drug-related crime (RR 0.87, 95% CI 0.56 to 1.36), yielding low-certainty evidence; and (3) a waiting list control (one study; 478 participants), showing a significant reduction in return to prison for those people engaging in the therapeutic community (RR 0.60, 95% CI 0.46 to 0.79), providing moderate-certainty evidence.One study (235 participants) compared a mental health treatment court with an assertive case management model versus treatment as usual, showing no significant reduction at 12 months' follow-up on an Addictive Severity Index (ASI) self-report of drug use (mean difference (MD) 0.00, 95% CI -0.03 to 0.03), conviction for a new crime (RR 1.05, 95% CI 0.90 to 1.22), or re-incarceration to jail (RR 0.79, 95% CI 0.62 to 1.01), providing low-certainty evidence.Four studies compared motivational interviewing/mindfulness and cognitive skills with relaxation therapy (one study), a waiting list control (one study), or treatment as usual (two studies). In comparison to relaxation training, one study reported narrative information on marijuana use at three-month follow-up assessment. Researchers reported a main effect < .007 with participants in the motivational interviewing group, showing fewer problems than participants in the relaxation training group, with moderate-certainty evidence. In comparison to a waiting list control, one study reported no significant reduction in self-reported drug use based on the ASI (MD -0.04, 95% CI -0.37 to 0.29) and on abstinence from drug use (RR 2.89, 95% CI 0.73 to 11.43), presenting low-certainty evidence at six months (31 participants). In comparison to treatment as usual, two studies (with 40 participants) found no significant reduction in frequency of marijuana use at three months post release (MD -1.05, 95% CI -2.39 to 0.29) nor time to first arrest (MD 0.87, 95% CI -0.12 to 1.86), along with a small reduction in frequency of re-arrest (MD -0.66, 95% CI -1.31 to -0.01) up to 36 months, yielding low-certainty evidence; the other study with 80 participants found no significant reduction in positive drug screens at 12 months (MD -0.7, 95% CI -3.5 to 2.1), providing very low-certainty evidence.Two studies reported on the use of multi-systemic therapy involving juveniles and families versus treatment as usual and adolescent substance abuse therapy. In comparing treatment as usual, researchers found no significant reduction up to seven months in drug dependence on the Drug Use Disorders Identification Test (DUDIT) score (MD -0.22, 95% CI -2.51 to 2.07) nor in arrests (RR 0.97, 95% CI 0.70 to 1.36), providing low-certainty evidence (156 participants). In comparison to an adolescent substance abuse therapy, one study (112 participants) found significant reduction in re-arrests up to 24 months (MD 0.24, 95% CI 0.76 to 0.28), based on low-certainty evidence.One study (38 participants) reported on the use of interpersonal psychotherapy in comparison to a psychoeducational intervention. Investigators found no significant reduction in self-reported drug use at three months (RR 0.67, 95% CI 0.30 to 1.50), providing very low-certainty evidence. The final study (29 participants) compared legal defence service and wrap-around social work services versus legal defence service only and found no significant reductions in the number of new offences committed at 12 months (RR 0.64, 95% CI 0.07 to 6.01), yielding very low-certainty evidence.

AUTHORS' CONCLUSIONS

Therapeutic community interventions and mental health treatment courts may help people to reduce subsequent drug use and/or criminal activity. For other interventions such as interpersonal psychotherapy, multi-systemic therapy, legal defence wrap-around services, and motivational interviewing, the evidence is more uncertain. Studies showed a high degree of variation, warranting a degree of caution in interpreting the magnitude of effect and the direction of benefit for treatment outcomes.

Motivation to Change and Treatment Participation Among Syringe Service Program Utilizers in Rural Kentucky

PURPOSE

Kentucky experiences a disproportionate burden of substance use disorder (SUD), particularly in rural areas of the state. Multiple factors increase vulnerability to SUD and limit access to services in rural communities. However, the recent implementation and expansion of syringe service programs (SSPs) in rural Kentucky may provide a leverage point to reach at-risk people who inject drugs (PWID).

METHODS

Data were collected as part of an ongoing NIDA-funded study designed to examine uptake of SSPs among PWID in Appalachian Kentucky. Using Respondent Driven Sampling (RDS), the study enrolled a sample of 186 PWID SSP attenders across 3 rural Appalachian Kentucky counties and conducted face-to-face interviews regarding health behaviors, injecting practices, SSP utilization, and treatment services. Using logistic regression analyses, we examined consistent SSP use, as well as importance and confidence to reduce substance use as predictors of current treatment participation.

FINDINGS

For the prior 6 months, 44.6% of the sample reported consistent SSP use. Consistent use of SSPs was associated with treatment participation in the unadjusted logistic regression models. Significant predictors of treatment participation in the adjusted model included high confidence to reduce substance use, and not reporting primary methamphetamine injection.

CONCLUSIONS

Rurally located SSPs may play an important role in supporting confidence and motivation to change substance use behaviors among PWID impacted by SUD. SSPs may be critical venues for integration and expansion of prevention, health promotion, and treatment linkage services for this underserved population.

Heterogeneity in the costs of medical care among people living with HIV/AIDS in the United States

OBJECTIVE

The costs of medical care for people with HIV/AIDS (PWH) vary substantially across demographic groups, stages of disease progression and regionally across the United States. We aimed to estimate medical costs for PWH and examine the heterogeneity in costs within key patient groups typically distinguished in cost-effectiveness analyses.

DESIGN

Retrospective cohort study using health administrative databases for diagnosed PWH in care at 17 HIV Research Network sites across the United States.

METHODS

We estimated mean quarterly costs for key patient groups using multivariable generalized linear mixed effects models. We used quantile regression to highlight differences in the effect of covariates within each patient group (difference between covariate estimates at the mean versus the 90th percentile of quarterly costs), identifying covariates with a larger effect among the highest cost PWH, or generating greater uncertainty in mean cost estimates.

RESULTS

Our sample included 40 022 patients with a median age of 39 years. Mean quarterly costs were highest for people who inject drugs with advanced disease progression and for PWH on antiretroviral treatment (ART). Within patient groups, we found the most heterogeneity at different levels of resource use for PWH on ART and PWH off ART with CD4 cell counts less than 200 cells/μl, people who inject drugs, as well as PWH in the South.

CONCLUSION

The study quantifies heterogeneity in costs both across and within key PWH patient groups. Our results highlight the need for sensitivity analysis on cost estimates and may inform decisions on model structure in cost-effectiveness analyses on HIV/AIDS treatment and prevention strategies.

Developing a dynamic HIV transmission model for 6 U.S. cities: An evidence synthesis

BACKGROUND

Dynamic HIV transmission models can provide evidence-based guidance on optimal combination implementation strategies to treat and prevent HIV/AIDS. However, these models can be extremely data intensive, and the availability of good-quality data characterizing regional microepidemics varies substantially within and across countries. We aim to provide a comprehensive and transparent description of an evidence synthesis process and reporting framework employed to populate and calibrate a dynamic, compartmental HIV transmission model for six US cities.

METHODS

We executed a mixed-method evidence synthesis strategy to populate model parameters in six categories: (i) initial HIV-negative and HIV-infected populations; (ii) parameters used to calculate the probability of HIV transmission; (iii) screening, diagnosis, treatment and HIV disease progression; (iv) HIV prevention programs; (v) the costs of medical care; and (vi) health utility weights for each stage of HIV disease progression. We identified parameters that required city-specific data and stratification by gender, risk group and race/ethnicity a priori and sought out databases for primary analysis to augment our evidence synthesis. We ranked the quality of each parameter using context- and domain-specific criteria and verified sources and assumptions with our scientific advisory committee.

FINDINGS

To inform the 1,667 parameters needed to populate our model, we synthesized evidence from 59 peer-reviewed publications and 24 public health and surveillance reports and executed primary analyses using 11 data sets. Of these 1,667 parameters, 1,517 (91%) were city-specific and 150 (9%) were common for all cities. Notably, 1,074 (64%), 201 (12%) and 312 (19%) parameters corresponded to categories (i), (ii) and (iii), respectively. Parameters ranked as best- to moderate-quality evidence comprised 39% of the common parameters and ranged from 56%-60% across cities for the city-specific parameters. We identified variation in parameter values across cities as well as within cities across risk and race/ethnic groups.

CONCLUSIONS

Better integration of modelling in decision making can be achieved by systematically reporting on the evidence synthesis process that is used to populate models, and by explicitly assessing the quality of data entered into the model. The effective communication of this process can help prioritize data collection of the most informative components of local HIV prevention and care services in order to reduce decision uncertainty and strengthen model conclusions.

Dehydroepiandrosterone and Addiction

Drug addiction has a great negative influence on society, both social and economic burden. It was widely thought that addicts could choose to stop using drugs if only they had some self-control and principles. Nowadays, science has changed this view, defining drug addiction as a complex brain disease that affects behavior in many ways, both biological and psychological. Currently there is no ground-breaking reliable treatment for drug addiction. For more than a decade we are researching an alternative approach for intervention with drug craving and relapse to its usage, using DHEA, a well-being and antiaging food supplement. In this chapter we navigate through the significant therapeutic effect of DHEA on the brain circuits that control addiction and on behavioral performance both in animal models and addicts. We suggest that an integrative program of add-on DHEA treatment may further enable to dynamically evaluate the progress of rehabilitation of an individual patient, in a comprehensive assessment. Such a program may boost and support the detoxification and rehabilitation process, and help patients regain a normal life in a shorter amount of time.

Start-Up Costs of SBIRT Implementation for Adolescents in Urban U.S. Federally Qualified Health Centers

OBJECTIVE

Understanding the costs to implement Screening, Brief Intervention, and Referral to Treatment (SBIRT) for adolescent substance use in primary care settings is important for providers in planning for services and for decision makers considering dissemination and widespread implementation of SBIRT. We estimated the start-up costs of two models of SBIRT for adolescents in a multisite U.S. Federally Qualified Health Center (FQHC). In both models, screening was performed by a medical assistant, but models differed on delivery of brief intervention, with brief intervention delivered by a primary care provider in the generalist model and a behavioral health specialist in the specialist model.

METHOD

SBIRT was implemented at seven clinics in a multisite, cluster randomized trial. SBIRT implementation costs were calculated using an activity-based costing methodology. Start-up activities were defined as (a) planning activities (e.g., changing existing electronic medical record system and tailoring service delivery protocols); and (b) initial staff training. Data collection instruments were developed to collect staff time spent in start-up activities and quantity of nonlabor resources used.

RESULTS

The estimated average costs to implement SBIRT were $5,182 for the specialist model and $3,920 for the generalist model. Planning activities had the greatest impact on costs for both models. Overall, more resources were devoted to planning and training activities in specialist sites, making the specialist model costlier to implement.

CONCLUSIONS

The initial investment required to implement SBIRT should not be neglected. The level of resources necessary for initial implementation depends on the delivery model and its integration into current practice.