Barriers and facilitators to collaborative care implementation within the New York State Collaborative Care Medicaid Program.

BACKGROUND: Since 2015, the New York State Office of Mental Health has provided state primary care clinics with outreach, free training and technical assistance, and the opportunity to bill Medicaid for the Collaborative Care Model (CoCM) as part of its Collaborative Care Medicaid Program. This study aims to describe the characteristics of New York State primary care clinics at each step of CoCM implementation, and the barriers and facilitators to CoCM implementation for the New York State Collaborative Care Medicaid Program. METHODS: In this mixed-methods study, clinics were categorized into RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) steps. Clinics were sent a survey, which included questions related to payer mix, funding sources, billing codes used, and patient population demographics. Qualitative interviews were conducted with clinic representatives, focusing on barriers or facilitators clinics experienced affecting their progression to the next RE-AIM step. RESULTS: One thousand ninety-nine surveys were sent to primary care clinics across New York State, with 107 (9.7%) completing a survey. Significant differences were observed among the different RE-AIM steps for multiple demographic variables including primary payer, percentage of patients with a diagnose of depression or anxiety, and percent of behavioral health services that are reimbursed, in addition to others. Three main themes regarding barriers and facilitators to implementing CoCM for New York State Medicaid billing emerged from 31 qualitative interviews: (1) Billing requirements, (2) Reimbursement rates, and (3) Buy-in to CoCM. CONCLUSIONS: Survey data align with what we would expect to see demographically in NYS primary care clinics. Qualitative data indicated that CoCM billing requirements/structure and reimbursement rates were perceived as barriers to providing CoCM, particularly with New York State Medicaid, and that buy-in, which included active involvement from organizational leaders and providers that understand the Collaborative Care model were facilitators. Having dedicated staff to manage billing and data reporting is one way clinics minimize barriers, however, there appeared to be a disconnect between what clinics can bill for and the reimbursed amount several clinics are receiving, illustrating the need for stronger billing workflows and continued refinement of billing options across different payers.

Integrated primary care psychology training programs: Challenges and strategies.

INTRODUCTION: Integrating behavioral health in primary care improves quality of care and outcomes for patients with comorbid conditions. Shortage of a trained behavioral health workforce limits adoption. Professional psychology training programs contribute to recruitment, retention, and development of skilled providers, who value and deliver behavioral health services in primary care. This study interviewed a cohort of established psychology training programs in real-world, state-wide clinical primary care settings and identified their strategies and challenges with teaching practices and program resources that impact the robust quality of training. METHOD: Between December 2020 and March 2021, we conducted semistructured interviews with 12 licensed psychologists who oversaw nine integrated primary care psychology training programs at the internship and postdoctoral levels across Washington State. Data were analyzed using a thematic approach. RESULTS: Programs taught psychology trainees about integrated primary care via extensive onboarding, modeling and shadowing, structured learning environment, interprofessional education opportunities, flexible and cross-disciplinary supervision, and a psychologically safe space. Teaching challenges included balancing scheduled and curbside supervision, pivoting to telehealth, and aligning trainee expectations and program requirements. Training programs were funded through different and multiple sources, but most lacked a stable funding mechanism, compounded by barriers for psychology trainees to bill for services, a lack of control over organization's budgeting decisions, and instability in funding renewal. CONCLUSION: Synergistic support from program, organization, and system/policy levels are needed to align teaching activities with clinical practice environments and invest in the growth and sustainability of psychology training programs on integrated primary care. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Remote Collaborative Care With Off-Site Behavioral Health Care Managers: A Systematic Review of Clinical Trials.

BACKGROUND: In the United States, most patients who require behavioral health care do not receive it owing to an overall shortage of behavioral health specialists. The Collaborative Care Model (CoCM) is a team-based, highly-coordinated approach to treating common mental health conditions in primary care that has a robust evidence base. Several recent randomized controlled trials have demonstrated the effectiveness of remote CoCM teams. As telehealth technology advances and uptake expands, understanding the evidence for remote CoCM becomes increasingly crucial to inform CoCM practice and implementation. OBJECTIVE: The objective of this study was to systematically review randomized controlled trials regarding the effectiveness of remote CoCM teams in treating common psychiatric conditions in primary care and medical settings. METHODS: Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines were used to structure our review. Our search strategy and development of search terms was informed by knowledge and review of the CoCM literature. Articles were reviewed by 3 authors, and once selected, they were sent to 2 authors for further data extraction to describe various study characteristics and process measures relating to remote CoCM. RESULTS: The literature search identified 13,211 articles, 9 of which met inclusion criteria. The 9 studies collectively demonstrate effectiveness of remote CoCM in treating a range of behavioral health conditions (depression [n = 7], anxiety [n = 2], and PTSD [n = 1]), across various populations and settings. Sample sizes ranged from 191 patients to 704 patients, publication dates from 2004 to 2018, and studies were conducted from 2000 to 2014. Various process measures were also reported. CONCLUSIONS: As the 9 studies included in our systematic review demonstrate, remote CoCM can be effective in treating a range of behavioral health conditions in various primary care and specialty medical settings. These findings suggest organizations may have more flexibility in building their CoCM team and drawing upon wider workforces than previously recognized. As recent shifts in telehealth policy and practice continue to motivate telehealth approaches, further research that can inform best practices for remote CoCM will be useful and valuable to those making organizational decisions when implementing integrated care models.

A qualitative study of strategies and challenges in training behavioral health workforce for integrated primary care.

Context: COVID-19 has underscored the need to accelerate behavioral health (BH) integration in primary care, where many patients seek mental health services. Expanding BH integration requires a strong and sustainable BH workforce trained to work in primary care. Psychology internship is a critical period of development when doctorate-level therapists receive supervised clinical experiences with integrated primary care. Objective: To explore the strategies and challenges of teaching psychology trainees to practice BH in primary care. Study design: Qualitative study. Setting: Nine out of 11 psychology internship and postdoctoral fellowship programs across the Washington State that provide integrated primary care training were recruited. Response rate was 82%. Population studied: Twelve training leads and supervisors completed semi-structured interviews between December 2020 - March 2021. Outcome measures: Interviews focused on participant experiences with providing educational training and supervision to psychology trainees practicing integrated primary care. Data were analyzed using grounded theory approach. Results: Four strategies emerged - orient trainees with extensive onboarding to the culture, context, and function of primary care; provide a psychologically safe space for open dialogues that facilitate professional identity development; model the skills needed to collaborate with primary care teams; and create a structured environment for trainees to practice the skills. Training leads and supervisors also reported three challenges - strategies to address trainees' difficulties with acculturating to the culture of primary care; loss of opportunities to shadow and interact with primary care providers due to telemedicine during COVID-19; and limitations of the traditional supervision structure to accommodate the unpredictable and urgent crises experienced by trainees in fast-paced primary care settings. Conclusion: Future recommendations include early exposure to primary care during psychology graduate training, a hybrid model of fixed and flexible supervision schedules, and intentional efforts to define and balance in-person and remote teaching for different types of training needs.

Factors Affecting the Initiation of a Shared Decision Making Program in Obstetric Practices.

As healthcare systems progress toward initiatives that increase patient engagement, stakeholder hopes are that shared decision making (SDM) will become routine practice. Yet, there is limited empirical evidence to guide such SDM program implementations, particularly in obstetric practices. The first stage of any project implementation is the "initiation stage", in which project leaders define a project's purpose and stakeholders and structures are put in place to support the new initiative. Our study's objective was to identify factors affecting the initiation stage of an SDM program implementation project for TOLAC, trial of labor after Cesarean. We conducted a multiple-case study of an SDM program implementation in three obstetric settings in Washington State. The research design and analysis were guided by implementation science frameworks and project management literature. Data sources included interviews with key informants from the State, SDM tool vendors, and three project sites, as well as implementation documents. The study results provide insight into how the identified project implementation factors provide an essential foundation for informing project planning, execution, and reflection/evaluation. In this study, the State's decision aid certification program pressured the project sites to shape the project purpose and engage stakeholders that would meet immediate project requirements (specifically, state requirements). The study reveals that external demands may not be in perfect alignment with the internal necessities required for an SDM program's long-term viability and sustainability. Findings may be used by implementers and researchers to model and strategize the early stages of SDM program implementation projects, particularly in the obstetric setting.

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.

Care manager perspectives on integrating an mHealth app system into clinical workflows: A mixed methods study.

OBJECTIVE: mHealth can be a valuable means of monitoring symptoms and supporting care for rural patients, but barriers to implementation remain. This study aimed to examine care manager perspectives on the adoption, use and impact of an mHealth system deployed within a pragmatic Collaborative Care trial for rural patients with PTSD and/or Bipolar Disorder. METHOD: Sixteen care managers at 12 Federally Qualified Health Centers in 3 states participated in semi-structured interviews. Interviews were transcribed, coded, and thematically analyzed using the Unified Theory of Adoption and Use of Technology as a conceptual framework. App metadata was used to assess the frequency of a care manager reported phenomenon, clinically disengaged app use. RESULTS: 4 themes were identified: infrastructural limitations; redundant and incompatible clinical and mHealth workflows; cross platform and web access; and patient engagement and clinically disengaged app use. Most users had a period of consistently submitting symptom measures via the app while disengaged from care for >4 weeks.

Bipolar disorder and PTSD screening and telepsychiatry diagnoses in primary care.

OBJECTIVE: To describe clinical diagnoses from telepsychiatrist consultation in safety net primary care settings for adult patients screening positive for bipolar disorder, PTSD, or both. METHODS: Patients were administered the PTSD Checklist (PCL-6) and the Composite International Diagnostic Interview 3.0 (CIDI) for bipolar disorder. Positive screening result definitions were PCL-6 score of ≥14 and CIDI positive stem question responses and score of ≥8. Patient characteristics were assessed by survey. Psychiatrists consulted in primary care via telehealth and recorded clinical diagnoses. RESULTS: Among 767 patients attending consultation with a telepsychiatrist, 495 (65%) screened PCL-6 positive only, 249 (32%) screened both PCL-6 and CIDI positive, and 23 (3%) screened CIDI positive. Approximately two-thirds screening PCL-6 positive were diagnosed with PTSD, and most had comorbid mood disorder diagnoses, with bipolar disorder diagnosis occurring more often in those screening CIDI positive compared to negative (42% vs. 15%). Positive predictive values were 64.9% for PCL-6 and 43.8% for CIDI. CONCLUSION: Most individuals screening positive for PTSD and/or bipolar disorder had two or more psychiatric diagnoses; misclassification exists for both instruments but was greater for CIDI. Psychiatrist consultation early in treatment for individuals screening positive on the PCL-6 and/or CIDI could help clarify diagnoses and improve treatment planning.

Implementing collaborative care to reduce depression for rural native American/Alaska native people.

BACKGROUND: The purpose of this study was to identify the effects of Collaborative Care on rural Native American and Alaska Native (AI/AN) patients. METHODS: Collaborative Care was implemented in three AI/AN serving clinics. Clinic staff participated in training and coaching designed to facilitate practice change. We followed clinics for 2 years to observe improvements in depression treatment and to examine treatment outcomes for enrolled patients. Collaborative Care elements included universal screening for depression, evidence-based treatment to target, use of behavioral health care managers to deliver the intervention, use of psychiatric consultants to provide caseload consultation, and quality improvement tracking to improve and maintain outcomes. We used t-tests to evaluate the main effects of Collaborative Care and used multiple linear regression to better understand the predictors of success. We also collected qualitative data from members of the Collaborative Care clinical team about their experience. RESULTS: The clinics participated in training and practice coaching to implement Collaborative Care for depressed patients. Depression response (50% or greater reduction in depression symptoms as measured by the PHQ-9) and remission (PHQ-9 score less than 5) rates were equivalent in AI/AN patients as compared with White patients in the same clinics. Significant predictors of positive treatment outcome include only one depression treatment episodes during the study and more follow-up visits per patient. Clinicians were overall positive about their experience and the effect on patient care in their clinic. CONCLUSIONS: This project showed that it is possible to deliver Collaborative Care to AI/AN patients via primary care settings in rural areas.

What do people think about genetics? A systematic review.

Genetics is increasingly becoming a part of modern medical practice. How people think about genetics' use in medicine and their daily lives is therefore essential. Earlier studies indicated mixed attitudes about genetics. However, this might be changing. Using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) as a guideline, we initially reviewed 442 articles that looked at awareness, attitudes, knowledge, and perception of risks among the general and targeted recruitment populations. After fitting our criteria (from the last 5 years, conducted in the USA, non-provider populations, quantitative results reported, and assessed participants 18 years and older), finally 51 eligible articles were thematically coded and presented in this paper. Awareness is reported as relatively high in the studies reviewed. Attitudes are mixed but with higher proportions reporting positive attitudes towards genetic testing and counseling. Self-reported knowledge is reasonably high, specifically with the effects of specific programs developed to raise knowledge levels of the general and targeted recruited populations. Perception of risk is somewhat aligned with actual risk. With the reasonable positive reports of genetic awareness and knowledge, there is similar positive attitude and perception of risk, supporting the need for continued dissemination of such knowledge. Given interest in incorporating community participation in genomic educational strategies, we provide this review as a baseline from which to launch community-specific educational supports and tools.