Prevalence of depression and associated symptoms among patients attending primary healthcare facilities: a cross-sectional study in Nepal.

BACKGROUND: Depression is a prevalent mental health condition worldwide but there is limited data on its presentation and associated symptoms in primary care settings in low- and middle-income countries like Nepal. This study aims to assess the prevalence of depression, its hallmark and other associated symptoms that meet the Diagnostic and Statistical Manual (DSM-5) criteria in primary healthcare facilities in Nepal. The collected information will be used to determine the content of a mobile app-based clinical guidelines for better detection and management of depression in primary care. METHODS: A total of 1,897 adult patients aged 18-91 (63.1% women) attending ten primary healthcare facilities in Jhapa, a district in eastern Nepal, were recruited for the study between August 2, 2021, and March 25, 2022. Trained research assistants conducted face-to-face interviews in private spaces before the consultation with healthcare providers. Depression symptoms, including hallmark symptoms, was assessed using the validated Nepali version of the Patient Health Questionnaire (PHQ-9). RESULTS: One in seven (14.5%) individuals attending primary health care facilities in Jhapa met the threshold for depression based on a validated cut-off score ( > = 10) on the PHQ-9. The most commonly reported depressive symptoms were loss of energy and sleep difficulties. Approximately 25.4% of women and 18.9% of men endorsed at least one of the two hallmark symptoms on the PHQ-9. Using a DSM-5 algorithm (at least one hallmark symptom and five or more total symptoms) to score the PHQ-9, 6.3% of women and 4.3% of men met the criteria for depression. The intra-class correlation coefficient for PHQ-9 total scores by health facility as the unit of clustering was 0.01 (95% confidence interval, 0.00-0.04). CONCLUSION: Depression symptoms are common among people attending primary healthcare facilities in Nepal. However, the most common symptoms are not the two hallmark criteria. Use of total scores on a screening tool such as the PHQ-9 risks overestimating the prevalence and generating false positive diagnoses. Compared to using cut off scores on screening tools, training health workers to first screen for hallmark criteria may increase the accuracy of identification and lead to better allocation of treatment resources.

Systematic Review and Meta-Synthesis: How Is Depression Experienced by Adolescents? A Synthesis of the Qualitative Literature.

OBJECTIVE: To systematically investigate how youth with lived experience report their experience of depression in terms of features of depression and in relation to themselves and their environment. METHOD: We conducted a systematic review of qualitative research around the world that explored the subjective experience of depression among youth (age range, 10-24 years) who had self-reported, screened positive for, or received a formal diagnosis of the disorder. We used multiple databases to search for relevant studies published in any language up until March 2023. Studies were coded regarding features of depression reported by adolescents. We also used thematic synthesis to extract and synthesize descriptions of the lived experience of depression, and to develop analytic themes. The study was registered with PROSPERO, CRD42021218300. RESULTS: We identified a total of 23,424 unique records, and included 39 studies in the final review, representing the views of 884 adolescents with lived experience of depression. Most of the studies were conducted in high-income countries (72.8%), and the majority of participants were female (65%). The most frequently reported features of depression were sadness (present in 92.3% of the studies), social withdrawal (76.9%), and loneliness (69.2%). In addition, we constructed 3 themes that aimed to synthesize youths' accounts of their perceptions and experiences of depression: (1) making sense; (2) factoring in culture and contextual influences; and (3) accessing support and care. CONCLUSION: Some of the more commonly reported features of depression among youth are not explicitly included in the DSM/ICD diagnostic criteria but are highly relevant and closely connected to the experiences of adolescents. Moreover, contextual interpretations of depression may be more sensitive to capture representations and narratives of depression among youth. Thus, incorporating features of depression reported by adolescents could potentially increase accuracy of detection, promote collaborative work, and enhance therapeutic and care outcomes. STUDY PREREGISTRATION INFORMATION: The lived experience of depression in adolescence: a systematic review of the qualitative literature; https://www.crd.york.ac.uk/prospero/; CRD42021218300.

A Case Study of the Development of a Valid and Pragmatic Implementation Science Measure: The Barriers and Facilitators in Implementation of Task-Sharing Mental Health Interventions (BeFITS-MH) Measure.

Background: Few implementation science (IS) measures have been evaluated for validity, reliability and utility - the latter referring to whether a measure captures meaningful aspects of implementation contexts. In this case study, we describe the process of developing an IS measure that aims to assess Barriers and Facilitators in Implementation of Task-Sharing in Mental Health services (BeFITS-MH), and the procedures we implemented to enhance its utility. Methods: We summarize conceptual and empirical work that informed the development of the BeFITS-MH measure, including a description of the Delphi process, detailed translation and local adaptation procedures, and concurrent pilot testing. As validity and reliability are key aspects of measure development, we also report on our process of assessing the measure's construct validity and utility for the implementation outcomes of acceptability, appropriateness, and feasibility. Results: Continuous stakeholder involvement and concurrent pilot testing resulted in several adaptations of the BeFITS-MH measure's structure, scaling, and format to enhance contextual relevance and utility. Adaptations of broad terms such as "program," "provider type," and "type of service" were necessary due to the heterogeneous nature of interventions, type of task-sharing providers employed, and clients served across the three global sites. Item selection benefited from the iterative process, enabling identification of relevance of key aspects of identified barriers and facilitators, and what aspects were common across sites. Program implementers' conceptions of utility regarding the measure's acceptability, appropriateness, and feasibility were seen to cluster across several common categories. Conclusions: This case study provides a rigorous, multi-step process for developing a pragmatic IS measure. The process and lessons learned will aid in the teaching, practice and research of IS measurement development. The importance of including experiences and knowledge from different types of stakeholders in different global settings was reinforced and resulted in a more globally useful measure while allowing for locally-relevant adaptation. To increase the relevance of the measure it is important to target actionable domains that predict markers of utility (e.g., successful uptake) per program implementers' preferences. With this case study, we provide a detailed roadmap for others seeking to develop and validate IS measures that maximize local utility and impact.

Strengthening self-regulation and reducing poverty to prevent adolescent depression and anxiety: Rationale, approach and methods of the ALIVE interdisciplinary research collaboration in Colombia, Nepal and South Africa.

AIMS: Depression and anxiety are the leading contributors to the global burden of disease among young people, accounting for over a third (34.8%) of years lived with disability. Yet there is limited evidence for interventions that prevent adolescent depression and anxiety in low- and middle-income countries (LMICs), where 90% of adolescents live. This article introduces the 'Improving Adolescent mentaL health by reducing the Impact of poVErty (ALIVE)' study, its conceptual framework, objectives, methods and expected outcomes. The aim of the ALIVE study is to develop and pilot-test an intervention that combines poverty reduction with strengthening self-regulation to prevent depression and anxiety among adolescents living in urban poverty in Colombia, Nepal and South Africa. METHODS: This aim will be achieved by addressing four objectives: (1) develop a conceptual framework that identifies the causal mechanisms linking poverty, self-regulation and depression and anxiety; (2) develop a multi-component selective prevention intervention targeting self-regulation and poverty among adolescents at high risk of developing depression or anxiety; (3) adapt and validate instruments to measure incidence of depression and anxiety, mediators and implementation parameters of the prevention intervention; and (4) undertake a four-arm pilot cluster randomised controlled trial to assess the feasibility, acceptability and cost of the selective prevention intervention in the three study sites. RESULTS: The contributions of this study include the active engagement and participation of adolescents in the research process; a focus on the causal mechanisms of the intervention; building an evidence base for prevention interventions in LMICs; and the use of an interdisciplinary approach. CONCLUSIONS: By developing and evaluating an intervention that addresses multidimensional poverty and self-regulation, ALIVE can make contributions to evidence on the integration of mental health into broader development policy and practice.

Experience of primary healthcare workers in using the mobile app-based WHO mhGAP intervention guide in detection and treatment of people with mental disorders: A qualitative study in Nepal.

This study assessed perception and experience of trained primary health care workers in using a mobile app-based version of the WHO mental health gap action programme (mhGAP) Intervention Guide in the assessment and management of people with mental health conditions in primary care in Nepal. A qualitative study was conducted with primary healthcare workers who were trained in using the WHO mhGAP mobile application in Jhapa, a district in eastern Nepal. Semi-structured interviews were carried out with 15 healthcare workers (3 females and 12 males) nine months after the training. Interviews were audio recorded, transcribed and translated into English for the thematic qualitative data analysis. Health care workers (HCWs) found the mobile app helpful to verify and confirm their assessment and diagnosis. The other benefits reported by the participants were: bringing uniformity in diagnosis and management of mental health conditions across primary healthcare facilities; reminding the HCWs specific assessment questions; creating awareness on the importance of psychosocial intervention; improving the interaction between patients and service providers; and the importance of follow-up care. Despite these advantages, lack of clarity about report submission modality; lack of electricity or internet connectivity; and low technology literacy among older HCWs were some of the barriers in using the app. The major recommendation made by the HCWs for the guide included revision of the assessment process and system; inclusion of a chat function with supervisors; minimizing the amount of patients' data to be collected in the app; and addition of conversion and anxiety disorders to the app. This study concludes that the mobile decision support application could be acceptable and feasible in primary care settings if the suggested modifications are incorporated, in addition to addressing other systemic issues facing the primary care-based delivery of mental health services.

Global health reciprocal innovation to address mental health and well-being: strategies used and lessons learnt.

Over the past two decades there have been major advances in the development of interventions promoting mental health and well-being in low- and middle-income countries (LMIC), including delivery of care by non-specialist providers, incorporation of mobile technologies and development of multilevel community-based interventions. Growing inequities in mental health have led to calls to adopt similar strategies in high-income countries (HIC), learning from LMIC. To overcome shared challenges, it is crucial for projects implementing these strategies in different global settings to learn from one another. Our objective was to examine cases in which mental health and well-being interventions originating in or conceived for LMIC were implemented in the USA. The cases included delivery of psychological interventions by non-specialists, HIV-related stigma reduction programmes, substance use mitigation strategies and interventions to promote parenting skills and family functioning. We summarise commonly used strategies, barriers, benefits and lessons learnt for the transfer of these innovative practices among LMIC and HIC. Common strategies included intervention delivery by non-specialists and use of digital modalities to facilitate training and increase reach. Common barriers included lack of reimbursement mechanisms for care delivered by non-specialists and resistance from professional societies. Despite US investigators' involvement in most of the original research in LMIC, only a few cases directly involved LMIC researchers in US implementation. In order to achieve greater equity in global mental health and well-being, more efforts and targeted funding are needed to develop best practices for global health reciprocal innovation and iterative learning in HIC and LMIC.

Perinatal depression and implementation of the "Thinking Healthy program" support intervention in an impoverished setting of Lima, Peru: Assessment before and during the COVID-19 pandemic.

Socios En Salud (SES) implemented the Thinking Healthy program (THP) to support women with perinatal depression before and during the COVID-19 pandemic in Lima Norte. We carried out an analysis of the in-person (5 modules) and remote (1 module) THP intervention. Depression was detected using PHQ-9, and THP sessions were delivered in women with a score (PHQ-9 ≥ 5). Depression was reassessed and pre- and post-scores were compared. In the pre-pandemic cohort, perinatal depression was 25.4% (47/185), 47 women received THP and 27 were reassessed (57.4%), and the PHQ-9 score median decreased from 8 to 2, p < 0.001. In the pandemic cohort, perinatal depression was 47.5% (117/247), 117 women received THP and 89 were reassessed (76.1%), and the PHQ-9 score median decreased from 7 to 2, p < 0.001. THP's modalities helped to reduce perinatal depression. Pregnant women who received a module remotely also reduced depression.

A mixed methods evaluation of a World Health Organization competency-based training package for foundational helping skills among pre-service and in-service health workers in Nepal, Peru and Uganda.

Health systems globally demand more competent workers but lack competency-based training programs to reach their goals. This study evaluates the effectiveness of a competency-based curriculum (EQUIP-FHS) for trainers and supervisors to teach foundational helping knowledge, attitudes and skills, guided by the WHO/UNICEF EQUIP platform, to improve the competency of in-service and pre-service workers from various health and other service sectors. A mixed-methods, uncontrolled before-and-after trial was conducted in Nepal, Peru, and Uganda from 2020 to 2021. Trainees' (N = 150) competency data were collected during 13 FHS trainings. Paired t-tests assessed pre- to post-change in ENACT competency measures (e.g., harmful, helpful). Qualitative data was analyzed using thematic analysis. EQUIP-FHS trainings, on average, were 20 h in duration. Harmful behaviors significantly decreased, and helpful behaviors significantly increased, across and within sites from pre-to post-training. Qualitatively, trainees and trainers promoted the training and highlighted difficult competencies and areas for scaling the training. A brief competency-based curriculum on foundational helping delivered through pre-service or in-service training can reduce the risk that healthcare workers and other service providers display harmful behaviors. We recommend governmental and nongovernmental organizations implement competency-based approaches to enhance the quality of their existing workforce programming and be one step closer to achieving the goal of quality healthcare around the globe.

Transforming mental healthcare in higher education through scalable mental health interventions.

A significant number of young people throughout the world are experiencing mental health concerns. Many young people will develop their first mental health concerns or will be managing their symptoms while enrolled in institutions of higher education. Although many colleges and universities are aware of the significant mental health needs among their students, the mental health and psychosocial needs of students often exceed the availability of resources and cultural and contextual barriers, such as stigma, may further impede access to care. Such gaps and barriers in mental health may lead to poor prognosis as well as negative educational and social outcomes. We propose that non-specialist delivered mental health and psychosocial interventions may play a critical role in reducing the gaps in care for students in higher education. In particular, non-specialist delivered care can complement existing specialized services to provide stepped models of care. Importantly, the adaptation and implementation of non-specialist delivered mental health and psychosocial support interventions in higher education may lead to innovative strategies for increasing access to care in this context, but may lead to adaptations that could apply to contexts outside of higher education as well.

Assessing Mood With the Identifying Depression Early in Adolescence Chatbot (IDEABot): Development and Implementation Study.

BACKGROUND: Mental health status assessment is mostly limited to clinical or research settings, but recent technological advances provide new opportunities for measurement using more ecological approaches. Leveraging apps already in use by individuals on their smartphones, such as chatbots, could be a useful approach to capture subjective reports of mood in the moment. OBJECTIVE: This study aimed to describe the development and implementation of the Identifying Depression Early in Adolescence Chatbot (IDEABot), a WhatsApp-based tool designed for collecting intensive longitudinal data on adolescents' mood. METHODS: The IDEABot was developed to collect data from Brazilian adolescents via WhatsApp as part of the Identifying Depression Early in Adolescence Risk Stratified Cohort (IDEA-RiSCo) study. It supports the administration and collection of self-reported structured items or questionnaires and audio responses. The development explored WhatsApp's default features, such as emojis and recorded audio messages, and focused on scripting relevant and acceptable conversations. The IDEABot supports 5 types of interactions: textual and audio questions, administration of a version of the Short Mood and Feelings Questionnaire, unprompted interactions, and a snooze function. Six adolescents (n=4, 67% male participants and n=2, 33% female participants) aged 16 to 18 years tested the initial version of the IDEABot and were engaged to codevelop the final version of the app. The IDEABot was subsequently used for data collection in the second- and third-year follow-ups of the IDEA-RiSCo study. RESULTS: The adolescents assessed the initial version of the IDEABot as enjoyable and made suggestions for improvements that were subsequently implemented. The IDEABot's final version follows a structured script with the choice of answer based on exact text matches throughout 15 days. The implementation of the IDEABot in 2 waves of the IDEA-RiSCo sample (140 and 132 eligible adolescents in the second- and third-year follow-ups, respectively) evidenced adequate engagement indicators, with good acceptance for using the tool (113/140, 80.7% and 122/132, 92.4% for second- and third-year follow-up use, respectively), low attrition (only 1/113, 0.9% and 1/122, 0.8%, respectively, failed to engage in the protocol after initial interaction), and high compliance in terms of the proportion of responses in relation to the total number of elicited prompts (12.8, SD 3.5; 91% out of 14 possible interactions and 10.57, SD 3.4; 76% out of 14 possible interactions, respectively). CONCLUSIONS: The IDEABot is a frugal app that leverages an existing app already in daily use by our target population. It follows a simple rule-based approach that can be easily tested and implemented in diverse settings and possibly diminishes the burden of intensive data collection for participants by repurposing WhatsApp. In this context, the IDEABot appears as an acceptable and potentially scalable tool for gathering momentary information that can enhance our understanding of mood fluctuations and development.

A magnetic resonance imaging-based morphometric and structural covariance network study of Brazilian adolescents stratified by depression risk

Objectives: To explore differences in regional cortical morphometric structure between adolescents at risk for depression or with current depression. Methods: We analyzed cross-sectional structural neuroimaging data from a sample of 150 Brazilian adolescents classified as low-risk (LR) (n=50) or high-risk (HR) for depression (n=50) or with current depression (n=50) through a vertex-based approach with measurements of cortical volume (CV), surface area (SA), and cortical thickness (CT). Differences between groups in subcortical volume and in the organization of networks of structural covariance were also explored. Results: No significant differences in brain structure between groups were observed in whole-brain vertex-wise CV, SA, or CT. Also, no significant differences in subcortical volume were observed between risk groups. In relation to the structural covariance network, there was an indication of an increase in the hippocampus betweenness centrality index in the HR group network compared to the LR and current depression group networks. However, this result was only statistically significant when applying false discovery rate correction for nodes within the affective network. Conclusion: In an adolescent sample recruited using an empirically based composite risk score, no major differences in brain structure were detected according to the risk and presence of depression.

Sex-specific inflammatory markers of risk and presence of depression in adolescents.

BACKGROUND: Associations between inflammatory markers and depression are reported among adults; however, less is known in adolescent depression in particular whether these associations are sex-specific. We aimed to identify inflammatory markers of increased risk and presence of depression in adolescence and their association with severity of depressive symptoms in the entire cohort and separately in boys and girls. METHODS: We measured serum cytokines using a Meso Scale Discovery electrochemiluminescence V-PLEX assay in a cohort of 150 adolescents stratified for risk/presence of depression. Risk group and sex-specific differences in inflammatory markers were assessed with 2-way mixed ANOVA, and sex-moderated associations between inflammatory markers and the severity of depressive symptoms were assessed with moderated multiple hierarchical regression analyses. RESULTS: We found a significant interaction between biological sex and the risk group, where boys showed higher interleukin (IL)-2 levels among the depressed group compared with the low-risk group. The severity of depressive symptoms was associated with elevated levels of IL-2 in boys, and of IL-6 in girls. There was a significant moderating effect of sex on the relationship between IL-2 and the severity of depressive symptoms but not for IL-6. LIMITATIONS: The cross-sectional design means that we cannot be certain about the direction of the associations. CONCLUSIONS: Our findings suggest sex-specific associations between inflammatory markers and the development of adolescent depression, where IL-2 may increase risk for depression and severity of depressive symptoms in boys, but not in girls. However, IL-6 may increase risk for more severe depressive symptoms in girls.

Practitioners' perspectives on preparing for and delivering remote psychological support in Nepal, Perú and the United States during COVID-19.

INTRODUCTION: The COVID-19 pandemic has propelled a global paradigm shift in how psychological support is delivered. Remote delivery, through phone and video calls, is now commonplace around the world. However, most adoption of remote delivery methods is occurring without any formal training to ensure safe and effective care. OBJECTIVE: The purpose of this applied qualitative study was to determine practitioners' experiences of rapidly adapting to deliver psychological support remotely during COVID-19. DESIGN: We used a pragmatic paradigm and applied approach to gain perspectives related to the feasibility and perceived usefulness of synchronous remote psychological support, including views on how practitioners can be prepared. METHODS: Key informant interviews were conducted remotely with 27 specialist and non-specialist practitioners in Nepal, Perú and the USA. Interviewees were identified through purposeful sampling. Data were analysed using framework analysis. RESULTS: Respondents revealed three key themes: (i) Remote delivery of psychological support raises unique safety concerns and interference with care, (ii) Remote delivery enhances skills and expands opportunities for delivery of psychological support to new populations, and (iii) New training approaches are needed to prepare specialist and non-specialist practitioners to deliver psychological support remotely. CONCLUSIONS: Remote psychological support is feasible and useful for practitioners, including non-specialists, in diverse global settings. Simulated remote role plays may be a scalable method for ensuring competency in safe and effective remotely-delivered care.

Global Mental Health Services and the Impact of Artificial Intelligence-Powered Large Language Models.

This Viewpoint describes ways in which artificial intelligence­powered large language models may be used to improve the delivery of mental health services worldwide.

An MRI-based morphometric and structural covariance network study of Brazilian adolescents stratified by depression risk.

OBJECTIVE: To explore differences in regional cortical morphometric structure between adolescents at risk for depression or with current depression. METHODS: We analyzed cross-sectional structural neuroimaging data from a sample of 150 Brazilian adolescents classified as low-risk (n=50) or high-risk for depression (n=50) or with current depression (n=50) through a vertex-based approach with measurements of cortical volume, surface area and thickness. Differences between groups in subcortical volumes and in the organization of networks of structural covariance were also explored. RESULTS: No significant differences in brain structure between groups were observed in whole-brain vertex-wise cortical volume, surface area or thickness. Also, no significant differences in subcortical volume were observed between risk groups. In relation to the structural covariance network, there was an indication of an increase in the hippocampus betweenness centrality index in the high-risk group network compared to the low-risk and current depression group networks. However, this result was only statistically significant when applying false discovery rate correction for nodes within the affective network. CONCLUSION: In an adolescent sample recruited using an empirically based composite risk score, no major differences in brain structure were detected according to the risk and presence of depression.

Identifying Depression Early in Adolescence: assessing the performance of a risk score for future onset of depression in an independent Brazilian sample.

OBJECTIVE: The Identifying Depression Early in Adolescence Risk Score (IDEA-RS) was recently developed in Brazil using data from the Pelotas 1993 Birth Cohort to estimate the individualized probability of developing depression in adolescence. This model includes 11 sociodemographic variables and has been assessed in longitudinal studies from four other countries. We aimed to test the performance of IDEA-RS in an independent, community-based, school-attending sample within the same country: the Brazilian High-Risk Cohort. METHODS: Standard external validation, refitted, and case mix-corrected models were used to predict depression among 1442 youth followed from a mean age of 13.5 years at baseline to 17.7 years at follow-up, using probabilities calculated with IDEA-RS coefficients. RESULTS: The area under the curve was 0.65 for standard external validation, 0.70 for the case mix-corrected model, and 0.69 for the refitted model, with discrimination consistently above chance for predicting depression in the new dataset. There was some degree of miscalibration, corrected by model refitting (calibration-in-the-large reduced from 0.77 to 0). CONCLUSION: IDEA-RS was able to parse individuals with higher or lower probability of developing depression beyond chance in an independent Brazilian sample. Further steps should include model improvements and additional studies in populations with high levels of subclinical symptoms to improve clinical decision making.

Mental health related stigma, service provision and utilization in Northern India: situational analysis.

Stigma, discrimination, poor help seeking, dearth of mental health professionals, inadequate services and facilities all adversely impact the mental health treatment gap. Service utilization by the community is influenced by cultural beliefs and literacy levels. We conducted a situational analysis in light of the little information available on mental health related stigma, service provision and utilization in Haryana, a state in Northern India. This involved: (a) qualitative key informant interviews; (b) health facility records review; and (c) policy document review to understand the local context of Faridabad district in Northern India. Ethical approvals for the study were taken before the study commenced. Phone call in-depth interviews were carried out with a purposive sample of 13 participants (Mean = 38.07 years) during the COVID-19 pandemic, which included 4 community health workers, 4 people with mental illness, 5 service providers (primary health care doctors and mental health specialists). Data for health facility review was collected from local primary health and specialist facilities while key policy documents were critically analysed for service provision and stigma alleviation activities. Thematic analysis was used to analyse patterns within the interview data. We found poor awareness and knowledge about mental illnesses, belief in faith and traditional healers, scarcity of resources (medicines, trained professionals and mental health inpatient and outpatient clinics), poor access to appropriate mental health facilities, and high costs for seeking mental health care. There is a critical gap between mental health related provisions in policy documents and its implementation at primary and district level.

Mental health and psychosocial support in humanitarian settings: research priorities for 2021-30.

We describe an effort to develop a consensus-based research agenda for mental health and psychosocial support (MHPSS) interventions in humanitarian settings for 2021-30. By engaging a broad group of stakeholders, we generated research questions through a qualitative study (in Indonesia, Lebanon, and Uganda; n=101), consultations led by humanitarian agencies (n=259), and an expert panel (n=227; 51% female participants and 49% male participants; 84% of participants based in low-income and middle-income countries). The expert panel selected and rated a final list of 20 research questions. After rating, the MHPSS research agenda favoured applied research questions (eg, regarding workforce strengthening and monitoring and evaluation practices). Compared with research priorities for the previous decade, there is a shift towards systems-oriented implementation research (eg, multisectoral integration and ensuring sustainability) rather than efficacy research. Answering these research questions selected and rated by the expert panel will require improved partnerships between researchers, practitioners, policy makers, and communities affected by humanitarian crises, and improved equity in funding for MHPSS research in low-income and middle-income countries.

Psychosocial Peer Support to Address Mental Health and Burnout of Health Care Workers Affected by COVID-19: A Qualitative Evaluation.

Health care workers in the U.S. are experiencing alarming rates of burnout. Furthermore, the COVID-19 pandemic has worsened this issue. Psychosocial peer-support programs that address general distress and are tailored to health care systems are needed. A Care for Caregivers (CFC) Program was developed at an American metropolitan university hospital and outpatient health care system. The CFC program trains "Peer Caregivers" and managers and has four components: the identification of colleagues in need of support; psychological first aid; linkage to resources; and the promotion of hope among colleagues experiencing demoralization. Qualitative interviews (n = 18) were conducted with Peer Caregivers and Managers participating in the initial piloting of the program. Results suggest that the CFC program shifts the organizational culture, teaches staff skills for recognizing and supporting others in distress, and supports those staff who are already providing these services informally. Findings suggest that staff distress resulted primarily from external factors and secondarily from internal organizational stressors. External stressors were exacerbated by the COVID-19 pandemic. Although the program has promise for addressing staff burnout, other organizational efforts are needed to simultaneously promote staff wellness. Ultimately, psychosocial peer support programs for health care workers are feasible and potentially impactful, but also require other systemic changes within a health care system to improve and sustain staff well-being.