Cost-Effectiveness of a Comprehensive Primary Care Smoking Treatment Program.

INTRODUCTION: Smoking is the leading preventable cause of death and disease in the U.S. This study evaluates the cost-effectiveness from a healthcare system perspective of a comprehensive primary care intervention to reduce smoking rates. METHODS: This pragmatic trial implemented electronic health record prompts during primary care visits and employed certified tobacco cessation specialists to offer proactive outreach and smoking cessation treatment to patients who smoke. The data, analyzed in 2022, included 10,683 patients in the smoking registry from 2017 to 2020. Pre-post analyses compared intervention costs to treatment engagement, successful self-reported smoking cessation, and acute health care utilization (urgent care, emergency department visits, and inpatient hospitalization). Cost per quality-adjusted life year was determined by applying conversion factors obtained from the tobacco research literature to the cost per patient who quit smoking. RESULTS: Tobacco cessation outreach, medication, and counseling costs increased from $2.64 to $6.44 per patient per month, for a total post-implementation intervention cost of $500,216. Smoking cessation rates increased from 1.3% pre-implementation to 8.7% post-implementation, for an incremental effectiveness of 7.4%. The incremental cost-effectiveness ratio was $628 (95% CI: $568, $695) per person who quit smoking, and $905 (95% CI: $822, $1,001) per quality-adjusted life year gained. Acute health care costs decreased by an average of $42 (95% CI: -$59, $145) per patient per month for patients in the smoking registry. CONCLUSIONS: Implementation of a comprehensive and proactive smoking cessation outreach and treatment program for adult primary care patients who smoke meets typical cost-effectiveness thresholds for healthcare.

Adapting the stages of implementation completion to an evidence-based implementation strategy: The development of the NIATx stages of implementation completion.

Background: Dissemination and implementation frameworks provide the scaffolding to explore the effectiveness of evidence-based practices (EBPs) targeting process of care and organizational outcomes. Few instruments, like the stages of implementation completion (SIC) examine implementation fidelity to EBP adoption and how organizations differ in their approach to implementation. Instruments to measure organizational competency in the utilization of implementation strategies are lacking. Method: An iterative process was utilized to adapt the SIC to the NIATx implementation strategies. The new instrument, NIATx-SIC, was applied in a randomized controlled trial involving 53 addiction treatment agencies in Washington state to improve agency co-occurring capacity. NIATx-SIC data were reported by state staff and external facilitators and through participating agency documentation. Proportion and duration scores for each stage and phase of the NIATx-SIC were calculated for each agency. Competency was assessed using the NIATx fidelity tool. Comparisons of proportion, duration, and NIATx activities completed were determined using independent sample t-tests by agency competency level. Results: The NIATx-SIC distinguished between agencies achieving competency (n = 23) and those not achieving competency (n = 26). Agencies achieving competency completed a greater proportion of implementation phase activities and had a significantly longer Stage 7 duration. These agencies participated in significantly more individual and group coaching calls, attended more in-person meetings, implemented more change projects, and spent approximately 64 more days, on average, engaging in all NIATx activities. Conclusions: Organizational participation in dissemination and implementation research requires a significant investment of staff resources. The inability of an organization to achieve competency when utilizing a set of implementation strategies waste an opportunity to institutionalize knowledge of how to apply implementation strategies to future change efforts. The NIATx-SIC provides evidence that competency is not an attribute of the organization but rather a result of the application of the NIATx implementation strategies to improve agency co-occurring capacity. Trial Registration: ClinicalTrials.gov, NCT03007940. Registered January 2, 2017, https://clinicaltrials.gov/ct2/show/NCT03007940.

Access to integrated services for persons with co-occurring substance use and mental health disorders is a long-standing behavioral health problem. Evidence-based practices (EBPs) that focus on patient needs are effective in improving care for persons with co-occurring disorders. The stages of implementation completion (SIC) is a measure that assesses the process that organizations go through when implementing a new EBP and can be used to compare differences between organizations in their fidelity to recommended processes. To implement, organizations use specified strategies to integrate EBP into the care process. These strategies require a significant investment of staff resources. When organizations struggle to achieve competency with a set of implementation strategies, resources are wasted impacting the ability to use the strategies in future change efforts. As such, it is critical to measure organizational efforts to achieve competency, but instruments to do so are lacking. The SIC was adapted for a proven implementation strategy, NIATx, to address this gap. The NIATx strategy provides outside support and coaching to facilitate the implementation of a new EBP. Results from this study indicated that the NIATx-SIC could distinguish between addiction treatment agencies that applied NIATx implementation strategies with competency, versus those that did not, in the context of a multilevel randomized control trial. Study results provide evidence for the utility of adapting the SIC to specific implementation strategies and the benefit that the NIATx-SIC could provide for similar studies involving the use of NIATx to implement EBPs.

Testing the incremental effectiveness of pay-for-performance to improve implementation of a motivational interviewing brief intervention for substance use disorders in HIV settings: Results of a cluster-randomized type 3 hybrid trial.

Background: Substance use disorders (SUDs) have a serious adverse impact on people living with HIV. Previously, using a 39-site dual-randomized type 2 hybrid trial design, findings from the Substance Abuse Treatment to HIV Care Project supported the Implementation and Sustainment Facilitation (ISF) strategy to improve implementation and effectiveness of a motivational interviewing brief intervention (MIBI) for SUD within HIV service settings across the United States (US). Building on this trial, this cluster-randomized type 3 hybrid trial aimed to test the incremental effectiveness of a pay-for-performance (P4P), a form of the "alter incentive/allowance structures" strategy. Methods: Twenty-six HIV service organizations, their staff participants (N=87), and their client participants (N=341) were cluster-randomized to one of two implementation conditions. The control condition included staff-focused training, feedback, and consultation (TFC) and team-focused implementation and sustainment (ISF). The experimental condition included TFC+ISF as well as P4P (TFC+ISF+P4P). P4P used financial incentives to reward MIBI implementation (US$10 per MIBI delivered) and MIBI implementation at or above a pre-defined level of quality (US$10 per demonstration). In addition to these outcomes, past 4-week changes/reductions in client participant's days of primary substance use and anxiety symptoms were examined. Results: The addition of P4P had a large and significant effect on the number of MIBIs implemented (d=1.30, p<.05) and reduction in anxiety (d=-1.54), but there was no impact on days of substance use. P4P had large effects on MIBI quality (d=1.24) and MIBI implementation effectiveness (d=1.28), but these were not significant (p<.10). Conclusions: P4P is a form of the "alter incentive/allowance structures" strategy Its function is to reward the implementation of a clinical innovation. Rewarding implementation is consistent with the theory of implementation effectiveness, which suggests implementation climate (i.e., the extent to which implementation is expected, supported, and rewarded) is a key antecedent of implementation effectiveness (i.e., the consistency and quality of implementation). We found that P4P had a significant, positive impact on MIBI implementation in HIV service settings, but client-level outcomes were mixed. Future research should examine the cost-effectiveness of this strategy, as well as to examine the effectiveness of P4P to improve the implementation of other evidence-based innovations. Trial registration: ClinicalTrials.gov: NCT04687917. Registered 12/18/2020.

Electronic health record closed-loop referral ("eReferral") to a state tobacco quitline: a retrospective case study of primary care implementation challenges and adaptations.

BACKGROUND: Health system change can increase the reach of evidence-based smoking cessation treatments. Proactive electronic health record (EHR)-enabled, closed-loop referral ("eReferral") to state tobacco quitlines increases the rates at which patients who smoke accept cessation treatment. Implementing such system change poses many challenges, however, and adaptations to system contexts are often required, but are understudied. This retrospective case study identified adaptations to eReferral EHR tools and implementation strategies in two healthcare systems. METHODS: In a large clustered randomized controlled trial (C-RCT; NCT02735382) conducted in 2016-2017, 11 primary care clinics in two healthcare systems implemented quitline eReferral, starting with 1 pilot clinic per system followed by 2 phases of implementation (an experimental phase in 5-6 test clinics per system and then a system-wide dissemination phase in both systems). Adaptations were informed by stakeholder input from live trainings, follow-up calls and meetings in the first month after eReferral launch, emails, direct observation by researchers, and clinic staff survey responses. Retrospective, descriptive analysis characterized implementation strategy modifications and adaptations using the Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies (FRAME-IS). A pre- and post-implementation survey assessed staff ratings of eReferral acceptability and implementation barriers and facilitators. FINDINGS: Major modifications to closed-loop eReferral implementation strategies included aligning the eReferral initiative with other high-priority health system objectives, modifying eReferral user interfaces and training in their use, modifying eReferral workflows and associated training, and maintaining and enhancing interoperability and clinician feedback functions. The two health systems both used Epic EHRs but used different approaches to interfacing with the quitline vendor and integrating eReferral into clinician workflows. Both health systems engaged in iterative refinement of the EHR alert prompting eReferral, the eReferral order, trainings, and workflows. Staff survey comments suggested moderate acceptability of eReferral processes and identified possible targets for future modifications in eReferral, including reducing clinician burden related to EHR documentation and addressing clinicians' negative beliefs about patient receptivity to cessation treatment. CONCLUSIONS: System-wide implementation of tobacco quitline eReferral in primary care outpatient clinics is feasible but requires extensive coordination across stakeholders, tailoring to local health system EHR configurations, and sensitivity to system- and clinic-specific workflows. TRIAL REGISTRATION: www. CLINICALTRIALS: gov, NCT02735382 . Registered on 12 August 2016.

A comprehensive electronic health record-enabled smoking treatment program: Evaluating reach and effectiveness in primary care in a multiple baseline design.

Effective treatments for smoking cessation exist but are underused. Proactive chronic care approaches may enhance the reach of cessation treatment and reduce the prevalence of smoking in healthcare systems. This pragmatic study evaluated a population-based Comprehensive Tobacco Intervention Program (CTIP) implemented in all (6) adult primary care clinics in a Madison, Wisconsin, USA healthcare cooperative, assessing treatment reach, reach equity, and effectiveness in promoting smoking cessation. CTIP launched in 3 waves of 2 clinics each in a multiple baseline design. Electronic health record (EHR) tools facilitated clinician-delivered pharmacotherapy and counseling; guiding tobacco care managers in phone outreach to all patients who smoke; and prompting multimethod bulk outreach to all patients on a smoking registry using an opt-out approach. EHR data were analyzed to assess CTIP reach and effectiveness among 6894 adult patients between January 2018 and February 2020. Cessation treatment reach increased significantly after CTIP launch in 5 of 6 clinics and was significantly higher when clinics were active vs. inactive in CTIP [Odds Ratio (OR) range = 2.0-3.0]. Rates of converting from current to former smoking status were also higher in active vs. inactive clinics (OR range = 2.2-10.5). Telephone treatment reach was particularly high in historically underserved groups, including African-American, Hispanic, and Medicaid-eligible patients. Implementation of a comprehensive, opt-out, chronic-care program aimed at all patients who smoke was associated with increases in the rates of pharmacotherapy and counseling delivery and quitting smoking. Proactive outreach may help reduce disparities in treatment access.

Development of a Pharmacist-Led Opt-Out Cessation Treatment Protocol for Combustible Tobacco Smoking Within Inpatient Settings.

Background: Although people who smoke cigarettes are overrepresented among hospital inpatients, few are connected with smoking cessation treatment during their hospitalization. Training, accountability for medication use, and monitoring of all patients position pharmacists well to deliver cessation interventions to all hospitalized patients who smoke. Methods: A large Midwestern University hospital implemented a pharmacist-led smoking cessation intervention. A delegation protocol for hospital pharmacy inpatients who smoked cigarettes gave hospital pharmacists the authority to order nicotine replacement therapy (NRT) during hospitalization and upon discharge, and for referral to the Wisconsin Tobacco Quit Line (WTQL) at discharge. Eligible patients received the smoking cessation intervention unless they actively refused (ie, "opt-out"). The program was pilot tested in phases, with pharmacist feedback between phases, and then implemented hospital-wide. Interviews, surveys, and informal mechanisms identified ways to improve implementation and workflows. Results: Feedback from pharmacists led to changes that improved workflow, training and patient education materials, and enhanced adoption and reach. Refining implementation strategies across pilot phases increased the percentage of eligible smokers offered pharmacist-delivered cessation support from 37% to 76%, prescribed NRT from 2% to 44%, and referred to the WTQL from 3% to 32%. Conclusion: Hospitalizations provide an ideal opportunity for patients to make a tobacco quit attempt, and pharmacists can capitalize on this opportunity by integrating smoking cessation treatment into existing inpatient medication reconciliation workflows. Pharmacist-led implementation strategies developed in this study may be applicable in other inpatient settings.

Can inpatient pharmacists move the needle on smoking cessation? Evaluating reach and representativeness of a pharmacist-led opt-out smoking cessation intervention protocol for hospital settings.

PURPOSE: Hospitalization affords an opportunity to reduce smoking, but fewer than half of patients who smoke receive evidence-based cessation treatment during inpatient stays. This study evaluated a pharmacist-led, electronic health record (EHR)-facilitated opt-out smoking cessation intervention designed to address this need. METHODS: Analyses of EHR records for adult patients who smoked in the past 30 days admitted to an academic medical center in the upper Midwest were conducted using the Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) framework. The reach of a pharmacist-led, EHR-facilitated protocol for smoking cessation treatment was assessed by comparing patients' receipt of nicotine replacement therapy (NRT) and tobacco quitline referral before and after implementation. χ2 tests, t tests, and multiple logistic regression models were used to compare reach across patient demographic groups to assess treatment disparities and the representativeness of reach. Adoption of the program by hospital services was also assessed. RESULTS: Of the 70 hospital services invited to implement the program, 88.6% adopted it and 78.6% had eligible admissions. Treatment reach increased as rates of delivering NRT rose from 43.6% of eligible patients before implementation to 50.4% after implementation (P < 0.0001) and quitline referral rates rose from 0.9% to 11.9% (P < 0.0001). Representativeness of reach by sex and ethnicity improved after implementation, although disparities by race and age persisted after adjustment for demographics, insurance, and primary diagnosis. Pharmacists addressed tobacco use for eligible patients in 62.5% of cases after protocol implementation. CONCLUSION: Smoking cessation treatment reach and representativeness of reach improved after implementation of a proactive, pharmacist-led, EHR-facilitated opt-out smoking cessation treatment protocol in adult inpatient services.

Closed-Loop Electronic Referral From Primary Care Clinics to a State Tobacco Cessation Quitline: Effects Using Real-World Implementation Training.

INTRODUCTION: Patients who use tobacco are too rarely connected with tobacco use treatment during healthcare visits. Electronic health record enhancements may increase such referrals in primary care settings. This project used the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework to assess the implementation of a healthcare system change carried out in an externally valid manner (executed by the healthcare system). METHODS: The healthcare system used their standard, computer-based training approach to implement the electronic health record and clinic workflow changes for electronic referral in 30 primary care clinics that previously used faxed quitline referral. Electronic health record data captured rates of assessment of readiness to quit and quitline referral 4 months before implementation and 8 months (May-December 2017) after implementation. Data, analyzed from October 2018 to June 2019, also reflected intervention reach, adoption, and maintenance. RESULTS: For reach and effectiveness, from before to after implementation for electronic referral, among adult patients who smoked, assessment of readiness to quit increased from 24.8% (2,126 of 8,569) to 93.2% (11,163 of 11,977), quitline referrals increased from 1.7% (143 of 8,569) to 11.3% (1,351 of 11,977), and 3.6% were connected with the quitline after implementation. For representativeness of reach, electronic referral rates were especially high for women, African Americans, and Medicaid patients. For adoption, 52.6% of staff who roomed at least 1 patient who smoked referred to the quitline. For maintenance, electronic referral rates fell by approximately 60% over 8 months but remained higher than pre-implementation rates. CONCLUSIONS: Real-world implementation of an electronic health record-based electronic referral system markedly increased readiness to quit assessment and quitline referral rates in primary care patients. Future research should focus on implementation methods that produce more consistent implementation and better maintenance of electronic referral.

Increasing Engagement in Post-Withdrawal Management Services Through a Practice Bundle and Checklist.

Individuals with substance use disorders (SUDs) who engage in post-withdrawal management (or detoxification) continuing care are more likely to remain drug free or sober and less likely to be incarcerated or die of overdose. Yet, just 21-35% of individuals receiving emergency withdrawal management services receive continuing care. This deficiency is occurring, while overdose rates are high, and limited evidence exists on how to improve this vital transition. To address this gap, withdrawal management service providers employed the LINK Care Transition Implementation System to improve withdrawal management to continuing care transition rates. This system integrates three evidence-based implementation science approaches: (a) practice bundle, (b) process checklist, and (c) standardized organizational change model. This integrated implementation approach improved withdrawal management to continuing care transition rates from 20 (baseline average) to 43% (post-intervention) in (n = 6) Wisconsin withdrawal management centers. This study provides insights into how to improve transitions to enhance SUD care and outcomes.

Who are we missing with EHR-Based Smoking Cessation Treatments? A Descriptive Study of Patients who Smoke and Do Not Regularly Visit Primary Care Clinics.

Introduction: Most tobacco treatment efforts target healthcare settings, since about 75% of smokers in the United States visit a primary care provider annually. Yet, 25% of patients may be missed by such targeting. Aims: To describe patients who smoke but infrequently visit primary care -- their characteristics, rates of successful telephone contact, and acceptance of tobacco treatment. Methods: Tobacco Cessation Outreach Specialists (TCOS) "cold-called" those without a primary care visit in the past year, offering tobacco dependence treatment. Age, sex, insurance status, race, ethnicity, EHR patient-portal status and outreach outcomes were reported. Results: Of 3,407 patients identified as smokers in a health system registry, 565 (16.6%) had not seen any primary care provider in the past year. Among 271 of those called, 143 (53%) were successfully reached and 33 (23%) set a quit date. Those without visits tended to be younger, male, some-day versus every-day smokers (42 vs. 44 yrs., p = 0.004; 48% vs. 40% female, p=0.0002, and 21% vs. 27% some-day, p=0.003), and less active on the EHR patient portal (33% vs. 40%, p =0.001). Conclusions: A substantial proportion of patients who smoke are missed by traditional tobacco treatment interventions that require a primary care visit, yet many are receptive to quit smoking treatment offers.

Closed-loop electronic referral to SmokefreeTXT for smoking cessation support: a demonstration project in outpatient care.

Too few smokers who present for outpatient healthcare receive evidence-based interventions to stop smoking. Referral to nationally available smoking cessation support may enhance tobacco intervention reach during healthcare visits. This study evaluated the feasibility of outpatient electronic health record (EHR)-enabled, closed-loop referral (eReferral) to SmokefreeTXT, a National Cancer Institute text message smoking cessation program. SmokefreeTXT eReferral for adult patients who smoke was implemented in a family medicine clinic and an allergy and asthma clinic in an integrated Midwestern healthcare system. Interoperable, HIPAA-compliant eReferral returned referral outcomes to the EHR. In Phase 1 of implementation, clinicians were responsible for eReferral; in Phase 2 this responsibility shifted to Medical Assistants and/or nurses. EHR data were extracted to compute eReferral rates among adult smokers and compare demographics among those eReferred versus not referred. SmokefreeTXT data were used to compute SmokefreeTXT enrollment rates among those eReferred. Descriptive analyses of clinic staff surveys assessed implementation context and staff attitudes toward and adaptations of eReferral processes. During clinician implementation, 43 of 299 adult smokers (14.4%) were eReferred. During medical assistant (MA) implementation, 36 of 401 adult smokers (9.0%) were eReferred. Overall, among those eReferred, 25.7% completed SmokefreeTXT enrollment (3.1% of patients eligible for eReferral). Staff survey responses indicated that eReferral was efficient and easy. eReferral rates and relevant attitudes varied meaningfully by clinic. Thus, interoperable eReferral via outpatient EHR to SmokefreeTXT is feasible and acceptable to clinic staff and enrolls roughly 3.0% of smokers. Clinic context and implementation approach may influence reach.

The payer's role in addressing the opioid epidemic: It's more than money.

BACKGROUND AND OBJECTIVE: County, State, and Federal agencies are addressing the public health opioid crisis. Ohio's 51 county-based Alcohol, Drug Addiction and Mental Health Services (ADAMHS) Boards finance and regulate opioid treatment services within their jurisdictions. This three-year comparative trial collaborated with ADAMHS Boards (n = 14) to test the Advancing Recovery Framework, a suite of organizational and system change strategies designed to promote use of buprenorphine for opioid agonist therapy. METHODS: A multi-level intervention directed payers and treatment agencies to leverage their roles in increasing the use of buprenorphine. Half of the boards partnered with local substance use disorder treatment providers using the partnership strategies recommended by the Advancing Recovery (AR) framework. The comparison boards did not use the partnership strategies. RESULTS AND CONCLUSION: A logistic regression analysis detected increases in the number of patients receiving buprenorphine in both conditions. Buprenorphine use, as a percentage of patients with an opioid use disorder diagnosis, was significantly greater among the boards using the Advancing Recovery strategies during the three-year experimental period (odds ratio (OR) 1.63, 95% CI, 1.50 to 1.76, p < .001) and a one-year maintenance period (OR 2.13, 95% CI, 1.85 to 2.46, p < .001). Boards in both groups provided similar levels of financial support to implement and maintain buprenorphine prescribing. Strategy differences between the study conditions existed in use of a committee that facilitated payer-provider partnering and the ADAMHS boards setting expectations for using buprenorphine. Payer-provider partnerships achieved greater improvements and maximized the effectiveness of funding in increasing access to buprenorphine.

An electronic health record-based interoperable eReferral system to enhance smoking Quitline treatment in primary care.

OBJECTIVE: The study sought to determine whether interoperable, electronic health record-based referral (eReferral) produces higher rates of referral and connection to a state tobacco quitline than does fax-based referral, thus addressing low rates of smoking treatment delivery in health care. MATERIALS AND METHODS: Twenty-three primary care clinics from 2 healthcare systems (A and B) in Wisconsin were randomized, unblinded, over 2016-2017, to 2 smoking treatment referral methods: paper-based fax-to-quit (system A =6, system B = 6) or electronic (eReferral; system A = 5, system B = 6). Both methods referred adult patients who smoked to the Wisconsin Tobacco Quitline. A total of 14 636 smokers were seen in the 2 systems (system A: 54.5% women, mean age 48.2 years; system B: 53.8% women, mean age 50.2 years). RESULTS: Clinics with eReferral, vs fax-to-quit, referred a higher percentage of adult smokers to the quitline: system A clinic referral rate = 17.9% (95% confidence interval [CI], 17.2%-18.5%) vs 3.8% (95% CI, 3.5%-4.2%) (P < .001); system B clinic referral rate = 18.9% (95% CI, 18.3%-19.6%) vs 5.2% (95% CI, 4.9%-5.6%) (P < .001). Average rates of quitline connection were higher in eReferral than F2Q clinics: system A = 5.4% (95% CI, 5.0%-5.8%) vs 1.3% (95% CI, 1.1%-1.5%) (P < .001); system B = 5.3% (95% CI, 5.0%-5.7%) vs 2.0% (95% CI, 1.8%-2.2%) (P < .001). DISCUSSION: Electronic health record-based eReferral provided an effective, closed-loop, interoperable means of referring patients who smoke to telephone quitline services, producing referral rates 3-4 times higher than the current standard of care (fax referral), including especially high rates of referral of underserved individuals. CONCLUSIONS: eReferral may help address the challenge of providing smokers with treatment for tobacco use during busy primary care visits.ClinicalTrials.gov; No. NCT02735382.

Barriers to Buprenorphine Expansion in Ohio: A Time-Elapsed Qualitative Study.

Buprenorphine partial opioid agonist pharmacotherapy, a key treatment for opioid use disorders (OUDs), is underutilized in the United States. Qualitative interviews, conducted in 2012/2013 and repeated in 2015, identified systemic barriers to providing buprenorphine treatment in Ohio. A representative sample of Ohio's Alcohol, Drug Abuse and Mental Health Services (ADAMHS) county boards (n = 18) was selected based on percentage of OUD admissions, density of buprenorphine prescribers, and county board area population. Boards reported that the barriers to the use of buprenorphine in 2012/2013 included (1) negative attitudes toward the use of buprenorphine among substance use disorder treatment providers; (2) a lack of prescribers; and (3) lack of funding. The 2015 interviews suggested that the lack of prescribers surpassed lack of funding as the main impediment to buprenorphine expansion. Negative provider attitudes were no longer problematic. Concerns about buprenorphine diversion, however, had emerged as a new barrier. This article offers recommendations for future policy efforts to overcome these barriers and expand the use of evidence-based opioid treatments. It highlights the need for payers and policymakers to increase the number of buprenorphine prescribers to make best use of funding available to fight the opioid epidemic.

Payer Policy Behavior Towards Opioid Pharmacotherapy Treatment in Ohio.

OBJECTIVE: Few studies examine how payers address the need for improved access to pharmacotherapy for opioid use disorders and the influence of environmental variables on access to opioid agonist and antagonist medications. METHOD: The 52 Ohio Addiction Drug Abuse and Mental Health Services (ADAMHS) Boards that disburse funds for treatment services for the uninsured and underinsured were surveyed to assess coverage for opioid agonist and antagonist treatment medications. Analyses examined public health data on regional opioid addiction patterns, characteristics of the local health insurance market, and their associations with coverage for opioid addiction pharmacotherapy. RESULTS: Most (70%) of the 44 participating ADAMHS Boards paid for opioid treatment medications. For payment policy, all Boards required behavioral therapy to be provided in conjunction with opioid agonist or opioid antagonist therapy, and 27% of the Boards limited length of a buprenorphine therapy regimen. Higher local opioid treatment admission rates were associated with higher rates of Board funding for opioid treatment pharmacotherapy. Environmental variables (eg, overdose fatality rates or the behaviors of private insurance payers) were not associated with ADAMHS support for opioid agonist or antagonist medication. CONCLUSIONS: The analysis highlights the policy preferences of these payers. Follow-up studies should examine the payer decision-making processes, preferences, and attitudes that affect support for pharmacotherapy for opioid dependence.

Testing the implementation and sustainment facilitation (ISF) strategy as an effective adjunct to the Addiction Technology Transfer Center (ATTC) strategy: study protocol for a cluster randomized trial.

BACKGROUND: Improving the extent to which evidence-based practices (EBPs)-treatments that have been empirically shown to be efficacious or effective-are integrated within routine practice is a well-documented challenge across numerous areas of health. In 2014, the National Institute on Drug Abuse funded a type 2 effectiveness-implementation hybrid trial titled the substance abuse treatment to HIV Care (SAT2HIV) Project. Aim 1 of the SAT2HIV Project tests the effectiveness of a motivational interviewing-based brief intervention (MIBI) for substance use as an adjunct to usual care within AIDS service organizations (ASOs) as part of its MIBI Experiment. Aim 2 of the SAT2HIV Project tests the effectiveness of implementation and sustainment facilitation (ISF) as an adjunct to the Addiction Technology Transfer Center (ATTC) model for training staff in motivational interviewing as part of its ISF Experiment. The current paper describes the study protocol for the ISF Experiment. METHODS: Using a cluster randomized design, case management and leadership staff from 39 ASOs across the United States were randomized to receive either the ATTC strategy (control condition) or the ATTC + ISF strategy (experimental condition). The ATTC strategy is staff-focused and includes 10 discrete strategies (e.g., provide centralized technical assistance, conduct educational meetings, provide ongoing consultation). The ISF strategy is organization-focused and includes seven discrete strategies (e.g., use an implementation advisor, organize implementation team meetings, conduct cyclical small tests of change). Building upon the exploration-preparation-implementation-sustainment (EPIS) framework, the effectiveness of the ISF strategy is examined via three staff-level measures: (1) time-to-proficiency (i.e., preparation phase outcome), (2) implementation effectiveness (i.e., implementation phase outcome), and (3) level of sustainment (i.e., sustainment phase outcome). DISCUSSION: Although not without limitations, the ISF experiment has several strengths: a highly rigorous design (randomized, hypothesis-driven), high-need setting (ASOs), large sample size (39 ASOs), large geographic representation (23 states and the District of Columbia), and testing along multiple phases of the EPIS continuum (preparation, implementation, and sustainment). Thus, study findings will significantly improve generalizable knowledge regarding the best preparation, implementation, and sustainment strategies for advancing EBPs along the EPIS continuum. Moreover, increasing ASO's capacity to address substance use may improve the HIV Care Continuum. Trial registration ClinicalTrials.gov: NCT03120598.

Buprenorphine Prescribing Availability in a Sample of Ohio Specialty Treatment Organizations.

OBJECTIVE: Buprenorphine, a medication for treating opioid dependence, is underutilized in specialty addiction treatment organizations. Only physicians who have obtained a buprenorphine prescribing license or "waiver" may administer this medication. A limited number of physicians are pursuing this waiver, and a concern in the substance use disorder treatment field is that the shortage of prescribers could be contributing to the low use of buprenorphine at specialty addiction treatment centers. The objective of this study is to assess Ohio specialty treatment organizations' access to buprenorphine prescribers and the barriers they encounter when seeking new physician prescribing capacity. METHODS: Forty-one Ohio specialty addiction treatment organizations were invited to complete a survey of their buprenorphine practices and availability of buprenorphine prescribers during August-October 2014. Data was collected on pharmacotherapies used in the treatment of opioid dependence, arrangements treatment organizations have with prescribing physicians, buprenorphine prescribing capacity, and barriers encountered in recruiting new physician prescribers. RESULTS: Thirty-seven treatment organizations responded, for a response rate of 90.2%. Seventy-eight percent (n=29) of the sample provided buprenorphine therapy. Of those treatment organizations, 48.3% (n=14) reported insufficient prescribing capacity. Of those, 50% (n=7) indicated they had to turn patients away from buprenorphine therapy due to limited physician prescribing capacity. CONCLUSION: The study suggests that buprenorphine use is constrained by limited physician prescribing capacity, to the degree that 24.1% of the organizations surveyed using buprenorphine therapy had to turn patients away. Potential remedies include encouraging more specialty treatment organizations to have physicians on staff, removing the Drug Addiction Treatment Act (DATA 2000) cap that limits physician buprenorphine caseloads at 100 patients (after year 1), and developing strategies to recruit physicians into addiction treatment practice. Additional research is needed to increase the knowledge of physician prescribing capacity as a barrier to buprenorphine use, how to overcome these barriers, and to understand the extent physician capacity shortages are affecting buprenorphine use.

Implementing buprenorphine in addiction treatment: payer and provider perspectives in Ohio.

BACKGROUND: Buprenorphine is under-utilized in treating opioid addiction. Payers and providers both have substantial influence over the adoption and use of this medication to enhance recovery. Their views could provide insights into the barriers and facilitators in buprenorphine adoption. METHODS: We conducted individual interviews with 18 Ohio county Alcohol, Drug Addiction, and Mental Health Services (ADAMHS) Boards (payers) and 36 addiction treatment centers (providers) to examine barriers and facilitators to buprenorphine use. Transcripts were reviewed, coded, and qualitatively analyzed. First, we examined reasons that county boards supported buprenorphine use. A second analysis compared county boards and addiction treatment providers on perceived barriers and facilitators to buprenorphine use. The final analysis compared county boards with low and high use of buprenorphine to determine how facilitators and barriers differed between those settings. RESULTS: County boards (payers) promoted buprenorphine use to improve clinical care, reduce opioid overdose deaths, and prepare providers for participation in integrated models of health care delivery with primary care clinics and hospitals. Providers and payers shared many of the same perceptions of facilitators and barriers to buprenorphine use. Common facilitators identified were knowledge of buprenorphine benefits, funds allocated to purchase buprenorphine, and support from the criminal justice system. Common barriers were negative attitudes toward use of agonist pharmacotherapy, payment environment, and physician prescribing capacity. County boards with low buprenorphine use rates cited negative attitudes toward use of agonist medication as a primary barrier. County boards with high rates of buprenorphine use dedicated funds to purchase buprenorphine in spite of concerns about limited physician prescribing capacity. CONCLUSIONS: This qualitative analysis found that attitudes toward use of medication and medication funding environment play important roles in an organization's decision to begin buprenorphine use and that physician availability influences an organization's ability to expand buprenorphine use over time. Additional education, reimbursement support, and policy changes are needed to support buprenorphine adoption and use, along with a greater understanding of the roles payers, providers, and regulators play in the adoption of targeted practices.

Psychiatric disorders in smokers seeking treatment for tobacco dependence: relations with tobacco dependence and cessation.

OBJECTIVE: The present research examined the relation of psychiatric disorders to tobacco dependence and cessation outcomes. METHOD: Data were collected from 1,504 smokers (58.2% women; 83.9% White; mean age = 44.67 years, SD = 11.08) making an aided smoking cessation attempt as part of a clinical trial. Psychiatric diagnoses were determined with the Composite International Diagnostic Interview structured clinical interview. Tobacco dependence was assessed with the Fagerström Test of Nicotine Dependence (FTND) and the Wisconsin Inventory of Smoking Dependence Motives (WISDM). RESULTS: Diagnostic groups included those who were never diagnosed, those who had ever been diagnosed (at any time, including in the past year), and those with past-year diagnoses (with or without prior diagnosis). Some diagnostic groups had lower follow-up abstinence rates than did the never diagnosed group (ps < .05). At 8 weeks after quitting, strong associations were found between cessation outcome and both past-year mood disorder and ever diagnosed anxiety disorder. At 6 months after quitting, those ever diagnosed with an anxiety disorder (OR = .72, p = .02) and those ever diagnosed with more than one psychiatric diagnosis (OR = .74, p = .03) had lower abstinence rates. The diagnostic categories did not differ in smoking heaviness or the FTND, but they did differ in dependence motives assessed with the WISDM. CONCLUSION: Information on recent or lifetime psychiatric disorders may help clinicians gauge relapse risk and may suggest dependence motives that are particularly relevant to affected patients. These findings also illustrate the importance of using multidimensional tobacco dependence assessments.

Smoking cessation via the internet: a randomized clinical trial of an internet intervention as adjuvant treatment in a smoking cessation intervention.

Internet interventions for smoking cessation are ubiquitous. Yet, to date, there are few randomized clinical trials that gauge their efficacy. This study is a randomized clinical trial (N= 284, n= 140 in the treatment group, n= 144 in the control group) of an Internet smoking cessation intervention. Smokers were randomly assigned to receive either bupropion plus counseling alone, or bupropion and counseling in addition to 12 weeks of access to the Comprehensive Health Enhancement Support System for Smoking Cessation and Relapse Prevention (CHESS SCRP; a Web site which provided information on smoking cessation as well as support). We found that access to CHESS SCRP was not significantly related to abstinence at the end of the treatment period (OR= 1.13, 95% CI 0.66-2.62) or at 6 months postquit (OR= 1.48, 95% CI 0.66-2.62). However, the number of times participants used CHESS SCRP per week was related to abstinence at both end of treatment (OR= 1.79, 95% CI 1.25-2.56) and at the 6-month follow-up (OR= 1.59, 95% CI 1.06-2.38). Participants with access to CHESS SCRP logged in an average of 33.64 times (SD=30.76) over the 90-day period of access. Rates of CHESS SCRP use did not differ by ethnicity, level of education or gender (all p>.05). In sum, results suggest that participants used CHESS SCRP frequently, CHESS SCRP use was related to success, but the effects in general did not yield intergroup effects.