Challenges facing mental health systems arising from the COVID-19 pandemic: Evidence from 14 European and North American countries.

We assessed challenges that the COVID-19 pandemic presented for mental health systems and the responses to these challenges in 14 countries in Europe and North America. Experts from each country filled out a structured questionnaire with closed- and open-ended questions between January and June 2021. We conducted thematic analysis to investigate the qualitative responses to open-ended questions, and we summarized the responses to closed-ended survey items on changes in telemental health policies and regulations. Findings revealed that many countries grappled with the rising demand for mental health services against a backdrop of mental health provider shortages and challenges responding to workforce stress and burnout. All countries in our sample implemented new policies or initiatives to strengthen mental health service delivery - with more than two-thirds investing to bolster their specialized mental health care sector. There was a universal shift to telehealth to deliver a larger portion of mental health services in all 14 countries, which was facilitated by changes in national regulations and policies; 11 of the 14 participating countries relaxed regulations and 10 of 14 countries made changes to reimbursement policies to facilitate telemental health care. These findings provide a first step to assess the long-term challenges and re-organizational effect of the COVID-19 pandemic on mental health systems in Europe and North America.

Pregnant women's perceptions of antenatal care and utilisation of digital health tools in Magu District, Tanzania: a qualitative study.

Antenatal care is essential to promote maternal health. Prior research has focused on barriers women face to attending antenatal care, and improving quality of care is seen as a precondition for better attendance. Digital health tools are seen as a promising instrument to increase the quality of healthcare. It is less clear to what extent the use of digital health tools in low- and middle-income counties would be perceived as beneficial by end-users. The aim of this research was to explore women's experiences with antenatal care, and whether digital health tools would change their perceptions of quality of care. This qualitative research utilised an interpretative phenomenological approach on data from semi-structured in-depth interviews collected in 2016 with 19 randomly selected pregnant women from six different dispensaries in Magu District. Findings showed that pregnant women are motivated to attend antenatal care and are grateful for the services received. However, they also articulated a need for improvements in antenatal care services such as the availability of diagnostic tests and more interactions with healthcare workers. Participants indicated that a digital health tool could help in storing patient files and improving communication with health workers. Our results indicate that pregnant women are positive about the use of digital health tools during antenatal care but that the implementation of such a tool should be implemented in parallel to structural service delivery improvements, such as testing availability.

Atmiyata, a community champion led psychosocial intervention for common mental disorders: A stepped wedge cluster randomized controlled trial in rural Gujarat, India.

BACKGROUND: While effective lay-health worker models for mental health care have been demonstrated through efficacy trials, there is limited evidence of the effectiveness of these models implemented in rural LMIC settings. AIM: To evaluate the impact of a volunteer community-led intervention on reduction in depression and anxiety symptoms and improvement in functioning, and social participation among people living in rural Gujarat, India. METHODS: Stepped-wedge cluster randomized controlled trial was used to assess the effectiveness of delivery of psychosocial intervention across 645 villages in Mehsana district of Gujarat, India between April 2017 and August 2019. The primary outcome was an improvement in depression and/or anxiety symptoms assessed using GHQ-12 at 3-month follow-up. Secondary outcomes were improvement in (a) depression and anxiety (Patient Health Questionnaire, (PHQ-9), Generalized Anxiety Disorder (GAD-7) & Self-Reporting Questionnaire-20 (SRQ-20); b) quality of life (EQ- 5D); c) functioning (WHO-DAS-12), and social participation (Social Participation Scale SPS). Generalized linear mixed-effects models were used to assess the independent effect of the intervention. RESULTS: Out of a total of 1191 trial participants (608- intervention & 583-control), 1014 (85%) completed 3-month follow-up. In an adjusted analysis, participants in the intervention condition showed significant recovery from symptoms of depression or anxiety (OR 2.2; 95% CI 1.2 to 4.6; p<0.05) at the end of 3-months, with effects sustained at 8-month follow-up (OR 3.0; 95% CI 1.6 to 5.9). Intervention participants had improved scores on the PHQ-9 (Adjusted mean difference (AMD) -1.8; 95%CI -3.0 to -0.6), and SRQ-20 (AMD -1.7; 95%CI -2.7 to -0.6), at 3-months and PHQ-9, GAD-7, SRQ-20, EQ-5D and WHO-DAS at 8 months follow-up. CONCLUSION: Findings suggest that Atmiyata had a significant effect on recovery from symptoms of depression and anxiety with sustained effects at 8-month follow-up. TRIAL REGISTRATION: Trial registration details. The trial was registered prospectively with the "Clinical Trial Registry in India" (registry number: CTRI/2017/03/008139).

Lifestyle versus social determinants of health in the Dutch parliament: An automated analysis of debate transcripts.

Although public health scholars increasingly recognize the importance of the social determinants of health (SDOH), health policy outputs tend to emphasize downstream lifestyle factors instead. We use an automated corpus research approach to analyse fourteen years of health policy debate in the Dutch House of Representatives' Health Committee, testing three potential causes of the lack of attention for SDOH: political ideology, by which members of parliament (MPs) from some political orientations may prioritize lifestyle factors over SDOH; lifestyle drift, by which early attention for SDOH during problem analysis is replaced by a lifestyle focus in the development of solutions as the challenges in addressing SDOH become clear; and focusing events, by which political or societal chance events, known to the public and political elites simultaneously, bolster the lifestyle perspective on health. Our analysis shows that overall, the committee spent most of its time discussing neither SDOH nor lifestyle: healthcare financing and service delivery dominated instead. When SDOH or lifestyle were referenced, left-leaning MPs referred significantly more to SDOH and right-leaning MPs significantly more to lifestyle. Temporal effects related to election cycles yielded inconsistent evidence. Finally, peak attention for both lifestyle and SDOH coincided with ongoing political debate instead of exogenous, unforeseen focusing events, and these peaks were rendered relatively insignificant by the larger and more consistent attention for health care. This paper provides a first step toward automated analysis of policy debates at scale, opening up new avenues for the empirical study of health political discourse.

Impact of the COVID-19 pandemic on working conditions and mental well-being of mental health professionals in the Netherlands: a cross-sectional study.

OBJECTIVES: To examine the extent of the impact of the COVID-19 pandemic on the mental health and well-being of mental health professionals (MHPs) in the Netherlands and understand their needs during the COVID-19 pandemic. DESIGN AND SETTING: A cross-sectional, mixed-methods study was conducted with MHPs from the Netherlands from June 2020 to October 2020, consisting of an online survey and three online focus group discussions. PARTICIPANTS: Participants were MHPs from various occupational groups (psychologists, social workers, mental health nurses, developmental education workers, etc). PRIMARY AND SECONDARY OUTCOME MEASURES: The online survey included questions about work-related changes due to COVID-19 perceived resilience to stress, changes in lifestyle behaviours and mental health symptoms. The focus group discussions focused mostly on work experiences during the first wave of the COVID-19 pandemic. RESULTS: MHP's reported an increase in experience workload during the pandemic (mean score 8.04 based on a scale of 1-10) compared to before the pandemic (mean score of 7). During the first wave of the pandemic, 50% of respondents reported increased stress, 32% increased sleeping problems and 24% increased mental health problems. Adverse occupational (eg, increased workload OR 1.72, 95% CI 1.28-2.32), psychological (eg, life satisfaction OR 0.63, 95% CI 0.52-0.75), lifestyle (eg, increased sleep problems OR 2.80, 95% CI 2.07-3.80) and physical factors (decline in physical health OR 3.56, 95% CI 2.61-4.85) were associated with a decline in mental health. Participants expressed significant concern in the focus group discussions about the duration of the pandemic, the high workload, less work-life balance and lack of contact with colleagues. Suggestions to improve working conditions included ensuring clear communication about guidelines and facilitating worker contact and support via peer-to-peer coaching where experiences can be shared. CONCLUSIONS: The current study indicates that MHP experienced a decline in mental health status during the first wave of the COVID-19 pandemic, which should be taken into consideration by employers, policymakers and researchers.

Study protocol: development and randomized controlled trial of a preventive blended care parenting intervention for parents with PTSD.

BACKGROUND: Children of parents with post-traumatic stress disorder (PTSD) are at increased risk of adverse psychological outcomes. An important risk mechanism is impaired parental functioning, including negative parenting behavior, perceived incompetence, and lack of social support. Several parenting interventions for trauma-exposed parents and parents with psychiatric disorders exist, but none have specifically targeted parents with PTSD. Our objective is to evaluate the effectiveness of a blended care preventive parenting intervention for parents with PTSD. METHODS: The intervention was adapted from an existing online intervention, KopOpOuders Self-Help. In co-creation with parents with PTSD and partners, the intervention was adapted into KopOpOuders-PTSD, by adding PTSD-specific content and three in-person-sessions with a mental health prevention professional. Effectiveness will be tested in a randomized controlled trial among N = 142 parents being treated for PTSD at Arkin Mental Health Care (control condition: treatment as usual, n = 71; intervention condition: treatment as usual + intervention, n = 71). Online questionnaires at pretest, posttest, and three-month follow-up and ecological momentary assessment at pretest and posttest will be used. Intervention effects on primary (parenting behavior) and secondary outcomes (perceived parenting competence, parental social support, parenting stress, child overall psychological problems and PTSD symptoms) will be analyzed using generalized linear mixed modeling. We will also analyze possible moderation effects of parental PTSD symptoms at pretest on primary and secondary outcomes. DISCUSSION: This study protocol describes the randomized controlled trial of KopOpOuders-PTSD, a blended care preventive parenting intervention for parents with PTSD. Findings can contribute to understanding of the effectiveness of parenting support in clinical practice for PTSD. TRIAL REGISTRATION: This protocol (Version 1) was registered on 11-02-2022 at ClinicalTrials.gov under identification number NCT05237999.

The impact of the COVID-19 pandemic and earthquake on mental health of persons with severe mental illness: A survey study among people receiving community mental health care versus treatment as usual in Croatia.

BACKGROUND: The COVID-19 pandemic led to the disruption of mental health services in most countries. Croatia has been developing and strengthening its mental health system, including the introduction of community mental health teams (CMHT) for persons with severe mental illness (SMI), whose implementation was ongoing during the pandemic through the RECOVER-E project. AIMS: The aim of this study was to assess the differences in mental health outcomes, perceived social support and healthcare utilization in the group of participants receiving treatment as usual (TAU group) compared to the group receiving TAU and additional care by the CMHT (CMHT group) during the COVID-19 pandemic and two earthquakes. METHOD: This is a cross-sectional survey administered among 90 participants with SMI at two time points: in May/June 2020 (first COVID-19 wave, earthquake) and in December 2020/January 2021 (second COVID-19 wave, earthquake). RESULTS: A significantly larger proportion of participants from the CMHT group visited the general practitioners in both waves of COVID-19 (first wave: CMHT 72.1%, TAU 44.2%, p = .009; second wave: CMHT 91.1%, TAU 64.1%, p = .003), as well as psychiatric services in the second wave (CMHT 95.3%, TAU 79.5%, p = .028). The use of long-acting injectables was also more frequent in the CMHT group (p = .039). Furthermore, analysis of the first wave showed higher perceived support of significant others (p = .004) in the CMHT group. We did not identify any differences in mental health outcomes between groups in either wave. CONCLUSIONS: While mental health outcomes did not differ between TAU and CMHT group, people in CMHT used services and treatments more frequently than those in TAU during the pandemic, which may indicate that CMHT services enable the continuity and accessibility of care for people with SMI under the circumstances where standard care is interruped (for example pandemic, disaster conditions).

Changes in substance use and engagement in gaming/gambling in persons with severe mental illness during the COVID-19 pandemic and earthquakes: a community study in two points.

Introduction: External stressors, such as COVID-19 pandemic and earthquake, can cause an increase in substance use and addictive behavior in persons with severe mental illnesses (SMI). We analyzed the changes and predictors of substance use and addictive behavior in SMI during these double disasters in Croatia. Methods: Questionnaires exploring the presence of substance or behavior addiction disorder, mental ill health [Depression Anxiety Stress Scales-21 (DASS-21), Insomnia Severity Index (ISI), Perceived Stress Scale (PSS), Obsessive-Compulsive Inventory-Revised], coping mechanisms, and perceived social support [Multidimensional Scale of Perceived Social Support (MSPSS)] were administered among 90 participants with SMI included in the RECOVER-E study in May/June 2020 (first COVID-19 wave, Zagreb earthquake) and in December 2020/January 2021 (second COVID-19 wave, Petrinja earthquake). Results: In both time points, a major increase was observed in tobacco smoking (25.0%; 28.6%, respectively) predicted by discontinuation of antidepressants and higher DASS-21 score. Increased sedative use was observed (24.4%; 23.8%, respectively) predicted by higher PSS and ISI scores, lower MSPSS scores, antipsychotic discontinuation and not receiving community mental health team (CMHT) service. Discussion: In persons with SMI during a double disaster special attention needs to be given to reducing mental-ill health and stress, providing social support and continuity of psychiatric care, through medications and CMHTs.

Comparing a ses-sensitive and an all-ses implementation strategy to improve participation rates of patients with a lower socioeconomic background in a web-based intervention for depressive complaints: a cluster randomised trial in primary care.

BACKGROUND: Depression is a major public health concern, which is most pronounced in population segments with a lower social-economic status (SES). E-health interventions for depressive complaints are proven to be effective, but their reach needs to be improved, especially among people with a lower socioeconomic status (SES). Implementing e-health interventions in the primary care setting with SES-sensitive guidance from General Practice nurses (GP nurses) may be a useful strategy to increase the reach of e-health in lower SES groups. We implemented an evidence-based online intervention that targets depressive complaints in primary care. METHODS: A pragmatic cluster-randomised trial was conducted in two parallel groups where a SES sensitive (SES-sens) implementation strategy with additional face-to-face guidance by GP nurses was compared to an all-SES implementation strategy. The primary outcome was the percentage of lower SES participants in either condition. Participation was defined as completing at least 1 face-to-face session and 2 online exercises. Participation rates were evaluated using logistic mixed modelling. RESULTS: In both conditions, the participation rates of lower SES participants were quite high, but were notably lower in the SES-sens implementation condition (44%) than in the all-SES implementation condition (58%). This unexpected outcome remained statistically significant even after adjusting for potential confounders between the conditions (Odds Ratio 0.43, 95%-CI 0.22 to 0.81). Less guidance was provided by the GP nurses in the SES-sens group, contrary to the implementation instructions. CONCLUSIONS: From a public health point of view, it is good news that a substantial number of primary care patients with a lower SES level used the implemented e-health intervention. It is also positive that an all-SES implementation strategy performed well, and even outperformed a SES-sensitive strategy. However, this was an unexpected finding, warranting further research into tailoring implementation strategies of e-health interventions towards specific target groups in the primary care setting. TRIAL REGISTRATION: Netherlands Trial Register, identifier: NL6595 , registered on 12 November 2017.

How Medicare Advantage plans use data for supplemental benefits decision-making.

OBJECTIVES: Health care payers are increasingly experimenting with interventions to address social risk factors. With enactment of the 2018 Bipartisan Budget Act, Medicare Advantage (MA) plans have new opportunities to offer supplemental benefits that are not "primarily health-related." This article presents findings from interviews conducted with executives from MA plans regarding plan decision-making processes related to new social risk factor benefits. STUDY DESIGN: Semistructured qualitative interviews with MA plan leadership. METHODS: A total of 63 plan representatives from 29 unique MA plans were interviewed about the rationale for social risk-related interventions and how data are used to inform benefits expansion decisions. This paper combines qualitative interview data from 2 separate studies with similar target groups and interview guides. Interview transcripts were qualitatively analyzed to examine underlying themes. RESULTS: Three main themes emerged: (1) Plans use multiple data sources to determine how to target benefits; (2) evidence gaps hinder decision-making to expand or offer new supplemental benefits; and (3) in the absence of sufficient evidence, some plans have their own research and quality improvement processes to maximize effectiveness. CONCLUSIONS: Findings provide insights about opportunities and challenges that MA plans face in making decisions related to supplemental benefits designed to address members' social risk factors. Barriers include collecting, generating, and analyzing data critical to informing investments. Results highlight the need to ensure interoperability of new and existing data sources, foster shared learning opportunities, and narrow evidence gaps about specific social care interventions to inform the design and implementation of effective supplemental benefits.

A school-based program to prevent depressive symptoms and strengthen well-being among pre-vocational students (Happy Lessons): protocol for a cluster randomized controlled trial and implementation study.

BACKGROUND: Depression is one of the leading causes of illness and disability among young people. In the Netherlands, one in twelve Dutch adolescents has experienced depression in the last 12 months. Pre-vocational students are at higher risk for elevated depressive symptoms. Effective interventions, especially for this risk group, are therefore needed to prevent the onset of depression or mitigate the adverse long-term effects of depression. The aim of this study is to examine the effectiveness and implementation of a school-based program Happy Lessons (HL), that aims to prevent depression and promote well-being among pre-vocational students. METHODS: A cluster randomized controlled trial (RCT) with students randomized to HL or to care as usual will be conducted. Pre-vocational students in their first or second year (aged 12 to 14) will participate in the study. Subjects in both conditions will complete assessments at baseline and at 3- and 6-months follow-up. The primary outcome will be depressive symptoms using the Center for Epidemiologic Studies Depression Scale (CES-D) at 6-months follow-up. Secondary outcomes are well-being using the Warwick-Edinburgh Mental Well-Being Scale (WEMWBS) and life satisfaction (Cantril Ladder) measured at 6-months follow-up. Alongside the trial, an implementation study will be conducted to evaluate the implementation of HL, using both quantitative and qualitative methods (interviews, survey, and classroom observations). DISCUSSION: The results from both the RCT and implementation study will contribute to the limited evidence base on effective school-based interventions for the prevention of depression and promotion of well-being among pre-vocational adolescents. In addition, insights from the implementation study will aid identifying factors relevant for optimizing the future implementation and scale-up of HL to other schools and contexts. TRIAL REGISTRATION: This study was registered on 20 September 2021 in the Dutch Trial Register ( NL9732 ).

Experiences of healthcare staff providing community-based mental healthcare as a multidisciplinary community mental health team in Central and Eastern Europe findings from the RECOVER-E project: an observational intervention study.

BACKGROUND: Community Mental Health Teams (CMHTs) deliver healthcare that supports the recovery of people with mental illness. The aim of this paper was to explore to what extent team members of five CMHTs newly implemented in five countries perceived that they had introduced aspects of the recovery-oriented, strength-based approach into care after a training week on recovery-oriented practice. In addition, it evaluated what the team members' perceptions on their care roles and their level of confidence with this role were. METHOD: An observational intervention study using a quantitative survey that was administered among 52 health professionals (21 Nurses, 13 Psychiatrists, 9 Psychologists, 8 Social Workers) and 14 peer workers including the Recovery Self-Assessment Tool Provider Version (RSA-P), the Team Member Self-Assessment Tool (TMSA), and demographic questions was conducted. The measures were self-reported. Descriptive statistics were used to calculate the means and standard deviations for continuous variables and frequencies and percentages for categorical variables (TMSA tool and demographic data). The standard technique to calculate scale scores for each subscale of the RSA-P was used. Bivariate linear regression analyses were applied to explore the impact of predictors on the subscales of the RSA-P. Predictors with significant effects were included in multiple regression models. RESULT: The RSA-P showed that all teams had the perception that they provide recovery-oriented practice to a moderately high degree after a training week on recovery-oriented care (mean scores between 3.85-4.46). Health professionals with fewer years of professional experience perceived more frequently that they operated in a recovery-oriented way (p = 0.036, B = - 0.268). Nurses and peer workers did not feel confident or responsible to fulfil specific roles. CONCLUSION: The findings suggest that a one-week training session on community-based practices and collaborative teamwork may enhance recovery-oriented practice, but the role of nurses and peer workers needs further attention. TRIAL REGISTRATION: Each trial was registered before participant enrolment in the clinicaltrials.gov database: Croatia, Zagreb (Trial Reg. No. NCT03862209 ); Montenegro, Kotor (Trial Reg. No. NCT03837340 ); Romania, Suceava (Trial Reg. No. NCT03884933 ); Macedonia, Skopje (Trial Reg. No. NCT03892473 ); Bulgaria, Sofia (Trial Reg. No. NCT03922425 ).

Perceived Support for Recovery and Level of Functioning Among People With Severe Mental Illness in Central and Eastern Europe: An Observational Study.

Background: Many people with severe mental illness experience limitations in personal and social functioning. Care delivered in a person's community that addresses needs and preferences and focuses on clinical and personal recovery can contribute to addressing the adverse impacts of severe mental illness. In Central and Eastern Europe, mental health care systems are transitioning from institutional-based care toward community-based care. The aim of this study is to document the level of functioning and perceived support for recovery in a large population of service users with severe mental illness in Central and Eastern Europe, and to explore associations between perceived support for recovery and the degree of functional limitations. Methods: The implementation of community mental health teams was conducted in five mental health centers in five countries in Central and Eastern Europe. The present study is based on trial data at baseline among service users across the five centers. Baseline data included sociodemographic, the World Health Organization Disability Assessment Schedule (WHODAS 2.0) for functional limitations, and the Recovery Support (INSPIRE) tool for perceived staff support toward recovery. We hypothesized that service users reporting higher levels of perceived support for their recovery would indicate lower levels of functional limitation. Results: Across all centers, the greatest functional limitations were related to participation in society (43.8%), followed by daily life activities (33.3%), and in education or work (35.6%). Service users (N = 931) indicated that they were satisfied overall with the support received from their mental health care provider for their social recovery (72.5%) and that they valued their relationship with their providers (80.3%). Service users who perceived the support they received from their provider as valuable (b = -0.10, p = 0.001) and who reported to have a meaningful relationship with them (b = -0.13, p = 0.003) had a lower degree of functional limitation. Conclusion: As hypothesized, the higher the degree of perceived mental health support from providers, the lower the score in functional limitations. The introduction of the community-based care services that increase contact with service users and consider needs and which incorporate recovery-oriented principles, may improve clinical recovery and functional outcomes of service users with severe mental illness.

The Development of an Electronic Clinical Decision and Support System to Improve the Quality of Antenatal Care in Rural Tanzania: Lessons Learned Using Intervention Mapping.

It is widely recognised that high quality antenatal care is a key element in maternal healthcare. Tanzania has a very high maternal mortality ratio of 524 maternal deaths per 100,000 live births. Most maternal deaths are due to preventable causes that can be detected during pregnancy, and antenatal care therefore plays an important role in reducing maternal morbidity and mortality. Unfortunately, quality of antenatal care in Tanzania is low: Research has shown that healthcare workers show poor adherence to antenatal care guidelines, and the majority of pregnant women miss essential services. Digital health tools might improve the performance of healthcare workers and contribute to improving the quality of antenatal care. To this end, an electronic clinical decision and support system (the Nurse Assistant App) was developed and implemented in Tanzania in 2016 to provide digital assistance during antenatal care consultations to healthcare workers. The current study systematically evaluated the development and implementation process of the Nurse Assistant App in Magu District, Tanzania, with the aim of informing future programme planners about relevant steps in the development of a digital health intervention. Desk research was combined with semi-structured interviews to appraise the development process of the digital health tool. We employed the criteria stipulated by Godin et al., which are based on the six steps of Intervention Mapping [IM; Bartholomew Eldredge et al.]. Findings indicated that five of the six steps of IM were completed during the development and implementation of the Nurse Assistant App. Tasks related to community engagement, adjustment to local context, implementation in the practical context in collaboration with local partners, and rigorous evaluation were accomplished. However, tasks related to identifying theory-based behaviour change methods were not accomplished. Based on the lessons learned during the process of developing and implementing the Nurse Assistant App, we conclude that programme developers are recommended to (1) engage the community and listen to their insights, (2), focus on clear programme goals and the desired change, (3), consult or involve a behaviour change specialist, and (4), anticipate potential problems in unexpected circumstances.

How does income affect mental health and health behaviours? A quasi-experimental study of the earned income tax credit.

BACKGROUND: Although research has repeatedly demonstrated the association between poverty, mental health, and health behaviours, there is limited evidence on the effects of interventions to improve these outcomes by addressing poverty directly. Moreover, most prior studies are often confounded by unobserved characteristics of individuals, making it difficult to inform possible interventions. We addressed this gap in the literature by leveraging quasi-random variation in the earned income tax credit (EITC)-the largest US poverty alleviation programme for families with children-to examine the effects on overall health, psychological distress, smoking, and alcohol consumption. METHODS: We used a large diverse national sample drawn from the Panel Study of Income Dynamics (N=34 824). We first conducted ordinary least squares (OLS) models to estimate the association of income and the EITC with the outcomes of interest. We subsequently employed a quasi-experimental instrumental variables (IV) analysis-in which EITC refund size was the instrument-to estimate the effect of income itself. RESULTS: In OLS models, higher income was associated with reductions in psychological distress, increased drinking, increased smoking, and more cigarettes per day, and larger EITC refunds were associated with reductions in psychological distress. In IV models, higher income was associated with decreased psychological distress. CONCLUSION: These results suggest that typical correlational studies of the health effects of income may be confounded, although results may not generalise to income distributed in different ways than the EITC. The findings also provide valuable information for policymakers and researchers seeking to address socioeconomic disparities in mental health.

The effects of state earned income tax credits on mental health and health behaviors: A quasi-experimental study.

The earned income tax credit (EITC) is the largest U.S. poverty alleviation program for families with children, and state EITC policies provide a modest supplement to the federal program. Yet there are few studies of the effects of state EITC policies on population health. We examined whether state EITC policies affect mental health and health behaviors. Participants were drawn from the 1995-2015 waves of the Panel Study of Income Dynamics, a diverse national cohort study (N = 10,567). We used a quasi-experimental difference-in-differences analysis to examine the effects of state EITC programs among eligible individuals, accounting for secular trends among similar individuals in non-EITC states. Outcomes included self-reported general health, psychological distress, alcohol use, and smoking. The mean size of state EITC refunds in our sample was $265 for eligible individuals. In the overall sample, state EITC programs were not associated with any health outcomes of interest. This finding was robust to alternative specifications, and similar in subgroup analyses by gender and marital status. This study suggests that state EITC programs, which tend to provide smaller refunds than the federal program, may not be large enough to have a positive impact on mental health and health behaviors. These findings may inform policymaking related to the generosity of state EITC programs, especially as states seek to address the socioeconomic consequences of the COVID-19 pandemic.

Identifying challenges and recommendations for advancing global mental health implementation research: A key informant study of the National Institute of Mental Health Scale-Up Hubs.

OBJECTIVE: This study explored perspectives of researchers working with the National Institute of Mental Health (NIMH) Scale-Up Hubs, consisting of research partnerships for scaling up mental health interventions in low- and middle-income countries (LMICs), to: 1) identify common barriers to conducting impactful research on the implementation of evidence-based mental health services; and 2) provide recommendations to overcome these implementation challenges. METHODS: A sequential qualitative approach was employed. First, an open-ended survey was distributed to the 10 Scale-Up Hubs and NIMH program staff asking informants to identify challenges in conducting mental health implementation research in LMICs. Second, survey findings guided an in-person workshop to generate implementation recommendations to inform the field. RESULTS: In total, 46 respondents completed surveys, and 101 researchers attended the workshop. The workshop produced implementation recommendations for low-resource settings: 1) identifying impact of research on policy and practice; 2) sustaining careers of early researchers in global mental health; 3) engaging policymakers and donors to value mental health research; 4) supporting the workforce for delivering evidence-based treatments for mental disorders; and 5) promoting sustainability of programs. CONCLUSIONS: These findings can strengthen collaboration between researchers and key stakeholders, and highlight important targets for improving mental health implementation research in LMICs.

The Bittersweet Effects of COVID-19 on Mental Health: Results of an Online Survey among a Sample of the Dutch Population Five Weeks after Relaxation of Lockdown Restrictions.

Previous research shows that crises can have both negative and positive mental health effects on the population. The current study explored these effects in the context of the COVID-19 pandemic after relaxation of governmental measures. An online survey was administered among a representative sample of the Dutch population (n = 1519) in June 2020, ten weeks after the peak of COVID-19 had passed, and five weeks after restrictions were relaxed. Participants were asked about mental health, adverse events during COVID-19, and about any positive effects of the pandemic. Most participants (80%, n = 1207) reported no change in mental health since the COVID-19 pandemic. This was also the case among respondents who had experienced an adverse event. Protective factors of mental health were being male and high levels of positive mental well-being. Risk factors were emotional loneliness and the experience of adverse life events. Social loneliness was positively associated with stable mental health, stressing the importance of meaningful relationships. Note that 58% of participants reported positive effects of the pandemic, the most common of which were rest, working from home, and feeling more socially connected. In summary, 10 weeks after the start of the crisis, and 5 weeks after relaxation of the restrictions, most people remained stable during the crisis, and were even able to report positive effects.

Implementation of a comprehensive surveillance system for recording suicides and attempted suicides in rural India.

INTRODUCTION: WHO reports that 78 of the 140 low-income and middle-income countries (LMICs) do not have a registration system for suicides and attempted suicides. Absence of data on suicide and attempted suicide in LMICs, which account for 79% of suicides worldwide, is a major impediment in understanding the magnitude of the problem and formulating prevention strategies to reduce suicide and self-harm. A comprehensive surveillance system has the potential to address this data gap. The objective of this study is to describe the development of a comprehensive surveillance system in rural India by adding a community based component and reflect on its added value in obtaining data on suicide and attempted suicide compared with relying only on hospital and police records. METHOD: The comprehensive system consists of three components. Community surveillance involved collecting information on suicides and attempted suicides from third party key informants such as village heads, teachers, priests, shopkeepers, private physicians, private hospitals and community health workers. The second component consisted of data from public health facilities. The final component consisted of suicide data from police records. Information was collected for a period of 12 months from August 2018 to July 2019 from 116 villages (population 377 276) in Gujarat, India. RESULTS: An average of 710 community informants were interviewed each month (mean: 6.72 informants per village). The community surveillance system identified 67 cases of suicide compared with 30 cases by hospital and police records (Cochran's Q test 67.9 p<0.01) and 70 attempted suicides compared with 51 from the hospital and police records (Cochran's Q test 66.6 p<0.01). DISCUSSION: This is the first report of implementing a large-scale comprehensive surveillance system for suicide and attempted suicide in a LMIC. The combination of community surveillance system and official data from hospital and police records addresses the problem of under-reporting of suicide and suicide attempts in India and other LMIC.