Barriers and facilitators to changing drinking and receiving alcohol-related care: Interviews with Veterans Health Administration primary care patients who indicated interest but did not enroll in an alcohol care management intervention trial.

Background: Most people with alcohol use disorder do not receive treatment, and primary care (PC)-based management of alcohol use disorder is a key strategy to close this gap. Understanding PC patients' perspectives on changing drinking and receiving alcohol-related care is important for this goal, particularly among those who decline alcohol-related care. This study examined perspectives on barriers and facilitators to changing drinking and receiving alcohol-related care among Veterans Health Administration (VA) PC patients who indicated interest but did not enroll in the Choosing Healthier drinking Options In primary CarE trial (CHOICE), which tested a PC-based alcohol care management intervention. Methods: VA PC patients with frequent heavy drinking who indicated interest in CHOICE but did not enroll were invited to participate. Twenty-seven patients completed in-person, semi-structured interviews. Interview transcripts were analyzed using iterative deductive and inductive content analysis. Results: Participants were mostly men (96%) and White (59%), and the mean age was 48. Seventy-four percent met criteria for alcohol use disorder, and the median number of past-week standard drinks was 41.5. Participants reported fewer alcohol-related problems, lower importance of/readiness to change drinking, and higher confidence in their ability to change than patients who enrolled in the CHOICE trial. Barriers fell into 5 domains: drinking fulfills need(s); reducing drinking or treatment is not needed; treatment is not effective/not acceptable; alcohol-related stigma; and practical barriers. Facilitators fell into 4 domains: reasons to change drinking; social support; treatment is acceptable/meets patients' needs; and practical facilitators. Participants discussed how Veteran identity and military experiences impacted drinking and willingness to receive care, which amplified multiple barriers/facilitators. Conclusions: This study identified barriers and facilitators to changing drinking and receiving alcohol-related care among VA PC patients who indicated interest but did not enroll in an alcohol care management trial. Findings can inform patient-centered interventions and support clinicians in engaging patients in care.

Electronic Medical Record Alert Associated With Reduced Opioid and Benzodiazepine Coprescribing in High-risk Veteran Patients.

BACKGROUND: Over the past decade, overdoses involving opioids and benzodiazepines have risen at alarming rates, making reductions in coprescribing of these medications a priority, particularly among patients who may be susceptible to adverse events due to high-risk conditions. OBJECTIVES: This quality improvement project evaluated the effectiveness of a medication alert designed to reduce opioid and benzodiazepine coprescribing among Veterans with known high-risk conditions (substance use, sleep apnea, suicide-risk, age 65 and above) at 1 Veterans Affairs (VA) health care system. METHODS: Prescribers were exposed to the point-of-prescribing alert for 12 months. For each high-risk cohort we used interrupted time series design to examine population trends in coprescribing 12 months after alert launch adjusting for coprescribing 12 months before launch, demographics and clinical covariates. Trends at the alert site were compared with those of a similar VA health care system without the alert. Secondary analyses examined population trends in opioid and benzodiazepine prescribing separately. RESULTS: Over 12 months, the alert activated for 1332 patients. Proportions of patients with concurrent prescriptions decreased significantly postalert launch among substance use [adjusted odds ratio (AOR)=0.97; 95% confidence interval (CI)=0.96-0.99; 12-month decrease=25.0%], sleep apnea (AOR=0.97, 95% CI=0.95-0.98, 12-month decrease=38.5%), and suicide-risk (AOR=0.94, 95% CI=0.91-0.98, 12-month decrease=61.5%) cohorts at the alert site. Decreases in coprescribing were significantly different from the comparison site among suicide-risk (AOR=0.92, 95% CI=0.86-0.97) and sleep apnea (AOR=0.98, 95% CI=0.96-1.00) cohorts. Significant decreases in benzodiazepine prescribing trends were observed at the alert site only. CONCLUSIONS: Medication alerts hold promise as a means of reducing opioid and benzodiazepine coprescribing among certain high-risk groups.

Increased Rates of Documented Alcohol Counseling in Primary Care: More Counseling or Just More Documentation?

BACKGROUND: Clinical performance measures often require documentation of patient counseling by healthcare providers. Little is known about whether such measures encourage delivery of counseling or merely its documentation. OBJECTIVE: To assess changes in provider documentation of alcohol counseling and patient report of receiving alcohol counseling in the Veterans Administration (VA) from 2009 to 2012. DESIGN: Retrospective time-series analysis. PARTICIPANTS: A total of 5413 men who screened positive for unhealthy alcohol use at an outpatient visit and responded to a confidential mailed survey regarding alcohol counseling from a VA provider in the prior year. MAIN MEASURES: Rates of provider documentation of alcohol counseling in the electronic health record and patient report of such counseling on the survey were assessed over 4 fiscal years. Annual rates were calculated overall and with patients categorized into four mutually exclusive groups based on their own reports of alcohol counseling (yes/no) and whether alcohol counseling was documented by a provider (yes/no). KEY RESULTS: Provider documentation of alcohol counseling increased 23.6% (95% CI: 17.0, 30.2), from 59.4% to 83.0%, while patient report of alcohol counseling showed no significant change (4.0%, 95% CI: -2.3, 10.3), increasing from 66.1% to 70.1%. An 18.7% (95% CI: 11.7, 25.7) increase in the proportion of patients who reported counseling that was documented by a provider largely reflected a 14.7% decline (95% CI: 8.5, 20.8) in the proportion of patients who reported alcohol counseling that was not documented by a provider. The proportion of patients who did not report counseling but whose providers documented it did not show a significant change (4.9%, 95%CI: 0.0, 9.9). CONCLUSIONS: If patient report is accurate, increased rates of documented alcohol counseling in the VA from 2009 to 2012 predominantly reflected improved documentation of previously undocumented counseling rather than delivery of additional counseling or increased documentation of counseling that did not meaningfully occur.

Barriers to and Facilitators of Alcohol Use Disorder Pharmacotherapy in Primary Care: A Qualitative Study in Five VA Clinics.

BACKGROUND: Three medications are FDA-approved and recommended for treating alcohol use disorders (AUD) but they are not offered to most patients with AUD. Primary care (PC) may be an optimal setting in which to offer and prescribe AUD medications, but multiple barriers are likely. OBJECTIVE: This qualitative study used social marketing theory, a behavior change approach that employs business marketing techniques including "segmenting the market," to describe (1) barriers and facilitators to prescribing AUD medications in PC, and (2) beliefs of PC providers after they were segmented into groups more and less willing to prescribe AUD medications. DESIGN: Qualitative, interview-based study. PARTICIPANTS: Twenty-four providers from five VA PC clinics. APPROACH: Providers completed in-person semi-structured interviews, which were recorded, transcribed, and analyzed using social marketing theory and thematic analysis. Providers were divided into two groups based on consensus review. KEY RESULTS: Barriers included lack of knowledge and experience, beliefs that medications cannot replace specialty addiction treatment, and alcohol-related stigma. Facilitators included training, support for prescribing, and behavioral staff to support follow-up. Providers more willing to prescribe viewed prescribing for AUD as part of their role as a PC provider, framed medications as a potentially effective "tool" or "foot in the door" for treating AUD, and believed that providing AUD medications in PC might catalyze change while reducing stigma and addressing other barriers to specialty treatment. Those less willing believed that medications could not effectively treat AUD, and that treating AUD was the role of specialty addiction treatment providers, not PC providers, and would require time and expertise they do not have. CONCLUSIONS: We identified barriers to and facilitators of prescribing AUD medications in PC, which, if addressed and/or capitalized on, may increase provision of AUD medications. Providers more willing to prescribe may be the optimal target of a customized implementation intervention to promote changes in prescribing.

Survey of Primary Care and Mental Health Prescribers' Perspectives on Reducing Opioid and Benzodiazepine Co-Prescribing Among Veterans.

Background: Due to the involvement of opioids and benzodiazepines in rising pharmaceutical overdoses, a reduction in coprescribing of these medications is a national priority, particularly among patients with substance use disorders and other high-risk conditions. However, little is known about primary care (PC) and mental health (MH) prescribers' perspectives on these medications and efforts being implemented to reduce coprescribing. Design: An anonymous survey. Setting: One multisite VA health care system. Subjects: Participants were 55 PC and 31 MH prescribers. Methods: Survey development was guided by the Promoting Action on Research Implementation in Health Services (PARIHS) conceptual framework. PC and MH prescribers of opioids or benzodiazepines were invited to complete an anonymous electronic survey. Responses were collapsed to highlight agreement, disagreement, and neutrality and summarized with means and percentages. Results: Over 80% of both prescriber groups reported concern about concurrent use and > 75% strongly agreed with clinical practice guidelines (CPG) that recommend caution in coprescribing among patients with high-risk conditions. More than 40% of both prescriber groups indicated that coprescribing continues because of beliefs that patients appear stable without adverse events and tapering/discontinuation is too difficult. Over 70% of prescribers rated strategies for addressing patients who refuse to discontinue, more time with patients, and identification of high-risk patients as helpful in reducing coprescribing. Conclusion: Despite strong agreement with CPGs, prescribers reported several barriers that contribute to coprescribing of opioids and benzodiazepines and challenge their ability to taper these medications. Multiple interventions are likely needed to reduce opioid and benzodiazepine coprescribing.

Factors Underlying Quality Problems with Alcohol Screening Prompted by a Clinical Reminder in Primary Care: A Multi-site Qualitative Study.

BACKGROUND: Population-based alcohol screening is recommended in primary care, and increasingly incentivized by policies, yet is challenging to implement. The U.S. Veterans Health Administration (VA) achieved high rates of screening using a national performance measure and associated electronic clinical reminder to prompt and facilitate screening and document results. However, the sensitivity of alcohol screening for identifying unhealthy alcohol use is low in VA clinics. OBJECTIVE: We aimed to understand factors that might contribute to low sensitivity of alcohol screening. DESIGN: This was an observational, qualitative study. PARTICIPANTS: Participants included clinical staff responsible for conducting alcohol screening and nine independently managed primary care clinics of a single VA medical center in the Northwestern U.S. APPROACH: Four researchers observed clinical staff as they conducted alcohol screening. Observers took handwritten notes, which were transcribed and coded iteratively. Template analysis identified a priori and emergent themes. KEY RESULTS: We observed 72 instances of alcohol screening conducted by 31 participating staff. Observations confirmed known challenges to implementation of care using clinical reminders, including workflow and flexibility limitations. Three themes specific to alcohol screening emerged. First, most observed screening was conducted verbally, guided by the clinical reminder, although some variability in approaches to screening (e.g., paper-based or laminate-based screening) was observed. Second, specific verbal screening practices that might contribute to low sensitivity of clinical screening were identified, including conducting non-verbatim screening and making inferences, assumptions, and/or suggestions to input responses. Third, staff introduced and adapted screening questions to enhance patient comfort. CONCLUSIONS: This qualitative study in nine clinics found that implementation of alcohol screening facilitated by a clinical reminder resulted primarily in verbal screening in which questions were not asked vertbatim and were otherwise adapted. Non-verbal approaches to screening, or patient self-administration, may enhance validity and standardization of screening while simultaneously addressing limitations of the clinical reminder and issues related to perceived discomfort.

Probability and predictors of patients converting from negative to positive screens for alcohol misuse.

BACKGROUND: Medicare reimburses providers for annual alcohol screening. However, the benefit of rescreening patients a year after a negative screen for alcohol misuse is unknown. We hypothesized that some subgroups of patients who screen negative would have a very low probability of converting to a positive subsequent screen (e.g., <0.1%), calling into question the value of annual alcohol screening for some patient subgroups. METHODS: This retrospective cohort study estimated the probability of converting to a positive screen for alcohol misuse a year after a negative screen among outpatients from 30 Veterans Health Administration (VA) medical centers. Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) alcohol screening scores (range 0 to 12 points) from 2004 to 2008 were obtained from electronic health record data. Eligible patients screened negative on their initial screen (AUDIT-C scores 0 to 3 for men; 0 to 2 for women). The main outcome was a positive subsequent screen (AUDIT-C scores ≥4 men; ≥3 women). RESULTS: Among 21,081 women and 323,913 men who screened negative on an initial screen, 5.4% and 6.0%, respectively, screened positive a year later. The adjusted probability of converting to a positive subsequent screen varied from 2.1 to 38.9% depending on age, gender, and initial negative screen score. Women, older patients, and those with initial AUDIT-C scores of 0 were least likely to a convert to a positive subsequent screen, while younger men with AUDIT-C scores of 3 were most likely to a convert to a positive subsequent screen. CONCLUSIONS: The probability of a positive subsequent screen varied depending on age, gender, and initial negative screen score but exceeded 2% in all patient subgroups. Annual rescreening appears reasonable for all VA patients who had a negative screen the year prior.

"The Only Reason I Am Willing to Do It at All": Evaluation of VA's SUpporting Primary care Providers in Opioid Risk reduction and Treatment (SUPPORT) Center.

OBJECTIVES: Medication treatment for opioid use disorder (MOUD) is effective and recommended for outpatient settings. We implemented and evaluated the SUpporting Primary care Providers in Opioid Risk reduction and Treatment (SUPPORT) Center-a quality improvement partnership to implement stepped care for MOUD in 2 Veterans Health Administration (VA) primary care (PC) clinics. METHODS: SUPPORT provided a dedicated clinical team (nurse practitioner prescriber and social worker) and stepped care ([1] identification, assessment, referral; [2] MOUD induction; [3] stabilization; and [4] maintenance supporting PC providers [PCPs] to initiate and/or sustain treatment) coupled with ongoing internal facilitation (consultation, trainings, informatics support). Qualitative interviews with stakeholders (PCPs and patients) and meeting notes identified barriers and facilitators to implementation. Electronic health record and patient tracking data measured reach, adoption, and implementation outcomes descriptively. RESULTS: SUPPORT's implementation barriers included the need for an X-waiver, VA's opioid tapering policies, patient and PCP knowledge gaps and PCP discomfort, and logistical compatibility and sustainability challenges for clinics. SUPPORT's dedicated clinical staff, ongoing internal facilitation, and high patient and PCP satisfaction were key facilitators. SUPPORT (January 2019 to September 2021) trained 218 providers; 63 received X-waivers, and 23 provided MOUD (10.5% of those trained). SUPPORT provided care to 167 patients, initiated MOUD for 33, and provided education and naloxone to 72 (all = 0 in year before launch). CONCLUSIONS: SUPPORT reached many PCPs and patients and resulted in small increases in MOUD prescribing and high levels of stakeholder satisfaction. Dedicated clinical staff was key to observed successes. Although resource-intensive, SUPPORT offers a potential model for outpatient MOUD provision.

Treating opioid use disorder in veterans with co-occurring substance use: a qualitative study with buprenorphine providers in primary care, mental health, and pain settings.

BACKGROUND: Most people with opioid use disorder (OUD) have co-occurring substance use, which is associated with lower receipt of OUD medications (MOUD). Expanding MOUD provision and care linkage outside of substance use disorder (SUD) specialty settings is a key strategy to increase access. Therefore, it is important to understand how MOUD providers in these settings approach care for patients with co-occurring substance use. This qualitative study of Veterans Health Administration (VA) clinicians providing buprenorphine care in primary care, mental health, and pain settings aimed to understand (1) their approach to addressing OUD in patients with co-occurring substance use, (2) perspectives on barriers/facilitators to MOUD receipt for this population, and (3) support needed to increase MOUD receipt for this population. METHODS: We interviewed a purposive sample of 27 clinicians (12 primary care, 7 mental health, 4 pain, 4 pharmacists) in the VA northwest network. The interview guide assessed domains of the Tailored Implementation for Chronic Diseases Checklist. Interviews were transcribed and qualitatively analyzed using inductive content analysis. RESULTS: Participants reported varied approaches to identifying co-occurring substance use and addressing OUD in this patient population. Although they reported that this topic was not clearly addressed in clinical guidelines or training, participants generally felt that patients with co-occurring substance use should receive MOUD. Some viewed their primary role as providing this care, others as facilitating linkage to OUD care in SUD specialty settings. Participants reported multiple barriers and facilitators to providing buprenorphine care to patients with co-occurring substance use and linking them to SUD specialty care, including provider, patient, organizational, and external factors. CONCLUSIONS: Efforts are needed to support clinicians outside of SUD specialty settings in providing buprenorphine care to patients with co-occurring substance use. These could include clearer guidelines and policies, more specific training, and increased care integration or cross-disciplinary collaboration. Simultaneously, efforts are needed to improve linkage to specialty SUD care for patients who would benefit from and are willing to receive this care, which could include increased service availability and improved referral/hand-off processes. These efforts may increase MOUD receipt and improve OUD care quality for patients with co-occurring substance use.

Integrating Alcohol-Related Prevention and Treatment Into Primary Care: A Cluster Randomized Implementation Trial.

Importance: Unhealthy alcohol use is common and affects morbidity and mortality but is often neglected in medical settings, despite guidelines for both prevention and treatment. Objective: To test an implementation intervention to increase (1) population-based alcohol-related prevention with brief interventions and (2) treatment of alcohol use disorder (AUD) in primary care implemented with a broader program of behavioral health integration. Design, Setting, and Participants: The Sustained Patient-Centered Alcohol-Related Care (SPARC) trial was a stepped-wedge cluster randomized implementation trial, including 22 primary care practices in an integrated health system in Washington state. Participants consisted of all adult patients (aged ≥18 years) with primary care visits from January 2015 to July 2018. Data were analyzed from August 2018 to March 2021. Interventions: The implementation intervention included 3 strategies: practice facilitation; electronic health record decision support; and performance feedback. Practices were randomly assigned launch dates, which placed them in 1 of 7 waves and defined the start of the practice's intervention period. Main Outcomes and Measures: Coprimary outcomes for prevention and AUD treatment were (1) the proportion of patients who had unhealthy alcohol use and brief intervention documented in the electronic health record (brief intervention) for prevention and (2) the proportion of patients who had newly diagnosed AUD and engaged in AUD treatment (AUD treatment engagement). Analyses compared monthly rates of primary and intermediate outcomes (eg, screening, diagnosis, treatment initiation) among all patients who visited primary care during usual care and intervention periods using mixed-effects regression. Results: A total of 333 596 patients visited primary care (mean [SD] age, 48 [18] years; 193 583 [58%] female; 234 764 [70%] White individuals). The proportion with brief intervention was higher during SPARC intervention than usual care periods (57 vs 11 per 10 000 patients per month; P < .001). The proportion with AUD treatment engagement did not differ during intervention and usual care (1.4 vs 1.8 per 10 000 patients; P = .30). The intervention increased intermediate outcomes: screening (83.2% vs 20.8%; P < .001), new AUD diagnosis (33.8 vs 28.8 per 10 000; P = .003), and treatment initiation (7.8 vs 6.2 per 10 000; P = .04). Conclusions and Relevance: In this stepped-wedge cluster randomized implementation trial, the SPARC intervention resulted in modest increases in prevention (brief intervention) but not AUD treatment engagement in primary care, despite important increases in screening, new diagnoses, and treatment initiation. Trial Registration: ClinicalTrials.gov Identifier: NCT02675777.

Increased documented brief alcohol interventions with a performance measure and electronic decision support.

BACKGROUND: Alcohol screening and brief interventions (BIs) are ranked the third highest US prevention priority, but effective methods of implementing BI into routine care have not been described. OBJECTIVES: This study evaluated the prevalence of documented BI among Veterans Affairs (VA) outpatients with alcohol misuse before, during, and after implementation of a national performance measure (PM) linked to incentives and dissemination of an electronic clinical reminder (CR) for BI. METHODS: VA outpatients were included in this study if they were randomly sampled for national medical record reviews and screened positive for alcohol misuse (Alcohol Use Disorders Identification Test-Consumption score ≥5) between July 2006 and September 2008 (N=6788). Consistent with the PM, BI was defined as documented advice to reduce or abstain from drinking plus feedback linking drinking to health. The prevalence of BI was evaluated among outpatients who screened positive for alcohol misuse during 4 successive phases of BI implementation: baseline year (n=3504), after announcement (n=753) and implementation (n=697) of the PM, and after CR dissemination (n=1834), unadjusted and adjusted for patient characteristics. RESULTS: Among patients with alcohol misuse, the adjusted prevalence of BI increased significantly over successive phases of BI implementation, from 5.5% (95% CI 4.1%-7.5%), 7.6% (5.6%-10.3%), 19.1% (15.4%-23.7%), to 29.0% (25.0%-33.4%) during the baseline year, after PM announcement, PM implementation, and CR dissemination, respectively (test for trend P<0.001). CONCLUSIONS: A national PM supported by dissemination of an electronic CR for BI was associated with meaningful increases in the prevalence of documented brief alcohol interventions.

Quality concerns with routine alcohol screening in VA clinical settings.

BACKGROUND: Alcohol screening questionnaires have typically been validated when self- or researcher-administered. Little is known about the performance of alcohol screening questionnaires administered in clinical settings. OBJECTIVE: The purpose of this study was to compare the results of alcohol screening conducted as part of routine outpatient clinical care in the Veterans Affairs (VA) Health Care System to the results on the same alcohol screening questionnaire completed on a mailed survey within 90 days and identify factors associated with discordant screening results. DESIGN: Cross sectional. PARTICIPANTS: A national sample of 6,861 VA outpatients (fiscal years 2007-2008) who completed the AUDIT-C alcohol screening questionnaire on mailed surveys (survey screen) within 90 days of having clinical AUDIT-C screening documented in their medical records (clinical screen). MAIN MEASURES: Alcohol screening results were considered discordant if patients screened positive (AUDIT-C ≥ 5) on either the clinical or survey screen but not both. Multivariable logistic regression was used to estimate the prevalence of discordance in different patient subgroups based on demographic and clinical characteristics, VA network and temporal factors (e.g. the order of screens). KEY RESULTS: Whereas 11.1% (95% CI 10.4-11.9%) of patients screened positive for unhealthy alcohol use on the survey screen, 5.7% (5.1- 6.2%) screened positive on the clinical screen. Of 765 patients who screened positive on the survey screen, 61.2% (57.7-64.6%) had discordant results on the clinical screen, contrasted with 1.5% (1.2-1.8%) of 6096 patients who screened negative on the survey screen. In multivariable analyses, discordance was significantly increased among Black patients compared with White, and among patients who had a positive survey AUDIT-C screen or who received care at 4 of 21 VA networks. CONCLUSION: Use of a validated alcohol screening questionnaire does not-by itself-ensure the quality of alcohol screening. This study suggests that the quality of clinical alcohol screening should be monitored, even when well-validated screening questionnaires are used.

Opioid use disorder from poppy seed tea successfully treated with buprenorphine in primary care: a case report.

BACKGROUND: Poppy seeds contain morphine and other opioid alkaloids and are commercially available in the United States. Users of poppy seed tea (PST) can consume several hundred morphine milligram equivalents per day, and opioid dependence from PST use can develop. We report a case of a patient with chronic pain and PST use leading to opioid use disorder (OUD). This case represents the first published report of OUD from PST successfully treated with buprenorphine (BUP) in a primary care setting. The provider in this case used a unique model of care with an opioid prescribing support team to deliver safe and effective care. CASE PRESENTATION: A 47-year-old man with chronic pain and prescription opioid use presented to primary care to discuss a flare of shoulder pain, and revealed in subsequent conversation a long-standing use of PST to supplement pain control. Attempts at cessation resulted in severe withdrawal symptoms, leading to return to PST use. The primary care provider consulted the VA Puget Sound SUpporting Primary care Providers in Opioid Risk reduction and Treatment (SUPPORT) team to evaluate the patient for OUD. The patient discontinued all opioids, and initiated BUP under the supervision of the primary care provider. He remained on a stable dosage, without relapse, 24 months later. CONCLUSIONS: PST, which can be made through purchase of readily available poppy pods, carries risk for development of OUD and overdose. Herein we highlight the utility of a primary care opioid prescribing support team in empowering a primary care provider to prescribe BUP to treat a patient with complex OUD.

Use of an electronic clinical reminder for brief alcohol counseling is associated with resolution of unhealthy alcohol use at follow-up screening.

BACKGROUND/OBJECTIVE: Brief alcohol counseling is a foremost US prevention priority, but no health-care system has implemented it into routine care. This study evaluated the effectiveness of an electronic clinical reminder for brief alcohol counseling ("reminder"). The specific aims were to (1) determine the prevalence of use of the reminder and (2) evaluate whether use of the reminder was associated with resolution of unhealthy alcohol use at follow-up screening. METHODS: The reminder was implemented in February 2004 in eight VA clinics where providers routinely used clinical reminders. Patients eligible for this retrospective cohort study screened positive on the AUDIT-C alcohol screening questionnaire (February 2004-April 2006) and had a repeat AUDIT-C during the 1-36 months of follow-up (mean 14.5). Use of the alcohol counseling clinical reminder was measured from secondary electronic data. Resolution of unhealthy alcohol use was defined as screening negative at follow-up with a >/=2-point reduction in AUDIT-C scores. Logistic regression was used to identify adjusted proportions of patients who resolved unhealthy alcohol use among those with and without reminder use. RESULTS: Among 4,198 participants who screened positive for unhealthy alcohol use, 71% had use of the alcohol counseling clinical reminder documented in their medical records. Adjusted proportions of patients who resolved unhealthy alcohol use were 31% (95% CI 30-33%) and 28% (95% CI 25-30%), respectively, for patients with and without reminder use (p-value = 0.031). CONCLUSIONS: The brief alcohol counseling clinical reminder was used for a majority of patients with unhealthy alcohol use and associated with a moderate decrease in drinking at follow-up.

Costs of using evidence-based implementation strategies for behavioral health integration in a large primary care system.

OBJECTIVE: To describe the cost of using evidence-based implementation strategies for sustained behavioral health integration (BHI) involving population-based screening, assessment, and identification at 25 primary care sites of Kaiser Permanente Washington (2015-2018). DATA SOURCES/STUDY SETTING: Project records, surveys, Bureau of Labor Statistics compensation data. STUDY DESIGN: Labor and nonlabor costs incurred by three implementation strategies: practice coaching, electronic health records clinical decision support, and performance feedback. DATA COLLECTION/EXTRACTION METHODS: Personnel time spent on these strategies was estimated for five broad roles: (a) project leaders and administrative support, (b) practice coaches, (c) clinical decision support programmers, (d) performance metric programmers, and (e) primary care local implementation team members. PRINCIPAL FINDING: Implementation involved 286 persons, 18 131 person-hours, costing $1 587 139 or $5 per primary care visit with screening or $38 per primary care visit identifying depression, suicidal thoughts and/or alcohol or substance use disorders, in a single year. The majority of person-hours was devoted to project leadership (35%) and practice coaches (34%), and 36% of costs were for the first three sites. CONCLUSIONS: When spread across patients screened in a single year, BHI implementation costs were well within the range for commonly used diagnostic assessments in primary care (eg, laboratory tests). This suggests that implementation costs alone should not be a substantial barrier to population-based BHI.

Integration of screening, assessment, and treatment for cannabis and other drug use disorders in primary care: An evaluation in three pilot sites.

BACKGROUND: This pilot study evaluated whether use of evidence-based implementation strategies to integrate care for cannabis and other drug use into primary care (PC) as part of Behavioral Health Integration (BHI) increased diagnosis and treatment of substance use disorders (SUDs). METHODS: Patients who visited the three pilot PC sites were eligible. Implementation strategies included practice coaching, electronic health record decision support, and performance feedback (3/2015-4/2016). BHI introduced annual screening for past-year cannabis and other drug use, a Symptom Checklist for DSM-5 SUDs, and shared decision-making about treatment options. Main analyses tested whether the proportions of PC patients diagnosed with, and treated for, new cannabis or other drug use disorders (CUDs and DUDs, respectively), differed significantly pre- and post-implementation. RESULTS: Of 39,599 eligible patients, 57% and 59% were screened for cannabis and other drug use, respectively. Among PC patients reporting daily cannabis use (2%) or any drug use (1%), 51% and 37%, respectively, completed an SUD Symptom Checklist. The proportion of PC patients with newly diagnosed CUD increased significantly post-implementation (5 v 17 per 10,000 patients, p < 0.0001), but not other DUDs (10 vs 13 per 10,000, p = 0.24). The proportion treated for newly diagnosed CUDs did not increase post-implementation (1 vs 1 per 10,000, p = 0.80), but did for those treated for newly diagnosed other DUDs (1 vs 3 per 10,000, p = 0.038). CONCLUSIONS: A pilot implementation of BHI to increase routine screening and assessment for SUDs was associated with increased new CUD diagnoses and a small increase in treatment of new other DUDs.

Differences in Perceptions of and Practices Regarding Treatment of Alcohol Use Disorders Among VA Primary Care Providers in Urban and Rural Clinics.

BACKGROUND: Effective behavioral and pharmacological treatments are available and recommended for patients with alcohol use disorders (AUD) but rarely received. Barriers to receipt and provision of evidence-based AUD treatments delivered by specialists may be greatest in rural areas. METHODS: A targeted subanalysis of qualitative interview data collected from primary care providers at 5 Veterans Affairs clinics was conducted to identify differences in provider perceptions and practices regarding AUD treatment across urban and rural clinics. Key contacts were used to recruit 24 providers from 3 "urban" clinics at medical centers and 2 "rural" community-based outpatient clinics. Providers completed 30-minute semistructured interviews, which were recorded, transcribed, and analyzed using inductive content analysis. RESULTS: Thirteen urban and 11 rural providers participated. Urban and rural providers differed regarding referral practices and in perceptions of availability and utility of specialty addictions treatment. Urban providers described referral to specialty treatment as standard practice, while rural providers reported substantial barriers to specialty care access and infrequent specialty care referral. Urban providers viewed specialty addictions treatment as accessible and comprehensive, and perceived addictions providers as "experts" and collaborators, whereas rural providers perceived inadequate support from the health care system for AUD treatment. Urban providers desired greater integration with specialty addictions care while rural providers wanted access to local addictions treatment resources. CONCLUSIONS: Providers in rural settings view referral to specialty addictions treatment as impractical and resources inadequate to treat AUD. Additional work is needed to understand the unique needs of rural clinics and decrease barriers to AUD treatment.

Study protocol: a cluster-randomized trial implementing Sustained Patient-centered Alcohol-related Care (SPARC trial).

BACKGROUND: Experts recommend that alcohol-related care be integrated into primary care (PC) to improve prevention and treatment of unhealthy alcohol use. However, few healthcare systems offer such integrated care. To address this gap, implementation researchers and clinical leaders at Kaiser Permanente Washington (KPWA) partnered to design a high-quality program of evidence-based care for unhealthy alcohol use: the Sustained Patient-centered Alcohol-related Care (SPARC) program. SPARC implements systems of clinical care designed to increase both prevention and treatment of unhealthy alcohol use. This clinical care for unhealthy alcohol use was implemented using three strategies: electronic health record (EHR) decision support, performance monitoring and feedback, and front-line support from external practice coaches with expertise in alcohol-related care ("SPARC implementation intervention" hereafter). The purpose of this report is to describe the protocol of the SPARC trial, a pragmatic, cluster-randomized, stepped-wedge implementation trial to evaluate whether the SPARC implementation intervention increased alcohol screening and brief alcohol counseling (so-called brief interventions), and diagnosis and treatment of alcohol use disorders (AUDs) in 22 KPWA PC clinics. METHODS/DESIGN: The SPARC trial sample includes all adult patients who had a visit to any of the 22 primary care sites in the trial during the study period (January 1, 2015-July 31, 2018). The 22 sites were randomized to implement the SPARC program on different dates (in seven waves, approximately every 4 months). Primary outcomes are the proportion of patients with PC visits who (1) screen positive for unhealthy alcohol use and have documented brief interventions and (2) have a newly recognized AUD and subsequently initiate and engage in alcohol-related care. Main analyses compare the rates of these primary outcomes in the pre- and post-implementation periods, following recommended approaches for analyzing stepped-wedge trials. Qualitative analyses assess barriers and facilitators to implementation and required adaptations of implementation strategies. DISCUSSION: The SPARC trial is the first study to our knowledge to use an experimental design to test whether practice coaches with expertise in alcohol-related care, along with EHR clinical decision support and performance monitoring and feedback to sites, increase both preventive care-alcohol screening and brief intervention-as well as diagnosis and treatment of AUDs. TRIAL REGISTRATION: The trial is registered at ClinicalTrials.Gov: NCT02675777. Registered February 5, 2016, https://clinicaltrials.gov/ct2/show/NCT02675777 .

Alcohol-Related Nurse Care Management in Primary Care: A Randomized Clinical Trial.

Importance: Experts recommend that alcohol use disorders (AUDs) be managed in primary care, but effective approaches are unclear. Objective: To test whether 12 months of alcohol care management, compared with usual care, improved drinking outcomes among patients with or at high risk for AUDs. Design, Setting, and Participants: This randomized clinical trial was conducted at 3 Veterans Affairs (VA) primary care clinics. Between October 11, 2011, and September 30, 2014, the study enrolled 304 outpatients who reported heavy drinking (≥4 drinks per day for women and ≥5 drinks per day for men). Interventions: Nurse care managers offered outreach and engagement, repeated brief counseling using motivational interviewing and shared decision making about treatment options, and nurse practitioner-prescribed AUD medications (if desired), supported by an interdisciplinary team (CHOICE intervention). The comparison was usual primary care. Main Outcomes and Measures: Primary outcomes, assessed by blinded telephone interviewers at 12 months, were percentage of heavy drinking days in the prior 28 days measured by timeline follow-back interviews and a binary good drinking outcome, defined as abstinence or drinking below recommended limits in the prior 28 days (according to timeline follow-back interviews) and no alcohol-related symptoms in the past 3 months as measured by the Short Inventory of Problems. Results: Of 304 participants, 275 (90%) were male, 206 (68%) were white, and the mean (SD) age was 51.4 (13.8) years. At baseline, both the CHOICE intervention (n = 150) and usual care (n = 154) groups reported heavy drinking on 61% of days (95% CI, 56%-66%). During the 12-month intervention, 137 of 150 patients in the intervention group (91%) had at least 1 nurse visit, and 77 of 150 (51%) had at least 6 nurse visits. A greater proportion of patients in the intervention group than in the usual care group received alcohol-related care: 42% (95% CI, 35%-49%; 63 of 150 patients) vs 26% (95% CI, 19%-35%; 40 of 154 patients). Alcohol-related care included more AUD medication use: 32% (95% CI, 26%-39%; 48 of 150 patients in the intervention group) vs 8% (95% CI, 5%-13%; 13 of 154 patients in the usual care group). No significant differences in primary outcomes were observed at 12 months between patients in both groups. The percentages of heavy drinking days were 39% (95% CI, 32%-47%) and 35% (95% CI, 28%-42%), and the percentages of patients with a good drinking outcome were 15% (95% CI, 9%-22%; 18 of 124 patients) and 20% (95 % CI, 14%-28%; 27 of 134 patients), in the intervention and usual care groups, respectively (P = .32-.44). Findings at 3 months were similar. Conclusions and Relevance: The CHOICE intervention did not decrease heavy drinking or related problems despite increased engagement in alcohol-related care. Trial Registration: clinicaltrials.gov Identifier: NCT01400581.

Evaluation of a Pilot Implementation to Integrate Alcohol-Related Care within Primary Care.

Alcohol use is a major cause of disability and death worldwide. To improve prevention and treatment addressing unhealthy alcohol use, experts recommend that alcohol-related care be integrated into primary care (PC). However, few healthcare systems do so. To address this gap, implementation researchers and clinical leaders at Kaiser Permanente Washington partnered to design a high-quality Program of Sustained Patient-centered Alcohol-related Care (SPARC). Here, we describe the SPARC pilot implementation, evaluate its effectiveness within three large pilot sites, and describe the qualitative findings on barriers and facilitators. Across the three sites (N = 74,225 PC patients), alcohol screening increased from 8.9% of patients pre-implementation to 62% post-implementation (p < 0.0001), with a corresponding increase in assessment for alcohol use disorders (AUD) from 1.2 to 75 patients per 10,000 seen (p < 0.0001). Increases were sustained over a year later, with screening at 84.5% and an assessment rate of 81 patients per 10,000 seen across all sites. In addition, there was a 50% increase in the number of new AUD diagnoses (p = 0.0002), and a non-statistically significant 54% increase in treatment within 14 days of new diagnoses (p = 0.083). The pilot informed an ongoing stepped-wedge trial in the remaining 22 PC sites.