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BACKGROUND: To address needs for emotional well-being resources for Californians during the COVID-19 pandemic, the Together for Wellness/Juntos por Nuestro Bienestar (T4W/Juntos) website was developed in collaboration with multiple community partners across California, funded by the California Department of Health Care Services Behavioral Health Division federal emergency response. OBJECTIVE: This qualitative study was designed to explore and describe the perspectives of participants affiliated with California organizations on the T4W/Juntos website, understand their needs for web-based emotional health resources, and inform iterative website development. METHODS: After providing informed consent and reviewing the website, telephone interviews were conducted with 29 participants (n=21, 72% in English and n=8, 28% in Spanish) recruited by partnering community agencies (October 2021-February 2022). A 6-phase thematic analysis was conducted, enhanced using grounded theory techniques. The investigators wrote reflexive memos and performed line-by-line coding of 12 transcripts. Comparative analyses led to the identification of 15 overarching codes. The ATLAS.ti Web software (ATLAS.ti Scientific Software Development GmbH) was used to mark all 29 transcripts using these codes. After examining the data grouped by codes, comparative analyses led to the identification of main themes, each with a central organizing concept. RESULTS: Four main themes were identified: (1) having to change my coping due to the pandemic, (2) confronting a context of shifting perceptions of mental health stigma among diverse groups, (3) Feels like home-experiencing a sense of inclusivity and belonging in T4W/Juntos, and (4) Its a one-stop-shop-judging T4W/Juntos to be a desirable and useful website. Overall, the T4W/Juntos website communicated support and community to this sample during the pandemic. Participants shared suggestions for website improvement, including adding a back button and a drop-down menu to improve functionality as well as resources tailored to the needs of groups such as older adults; adolescents; the lesbian, gay, bisexual, transgender, and queer community; police officers; and veterans. CONCLUSIONS: The qualitative findings from telephone interviews with this sample of community members and service providers in California suggest that, during the COVID-19 pandemic, the T4W/Juntos website was well received as a useful, accessible tool, with some concerns noted such as language sometimes being too professional or clinical. The look, feel, and content of the website were described as welcoming due to pictures, animations, and videos that showcased resources in a personal, colorful, and inviting way. Furthermore, the content was perceived as lacking the stigma typically attached to mental health, reflecting the commitment of the T4W/Juntos team. Unique features and diverse resources, including multiple languages, made the T4W/Juntos website a valuable resource, potentially informing dissemination. Future efforts to develop mental health websites should consider engaging a diverse sample of potential users to understand how to tailor messages to specific communities and help reduce stigma.

BACKGROUND: Effective interventions are needed to address suicide risk following discharge from the hospital emergency department or inpatient setting. Studies that examine follow-up contact methods show promise, but little is known about how follow-up programs are implemented in the real world and who is benefitting. The purpose of this formative evaluation and analysis was to gain insight about the usefulness and value of a partnered suicide prevention follow-up program (academic medical center emergency department partnered with a regional suicide prevention center) from the standpoint of psychiatry resident physicians providing direct care and suicide prevention center crisis counselors making follow-up outreach telephone calls to patients. METHODS: A qualitative thematic analysis was conducted with focus group data from a convenience sample of psychiatry residents who performed consultations in the emergency department setting and counselors at the suicide prevention center crisis follow-up program. Focus group sessions, using semi-structured question guides, were completed at each participant groups workplace. Grounded theory techniques were used to guide coding and analytic theme development. RESULTS: Analyses resulted in four overarching themes: valuing the programs utility and benefit to patients, desiring to understand what happens from emergency department discharge to program follow-up, having uncertainty about which patients would benefit from the program, and brainstorming to improve the referral process. Psychiatry residents appreciated the option of an active referral service (one that attempts to actively engage a patient after discharge through outreach), while suicide prevention crisis counselors valued their ability to offer a free and immediate service that had potential for fostering meaningful relationships. Both participant groups desired a better understanding of their partners program operations, a uniform and smooth referral process, and awareness of who may or may not benefit from program services. CONCLUSION: Results revealed the need for improved communication and implementation, such as expanded inter-agency contacts, consistent provider training, more documentation of the requirements and rules, a consistent message about program logistics for patients, and coordination between the program elements.

BackgroundDespite its relevance for healthcare settings, social and behavioral risk screening is not systematically performed by clinicians or healthcare systems.ObjectiveTo address clinician concerns, such as social and behavioral risk screening disrupting the clinician-patient relationship and lack of resources to respond, we interviewed primary care patients at an academic medical center regarding their perceptions and preferences on social and behavioral risk screening.ParticipantsBetween September and December 2020, we recruited a convenience sample of 14 English-speaking primary care patients 18 years + from three clinics affiliated with an academic medical center.ApproachUsing a semi-structured interview guide, we asked about the importance of social and behavioral risk screening, whether or not and how to share social and behavioral risk factors, and how social and behavioral risk factors are addressed. We used a multi-step analytic process to identify the range and commonality of participants' responses thematically.Key resultsParticipants recognized that social and behavioral risk factor domains were relevant to primary care and important for treating the patient as a whole person. Participants preferred a conversation regarding social and behavioral risk factor with their primary care providers (PCPs), and suggested that, if surveys are used, they be followed with an open-ended, in-person discussion. Participants also suggested framing the discussion as something that is done routinely with all patients so that patients do not feel judged. Participants felt comfortable sharing social and behavioral risk factors when they trusted their PCPs, and felt that discussing social and behavioral risk factors with their PCPs built trust. Participants recognized that resources exist outside of the clinic, and suggested that PCPs distribute lists of relevant community resources to patients.ConclusionIn our study of primary care patients on perceptions and preferences about screening and addressing social and behavioral risk factors, we found that patients were willing to share social and behavioral risk factors with their PCP, preferred an in-person discussions with or without a survey, and wanted a list of community resources to address their needs.

ObjectiveResident physicians are critical frontline workers during pandemics, and little is known about their health. The study examined occupational and mental health risks among US psychiatry residents before and during the first COVID-19 surge.MethodsLongitudinal data were collected from a cohort of US psychiatry residents at one academic medical center in October 2019, before the pandemic, and April 2020 after the initiation of a state-level stay-at-home order. Primary outcome measures were psychological work empowerment, defined as one's self-efficacy towards their work role, and occupational burnout. A secondary outcome was mental health. In May and June 2020, resident engagement sessions were conducted to disseminate study findings and consider their implications.ResultsFifty-seven out of 59 eligible residents participated in the study (97%). Half the study sample reported high burnout. From before to during the first COVID-19 surge, psychological work empowerment increased in the total sample (p = 0.03); and mental health worsened among junior residents (p = 0.004), not senior residents (p = 0.12). High emotional exhaustion and depersonalization were associated with worse mental health (p

BackgroundCommunity input is crucial for identifying characteristics necessary for equitable, sustainable community-academic partnerships (CAPs). A November 2021 conference, honoring the late Dr. Loretta Jones and the Community-Partnered Participatory Research (CPPR) model, was held to gather input for designing a learning institute for community members as co-equal partners with academics in research, program, and policy initiatives. This created an opportunity to explore attendees' perspectives on challenges and opportunities related to CAPs with special focus on promoting equity.MethodsInstitutional Review Board approval was obtained. Five break-out discussion group sessions were conducted in November 2021 co-facilitated by both an academic and a community leader. After consent, discussions were recorded and transcribed. An iterative procedure for collaborative-group-thematic-analysis was developed. The six-phase process included rigorous coding, discussion, comparison of data with data, and development and refinement of themes and subthemes.ResultsA total of 38 racial-ethnically diverse participants volunteered from the total conference audience of 62 community and academic partners from various sectors including community-based organizations, health care, social services, academia, or policy within Los Angeles County. Analysis led to development of three themes: Being cautious with the extractive tendency of academia and the need for anti-racism within CAPs; Leveraging community power to resist the top-down lens of academia; and bridging two worlds through an equitably structured table.DiscussionParticipants described optimism about the future uses of CPPR to enhance CAPs, and the need to address barriers to equitable partnerships owing to unequal social contexts and entrenched power dynamics. Implications include addressing racism, evaluating financial equity in partnerships to promote accountability, and mentoring community leaders to promote equity.ConclusionUse of a "community lens" for developing sustainable, equitable CAPs is crucial to promote accountability and to responsibly implement authentic CPPR.

BACKGROUND: Persons who experience homelessness (PEH) have high rates of depression and incur challenges accessing high-quality health care. Some Veterans Affairs (VA) facilities offer homeless-tailored primary care clinics, although such tailoring is not required, within or outside VA. Whether services tailoring enhances care for depression is unstudied. OBJECTIVE: To determine whether PEH in homeless-tailored primary care settings receive higher quality of depression care, compared to PEH in usual VA primary care. DESIGN: Retrospective cohort study of depression treatment among a regional cohort of VA primary care patients (2016-2019). PARTICIPANTS: PEH diagnosed or treated for a depressive disorder. MAIN MEASURES: The quality measures were timely follow-up care (3 + completed visits with a primary care or mental health specialist provider, or 3 + psychotherapy sessions) within 84 days of a positive PHQ-2 screen result, timely follow-up care within 180 days, and minimally appropriate treatment (4 + mental health visits, 3 + psychotherapy visits, 60 + days antidepressant) within 365 days. We applied multivariable mixed-effect logistic regressions to model differences in care quality for PEH in homeless-tailored versus usual primary care settings. KEY RESULTS: Thirteen percent of PEH with depressive disorders received homeless-tailored primary care (n = 374), compared to usual VA primary care (n = 2469). Tailored clinics served more PEH who were Black, who were non-married, and who had low income, serious mental illness, and substance use disorders. Among all PEH, 48% received timely follow-up care within 84 days of depression screening, 67% within 180 days, and 83% received minimally appropriate treatment. Quality metric attainment was higher for PEH in homeless-tailored clinics, compared to PEH in usual VA primary care: follow-up within 84 days (63% versus 46%; adjusted odds ratio [AOR] = 1.61, p = .001), follow-up within 180 days (78% versus 66%; AOR = 1.51, p = .003), and minimally appropriate treatment (89% versus 82%; AOR = 1.58, p = .004). CONCLUSIONS: Homeless-tailored primary care approaches may improve depression care for PEH.

Studies of health care access and use among historically resilient populations, while common, often field a limited sample size and rarely ask the groups most impacted by health inequities to weigh in. This is especially so for research and programs that focus on the American Indian and Alaska Native (AIAN) population. The present study addresses this gap by examining data from a cross-sectional survey of AIANs in Los Angeles County. To better interpret project findings and generate culturally relevant contexts, qualitative feedback was gathered at a community forum held in Spring 2018. Because recruitment of AIANs has historically been challenging, purposive sampling was employed to strategically identify a larger eligible pool. Among those who were eligible, 94% completed the survey (n = 496). AIANs who were enrolled in a tribe were 32% more likely to use the Indian Health Service (IHS), compared with those who were not enrolled (95% CI: 20.4%, 43.2%; p < .0001). In multivariable modeling, the strongest factors influencing IHS access and use were: tribal enrollment, preference for culturally-specific health care, proximity of the services to home or work, having Medicaid, and having less than a high school education. Feedback from the community forum indicated cost and trust (of a provider) were important considerations for most AIANs. Study findings reveal heterogeneous patterns of health care access and use in this population, suggesting a need to further improve the continuity, stability, and the image of AIANs' usual sources of care (e.g., IHS, community clinics).

There is an emerging literature on research interviews to inform arts projects, but little on opera. This case study illustrates how research data informed an opera on Veteran recovery. Deidentified interviews were selected from 280 adults with a history of depression at 10-year follow-up to a randomized trial. Interviews were used to inform characters, storyline, and libretto. Ethical strategies included: changing details and merging stories and characters to create two Veterans and one spouse as leads, a storyline, and choral passages, with a focus on recovery from post-traumatic stress and homelessness. To engage a broad audience and address stigma, accessible composition techniques (melody, harmony) were used. We found that qualitative/mixed data can inform libretto and composition for an opera on Veteran recovery, through integrating art and health science.

Resettled refugees from Muslim-majority countries are underrepresented in research and meeting their mental health needs remains a challenge for countries of resettlement. In this integrative review, we synthesize community-based mental health interventions using an ecological framework. Eleven relevant studies were identified using PubMed and PsychInfo database. Most interventions focus on micro-system level factors like promoting integration and social connections suggest improvement of outcomes including depression, anxiety, and psychological distress. Studies suggest how mental health programs addressing psychosocial wellbeing improves outcomes across ecological levels through: (1) early screening upon resettlement; (2) education and raising awareness of mental health; and (3) engagement of refugees in local community social support systems. Largely qualitative studies suggest benefits of engagement and education program for refugees, but there is a need for high quality, rigorous mental health intervention studies with resettled refugees with explicit attention to equitable and collaborative partnerships across multiple sectors in the community.

BackgroundThe COVID-19 pandemic increased disparities for communities burdened by structural barriers such as reduced affordable housing, with mental health consequences. Limited data are available on digital resources for public mental health prevention during the COVID-19 pandemic.ObjectiveThe study aim was to evaluate engagement in and impact of free digital resources on the Together for Wellness/Juntos por Nuestro Bienestar (T4W/Juntos) website during COVID-19 in California.MethodsA pilot evaluation of T4W/Juntos was performed, with partner agencies inviting providers, clients, and partners to visit the website and complete surveys at baseline (September 20, 2021, to April 4, 2022) and at 4-6-week follow-up (October 22, 2021, to May 17, 2022). Website use was assessed by three engagement items (ease of use, satisfaction, relevance), comfort in use, and use of six resource categories. Primary outcomes at follow-up were depression and anxiety (scores≥3 on Patient Health Questionnaire-2 item [PHQ2] and Generalized Anxiety Disorder-2 item [GAD2] scales). Secondary outcomes were post-pre differences in PHQ2 and GAD2 scores, and use of behavioral health hotlines and services the month before follow-up.ResultsOf 366 eligible participants, 315 (86.1%) completed baseline and 193 (61.3%) completed follow-up surveys. Of baseline participants, 72.6% identified as female, and 21.3% identified as lesbian, gay, bisexual, transgender, queer/questioning, and others (LGBTQ+). In terms of ethnicity, 44.0% identified as Hispanic, 17.8% as African American, 26.9% as non-Hispanic white, and 11.4% as other ethnicity. Overall, 32.7% had moderate anxiety or depression (GAD2/PHQ2≥3) at baseline. Predictors of baseline website engagement included being Hispanic versus other race/ethnicity (β=.27, 95% CI .10-.44; P=.002) and number of COVID-19-related behavior changes (β=.09, 95% CI .05-.13; P

AbstractThe long-term course of depression is not well-understood among minority women. We assessed depression trajectory, barriers to depression care, and life difficulties among minority women accessing health and social service programs as part of the Community Partners in Care study. Data include surveys ( N = 339) and interviews ( n = 58) administered at 3-year follow-up with African American and Latina women with improved versus persistent depression. The majority of the sample reported persistent depression (224/339, 66.1%), ≥1 barrier to mental health care (226/339, 72.4%), and multiple life difficulties (mean, 2.7; SD, 2.3). Many barriers to care ( i.e. , related to stigma and care experience, finances, and logistics) and life difficulties ( i.e. , related to finances, trauma, and relationships) were more common among individuals reporting persistent depression. Results suggest the importance of past experiences with depression treatment, ongoing barriers to care, and negative life events as contributors to inequities in depression outcomes experienced by minority women.

Although climate change poses a threat to health and well-being globally, a regional approach to addressing climate-related health equity may be more suitable, appropriate, and appealing to under-resourced communities and countries. In support of this argument, this commentary describes an approach by a network of researchers, practitioners, and policymakers dedicated to promoting climate-related health equity in Small Island Developing States and low- and middle-income countries in the Pacific. We identify three primary sets of needs related to developing a regional capacity to address physical and mental health disparities through research, training, and assistance in policy and practice implementation: (1) limited healthcare facilities and qualified medical and mental health providers; (2) addressing the social impacts related to the cooccurrence of natural hazards, disease outbreaks, and complex emergencies; and (3) building the response capacity and resilience to climate-related extreme weather events and natural hazards.

BACKGROUND: Arts can influence mental health stigma, but little is known about impact of operas. We examined effects of a two-opera workshop on complicated grief and schizophrenia. METHODS: Pre-post audience surveys with post-workshop discussion. The primary outcome was a 4-item measure of willingness to engage with persons with grief or schizophrenia. Secondary outcomes were perceptions of art affecting stigma and stigma mediators. Of 47 participants, 33 had pre-post surveys for both operas. RESULTS: There was a significant pre-post opera increase in audience willingness to engage with persons with grief or schizophrenia (p

BackgroundOpen design formats for mobile apps help clinicians and stakeholders bring their needs to direct, co-creative solutions. Palliative care for patients with advanced cancers requires intensive monitoring and support and remains an area in high need for innovation.ObjectiveThis study aims to use community-partnered participatory research to co-design and pretest a mobile app that focuses on palliative care priorities of clinicians and patients with advanced cancer.MethodsIn-person and teleconference workshops were held with patient and family stakeholders, researchers, and clinicians in palliative care and oncology. Question prompts, written feedback, semistructured interviews, and facilitated group discussions identified the core palliative care needs. Using Chorus, a no-code app-building platform, a mobile app was co-designed with the stakeholders. A pretest with 11 patients was conducted, with semistructured interviews of clinician and patient users for feedback.ResultsKey themes identified from the focus groups included needs for patient advocacy and encouragement, access to vetted information, patient-clinician communication support, and symptom management. The initial prototype, My Wellness App, contained a weekly wellness journal to track patient-reported symptoms, goals, and medication use; information on self-management of symptoms; community resources; and patient and caregiver testimonial videos. Initial pretesting identified value in app-based communication for clinicians, patients, and caregivers, with suggestions for improving user interface, feedback and presentation of symptom reports, and gamification and staff coordinators to support patient app engagement.ConclusionsThe development of a mobile app using community-partnered participatory research is a low-technology and feasible intervention for palliative care. Iterative redesign and user interface expertise may improve implementation.

ImportanceIn 2016, the US Preventive Services Task Force newly recommended universal screening for depression, with the expectation that screening would be associated with appropriate treatment. Few studies have been able to assess the population-based trajectory from screening to receipt of follow-up and treatment for individuals with depression.ObjectiveTo examine adherence to guidelines for follow-up and treatment among primary care patients who newly screened positive for depression in the Veterans Health Administration (VA).Design, setting, and participantsThis retrospective cohort study used VA electronic data to identify patients who newly screened positive for depression on the 2-item Patient Health Questionnaire at 82 primary care VA clinics in California, Arizona, and New Mexico between October 1, 2015, and September 30, 2019. Data analysis was performed from December 2020 to August 2021.Main outcomes and measuresReceipt of guideline-concordant care for screen-positive patients who were determined by clinicians as having depression was assessed. Timely follow-up (within 84 days of screening) was defined as receiving 3 or more mental health specialty visits, 3 or more psychotherapy visits, or 3 or more primary care visits with a depression diagnosis according to the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision. Completing at least minimal treatment (within 12 months) was defined as having 60 days or more of antidepressant prescriptions filled, 4 or more mental health specialty visits, or 3 or more psychotherapy visits.ResultsThe final cohort included 607 730 veterans (mean [SD] age, 59.4 [18.2] years; 546 516 men [89.9%]; 339 811 non-Hispanic White [55.9%]); 8%, or 82 998 of 997 185 person-years, newly screened positive for depression. Clinicians identified fewer than half with depression (15 155 patients), of whom 32% (5034 of 15 650 person-years) met treatment guidelines for timely follow-up and 77% (12 026 of 15 650 person-years) completed at least minimal treatment. Younger age (odds ratio, 0.990; 95% CI, 0.986-0.993; P

This Open Forum describes the process of integrating personal experience; clinical experience in providing care; and research background, methods, and data in creating an arts project (i.e., an opera) highlighting veterans resilience and recovery in the context of posttraumatic stress disorder and homelessness. Specifically, an approach of using research interviews to identify storylines and characters for veterans, along with personal and clinical experiences to frame provider characters and stories, is described to illustrate an arts-in-medicine approach to portraying recovery among veterans.

A state-academic-community partnership formed in response to the mental health needs fueled by the COVID-19 pandemic and the disproportionate effects on marginalized communities. Taking a community-partnered approach and using a health equity lens, the partnership developed a website to guide users through digital mental health resources, prioritizing accessibility, engagement, and community needs.

Understanding client perceptions of need for underlying social determinant support may improve services for depression care. This secondary analysis examines perceptions of "social needs" related to housing and employment, financial, and legal (EFL) concerns among individuals with depression. Data were analyzed from Community Partners in Care, a randomized comparative effectiveness trial of multi-sector collaborative care for depression among a sample of people who were predominantly racial/ethnic minorities and low-income. Adults with depression (n = 980) in both interventions were surveyed at 36-month follow-up for (1) being asked about and (2) having social needs for housing or EFL concerns. In multivariate models, life difficulty and mental health visits in non-healthcare sectors predicted being asked about housing and EFL. Lower social determinants of health-related life satisfaction increased the odds of having unmet housing and EFL needs. These findings underscore the role of non-healthcare organizations as community resources for depression care and in screening and addressing social needs.

Coastal communities in South Louisiana and worldwide are increasingly impacted by climate-related events such as hurricanes, floods, and rising sea levels. In addition, they have recently faced the burden of a global pandemic that may also be a consequence of climate change. In many under-resourced communities, nongovernmental community-based organizations (CBOs) represent the backbone of the response to the COVID-19 pandemic. However, little is known about the pandemic's impact on the efforts of these organizations to support and sustain individual and community resilience to this event and to the disruptive impacts of climate change-related weather events. Procedures embedded in the Rapid Assessment Procedure - Informed Community Ethnography methodology were used to analyze data collected from semi-structured interviews with 26 representatives of 24 different community-based programs in South Louisiana. The pandemic created numerous challenges to under-resourced community resilience by revealing the fragmented nature of community solidarity in adhering to public health guidelines; the lack of available social, political, and economic resources; and the influence of systemic racism and social determinants of health. To address these challenges, communities relied on social connections and support; prior experiences with climate-related disasters and adversity; and the resilience building, supporting, and sustaining efforts of CBOs. These organizations have responded to these challenges through provision of new services, expansion of existing services, providing access to training webinars, partnerships with other CBOs, and initiatives to address broader social issues, while balancing the disparity between increased demand and reduced supply of services and increased reliance on technology that is not uniformly accessible to all communities and residents. In responding to the pandemic, CBOs have played a major role in addressing the threats to individual and community resilience needed to prepare for and respond to natural disasters and other consequences of global environmental change in underserved communities.

This paper explores the effects of a group-randomized controlled trial, Community Partners in Care (CPIC), on the development of interagency networks for collaborative depression care improvement between a community engagement and planning (CEP) intervention and a resources for services (RS) intervention that provided the same content solely via technical assistance to individual programs. Both interventions consisted of a diverse set of service agencies, including health, mental health, substance abuse treatment, social services, and community-trusted organizations such as churches and parks and recreation centers. Participants in the community councils for the CEP intervention reflected a range of agency leaders, staff, and other stakeholders. Network analysis of partnerships among agencies in the CEP versus RS condition, and qualitative analysis of perspectives on interagency network changes from multiple sources, suggested that agencies in the CEP intervention exhibited greater growth in partnership capacity among themselves than did RS agencies. CEP participants also viewed the coalition development intervention both as promoting collaboration in depression services and as a meaningful community capacity building activity. These descriptive results help to identify plausible mechanisms of action for the CPIC interventions and can be used to guide development of future community engagement interventions and evaluations in under-resourced communities.

Background: This year has seen the emergence of two major crises, a significant increase in the frequency and severity of hurricanes and the COVID-19 pandemic. However, little is known as to how each of these two events have impacted the other. A rapid qualitative assessment was conducted to determine the impact of the pandemic on preparedness and response to natural disasters and the impact of past experiences with natural disasters in responding to the pandemic. Methods: Semi-structured interviews were conducted with 26 representatives of 24 different community-based programs in southern Louisiana. Data were analyzed using procedures embedded in the Rapid Assessment Procedure-Informed Community Ethnography methodology, using techniques of immersion and crystallization and focused thematic analysis. Results: The pandemic has impacted the form and function of disaster preparedness, making it harder to plan for evacuations in the event of a hurricane. Specific concerns included being able to see people in person, providing food and other resources to residents who shelter in place, finding volunteers to assist in food distribution and other forms of disaster response, competing for funds to support disaster-related activities, developing new support infrastructures, and focusing on equity in disaster preparedness. However, several strengths based on disaster preparedness experience and capabilities were identified, including providing a framework for how to respond and adapt to COVID and integration of COVID response with their normal disaster preparedness activities. Conclusions: Although prior experience has enabled community-based organizations to respond to the pandemic, the pandemic is also creating new challenges to preparing for and responding to natural disasters.

ObjectivesHeart Failure is a chronic syndrome affecting over 5.7 million in the US and 26 million adults worldwide with nearly 50% experiencing depressive symptoms. The objective of the study is to compare the effects of two evidence-based treatment options for adult patients with depression and advanced heart failure, on depressive symptom severity, physical and mental health related quality of life (HRQoL), heart-failure specific quality of life, caregiver burden, morbidity, and mortality at 3, 6 and 12-months.MethodsTrial design. Pragmatic, randomized, comparative effectiveness trial. Interventions. The treatment interventions are: (1) Behavioral Activation (BA), a patient-centered psychotherapy which emphasizes engagement in enjoyable and valued personalized activities as selected by the patient; or (2) Antidepressant Medication Management administered using the collaborative care model (MEDS). Participants. Adults aged 18 and over with advanced heart failure (defined as New York Heart Association (NYHA) Class II, III, and IV) and depression (defined as a score of 10 or above on the PHQ-9 and confirmed by the MINI International Neuropsychiatric Interview for the DSM-5) selected from all patients at Cedars-Sinai Medical Center who are admitted with heart failure and all patients presenting to the outpatient programs of the Smidt Heart Institute at Cedars-Sinai Medical Center. We plan to randomize 416 patients to BA or MEDS, with an estimated 28% loss to follow-up/inability to collect follow-up data. Thus, we plan to include 150 in each group for a total of 300 participants from which data after randomization will be collected and analyzed.ConclusionsThe current trial is the first to compare the impact of BA and MEDS on depressive symptoms, quality of life, caregiver burden, morbidity, and mortality in patients with depression and advanced heart failure. The trial will provide novel results that will be disseminated and implemented into a wide range of current practice settings.RegistrationClinicalTrials.Gov Identifier: NCT03688100.

ObjectivesHeart Failure is a chronic syndrome affecting over 5.7 million in the US and 26 million adults worldwide with nearly 50% experiencing depressive symptoms. The objective of the study is to compare the effects of two evidence-based treatment options for adult patients with depression and advanced heart failure, on depressive symptom severity, physical and mental health related quality of life (HRQoL), heart-failure specific quality of life, caregiver burden, morbidity, and mortality at 3, 6 and 12-months.MethodsTrial design. Pragmatic, randomized, comparative effectiveness trial. Interventions. The treatment interventions are: (1) Behavioral Activation (BA), a patient-centered psychotherapy which emphasizes engagement in enjoyable and valued personalized activities as selected by the patient; or (2) Antidepressant Medication Management administered using the collaborative care model (MEDS). Participants. Adults aged 18 and over with advanced heart failure (defined as New York Heart Association (NYHA) Class II, III, and IV) and depression (defined as a score of 10 or above on the PHQ-9 and confirmed by the MINI International Neuropsychiatric Interview for the DSM-5) selected from all patients at Cedars-Sinai Medical Center who are admitted with heart failure and all patients presenting to the outpatient programs of the Smidt Heart Institute at Cedars-Sinai Medical Center. We plan to randomize 416 patients to BA or MEDS, with an estimated 28% loss to follow-up/inability to collect follow-up data. Thus, we plan to include 150 in each group for a total of 300 participants from which data after randomization will be collected and analyzed.ConclusionsThe current trial is the first to compare the impact of BA and MEDS on depressive symptoms, quality of life, caregiver burden, morbidity, and mortality in patients with depression and advanced heart failure. The trial will provide novel results that will be disseminated and implemented into a wide range of current practice settings.RegistrationClinicalTrials.Gov Identifier: NCT03688100.

Implementing and sustaining evidence-based programs with fidelity may require multiple implementation strategies tailored to address multi-level, context-specific barriers and facilitators. Ideally, selecting and tailoring implementation strategies should be guided by theory, evidence, and input from relevant stakeholders; however, methods to guide the selection and tailoring of strategies are not well-developed. There is a need for more rigorous methods for assessing and prioritizing implementation determinants (barriers and facilitators) and linking implementation strategies to determinants. The Collaborative Organizational Approach to Selecting and Tailoring Implementation Strategies (COAST-IS) is an intervention designed to increase the effectiveness of evidence-based practice implementation and sustainment. COAST-IS will enable organizational leaders and clinicians to use Intervention Mapping to select and tailor implementation strategies to address their site-specific needs. Intervention Mapping is a multi-step process that incorporates theory, evidence, and stakeholder perspectives to ensure that implementation strategies effectively address key determinants of change. COAST-IS will be piloted with community mental health organizations that are working to address the needs of children and youth who experience trauma-related emotional or behavioral difficulties by engaging in a learning collaborative to implement an evidence-based psychosocial intervention (trauma-focused cognitive behavioral therapy). Organizations will be matched and then randomized to participate in the learning collaborative only (control) or to receive additional support through COAST-IS. The primary aims of this study are to (1) assess the acceptability, appropriateness, feasibility, and perceived utility of COAST-IS; (2) evaluate the organizational stakeholders' fidelity to the core elements of COAST-IS; and (3) demonstrate the feasibility of testing COAST-IS in a larger effectiveness trial. COAST-IS is a systematic method that integrates theory, evidence, and stakeholder perspectives to improve the effectiveness and precision of implementation strategies. If effective, COAST-IS has the potential to improve the implementation and sustainment of a wide range of evidence-based practices in mental health and other sectors. This study was registered in ClinicalTrials.gov (NCT03799432) on January 10, 2019 (last updated August 5, 2019).

Individuals with serious mental illness experience changes in their clinical states over time that are difficult to assess and that result in increased disease burden and care utilization. It is not known if features derived from speech can serve as a transdiagnostic marker of these clinical states. This study evaluates the feasibility of collecting speech samples from people with serious mental illness and explores the potential utility for tracking changes in clinical state over time. Patients (n = 47) were recruited from a community-based mental health clinic with diagnoses of bipolar disorder, major depressive disorder, schizophrenia or schizoaffective disorder. Patients used an interactive voice response system for at least 4 months to provide speech samples. Clinic providers (n = 13) reviewed responses and provided global assessment ratings. We computed features of speech and used machine learning to create models of outcome measures trained using either population data or an individual's own data over time. The system was feasible to use, recording 1101 phone calls and 117 hours of speech. Most (92%) of the patients agreed that it was easy to use. The individually-trained models demonstrated the highest correlation with provider ratings (rho = 0.78, p

The coronavirus pandemic of 2019 (COVID-19) has created unprecedented changes to everyday life for millions of Americans due to job loss, school closures, stay-at-home orders and health and mortality consequences. In turn, physicians, academics, and policymakers have turned their attention to the public mental health toll of COVID-19. This commentary reporting from the field integrates perceptions of academic, community, health system, and policy leaders from state, county, and local levels in commenting on community mental health needs in the COVID-19 pandemic. Stakeholders noted the broad public health scope of mental health challenges while expressing concern about exacerbation of existing disparities in access and adverse social determinants, including for communities with high COVID-19 infection rates, such as African Americans and Latinos. They noted rapid changes toward telehealth and remote care, and the importance of understanding impacts of changes, including who may benefit or have limited access, with implications for future services delivery. Needs for expanded workforce and training in mental health were noted, as well as potential public health value of expanding digital resources tailored to local populations for enhancing resilience to stressors. The COVID-19 pandemic has led to changes in delivery of health care services across populations and systems. Concerns over the mental health impact of COVID-19 has enhanced interest in remote mental care delivery and preventive services, while being mindful of potential for enhanced disparities and needs to address social determinants of health. Ongoing quality improvement across systems can integrate lessons learned to enhance a public mental well-being.

Background: Implementing and sustaining evidence-based programs with fidelity may require multiple implementation strategies tailored to address multi-level, context-specific barriers and facilitators. Ideally, selecting and tailoring implementation strategies should be guided by theory, evidence, and input from relevant stakeholders; however, methods to guide the selection and tailoring of strategies are not well-developed. There is a need for more rigorous methods for assessing and prioritizing implementation determinants (barriers and facilitators) and linking implementation strategies to determinants. The Collaborative Organizational Approach to Selecting and Tailoring Implementation Strategies (COAST-IS) is an intervention designed to increase the effectiveness of evidence-based practice implementation and sustainment. COAST-IS will enable organizational leaders and clinicians to use Intervention Mapping to select and tailor implementation strategies to address their site-specific needs. Intervention Mapping is a multi-step process that incorporates theory, evidence, and stakeholder perspectives to ensure that implementation strategies effectively address key determinants of change.Methods: COAST-IS will be piloted with community mental health organizations that are working to address the needs of children and youth who experience trauma-related emotional or behavioral difficulties by engaging in a learning collaborative to implement an evidence-based psychosocial intervention (trauma-focused cognitive behavioral therapy). Organizations will be matched and then randomized to participate in the learning collaborative only (control) or to receive additional support through COAST-IS. The primary aims of this study are to (1) assess the acceptability, appropriateness, feasibility, and perceived utility of COAST-IS; (2) evaluate the organizational stakeholders' fidelity to the core elements of COAST-IS; and (3) demonstrate the feasibility of testing COAST-IS in a larger effectiveness trial.Discussion: COAST-IS is a systematic method that integrates theory, evidence, and stakeholder perspectives to improve the effectiveness and precision of implementation strategies. If effective, COAST-IS has the potential to improve the implementation and sustainment of a wide range of evidence-based practices in mental health and other sectors.Trial registration: This study was registered in ClinicalTrials.gov (NCT03799432) on January 10, 2019 (last updated August 5, 2019).

The purpose of this exploratory subanalysis was to compare the effects of two depression quality improvement approaches on clinical outcomes and service utilization for individuals with comorbid depression/anxiety. This study used data from Community Partners in Care (CPIC), a cluster-randomized comparative effectiveness trial (N = 1,018; depression = 360; comorbid depression/anxiety = 658). Each intervention arm received the same quality improvement materials, plus either technical support (Resources for Services, RS) or support for collaborative implementation planning (Community Engagement and Planning, CEP). For the comorbid depression/anxiety subgroup, the collaborative planning arm was superior at improving mental health-related quality of life and mental wellness, as well as decreasing behavioral hospitalizations and homelessness risk at 6 months. The effects were not significant at 12 months. A collaborative planning process versus technical support for depression quality improvement can have short-term effects on mental wellness and social determinants of health among those with comorbid depression/anxiety.

PURPOSE OF REVIEW:We review recent community interventions to promote mental health and social equity. We define community interventions as those that involve multi-sector partnerships, emphasize community members as integral to the intervention, and/or deliver services in community settings. We examine literature in seven topic areas: collaborative care, early psychosis, school-based interventions, homelessness, criminal justice, global mental health, and mental health promotion/prevention. We adapt the social-ecological model for health promotion and provide a framework for understanding the actions of community interventions. RECENT FINDINGS:There are recent examples of effective interventions in each topic area. The majority of interventions focus on individual, family/interpersonal, and program/institutional social-ecological levels, with few intervening on whole communities or involving multiple non-healthcare sectors. Findings from many studies reinforce the interplay among mental health, interpersonal relationships, and social determinants of health. There is evidence for the effectiveness of community interventions for improving mental health and some social outcomes across social-ecological levels. Studies indicate the importance of ongoing resources and training to maintain long-term outcomes, explicit attention to ethics and processes to foster equitable partnerships, and policy reform to support sustainable healthcare-community collaborations.

PURPOSE OF REVIEW:We review recent community interventions to promote mental health and social equity. We define community interventions as those that involve multi-sector partnerships, emphasize community members as integral to the intervention, and/or deliver services in community settings. We examine literature in seven topic areas: collaborative care, early psychosis, school-based interventions, homelessness, criminal justice, global mental health, and mental health promotion/prevention. We adapt the social-ecological model for health promotion and provide a framework for understanding the actions of community interventions. RECENT FINDINGS:There are recent examples of effective interventions in each topic area. The majority of interventions focus on individual, family/interpersonal, and program/institutional social-ecological levels, with few intervening on whole communities or involving multiple non-healthcare sectors. Findings from many studies reinforce the interplay among mental health, interpersonal relationships, and social determinants of health. There is evidence for the effectiveness of community interventions for improving mental health and some social outcomes across social-ecological levels. Studies indicate the importance of ongoing resources and training to maintain long-term outcomes, explicit attention to ethics and processes to foster equitable partnerships, and policy reform to support sustainable healthcare-community collaborations.

There is a growing recognition that emotional problems are important to physical health outcomes. In response, primary care clinics have introduced self-report checklists to identify patients with emotional disorders such as depression or anxiety. Yet psychodynamic theory posits that certain emotional problems may be unconscious and unspoken, and thus not discernible on self-report checklists, and studies show that checklists do not identify every patient who needs treatment. New clinical tools are needed to identify subtle and complex presentations. We aimed to develop an innovative mixed-methods approach characterizing different types of verbal expression of feelings, drawing on psychodynamic theory and empirical research. We outline the development of the mixed-methods approach, including our theoretical framework and use of semi-structured interview data from Partners in Care (PIC), a randomized controlled trial of quality improvement for depression. We then illustrate the approach with one case: an older female PIC participant who screened positive for depression on all study self-reports. The approach delineates three qualitatively different categories of words-specific feeling words, vague feeling words, and physical words-that were quantified to define a measurable pattern for our participant. Clinicians could be trained to identify these categories of words in the context of a discussion of feelings to better detect and understand subtle emotional problems in patients who have difficulty talking openly about their feelings. Next steps include furthering face and construct validity and test-retest reliability, examining the prevalence of these patterns in a larger sample, and assessing correlates of patterns.

There is a growing recognition that emotional problems are important to physical health outcomes. In response, primary care clinics have introduced self-report checklists to identify patients with emotional disorders such as depression or anxiety. Yet psychodynamic theory posits that certain emotional problems may be unconscious and unspoken, and thus not discernible on self-report checklists, and studies show that checklists do not identify every patient who needs treatment. New clinical tools are needed to identify subtle and complex presentations. We aimed to develop an innovative mixed-methods approach characterizing different types of verbal expression of feelings, drawing on psychodynamic theory and empirical research. We outline the development of the mixed-methods approach, including our theoretical framework and use of semi-structured interview data from Partners in Care (PIC), a randomized controlled trial of quality improvement for depression. We then illustrate the approach with one case: an older female PIC participant who screened positive for depression on all study self-reports. The approach delineates three qualitatively different categories of words-specific feeling words, vague feeling words, and physical words-that were quantified to define a measurable pattern for our participant. Clinicians could be trained to identify these categories of words in the context of a discussion of feelings to better detect and understand subtle emotional problems in patients who have difficulty talking openly about their feelings. Next steps include furthering face and construct validity and test-retest reliability, examining the prevalence of these patterns in a larger sample, and assessing correlates of patterns.

PurposeAs racial and ethnic heterogeneity in the United States increases, it is important that the health care workforce, including surgery, mirror that diversity. Structural and perceptual barriers may contribute to an underrepresentation of African American and Latino surgeons. Understanding these barriers may translate into interventions and, in turn, improved diversification of the U.S. surgery workforce.MethodIn 2016, the authors conducted in-depth semistructured interviews, exploring structural and perceptual barriers that African American and Latino surgeons face. The authors used conventional qualitative techniques to analyze data and identify themes.ResultsThe authors interviewed 23 participants and observed three major themes characterizing the path to becoming a surgeon: creating a path to medicine, surgical culture, and mentorship. Subthemes provided further nuance. For creating a path to medicine, the subthemes were personal attributes, family support, community assets/barriers, and minority experience. For surgical culture, the subthemes comprised quality of life, surgeon-patient relationship, and restoring health. For mentorship, the subthemes were aspirational figures, formal programs/peer support, and professional opportunities. Experiences described by African Americans and Latinos were similar, but the experiences of participants of different self-identified childhood socioeconomic status were dissimilar.ConclusionsThe path to a surgical career as experienced by African American and Latino surgeons is heavily influenced by mentors mediating their integration into surgical culture and engendering a feeling of belonging. Future surgeons from groups underrepresented in medicine would benefit from identifying aspirational figures early, a structured introduction into the rigors of the profession, and a deconstruction of negative surgical norms.

PurposeAs racial and ethnic heterogeneity in the United States increases, it is important that the health care workforce, including surgery, mirror that diversity. Structural and perceptual barriers may contribute to an underrepresentation of African American and Latino surgeons. Understanding these barriers may translate into interventions and, in turn, improved diversification of the U.S. surgery workforce.MethodIn 2016, the authors conducted in-depth semistructured interviews, exploring structural and perceptual barriers that African American and Latino surgeons face. The authors used conventional qualitative techniques to analyze data and identify themes.ResultsThe authors interviewed 23 participants and observed three major themes characterizing the path to becoming a surgeon: creating a path to medicine, surgical culture, and mentorship. Subthemes provided further nuance. For creating a path to medicine, the subthemes were personal attributes, family support, community assets/barriers, and minority experience. For surgical culture, the subthemes comprised quality of life, surgeon-patient relationship, and restoring health. For mentorship, the subthemes were aspirational figures, formal programs/peer support, and professional opportunities. Experiences described by African Americans and Latinos were similar, but the experiences of participants of different self-identified childhood socioeconomic status were dissimilar.ConclusionsThe path to a surgical career as experienced by African American and Latino surgeons is heavily influenced by mentors mediating their integration into surgical culture and engendering a feeling of belonging. Future surgeons from groups underrepresented in medicine would benefit from identifying aspirational figures early, a structured introduction into the rigors of the profession, and a deconstruction of negative surgical norms.

This manuscript presents the protocol and participatory planning process for implementing the Community Resilience Learning Collaborative and Research Network (C-LEARN) study. C-LEARN is designed to determine how to build a service program and individual client capacity to improve mental health-related quality of life among individuals at risk for depression, with exposure to social risk factors or concerns about environmental hazards in areas of Southern Louisiana at risk for events such as hurricanes and storms. The study uses a Community Partnered Participatory Research (CPPR) framework to incorporate community priorities into study design and implementation. The first phase of C-LEARN is assessment of community priorities, assets, and opportunities for building resilience through key informant interviews and community agency outreach. Findings from this phase will inform the implementation of a two-level (program-level and individual client level) randomized study in up to four South Louisiana communities. Within communities, health and social-community service programs will be randomized to Community Engagement and Planning (CEP) for multi-sector coalition support or Technical Assistance (TA) for individual program support to implement evidence-based and community-prioritized intervention toolkits, including an expanded version of depression collaborative care and resources (referrals, manuals) to address social risk factors such as financial or housing instability and for a community resilience approach to disaster preparedness and response. Within each arm, the study will randomize individual adult clients to one of two mobile applications that provide informational resources on services for depression, social risk factors, and disaster response or also provide psychoeducation on Cognitive Behavioral Therapy to enhance coping with stress and mood. Planned data collection includes baseline, six-month and brief monthly surveys for clients, and baseline and 12-month surveys for administrators and staff.

This manuscript presents the protocol and participatory planning process for implementing the Community Resilience Learning Collaborative and Research Network (C-LEARN) study. C-LEARN is designed to determine how to build a service program and individual client capacity to improve mental health-related quality of life among individuals at risk for depression, with exposure to social risk factors or concerns about environmental hazards in areas of Southern Louisiana at risk for events such as hurricanes and storms. The study uses a Community Partnered Participatory Research (CPPR) framework to incorporate community priorities into study design and implementation. The first phase of C-LEARN is assessment of community priorities, assets, and opportunities for building resilience through key informant interviews and community agency outreach. Findings from this phase will inform the implementation of a two-level (program-level and individual client level) randomized study in up to four South Louisiana communities. Within communities, health and social-community service programs will be randomized to Community Engagement and Planning (CEP) for multi-sector coalition support or Technical Assistance (TA) for individual program support to implement evidence-based and community-prioritized intervention toolkits, including an expanded version of depression collaborative care and resources (referrals, manuals) to address social risk factors such as financial or housing instability and for a community resilience approach to disaster preparedness and response. Within each arm, the study will randomize individual adult clients to one of two mobile applications that provide informational resources on services for depression, social risk factors, and disaster response or also provide psychoeducation on Cognitive Behavioral Therapy to enhance coping with stress and mood. Planned data collection includes baseline, six-month and brief monthly surveys for clients, and baseline and 12-month surveys for administrators and staff.

BackgroundAddressing behavioral health impacts of major disasters is a priority of increasing national attention, but there are limited examples of implementation strategies to guide new disaster responses. We provide a case study of an effort being applied in response to the 2016 Great Flood in Baton Rouge.MethodsResilient Baton Rouge was designed to support recovery after major flooding by building local capacity to implement an expanded model of depression collaborative care for adults, coupled with identifying and responding to local priorities and assets for recovery. For a descriptive, initial evaluation, we coupled analysis of documents and process notes with descriptive surveys of participants in initial training and orientation, including preliminary comparisons among licensed and non-licensed participants to identify training priorities.ResultsWe expanded local behavioral health service delivery capacity through subgrants to four agencies, provision of training tailored to licensed and non-licensed providers and development of advisory councils and partnerships with grassroots and government agencies. We also undertook initial efforts to enhance national collaboration around post-disaster resilience.ConclusionOur partnered processes and lessons learned may be applicable to other communities that aim to promote resilience, as well as planning for and responding to post-disaster behavioral health needs.

Predictive analytics in health is a complex, transdisciplinary field requiring collaboration across diverse scientific and stakeholder groups. Pilot implementation of participatory research to foster team science in predictive analytics through a partnered-symposium and funding competition. In total, 85 stakeholders were engaged across diverse translational domains, with a significant increase in perceived importance of early inclusion of patients and communities in research. Participatory research approaches may be an effective model for engaging broad stakeholders in predictive analytics.

Predictive analytics in health is a complex, transdisciplinary field requiring collaboration across diverse scientific and stakeholder groups. Pilot implementation of participatory research to foster team science in predictive analytics through a partnered-symposium and funding competition. In total, 85 stakeholders were engaged across diverse translational domains, with a significant increase in perceived importance of early inclusion of patients and communities in research. Participatory research approaches may be an effective model for engaging broad stakeholders in predictive analytics.

Addressing behavioral health impacts of major disasters is a priority of increasing national attention, but there are limited examples of implementation strategies to guide new disaster responses. We provide a case study of an effort being applied in response to the 2016 Great Flood in Baton Rouge. Resilient Baton Rouge was designed to support recovery after major flooding by building local capacity to implement an expanded model of depression collaborative care for adults, coupled with identifying and responding to local priorities and assets for recovery. For a descriptive, initial evaluation, we coupled analysis of documents and process notes with descriptive surveys of participants in initial training and orientation, including preliminary comparisons among licensed and non-licensed participants to identify training priorities. We expanded local behavioral health service delivery capacity through subgrants to four agencies, provision of training tailored to licensed and non-licensed providers and development of advisory councils and partnerships with grassroots and government agencies. We also undertook initial efforts to enhance national collaboration around post-disaster resilience. Our partnered processes and lessons learned may be applicable to other communities that aim to promote resilience, as well as planning for and responding to post-disaster behavioral health needs.

BACKGROUND:Black and Latino minorities have traditionally had poorer access to primary care than non-Latino Whites, but these patterns could change with the Affordable Care Act (ACA). To guide post-ACA efforts to address mental health service disparities, we used a nationally representative sample to characterize baseline race-, ethnicity-, and nativity-associated differences in mental health services in the context of primary care. METHODS:Data were obtained from the Medical Expenditures Panel Survey (MEPS), a two-year panel study of healthcare use, satisfaction with care, and costs of services in the United States (US). We pooled data from six waves (14-19) of participants with serious psychological distress to examine racial, ethnic, and nativity disparities in medical and mental health visits to primary care (PC) and specialty mental health (SMH) providers around the time of ACA reforms, 2010-2015. RESULTS:Of the 2747 respondents with serious psychological distress, 1316 were non-Latino White, 632 non-Latino Black, 532 identified as Latino with Mexican, Central American, or South American (MCS) origins, and 267 as Latino with Caribbean island origins; 525 were foreign/island born. All racial/ethnic groups were less likely than non-Latino Whites to have any PC visit. Of those who used PC, non-Latino Blacks were less likely than Whites to have a PC mental health visit, while foreign born MCS Latinos were less likely to visit an SMH provider. Conditional on any mental health visit, Latinos from the Caribbean were more likely than non-Latino Whites to visit SMH providers versus PC providers only, while non-Latino Blacks and US born MCS Latinos received fewer PC mental health visits than non-Latino Whites. CONCLUSION:Racial-, ethnic-, and nativity-associated disparities persist in PC provided mental health services.

This commentary examines the roles that communities and public policies play in the definition and processes of recovery for adults with mental illness. Policy, clinical, and consumer definitions of recovery are reviewed, which highlight the importance of communities and policies for recovery. This commentary then presents a framework for the relationships between community-level factors, policies, and downstream mental health outcomes, focusing on macroeconomic, housing, and health care policies; adverse exposures such as crime victimization; and neighborhood characteristics such as social capital. Initiatives that address community contexts to improve mental health outcomes are currently under way. Common characteristics of such initiatives and select examples are discussed. This commentary concludes with a discussion of providers', consumers', and other stakeholders' roles in shaping policy reform and community change to facilitate recovery.

In 2011, the National Prevention, Health Promotion, and Public Health Council named mental and emotional well-being as 1 of 7 priority areas for the National Prevention Strategy. In this article, we discuss emotional well-being as a scientific concept and its relevance to public health. We review evidence that supports the association between emotional well-being and health. We propose a national emotional well-being initiative and describe its 6 components: systematic measurement of emotional well-being, identification of the drivers of emotional well-being, formation of partnerships with diverse stakeholders, implementation and dissemination of evidence-based interventions to promote emotional well-being and its drivers, development of public health messaging, and identification of and strategies to address disparities in emotional well-being and its drivers. Finally, we discuss ways in which a national emotional well-being initiative would complement current public health efforts and the potential challenges to such an initiative.

Community resilience has grown in importance in national disaster response and recovery efforts. However, measurement of community resilience, particularly the content and quality of relationships aimed at improving resilience, is lacking. To address this gap, we used a social network survey to measure the number, type, and quality of relationships among organizations participating in 16 coalitions brought together to address community resilience in the Los Angeles Community Disaster Resilience project. These coalitions were randomized to one of two approaches (community resilience or preparedness). Resilience coalitions received training and support to develop these partnerships and implement new activities. Both coalition types received expert facilitation by a public health nurse or community educator. We also measured the activities each coalition engaged in and the extent to which partners participated in these activities at two time points. We found that the community resilience coalitions were initially larger and had lower trust among members than the preparedness communities. Over time, these trust differences dissipated. While both coalitions grew, the resilience community coalitions maintained their size difference throughout the project. We also found differences in the types of activities implemented by the resilience communities; these differences were directly related to the trainings provided. This information is useful to organizations seeking guidance on expanding the network of community-based organizations that participate in community resilience activities.

This commentary examines the roles that communities and public policies play in the definition and processes of recovery for adults with mental illness. Policy, clinical, and consumer definitions of recovery are reviewed, which highlight the importance of communities and policies for recovery. This commentary then presents a framework for the relationships between community-level factors, policies, and downstream mental health outcomes, focusing on macroeconomic, housing, and health care policies; adverse exposures such as crime victimization; and neighborhood characteristics such as social capital. Initiatives that address community contexts to improve mental health outcomes are currently under way. Common characteristics of such initiatives and select examples are discussed. This commentary concludes with a discussion of providers', consumers', and other stakeholders' roles in shaping policy reform and community change to facilitate recovery.

ObjectiveCommunity Partners in Care (CPIC) was a group-randomized study of two approaches to implementing expanded collaborative depression care: Community Engagement and Planning (CEP), a coalition approach, and Resources for Services (RS), a technical assistance approach. Collaborative care networks in both arms involved health care and other agencies in five service sectors. This study examined six- and 12-month outcomes for CPIC participants with serious mental illness.MethodsThis secondary analysis focused on low-income CPIC participants from racial-ethnic minority groups with serious mental illness in underresourced Los Angeles communities (N=504). Serious mental illness was defined as self-reported severe depression (≥20 on the Patient Health Questionnaire-8) at baseline or a lifetime history of bipolar disorder or psychosis. Logistic and Poisson regression with multiple imputation and response weights, controlling for covariates, was used to model intervention effects.ResultsAmong CPIC participants, 50% had serious mental illness. Among those with serious mental illness, CEP relative to RS reduced the likelihood of poor mental health-related quality of life (OR=.62, 95% CI=.41-.95) but not depression (primary outcomes); reduced the likelihood of having homelessness risk factors and behavioral health hospitalizations; increased the likelihood of mental wellness; reduced specialty mental health medication and counseling visits; and increased faith-based depression visits (each p

ObjectiveWe describe the rationale, development, and progress on the Community and Patient Partnered Research Network (CPPRN). The CPPRN builds on more than a decade of partnered work and is designed to promote health equity by developing partnered research on behavioral health and social risk factors in Los Angeles and New Orleans.SettingA community-academic partnership across Los Angeles County and New Orleans.MethodsReview of rationale, history, structure, activities and progress in applying community partnered participatory research (CPPR) to CPPRN.FindingsPatient and community stakeholders participated in all phases of development, including local and national activities. Key developments include partnered planning efforts, progress on aggregating a large, de-identified dataset across county agencies, and development of an information technology-supported screening approach for behavioral and social determinants in health care, social, and community-based settings.ConclusionThe CPPRN represents a promising approach for research data networks, balancing the potential benefit of information technology and data analytic approaches while addressing potential risks and priorities of relevant stakeholders.

ObjectiveTo assess the feasibility of a novel, partnered technology development process to co-create mobile health applications (apps) addressing community health priorities, using psychoeducation of cognitive behavioral therapy (CBT) principles for enhancing resilience as an example.DesignStakeholder engagement, workgroups, pilot feasibility study using mixed methods during October 2013 through January 2016 over three phases: 1) defining the vision of the project and increasing technical capacity, 2) co-development and pilot testing of the app, and 3) planning for sustainability.SettingAn academic-community partnership in South Los Angeles, California.ParticipantsEight stakeholders; 30 pilot participants from the community.Main outcome measuresQualitative analysis of audio-recordings of the app development process and stakeholder interviews, surveys of stakeholders' perception of the development process, app use data, and feedback from pilot participants.ResultsThe participatory technology development process resulted in creation and pilot-testing of a resiliency-focused text messaging app. Of the 1,107 messages sent, 23 out of 30 (77%) app users responded to explore interactive content. Stakeholders reported increased perceived competency in creating mobile apps and that the process fostered a culture of co-leadership. There was also sustained engagement in mobile app development by stakeholders beyond the initial project period.ConclusionsThis is the first study, to our knowledge, to demonstrate the feasibility of participatory technology development, an approach involving direct participation in the development, tailoring and maintenance of a mobile app by a broad set of stakeholders with high representation from racial/ethnic minorities from an under-resourced community. Participatory technology development is a promising approach for creating sustainable, relevant and engaging health technologies across different technological, clinical and community settings.

ObjectiveAlthough evidence supports the potential for community coalitions to positively address social determinants of mental health, little is known about the views of stakeholders involved in such efforts. This study sought to understand county leaders' perspectives about social determinants related to the Health Neighborhood Initiative (HNI), a new county effort to support community coalitions.DesignDescriptive, qualitative study, 2014.SettingCommunity coalitions, located in a large urban city, across eight service planning areas, that serve under-resourced, ethnic minority populations.ProceduresWe conducted key informant interviews with 49 health care and community leaders to understand their perspectives about the HNI. As part of a larger project, this study focused on leaders' views about social determinants of health related to the HNI. All interviews were audio-recorded and transcribed. An inductive approach to coding was used, with text segments grouped by social determinant categories.ResultsCounty leaders described multiple social determinants of mental health that were relevant to the HNI community coalitions: housing and safety, community violence, and employment and education. Leaders discussed how social determinants were interconnected with each other and the need for efforts to address multiple social determinants simultaneously to effectively improve mental health.ConclusionsCommunity coalitions have an opportunity to address multiple social determinants of health to meet social and mental health needs of low-resourced communities. Future research should examine how community coalitions, like those in the HNI, can actively engage with community members to identify needs and then deliver evidence-based care.