Time Pressure During Primary Care Office Visits: a Prospective Evaluation of Data from the Healthy Work Place Study.

BACKGROUND: The relationship between worklife factors, clinician outcomes, and time pressure during office visits is unclear. OBJECTIVE: To quantify associations between time pressure, workplace characteristics ,and clinician outcomes. DESIGN: Prospective analysis of data from the Healthy Work Place randomized trial. PARTICIPANTS: 168 physicians and advanced practice clinicians in 34 primary care practices in Upper Midwest and East Coast. MAIN MEASURES AND METHODS: Time pressure was present when clinicians needed more time than allotted to provide quality care. Other metrics included work control, work pace (calm to chaotic), organizational culture and clinician satisfaction, stress, burnout, and intent to leave the practice. Hierarchical analysis assessed relationships between time pressure, organizational characteristics, and clinician outcomes. Adjusted differences between clinicians with and without time pressure were expressed as effect sizes (ESs). KEY RESULTS: Sixty-seven percent of clinicians needed more time for new patients and 53% needed additional time for follow-up appointments. Time pressure in new patient visits was more prevalent in general internists than in family physicians (74% vs 55%, p < 0.05), women versus men (78% vs 55%, p < 0.01), and clinicians with larger numbers of complex psychosocial (81% vs 59%, p < 0.01) and Limited English Proficiency patients (95% vs 57%, p < 0.001). Time pressure in new patient visits was associated with lack of control, clinician stress, and intent to leave (ESs small to moderate, p < 0.05). Time pressure in follow-up visits was associated with chaotic workplaces and burnout (small to moderate ESs, p's < 0.05). Time pressure improved over time in workplaces with values alignment and an emphasis on quality. CONCLUSIONS: Time pressure, more common in women and general internists, was related to chaos, control and culture, and stress, burnout, and intent to leave. Future studies should evaluate these findings in larger and more geographically diverse samples.

Impact of Smoking Cessation Interventions Initiated During Hospitalization Among HIV-Infected Smokers.

INTRODUCTION: Smoking is a key determinant of mortality among people living with HIV (PLWH). METHODS: To better understand the effects of smoking cessation interventions in PLWH, we conducted a pooled analysis of four randomized controlled trials of hospital-initiated smoking interventions conducted through the Consortium of Hospitals Advancing Research on Tobacco (CHART). In each study, cigarette smokers were randomly assigned to usual care or a smoking cessation intervention. The primary outcome was self-reported past 30-day tobacco abstinence at 6-month follow-up. Abstinence rates were compared between PLWH and participants without HIV and by treatment arm, using both complete-case and intention-to-treat analyses. Multivariable logistic regression was used to determine the effect of HIV status on 6-month tobacco abstinence and to determine predictors of smoking cessation within PLWH. RESULTS: Among 5550 hospitalized smokers, there were 202 (3.6%) PLWH. PLWH smoked fewer cigarettes per day and were less likely to be planning to quit than smokers without HIV. At 6 months, cessation rates did not differ between intervention and control groups among PLWH (28.9% vs. 30.5%) or smokers without HIV (36.1% vs. 34.1%). In multivariable regression analysis, HIV status was not significantly associated with smoking cessation at 6 months. Among PLWH, confidence in quitting was the only clinical factor independently associated with smoking cessation (OR 2.0, 95% CI = 1.4 to 2.8, p < .01). CONCLUSIONS: HIV status did not alter likelihood of quitting smoking after hospital discharge, whether or not the smoker was offered a tobacco cessation intervention, but power was limited to identify potentially important differences. IMPLICATIONS: PLWH had similar quit rates to participants without HIV following a hospital-initiated smoking cessation intervention. The findings suggest that factors specific to HIV infection may not influence response to smoking cessation interventions and that all PLWH would benefit from efforts to assist in quitting smoking. TRIAL REGISTRATION: (1) Using "warm handoffs" to link hospitalized smokers with tobacco treatment after discharge: study protocol of a randomized controlled trial: NCT01305928. (2) Web-based smoking cessation intervention that transitions from inpatient to outpatient: NCT01277250. (3) Effectiveness of smoking-cessation interventions for urban hospital patients: NCT01363245. (4) Effectiveness of Post-Discharge Strategies for Hospitalized Smokers (HelpingHAND2): NCT01714323.

Implementing group visits for opioid use disorder: A case series.

Background: Group-based models of Office-Based Opioid Treatment with buprenorphine-naloxone (B/N) are increasingly being implemented in clinical practice to increase access to care and provide additional therapeutic benefits. While previous studies reported these Group-Based Opioid Treatment (GBOT) models are feasible for providers and acceptable to patients, there has been no literature to help providers with the more practical aspects of how to create and maintain GBOT in different outpatient settings. Case series: We present 4 cases of GBOT implementation across a large academic health care system, highlighting various potential approaches for providers who seek to implement GBOT and demonstrate "success" based on feasibility and sustainability of these models. For each case, we describe the pros and cons and detail the personnel and resources involved, patient mix and group format, workflow logistics, monitoring and management, and sustainability components. Discussion: The implementation details illustrate that there is no one-size-fits-all approach, although feasibility is commonly supported by a team-based, patient-centered medical home. This approach includes the capacity for referral to higher levels of mental health and addiction support services and is bolstered by ongoing provider communication and shared resources across the health system. Future research identifying the core and malleable components to implementation, their evidence base, and how they might be influenced by site-specific resources, culture, and other contextual factors can help providers better understand how to implement a GBOT model in their unique clinical environment.

Disparities in hospital smoking cessation treatment by immigrant status.

Despite the efficacy of nicotine replacement therapy (NRT) in promoting smoking cessation, no studies have been done to evaluate NRT prescribing rates among immigrants, a vulnerable minority population in the United States. The aim of this study is to explore for differences in NRT prescribing behavior by immigrant status. Participants were enrolled in a smoking cessation trial for hospitalized patients between July 2011 and April 2014 at two NYC hospitals. For this analysis, we used baseline data from patient surveys and electronic medical-record reviews to examine associations between immigrant status and prescription of NRT in-hospital and on discharge, as well as acceptance of NRT in-hospital. We included age, gender, education, health literacy, race, ethnicity, English language ability, inpatient service, and site insurance in the models as potential confounders. Our study population included 1,608 participants, of whom 21% were not born in the United States. Bivariate analysis found that nonimmigrants were more likely than immigrants to be prescribed NRT in the hospital (46.1% vs. 35.7%, p = .0006) and similarly on discharge (19.4% vs. 15.3%, p = .09). Both groups were equally likely to accept NRT in-hospital when prescribed. On multivariable analysis, being an immigrant (OR 0.65), Black race (OR 0.52), and Hispanic ethnicity (OR 0.63) were associated with lower likelihood of being prescribed NRT in-hospital. Multivariable analysis for provision of NRT prescription at discharge showed no significant difference between immigrants and nonimmigrants. These findings show differences in in-hospital smoking cessation treatment between immigrants and nonimmigrants.

Do Work Condition Interventions Affect Quality and Errors in Primary Care? Results from the Healthy Work Place Study.

BACKGROUND: While primary care work conditions are associated with adverse clinician outcomes, little is known about the effect of work condition interventions on quality or safety. DESIGN: A cluster randomized controlled trial of 34 clinics in the upper Midwest and New York City. PARTICIPANTS: Primary care clinicians and their diabetic and hypertensive patients. INTERVENTIONS: Quality improvement projects to improve communication between providers, workflow design, and chronic disease management. Intervention clinics received brief summaries of their clinician and patient outcome data at baseline. MAIN MEASURES: We measured work conditions and clinician and patient outcomes both at baseline and 6-12 months post-intervention. Multilevel regression analyses assessed the impact of work condition changes on outcomes. Subgroup analyses assessed impact by intervention category. KEY RESULTS: There were no significant differences in error reduction (19 % vs. 11 %, OR of improvement 1.84, 95 % CI 0.70, 4.82, p = 0.21) or quality of care improvement (19 % improved vs. 44 %, OR 0.62, 95 % CI 0.58, 1.21, p = 0.42) between intervention and control clinics. The conceptual model linking work conditions, provider outcomes, and error reduction showed significant relationships between work conditions and provider outcomes (p ≤ 0.001) and a trend toward a reduced error rate in providers with lower burnout (OR 1.44, 95 % CI 0.94, 2.23, p = 0.09). LIMITATIONS: Few quality metrics, short time span, fewer clinicians recruited than anticipated. CONCLUSIONS: Work-life interventions improving clinician satisfaction and well-being do not necessarily reduce errors or improve quality. Longer, more focused interventions may be needed to produce meaningful improvements in patient care. CLINICAL TRIAL REGISTRATION NUMBER: ClinicalTrials.gov # NCT02542995.

Text message reminders for improving patient appointment adherence in an office-based buprenorphine program: A feasibility study.

BACKGROUND AND OBJECTIVES: Missed visits are common in office-based buprenorphine treatment (OBOT). The feasibility of text message (TM) appointment reminders among OBOT patients is unknown. METHODS: This 6-month prospective cohort study provided TM reminders to OBOT program patients (N = 93). A feasibility survey was completed following delivery of TM reminders and at 6 months. RESULTS: Respondents reported that the reminders should be provided to all OBOT patients (100%) and helped them to adhere to their scheduled appointment (97%). At 6 months, there were no reports of intrusion to their privacy or disruption of daily activities due to the TM reminders. Most participants reported that the TM reminders were helpful in adhering to scheduled appointments (95%), that the reminders should be offered to all clinic patients (95%), and favored receiving only TM reminders rather than telephone reminders (95%). Barriers to adhering to scheduled appointment times included transportation difficulties (34%), not being able to take time off from school or work (31%), long clinic wait-times (9%), being hospitalized or sick (8%), feeling sad or depressed (6%), and child care (6%). CONCLUSIONS: This study demonstrated the acceptability and feasibility of TM appointment reminders in OBOT. Older age and longer duration in buprenorphine treatment did not diminish interest in receiving the TM intervention. Although OBOT patients expressed concern regarding the privacy of TM content sent from their providers, privacy issues were uncommon among this cohort. Scientific Significance Findings from this study highlighted patient barriers to adherence to scheduled appointments. These barriers included transportation difficulties (34%), not being able to take time off from school or work (31%), long clinic lines (9%), and other factors that may confound the effect of future TM appointment reminder interventions. Further research is also required to assess 1) the level of system changes required to integrate TM appointment reminder tools with already existing electronic medical records and appointment records software; 2) acceptability among clinicians and administrators; and 3) financial and resource constraints to healthcare systems. (Am J Addict 2017;26:581-586).

Long-term abstinence and predictors of tobacco treatment uptake among hospitalized smokers with serious mental illness enrolled in a smoking cessation trial.

Hospital patients with serious mental illness (SMI) have high rates of smoking. There are few post-discharge treatment models available for this population and limited research on their treatment uptake following discharge. This study is a secondary analysis of an RCT that compared multi-session intensive telephone counseling versus referral to state quitline counseling at two safety net hospitals in New York City. For this analysis, we selected all trial participants with a history of schizophrenia, schizoaffective disorder or bipolar disorder (N = 384) and used multivariable logistic regression to compare groups on self-reported 30-day abstinence at 6 months and to identify patient factors associated with use of tobacco treatment. Analyses found no significant group differences in abstinence 6 months (28% quitline vs. 29% intervention, p > 0.05), use of cessation medications (42% quitline vs. 47% intervention, p > 0.05) or receipt of at least one counseling call (47% quitline vs. 42% intervention, p > 0.05). Patients with hazardous drinking (p = 0.04) or perceived good health (p = 0.03) were less likely to use cessation medications. Homeless patients were less likely to use counseling (p = 0.02). Most patients did not use cessation treatment after discharge, and the intensive intervention did not improve abstinence rates over quitline referral. Interventions are needed to improve use of cessation treatment and long-term abstinence in patients with SMI.

A Cluster Randomized Trial of Interventions to Improve Work Conditions and Clinician Burnout in Primary Care: Results from the Healthy Work Place (HWP) Study.

BACKGROUND: Work conditions in primary care are associated with physician burnout and lower quality of care. OBJECTIVE: We aimed to assess if improvements in work conditions improve clinician stress and burnout. SUBJECTS: Primary care clinicians at 34 clinics in the upper Midwest and New York City participated in the study. STUDY DESIGN: This was a cluster randomized controlled trial. MEASURES: Work conditions, such as time pressure, workplace chaos, and work control, as well as clinician outcomes, were measured at baseline and at 12-18 months. A brief worklife and work conditions summary measure was provided to staff and clinicians at intervention sites. INTERVENTIONS: Diverse interventions were grouped into three categories: 1) improved communication; 2) changes in workflow, and 3) targeted quality improvement (QI) projects. ANALYSIS: Multilevel regressions assessed impact of worklife data and interventions on clinician outcomes. A multilevel analysis then looked at clinicians whose outcome scores improved and determined types of interventions associated with improvement. RESULTS: Of 166 clinicians, 135 (81.3%) completed the study. While there was no group treatment effect of baseline data on clinician outcomes, more intervention clinicians showed improvements in burnout (21.8% vs 7.1% less burned out, p = 0.01) and satisfaction (23.1% vs 10.0% more satisfied, p = 0.04). Burnout was more likely to improve with workflow interventions [Odds Ratio (OR) of improvement in burnout 5.9, p = 0.02], and with targeted QI projects than in controls (OR 4.8, p = 0.02). Interventions in communication or workflow led to greater improvements in clinician satisfaction (OR 3.1, p = 0.04), and showed a trend toward greater improvement in intention to leave (OR 4.2, p = 0.06). LIMITATIONS: We used heterogeneous intervention types, and were uncertain how well interventions were instituted. CONCLUSIONS: Organizations may be able to improve burnout, dissatisfaction and retention by addressing communication and workflow, and initiating QI projects targeting clinician concerns.

Increasing prevalence of electronic cigarette use among smokers hospitalized in 5 US cities, 2010-2013.

INTRODUCTION: Little is known about the pattern of electronic cigarette (e-cigarette) use over time or among smokers with medical comorbidity. METHODS: We assessed current cigarette smokers' use of e-cigarettes during the 30 days before admission to 9 hospitals in 5 geographically dispersed US cities: Birmingham, AL; Boston, MA; Kansas City, KS; New York, NY; and Portland, OR. Each hospital was conducting a randomized controlled trial as part of the NIH-sponsored Consortium of Hospitals Advancing Research on Tobacco (CHART). We conducted a pooled analysis using multiple logistic regression to examine changes in e-cigarette use over time and to identify correlates of e-cigarette use. RESULTS: Among 4,660 smokers hospitalized between July 2010 and December 2013 (mean age 57 years, 57% male, 71% white, 56% some college, average 14 cigarettes/day), 14% reported using an e-cigarette during the 30 days before admission. The prevalence of e-cigarette use increased from 1.1% in 2010 to 10.3% in 2011, 10.2% in 2012, and 18.4% in 2013; the increase was statistically significant (p < .0001) after adjustment for age, sex, education, and CHART study. Younger, better educated, and heavier smokers were more likely to use e-cigarettes. Smokers who were Hispanic, non-Hispanic black, and who had Medicaid or no insurance were less likely to use e-cigarettes. E-cigarette use also varied by CHART project and by geographic region. CONCLUSIONS: E-cigarette use increased substantially from 2010 to 2013 among a large sample of hospitalized adult cigarette smokers. E-cigarette use was more common among heavier smokers and among those who were younger, white, and who had higher socioeconomic status.

Psychiatric Comorbidity and Substance Use Outcomes in an Office-Based Buprenorphine Program Six Months Following Hurricane Sandy.

BACKGROUND: On October 2012, Hurricane Sandy struck New York City, resulting in unprecedented damages, including the temporary closure of Bellevue Hospital Center and its primary care office-based buprenorphine program. OBJECTIVES: At 6 months, we assessed factors associated with higher rates of substance use in buprenorphine program participants that completed a baseline survey one month post-Sandy (i.e. shorter length of time in treatment, exposure to storm losses, a pre-storm history of positive opiate urine drug screens, and post-disaster psychiatric symptoms). METHODOLOGY: Risk factors of interest extracted from the electronic medical records included pre-disaster diagnosis of Axis I and/or II disorders and length of treatment up to the disaster. Factors collected from the baseline survey conducted approximately one month post-Sandy included self-reported buprenorphine supply disruption, health insurance status, disaster exposure, and post-Sandy screenings for PTSD and depression. Outcome variables reviewed 6 months post-Sandy included missed appointments, urine drug results for opioids, cocaine, and benzodiazepines. RESULTS: 129 (98%) patients remained in treatment at 6 months, and had no sustained increases in opioid-, cocaine-, and benzodiazepine-positive urine drug tests in any sub-groups with elevated substance use in the baseline survey. Contrary to our initial hypothesis, diagnosis of Axis I and/or II disorders pre-Sandy were associated with significantly less opioid-positive urine drug findings in the 6 months following Sandy compared to the rest of the clinic population. CONCLUSION: These findings demonstrate the adaptability of a safety net buprenorphine program to ensure positive treatment outcomes despite disaster-related factors.

Psychiatric comorbidity, red flag behaviors, and associated outcomes among office-based buprenorphine patients following Hurricane Sandy.

In October 2012, Bellevue Hospital Center (Bellevue) in New York City was temporarily closed as a result of Hurricane Sandy, the largest hurricane in US history. Bellevue's primary care office-based buprenorphine program was temporarily closed and later relocated to an affiliate public hospital. Previous research indicates that the relationships between disaster exposure, substance use patterns, psychiatric symptoms, and mental health services utilization is complex, with often conflicting findings regarding post-event outcomes (on the individual and community level) and antecedent risk factors. In general, increased use of tobacco, alcohol, and illicit drugs is associated with both greater disaster exposure and the development or exacerbation of other psychiatric symptoms and need for treatment. To date, there is limited published information regarding post-disaster outcomes among patients enrolled in office-based buprenorphine treatment, as the treatment modality has only been relatively approved recently. Patients enrolled in the buprenorphine program at the time of the storm were surveyed for self-reported buprenorphine adherence and illicit substance and alcohol use, as well as disaster-related personal consequences and psychiatric sequelae post-storm. Baseline demographic characteristics and insurance status were available from the medical record. Analysis was descriptive (counts and proportions) and qualitative, coding open-ended responses for emergent themes. There were 132 patients enrolled in the program at the time of the storm; of those, 91 were contacted and 89 completed the survey. Almost half of respondents reported disruption of their buprenorphine supply. Unexpectedly, patients with psychiatric comorbidity were no more likely to report increased use/relapse as a result. Rather, major risk factors associated with increased use or relapse post-storm were: (1) shorter length of time in treatment, (2) exposure to storm losses such as buprenorphine supply disruption, (3) a pre-storm history of red flag behaviors (in particular, repeat opioid-positive urines), and (4) new-onset post-storm psychiatric symptoms. Our findings highlight the relative resilience of buprenorphine as an office-based treatment modality for patients encountering a disaster with associated unanticipated service disruption. In responding to future disasters, triaging patient contact and priority based on a history of red-flag behaviors, rather than a history of psychiatric comorbidity, will likely optimize resource allocation, especially among recently enrolled patients. Additionally, patients endorsing new-onset psychiatric manifestations following disasters may be an especially high-risk group for poor outcomes, warranting further study.

Buprenorphine-naloxone maintenance following release from jail.

Primary care is understudied as a reentry drug and alcohol treatment setting. This study compared treatment retention and opioid misuse among opioid-dependent adults seeking buprenorphine/naloxone maintenance in an urban primary care clinic following release from jail versus community referrals. Postrelease patients were either (a) induced to buprenorphine in-jail as part of a clinical trial, or (b) seeking buprenorphine induction post release. From 2007 to 2008, N = 142 patients were new to primary care buprenorphine: n = 32 postrelease; n = 110 induced after community referral and without recent incarceration. Jail-released patients were more likely African American or Hispanic and uninsured. Treatment retention rates for postrelease (37%) versus community (30%) referrals were similar at 48 weeks. Rates of opioid positive urines and self-reported opioid misuse were also similar between groups. Postrelease patients in primary care buprenorphine treatment had equal treatment retention and rates of opioid abstinence versus community-referred patients.

Randomised, pragmatic, waitlist controlled trial of cannabis added to prescription opioid support on opioid dose reduction and pain in adults with chronic non-cancer pain: study protocol.

INTRODUCTION: Chronic, non-cancer pain impacts approximately 50 million adults in the USA (20%), approximately 25% of whom receive chronic prescription opioids for pain despite limited empirical efficacy data and strong dose-related risk for opioid use disorder and opioid overdose. Also despite lack of efficacy data, there are many reports of people using cannabis products to manage chronic pain and replace or reduce chronic opioids. Here we describe the protocol for a randomised trial of the effect of cannabis, when added to a behavioural pain management and prescription opioid taper support programme, on opioid utilisation, pain intensity and pain interference. METHODS: This is a pragmatic, single-blind, randomised, wait-list controlled trial that aims to enrol 250 adults taking prescription opioids at stable doses of ≥25 morphine milligram equivalents per day for chronic non-cancer pain who express interest in using cannabis to reduce their pain, their opioid dose or both. All participants will be offered a weekly, 24-session Prescription Opioid Taper Support group behavioural pain management intervention. Participants will be randomly assigned in 1:1 ratio to use cannabis products, primarily from commercial cannabis dispensaries or to abstain from cannabis use for 6 months. Coprimary outcomes are change in prescription monitoring programme-verified opioid dose and change in Pain, Enjoyment, General Activity scale scores. Secondary outcomes include quality of life, depression, anxiety, self-reported opioid dose and opioid and cannabis use disorder symptoms. All other outcomes will be exploratory. We will record adverse events. ETHICS AND DISSEMINATION: This study has ethical approval by the Massachusetts General Brigham Institutional Review Board (#2021P000871). Results will be published in peer-reviewed journals and presented at national conferences. TRIAL REGISTRATION NUMBER: NCT04827992.

Responding to COVID-19 through an integrated primary care/behavioral health program.

Background and Implementation: Novel coronavirus disease 2019 (COVID-19) has presented unique challenges for patients and health care systems, including a surge in behavioral health (BH) needs. A community teaching public hospital system in Massachusetts (MA) whose 13 primary care (PC) clinics serve a diverse patient population, has developed a model for Primary Care Behavioral Health Integration (PCBHI) to provide brief, evidence-based interventions to patients in PC. In response to COVID-19, the system developed an intensive community management strategy to care for patients with COVID-19 outside of the hospital, and its PCBHI program adapted alongside this strategy to provide rapid support to patients in emotional distress. Over a 13-week period, 78 patients were specifically referred to the PCBHI COVID clinic and received rapid therapeutic support and/or care navigation. Recommendations: This article will discuss the development and implementation of the PCBHI COVID clinic, common presenting issues and clinical interventions used, and lessons that informed our adaptation of clinic operations and that can serve as recommendations to other health systems in establishing similar services. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Primary Care Behavioral Health Integration for Anxiety Management in a Safety-Net Health Care System.

This report describes the implementation of a primary care behavioral health integration program for anxiety management at Cambridge Health Alliance (CHA), a safety-net health care system. Using a staged implementation process, CHA built upon existing capacities to create a comprehensive infrastructure for managing behavioral health conditions in primary care.

Home buprenorphine/naloxone induction in primary care.

BACKGROUND: Buprenorphine can be used for the treatment of opioid dependence in primary care settings. National guidelines recommend directly observed initial dosing followed by multiple in-clinic visits during the induction week. We offered buprenorphine treatment at a public hospital primary care clinic using a home, unobserved induction protocol. METHODS: Participants were opioid-dependent adults eligible for office-based buprenorphine treatment. The initial physician visit included assessment, education, induction telephone support instructions, an illustrated home induction pamphlet, and a 1-week buprenorphine/naloxone prescription. Patients initiated dosing off-site at a later time. Follow-up with urine toxicology testing occurred at day 7 and thereafter at varying intervals. Primary outcomes were treatment status at week 1 and induction-related events: severe precipitated withdrawal, other buprenorphine-prompted withdrawal symptoms, prolonged unrelieved withdrawal, and serious adverse events (SAEs). RESULTS: Patients (N = 103) were predominantly heroin users (68%), but also prescription opioid misusers (18%) and methadone maintenance patients (14%). At the end of week 1, 73% were retained, 17% provided induction data but did not return to the clinic, and 11% were lost to follow-up with no induction data available. No cases of severe precipitated withdrawal and no SAEs were observed. Five cases (5%) of mild-to-moderate buprenorphine-prompted withdrawal and eight cases of prolonged unrelieved withdrawal symptoms (8% overall, 21% of methadone-to-buprenorphine inductions) were reported. Buprenorphine-prompted withdrawal and prolonged unrelieved withdrawal symptoms were not associated with treatment status at week 1. CONCLUSIONS: Home buprenorphine induction was feasible and appeared safe. Induction complications occurred at expected rates and were not associated with short-term treatment drop-out.

Augmenting Mental Health in Primary Care: A 1-Year Study of Deploying Smartphone Apps in a Multi-site Primary Care/Behavioral Health Integration Program.

Background: Integrating behavioral health (BH) services into primary care is an evidence-based intervention that can increase access to care, improve patient outcomes, and decrease costs. Digital technology, including smartphone apps, has the potential to augment and extend the reach of these integrated behavioral health services through self-management support impacting lifestyle behaviors. To date, the feasibility and acceptability of using mental health mobile apps within an integrated primary care setting has not yet been explored as part of routine clinical care. Objectives: The objectives of this study were to (a) test the feasibility of using mental health applications to augment integrated primary care services; (b) solicit feedback from patients and providers to guide implementation, and (c) develop a mental health apps toolkit for system-wide dissemination. Methods: Cambridge Health Alliance (CHA) is a safety-net healthcare system that includes three community hospitals and 12 Primary Care (PC) clinics serving nearly 150,000 ethnically and socioeconomically diverse patients around Boston. To select and disseminate mental health apps, a four-phase implementation was undertaken: (1) Evaluation of mental health mobile applications (2) Development of an apps toolkit with stakeholder input, (3) Conducting initial pilot at six primary care locations, and (4) Rolling out the app toolkit across 12 primary care sites and conducting 1-year follow-up survey. Results: Among BH providers, 24 (75%) responded to the follow-up survey and 19 (83%) indicated they use apps as part of their clinical care. Anxiety was the most common condition for which app use was recommended by providers, and 10 (42%) expressed interest in further developing their knowledge of mental health apps. Among patients, 35 (65%) of participants provided feedback; 23 (66%) reported the tools to be helpful, especially for managing stress and anxiety. Conclusions: Our findings indicate mental health apps are applicable and relevant to patients within integrated primary care settings in safety-net health systems. Behavioral health providers perceive the clinical value of using these tools as part of patient care, but require training to increase their comfort-level and confidence applying these tools with patients. To increase provider and patient engagement, mobile apps must be accessible, simple, intuitive and directly relevant to patients' treatment needs.

Building a Group-Based Opioid Treatment (GBOT) blueprint: a qualitative study delineating GBOT implementation.

BACKGROUND: Group-Based Opioid Treatment (GBOT) has recently emerged as a mechanism for treating patients with opioid use disorder (OUD) in the outpatient setting. However, the more practical "how to" components of successfully delivering GBOT has received little attention in the medical literature, potentially limiting its widespread implementation and utilization. Building on a previous case series, this paper delineates the key components to implementing GBOT by asking: (a) What are the core components to GBOT implementation, and how are they defined? (b) What are the malleable components to GBOT implementation, and what conceptual framework should providers use in determining how to apply these components for effective delivery in their unique clinical environment? METHODS: To create a blueprint delineating GBOT implementation, we integrated findings from a previously conducted and separately published systematic review of existing GBOT studies, conducted additional literature review, reviewed best practice recommendations and policies related to GBOT and organizational frameworks for implementing health systems change. We triangulated this data with a qualitative thematic analysis from 5 individual interviews and 2 focus groups representing leaders from 5 different GBOT programs across our institution to identify the key components to GBOT implementation, distinguish "core" and "malleable" components, and provide a conceptual framework for considering various options for implementing the malleable components. RESULTS: We identified 6 core components to GBOT implementation that optimize clinical outcomes, comply with mandatory policies and regulations, ensure patient and staff safety, and promote sustainability in delivery. These included consistent group expectations, team-based approach to care, safe and confidential space, billing compliance, regular monitoring, and regular patient participation. We identified 14 malleable components and developed a novel conceptual framework that providers can apply when deciding how to employ each malleable component that considers empirical, theoretical and practical dimensions. CONCLUSION: While further research on the effectiveness of GBOT and its individual implementation components is needed, the blueprint outlined here provides an initial framework to help office-based opioid treatment sites implement a successful GBOT approach and hence potentially serve as future study sites to establish efficacy of the model. This blueprint can also be used to continuously monitor how components of GBOT influence treatment outcomes, providing an empirical framework for the ongoing process of refining implementation strategies.

Characteristics of Health Care Organizations Associated With Clinician Trust: Results From the Healthy Work Place Study.

Importance: There is new emphasis on clinician trust in health care organizations but little empirical data about the association of trust with clinician satisfaction and retention. Objective: To examine organizational characteristics associated with trust. Design, Setting, and Participants: This prospective cohort study uses data collected from 2012 to 2014 from 34 primary care practices employing physicians (family medicine and general internal medicine) and advanced practice clinicians (nurse practitioners and physician assistants) in the upper Midwest and East Coast of the United States as part of the Healthy Work Place randomized clinical trial. Analyses were performed from 2015 to 2016. Main Outcomes and Measures: Clinician trust was measured using a 5-item scale, including belonging, loyalty, safety focus, sense of trust, and responsibility to clinicians in need (range, 1-4, with 1 indicating low and 4 indicating high; Cronbach α = 0.77). Other metrics included work control, work atmosphere (calm to chaotic), organizational culture (cohesiveness, emphases on quality and communication, and values alignment; range, 1-4, with 1 indicating low and 4 indicating high), and clinician stress (range, 1-5, with 1 indicating low and 5 indicating high), satisfaction (range, 1-5, with 1 indicating low and 4 indicating high), burnout (range, 1-5, with 1 indicating no burnout and 5 indicating very high feeling of burnout), and intention to leave (range, 1-5, with 1 indicating no intention to leave and 5 indicating definite intention to leave). Analyses included 2-level hierarchical modeling controlling for age, sex, specialty, and clinician type. Cohen d effect sizes (ESs) were considered small at 0.20, moderate at 0.50, and large at 0.80 or more. Results: The study included 165 clinicians (mean [SD] age, 47.3 [9.2] years; 86 [52.1%] women). Of these, 143 (87.7%) were physicians and 22 (13.3%) were advanced practice clinicians; 105 clinicians (63.6%) worked in family medicine, and 60 clinicians (36.4%) worked in internal medicine. Compared with clinicians with low levels of trust, clinicians who reported high levels of trust had higher mean (SD) scores for work control (2.49 [0.52] vs 2.18 [0.45]; P < .001), cohesiveness (3.11 [0.46] vs 2.51 [0.51]; P < .001), emphasis on quality vs productivity (3.12 [0.48] vs 2.58 [0.41]; P < .001), emphasis on communication (3.39 [0.41] vs 3.01 [0.44]; P < .001), and values alignment (2.61 [0.59] vs 2.12 [0.52]; P < .001). Men were more likely than women to express loyalty (ES, 0.35; 95% CI, 0.05-0.66; P = .02) and high trust (ES, 0.31; 95% CI, 0.01-0.62; P = .04). Compared with clinicians with low trust at baseline, clinicians with high trust at baseline had a higher mean (SD) satisfaction score (3.99 [0.08] vs 3.51 [0.07]; P < .001; ES, 0.70; 95% CI, 0.39-1.02). Compared with clinicians in whom trust declined or remained low, clinicians with improved or stable high trust reported higher mean (SD) satisfaction (4.01 [0.07] vs 3.43 [0.06]; P < .001; ES, 0.98; 95% CI, 0.66-1.31) and lower stress (3.21 [0.09] vs 3.53 [0.09]; P = .02; ES, -0.39; 95% CI, -0.70 to -0.08) scores and had approximately half the odds of intending to leave (odds ratio, 0.481; 95% CI, 0.241-0.957; P = .04). Conclusions and Relevance: Addressing low levels of trust by improving work control and emphasizing quality, cohesion, communication, and values may improve clinician satisfaction, stress, and retention.