Search

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.

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

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.

Most persons with fetal alcohol spectrum disorders (FASDs) remain undiagnosed or are diagnosed in later life. To address the need for earlier diagnosis, we previously assessed miRNAs in the blood plasma of pregnant women who were classified as unexposed to alcohol (UE), heavily exposed with affected infants (HEa), or heavily exposed with apparently unaffected infants (HEua). We reported that maternal miRNAs predicted FASD-related growth and psychomotor deficits in infants. Here, we assessed whether fetal sex influenced alterations in maternal circulating miRNAs following prenatal alcohol exposure (PAE). To overcome the loss of statistical power due to disaggregating maternal samples by fetal sex, we adapted a strategy of iterative bootstrap resampling with replacement to assess the stability of statistical parameter estimates. Bootstrap estimates of parametric and effect size tests identified male and female fetal sex-associated maternal miRNA responses to PAE that were not observed in the aggregated sample. Additionally, we observed, in HEa mothers of female, but not male fetuses, a network of co-secreted miRNAs whose expression was linked to miRNAs encoded on the X-chromosome. Interestingly, the number of significant miRNA correlations for the HEua group mothers with female fetuses was intermediate between HEa and UE mothers at mid-pregnancy, but more similar to UE mothers by the end of pregnancy. Collectively, these data show that fetal sex predicts maternal circulating miRNA adaptations, a critical consideration when adopting maternal miRNAs as diagnostic biomarkers. Moreover, a maternal co-secretion network, predominantly in pregnancies with female fetuses, emerged as an index of risk for adverse birth outcomes due to PAE.

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).

Most persons with fetal alcohol spectrum disorders (FASDs) remain undiagnosed or are diagnosed in later life. To address the need for earlier diagnosis, we previously assessed miRNAs in the blood plasma of pregnant women who were classified as unexposed to alcohol (UE), heavily exposed with affected infants (HEa), or heavily exposed with apparently unaffected infants (HEua). We reported that maternal miRNAs predicted FASD-related growth and psychomotor deficits in infants. Here, we assessed whether fetal sex influenced alterations in maternal circulating miRNAs following prenatal alcohol exposure (PAE). To overcome the loss of statistical power due to disaggregating maternal samples by fetal sex, we adapted a strategy of iterative bootstrap resampling with replacement to assess the stability of statistical parameter estimates. Bootstrap estimates of parametric and effect size tests identified male and female fetal sex-associated maternal miRNA responses to PAE that were not observed in the aggregated sample. Additionally, we observed, in HEa mothers of female, but not male fetuses, a network of co-secreted miRNAs whose expression was linked to miRNAs encoded on the X-chromosome. Interestingly, the number of significant miRNA correlations for the HEua group mothers with female fetuses was intermediate between HEa and UE mothers at mid-pregnancy, but more similar to UE mothers by the end of pregnancy. Collectively, these data show that fetal sex predicts maternal circulating miRNA adaptations, a critical consideration when adopting maternal miRNAs as diagnostic biomarkers. Moreover, a maternal co-secretion network, predominantly in pregnancies with female fetuses, emerged as an index of risk for adverse birth outcomes due to PAE.

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

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).

Prenatal alcohol exposure (PAE), like other pregnancy complications, can result in placental insufficiency and fetal growth restriction, although the linking causal mechanisms are unclear. We previously identified 11 gestationally elevated maternal circulating miRNAs (HEamiRNAs) that predicted infant growth deficits following PAE. Here, we investigated whether these HEamiRNAs contribute to the pathology of PAE, by inhibiting trophoblast epithelial-mesenchymal transition (EMT), a pathway critical for placental development. We now report for the first time that PAE inhibits expression of placental pro-EMT pathway members in both rodents and primates, and that HEamiRNAs collectively, but not individually, mediate placental EMT inhibition. HEamiRNAs collectively, but not individually, also inhibited cell proliferation and the EMT pathway in cultured trophoblasts, while inducing cell stress, and following trophoblast syncytialization, aberrant endocrine maturation. Moreover, a single intravascular administration of the pooled murine-expressed HEamiRNAs, to pregnant mice, decreased placental and fetal growth and inhibited the expression of pro-EMT transcripts in the placenta. Our data suggest that HEamiRNAs collectively interfere with placental development, contributing to the pathology of PAE, and perhaps also, to other causes of fetal growth restriction.

Prenatal alcohol exposure (PAE), like other pregnancy complications, can result in placental insufficiency and fetal growth restriction, although the linking causal mechanisms are unclear. We previously identified 11 gestationally elevated maternal circulating miRNAs (HEamiRNAs) that predicted infant growth deficits following PAE. Here, we investigated whether these HEamiRNAs contribute to the pathology of PAE, by inhibiting trophoblast epithelial-mesenchymal transition (EMT), a pathway critical for placental development. We now report for the first time that PAE inhibits expression of placental pro-EMT pathway members in both rodents and primates, and that HEamiRNAs collectively, but not individually, mediate placental EMT inhibition. HEamiRNAs collectively, but not individually, also inhibited cell proliferation and the EMT pathway in cultured trophoblasts, while inducing cell stress, and following trophoblast syncytialization, aberrant endocrine maturation. Moreover, a single intravascular administration of the pooled murine-expressed HEamiRNAs, to pregnant mice, decreased placental and fetal growth and inhibited the expression of pro-EMT transcripts in the placenta. Our data suggest that HEamiRNAs collectively interfere with placental development, contributing to the pathology of PAE, and perhaps also, to other causes of fetal growth restriction.

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.

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.

ObjectiveTo compare community engagement and planning (CEP) for coalition support to implement depression quality improvement (QI) to resources for services (RS) effects on service-use costs over a 12-month period.DesignMatched health and community programs (N=93) were cluster-randomized within communities to CEP or RS.SettingTwo Los Angeles communities.ParticipantsAdults (N=1,013) with depressive symptoms (Patient Health Questionnaire (PHQ-8) ≥10); 85% African American and Latino.InterventionsCEP and RS to support programs in depression QI.Main outcome measuresIntervention training and service-use costs over 12 months.ResultsCEP planning and training costs were almost 3 times higher than RS, largely due to greater CEP provider training participation vs RS, with no significant differences in 12-month service-use costs.ConclusionsCompared with RS, CEP had higher planning and training costs with similar service-use costs.

ObjectiveTo understand potential for multi-sector partnerships among community-based organizations and publicly funded health systems to implement health improvement strategies that advance health equity.DesignKey stakeholder interviewing during HNI planning and early implementation to elicit perceptions of multi-sector partnerships and innovations required for partnerships to achieve system transformation and health equity.SettingIn 2014, the Los Angeles County (LAC) Board of Supervisors approved the Health Neighborhood Initiative (HNI) that aims to: 1) improve coordination of health services for behavioral health clients across safety-net providers within neighborhoods; and 2) address social determinants of health through community-driven, public agency sponsored partnerships with community-based organizations.ParticipantsTwenty-five semi-structured interviews with 49 leaders from LAC health systems, community-based organizations; and payers.ResultsLeaders perceived partnerships within and beyond health systems as transformative in their potential to: improve access, value, and efficiency; align priorities of safety-net systems and communities; and harness the power of communities to impact health. Leaders identified trust as critical to success in partnerships but named lack of time for relationship-building, limitations in service capacity, and questions about sustainability as barriers to trust-building. Leaders described the need for procedural innovations within health systems that would support equitable partnerships including innovations that would increase transparency and normalize information exchange, share agenda-setting and decision-making power with partners, and institutionalize partnering through training and accountability.ConclusionsLeaders described improving procedural justice in public agencies' relationships with communities as key to effective partnering for health equity.

SignificancePrior research suggests that Community Engagement and Planning (CEP) for coalition support compared with Resources for Services (RS) for program technical assistance to implement depression quality improvement programs improves 6- and 12-month client mental-health related quality of life (MHRQL); however, effects for clients with multiple chronic medical conditions (MCC) are unknown.ObjectiveTo explore effectiveness of CEP vs RS in MCC and non-MCC subgroups.DesignSecondary analyses of a cluster-randomized trial.Setting93 health care and community-based programs in two neighborhoods.ParticipantsOf 4,440 clients screened, 1,322 depressed (Patient Health Questionnaire, PHQ8) provided contact information, 1,246 enrolled and 1,018 (548 with ≥3 MCC) completed baseline, 6- or 12-month surveys.InterventionCEP or RS for implementing depression quality improvement programs.Outcomes and analysesPrimary: depression (PHQ9

ObjectiveWith internal validity being a central goal of designed experiments, we seek to elucidate how community partnered participatory research (CPPR) impacts the internal validity of public health comparative-effectiveness research.MethodsCommunity Partners in Care (CPIC), a study comparing a community-coalition intervention to direct technical assistance for disseminating depression care to vulnerable populations, is used to illustrate design choices developed with attention to core CPPR principles. The study-design process is reviewed retrospectively and evaluated based on the resulting covariate balance across intervention arms and on broader peer-review assessments. Contributions of the CPIC Council and the study's design committee are highlighted.ResultsCPPR principles contributed to building consensus around the use of randomization, creating a sampling frame, specifying geographic boundaries delimiting the scope of the investigation, grouping similar programs into pairs or other small blocks of units, collaboratively choosing random-number-generator seeds to determine randomized intervention assignments, and addressing logistical constraints in field operations. Study protocols yielded samples that were well-balanced on background characteristics across intervention arms. CPIC has been recognized for scientific merit, has drawn attention from policymakers, and has fueled ongoing research collaborations.ConclusionsCreative and collaborative fulfillment of CPPR principles reinforced the internal validity of CPIC, strengthening the study's scientific rigor by engaging complementary areas of knowledge and expertise among members of the investigative team.

ObjectiveDepressed individuals may require help from different agencies to address health and social needs, but how such coordination occurs in under-resourced communities is poorly understood. This study sought to identify priorities of Latino and African American depressed clients, explore whether service providers understand client priorities, and describe how providers address them.MethodsBetween October 2014 and February 2015, we interviewed 104 clients stratified by depression history and 50 representatives of different programs in health and social community agencies who participated in Community Partners in Care, a cluster-randomized trial of coalition-building approaches to delivering depression quality improvement programs. Clients were queried about their most pressing needs; program representatives identified their clients' needs and explained how they addressed them.ResultsPhysical and mental health were clients' top priorities, followed by housing, caring for and building relationships with others, and employment. While persistently depressed clients prioritized mental health, those with improved depression prioritized relationships with others. Program representatives identified housing, employment, mental health, and improving relationships with others as clients' top priorities. Needs assessment, client-centered services, and linkages to other agencies were main strategies used to address client needs.ConclusionDepressed clients have multiple health and social needs, and program representatives in under-resourced communities understand the complexity of clients' needs. Agencies rely on needs assessment and referrals to meet their clients' needs, which enhances the importance of agency partnership in "whole person" initiatives. Our results illustrate agency capacity to adopt integrated care models that will address clients' multiple needs through multi-sector collaboration and describe potential strategies to help reach the goal of whole person care.

ObjectiveThe New York City's Thrive (ThriveNYC) and the Los Angeles County Health Neighborhood Initiative (HNI) are two local policies focused on addressing the social determinants of behavioral health as a preventive strategy for improving health service delivery. On January 29, 2016, leaders from both initiatives came together with a range of federal agencies in health care, public health, and policy research at the RAND Corporation in Arlington, Virginia. The goal of this advisory meeting was to share lessons learned, consider research and evaluation strategies, and create a dialogue between stakeholders and federal funders - all with the purpose to build momentum for policy innovation in behavioral health equity.MethodsThis article analyzes ethnographic notes taken during the meeting and in-depth interviews of 14 meeting participants through Kingdon's multiple streams theory of policy change.ResultsResults demonstrated that stakeholders shared a vision for behavioral health policy innovation focused on community engagement and social determinants of health. In addition, Kingdon's model highlighted that the problem, policy and politics streams needed to form a window of opportunity for policy change were coupled, enabling the possibility for behavioral health policy innovation.ConclusionsThe advisory meeting suggested that local policy makers, academics, and community members, together with federal agents, are working to implement behavioral health policy innovation.

ObjectiveCommunity Partners in Care, a community-partnered, cluster-randomized trial with depressed clients from 95 Los Angeles health and community programs, examined the added value of a community coalition approach (Community Engagement and Planning [CEP]) versus individual program technical assistance (Resources for Services [RS]) to implement depression collaborative care in underserved communities. This exploratory subanalysis examines 6- and 12-month outcomes among CPIC participants aged >50 years.DesignCommunity-partnered, cluster-randomized trial conducted between April 2010 and March 2012.SettingHollywood-Metropolitan (HM) and South Los Angeles (SLA) Service Planning Areas (SPAs), Los Angeles, California.Participants394 participants aged >50 years with depressive symptoms (8-item Patient Health Questionnaire score ≥ 10).InterventionA community-partnered multi-sector coalition approach (Community Engagement and Planning [CEP]) vs individual program technical assistance (Resources for Services [RS]) to implement depression collaborative care.Main outcome measuresDepressive symptoms (PHQ-8 score), mental health-related quality of life (MHRQL), community-prioritized outcomes including mental wellness, homelessness risk and physical activity, and services utilization.ResultsAt 6 months, CEP was more effective than RS at improving MHRQL and mental wellness among participants aged >50 years; no differences were found in the effects of CEP vs RS on other outcomes. No significant outcome differences between CEP and RS were found at 12 months.ConclusionsA multisector community coalition approach may offer additional benefits over individual program technical assistance to improve outcomes among depressed adults aged >50 years living in underserved communities.

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.

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.

BackgroundBlack 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.MethodsData 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.ResultsOf 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.ConclusionRacial-, ethnic-, and nativity-associated disparities persist in PC provided mental health services.

Community resilience is a key concept in the National Health Security Strategy that emphasizes development of multi-sector partnerships and equity through community engagement. Here, we describe the advancement of CR principles through community participatory methods in the Los Angeles County Community Disaster Resilience (LACCDR) initiative. LACCDR, an initiative led by the Los Angeles County Department of Public Health with academic partners, randomized 16 community coalitions to implement either an Enhanced Standard Preparedness or Community Resilience approach over 24 months. Facilitated by a public health nurse or community educator, coalitions comprised government agencies, community-focused organizations and community members. We used thematic analysis of data from focus groups (n = 5) and interviews (n = 6 coalition members; n = 16 facilitators) to compare coalitions' strategies for operationalizing community resilience levers of change (engagement, partnership, self-sufficiency, education). We find that strategies that included bidirectional learning helped coalitions understand and adopt resilience principles. Strategies that operationalized community resilience levers in mutually reinforcing ways (e.g., disseminating information while strengthening partnerships) also secured commitment to resilience principles. We review additional challenges and successes in achieving cross-sector collaboration and engaging at-risk groups in the resilience versus preparedness coalitions. The LACCDR example can inform strategies for uptake and implementation of community resilience and uptake of the resilience concept and methods.

Community resilience is a key concept in the National Health Security Strategy that emphasizes development of multi-sector partnerships and equity through community engagement. Here, we describe the advancement of CR principles through community participatory methods in the Los Angeles County Community Disaster Resilience (LACCDR) initiative. LACCDR, an initiative led by the Los Angeles County Department of Public Health with academic partners, randomized 16 community coalitions to implement either an Enhanced Standard Preparedness or Community Resilience approach over 24 months. Facilitated by a public health nurse or community educator, coalitions comprised government agencies, community-focused organizations and community members. We used thematic analysis of data from focus groups (n = 5) and interviews (n = 6 coalition members; n = 16 facilitators) to compare coalitions' strategies for operationalizing community resilience levers of change (engagement, partnership, self-sufficiency, education). We find that strategies that included bidirectional learning helped coalitions understand and adopt resilience principles. Strategies that operationalized community resilience levers in mutually reinforcing ways (e.g., disseminating information while strengthening partnerships) also secured commitment to resilience principles. We review additional challenges and successes in achieving cross-sector collaboration and engaging at-risk groups in the resilience versus preparedness coalitions. The LACCDR example can inform strategies for uptake and implementation of community resilience and uptake of the resilience concept and methods.

ObjectiveThe federal Mental Health Parity and Addiction Equity Act (MHPAEA) sought to eliminate historical disparities between insurance coverage for behavioral health (BH) treatment and coverage for medical treatment. Our objective was to evaluate MHPAEA's impact on BH expenditures and utilization among "carve-in" enrollees.MethodsWe received specialty BH insurance claims and eligibility data from Optum, sampling 5,987,776 adults enrolled in self-insured plans from large employers. An interrupted time series study design with segmented regression analysis estimated monthly time trends of per-member spending and use before (2008-2009), during (2010), and after (2011-2013) MHPAEA compliance (N=179,506,951 member-month observations). Outcomes included: total, plan, patient out-of-pocket spending; outpatient utilization (assessment/diagnostic evaluation visits, medication management, individual and family psychotherapy); intermediate care utilization (structured outpatient, day treatment, residential); and inpatient utilization.ResultsMHPAEA was associated with increases in monthly per-member total spending, plan spending, assessment/diagnostic evaluation visits [respective immediate increases of: $1.05 (P=0.02); $0.88 (P=0.04); 0.00045 visits (P=0.00)], and individual psychotherapy visits [immediate increase of 0.00578 visits (P=0.00) and additional increases of 0.00017 visits/mo (P=0.03)].ConclusionsMHPAEA was associated with modest increases in total and plan spending and outpatient utilization; for example, in July 2012 predicted per-enrollee plan spending was $4.92 without MHPAEA and $6.14 with MHPAEA. Efforts should focus on understanding how other barriers to BH care unaddressed by MHPAEA may affect access/utilization. Future research should evaluate effects produced by the Affordable Care Act's inclusion of BH care as an essential health benefit and expansion of MHPAEA protections to the individual and small group markets.

ObjectiveThe federal Mental Health Parity and Addiction Equity Act (MHPAEA) sought to eliminate historical disparities between insurance coverage for behavioral health (BH) treatment and coverage for medical treatment. Our objective was to evaluate MHPAEA's impact on BH expenditures and utilization among "carve-in" enrollees.MethodsWe received specialty BH insurance claims and eligibility data from Optum, sampling 5,987,776 adults enrolled in self-insured plans from large employers. An interrupted time series study design with segmented regression analysis estimated monthly time trends of per-member spending and use before (2008-2009), during (2010), and after (2011-2013) MHPAEA compliance (N=179,506,951 member-month observations). Outcomes included: total, plan, patient out-of-pocket spending; outpatient utilization (assessment/diagnostic evaluation visits, medication management, individual and family psychotherapy); intermediate care utilization (structured outpatient, day treatment, residential); and inpatient utilization.ResultsMHPAEA was associated with increases in monthly per-member total spending, plan spending, assessment/diagnostic evaluation visits [respective immediate increases of: $1.05 (P=0.02); $0.88 (P=0.04); 0.00045 visits (P=0.00)], and individual psychotherapy visits [immediate increase of 0.00578 visits (P=0.00) and additional increases of 0.00017 visits/mo (P=0.03)].ConclusionsMHPAEA was associated with modest increases in total and plan spending and outpatient utilization; for example, in July 2012 predicted per-enrollee plan spending was $4.92 without MHPAEA and $6.14 with MHPAEA. Efforts should focus on understanding how other barriers to BH care unaddressed by MHPAEA may affect access/utilization. Future research should evaluate effects produced by the Affordable Care Act's inclusion of BH care as an essential health benefit and expansion of MHPAEA protections to the individual and small group markets.

Interrupted time series with and without controls was used to evaluate whether the federal Mental Health Parity and Addiction Equity Act (MHPAEA) and its Interim Final Rule increased the probability of specialty behavioral health treatment and levels of utilization and expenditures among patients receiving treatment. Linked insurance claims, eligibility, plan and employer data from 2008 to 2013 were used to estimate segmented regression analyses, allowing for level and slope changes during the transition (2010) and post-MHPAEA (2011-2013) periods. The sample included 1,812,541 individuals ages 27-64 (49,968,367 person-months) in 10,010 Optum "carve-out" plans. Two-part regression models with Generalized Estimating Equations were used to estimate expenditures by payer and outpatient, intermediate and inpatient service use. We found little evidence that MHPAEA increased utilization significantly, but somewhat more robust evidence that costs shifted from patients to plans. Thus the primary impact of MHPAEA among carve-out enrollees may have been a reduction in patient financial burden.

Interrupted time series with and without controls was used to evaluate whether the federal Mental Health Parity and Addiction Equity Act (MHPAEA) and its Interim Final Rule increased the probability of specialty behavioral health treatment and levels of utilization and expenditures among patients receiving treatment. Linked insurance claims, eligibility, plan and employer data from 2008 to 2013 were used to estimate segmented regression analyses, allowing for level and slope changes during the transition (2010) and post-MHPAEA (2011-2013) periods. The sample included 1,812,541 individuals ages 27-64 (49,968,367 person-months) in 10,010 Optum "carve-out" plans. Two-part regression models with Generalized Estimating Equations were used to estimate expenditures by payer and outpatient, intermediate and inpatient service use. We found little evidence that MHPAEA increased utilization significantly, but somewhat more robust evidence that costs shifted from patients to plans. Thus the primary impact of MHPAEA among carve-out enrollees may have been a reduction in patient financial burden.