Impact of COVID-19 pandemic on depression incidence and healthcare service use among patients with depression: an interrupted time-series analysis from a 9-year population-based study.

BACKGROUND: Most studies on the impact of the COVID-19 pandemic on depression burden focused on the earlier pandemic phase specific to lockdowns, but the longer-term impact of the pandemic is less well-studied. In this population-based cohort study, we examined the short-term and long-term impacts of COVID-19 on depression incidence and healthcare service use among patients with depression. METHODS: Using the territory-wide electronic medical records in Hong Kong, we identified all patients aged ≥ 10 years with new diagnoses of depression from 2014 to 2022. We performed an interrupted time-series (ITS) analysis to examine changes in incidence of medically attended depression before and during the pandemic. We then divided all patients into nine cohorts based on year of depression incidence and studied their initial and ongoing service use patterns until the end of 2022. We applied generalized linear modeling to compare the rates of healthcare service use in the year of diagnosis between patients newly diagnosed before and during the pandemic. A separate ITS analysis explored the pandemic impact on the ongoing service use among prevalent patients with depression. RESULTS: We found an immediate increase in depression incidence (RR = 1.21, 95% CI: 1.10-1.33, p < 0.001) in the population after the pandemic began with non-significant slope change, suggesting a sustained effect until the end of 2022. Subgroup analysis showed that the increases in incidence were significant among adults and the older population, but not adolescents. Depression patients newly diagnosed during the pandemic used 11% fewer resources than the pre-pandemic patients in the first diagnosis year. Pre-existing depression patients also had an immediate decrease of 16% in overall all-cause service use since the pandemic, with a positive slope change indicating a gradual rebound over a 3-year period. CONCLUSIONS: During the pandemic, service provision for depression was suboptimal in the face of increased demand generated by the increasing depression incidence during the COVID-19 pandemic. Our findings indicate the need to improve mental health resource planning preparedness for future public health crises.

Practical strategies to achieve resilient health systems: results from a scoping review.

BACKGROUND: This paper presents the results of a systematic review to identify practical strategies to create the institutions, skills, values, and norms that will improve health systems resilience. METHODS: A PRISMA 2020 compliant systematic review identified peer-reviewed and gray literature on practical strategies to make health systems more resilient. Investigators screened 970 papers to identify 65 English language papers published since 2015. RESULTS: Practical strategies focus efforts on system changes to improve a health system's resilience components of collective knowing, collective thinking, and collaborative doing. The most helpful studies identified potential lead organizations to serve as the stewards of resilience improvement, and these were commonly in national and local departments of public health. Papers on practical strategies suggested possible measurement tools to benchmark resilience components in efforts to focus on performance improvement and ways to sustain their use. Essential Public Health Function (EPHF) measurement and improvement tools are well-aligned to the resilience agenda. The field of health systems resilience lacks empirical trials linking resilience improvement interventions to outcomes. CONCLUSIONS: The rigorous assessment of practical strategies to improve resilience based on cycles of measurement should be a high priority.

Projecting the 10-year costs of care and mortality burden of depression until 2032: a Markov modelling study developed from real-world data.

Background: Based on real-world data, we developed a 10-year prediction model to estimate the burden among patients with depression from the public healthcare system payer's perspective to inform early resource planning in Hong Kong. Methods: We developed a Markov cohort model with yearly cycles specifically capturing the pathway of treatment-resistant depression (TRD) and comorbidity development along the disease course. Projected from 2023 to 2032, primary outcomes included costs of all-cause and psychiatric care, and secondary outcomes were all-cause deaths, years of life lived, and quality-adjusted life-years. Using the territory-wide electronic medical records, we identified 25,190 patients aged ≥10 years with newly diagnosed depression from 2014 to 2016 with follow-up until 2020 to observe the real-world time-to-event pattern, based on which costs and time-varying transition inputs were derived using negative binomial modelling and parametric survival analysis. We applied the model as both closed cohort, which studied a fixed cohort of incident patients in 2023, and open cohort, which introduced incident patients by year from 2014 to 2032. Utilities and annual new patients were from published sources. Findings: With 9217 new patients in 2023, our closed cohort model projected the 10-year cumulative costs of all-cause and psychiatric care to reach US$309.0 million and US$58.3 million, respectively, with 899 deaths (case fatality rate: 9.8%) by 2032. In our open cohort model, 55,849-57,896 active prevalent cases would cost more than US$322.3 million and US$60.7 million, respectively, with more than 943 deaths annually from 2023 to 2032. Fewer than 20% of cases would live with TRD or comorbidities but contribute 31-54% of the costs. The greatest collective burden would occur in women aged above 40, but men aged above 65 and below 25 with medical history would have the highest costs per patient-year. The key cost drivers were relevant to the early disease stages. Interpretation: A limited proportion of patients would develop TRD and comorbidities but contribute to a high proportion of costs, which necessitates appropriate attention and resource allocation. Our projection also demonstrates the application of real-world data to model long-term costs and mortality, which aid policymakers anticipate foreseeable burden and undertake budget planning to prepare for the care need in alternative scenarios. Funding: Research Impact Fund from the University Grants Committee, Research Grants Council with matching fund from the Hong Kong Association of Pharmaceutical Industry (R7007-22).

Contemporary Public Health Finance: Varied Definitions, Patterns, and Implications.

The financing of public health systems and services relies on a complex and fragmented web of partners and funding priorities. Both underfunding and "dys-funding" contribute to preventable mortality, increases in disease frequency and severity, and hindered social and economic growth. These issues were both illuminated and magnified by the COVID-19 pandemic and associated responses. Further complicating issues is the difficulty in constructing adequate estimates of current public health resources and necessary resources. Each of these challenges inhibits the delivery of necessary services, leads to inequitable access and resourcing, contributes to resource volatility, and presents other deleterious outcomes. However, actions may be taken to defragment complex funding paradigms toward more flexible spending, to modernize and standardize data systems, and to assure equitable and sustainable public health investments.

Understanding paediatric COVID-19 vaccination during the pandemic: a prospective cohort and a population-based registry study.

Background: Despite the early demonstrated safety and effectiveness of COVID-19 vaccines in children, uptake was slow throughout the pandemic and remains low globally. Understanding vaccine refusal could provide insights to improving vaccine uptake in future pandemics. Methods: In a population-wide registry of all COVID-19 paediatric vaccination appointments, we used interrupted time series analysis to evaluate the impact of public policies. In a population-based cohort of adults, we used population attributable fractions to assess the individual and joint contributions of potential determinants to paediatric COVID-19 vaccination, and used mediation analysis to identify modifiable mediators between political views and paediatric vaccination. Findings: School vaccination requirements were associated with an increase in vaccination appointments by 278.7% (95% CI 85.3-673.9) in adolescents aged 12-17 and 112.8% (27.6-255.0) in children aged 5-11. Government-mandated vaccine pass, required for entry into restaurants, shopping malls and supermarkets, was associated with increased vaccination appointments by 108.7% (26.6-244.0) in adolescents. The following four determinants may explain 82.5% (63.5-100.0) of the reasons why children were unvaccinated: familial political views, vaccine hesitancy for children, mistrust in doctors and academics, and vaccine misconceptions. The influence of political views may be mitigated since 95.9% (76.4-100.0) of its association with vaccine reluctance for adolescents was mediated by modifiable factors such as mistrust in health authorities and low vaccine confidence. Interpretation: School vaccination requirements and vaccine passes were associated with increased vaccine uptake. Clinicians should recognise that factors beyond health, such as political views, can influence paediatric vaccine uptake to a significant extent. Nonetheless, such influences could be mitigated by targeted interventions and public policies. Funding: Hong Kong Jockey Club Charities Trust, Research Grants Council, University Grants Committee, and Health Bureau.

The road to recovery: impact of COVID-19 on healthcare utilization in South Korea in 2016-2022 using an interrupted time-series analysis.

Background: The COVID-19 pandemic substantially disrupted healthcare utilization patterns, globally. South Korea had been praised widely in its efforts to contain the spread of the pandemic, which may have contributed to a significantly smaller reduction in healthcare utilization compared to neighboring countries. However, it remains unknown how the COVID-19 pandemic impacted utilization patterns across population sub-groups, particularly vulnerable patient groups in South Korea. This paper quantifies the changes in healthcare utilization attributable to COVID-19 and the COVID-19 vaccination by sub-groups. Methods: An interrupted time series analysis was conducted to examine the impact of COVID-19 on healthcare utilization in South Korea from January 2016 to December 2022 using aggregated patient-level data from the national health insurance system that accounts for 99% of all healthcare services in South Korea. We applied negative binomial models adjusting for seasonality and serial correlation. Falsification tests were conducted to test the validity of breakpoints. Stratified analyses by type of healthcare services, age, sex, income level, health facility type, and avoidable/non-avoidable hospitalizations was performed, and we assessed differences in utilization trends between population groups across three phases of the pandemic. Findings: In early 2020, the COVID-19 pandemic caused a reduction in monthly volume of outpatient utilization by 15.7% [95% CI 13.3%-18.1%, p < 0.001] and inpatient utilization by 11.6% [10.1%-13.0%, p < 0.001]. Most utilization recovered and rebounded to pre-COVID-19 levels as of December 2022 although variations existed. We observed heterogeneity in the magnitude of relative changes in utilization across types of services, varying from a 42.7% [36.8%-48.0%, p < 0.001] decrease for pediatrics, a 23.4% [20.1%-26.5%%, p < 0.001] reduction in utilization of public health centers, and a 24.2% [21.2%-27.0%, p < 0.001] reduction in avoidable hospitalizations compared to the pre-pandemic period. Contrary to global trends, health utilization among the elderly population (65 and older) in South Korea saw only marginal reductions compared to other age groups. Similarly, Medicaid patients and lower income groups experienced a smaller reduction compared to higher income groups. Interpretation: The impact of the COVID-19 pandemic on healthcare utilization in South Korea was less pronounced compared to the global average. Utilization of vulnerable populations, including adults over 65 years old and lowest-income groups reduced less than other type of patients. Funding: No funding.

Evidence-based geriatric knowledge among healthcare providers in Vietnam: adaptation, validation, and pilot of the knowledge about older patients quiz.

BACKGROUND: Vietnam's aging population is growing rapidly, but its health workforce's capacity to provide quality geriatric care is not clearly understood. We aimed to provide a cross-culturally relevant and validated instrument to assess evidence-based geriatric knowledge among healthcare providers in Vietnam. METHODS: We translated the Knowledge about Older Patients Quiz from English to Vietnamese using cross-cultural adaptation methods. We validated the translated version by evaluating its relevance to the Vietnamese context, as well as its semantic and technical equivalence. We fielded the translated instrument on a pilot sample of healthcare providers in Hanoi, Vietnam. RESULTS: The Vietnamese Knowledge about Older Patients Quiz (VKOP-Q) had excellent content validity (S-CVI/Ave) and translation equivalence (TS-CVI/Ave) of 0.94 and 0.92, respectively. The average VKOP-Q score was 54.2% (95% CI: 52.5-55.8) and ranged from 33.3 to 73.3% among 110 healthcare providers in the pilot study. Healthcare providers in the pilot study had low scores on questions related to the physiopathology of geriatric conditions, communication techniques with sensory impaired older adults, and differentiating age related changes from abnormal changes or symptoms. CONCLUSIONS: The VKOP-Q is a validated instrument to assess geriatric knowledge among healthcare providers in Vietnam. The level of geriatric knowledge among healthcare providers in the pilot study was unsatisfactory, which supports the need for further assessment of geriatric knowledge among a nationally representative sample of healthcare providers.

Patient-centered care and geriatric knowledge translation among healthcare providers in Vietnam: translation and validation of the patient-centered care measure.

BACKGROUND: People are living longer, and the majority of aging people reside in low- and middle-income countries (LMICs). However, inappropriate healthcare contributes to health disparities between populations of aging people and leads to care dependency and social isolation. Tools to assess and evaluate the effectiveness of quality improvement interventions for geriatric care in LMICs are limited. The aim of this study was to provide a validated and culturally relevant instrument to assess patient-centered care in Vietnam, where the population of aging people is growing rapidly. METHODS: The Patient-Centered Care (PCC) measure was translated from English to Vietnamese using forward-backward method. The PCC measure grouped activities into sub-domains of holistic, collaborative, and responsive care. A bilingual expert panel rated the cross-cultural relevance and translation equivalence of the instrument. We calculated Content Validity Indexing (CVI) scores at both the item (I-CVI) and scale (S-CVI/Ave) levels to evaluate the relevance of the Vietnamese PCC (VPCC) measure to geriatric care in the Vietnamese context. We piloted the translated instrument VPCC measure with 112 healthcare providers in Hanoi, Vietnam. Multiple logistic regression models were specified to test the a priori null hypothesis that geriatric knowledge is not different among healthcare providers with perception of high implementation compared with low implementation of PCC measures. RESULTS: On the item level, all 20 questions had excellent validity ratings. The VPCC had excellent content validity (S-CVI/Ave of 0.96) and translation equivalence (TS- CVI/Ave of 0.94). In the pilot study, the highest-rated PCC elements were the holistic provision of information and collaborative care, while the lowest-rated elements were the holistic attendance to patients' needs and responsive care. Attention to the psychosocial needs of aging people and poor coordination of care within and beyond the health system were the lowest-rated PCC activities. After controlling for healthcare provider characteristics, the odds of the perception of high implementation of collaborative care were increased by 21% for each increase in geriatric knowledge score. We fail to reject the null hypotheses for holistic care, responsive care and PCC. CONCLUSION: The VPCC is a validated instrument that may be utilized to systemically evaluate the practice of patient-centered geriatric care in Vietnam.

Everyday capabilities were a path to resilience during COVID-19: a case study of five countries.

COVID-19 demanded urgent responses by all countries, with wide variations in the scope and sustainability of those responses. Scholarship on resilience has increasingly emphasized relational considerations such as norms and power and how they influence health systems' responses to evolving challenges. In this study, we explored what influenced countries' national pandemic responses over time considering a country's capacity to test for COVID-19. To identify countries for inclusion, we used daily reports of COVID-19 cases and testing from 184 countries between 21st January 2020 and 31st December 2020. Countries reporting test data consistently and for at least 105 days were included, yielding a sample of 52 countries. We then sampled five countries representing different geographies, income levels and governance structures (Belgium, Ethiopia, India, Israel and Peru) and conducted semi-structured key informant interviews with stakeholders working in, or deeply familiar with, national responses. Across these five countries, we found that existing health systems capacities and political leadership determined how responses unfolded, while emergency plans or pandemic preparedness documents were not fit-for-purpose. While all five countries were successful at reducing COVID-19 infections at a specific moment in the pandemic, political economy factors complicated the ability to sustain responses, with all countries experiencing larger waves of the virus in 2021 or 2022. Our findings emphasize the continued importance of foundational public health and health systems capacities, bolstered by clear leadership and multisectoral coordination functions. Even in settings with high-level political leadership and a strong multisectoral response, informants wished that they-and their country's health system-were more prepared to address the pandemic and maintain an effective response over time. Our findings challenge emergency preparedness as the dominant frame in pandemic preparedness and call for a continued emphasis on health systems strengthening to respond to future health shocks and a pandemic moving to endemic status.

Socioeconomic disparities in healthcare utilization under universal health coverage: evidence from Dubai household health survey.

BACKGROUND: In 2013, Dubai implemented the Insurance System of Advancing Health in Dubai (ISAHD) law which required mandatory health insurance for all residents of Dubai effective in 2016. This study compares the effect of the ISAHD on the utilization and out-of-pocket (OOP) expenditures for low and high socio-economic status sub-groups. METHODS: The study used the 2014 and 2018 Dubai Household Health Survey (DHHS) a representative survey of Dubai stratified as: 1) Nationals; 2) Non-nationals in households; 3) Non-nationals in collective housing; and 4) Non-nationals in labor camps. The probability that each household would have expenditures was calculated, then multiplied by a weighted estimate of the average total OOP expenditure. RESULTS: Overall Dubai's health spending rose from 12.8 billion AED (3.4 billion US $) in 2014 to 16.8 billion AED (4.6 billion US $) in 2017. Concurrently, the OOP share in total health spending in Dubai fell from 25% in 2014 to 13% in 2017. From 2014 to 2018, there were increases in the utilization of inpatient, outpatient and discretionary services for all groups except non-nationals living in camps. In 2018, nationals spent a total of 1064.65 AED, non-nationals in households spent 675.01 AED, collective households spent 82.35 AED, and labor camps spent 100.32 AED out-of-pocket per capita for healthcare expenditures. During and after the implementation of ISAHD, there was a substantial growth in the OOP expenditure per capita for nationals and non-nationals in households due to increased utilization. OOP spending did not rise for the lower-income non-National households. CONCLUSION: Dubai has been successful in reducing the household share of OOP expenditures by shifting the financial burden to government and employers. Emiratis and expatriate households increased their health service utilization after ISAHD but blue-collar workers did not. Remaining non-financial barriers to care for Dubai's blue-collar workers must be identified and addressed.

COVAX and equitable access to COVID-19 vaccines.

Objective: To evaluate equity in the allocation and distribution of vaccines for coronavirus disease 2019 (COVID-19) to countries and territories participating in the COVID-19 Vaccines Global Access (COVAX) Facility. Methods: We used publicly available data on the numbers of COVAX vaccine doses allocated and distributed to 88 countries and territories qualifying for COVAX-sponsored vaccine doses and 60 countries self-financing their vaccine doses facilitated by COVAX. We conducted a benefit-incident analysis to examine the allocation and distribution of vaccines based on countries' gross domestic product (GDP) per capita. We plotted cumulative country-level per capita allocation and distribution of COVID-19 vaccines from COVAX against the ranked per capita GDP of the countries and territories to generate a measure of the equity of COVAX benefits. Findings: By 23 January 2022 the COVAX Facility had allocated a total of 1 678 517 990 COVID-19 vaccine doses, of which 1 028 291 430 (61%) doses were distributed to 148 countries and territories. Taking account of COVAX subsidies, we found that countries and territories with low per capita GDP benefited more than higher-income countries in the numbers of vaccines. The benefits increased further when the analysis was adjusted by population age group (aged 65 years and older). Conclusion: The COVAX Facility is helping to balance global inequities in the allocation and distribution of COVID-19 vaccines. However, COVAX alone has not been enough to reverse the inequality of total COVID-19 vaccine distribution. Future studies could examine the equity of all COVID-19 vaccine allocation and distribution beyond the COVAX-facilitated vaccines.

District-level religious composition and child health in India.

BACKGROUND: Community characteristics are a significant social determinant of child health. Little is known about the effects of social heterogeneity as a specific factor that might impact health. This paper aims to fill the void in research on the health effects of India's district-level religious heterogeneity. METHODS: Weighted state fixed effects multivariate logistic regression was applied to India's Third District Level Household Survey (2007-2008). The dependent variables were death of a child under five and indicators of healthcare utilization. The key independent variables were the proportions in the district who were Hindu, Muslim, Christian, Buddhist, and Sikh. The analysis controlled for generic community diversity, household religion, and socioeconomic status. Separate, sub-group analysis focused on Muslims only, Christians only, and Buddhists only. RESULTS: Multivariate fixed effects models show that a 1% point increase in the proportion of Muslim, Christian, or Buddhist households in a community is associated with respective odds ratios of child death of 1.008, 1.009, and 1.012 of experiencing the death of a child. The impact of a household's own religious affiliation is statistically insignificant in these models. Higher proportions of Muslims and Christians in a community lower the odds of BCG (a vaccine for childhood tuberculosis) receipt and child healthcare-seeking. CONCLUSIONS: Households residing where there are higher levels of religious minorities in India experience worse child survival. These effects are not mediated by the household's own religious affiliation. There is evidence that health system performance and quality is systematically worse in communities with higher proportions of religious minorities. Our study can help policymakers identify communities where children may be at higher risk based on community heterogeneity and the potential for insufficient collective action. Policymakers might consider flagging these communities for special attention, because social heterogeneity is likely to be of long duration.

Estimated impact of the 2020 economic downturn on under-5 mortality for 129 countries.

In low- and middle-income countries (LMICs), economic downturns can lead to increased child mortality by affecting dietary, environmental, and care-seeking factors. This study estimates the potential loss of life in children under five years old attributable to economic downturns in 2020. We used a multi-level, mixed effects model to estimate the relationship between gross domestic product (GDP) per capita and under-5 mortality rates (U5MRs) specific to each of 129 LMICs. Public data were retrieved from the World Bank World Development Indicators database and the United Nations World Populations Prospects estimates for the years 1990-2020. Country-specific regression coefficients on the relationship between child mortality and GDP were used to estimate the impact on U5MR of reductions in GDP per capita of 5%, 10%, and 15%. A 5% reduction in GDP per capita in 2020 was estimated to cause an additional 282,996 deaths in children under 5 in 2020. At 10% and 15%, recessions led to higher losses of under-5 lives, increasing to 585,802 and 911,026 additional deaths, respectively. Nearly half of all the potential under-5 lives lost in LMICs were estimated to occur in Sub-Saharan Africa. Because most of these deaths will likely be due to nutrition and environmental factors amenable to intervention, countries should ensure continued investments in food supplementation, growth monitoring, and comprehensive primary health care to mitigate potential burdens.

Past local government health spending was not correlated with COVID-19 control in US counties.

CONTEXT: Wide variation in state and county health spending prior to 2020 enables tests of whether historically better state and locally funded counties achieved faster control over COVID-19 in the first 6 months of the pandemic in the Unites States prior to federal supplemental funding. OBJECTIVE: We used time-to-event and generalized linear models to examine the association between pre-pandemic state-level public health spending, county-level non-hospital health spending, and effective COVID-19 control at the county level. We include 2,775 counties that reported 10 or more COVID-19 cases between January 22, 2020, and July 19, 2020, in the analysis. MAIN OUTCOME MEASURE: Control of COVID-19 was defined by: (i) elapsed time in days between the 10th case and the day of peak incidence of a county's local epidemic, among counties that bent their case curves, and (ii) doubling time of case counts within the first 30 days of a county's local epidemic for all counties that reported 10 or more cases. RESULTS: Only 26% of eligible counties had bent their case curve in the first 6 months of the pandemic. Government health spending at the county level was not associated with better COVID-19 control in terms of either a shorter time to peak in survival analyses, or doubling time in generalized linear models. State-level public spending on hazard preparation and response was associated with a shorter time to peak among counties that were able to bend their case incidence curves. CONCLUSIONS: Increasing resource availability for public health in local jurisdictions without thoughtful attention to bolstering the foundational capabilities inside health departments is unlikely to be sufficient to prepare the country for future outbreaks or other public health emergencies.

Public health spending, primary care, and perceived risk promoted vaccination against H1N1.

The purpose of this study is to examine factors affecting the intent to vaccinate during the 2009 H1N1 pandemic and to leverage the results to inform public health policy decisions aimed at increasing vaccine uptake during the COVID-19 pandemic. Using the National 2009 H1N1 Flu Survey data and state-level administrative data, we employ logistic regression and mediation models to estimate the association between vaccine uptake and state level public health spending, political ideology, and H1N1 case and death rates as well as a set of individual and household characteristics. We find that higher public health spending can significantly increase the intent to vaccinate, mainly through raising concerns about the pandemic and promoting vaccine relevant doctor patient interactions. We conclude that physicians, especially primary care physicians, should play more important roles in the ongoing vaccination efforts against the COVID-19 virus.

County health outcomes linkage to county spending on social services, building infrastructure, and law and order.

Will counties that reallocate money from law enforcement to social services improve subsequent markers of population wellbeing? In this study, we measure the association between county government spending across multiple sectors and Life Expectancy at Birth (LEB) in the U.S. using data from the U.S. Census Bureau. We constructed a Structural Equation Model to determine whether social expenditure, building infrastructure, and spending on law and order were positively or negatively associated with LEB three-years after initial spending. The analysis compared data between 2002-05 and 2007-10 and was stratified for urban and rural counties. In rural counties, a one-standard-deviation increase in social spending increased subsequent LEB by 0.58 (SE 0.16) and 0.36 (SE 0.16) years in 2005 and 2010, respectively. In urban counties, a one-standard-deviation increase in building infrastructure spending increased subsequent LEB by 1.14 (SE 0.51) and 1.05 (SE 0.49) years in 2005 and 2010, respectively. In 2002, a one-standard-deviation increase in law and order spending significantly decreased subsequent life expectancy, 2.2 (SE 1.27) and 0.46 (SE 0.13) years in urban and rural counties, respectively. Similarly, investments in building infrastructure for urban counties and social services for rural counties were associated with subsequently higher life expectancy three years later after initial investments.

Cost-effectiveness analysis of a large-scale crèche intervention to prevent child drowning in rural Bangladesh.

BACKGROUND: Drowning is the leading cause of death among children 12-59 months old in rural Bangladesh. This study evaluated the cost-effectiveness of a large-scale crèche (daycare) intervention in preventing child drowning. METHODS: The cost of the crèches intervention was evaluated using an ingredients-based approach and monthly expenditure data collected prospectively throughout the study period from two agencies implementing the intervention in different study areas. The estimate of the effectiveness of the crèches intervention was based on a previous study. The study evaluated the cost-effectiveness from both a program and societal perspective. RESULTS: From the program perspective the annual operating cost of a crèche was $416.35 (95% CI: $221 to $576), the annual cost per child was $16 (95% CI: $8 to $23), and the incremental-cost-effectiveness ratio (ICER) per life saved with the crèches was $17,008 (95% CI: $8817 to $24,619). From the societal perspective (including parents time valued) the ICER per life saved was - $166,833 (95% CI: - $197,421 to - $141,341)-meaning crèches generated net economic benefits per child enrolled. Based on the ICER per disability-adjusted-life years averted from the societal perspective (excluding parents time), $1978, the crèche intervention was cost-effective even when the societal economic benefits were ignored. CONCLUSIONS: Based on the evidence, the crèche intervention has great potential for generating net societal economic gains by reducing child drowning at a program cost that is reasonable.

Does social capital increase healthcare financing's projection? Results from the rural household of Uttar Pradesh, India.

In the absence of adequate social security, out-of-pocket health expenditure compels households to adopt coping strategies, such as utilizing savings, selling assets, or acquiring external financial support (EFS) by borrowing with interest. Households' probability of acquiring EFS and its amount (intensity) depends on its social capital - the nature of social relationships and resources embedded within social networks. This study examines the effect of social capital on the probability and intensity of EFS during health events in Uttar Pradesh (UP), India. The analysis used data from a cross-sectional survey of 6218 households, reporting 3066 healthcare events, from two districts of UP. Household heads (HH) reported demographic, socioeconomic, and health-related information, including EFS, for each household member. Self-reported data from Shortened and Adapted Social Capital Assessment Tool in India (SASCAT-I) was used to generate four unique social capital measures (organizational participation, social support, trust, and social cohesion) at HH and community-level, using multilevel confirmatory factor analysis. After descriptive analysis, two-part mixed-effect models were implemented to estimate the probability and intensity of EFS as a function of social capital measures, where multilevel mixed-effects probit regression was used as the first-part and multilevel mixed-effects linear model with log link and gamma distribution as the second-part. Controlling for all covariates, the probability of acquiring EFS significantly increased (p = 0.04) with higher social support of the HH and significantly decreased (p = 0.02) with higher community social cohesion. Conditional to receiving any EFS, higher social trust of the HH resulted in higher intensity of EFS (p = 0.09). Social support and trust may enable households to cope up with financial stress. However, controlling for the other dimensions of social capital, high cohesiveness with the community might restrict a household's access to external resources demonstrating the unintended effect of social capital exerted by formal or informal social control.