The costs of Suaahara II, a complex scaled-up multisectoral nutrition programme in Nepal.

Limited evidence exists on the costs of scaled-up multisectoral nutrition programmes. Such evidence is crucial to assess intervention value and affordability. Evidence is also lacking on the opportunity costs of implementers and participants engaging in community-level interventions. We help to fill this gap by estimating the full financial and economic costs of the United States Agency for International Development-funded Suaahara II (SII) programme, a scaled-up multisectoral nutrition programme in Nepal (2016-2023). We applied a standardized mixed methods costing approach to estimate total and unit costs over a 3.7-year implementation period. Financial expenditure data from national and subnational levels were combined with economic cost estimates assessed using in-depth interviews and focus group discussions with staff, volunteers, community members, and government partners in four representative districts. The average annual total cost was US$908,948 per district, with economic costs accounting for 47% of the costs. The annual unit cost was US$132 per programme participant (mother in the 1000-day period between conception and a child's second birthday) reached. Annual costs ranged from US$152 (mountains) to US$118 (plains) per programme participant. Personnel (63%) were the largest input cost driver, followed by supplies (11%). Community events (29%) and household counselling visits (17%) were the largest activity cost drivers. Volunteer cadres contributed significant time to the programme, with female community health volunteers spending a substantial amount of time (27 h per month) on SII activities. Multisectoral nutrition programmes can be costly, especially when taking into consideration volunteer and participant opportunity costs. This study provides much-needed evidence of the costs of scaled-up multisectoral nutrition programmes for future comparison against benefits.

COVID-19, the COVID-19 response, and racial injustice: Associations with depressive and anxiety symptoms among US adults from April 2020 to March 2021.

Background: People in the United States have faced numerous large and intersecting threats to their mental health since the onset of the coronavirus disease pandemic. This study aimed to understand the unique relationships between these co-occurring threats - including the police killings of unarmed Black people and the fight for racial justice - and how they affect mental health symptoms among various demographic groups. Methods: Data on population mental health, state-level COVID-19 incidence rates, cases of police-involved killings, and occurrences of racial justice protests were analyzed. The primary outcome was depression or anxiety symptoms. Regression models were used to estimate prospective associations between individual-, household-, and state-level exposures to hypothesized mental health threats and subsequent depression or anxiety symptoms. Results: Data from 2,085,041 individual participants were included. Most were women (51.2%), and most were white, non-Hispanic (61.2%), with almost half (47.7%) reporting some loss of household income since March 13, 2020. Neither the killing of unarmed Black people by police, nor the above-average occurrence of Black Lives Matter (BLM) protests, were observed to be associated with anxiety or depressive symptoms in the overall population, though the BLM protests were associated with reduced depressive and anxiety symptoms among younger participants. State-level COVID-19 incidence risk was more strongly associated with depressive and anxiety symptoms among women, Black people, older people, and higher income people, compared to men, white people, younger people, and lower income people. Conclusion: Our findings are relevant for anticipating and addressing the mental health consequences of social injustice and protest movements in the context of COVID-19 pandemic, as well as future pandemics. Promoting population mental health requires addressing underlying social and structural inequities and prioritizing the pursuit of social justice and health equity as a primary mental health intervention.

Assessing the Effectiveness of the Respecting the Circle of Life Project on Condom and Contraception Self-efficacy Among American Indian Youth.

Respecting the Circle of Life (RCL) is a teen pregnancy prevention program that was evaluated for effectiveness on sexual health risk behaviors through a two-arm randomized control trial (RCT) with American Indian (AI) youth ages 11-19. The objective of this study is to investigate the effects of RCL compared to a control group on items of condom and contraception self-efficacy. Linear regression analysis was used to compare differences in each item that included condom and contraception self-efficacy scales among the intervention and control participants at baseline, 3 and 9 months post intervention. Youth enrolled in the intervention reported higher levels of condom and contraception self-efficacy across almost all individual items. Exceptions include items related to partner negotiation of condom self-efficacy at 3 months (p = 0.227) and 9 months (p = 0.074) post intervention. Findings indicate RCL is effective at improving overall condom and contraception self-efficacy but did not impact the specific component of partner negotiation for either condom or contraception self-efficacy. This inquiry provides rationale to further explore components of RCL related to partner negotiation.

Estimating additional schooling and lifetime earning obtained from improved linear growth in low- and middle-income countries using the Lives Saved Tool (LiST).

Background: Policymakers seeking to prioritize the use of restricted financial resources need to understand the relative costs and benefits of interventions for improving nutritional status. Improved linear growth can lead to increased education attainment and improved economic productivity in low- and middle-income countries (LMICs), though these non-health-related benefits are not reflected in current long-term modelling efforts, including the Lives Saved Tool (LiST). Our objective was to integrate the effects of improved linear growth on non-health related benefit into LiST by estimating subsequent gains in years of schooling and wage earnings. We then estimated the impacts of reaching the Sustainable Development Goals (SDGs) target for stunting in South Asian countries on lifetime productivity. Methods: In the first step, we used LiST outputs to estimate the improved linear growth due to scaled-up nutrition interventions and used published estimates to quantify the education gain resulting from an increase in height for age z-score (HAZ). In the second step, we used published country-level estimates on economic returns to schooling to quantify the relative gains in wages that children born today will experience because of their additional education attainment in the future. In the last step, we used country-level data on wages to estimate the net present value of future earnings gained due to early childhood growth improvement per birth cohort. Results: If South Asia countries reach the SDG target by 2025, an estimated 8.6 million years of schooling will be obtained by six birth cohorts of 2020 to 2025. These six birth cohorts will also gain an estimated US$64 893 million in the present value term, at a 5% discount rate, in lifetime earnings. India has the largest expected gain in years of schooling (7367 years) and lifetime earnings (US$59 390 million in present value terms, at a 5% discount rate). Conclusions: Two non-health-related benefits of improved linear growth - additional years of schooling and lifetime earnings - are added in LiST. Together with LiST costing, users can now conduct both cost-effective and benefit-cost analyses. Using both analyses will provide more comprehensive insights into nutrition interventions' relative costs and benefits.

Baseline situational analysis in Bangladesh, Jordan, Paraguay, the Philippines, Ukraine, and Zimbabwe for the WHO Special Initiative for Mental Health: Universal Health Coverage for Mental Health.

INTRODUCTION: Mental, neurological and substance use conditions lead to tremendous suffering, yet globally access to effective care is limited. In line with the 13th General Programme of Work (GPW 13), in 2019 the World Health Organization (WHO) launched the WHO Special Initiative for Mental Health: Universal Health Coverage for Mental Health to advance mental health policies, advocacy, and human rights and to scale up access to quality and affordable care for people living with mental health conditions. Six countries were selected as 'early-adopter' countries for the WHO Special Initiative for Mental Health in the initial phase. Our objective was to rapidly and comprehensively assess the strength of mental health systems in each country with the goal of informing national priority-setting at the outset of the Initiative. METHODS: We used a modified version of the Program for Improving Mental Health Care (PRIME) situational analysis tool. We used a participatory process to document national demographic and population health characteristics; environmental, sociopolitical, and health-related threats; the status of mental health policies and plans; the prevalence of mental disorders and treatment coverage; and the availability of resources for mental health. RESULTS: Each country had distinct needs, though several common themes emerged. Most were dealing with crises with serious implications for population mental health. None had sufficient mental health services to meet their needs. All aimed to decentralize and deinstitutionalize mental health services, to integrate mental health care into primary health care, and to devote more financial and human resources to mental health systems. All cited insufficient and inequitably distributed specialist human resources for mental health as a major impediment. CONCLUSIONS: This rapid assessment facilitated priority-setting for mental health system strengthening by national stakeholders. Next steps include convening design workshops in each country and initiating monitoring and evaluation procedures.

Evaluating and optimizing the consolidated framework for implementation research (CFIR) for use in low- and middle-income countries: a systematic review.

BACKGROUND: The Consolidated Framework for Implementation Research (CFIR) is a determinants framework that may require adaptation or contextualization to fit the needs of implementation scientists in low- and middle-income countries (LMICs). The purpose of this review is to characterize how the CFIR has been applied in LMIC contexts, to evaluate the utility of specific constructs to global implementation science research, and to identify opportunities to refine the CFIR to optimize utility in LMIC settings. METHODS: A systematic literature review was performed to evaluate the use of the CFIR in LMICs. Citation searches were conducted in Medline, CINAHL, PsycINFO, CINAHL, SCOPUS, and Web of Science. Data abstraction included study location, study design, phase of implementation, manner of implementation (ex., data analysis), domains and constructs used, and justifications for use, among other variables. A standardized questionnaire was sent to the corresponding authors of included studies to determine which CFIR domains and constructs authors found to be compatible with use in LMICs and to solicit feedback regarding ways in which CFIR performance could be improved for use in LMICs. RESULTS: Our database search yielded 504 articles, of which 34 met final inclusion criteria. The studies took place across 21 countries and focused on 18 different health topics. The studies primarily used qualitative study designs (68%). Over half (59%) of the studies applied the CFIR at study endline, primarily to guide data analysis or to contextualize study findings. Nineteen (59%) of the contacted authors participated in the survey. Authors unanimously identified culture and engaging as compatible with use in global implementation research. Only two constructs, patient needs and resources and individual stages of change were commonly identified as incompatible with use. Author feedback centered on team level influences on implementation, as well as systems characteristics, such as health system architecture. We propose a "Characteristics of Systems" domain and eleven novel constructs be added to the CFIR to increase its compatibility for use in LMICs. CONCLUSIONS: These additions provide global implementation science practitioners opportunities to account for systems-level determinants operating independently of the implementing organization. Newly proposed constructs require further reliability and validity assessments. TRIAL REGISTRATION: PROSPERO, CRD42018095762.

Exploring HIV-Related Stigma as a Determinant of Engagement in HIV Care by African American Women.

Engagement in HIV care reduces HIV-related health disparities that persist across racial/ethnic and gender lines; yet, African American (AA) women face multiple challenges to remaining engaged in care, including HIV-related stigma. We analyzed longitudinal data from 239 participants in the Unity Health Study to estimate associations between HIV-related stigma and engagement in care among AA women linked to HIV care. In adjusted Poisson regression analyses, engagement in care was not associated with HIV-related stigma but was associated with older age (incidence rate ratio [IRR] = 1.01, 95% confidence interval [CI] = [1.00-1.01], p = .01), higher levels of education (IRR = 1.18, 95% CI = [1.02-1.35], p = .03), and higher levels of social support (IRR = 1.05, 95% CI = [1.01-1.09], p = .04). Our findings suggest the need for targeted interventions to enhance engagement in care and to incorporate social support into health promotion programming for AA women living with HIV.

Process and impact evaluation of a community gender equality intervention with young men in Rajasthan, India.

This paper reports on the results of a process and impact evaluation to assess the effects of a project aiming to engage men in changing gender stereotypes and improving health outcomes for women in villages in Rajasthan, India. We conducted seven focus group discussions with participants in the programme and six in-depth interviews with intervention group leaders. We also conducted 137 pre- and 70 post-intervention surveys to assess participant and community knowledge, attitudes and behaviours surrounding gender, violence and sexuality. We used thematic analysis to identify process and impact themes, and hierarchical mixed linear regression for the primary outcome analysis of survey responses. Post-intervention, significant changes in knowledge and attitudes regarding gender, sexuality and violence were made on the individual level by participants, as well as in the community. Moderate behavioural changes were seen in individuals and in the community. Study findings offer a strong model for prevention programmes working with young men to create a community effect in encouraging gender equality in social norms.

Challenges and strategies for implementing mental health measurement for research in low-resource settings.

The gap between need and access to mental health care is widest in low-resource settings. Health systems in these contexts devote few resources to expanding mental health care, and it is missing from the agenda of most global health donors. This is partially explained by the paucity of data regarding the nature and extent of the mental health burden in these settings, so accurate and comparable measurement is essential to advocating for, developing, and implementing appropriate policies and services. Inaccurate estimation of mental illness prevalence, and misunderstandings regarding its etiologies and expressions, are associated with unnecessary costs to health systems and people living with mental illness. This paper presents a selective literature review of the challenges associated with mental health measurement in these settings globally, presents several case studies, and suggests three strategies for researchers to improve their assessments: utilize qualitative data, conduct cognitive interviews and train research teams with a focus on inter-rater reliability. These three strategies presented, added to the complement of tools used by mental health researchers in low-resource settings, will enable more researchers to conduct culturally valid work, improve the quality of data available, and assist in narrowing the treatment gap.