Joseph E. Glass

A compilation of strategies for implementing clinical innovations in health and mental health

Efforts to identify, develop, refine, and test strategies to disseminate and implement evidence-based treatments have been prioritized in order to improve the quality of health and mental health care delivery. However, this task is complicated by an implementation science literature characterized by inconsistent language use and inadequate descriptions of implementation strategies. This article brings more depth and clarity to implementation research and practice by presenting a consolidated compilation of discrete implementation strategies, based on a review of 205 sources published between 1995 and 2011. The resulting compilation includes 68 implementation strategies and definitions, which are grouped according to six key implementation processes: planning, educating, financing, restructuring, managing quality, and attending to the policy context. This consolidated compilation can serve as a reference to stakeholders who wish to implement clinical innovations in health and mental health care and can facilitate the development of multifaceted, multilevel implementation plans that are tailored to local contexts.

A Systematic Review of Strategies for Implementing Empirically Supported Mental Health Interventions

Objective: This systematic review examines experimental studies that test the effectiveness of strategies intended to integrate empirically supported mental health interventions into routine care settings. Our goal was to characterize the state of the literature and to provide direction for future implementation studies. Method: A literature search was conducted using electronic databases and a manual search. Results: Eleven studies were identified that tested implementation strategies with a randomized (n = 10) or controlled clinical trial design (n = 1). The wide range of clinical interventions, implementation strategies, and outcomes evaluated precluded meta-analysis. However, the majority of studies (n = 7; 64%) found a statistically significant effect in the hypothesized direction for at least one implementation or clinical outcome. Conclusion: There is a clear need for more rigorous research on the effectiveness of implementation strategies, and we provide several suggestions that could improve this research area.

Differences in service utilization and barriers among Blacks, Hispanics, and Whites with drug use disorders

BackgroundTreatment for drug use disorders (DUD) can be effective, but only a small proportion of people with DUD seek or receive treatment. Research on racial and ethnic treatment differences and disparities remains unclear. Understanding racial and ethnic differences and disparities in drug treatment is necessary in order to develop a more effective referral system and to improve the accessibility of treatment. The purpose of the current study was to explore the role of race and ethnicity in service utilization.MethodsUsing data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), this study examined racial and ethnic differences in use of 14 types of treatment services for DUD and 27 different treatment barriers among persons who met lifetime criteria for a DUD. Multivariate logistic regression analyses were used to examine service utilization and barriers among the racial and ethnic groups, while adjusting for other sociodemographic and clinical variables.Results and discussionAmong Blacks, Hispanics and Whites in the overall NESARC sample, approximately 10.5% met criteria for at least one lifetime drug use disorder. Approximately 16.2% of persons with a lifetime DUD received at least one type of service. Overall, this study indicated that Whites were less likely to report receiving help for drug-related problems than Blacks, Blacks used a greater number of different types of services, and no racial and ethnic differences were observed with respect to perceived barriers to drug treatment. However, by examining types of services separately, a complex picture of racial and ethnic differences emerges. Most notably, Whites were most likely to use professional services, whereas Blacks were most likely to use 12-step and clergy. The service use pattern of Hispanics most resembled that of Whites.ConclusionWhile structural barriers to accessing treatment were observed, broad-based educational programs and interventions that are appropriately targeted to racial and ethnic groups remains an important area for prevention and treatment.

Specialty substance use disorder services following brief alcohol intervention: A meta-analysis of randomized controlled trials

BACKGROUND AND AIMS Brief alcohol interventions in medical settings are efficacious in improving self-reported alcohol consumption among those with low-severity alcohol problems. Screening, Brief Intervention and Referral to Treatment initiatives presume that brief interventions are efficacious in linking patients to higher levels of care, but pertinent evidence has not been evaluated. We estimated main and subgroup effects of brief alcohol interventions, regardless of their inclusion of a referral-specific component, in increasing the utilization of alcohol-related care. METHODS A systematic review of English language papers published in electronic databases to 2013. We included randomized controlled trials (RCTs) of brief alcohol interventions in general health-care settings with adult and adolescent samples. We excluded studies that lacked alcohol services utilization data. Extractions of study characteristics and outcomes were standardized and conducted independently. The primary outcome was post-treatment alcohol services utilization assessed by self-report or administrative data, which we compared across intervention and control groups. RESULTS Thirteen RCTs met inclusion criteria and nine were meta-analyzed (n = 993 and n = 937 intervention and control group participants, respectively). In our main analyses the pooled risk ratio (RR) was = 1.08, 95% confidence interval (CI) = 0.92-1.28. Five studies compared referral-specific interventions with a control condition without such interventions (pooled RR = 1.08, 95% CI = 0.81-1.43). Other subgroup analyses of studies with common characteristics (e.g. age, setting, severity, risk of bias) yielded non-statistically significant results. CONCLUSIONS There is a lack of evidence that brief alcohol interventions have any efficacy for increasing the receipt of alcohol-related services.

Prevalence and correlates of specialty substance use disorder treatment for Department of Veterans Affairs Healthcare System patients with high alcohol consumption

OBJECTIVE Current substance use disorder (SUD) treatment guidelines suggest that SUD treatment may be indicated for individuals with elevated levels of alcohol consumption. The Department of Veterans Affairs (VA) considers patients with AUDIT-C scores of ≥8 as candidates for specialty care, however rates of SUD treatment based on AUDIT-C cutoffs remain understudied. We sought to identify SUD treatment rates and to identify patient characteristics that were associated with SUD treatment for VA patients with elevated AUDIT-C scores. METHODS The study sample included 10,384 ambulatory care VA patients with AUDIT-C scores of ≥8, who had not received SUD treatment in the past 60 days. Data were ascertained from the 2005 Survey of Health Experiences of Patients, a confidential mailed patient satisfaction survey (results were not available to providers). The outcome variable was the receipt of VA specialty SUD treatment in the year after the survey completion, as ascertained by VA administrative data. We identified rates of SUD treatment, and conducted unadjusted F tests and adjusted logistic regression analyses to identify patient characteristics that were associated with treatment entry. RESULTS Approximately 3.9% of veterans with AUDIT-C scores of ≥8 received SUD treatment in the year after being surveyed. Adjusted analyses revealed that treatment was more likely among persons with a mental health diagnosis (OR=3.31, CI=2.30-4.76) and among racial/ethnic minority groups. CONCLUSIONS Very few veterans who reported elevated alcohol consumption on SHEP received specialty SUD treatment in the year after being surveyed. Increased efforts should be made to intervene with patients who have elevated levels of alcohol consumption.

Use of Salvia divinorum in a Nationally Representative Sample

Background: Salvia divinorum has known hallucinogenic effects and is legal in most parts of the United States. Given that this psychoactive substance has a potential of misuse and abuse, further data regarding the clinical and psychosocial factors associated with use are needed. Objectives: To examine the clinical and psychosocial characteristics associated with use of salvia. Methods: The study uses data from the National Survey on Drug Use and Health, 2008 (N = 55,623). Results: The results of this study suggest that salvia use is most common among young adults aged 18–25 years as well as individuals who had engaged in risk-taking behaviors (selling illicit drugs, stealing) or illicit drug use (especially other hallucinogens/ecstasy). Self-reported depression and anxiety were also associated with salvia use. Conclusions/Scientific Significance: The results provide evidence that salvia use is part of a broader constellation of psychosocial and behavioral problems among youth and young adults. The accessibility, legal status, and psychoactive effects of salvia can be a potentially complicating health risk to young people, especially among those with existing substance use problems.

Impact of Distance and Facility of Initial Diagnosis on Depression Treatment

OBJECTIVE To assess whether distance to services or diagnosis at a hospital-based medical center compared with a community clinic influences the receipt of psychotherapy versus pharmacotherapy for depression. DATA SOURCE Veterans Affairs (VA) administrative data for 132,329 depressed veterans between October 2003 and September 2004. STUDY DESIGN Multivariable logistic and multinomial regression models were used to examine the relationship between distance to the nearest mental health facility and the facility of initial depression diagnosis on receipt of any and adequate psychotherapy and/or pharmacotherapy, adjusted for patient characteristics. PRINCIPAL FINDINGS Compared with those living within 30 miles of the nearest mental health treatment facility, depressed patients living between 30 and 60 miles away had a decreased likelihood of receiving psychotherapy (OR=0.71; 95 percent CI: 0.66, 0.76) and a greater likelihood of receiving antidepressant treatment (OR=1.27; 95 percent CI: 1.22, 1.33). Initial diagnosis at a small community clinic compared with a VA medical center was not associated with a difference in receipt of any psychotherapy (OR=0.95; 95 percent CI: 0.83, 1.09), but it was associated with decreased likelihood of receiving eight or more psychotherapy visits (OR=0.46; 95 percent CI: 0.35, 0.61) or any antidepressant treatment (OR=0.69; 95 percent CI: 0.63, 0.75). CONCLUSIONS The VA and similar health systems should make efforts to insure adequate psychotherapy is provided to patients who initiate treatment at small community clinics and provide psychotherapy alternatives that may be less sensitive to travel barriers for patients living remote distances from mental health treatment. Extending services to small community clinics that support antidepressant treatment should also be considered.

Perceived Alcohol Stigma: Factor Structure and Construct Validation

INTRODUCTION There has been an increasing interest in studying the stigma of alcohol use disorders (AUDs) yet scant research has evaluated the conceptualization and measurement of alcohol stigma. This study examined the measurement properties (i.e., factor structure) and validity of the alcohol-adapted Perceived Devaluation-Discrimination scale (PDD), which assesses the construct of perceived alcohol stigma (PAS). METHODS Our sample included 34,386 respondents from the Wave 2 assessment in the National Epidemiologic Survey on Alcohol and Related Conditions, a population-representative survey of noninstitutionalized U.S. adults. Analytic procedures included confirmatory factor analysis and structural equation modeling. RESULTS One-factor (perceived devaluation-discrimination) and 2-factor (perceived devaluation, perceived discrimination) confirmatory factor analytic models fit the data well (Comparative Fit Index = 0.958, Tucker-Lewis Index = 0.942, Root Mean Square Error of Approximation = 0.056; Comparative Fit Index = 0.962, Tucker-Lewis Index = 0.946, Root Mean Square Error of Approximation = 0.054; respectively) when adjusting for item wording effects with a latent method factor. Despite having a better fit to the data, χ(2) (1) = 542, p < 0.0001, the 2 factors were highly correlated (r = 0.90), which led us to favor a 1-factor model. Structural equation models found that the inverse relationship between PAS and perceived interpersonal social support was strongest for persons with a stigmatized labeling status. The same was not true in analyses predicting social network involvement. CONCLUSIONS A 1-factor solution of PAS had superior parsimony. The alcohol-adapted PDD appears to be a psychometrically sound measure and exhibits relationships that are consistent with modified labeling theory.

Integrating addiction treatment into primary care using mobile health technology: protocol for an implementation research study

BackgroundHealthcare reform in the United States is encouraging Federally Qualified Health Centers and other primary-care practices to integrate treatment for addiction and other behavioral health conditions into their practices. The potential of mobile health technologies to manage addiction and comorbidities such as HIV in these settings is substantial but largely untested. This paper describes a protocol to evaluate the implementation of an E-Health integrated communication technology delivered via mobile phones, called Seva, into primary-care settings. Seva is an evidence-based system of addiction treatment and recovery support for patients and real-time caseload monitoring for clinicians.Methods/DesignOur implementation strategy uses three models of organizational change: the Program Planning Model to promote acceptance and sustainability, the NIATx quality improvement model to create a welcoming environment for change, and Rogers’s diffusion of innovations research, which facilitates adaptations of innovations to maximize their adoption potential. We will implement Seva and conduct an intensive, mixed-methods assessment at three diverse Federally Qualified Healthcare Centers in the United States. Our non-concurrent multiple-baseline design includes three periods — pretest (ending in four months of implementation preparation), active Seva implementation, and maintenance — with implementation staggered at six-month intervals across sites. The first site will serve as a pilot clinic. We will track the timing of intervention elements and assess study outcomes within each dimension of the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework, including effects on clinicians, patients, and practices. Our mixed-methods approach will include quantitative (e.g., interrupted time-series analysis of treatment attendance, with clinics as the unit of analysis) and qualitative (e.g., staff interviews regarding adaptations to implementation protocol) methods, and assessment of implementation costs.DiscussionIf implementation is successful, the field will have a proven technology that helps Federally Qualified Health Centers and affiliated organizations provide addiction treatment and recovery support, as well as a proven strategy for implementing the technology. Seva also has the potential to improve core elements of addiction treatment, such as referral and treatment processes. A mobile technology for addiction treatment and accompanying implementation model could provide a cost-effective means to improve the lives of patients with drug and alcohol problems.Trial registrationClinicalTrials.gov (NCT01963234).

Alcohol Screening and Intervention Among United States Adults who Attend Ambulatory Healthcare

ABSTRACTBACKGROUNDThere is limited data on the extent to which indicated alcohol interventions are delivered in U.S. ambulatory care settings.OBJECTIVETo assess the receipt of alcohol-related services, including assessment of use, advice to reduce drinking, and information about alcohol treatment, during ambulatory care visits.DESIGNSecondary data analysis of the 2013 National Survey on Drug Use and Health, a cross-sectional, nationally representative survey of civilians in the non-institutionalized U.S. general population (response rate 71.7 %).PARTICIPANTSAdult ambulatory care users in the public use data file who did not obtain emergency or inpatient services (n = 17,266).MAIN MEASURESMeasurements included respondents’ alcohol consumption, heavy episodic drinking, alcohol use disorder, healthcare use, and receipt of alcohol-related interventions.KEY RESULTSApproximately 71.1 % of ambulatory care users received an alcohol assessment. Among past-month heavy episodic drinkers without an alcohol use disorder who reported receiving an alcohol assessment, 4.4 % were advised to cut back. Among individuals with alcohol abuse and alcohol dependence who reported receiving an alcohol assessment, 2.9 % and 7.0 %, respectively, were offered information about treatment.CONCLUSIONSRates of alcohol screening and assessment were relatively high among adults who attended healthcare visits, but rates of intervention were low, even when individuals were assessed for use. Efforts are needed to expand delivery of interventions when patients are identified as positive for risky drinking, hazardous alcohol use, and alcohol use disorders during ambulatory care visits.