Re-engineering methadone-Cost-effectiveness analysis of a patient-centered approach to methadone treatment

Methadone maintenance treatment has proven effectiveness in the treatment of opioid use disorder, but significant barriers remain to treatment retention. In a randomized clinical trial, 300 newly-admitted methadone patients were randomly assigned to patient-centered methadone (PCM) v. treatment-as-usual (TAU). In PCM, participants were treated under revised program rules which permitted voluntary attendance at counseling and other changes focused on reducing involuntary discharge, and different staff roles which shifted disciplinary responsibility from the participant's counselor to the supervisor. The study found no significant differences in treatment retention, measures of opioid use, or other patient outcomes. This paper employs an activity-based costing approach to estimate the cost and cost-effectiveness of the two study conditions. We found that service use and costs were similar between PCM and TAU. Specifically, the average cost for PCM patients was $2396 compared to $2292 for standard methadone, while the average length of stay was 2 weeks longer for PCM patients. Incremental cost-effectiveness ratios (ICER) for self-reported heroin use, opioid positive urine screens, and meeting DSM-IV criteria for opioid dependence were mixed, with TAU achieving non-significantly better outcomes at lower treatment episode costs (i.e., economically dominating) for opioid positive urine screens. PCM patients reported slightly more days abstinent from heroin and fewer meet the opioid dependence criteria. While these differences are small and not statistically significant, we can still examine the cost-effectiveness implications. For days, abstinent from heroin, the ICER was $242 for one additional day of abstinence, however, there was notable uncertainty around this estimate. For opioid dependence criteria, the ICER was $1160 for a one-percentage point increase in the probability that a participant no longer met criteria for opioid dependence at follow-up. This economic study finds that patient choice concepts can be introduced into methadone treatment without significant impacts on costs or patient outcomes.

Treatment outcomes among a cohort of African American buprenorphine patients: Follow-up at 12 months

BACKGROUND

Although buprenorphine/naloxone (bup/nal) is well-established as a safe and effective treatment for opioid use disorders (OUDs), there are few studies reporting 12-month outcomes of patients receiving bup/nal in formerly drug-free outpatient programs.

OBJECTIVES

To examine 12-month outcomes by bup/nal treatment enrollment status among a cohort of African American patients enrolled in a clinical trial.

METHODS

This analysis builds upon a randomized trial of 300 opioid-dependent African American bup/nal patients in two outpatient programs in Baltimore, MD. A subset of participants (N = 133, n = 47 female) were tracked for a 12-month follow-up interview.

RESULTS

The participants receiving bup/nal at 12 months had significantly fewer opioid-positive urine screens (44% v. 73%) and days of self-reported heroin use (M [SE] = 1.13 [.34] v. 7.12 [1.44]) than the out-of-bup/nal-treatment group (both ps ≤ .001). Similarly, those receiving bup/nal reported significantly fewer days of cocaine use (M [SE] = 0.85 [0.23] v. 2.88[0.75]) and alcohol use (M [SE] = 1.44 [0.38] v. 3.69 [1.04]; both ps<.05). There were no significant differences related to criminal activity, quality of life, and most ASI composite scores. Models adjusting for the baseline value, prior treatment experience, and assigned study condition largely confirmed these findings, except that participants in treatment had fewer days of crime and higher psychological quality of life scores compared to those out-of-treatment.

CONCLUSIONS

Those receiving bup/nal at 12 months had significantly lower rates of illicit opioid use than those who were not. Approaches to improve bup/nal treatment retention and reengagement of patients with OUD are needed.

Rehospitalization and substance use disorder (SUD) treatment entry among patients seen by a hospital SUD consultation-liaison service

BACKGROUND

Substance use disorders (SUD) are associated with non-adherence to medical care and high utilization of hospital services. This study characterized patterns and correlates of rehospitalization among patients seen by a hospital-based SUD consultation-liaison (CL) team.

METHODS

This study was a retrospective medical record review of patients in a large urban academic hospital who received SUD consultation and were diagnosed with opioid, cocaine, and/or alcohol use disorder (N = 267). Data were collected on patient characteristics, substance-specific SUD diagnoses (opioids, cocaine, and alcohol), opioid agonist treatment (OAT) with methadone or buprenorphine (treatment status at admission; in-hospital initiation of OAT), and rehospitalization through 180 days post-discharge. Associations with rehospitalization were examined using bivariate tests of independence and multivariate logistic regression, with patient background and medical characteristics, substance-specific SUD diagnoses, and OAT status (at admission and in-hospital initiation) as predictors.

RESULTS

Rehospitalization rates were higher among patients with current opioid (38% vs. 24%; p < .05) and cocaine use disorders (39% vs. 26%; p < .05) compared to patients without these diagnoses. In multivariate logistic regression analysis, the number of medical comorbidities [Adjusted Odds Ratio (AOR) = 1.2; p < .01] and opioid use disorder (AOR = 2.4, p < .05) were independently associated with rehospitalization.

CONCLUSIONS

In this sample of hospital patients receiving SUD CL services, the risk of rehospitalization differed by type of SUD diagnosis. In-hospital initiation of OAT is promising for facilitating treatment linkage post-discharge, but this small study did not show differences in rehospitalization based on OAT initiation. These findings could inform services for hospital patients with comorbid SUDs.

Gender and ethnic differences in primary care patients' response to computerized vs. in-person brief intervention for illicit drug misuse

This study is a secondary analysis from a randomized clinical trial of computerized vs. in-person brief intervention (BI) for illicit drug misuse among adult primary care patients (N=359; 45% Female; 47% Hispanic) with moderate-risk illicit drug misuse as measured by the World Health Organization's Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST). This study examined differences in response to the two brief intervention strategies (both based on motivational interviewing) on the basis of gender and ethnicity, comparing non-Hispanic males, non-Hispanic females, Hispanic males, and Hispanic females. Participants were assessed at baseline, 3-, 6-, and 12-month follow-up with the ASSIST. Trajectories in Global Continuum of Illicit Drug Risk Scores were examined using a generalized linear mixed model. There were significant differences in response to computerized vs. in-person BI over time on the basis of gender-ethnic subgroups (Gender×Ethnicity×Condition×Time interaction; p=0.03), with Hispanic males tending to respond more favorably to the computerized BI and Hispanic females tending to respond more favorably to the in-person BI. There was no clear differentiation in response to the two BIs among non-Hispanic males, while among non-Hispanic females the pattern of change converged following baseline differences. Consideration of gender and ethnic differences in future studies of BI is warranted.

When does methadone treatment reduce arrest and severity of arrest charges? An analysis of arrest records

This is an analysis of the odds of arrest, severity of charges, and factors predicting these outcomes in the year after methadone treatment entry using arrest records of patients (N=289) participating in two opioid treatment programs (OTPs) in Baltimore, MD as part of a previously-reported study. Baseline Addiction Severity Index data were examined along with publicly-available dates of arrest and arrest charges from the year before and after OTP entry. Severity of charges was rated independently by three researchers using a 1-7 point scale. Data were analyzed using Generalized Estimating Equations and Multiple Regression. The majority of the patients had no arrests over both time periods (61.6% and 65.7%, respectively). Of those arrested, the majority of the sample were charged with non-severe crimes in the year before and after OTP entry (82.9% and 73.7%, respectively). There were no significant differences in the odds of arrest or severity of charges in the year before versus the year after OTP admission (both ps>0.05). Predictors of arrest following admission included an arrest in the year prior to admission (p<0.001), younger age (p<0.001), and more lifetime months of incarceration (p=0.045). Predictors of the higher severity of charges included younger age (p<0.001), African-American race (p=0.032), and more lifetime months of incarceration (p=0.018). While in this population, the odds of arrest and severity of charges did not decrease significantly in the year following OTP entry, we discuss the need to avoid generalizing findings without considering those factors that may influence the likelihood of post-OTP entry arrest.

The concurrent validity of the Problem Oriented Screening Instrument for Teenagers (POSIT) substance use/abuse subscale in adolescent patients in an urban federally qualified health center

BACKGROUND

The Problem Oriented Screening Instrument for Teenagers (POSIT) substance use/abuse subscale has been validated with high school students, adolescents with criminal justice involvement, and adolescent substance use treatment samples using the Diagnostic and Statistical Manual of Mental Disorders (DSM)-III-R and DSM-IV. This study examines the concurrent validity of the POSIT's standard 17-item substance use/abuse subscale and a revised, shorter 11-item version using DSM-5 substance use disorder diagnoses.

METHODS

Adolescents (N = 525; 93% African American, 55% female) 12-17 years of age awaiting primary care appointments at a Federally Qualified Health Center in Baltimore, Maryland completed the 17-item POSIT substance use/abuse subscale and items from a modified World Mental Health Composite International Diagnostic Interview corresponding to DSM-5 alcohol use disorder (AUD) and cannabis use disorder (CUD). Receiver operating characteristic curves, sensitivities, and specificities were examined with DSM-5 AUD, CUD, and a diagnosis of either or both disorders for the standard and revised subscales using risk cutoffs of either 1 or 2 POSIT "yes" responses.

RESULTS

For the 17-item subscale, sensitivities were generally high using either cutoff (range: 0.79-1.00), although a cutoff of 1 was superior (sensitivities were 1.00 for AUD, CUD, and for either disorder). Specificities were also high using either cutoff (range: 0.81-0.95) but were higher using a cutoff of 2. For the 11-item subscale, a cutoff of 1 yielded higher sensitivities than a cutoff of 2 (ranges for 1 and 2: 0.96-1.00 and 0.79-0.86, respectively). Specificities for this subscale were higher using a cutoff of 2 (ranges for 1 and 2: 0.82-0.89 and 0.89-0.96, respectively).

CONCLUSIONS

Findings suggest that the POSIT's substance use/abuse subscale is a potentially useful tool for screening adolescents in primary care for AUD or CUD using a cutoff of 1 or 2. The briefer, revised subscale may be preferable to the standard subscale in busy pediatric practices.

Validation of the TAPS-1: A Four-Item Screening Tool to Identify Unhealthy Substance Use in Primary Care

BACKGROUND

The Tobacco, Alcohol, Prescription Medication, and Other Substance use (TAPS) tool is a combined two-part screening and brief assessment developed for adult primary care patients. The tool's first-stage screening component (TAPS-1) consists of four items asking about past 12-month use for four substance categories, with response options of never, less than monthly, monthly, weekly, and daily or almost daily.

OBJECTIVE

To validate the TAPS-1 in primary care patients.

DESIGN

Participants completed the TAPS tool in self- and interviewer-administered formats, in random order. In this secondary analysis, the TAPS-1 was evaluated against DSM-5 substance use disorder (SUD) criteria to determine optimal cut-points for identifying unhealthy substance use at three severity levels (problem use, mild SUD, and moderate-to-severe SUD).

PARTICIPANTS

Two thousand adult patients at five primary care sites.

MAIN MEASURES

DSM-5 SUD criteria were determined via the modified Composite International Diagnostic Interview. Oral fluid was used as a biomarker of recent drug use.

KEY RESULTS

Optimal frequency-of-use cut-points on the self-administered TAPS-1 for identifying SUDs were ≥ monthly use for tobacco and alcohol (sensitivity = 0.92 and 0.71, specificity = 0.80 and 0.85, AUC = 0.86 and 0.78, respectively) and any reported use for illicit drugs and prescription medication misuse (sensitivity = 0.93 and 0.89, specificity = 0.85 and 0.91, AUC = 0.89 and 0.90, respectively). The performance of the interviewer-administered format was similar. When administered first, the self-administered format yielded higher disclosure rates for past 12-month alcohol use, illicit drug use, and prescription medication misuse. Frequency of use alone did not provide sufficient information to discriminate between gradations of substance use problem severity. Among those who denied drug use on the TAPS-1, less than 4% had a drug-positive biomarker.

CONCLUSIONS

The TAPS-1 can identify unhealthy substance use in primary care patients with a high level of accuracy, and may have utility in primary care for rapid triage.

Update on Barriers to Pharmacotherapy for Opioid Use Disorders

PURPOSE OF REVIEW

The recent heroin and prescription opioid misuse epidemic has led to a sharp increase in the number of opioid overdose deaths in the USA. Notwithstanding the availability of three FDA-approved medications (methadone, buprenorphine, and naltrexone) to treat opioid use disorder, these medications are underutilized. This paper provides an update from the recent peer-reviewed literature on barriers to the use of these medications.

FINDINGS

These barriers are interrelated and can be categorized as financial, regulatory, geographic, attitudinal, and logistic. While financial barriers are common to all three medications, other barriers are medication-specific. The adverse impact of the current opioid epidemic on public health can be reduced by increasing access to effective pharmacotherapy for opioid use disorder.

The daily progress system: A proof of concept pilot study of a recovery support technology tool for outpatient substance abuse treatment

BACKGROUND

Illicit substance use remains highly prevalent in the US, and epidemiological surveillance surveys estimate that in 2015, over 27 million individuals (10.1% of the US population) 12 years of age or older used illicit drugs in the past 30 days.¹ Outpatient treatment delivered in community-based settings is the dominant modality for addiction treatment, typically involving weekly psychosocial counseling sessions in an individual and/or group format.^2,3 Unfortunately, relapse and premature treatment discontinuation are quite common in outpatient treatment.^3-5 Objectives: This is a pilot proof of concept feasibility study involving clients presenting for outpatient SUD treatment. This study sought to examine the feasibility and acceptability of the Daily Progress System (DPS), a telephone-based software program, using interactive voice response (IVR), designed to enhance quality care and improve client outcomes.

METHODS

Individuals who presented at the participating treatment clinic, who met study eligibility criteria, and who provided written informed consent to participate were included in the study (N = 15; 53.3% females). Incentives were paid to participants for calls completed.

RESULTS

Participants completed 65% of scheduled daily call-ins, representing 273 person-days of data on client cravings, mood, substance use, and involvement in recovery support activities. The average call duration was approximately 2 minutes and 42 seconds. There was a high degree of client and counselor acceptance and satisfaction using the system. Conclusions and Clinical Significance: Findings suggest that the DPS appears to be a feasible means of potentially addressing relapse and treatment engagement issues based on client and counselor engagement and satisfaction with the system.

Identifying substance misuse in primary care: TAPS Tool compared to the WHO ASSIST

BACKGROUND

There is a need for screening and brief assessment instruments to identify primary care patients with substance use problems. This study's aim was to examine the performance of a two-step screening and brief assessment instrument, the TAPS Tool, compared to the WHO ASSIST.

METHODS

Two thousand adult primary care patients recruited from five primary care clinics in four Eastern US states completed the TAPS Tool followed by the ASSIST. The ability of the TAPS Tool to identify moderate- and high-risk use scores on the ASSIST was examined using sensitivity and specificity analyses.

RESULTS

The interviewer and self-administered computer tablet versions of the TAPS Tool generated similar results. The interviewer-administered version (at cut-off of 2), had acceptable sensitivity and specificity for high-risk tobacco (0.90 and 0.77) and alcohol (0.87 and 0.80) use. For illicit drugs, sensitivities were >0.82 and specificities >0.92. The TAPS (at a cut-off of 1) had good sensitivity and specificity for moderate-risk tobacco use (0.83 and 0.97) and alcohol (0.83 and 0.74). Among illicit drugs, sensitivity was acceptable for moderate-risk of marijuana (0.71), while it was low for all other illicit drugs and non-medical use of prescription medications. Specificities were 0.97 or higher for all illicit drugs and prescription medications.

CONCLUSIONS

The TAPS Tool identified adult primary care patients with high-risk ASSIST scores for all substances as well moderate-risk users of tobacco, alcohol, and marijuana, although it did not perform well in identifying patients with moderate-risk use of other drugs or non-medical use of prescription medications. The advantages of the TAPS Tool over the ASSIST are its more limited number of items and focus solely on substance use in the past 3months.

Patient-centered methadone treatment: a randomized clinical trial

BACKGROUND AND AIMS

Methadone patients who discontinue treatment are at high risk of relapse, yet a substantial proportion discontinue treatment within the first year. We investigated whether a patient-centered approach to methadone treatment improved participant outcomes at 12 months following admission, compared with methadone treatment-as-usual.

DESIGN

Two-arm open-label randomized trial.

SETTING

Two methadone treatment programs (MTPs) in Baltimore, MD, USA.

PARTICIPANTS

Three hundred newly admitted MTP patients were enrolled between 13 September 2011 and 26 March 2014. Their mean age was 42.7 years [standard deviation (SD) = 10.1] and 59% were males.

INTERVENTION

Newly admitted MTP patients were assigned randomly to either patient-centered methadone treatment (PCM; n = 149), which modified the MTP's rules (e.g. counseling attendance was optional), and counselor roles (e.g. counselors were not responsible for enforcing clinic rules) or treatment-as-usual (TAU; n = 151).

MEASUREMENTS

The primary outcome was opioid-positive urine test at 12-month follow-up. Other 12-month outcomes included days of heroin and cocaine use, cocaine-positive urine tests, meeting DSM-IV opioid and cocaine dependence diagnostic criteria, HIV risk behavior and quality of life and retention in treatment.

FINDINGS

There was no significant difference between PCM and TAU conditions in opioid-positive urine screens at 12 months [adjusted odds ratio = 0.98; 95% confidence interval (CI) = 0.61, 1.56]. There were also no significant differences in any of the secondary outcome measures (all Ps > 0.05) except Quality of Life Global Score (P = 0.04; 95% CI = 0.01, 0.45). There were no significant differences between conditions in the number of individual or group counseling sessions attended. (Ps > 0.05).

CONCLUSIONS

Patient-centered methadone treatment (with optional counseling and the counselor not serving as the treatment program disciplinarian) does not appear to be more effective than methadone treatment-as-usual.

Understanding Patterns Of High-Cost Health Care Use Across Different Substance User Groups

Substance use contributes to significant societal burdens, including high-cost health care use. However, these burdens may vary by type of substance and level of involvement. Using the 2009-13 National Surveys on Drug Use and Health, we examined all-cause hospitalizations and estimated costs across substance use profiles for alcohol, marijuana, and other illicit drugs. For each substance, we characterized differences between abstainers, nondiagnostic users (people who used the substance but did not meet diagnostic criteria for substance use disorder), and people with substance use disorders. In a multivariate analysis, we found that the odds of hospitalization were 16 percent lower for nondiagnostic marijuana users and 11 percent lower for nondiagnostic alcohol users, compared to abstainers. Neither alcohol- nor marijuana-specific substance use disorders were associated with hospitalization. In contrast, substance use disorders for other illicit drugs were strongly associated with hospitalization: People with those disorders had 2.2 times higher odds of hospitalization relative to abstainers. A more detailed understanding of health care use in different substance user groups could inform the ongoing expansion of substance use services in the United States.

Proceedings of the 8th Annual Conference on the Science of Dissemination and Implementation : Washington, DC, USA. 14-15 December 2015

A1 Introduction to the 8^th Annual Conference on the Science of Dissemination and Implementation: Optimizing Personal and Population Health

David Chambers, Lisa Simpson

D1 Discussion forum: Population health D&I research

Felicia Hill-Briggs

D2 Discussion forum: Global health D&I research

Gila Neta, Cynthia Vinson

D3 Discussion forum: Precision medicine and D&I research

David Chambers

S1 Predictors of community therapists’ use of therapy techniques in a large public mental health system

Rinad Beidas, Steven Marcus, Gregory Aarons, Kimberly Hoagwood, Sonja Schoenwald, Arthur Evans, Matthew Hurford, Ronnie Rubin, Trevor Hadley, Frances Barg, Lucia Walsh, Danielle Adams, David Mandell

S2 Implementing brief cognitive behavioral therapy (CBT) in primary care: Clinicians' experiences from the field

Lindsey Martin, Joseph Mignogna, Juliette Mott, Natalie Hundt, Michael Kauth, Mark Kunik, Aanand Naik, Jeffrey Cully

S3 Clinician competence: Natural variation, factors affecting, and effect on patient outcomes

Alan McGuire, Dominique White, Tom Bartholomew, John McGrew, Lauren Luther, Angie Rollins, Michelle Salyers

S4 Exploring the multifaceted nature of sustainability in community-based prevention: A mixed-method approach

Brittany Cooper, Angie Funaiole

S5 Theory informed behavioral health integration in primary care: Mixed methods evaluation of the implementation of routine depression and alcohol screening and assessment

Julie Richards, Amy Lee, Gwen Lapham, Ryan Caldeiro, Paula Lozano, Tory Gildred, Carol Achtmeyer, Evette Ludman, Megan Addis, Larry Marx, Katharine Bradley

S6 Enhancing the evidence for specialty mental health probation through a hybrid efficacy and implementation study

Tonya VanDeinse, Amy Blank Wilson, Burgin Stacey, Byron Powell, Alicia Bunger, Gary Cuddeback

S7 Personalizing evidence-based child mental health care within a fiscally mandated policy reform

Miya Barnett, Nicole Stadnick, Lauren Brookman-Frazee, Anna Lau

S8 Leveraging an existing resource for technical assistance: Community-based supervisors in public mental health

Shannon Dorsey, Michael Pullmann

S9 SBIRT implementation for adolescents in urban federally qualified health centers: Implementation outcomes

Shannon Mitchell, Robert Schwartz, Arethusa Kirk, Kristi Dusek, Marla Oros, Colleen Hosler, Jan Gryczynski, Carolina Barbosa, Laura Dunlap, David Lounsbury, Kevin O'Grady, Barry Brown

S10 PANEL: Tailoring Implementation Strategies to Context - Expert recommendations for tailoring strategies to context

Laura Damschroder, Thomas Waltz, Byron Powell

S11 PANEL: Tailoring Implementation Strategies to Context - Extreme facilitation: Helping challenged healthcare settings implement complex programs

Mona Ritchie

S12 PANEL: Tailoring Implementation Strategies to Context - Using menu-based choice tasks to obtain expert recommendations for implementing three high-priority practices in the VA

Thomas Waltz

S13 PANEL: The Use of Technology to Improve Efficient Monitoring of Implementation of Evidence-based Programs - Siri, rate my therapist: Using technology to automate fidelity ratings of motivational interviewing

David Atkins, Zac E. Imel, Bo Xiao, Doğan Can, Panayiotis Georgiou, Shrikanth Narayanan

S14 PANEL: The Use of Technology to Improve Efficient Monitoring of Implementation of Evidence-based Programs - Identifying indicators of implementation quality for computer-based ratings

Cady Berkel, Carlos Gallo, Irwin Sandler, C. Hendricks Brown, Sharlene Wolchik, Anne Marie Mauricio

S15 PANEL: The Use of Technology to Improve Efficient Monitoring of Implementation of Evidence-based Programs - Improving implementation of behavioral interventions by monitoring emotion in spoken speech

Carlos Gallo, C. Hendricks Brown, Sanjay Mehrotra

S16 Scorecards and dashboards to assure data quality of health management information system (HMIS) using R

Dharmendra Chandurkar, Siddhartha Bora, Arup Das, Anand Tripathi, Niranjan Saggurti, Anita Raj

S17 A big data approach for discovering and implementing patient safety insights

Eric Hughes, Brian Jacobs, Eric Kirkendall

S18 Improving the efficacy of a depression registry for use in a collaborative care model

Danielle Loeb, Katy Trinkley, Michael Yang, Andrew Sprowell, Donald Nease

S19 Measurement feedback systems as a strategy to support implementation of measurement-based care in behavioral health

Aaron Lyon, Cara Lewis, Meredith Boyd, Abigail Melvin, Semret Nicodimos, Freda Liu, Nathanial Jungbluth

S20 PANEL: Implementation Science and Learning Health Systems: Intersections and Commonalities - Common loop assay: Methods of supporting learning collaboratives

Allen Flynn

S21 PANEL: Implementation Science and Learning Health Systems: Intersections and Commonalities - Innovating audit and feedback using message tailoring models for learning health systems

Zach Landis-Lewis

S22 PANEL: Implementation Science and Learning Health Systems: Intersections and Commonalities - Implementation science and learning health systems: Connecting the dots

Anne Sales

S23 Facilitation activities of Critical Access Hospitals during TeamSTEPPS implementation

Jure Baloh, Marcia Ward, Xi Zhu

S24 Organizational and social context of federally qualified health centers and variation in maternal depression outcomes

Ian Bennett, Jurgen Unutzer, Johnny Mao, Enola Proctor, Mindy Vredevoogd, Ya-Fen Chan, Nathaniel Williams, Phillip Green

S25 Decision support to enhance treatment of hospitalized smokers: A randomized trial

Steven Bernstein, June-Marie Rosner, Michelle DeWitt, Jeanette Tetrault, James Dziura, Allen Hsiao, Scott Sussman, Patrick O’Connor, Benjamin Toll

S26 PANEL: Developing Sustainable Strategies for the Implementation of Patient-Centered Care across Diverse US Healthcare Systems - A patient-centered approach to successful community transition after catastrophic injury

Michael Jones, Julie Gassaway

S27 PANEL: Developing Sustainable Strategies for the Implementation of Patient-Centered Care across Diverse US Healthcare Systems - Conducting PCOR to integrate mental health and cancer screening services in primary care

Jonathan Tobin

S28 PANEL: Developing Sustainable Strategies for the Implementation of Patient-Centered Care across Diverse US Healthcare Systems - A comparative effectiveness trial of optimal patient-centered care for US trauma care systems

Douglas Zatzick

S29 Preferences for in-person communication among patients in a multi-center randomized study of in-person versus telephone communication of genetic test results for cancer susceptibility

Angela R Bradbury, Linda Patrick-Miller, Brian Egleston, Olufunmilayo I Olopade, Michael J Hall, Mary B Daly, Linda Fleisher, Generosa Grana, Pamela Ganschow, Dominique Fetzer, Amanda Brandt, Dana Farengo-Clark, Andrea Forman, Rikki S Gaber, Cassandra Gulden, Janice Horte, Jessica Long, Rachelle Lorenz Chambers, Terra Lucas, Shreshtha Madaan, Kristin Mattie, Danielle McKenna, Susan Montgomery, Sarah Nielsen, Jacquelyn Powers, Kim Rainey, Christina Rybak, Michelle Savage, Christina Seelaus, Jessica Stoll, Jill Stopfer, Shirley Yao and Susan Domchek

S30 Working towards de-implementation: A mixed methods study in breast cancer surveillance care

Erin Hahn, Corrine Munoz-Plaza, Jianjin Wang, Jazmine Garcia Delgadillo, Brian Mittman Michael Gould

S31Integrating evidence-based practices for increasing cancer screenings in safety-net primary care systems: A multiple case study using the consolidated framework for implementation research

Shuting (Lily) Liang, Michelle C. Kegler, Megan Cotter, Emily Phillips, April Hermstad, Rentonia Morton, Derrick Beasley, Jeremy Martinez, Kara Riehman

S32 Observations from implementing an mHealth intervention in an FQHC

David Gustafson, Lisa Marsch, Louise Mares, Andrew Quanbeck, Fiona McTavish, Helene McDowell, Randall Brown, Chantelle Thomas, Joseph Glass, Joseph Isham, Dhavan Shah

S33 A multicomponent intervention to improve primary care provider adherence to chronic opioid therapy guidelines and reduce opioid misuse: A cluster randomized controlled trial protocol

Jane Liebschutz, Karen Lasser

S34 Implementing collaborative care for substance use disorders in primary care: Preliminary findings from the summit study

Katherine Watkins, Allison Ober, Sarah Hunter, Karen Lamp, Brett Ewing

S35 Sustaining a task-shifting strategy for blood pressure control in Ghana: A stakeholder analysis

Juliet Iwelunmor, Joyce Gyamfi, Sarah Blackstone, Nana Kofi Quakyi, Jacob Plange-Rhule, Gbenga Ogedegbe

S36 Contextual adaptation of the consolidated framework for implementation research (CFIR) in a tobacco cessation study in Vietnam

Pritika Kumar, Nancy Van Devanter, Nam Nguyen, Linh Nguyen, Trang Nguyen, Nguyet Phuong, Donna Shelley

S37 Evidence check: A knowledge brokering approach to systematic reviews for policy

Sian Rudge

S38 Using Evidence Synthesis to Strengthen Complex Health Systems in Low- and Middle-Income Countries

Etienne Langlois

S39 Does it matter: timeliness or accuracy of results? The choice of rapid reviews or systematic reviews to inform decision-making

Andrea Tricco

S40 Evaluation of the veterans choice program using lean six sigma at a VA medical center to identify benefits and overcome obstacles

Sherry Ball, Anne Lambert-Kerzner, Christine Sulc, Carol Simmons, Jeneen Shell-Boyd, Taryn Oestreich, Ashley O'Connor, Emily Neely, Marina McCreight, Amy Labebue, Doreen DiFiore, Diana Brostow, P. Michael Ho, David Aron

S41 The influence of local context on multi-stakeholder alliance quality improvement activities: A multiple case study

Jillian Harvey, Megan McHugh, Dennis Scanlon

S42 Increasing physical activity in early care and education: Sustainability via active garden education (SAGE)

Rebecca Lee, Erica Soltero, Nathan Parker, Lorna McNeill, Tracey Ledoux

S43 Marking a decade of policy implementation: The successes and continuing challenges of a provincial school food and nutrition policy in Canada

Jessie-Lee McIsaac, Kate MacLeod, Nicole Ata, Sherry Jarvis, Sara Kirk

S44 Use of research evidence among state legislators who prioritize mental health and substance abuse issues

Jonathan Purtle, Elizabeth Dodson, Ross Brownson

S45 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 1 designs

Brian Mittman, Geoffrey Curran

S46 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 2 designs

Geoffrey Curran

S47 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 3 designs

Jeffrey Pyne

S48 Linking team level implementation leadership and implementation climate to individual level attitudes, behaviors, and implementation outcomes

Gregory Aarons, Mark Ehrhart, Elisa Torres

S49 Pinpointing the specific elements of local context that matter most to implementation outcomes: Findings from qualitative comparative analysis in the RE-inspire study of VA acute stroke care

Edward Miech

S50 The GO score: A new context-sensitive instrument to measure group organization level for providing and improving care

Edward Miech

S51 A research network approach for boosting implementation and improvement

Kathleen Stevens, I.S.R.N. Steering Council

S52 PANEL: Qualitative methods in D&I Research: Value, rigor and challenge - The value of qualitative methods in implementation research

Alison Hamilton

S53 PANEL: Qualitative methods in D&I Research: Value, rigor and challenge - Learning evaluation: The role of qualitative methods in dissemination and implementation research

Deborah Cohen

S54 PANEL: Qualitative methods in D&I Research: Value, rigor and challenge - Qualitative methods in D&I research

Deborah Padgett

S55 PANEL: Maps & models: The promise of network science for clinical D&I - Hospital network of sharing patients with acute and chronic diseases in California

Alexandra Morshed

S56 PANEL: Maps & models: The promise of network science for clinical D&I - The use of social network analysis to identify dissemination targets and enhance D&I research study recruitment for pre-exposure prophylaxis for HIV (PrEP) among men who have sex with men

Rupa Patel

S57 PANEL: Maps & models: The promise of network science for clinical D&I - Network and organizational factors related to the adoption of patient navigation services among rural breast cancer care providers

Beth Prusaczyk

S58 A theory of de-implementation based on the theory of healthcare professionals’ behavior and intention (THPBI) and the becker model of unlearning

David C. Aron, Divya Gupta, Sherry Ball

S59 Observation of registered dietitian nutritionist-patient encounters by dietetic interns highlights low awareness and implementation of evidence-based nutrition practice guidelines

Rosa Hand, Jenica Abram, Taylor Wolfram

S60 Program sustainability action planning: Building capacity for program sustainability using the program sustainability assessment tool

Molly Hastings, Sarah Moreland-Russell

S61 A review of D&I study designs in published study protocols

Rachel Tabak, Alex Ramsey, Ana Baumann, Emily Kryzer, Katherine Montgomery, Ericka Lewis, Margaret Padek, Byron Powell, Ross Brownson

S62 PANEL: Geographic variation in the implementation of public health services: Economic, organizational, and network determinants - Model simulation techniques to estimate the cost of implementing foundational public health services

Cezar Brian Mamaril, Glen Mays, Keith Branham, Lava Timsina

S63 PANEL: Geographic variation in the implementation of public health services: Economic, organizational, and network determinants - Inter-organizational network effects on the implementation of public health services

Glen Mays, Rachel Hogg

S64 PANEL: Building capacity for implementation and dissemination of the communities that care prevention system at scale to promote evidence-based practices in behavioral health - Implementation fidelity, coalition functioning, and community prevention system transformation using communities that care

Abigail Fagan, Valerie Shapiro, Eric Brown

S65 PANEL: Building capacity for implementation and dissemination of the communities that care prevention system at scale to promote evidence-based practices in behavioral health - Expanding capacity for implementation of communities that care at scale using a web-based, video-assisted training system

Kevin Haggerty, David Hawkins

S66 PANEL: Building capacity for implementation and dissemination of the communities that care prevention system at scale to promote evidence-based practices in behavioral health - Effects of communities that care on reducing youth behavioral health problems

Sabrina Oesterle, David Hawkins, Richard Catalano

S68 When interventions end: the dynamics of intervention de-adoption and replacement

Virginia McKay, M. Margaret Dolcini, Lee Hoffer

S69 Results from next-d: can a disease specific health plan reduce incident diabetes development among a national sample of working-age adults with pre-diabetes?

Tannaz Moin, Jinnan Li, O. Kenrik Duru, Susan Ettner, Norman Turk, Charles Chan, Abigail Keckhafer, Robert Luchs, Sam Ho, Carol Mangione

S70 Implementing smoking cessation interventions in primary care settings (STOP): using the interactive systems framework

Peter Selby, Laurie Zawertailo, Nadia Minian, Dolly Balliunas, Rosa Dragonetti, Sarwar Hussain, Julia Lecce

S71 Testing the Getting To Outcomes implementation support intervention in prevention-oriented, community-based settings

Matthew Chinman, Joie Acosta, Patricia Ebener, Patrick S Malone, Mary Slaughter

S72 Examining the reach of a multi-component farmers’ market implementation approach among low-income consumers in an urban context

Darcy Freedman, Susan Flocke, Eunlye Lee, Kristen Matlack, Erika Trapl, Punam Ohri-Vachaspati, Morgan Taggart, Elaine Borawski

S73 Increasing implementation of evidence-based health promotion practices at large workplaces: The CEOs Challenge

Amanda Parrish, Jeffrey Harris, Marlana Kohn, Kristen Hammerback, Becca McMillan, Peggy Hannon

S74 A qualitative assessment of barriers to nutrition promotion and obesity prevention in childcare

Taren Swindle, Geoffrey Curran, Leanne Whiteside-Mansell, Wendy Ward

S75 Documenting institutionalization of a health communication intervention in African American churches

Cheryl Holt, Sheri Lou Santos, Erin Tagai, Mary Ann Scheirer, Roxanne Carter, Janice Bowie, Muhiuddin Haider, Jimmie Slade, Min Qi Wang

S76 Reduction in hospital utilization by underserved patients through use of a community-medical home

Andrew Masica, Gerald Ogola, Candice Berryman, Kathleen Richter

S77 Sustainability of evidence-based lay health advisor programs in African American communities: A mixed methods investigation of the National Witness Project

Rachel Shelton, Lina Jandorf, Deborah Erwin

S78 Predicting the long-term uninsured population and analyzing their gaps in physical access to healthcare in South Carolina

Khoa Truong

S79 Using an evidence-based parenting intervention in churches to prevent behavioral problems among Filipino youth: A randomized pilot study

Joyce R. Javier, Dean Coffey, Sheree M. Schrager, Lawrence Palinkas, Jeanne Miranda

S80 Sustainability of elementary school-based health centers in three health-disparate southern communities

Veda Johnson, Valerie Hutcherson, Ruth Ellis

S81 Childhood obesity prevention partnership in Louisville: creative opportunities to engage families in a multifaceted approach to obesity prevention

Anna Kharmats, Sandra Marshall-King, Monica LaPradd, Fannie Fonseca-Becker

S82 Improvements in cervical cancer prevention found after implementation of evidence-based Latina prevention care management program

Deanna Kepka, Julia Bodson, Echo Warner, Brynn Fowler

S83 The OneFlorida data trust: Achieving health equity through research & training capacity building

Elizabeth Shenkman, William Hogan, Folakami Odedina, Jessica De Leon, Monica Hooper, Olveen Carrasquillo, Renee Reams, Myra Hurt, Steven Smith, Jose Szapocznik, David Nelson, Prabir Mandal

S84 Disseminating and sustaining medical-legal partnerships: Shared value and social return on investment

James Teufel

Pharmacotherapy for opioid dependence in jails and prisons: research review update and future directions

Purpose

The World Health Organization recommends the initiation of opioid agonists prior to release from incarceration to prevent relapse or overdose. Many countries in the world employ these strategies. This paper considers the evidence to support these recommendations and the factors that have slowed their adoption in the US.

Methods

We reviewed randomized controlled trials (RCTs) and longitudinal/observational studies that examine participant outcomes associated with the initiation or continuation of opioid agonists (methadone, buprenorphine) or antagonists (naltrexone) during incarceration. Papers were identified through a literature search of PubMed with an examination of their references and were included if they reported outcomes for methadone, buprenorphine, or naltrexone continued during incarceration or initiated prior to release in a correctional institution.

Results

Fourteen studies were identified, including eight RCTs and six observational studies. One RCT found that patients treated with methadone who were continued on versus tapered off methadone during brief incarceration were more likely to return to treatment upon release. A second RCT found that the group starting methadone treatment in prison versus a waiting list was less likely to report using heroin and sharing syringes during incarceration. A third RCT found no differences in postrelease heroin use or reincarceration between individuals initiating treatment with methadone versus those initiating treatment with buprenorphine during relatively brief incarcerations. Findings from four additional RCTs indicate that starting opioid agonist treatment during incarceration versus after release was associated with higher rates of entry into community treatment and reduced heroin use. Finally, one pilot RCT showed that providing extended-release naltrexone prior to discharge resulted in significantly lower rates of opioid relapse compared to no medication.

Conclusion

Reasons why uptake of these pharmacotherapies is limited in the US and relatively widespread in Europe are discussed. Recommendations for future research are outlined.

Confirmatory factor analysis of the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) in community health center patients

BACKGROUND AND OBJECTIVES

To investigate the factor structure of the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST).

METHODS

Secondary analysis on an adult primary care sample (N = 2,599).

RESULTS AND DISCUSSION

Factor analysis of the tobacco, alcohol, and cannabis items did not yield an acceptable oblique, three-factor solution, due in part to floor effects and limited variability. A short form comprises three items (past-3-month frequency of use, urge to use, and whether others have expressed concern for use), that showed good psychometrics.

SCIENTIFIC SIGNIFICANCE

Supports the need for further investigation of the ASSIST factor structure and a short form. (Am J Addict 2016;25:259-263).

Two Models of Integrating Buprenorphine Treatment and Medical Staff within Formerly "Drug-Free" Outpatient Programs

"Drug-free" outpatient programs deliver treatment to the largest number of patients of all treatment modalities in the U.S., providing a significant opportunity to expand access to medication treatments for substance use disorders. This analysis examined staff perceptions of organizational dynamics associated with the delivery of buprenorphine maintenance within three formerly "drug-free" outpatient treatment programs. Semi-structured interviews (N = 15) were conducted with counseling and medical staff, and respondents were predominantly African American (n = 11) and female (n = 12). Themes and concepts related to medical staff integration emerged through an inductive and iterative coding process using Atlas.ti qualitative analysis software. Two treatment clinics incorporated buprenorphine maintenance into their programs using a co-located model of care. Their staff generally reported greater intra-organizational discord regarding the best ways to combine medication and counseling compared to the clinic using an integrated model of care. Co-located program staff reported less communication between medical and clinical staff, which contributed to some uncertainty about proper dosing and concerns about the potential for medication diversion. Clinics that shift from "drug-free" to incorporating buprenorphine maintenance should consider which model of care they wish to adapt and how to train staff and structure staff communication.

Process evaluation of a technology-delivered screening and brief intervention for substance use in primary care

Psychotherapy process research examines the content of treatment sessions and their association with outcomes in an attempt to better understand the interactions between therapists and clients, and to elucidate mechanisms of behavior change. A similar approach is possible in technology-delivered interventions, which have an interaction process that is always perfectly preserved and rigorously definable. The present study sought to examine the process of participants' interactions with a computer-delivered brief intervention for drug use, from a study comparing computer- and therapist-delivered brief interventions among adults at two primary health care centers in New Mexico. Specifically, we sought to describe the pattern of participants' (N=178) choices and reactions throughout the computer-delivered brief intervention, and to examine associations between that process and intervention response at 3-month follow-up. Participants were most likely to choose marijuana as the first substance they wished to discuss (n = 114, 64.0%). Most participants indicated that they had not experienced any problems as a result of their drug use (n = 108, 60.7%), but nearly a third of these (n = 32, 29.6%) nevertheless indicated a desire to stop or reduce its use; participants who did report negative consequences were most likely to endorse financial or relationship concerns. However, participant ratings of the importance of change or of the helpfulness of personalized normed feedback were unrelated to changes in substance use frequency. Design of future e-interventions should consider emphasizing possible benefits of quitting rather than the negative consequences of drug use, and-when addressing consequences-should consider focusing on the impacts of substance use on relationship and financial aspects. These findings are an early but important step toward using process evaluation to optimize e-intervention content.