Collaborative care to improve the management of depressive disorders: a community guide systematic review and meta-analysis

Association Between Antenatal Depression Symptom Trajectories and Preterm Birth

OBJECTIVE

To evaluate whether, among pregnant people referred for mental health care, improvement in antenatal depression symptoms before delivery was associated with a reduction in preterm birth.

METHODS

This retrospective cohort study included all pregnant people referred to a perinatal collaborative care program for mental health care who delivered between March 2016 and March 2021. Those referred to the collaborative care program had access to subspecialty mental health treatment, including psychiatric consultation, psychopharmacotherapy, and psychotherapy. Depression symptoms were monitored with the self-reported PHQ-9 (Patient Health Questionnarie-9) screens in a patient registry. Antenatal depression trajectories were determined by comparing the earliest prenatal PHQ-9 score after collaborative care referral with the score closest to delivery. Trajectories were categorized as improved, stable, or worsened according to whether PHQ-9 scores changed by at least 5 points. Bivariable analyses were performed. A propensity score was generated to control for confounders that were significantly different on bivariable analyses according to trajectories. This propensity score was then included in multivariable models.

RESULTS

Of the 732 pregnant people included, 523 (71.4%) had mild or more severe depressive symptoms (PHQ-9 score 5 or higher) on their initial screen. Antenatal depression symptoms improved in 256 (35.0%), remained stable in 437 (59.7%), and worsened in 39 (5.3%); the corresponding incidence of preterm birth was 12.5%, 14.0%, and 30.8%, respectively ( P =.009). Compared with those with a worsened trajectory, pregnant people who had an improved antenatal depression symptom trajectory had a significantly decreased odds of preterm birth (adjusted odds ratio 0.37, 95% CI 0.15-0.89).

CONCLUSION

Compared with worsened symptoms, an improved antenatal depression symptom trajectory is associated with decreased odds of preterm birth for pregnant people referred for mental health care. These data further underscore the public health importance of incorporating mental health care into routine obstetric care.

Implementation Barriers and Experiences of Eligible Patients Who Failed to Enroll in Collaborative Care for Depression and Anxiety

BACKGROUND

Effective and efficient implementation of the Collaborative Care Model (CoCM) for depression and anxiety is imperative for program success. Studies examining barriers to implementation often omit patient perspectives.

OBJECTIVES

To explore experiences and attitudes of eligible patients referred to CoCM who declined participation or were unable to be reached, and identify implementation barriers to inform strategies.

DESIGN

Convergent mixed-methods study with a survey and interview.

PARTICIPANTS

Primary care patients at an academic medical center who were referred to a CoCM program for anxiety and depression by their primary care clinician (PCC) but declined participation or were unable to be reached by the behavioral health care manager to initiate care (n = 80). Interviews were conducted with 45 survey respondents.

MAIN MEASURES

Survey of patients' referral experiences and behavioral health preferences as they related to failing to enroll in the program. Interview questions were developed using the Consolidated Framework for Implementation Research version 2.0 (CFIR 2.0) to identify implementation barriers to enrollment.

KEY RESULTS

Survey results found that patients were uncertain about insurance coverage, did not understand the program, and felt services were not necessary. Referred patients who declined participation were concerned about how their mental health information would be used and preferred treatment without medication. Men agreed more that they did not need services. Qualitative results exhibited a variety of implementation determinants (n = 23) across the five CFIR 2.0 domains. Barriers included mental health stigma, perceiving behavioral health as outside of primary care practice guidelines, short or infrequent primary care appointments, prioritizing physical health over mental health, receiving inaccurate program information, low motivation to engage, and a less established relationship with their PCC.

CONCLUSIONS

Multiple barriers to enrollment led to failing to link patients to care, which can inform implementation strategies to address the patient-reported experiences and concerns.

A theory-informed, rapid cycle approach to identifying and adapting strategies to promote sustainability: optimizing depression treatment in primary care clinics seeking to sustain collaborative care (The Transform DepCare Study)

BACKGROUND

Few real-world examples exist of how best to select and adapt implementation strategies that promote sustainability. We used a collaborative care (CC) use case to describe a novel, theory-informed, stakeholder engaged process for operationalizing strategies for sustainability using a behavioral lens.

METHODS

Informed by the Dynamic Sustainability Framework, we applied the Behaviour Change Wheel to our prior mixed methods to identify key sustainability behaviors and determinants of sustainability before specifying corresponding intervention functions, behavior change techniques, and implementation strategies that would be acceptable, equitable and promote key tenets of sustainability (i.e., continued improvement, education). Drawing on user-centered design principles, we enlisted 22 national and local stakeholders to operationalize and adapt (e.g., content, functionality, workflow) a multi-level, multi-component implementation strategy to maximally target behavioral and contextual determinants of sustainability.

RESULTS

After reviewing the long-term impact of early implementation strategies (i.e., external technical support, quality monitoring, and reimbursement), we identified ongoing care manager CC delivery, provider treatment optimization, and patient enrollment as key sustainability behaviors. The most acceptable, equitable, and feasible intervention functions that would facilitate ongoing improvement included environmental restructuring, education, training, modeling, persuasion, and enablement. We determined that a waiting room delivered shared decision-making and psychoeducation patient tool (DepCare), the results of which are delivered to providers, as well as ongoing problem-solving meetings/local technical assistance with care managers would be the most acceptable and equitable multi-level strategy in diverse settings seeking to sustain CC programs. Key adaptations in response to dynamic contextual factors included expanding the DepCare tool to incorporate anxiety/suicide screening, triage support, multi-modal delivery, and patient activation (vs. shared decision making) (patient); pairing summary reports with decisional support and yearly onboarding/motivational educational videos (provider); incorporating behavioral health providers into problem-solving meetings and shifting from billing support to quality improvement and triage (system).

CONCLUSION

We provide a roadmap for designing behavioral theory-informed, implementation strategies that promote sustainability and employing user-centered design principles to adapt strategies to changing mental health landscapes.

Systematic Review of Online Interventions to Reduce Perinatal Mood and Anxiety Disorders in Underserved Populations

BACKGROUND

Online health interventions increase access to care, are acceptable to end users and effective for treating mental and physical health disorders. However, less is known about interventions to prevent and treat perinatal mood and anxiety disorders (PMADs). This review synthesizes existing research on PMAD prevention and treatment by exploring the treatment modalities and efficacy of online interventions and examining the inclusion of underserved populations in PMAD research.

METHODS

Using PRISMA guidelines, authors conducted a systematic review of peer-reviewed literature published between 2008 and 2018 on online interventions aimed to prevent or treat PMADs. The authors also assessed quality. Eligible articles included perinatal women participating in preventive studies or those aimed to reduce symptoms of PMADs and utilized a Web-based, Internet, or smartphone technology requiring an online component. This study excluded telephone-based interventions that required one-on-one conversations or individualized, text-based responses without a Web-based aspect.

RESULTS

The initial search yielded 511 articles, and the final analysis included 23 articles reporting on 22 interventions. Most studies used an experimental design. However, no study achieved an excellent or good quality rating. Psychoeducation and cognitive-behavioral therapies (CBTs) were most common. Several interventions using CBT strategies significantly decreased depression or anxiety. Four studies recruited and enrolled mainly people identifying as low-income or of a racial or ethnic minority group. Attrition was generally high across studies.

DISCUSSION

More research using rigorous study designs to test PMAD interventions across all perinatal times is needed. Future research needs to engage diverse populations purposefully.

How collaborative mental health care for competitive and high-performance athletes is implemented: A novel interdisciplinary case study

Introduction

Collaborative care is considered a best practice in mental health care delivery and has recently been applied in high-performance sport to address athletes' mental health needs. However, how the collaborative process unfolds in practice in the sport setting has not yet been well documented. The purpose of this illustrative case study was to investigate a novel interdisciplinary approach used within the Canadian Centre for Mental Health and Sport (CCMHS) to provide mental health care to clients. Focusing on 'how' the approach was implemented, the aim of the study was to provide insight into the collaboration that occurred between mental performance and mental health practitioners to provide care to a high-performance athlete over an 11-month period, as well as factors facilitating and impeding the team's collaboration. The case involved three practitioners and a 16-year-old female athlete experiencing chronic pain, low mood, and elevated anxiety.

Methods

In the first phase of the data collection process, each practitioner engaged in guided reflective journaling to describe the case and reflect on their practice and outcomes. During the second phase, practitioners co-created a case timeline to describe the collaborative process using clinical documents. Lastly, practitioners participated in collaborative reflection to collectively reflect more broadly on collaboration practice occurring within the CCMHS and Canadian sport system.

Results

The data depict a complex care process in which the necessity and intensity of collaboration was primarily driven by the client's symptoms and needs. A content analysis showed that collaboration was facilitated by the CCMHS' secure online platform and tools, as well as individual practitioner and team characteristics. Collaboration was, however, hindered by logistical challenges, overlapping scopes of practice, and client characteristics.

Discussion

Overall, there were more perceived benefits than drawbacks to providing collaborative care. While flexibility was required during the process, deliberate and systematic planning helped to ensure success. Factors such as interdependence of collaborative practice, complementarity of practice within care teams, compensation for collaboration, in-person versus virtual delivery, and intricacies of care coordination should be further examined in the future to optimize collaborative mental health care in sport.

Predicting Poor Outcomes Among Individuals Seeking Care for Major Depressive Disorder

Objective

To develop and validate algorithms to identify individuals with major depressive disorder (MDD) at elevated risk for suicidality or for an acute care event.

Methods

We conducted a retrospective cohort analysis among adults with MDD diagnosed between January 1, 2018 and February 28, 2019. Generalized estimating equation models were developed to predict emergency department (ED) visit, inpatient hospitalization, acute care visit (ED or inpatient), partial-day hospitalization, and suicidality in the year following diagnosis. Outcomes (per 1000 patients per month, PkPPM) were categorized as all-cause, psychiatric, or MDD-specific and combined into composite measures. Predictors included demographics, medical and pharmacy utilization, social determinants of health, and comorbid diagnoses as well as features indicative of clinically relevant changes in psychiatric health. Models were trained on data from 1.7M individuals, with sensitivity, positive predictive value, and area-under-the-curve (AUC) derived from a validation dataset of 0.7M.

Results

Event rates were 124.0 PkPPM (any outcome), 21.2 PkPPM (psychiatric utilization), and 7.6 PkPPM (suicidality). Among the composite models, the model predicting suicidality had the highest AUC (0.916) followed by any psychiatric acute care visit (0.891) and all-cause ED visit (0.790). Event-specific models all achieved an AUC >0.87, with the highest AUC noted for partial-day hospitalization (AUC = 0.938). Select predictors of all three outcomes included younger age, Medicaid insurance, past psychiatric ED visits, past suicidal ideation, and alcohol use disorder diagnoses, among others.

Conclusions

Analytical models derived from clinically-relevant features identify individuals with MDD at risk for poor outcomes and can be a practical tool for health care organizations to divert high-risk populations into comprehensive care models.

Facilitators and barriers for implementing the integrated behavioural health care model in the USA: An integrative review

The integrated behavioural health care (IBHC) model incorporates mental health services with primary care. This service model is widely advocated due to its increasing access to health care and cost-saving. By connecting individuals with mental illnesses with a primary care provider, this model of care promotes collaboration between interdisciplinary teams, and therefore, increases health equity, decreases stigma, and increases patient satisfaction. This integrative review aimed to examine and synthesize available literature on facilitators and barriers related to the IBHC model implementation in the United States. An integrative review methodology by Whittemore and Knafl was utilized, and data evaluation was based on the JBI Critical Appraisal Checklist. The social-ecological model guided the review. Twenty-two articles were analysed, and nine themes were identified, which were further organized according to the five levels of the social-ecological model and consisted of intrapersonal level - patient-centered care; interpersonal level - relationships; community level - physical accessibility; organizational level - operation and infrastructure, team approach, training in behavioural health, electronic medical record, and staffing; and policy level - funds and health insurance. Most facilitating factors were on the organizational level and related to infrastructure, team approach, patient-centered care, and the most noted barrier was poor relationships. Nurses can increase engagement in integrated care by assuming roles that oversee patient care, foster professional collaborations, and improve relationships. Future research should focus on vulnerable populations this model serves, patients' perspectives, and the effect of telehealth.

Prevalence of Tuberculosis and Mental Disorders Comorbidity: A Systematic Review and Meta-analysis

Persons with tuberculosis (TB) also often have a mental disorder (MD). We examined TB-MD comorbidity prevalence and its impact on TB treatment outcomes as reported in studies set in the United States or in the top five countries of origin (Mexico, the Philippines, India, Vietnam, and China) for non-US-born persons with TB. We searched MEDLINE, EMBASE, OVID, PsycINFO, CINAHL, and Scopus for articles published from database inception through September 2018. Of the 9 studies analyzed, one was set in the United States. The estimated pooled prevalence of comorbid TB-MD from eight non-US studies, with 2921 participants, was 34.0% [95% confidence interval (CI) 21.1%-49.5%]. Comorbid TB-MD prevalence varied by country in the studies evaluated. Additional research might elucidate the extent of TB-MD in the United States and the top five countries of origin.

Determinants of e-Mental Health Use During COVID-19: Cross-sectional Canadian Study

Background

Access to mental health treatment across Canada remains a challenge, with many reporting unmet care needs. National and provincial e-Mental health (eMH) programs have been developed over the past decade across Canada, with many more emerging during COVID-19 in an attempt to reduce barriers related to geography, isolation, transportation, physical disability, and availability.

Objective

The aim of this study was to identify factors associated with the utilization of eMH services across Canada during the COVID-19 pandemic using Andersen and Newman’s framework of health service utilization.

Methods

This study used data gathered from the 2021 Canadian Digital Health Survey, a cross-sectional, web-based survey of 12,052 Canadians aged 16 years and older with internet access. Bivariate associations between the use of eMH services and health service utilization factors (predisposing, enabling, illness level) of survey respondents were assessed using χ2 tests for categorical variables and t tests for the continuous variable. Logistic regression was used to predict the probability of using eMH services given the respondents’ predisposing, enabling, and illness-level factors while adjusting for respondents’ age and gender.

Results

The proportion of eMH service users among survey respondents was small (883/12,052, 7.33%). Results from the logistic regression suggest that users of eMH services were likely to be those with regular family physician access (odds ratio [OR] 1.57, P=.02), living in nonrural communities (OR 1.08, P<.001), having undergraduate (OR 1.40, P=.001) or postgraduate (OR 1.48, P=.003) education, and being eHealth literate (OR 1.05, P<.001). Those with lower eMH usage were less likely to speak English at home (OR 0.06, P<.001).

Conclusions

Our study provides empirical evidence on the impact of individual health utilization factors on the use of eMH among Canadians during the COVID-19 pandemic. Given the opportunities and promise of eMH services in increasing access to care, future digital interventions should both tailor themselves toward users of these services and consider awareness campaigns to reach nonusers. Future research should also focus on understanding the reasons behind the use and nonuse of eMH services.

A Cluster-Randomized Clinical Trial to Decrease Prescription Opioid Misuse: Improving the Safety of Opioid Therapy (ISOT)

BACKGROUND

Interventions to reduce harms related to prescription opioids are needed in primary care settings.

OBJECTIVE

To determine whether a multicomponent intervention, Improving the safety of opioid therapy (ISOT), is efficacious in reducing prescription opioid harms.

DESIGN

Clinician-level, cluster randomized clinical trial. ( ClinicalTrials.gov : NCT02791399) SETTING: Eight primary care clinics at 1 Veterans Affairs health care system.

PARTICIPANTS

Thirty-five primary care clinicians and 286 patients who were prescribed long-term opioid therapy (LTOT).

INTERVENTION

All clinicians participated in a 2-hour educational session on patient-centered care surrounding opioid adherence monitoring and were randomly assigned to education only or ISOT. ISOT is a multicomponent intervention that included a one-time consultation by an external clinician to the patient with monitoring and feedback to clinicians over 12 months.

MAIN MEASURES

The primary outcomes were changes in risk for prescription opioid misuse (Current Opioid Misuse Measure) and urine drug test results. Secondary outcomes were quality of the clinician-patient relationship, other prescription opioid safety outcomes, changes in clinicians' opioid prescribing characteristics, and a non-inferiority analysis of changes in pain intensity and functioning.

KEY RESULTS

ISOT did not decrease risk for prescription opioid misuse (difference between groups = -1.12, p = 0.097), likelihood of an aberrant urine drug test result (difference between groups = -0.04, p=0.401), or measures of the clinician-patient relationship. Participants allocated to ISOT were more likely to discontinue prescription opioids (20.0% versus 8.1%, p = 0.007). ISOT did not worsen participant-reported scores of pain intensity or function.

CONCLUSIONS

ISOT did not impact risk for prescription opioid misuse but did lead to increased likelihood of prescription opioid discontinuation. More intensive interventions may be needed to impact treatment outcomes.

Factors that Sustained the Integration of Behavioral Health into Nurse-Led Primary Care

Lack of access to primary and behavioral healthcare is prevalent in communities experiencing systematically greater obstacles to healthcare. This study describes the implementation of the Coordinated Care Model in a nurse-led primary care clinic and identifies the essential factors for sustained integration. A mixed-methods explanatory sequential study design was used to collect and analyze quantitative and qualitative data. Participants reported an overall statistically significant mean increase (M = 2.47, SD ± 2.01, p < 0.001) in the level of integration pre-and post-integration. Qualitative results indicated that the optimization and accentuation of team strengths, the Lundeen model of holistic care, and addressing physical and psychological barriers lead to sustained level of integration. Integrated practices are essential in assessing and supporting the holistic needs of individuals, families, and communities. Future studies should examine facilitators or impediments to integrated practice in other healthcare settings, long-term health outcomes of clients in integrated care, and the cost-effectiveness of integration.

Mental health training programs for community pharmacists, pharmacy staff and students: A systematic review

BACKGROUND

Primary care is often the first point of contact for people living with mental disorders. Community pharmacists, pharmacy staff and students are increasingly being trained to deliver mental health care. However, there is still a gap in the literature exploring the characteristics of all available mental health training programs and their components and their influence on pharmacists, pharmacy staff and students' outcomes.

OBJECTIVES

To summarize the evidence evaluating mental health training programs completed by community pharmacists, pharmacy staff and students. More specifically, to explore the components of mental health training programs and identify those that facilitate significant improvements in outcomes.

METHODS

A systematic review was conducted following the Cochrane handbook and reported according to PRISMA guidelines. A search for published literature was conducted in three databases (PubMed, Scopus, and Web of Science) in July 2021. Eligible studies were included if they described and evaluated the impact of mental health training programs delivered to community pharmacists, pharmacy staff and pharmacy students regardless of design or comparator. The methodological quality of included studies was appraised using both the NIH quality assessment, to evaluate studies with an uncontrolled pre-post design, and the Cochrane EPOC risk of bias assessment, to evaluate studies with a controlled (randomized and non-randomized) study design.

RESULTS

Thirty-three studies were included. Most of the identified mental health training programs contained knowledge-based components and active learning activities. Changes in participants' attitudes, stigma, knowledge, confidence and skills were frequently assessed. An extensive range of self-assessment and observational instruments used to evaluate the impact of the training programs were identified. Positive improvements in participants' attitudes, knowledge and stigma were frequently identified following participation in training programs.

CONCLUSIONS

This systematic review highlights the importance of mental health training programs in increasing pharmacists', pharmacy staff and pharmacy students' skills and confidence to deliver mental health care in community pharmacy. Future research should build upon this basis and further focus on finding the most efficient measures to evaluate these training programs and assess their long-term effectiveness, allowing comparison between programs.

Assessment of a Primary Support Program: family physicians and mental health professionals' perspective

BACKGROUND

Mental health (MH) disorders are increasingly prevalent in primary care (PC) and this has generated, in recent years, the development of strategies based on the collaborative model and the stepped care model. The Primary Support Program (PSP) was implemented in the community of Catalonia (Spain) during 2006 to improve, from the first level of care, treatment of the population with mild-moderate complexity MH problems along with identification and referral of severe cases to specialized care. The aim of the present study was to identify the strengths and limitations of the PSP from the perspective of health professionals involved in the programme.

METHODS

An explanatory qualitative study based on Grounded Theory. We conducted group semistructured interviews with 37 family physicians and 34 MH professionals. A constant comparative method of analysis was performed.

RESULTS

Operation of the PSP is influenced by internal factors, such as the programme framework, MH liaison, management of service supply and demand, and the professional team involved. Additionally, external factors which had an impact were related to the patient, the professionals, the Health System, and community resources.

CONCLUSIONS

The operation of the PSP could benefit from a review of the programme framework and optimization of MH liaison. Improvements are also proposed for MH training in PC, intraprofessional coordination, use of community resources, and creation of efficient continuous assessment systems.

Elements of Integrated Behavioral Health Associated with Primary Care Provider Confidence in Managing Depression at Community Health Centers

BACKGROUND

Depression is most often treated by primary care providers (PCPs), but low self-efficacy in caring for depression may impede adequate management. We aimed to identify which elements of integrated behavioral health (BH) were associated with greater confidence among PCPs in identifying and managing depression.

DESIGN

Mailed cross-sectional surveys in 2016.

PARTICIPANTS

BH leaders and PCPs caring for adult patients at community health centers (CHCs) in 10 midwestern states.

MAIN MEASURES

Survey items asked about depression screening, systems to support care, availability and integration of BH, and PCP attitudes and experiences. PCPs rated their confidence in diagnosing, assessing severity, providing counseling, and prescribing medication for depression on a 5-point scale. An overall confidence score was calculated (range 4 (low) to 20 (high)). Multilevel linear mixed models were used to identify factors associated with confidence.

KEY RESULTS

Response rates were 60% (N=77/128) and 52% (N=538/1039) for BH leaders and PCPs, respectively. Mean overall confidence score was 15.25±2.36. Confidence was higher among PCPs who were satisfied with the accuracy of depression screening (0.38, p=0.01), worked at CHCs with depression tracking systems (0.48, p=0.045), had access to patients' BH treatment plans (1.59, p=0.002), and cared for more patients with depression (0.29, p=0.003). PCPs who reported their CHC had a sufficient number of psychiatrists were more confident diagnosing depression (0.20, p=0.02) and assessing severity (0.24, p=0.03). Confidence in prescribing was lower at CHCs with more patients living below poverty (-0.66, p<0.001). Confidence in diagnosing was lower at CHCs with more Black/African American patients (-0.20, p=0.03).

CONCLUSIONS

PCPs who had access to BH treatment plans, a system for tracking patients with depression, screening protocols, and a sufficient number of psychiatrists were more confident identifying and managing depression. Efforts are needed to address disparities and support PCPs caring for vulnerable patients with depression.

A qualitative examination of the implementation of a perinatal collaborative care program

AIM

To identify implementation strategies for collaborative care (CC) that are successful in the context of perinatal care.

BACKGROUND

Perinatal depression is one of the most common complications of pregnancy and is associated with adverse maternal, obstetric, and neonatal outcomes. Although treating depressive symptoms reduces risks to mom and baby, barriers to accessing psychiatric treatment remain. CC has demonstrated benefit in primary care, expanding access, yet few studies have examined the implementation of CC in perinatal care which presents unique characteristics and challenges.

METHODS

We conducted qualitative interviews with 20 patients and 10 stakeholders from Collaborative Care Model for Perinatal Depression Support Services (COMPASS), a perinatal collaborative care (pCC) program implemented since 2017. We analyzed interview data by employing the Exploration, Preparation, Implementation, Sustainment (EPIS) framework to organize empirically selected implementation strategies from Expert Recommendations for Implementing Change (ERIC) to create a guide for the development of pCC programs.

FINDINGS

We identified 14 implementation strategies used in the implementation of COMPASS. Strategies were varied, cutting across ERIC domains (eg, plan, educate, finance) and across EPIS contexts (eg, inner context - characteristics of the pCC program). The majority of strategies were identified by patients and staff as facilitators of pCC implementation. In addition, findings show opportunities for improving the implementation strategies used, such as optimal dissemination of educational materials for obstetric clinicians. The implementation of COMPASS can serve as a model for the process of building a pCC program. The identified strategies can support the implementation of this evidence-based practice for addressing postpartum depression.

Primary Care Behavioral Health Integration and Care Utilization: Implications for Patient Outcome and Healthcare Resource Use

BACKGROUND

Behavioral health (BH) integration in primary care (PC) can potentially improve outcomes and reduce cost of care. While different models of integration exist, evidence from real-world examples is needed to demonstrate the effectiveness and value of integration. This study aimed to evaluate the outcomes of six PC practice sites located in Western New York that implemented a primary care behavioral health (PCBH) integration model.

OBJECTIVE

To assess the impact of PCBH on all-cause healthcare utilization rates.

DESIGN

A retrospective observational study based on historical multi-payer health insurance claims data. Claims data were aggregated on a per-member-per-month basis to compare utilization rates among the patients in the PC practice sites that had implemented PCBH to those in the sites that had not yet done so.

PARTICIPANTS

The sample included 6768 unique adult health plan members between October 2015 and June 2017 with at least one BH diagnosis code who were attributed to one of the six newly integrated PC practice sites.

INTERVENTIONS

Under the PCBH integration model, BH specialists were embedded in PC practice sites to treat a wide range of BH conditions.

MAIN MEASURES

Rates of all-cause ED visits and hospital admissions, along with rates of PC provider and BH provider visits.

KEY RESULTS

PCBH implementation was associated with reductions in the rates of outpatient ED visits (14.2%; p < 0.001) and PC provider visits (12.0%; p < 0.001), as well as with an increased rate of BH provider visits (7.5%; p = 0.018).

CONCLUSIONS

PCBH integration appears to alter the treatment patterns among patients with BH conditions by shifting patient visits away from ED and PC providers toward BH providers who specialize in treatment of such patients.

A Randomized Controlled Trial to Increase Cancer Screening and Reduce Depression Among Low-Income Women

Low-income women of color receive fewer cancer screenings and have higher rates of depression, which can interfere with cancer screening participation. This study assessed the comparative effectiveness of two interventions for improving colorectal, breast, and cervical cancer screening participation and reducing depression among underserved women in Bronx, NY, with depression. This comparative effectiveness randomized controlled trial (RCT) with assessments at study entry, 6, and 12 months utilized an intent-to-treat statistical approach. Eligible women were aged 50 to 64, screened positive for depression, and were overdue for ≥ 1 cancer screening (colorectal, breast, and/or cervical). Participants were randomized to a collaborative depression care plus cancer screening intervention (CCI + PCM) or cancer screening intervention alone (PCM). Interventions were telephone-based, available in English or Spanish, delivered over 12 months, and facilitated by a skilled care manager. Cancer screening data were extracted from electronic health records. Depression was measured with a validated self-report instrument (PHQ-9). Seven hundred fifty seven women consented and were randomized (CCI + PCM, n = 378; PCM, n = 379). Analyses revealed statistically significant increases in up-to-date status for all three cancer screenings; depression improved in both intervention groups. There were no statistically significant differences between the interventions in improving cancer screening rates or reducing depression. CCI and PCM both improved breast, cervical, and colorectal cancer screening and depression in clinical settings in underserved communities; however, neither intervention showed an advantage in outcomes. Decisions about which approach to implement may depend on the nature of the practice and alignment of the interventions with other ongoing priorities and resources.

Interventions for Integrating Behavioral Health Services into HIV Clinical Care: A Narrative Review

The integration of behavioral health services within human immunodeficiency virus (HIV) care settings holds promise for improving substance use, mental health, and HIV-related health outcomes for people with HIV. As part of an initiative funded by the Health Resources and Services Administration’s HIV/AIDS Bureau, we conducted a narrative review of interventions focused on behavioral health integration (BHI) in HIV care in the United States (US). Our literature search yielded 19 intervention studies published between 2010 and 2021. We categorized the interventions under 6 approaches: collaborative care; screening, brief intervention, and referral to treatment (SBIRT); patient-reported outcomes (PROs); onsite psychological consultation; integration of addiction specialists; and integration of buprenorphine/naloxone (BUP/NX) treatment. All intervention approaches appeared feasible to implement in diverse HIV care settings and most showed improvements in behavioral health outcomes; however, measurement of HIV outcomes was limited. Future research studies of BHI interventions should evaluate HIV outcomes and assess facilitators and barriers to intervention uptake.

A View of the Development of Patient-Reported Outcomes Measures, Their Clinical Integration, Electronification, and Potential Impact on Rehabilitation Service Delivery

Recognition of the importance of a patient's perception of their status and experience has become central to medical care and its evaluation. This recognition has led to a growing reliance on the use of patient-reported outcome measures (PROMs). Nevertheless, although awareness of PROMs and acceptance of their utility has increased markedly, few of us have a good insight into their development; their utility relative to clinician-rated and performance measures such as the FIM and 6-minute walk test or how their "electronification" and incorporation into electronic health records (EHRs) may improve the individualization, value, and quality of medical care. In all, the goal of this commentary is to provide some insight into historical factors and technology developments that we believe have shaped modern clinical PROMs as they relate to medicine in general and to rehabilitation in particular. In addition, we speculate that while the growth of PROM use may have been triggered by an increased emphasis on the centrality of the patient in their care, future uptake will be shaped by their embedding in EHRs and used to improve clinical decision support though their integration with other sources of clinical and sociodemographic data.

Barriers, facilitators, and proposals for improvement in the implementation of a collaborative care program for depression: a qualitative study of primary care physicians and nurses

BACKGROUND

Primary care plays a central role in the treatment of depression. Nonetheless, shortcomings in its management and suboptimal outcomes have been identified. Collaborative care models improve processes for the management of depressive disorders and associated outcomes. We developed a strategy to implement the INDI collaborative care program for the management of depression in primary health care centers across Catalonia. The aim of this qualitative study was to evaluate a trial implementation of the program to identify barriers, facilitators, and proposals for improvement.

METHODS

One year after the implementation of the INDI program in 18 public primary health care centers we performed a qualitative study in which the opinions and experiences of 23 primary care doctors and nurses from the participating centers were explored in focus groups. We performed thematic content analysis of the focus group transcripts.

RESULTS

The results were organized into three categories: facilitators, barriers, and proposals for improvement as perceived by the health care professionals involved. The most important facilitator identified was the perception that the INDI collaborative care program could be a useful tool for reorganizing processes and improving the management of depression in primary care, currently viewed as deficient. The main barriers identified were of an organizational nature: heavy workloads, lack of time, high staff turnover and shortages, and competing demands. Additional obstacles were inertia and resistance to change among health care professionals. Proposals for improvement included institutional buy-in to guarantee enduring support and the organizational changes needed for successful implementation.

CONCLUSIONS

The INDI program is perceived as a useful, viable program for improving the management of depression in primary care. Uptake by primary care centers and health care professionals, however, was poor. The identification and analysis of barriers and facilitators will help refine the strategy to achieve successful, widespread implementation.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT03285659 ; Registered 18th September, 2017.

Applying Implementation Mapping to Expand a Care Coordination Program at a Federally Qualified Health Center

Background

A large and growing percentage of medically underserved groups receive care at federally qualified health centers (FQHCs). Care coordination is an evidence-based approach to address disparities in healthcare services. A partnered FQHC established a care coordination model to improve receipt and quality of healthcare for patients most at risk for poor health outcomes. This care coordination model emphasizes identification and support of behavioral health needs (e.g., depression, anxiety) and two evidence-based behavioral health programs needs were selected for implementation within the context of this care coordination model. Implementation Mapping is a systematic process for specifying the implementation strategies and outcomes. The current case study describes the application of Implementation Mapping to inform the selection and testing of implementation strategies to improve implementation of two behavioral health programs in a Care Coordination Program at a partnered FQHC.

Methods

We applied Implementation Mapping to inform the development, selection and testing of implementation strategies to improve the implementation of two evidence-based behavioral health programs within a care coordination program at a partnered FQHC.

Results

Results are presented by Implementation Mapping task, from Task 1 through Task 5. We also describe the integration of additional implementation frameworks (The Consolidated Framework for Implementation Research, Health Equity Implementation Framework) within the Implementation Mapping process to inform determinant identification, performance and change objectives development, design and tailoring of implementation strategies and protocols, and resulting evaluation of implementation outcomes.

Conclusions

The current project is an example of real-world application of Implementation Mapping methodology to improve care outcomes for a high priority population that is generalizable to other settings utilizing similar care models and health equity endeavors. Such case studies are critical to advance our understanding and application of innovative implementation science methods such as Implementation Mapping.

Digital and Mobile Health Technology in Collaborative Behavioral Health Care: Scoping Review

BACKGROUND

The collaborative care model (CoCM) is a well-established system of behavioral health care in primary care settings. There is potential for digital and mobile technology to augment the CoCM to improve access, scalability, efficiency, and clinical outcomes.

OBJECTIVE

This study aims to conduct a scoping review to synthesize the evidence available on digital and mobile health technology in collaborative care settings.

METHODS

This review included cohort and experimental studies of digital and mobile technologies used to augment the CoCM. Studies examining primary care without collaborative care were excluded. A literature search was conducted using 4 electronic databases (MEDLINE, Embase, Web of Science, and Google Scholar). The search results were screened in 2 stages (title and abstract screening, followed by full-text review) by 2 reviewers.

RESULTS

A total of 3982 nonduplicate reports were identified, of which 20 (0.5%) were included in the analysis. Most studies used a combination of novel technologies. The range of digital and mobile health technologies used included mobile apps, websites, web-based platforms, telephone-based interactive voice recordings, and mobile sensor data. None of the identified studies used social media or wearable devices. Studies that measured patient and provider satisfaction reported positive results, although some types of interventions increased provider workload, and engagement was variable. In studies where clinical outcomes were measured (7/20, 35%), there were no differences between groups, or the differences were modest.

CONCLUSIONS

The use of digital and mobile health technologies in CoCM is still limited. This study found that technology was most successful when it was integrated into the existing workflow without relying on patient or provider initiative. However, the effect of digital and mobile health on clinical outcomes in CoCM remains unclear and requires additional clinical trials.

Support Models for Addiction Related Treatment (SMART) for pregnant women: Study protocol of a cluster randomized trial of two treatment models for opioid use disorder in prenatal clinics

Introduction

The prevalence of opioid use disorder (OUD) in pregnancy increased nearly five-fold over the past decade. Despite this, obstetric providers are less likely to treat pregnant women with medication for OUD than non-obstetric providers (75% vs 91%). A major reason is many obstetricians feel unprepared to prescribe medication for opioid use disorder (MOUD). Education and support may increase prescribing and overall comfort in delivering care for pregnant women with OUD, but optimal models of education and support are yet to be determined.

Methods and analysis

We describe the rationale and conduct of a matched-pair cluster randomized clinical trial to compare the effectiveness of two models of support for reproductive health clinicians to provide care for pregnant and postpartum women with OUD. The primary outcomes of this trial are patient treatment engagement and retention in OUD treatment. This study compares two support models: 1) a collaborative care approach, based upon the Massachusetts Office-Based-Opioid Treatment Model, that provides practice-level training and support to providers and patients through the use of care managers, versus 2) a telesupport approach based on the Project Extension for Community Healthcare Outcomes, a remote education model that provides mentorship, guided practice, and participation in a learning community, via video conferencing.

Discussion

This clustered randomized clinical trial aims to test the effectiveness of two approaches to support practitioners who care for pregnant women with an OUD. The results of this trial will help determine the best model to improve the capacity of obstetrical providers to deliver treatment for OUD in prenatal clinics.

Trial registration

Clinicaltrials.gov trial registration number: NCT0424039.

Is collaborative care a key component for treating pregnant women with psychiatric symptoms (and additional psychosocial problems)? A systematic review

Mental disorders during pregnancy are common, with long-lasting negative effects on mother and child. Treatment of these women is challenging, because of the high incidence of additional psychosocial problems and barriers on population and healthcare level. Collaborative care, collaboration between mental health and obstetric care professionals, may help to overcome these problems. The aim of this review is to review antenatal mental health interventions and analyse the impact of collaborative care. Two independent reviewers searched for RCT's in PubMed, Embase and PsycINFO. Trials studying the effect of psychological or pharmacological interventions on the mental health of pregnant women with psychiatric symptoms (and psychosocial problems) were eligible for inclusion. Two reviewers independently abstracted data and assessed study quality and risk of bias. Each study was scored on collaborative care criteria: multi-professional approach to patient care, structured management plan, scheduled patient follow-ups and enhanced interprofessional communication. Thirty-five studies were included. Most trials studied the effect of cognitive behavioural therapy and interpersonal psychotherapy on antenatal depression. Almost all interventions met at least one collaborative care criteria. Interventions were mostly provided by multiple professionals, but interprofessional communication rarely took place. Interventions that met more criteria did not more often show a positive effect on maternal mental health. There is lack of research on antenatal psychiatric disorders other than depressive and on long-term treatment outcomes. Collaborative care is partly implemented in most current interventions, but more trials (including interprofessional communication) are needed to be conclusive whether collaborative care is a key component in antenatal mental healthcare.

Acceptability and fidelity of a psychosocial intervention (PROACTIVE) for older adults with depression in a basic health unit in São Paulo, Brazil: a qualitative study

Background

Depression is a common condition in older adults, being often detected and treated initially in primary care. Collaborative care models including, for example, task-shifting and stepped-care approaches have been investigated to overcome the current scarcity of strategies and trained mental health professionals to treat depression. The PROACTIVE study developed a psychosocial intervention, which makes extensive use of technology in an intervention delivered mainly by non-specialists to treat older adults with depression. The aim of this qualitative study is to assess: 1. Health workers’ fidelity to the intervention protocol; 2. Acceptability of the psychosocial intervention from the viewpoint of older adult participants; and 3. Perceptions of the psychosocial intervention by the health workers.

Methods

Qualitative methods were used to achieve our aims. The sample included participants (N = 31) receiving the intervention in the pilot trial and health workers (N = 11) working in a Basic Health Unit in the northern area of São Paulo, Brazil. Focus group, non-participant observation and structured interviews were used. Data were analysed using a thematic analysis approach.

Results

1. Health workers’ fidelity to the intervention protocol: training, supervision and the structured intervention were crucial and guaranteed health workers’ fidelity to the protocol. 2. Acceptability of the psychosocial intervention from the viewpoint of older adult participants: Collaborative care, task-shifting, and stepped-care approaches were well accepted. The structured protocol of the intervention including different activities and videos was important to adherence of older adult participants 3. Perceptions of the psychosocial intervention by the health workers: It was feasible to have the home psychosocial sessions conducted by health workers, who are non-mental health specialists and received 3-day training. Training and supervision were perceived as crucial to support health workers before and during the intervention. Technology served as a tool to structure the sessions, obtain and store patient data, present multi-media content, guarantee fidelity to the protocol and facilitate communication among members of the team. However, extra burden was mentioned by the health workers indicating the need of adjustments in their daily duties.

Conclusions

The PROACTIVE intervention was demonstrated to be feasible and accepted by both health workers and older adult participants. The qualitative assessments suggested improvements in training and supervision to ensure fidelity to protocol. To assess effectiveness a randomised controlled trial of the intervention will be conducted with the addition of improvements suggested by this qualitative study.

Trial registration

The pilot study of which the present study gives support to was registered at the Brazilian Clinical Trials, UTN code: U1111-1218-6717 on 26/09/2018.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-12402-3.

Increased Depression Screening and Treatment Recommendations After Implementation of a Perinatal Collaborative Care Program

OBJECTIVE

The study evaluated whether implementation of perinatal collaborative care is associated with improvements in screening and treatment recommendations for perinatal depression by obstetric clinicians.

METHODS

This cohort study, conducted from January 2015 to January 2019, included all women who received prenatal care in five obstetric clinics and delivered at a single quaternary care hospital in Chicago. In January 2017, a perinatal collaborative care program (COMPASS) was implemented. Completion of depression screening and recommendations for treatment following a positive depression screen were compared before and after COMPASS implementation. Adjusted analyses included inverse probability weighting by using propensity scores to impose control over imbalance between exposure groups with respect to prespecified covariates.

RESULTS

A total of 7,028 women were included in these analyses: 3,227 (46%) before and 3,801 (54%) after COMPASS implementation. Women who received obstetric care after implementation were significantly more likely than those who received care before implementation to receive antenatal screening for depression (81% versus 33%; adjusted odds ratio [aOR]=8.5, 95% confidence interval [CI]=7.6-9.5). After implementation, women with a positive antenatal screen for depression were more likely to receive a treatment recommendation (61% versus 44%; aOR=2.1, 95% CI=1.2-3.7). After implementation of perinatal collaborative care, combined psychotherapy and pharmacotherapy were more frequently recommended, compared with before implementation.

CONCLUSIONS

Implementation of a perinatal collaborative care program was associated with improvements in perinatal depression screening and recommendations for treatment by obstetric clinicians.

Addressing anhedonia to increase depression treatment engagement

Anhedonia, or reward system dysfunction, is associated with poorer treatment outcomes among depressed individuals. The role of anhedonia in treatment engagement, however, has not yet been explored. We review research on components of reward functioning impaired in depression, including effort valuation, reward anticipation, initial responsiveness, reward learning, reward probability, and reward delay, highlighting potential barriers to treatment engagement associated with these components. We then propose interventions to improve treatment initiation and continuation by addressing deficits in each component of reward functioning, focusing on modifications of existing evidence-based interventions to meet the needs of individuals with heightened anhedonia. We describe potential settings for these interventions and times at which they can be delivered during the process of referring individuals to mental health treatment, conducting intakes or assessments, and providing treatment. Additionally, we note the advantages of using screening processes already in place in primary care, workplace, school, and online settings to identify individuals with heightened anhedonia who may benefit from these interventions. We conclude with suggestions for future research on the impact of anhedonia on treatment engagement and the efficacy of interventions to address it. PRACTITIONER POINTS: Many depressed individuals who might benefit from treatment do not initiate it or discontinue early. One barrier to treatment engagement may be anhedonia, a core symptom of depression characterized by loss of interest or pleasure in usual activities. We describe brief interventions to improve treatment engagement in individuals with anhedonia that can be implemented during the referral process or early in treatment. We argue that interventions aiming to improve treatment engagement in depressed individuals that target anhedonia may be particularly effective.

Collaborative care for depression yields similar improvement among older and younger rural adults

BACKGROUND

Depressive disorders are among the most prevalent mental health conditions; however, significant barriers to treatment access persist. This study examined differences in depression outcomes between younger and older adults in a large-scale implementation demonstration of the collaborative care model (CoCM).

METHODS

Secondary data analysis of a longitudinal, observational implementation demonstration at eight primary care clinics across low-resourced rural or frontier areas of the Western United States. Seven of these clinics were federally qualified health centers. The sample consisted of 3722 younger (18-64 years) and older (65+ years) adult primary care patients diagnosed with unipolar depression. All participants received depression treatment via CoCM, which enhances usual primary care and makes efficient use of specialists by using a behavioral healthcare manager and a psychiatric consultant to support primary care providers. Clinics were followed for up to 27 months. Patients were followed until they completed treatment or dropped out. The Patient Health Questionnaire (PHQ-9) assessed depressive symptoms at baseline (enrollment) and at most follow-up contacts. The primary treatment outcome was a change between a patient's first and last recorded PHQ-9 scores.

RESULTS

Across both age groups, there was an average overall reduction of 6.9 points on the PHQ-9. Older adults demonstrated a greater decrease in depression scores of 2.06 points (95% CI -2.98 to -1.14, p < 0.001) on the PHQ-9 compared with younger adults. Estimates were robust when adjusting for gender, race, and clinic.

CONCLUSIONS

CoCM resulted in meaningful improvement in depressive symptoms across age groups.

Population-based implementation of behavioral health detection and treatment into primary care: early data from New York state

Background

The Collaborative Care Model is a well-established, evidence-based approach to treating depression and other common behavioral health conditions in primary care settings. Despite a robust evidence base, real world implementation of Collaborative Care has been limited and very slow. The goal of this analysis is to better describe and understand the progression of implementation in the largest state-led Collaborative Care program in the nation—the New York State Collaborative Care Medicaid Program.

Data are presented using the RE-AIM model, examining the proportion of clinics in each of the model’s five steps from 2014 to 2019.

Methods

We used the RE-AIM model to shape our data presentation, focusing on the proportion of clinics moving into each of the five steps of this model over the years of implementation. Data sources included: a New York State Office of Mental Health clinic tracking database, billing applications, quarterly reports, and Medicaid claims.

Results

A total of 84% of clinics with which OMH had an initial contact [n = 611clinics (377 FQHCs and 234 non-FQHCs)] received some form of training and technical assistance. Of those, 51% went on to complete a billing application, 41% reported quarterly data at least once, and 20% were able to successfully bill Medicaid. Of clinics that reported data prior to the first quarter of 2019, 79% (n = 130) maintained Collaborative Care for 1 year or more. The receipt of any training and technical assistance was significantly associated with our implementation indices: (completed billing application, data reporting, billing Medicaid, and maintaining Collaborative Care). The average percent of patient improvement for depression and anxiety across 155 clinics that had at least one quarter of data was 44.81%. Training and technical assistance source (Office of Mental Health, another source, or both) and intensity (high/low) were significantly related to implementation indices and were observed in FQHC versus non-FQHC samples.

Conclusions

Offering Collaborative Care training and technical assistance, particularly high intensity training and technical assistance, increases the likelihood of implementation. Other state-wide organizations might consider the provision of training and technical assistance when assisting clinics to implement Collaborative Care.

Impact of socioeconomic status on depression clinical outcomes at six months in a Midwestern, United States community

INTRODUCTION

Lower socioeconomic status (SES) has been associated with poor healthcare outcomes in depression. However, reliable individual-level SES data rarely exists for clinical research. The HOUSES index relies on publicly available data allowing for evaluation of individual-level SES on patient outcomes.

HYPOTHESIS

Primary care patients with depression within the lower SES quartile (Quartile 1 vs. Quartile 4, of the HOUSES index) would experience worse clinical outcomes of their symptoms six months after diagnosis.

STUDY DESIGN

A retrospective cohort study which followed 4313 adult primary care patients that were diagnosed with depression during the study period of 2008-2015. The outcome measures were the six month PHQ-9 scores.

RESULTS

At six months, a higher HOUSES quartile was associated with greater odds of remission of depressive symptoms (RDS) and lower odds of persistent depressive symptoms (PDS), after controlling for covariates. Patients in Quartile 4 had 27% more likelihood of RDS and a 24% lower likelihood of PDS at six months compared to a Quartile 1 patient.

LIMITATIONS

As a retrospective study only can observe associations but not causation. Only one institution participated and not all treatments were readily available, limiting the generalizability of these findings.

CONCLUSIONS

Lower SES as demonstrated by a lower HOUSES quartile (Quartile 1 versus 4) was associated with lower odds of RDS and increased odds of PDS at six months. HOUSES index is a useful tool for identifying patients at risk for worse clinical outcomes and may help health care systems plan resource allocation for depression care.

Primary care-based screening and management of depression amongst heavy drinking patients: Interim secondary outcomes of a three-country quasi-experimental study in Latin America

INTRODUCTION

Implementation of evidence-based care for heavy drinking and depression remains low in global health systems. We tested the impact of providing community support, training, and clinical packages of varied intensity on depression screening and management for heavy drinking patients in Latin American primary healthcare.

MATERIALS AND METHODS

Quasi-experimental study involving 58 primary healthcare units in Colombia, Mexico and Peru randomized to receive: (1) usual care (control); (2) training using a brief clinical package; (3) community support plus training using a brief clinical package; (4) community support plus training using a standard clinical package. Outcomes were proportion of: (1) heavy drinking patients screened for depression; (2) screen-positive patients receiving appropriate support; (3) all consulting patients screened for depression, irrespective of drinking status.

RESULTS

550/615 identified heavy drinkers were screened for depression (89.4%). 147/230 patients screening positive for depression received appropriate support (64%). Amongst identified heavy drinkers, adjusting for country, sex, age and provider profession, provision of community support and training had no impact on depression activity rates. Intensity of clinical package also did not affect delivery rates, with comparable performance for brief and standard versions. However, amongst all consulting patients, training providers resulted in significantly higher rates of alcohol measurement and in turn higher depression screening rates; 2.7 times higher compared to those not trained.

CONCLUSIONS

Training using a brief clinical package increased depression screening rates in Latin American primary healthcare. It is not possible to determine the effectiveness of community support on depression activity rates due to the impact of COVID-19.

Use of behavioral health care in Medicaid managed care carve-out versus carve-in arrangements

OBJECTIVE

To evaluate differences in access to behavioral health services for Medicaid enrollees covered by a Medicaid entity that integrated the financing of behavioral and physical health care ("carve-in group") versus a Medicaid entity that separated this financing ("carve-out group").

DATA SOURCES/STUDY SETTING

Medicaid claims data from two Medicaid entities in the Portland, Oregon tri-county area in 2016.

STUDY DESIGN

In this cross-sectional study, we compared differences across enrollees in the carve-in versus carve-out group, using a machine learning approach to incorporate a large set of covariates and minimize potential selection bias. Our primary outcomes included behavioral health visits for a variety of different provider types. Secondary outcomes included inpatient, emergency department, and primary care visits.

DATA COLLECTION

We used Medicaid claims, including adults with at least 9 months of enrollment.

PRINCIPAL FINDINGS

The study population included 45,786 adults with mental health conditions. Relative to the carve-out group, individuals in the carve-in group were more likely to access outpatient behavioral health (2.39 percentage points, p < 0.0001, with a baseline rate of approximately 73%). The carve-in group was also more likely to access primary care physicians, psychologists, and social workers and less likely to access psychiatrists and behavioral health specialists. Access to outpatient behavioral health visits was more likely in the carve-in arrangement among individuals with mild or moderate mental health conditions (compared to individuals with severe mental illness) and among black enrollees (compared to white enrollees).

CONCLUSIONS

Financial integration of physical and behavioral health in Medicaid managed care was associated with greater access to behavioral health services, particularly for individuals with mild or moderate mental health conditions and for black enrollees. Recent changes to incentivize financial integration should be monitored to assess differential impacts by illness severity, race and ethnicity, provider types, and other factors.

Primary care and mental health: Where do we go from here?

Primary care has been dubbed the “de facto” mental health system of the United States since the 1970s. Since then, various forms of mental health delivery models for primary care have proven effective in improving patient outcomes and satisfaction and reducing costs. Despite increases in collaborative care implementation and reimbursement, prevalence rates of major depression in the United States remain unchanged while anxiety and suicide rates continue to climb. Meanwhile, primary care task forces in countries like the United Kingdom and Canada are recommending against depression screening in primary care altogether, citing lack of trials demonstrating improved outcomes in screened vs unscreened patients when the same treatment is available, high false-positive results, and small treatment effects. In this perspective, a primary care physician and two psychiatrists address the question of why we are not making headway in treating common mental health conditions in primary care. In addition, we propose systemic changes to improve the dissemination of mental health treatment in primary care.

A qualitative exploration of the feasibility of incorporating depression apps into integrated primary care clinics

The use of mobile applications or "apps" is beginning to be identified as a potential cost-effective tool for treating depression. While the use of mobile apps for health management appears promising, little is known on how to incorporate these tools into integrated primary care settings-especially from the viewpoints of patients and the clinic personnel. The purpose of this study was to explore patient- and clinic-level perceptions of the use of depression self-management apps within an integrated primary care setting. Patients (n = 17), healthcare providers, and staff (n = 15) completed focus groups or semi-structured interviews in-person or via Zoom between January and July 2020. Participants were asked about barriers and facilitators to app use, how to best integrate it into care, and reviewed pre-selected mental health apps. Data were analyzed using a directed content analysis approach. From a patient perspective, features within the app such as notifications, the provision of information, easy navigation, and a chat/support function as well as an ability to share data with their doctor were desirable. Providers and staff identified integration of app data into electronic health records to be able to share data with patients and the healthcare team as well as clear evidence of effectiveness as factors that could facilitate implementation. All participants who reviewed apps identified at least one of them they would be interested in continuing to use. Overall, patients, healthcare providers, and staff believed depression apps could be beneficial for both patients and the clinic.

Implementation of Integrated Behavioral Health Care in a Large Medical Center: Benefits, Challenges, and Recommendations

Integrated behavioral health care (IBHC) models in primary care are positioned to address the unmet needs of traditional behavioral health models. However, research support is limited to specific populations, settings, and behavioral health conditions. Empirical evidence is lacking for expansion to larger health systems and diverse behavioral health conditions. This study examines perspectives on IBHC implementation in a large medical center. Semi-structured interviews were conducted with 24 health providers and administrators in two primary care clinics with IBHC. Thematic analysis demonstrated that participants had an overall favorable perception of IBHC, but also perceived implementation challenges, including difficulties with access, underutilization, team dynamics, and financial and interdepartmental issues. The findings suggest that IBHC implementation barriers in existing large health systems risk diminishing potential benefits and successful adoption. These barriers can be combated by incorporating systems change strategies into implementation frameworks, with a focus on barrier prevention and detection and long-term sustainability.

An Overview of Reviews on Interprofessional Collaboration in Primary Care: Effectiveness

Introduction:

Interprofessional collaboration (IPC) is increasingly used but diversely implemented in primary care. We aimed to assess the effectiveness of IPC in primary care settings.

Methods:

An overview (review of systematic reviews) was carried out. We searched nine databases and employed a double selection and data extraction method. Patient-related outcomes were categorized, and results coded as improvement (+), worsening (–), mixed results (?) or no change (0).

Results:

34 reviews were included. Six types of IPC were identified: IPC in primary care (large scope) (n = 8), physician-nurse in primary care (n = 1), primary care physician (PCP)-specialty care provider (n = 5), PCP-pharmacist (n = 3), PCP-mental healthcare provider (n = 15), and intersectoral collaboration (n = 2). In general, IPC in primary care was beneficial for patients with variation between types of IPC. Whereas reviews about IPC in primary care (large scope) showed better processes of care and higher patient satisfaction, other types of IPC reported mixed results for clinical outcomes, healthcare use and patient-reported outcomes. Also, reviews focusing on interventions based on pre-existing and well-defined models, such as collaborative care, overall reported more benefits. However, heterogeneity between the included primary studies hindered comparison and often led to the report of mixed results. Finally, professional- and organizational-related outcomes were under-reported, and cost-related outcomes showed some promising results for IPC based on pre-existing models; results were lacking for other types.

Conclusions:

This overview suggests that interprofessional collaboration can be effective in primary care. Better understanding of the characteristics of IPC processes, their implementation, and the identification of effective elements, merits further attention.

Suicide detection and treatment in a nurse-led, interprofessional primary care practice: A 2-year report of quality data

ABSTRACT

Analysis of 2 years of quality improvement data after the implementation of a suicidality screening and treatment protocol in a primary care setting found that among 1,733 patients, 149 had suicidal ideation. Among the 112 of those patients who remained in care, more than half presented with only nonpsychiatric complaints. Primary care practices may be viable tools to combat the nation's suicide epidemic.

Major Depressive Disorder and gut microbiota - Association not causation. A scoping review

One very promising hypothesis of Major Depressive Disorder (MDD) pathogenesis is the gut-brain axis (GBA) dysfunction, which can lead to subclinical inflammation, hypothalamic-pituitary (HPA) axis dysregulation, and altered neural, metabolic and endocrine pathways. One of the most important parts of GBA is gut microbiota, which was shown to regulate different functions in the central nervous system (CNS). The purpose of this scoping review was to present the current state of research on the relationship between MDD and gut microbiota and extract causal relationships. Further, we presented the relationship between the use of probiotics and antidepressants, and the microbiota changes. We evaluated the data from 27 studies aimed to investigate microbial fingerprints associated with depression phenotype. We abstracted data from 16 and 11 observational and clinical studies, respectively; the latter was divided into trials evaluating the effects of psychiatric treatment (n = 3) and probiotic intervention (n = 9) on the microbiome composition and function. In total, the data of 1187 individuals from observational studies were assessed. In clinical studies, there were 490 individuals analysed. In probiotic studies, 220 and 218 patients with MDD received the intervention and non-active study comparator, respectively. It was concluded that in MDD, the microbiota is altered. Although the mechanism of this relationship is unknown, we hypothesise that the taxonomic changes observed in patients with MDD are associated with bacterial proinflammatory activity, reduced Schort Chain Fatty Acids (SCFAs) production, impaired intestinal barrier integrity and neurotransmitter production, impaired carbohydrates, tryptophane and glutamate metabolic pathways. However, only in few publications this effect was confirmed by metagenomic, metabolomic analysis, or by assessment of immunological parameters or intestinal permeability markers. Future research requires standardisation process starting from patient selection, material collection, DNA sequencing, and bioinformatic analysis. We did not observe whether antidepressive medications influence on gut microbiota, but the use of psychobiotics in patients with MDD has great prospects; however, this procedure requires also standardisation and thorough mechanistic research. The microbiota should be treated as an environmental element, which considers the aetiopathogenesis of the disease and provides new possibilities for monitoring and treating patients with MDD.

How can we improve antidepressant adherence in the management of depression? A targeted review and 10 clinical recommendations

Adherence to antidepressants is crucial for optimal treatment outcomes when treating depressive disorders. However, poor adherence is common among patients prescribed antidepressants. This targeted review summarizes the main factors associated with poor adherence, interventions that promote antidepressant adherence, pharmacological aspects related to antidepressant adherence, and formulates 10 clinical recommendations to optimize antidepressant adherence. Patient-related factors associated with antidepressant non-adherence include younger age, psychiatric and medical comorbidities, cognitive impairment, and substance use disorders. Prescriber behavior-related factors include neglecting medical and family histories, selecting poorly tolerated antidepressants, or complex antidepressant regimens. Multi-disciplinary interventions targeting both patient and prescriber, aimed at improving antidepressant adherence, include psychoeducation and providing the patient with clear behavioral interventions to prevent/minimize poor adherence. Regarding antidepressant choice, agents with individually tailored tolerability profile should be chosen. Ten clinical recommendations include four points focusing on the patient (therapeutic alliance, adequate history taking, measurement of depressive symptoms, and adverse effects improved access to clinical care), three focusing on prescribing practice (psychoeducation, individually tailored antidepressant choice, simplified regimen), two focusing on mental health services (improved access to mental health care, incentivized adherence promotion and monitoring), and one relating to adherence measurement (adherence measurement with scales and/or therapeutic drug monitoring).

A Novel Approach to Depression Care: Efficacy of an Adapted Interpersonal Therapy in a Large, Urban Primary Care Setting

The Collaborative Care Model (CoCM), in which social workers, primary care physicians, and a consulting psychiatrist work as a team, is an established approach to the treatment of common mental health conditions in primary care settings. Following implementation of a CoCM depression care program at our hospital-based academic primary care practice, we observed a low rate of retention with the use of problem solving therapy/behavioral activation (PST/BA). Our aim in this study was to evaluate the effectiveness of interpersonal psychotherapy (IPT), an evidence-based, flexible strategy that focuses on the relationship between depression and interpersonal challenges, compared to PST/BA. In 2015, most patients enrolled in our CoCM received PST/BA. In 2016, most patients received IPT. Patients who were enrolled and discharged from our CoCM depression care program in the years 2015 and 2016 and received either PST/BA or IPT, were included. Our primary measure was the difference in change in PHQ-9 score between the PST/BA and the IPT groups. Secondary outcomes included the difference in the change in GAD-7 score and measures of glycemic and blood pressure control between the two groups. Two hundred thirty four patients were included in our analysis. One hundred sixty five received PST/BA and 69 received IPT. There was no difference between groups in baseline demographics or measures of depression, anxiety, presence of hypertension, or presence of prediabetes/diabetes. Our primary analysis demonstrated a greater decrease in PHQ-9 score in patients receiving IPT (9.93) compared to those receiving PST/BA (5.41) (p < 0.0001). The proportion of patients achieving a clinical response (PHQ-9 < 10) was also greater in the IPT group (71%) compared to the PST/BA group (44%). In a CoCM depression care program, IPT was a more effective strategy in improving depression symptoms as measured by PHQ-9 scores than PST/BA.

The next generation of collaborative care: The design of a novel web-based stepped collaborative care intervention delivered via telemedicine for people diagnosed with cancer

BACKGROUND

The NIH consensus statement on cancer-related symptoms concluded the most common and debilitating were depression, pain and fatigue [1-6]. Although the comorbidity of these symptoms is well known and may have similar underlying biological mechanisms no intervention has been developed to reduce these symptoms concurrently. The novel web-based stepped collaborative care intervention delivered by telemedicine is the first to be tested in people diagnosed with cancer.

METHODS

We plan to test a web-based stepped collaborative care intervention with 450 cancer patients and 200 caregivers in the context of a randomized controlled trial. The primary endpoint is quality of life with other primary outcomes including patient-reported depression, pain, fatigue. Secondary outcomes include patient serum levels of pro-inflammatory cytokines and disease progression. We also will assess informal caregiver stress, depression, and metabolic abnormalities to determine if improvements in patients' symptoms also relate to improvement in caregiver outcomes.

RESULTS

The trial is ongoing and a total of 382 patients have been randomized. Preliminary analyses of the screening tools used for study entry suggest that Center for Epidemiological Studies-Depression (CESD) scale has good sensitivity and specificity (0.81 and 0.813) whereas the scale used to assess pain (0.47 and 0.91) and fatigue (0.11 and 0.91) had poor sensitivity but excellent specificity. Using the AUROC, the best cut point for the CES-D was 19, for pain was 4.5; and for fatigue was 2.5. Outcomes not originally proposed included health care utilization and healthcare charges. The first 100 patients who have been followed a year post-treatment, and who were less than 75 years and randomized to the web-based stepped collaborative care intervention, had lower rates of complications after surgery [χ² = 5.45, p = 0.02]. For patients who survived 6 months or less and were randomized to the web-based stepped collaborative care intervention, had lower rates of 90-day readmissions when compared to patients randomized to the screening and referral arm [χ² = 4.0, p = 0.046]. Patients randomized to the collaborative care intervention arm had lower overall health care activity-based costs of $16,758 per patient per year when compared to the screening and referral arm.

DISCUSSION

This novel web-based stepped stepped collaborative care intervention, delivered via telemedicine, is expected to provide a new strategy to improve the quality of life in those diagnosed with cancer and their caregivers.

TRIAL REGISTRATION

ClinicalTrials.govNCT02939755.

Transforming Population-Based Depression Care: a Quality Improvement Initiative Using Remote, Centralized Care Management

INTRODUCTION

With the growing prevalence of value-based contracts, health systems are incentivized to consider population approaches to service delivery, particularly for chronic conditions like depression. To this end, UW Medicine implemented the Depression-Population Approach to Health (PATH) program in primary care (PC) as part of a system-wide Center for Medicare and Medicaid Innovation (CMMI) quality improvement (QI) initiative.

AIM

To examine the feasibility of a pilot PATH program and its impact on clinical and process-of-care outcomes.

SETTING

A large, diverse, geographically disparate academic health system in Western Washington State including 28 PC clinics across five networks.

PROGRAM DESCRIPTION

The PATH program was a population-level, centralized, measurement-based care intervention that utilized a clinician to provide remote monitoring of treatment progress via chart review and facilitate patient engagement when appropriate. The primary goals of the program were to improve care engagement and increase follow-up PHQ-9 assessments for patients with depression and elevated initial PHQ-9 scores.

PROGRAM EVALUATION

We employed a prospective, observational study design, including commercially insured adult patients with new depression diagnoses and elevated initial PHQ-9 scores. The pilot intervention group, consisting of accountable care network (ACN) self-enrollees (N = 262), was compared with a similar commercially insured cohort (N = 2527) using difference-in-differences analyses adjusted for patient comorbidities, initial PHQ-9 score, and time trends. The PATH program was associated with three times the odds of PHQ-9 follow-up (OR 3.28, 95% CI 1.79-5.99), twice the odds of a follow-up PC clinic visit (OR 1.74, 95% CI 0.99-3.08), and twice the odds of treatment response, defined as reduction in PHQ-9 score by ≥ 50% (OR 2.02, 95% CI 0.97-4.21).

DISCUSSION

Our results demonstrate that a centralized, remote care management initiative is both feasible and effective for large academic health systems aiming to improve depression outcome ascertainment, treatment engagement, and clinical care.

Health care resource utilization and costs associated with nonadherence and nonpersistence to antidepressants in major depressive disorder

BACKGROUND: Nonadherence and nonpersistence to antidepressants in major depressive disorder (MDD) are common and associated with poor clinical and functional outcomes and increased health care resource utilization (HCRU) and costs. However, contemporary real-world evidence on the economic effect of antidepressant nonadherence and nonpersistence is limited. OBJECTIVE: To assess the effect of nonadherence and nonpersistence to antidepressants on HCRU and costs in adult patients with MDD enrolled in U.S. commercial and Medicare supplemental insurance plans. METHODS: This was a retrospective new-user cohort study using administrative claims data from the IBM MarketScan Commercial and Medicare Supplemental databases from January 1, 2010, to December 31, 2018. We identified adult patients with MDD aged ≥ 18 years who initiated antidepressant therapy for a new MDD episode between January 1, 2011, and December 31, 2017. Twelve-month total all-cause HCRU and costs (2019 U.S. dollars) were characterized for patients who were adherent/nonadherent and persistent/nonpersistent to antidepressants at 6 months. Adherence was defined as having proportion of days covered (PDC) ≥ 80%, and persistence was defined as having continuous antidepressant therapy without a ≥ 30-day gap. Multivariable negative binomial regression and 2-part models adjusted for baseline characteristics were used to estimate incidence rate ratios (IRRs) for HCRU and incremental costs of nonadherence and nonpersistence, respectively. RESULTS: A total of 224,645 patients with MDD (commercial: n = 209,422; Medicare supplemental: n = 15,223) met all study inclusion criteria. Approximately half of patients were nonadherent (commercial: 48%; Medicare supplemental: 50%) or nonpersistent (commercial: 49%; Medicare supplemental: 52%) to antidepressants at 6 months. After controlling for baseline characteristics, nonadherent patients experienced significantly more inpatient hospitalizations (commercial, adjusted IRR [95% CI]: 1.34 [1.29 to 1.39]; Medicare supplemental: 1.19 [1.12 to 1.28]) and emergency room (ER) visits (commercial, adjusted IRR [95% CI]: 1.43 [1.40 to 1.45]; Medicare supplemental: 1.28 [1.21 to 1.36]) compared with adherent patients. Similar results were observed in nonpersistent patients. Adjusted mean differences revealed that nonadherent and nonpersistent patients accumulated significantly higher medical costs (commercial: $568 [95% CI: $354 to $764] and $491 [$284 to $703]; Medicare supplemental: $1,621 [$314 to $2,774] and $1,764 [$451 to $2,925]), inpatient costs (commercial: $650 [$490 to $801] and $564 [$417 to $716]; Medicare supplemental: $1,546 [$705 to $2,308] and $1,567 [$778 to $2,331]), and ER costs (commercial: $130 [$115 to $143] and $129 [$115 to $142]; Medicare supplemental: $82 [$23 to $150] and $80 [$18 to $150]), and incurred significantly lower pharmacy costs (commercial: -$561 [-$601 to -$521] and -$576 [-$616 to -$540]; Medicare supplemental: -$510 [-$747 to -$227] and -$596 [-$830 to -$325]) compared with adherent and persistent patients, respectively. CONCLUSIONS: This study found more hospitalizations and ER use and higher total medical costs among patients who were nonadherent and nonpersistent to antidepressants at 6 months. Strategies that promote better adherence and persistence may lower HCRU and medical costs in patients with MDD. DISCLOSURES: This study was sponsored by Allergan, which was involved in the study design; data collection, analysis, and interpretation of data; and decision to present these results. Ta was supported by a training grant provided to the University of Washington by Allergan at the time this study was conducted. Tung and Gillard are employees of Allergan. Oliveri is an employee of Genesis Research. Sullivan and Devine have no financial disclosures. This study was presented as a poster at AMCP 2020 (Virtual Meeting), April 21-24, 2020.