Methodological framework for impact evaluation of Building-Integrated Greenery (BIG-impact).

Building-Integrated Greenery systems, i.e., green roofs, walls, and facades, are Nature-based Solutions that make possible the renaturing of cities when there is no room for traditional greenery solutions. These green systems provide several ecosystem services at both the building and city level, such as urban heat island effect mitigation and noise reduction, support for biodiversity, runoff control, thermal and acoustic insulation, etc. However, once implemented in real cases, their impact is almost never evaluated. This fact limits the possibility of carrying out cost-benefit analyses that contribute to justifying their long-term maintenance, thus putting at risk their long-term sustainability and consequently the provision of benefits. Unlike existing approaches, the method presented here offers a comprehensive and practical tool that addresses the gap in BIG systems' impact evaluation, facilitating informed decision-making and promoting the long-term sustainability of BIG systems.•In its design, the current references at European and global level for building-integrated systems impact assessment has been considered.•It is easily replicable in any real project and enables the collaboration of involved stakeholders.•The method is unprecedented and allows a holistic assessment of the impact of BIG in real cases, in terms of ecosystem services provided.

Effect of the national integrated demonstration area for the prevention and control of noncommunicable diseases programme on behavioural risk factors in China: a synthetic difference-in-differences study.

Background: The government-led community-based Chinese National Integrated Demonstration Areas for the Prevention and Control of Noncommunicable Diseases programme was launched in 2011, but no rigorous impact evaluation has been conducted to date. We aimed to evaluate the causal effects of this programme on behavioural risk factors. Methods: We used data from the latest five waves of the China Chronic Disease and Risk Factor Surveillance. The primary outcome is a behavioural risk score combining current smoking, passive smoking, drinking in last month, regular exercise, body mass index, and waist circumference. We applied the synthetic difference-in-differences method and constructed synthetic controls from the non-demonstration areas with the outcome. The average treatment effects on the treated were estimated for overall effect and by short- (1-2), medium- (3-4), and long-term (6-7 years) effects. Findings: We identified 26 demonstration areas (N = 72,193) and 100 non-demonstration areas (N = 275,397). Participants in the demonstration areas had higher education and income levels and different pre-implementation trends than non-demonstration areas. Using synthetic controls instead of non-demonstration areas reduced these pre-implementation differences. Compared to the synthetic controls, declines were observed in current smoking (-1.78% [-4.51%, 0.96%]), passive smoking (-8.09% [-14.27%, -1.90%]), and drinking in last month (-4.04% [-8.75%, 0.67%]) but not in the other factors. Behavioural risk score declined by 1.05 short-term (95% CI: -1.84, -0.26), 1.15 medium-term (95% CI: -2.08, -0.22), 2.82 long-term (95% CI: -4.79, -0.85), and 1.54 overall (95% CI: -2.51, -0.56). Interpretation: The programme improved behavioural risk scores, primarily through reductions in the prevalence of smoking and drinking, and the effect was long-lasting. Our findings provided empirical evidence for utilizing an integrated prevention and control strategy to fight against NCD in China and other countries facing similar challenges. Funding: The China National Key Research and Development Program (2018YFC1315304 and 2017YFC1310902); National Natural Science Foundation of China (81872721).

Using Outcome Harvesting to evaluate socio-economic development and social innovation generated by Social Enterprises in complex areas. The case of BADAEL project in Lebanon.

This paper delves into the utility of Outcome Harvesting as an effective methodology for evaluating development projects that seek to cultivate and advance social enterprises within intricate and multifaceted contexts. Amidst the ever-evolving socio-economic, political, and cultural dynamics characterizing complex environments, traditional evaluation approaches often fall short in capturing the nuanced outcomes of such projects. By adopting Outcome Harvesting, this study argues that evaluators gain a robust tool to systematically collect, analyze, and interpret the intended and unintended impacts of development initiatives in complex and changing contexts. The utilization of mixed methods in the gathering of both primary and secondary data to effectively implement the Outcome Harvesting method has been influenced by overarching theoretical frameworks in the realm of social enterprises. This approach resulted in a comprehensive research methodology that seeks to synergize the strengths of the Outcome Harvesting method within the broader context of understanding and advancing the concept of social entrepreneurship.

Personalized prediction of intradialytic hypotension in clinical practice: Development and evaluation of a novel AI dashboard incorporating risk factors from previous and current dialysis sessions.

BACKGROUND: Intradialytic hypotension (IDH) is one of the most common and critical complications of hemodialysis. Despite many proven factors associated with IDH, accurately predicting it before it occurs for individual patients during dialysis sessions remains a challenge. PURPOSE: To establish artificial intelligence (AI) predictive models for IDH, which consider risk factors from previous and ongoing dialysis to optimize model performance. We then implement a novel digital dashboard with the best model for continuous monitoring of patients' status undergoing hemodialysis. The AI dashboard can display the real-time probability of IDH for each patient in the hemodialysis center providing an objective reference for care members for monitoring IDH and treating it in advance. METHODS: Eight machine learning (ML) algorithms, including Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM), K Nearest Neighbor (KNN), Light Gradient Boosting Machine (LightGBM), Multilayer Perception (MLP), eXtreme Gradient Boosting (XGBoost), and NaiveBayes, were used to establish the predictive model of IDH to determine if the patient will acquire IDH within 60 min. In addition to real-time features, we incorporated several features sourced from previous dialysis sessions to improve the model's performance. The electronic medical records of patients who had undergone hemodialysis at Chi Mei Medical Center between September 1, 2020 and December 31, 2020 were included in this research. Impact evaluation of AI assistance was conducted by IDH rate. RESULTS: The results showed that the XGBoost model had the best performance (accuracy: 0.858, sensitivity: 0.858, specificity: 0.858, area under the curve: 0.936) and was chosen for AI dashboard implementation. The care members were delighted with the dashboard providing real-time scientific probabilities for IDH risk and historic predictive records in a graphic style. Other valuable functions were appended in the dashboard as well. Impact evaluation indicated a significant decrease in IDH rate after the application of AI assistance. CONCLUSION: This AI dashboard provides high-quality results in IDH risk prediction during hemodialysis. High-risk patients for IDH will be recognized 60 min earlier, promoting individualized preventive interventions as part of the treatment plan. Our approachis believed to promise an excellent way for IDH management.

COVID-19 Resilience and Risk Reduction Intervention in Rural Populations of Western India: Retrospective Evaluation.

BACKGROUND: Globally, especially in the low- and middle-income countries (LMICs), rural populations were more susceptible to the negative impact of the COVID-19 pandemic due to lower levels of community awareness, poor hygiene, and health literacy accompanying pre-existing weak public health systems. Consequently, various community-based interventions were engineered in rural regions worldwide to mitigate the COVID-19 pandemic by empowering people to mount both individual and collective public health responses against the pandemic. However, to date, there is paucity of information on the effectiveness of any large-scale community intervention in controlling and mitigating the effects of COVID-19, especially from the perspective of LMICs. OBJECTIVE: This retrospective impact evaluation study was conducted to evaluate the effect of a large-scale rural community-based intervention, the COVID-Free Village Program (CFVP), on COVID-19 resilience and control in rural populations in Maharashtra, India. METHODS: The intervention site was the rural areas of the Pune district where CFVP was implemented from August 2021 to February 2022, while the adjoining district, Satara, represented the control district where the COVID-Free Village Scheme was implemented. Data were collected during April-May 2022 from 3500 sample households in villages across intervention and comparison arms by using the 2-stage stratified random sampling through face-to-face interviews followed by developing a matched sample using propensity score matching methods. RESULTS: The participants in Pune had a significantly higher combined COVID-19 awareness index by 0.43 (95% CI 0.29-0.58) points than those in Satara. Furthermore, the adherence to COVID-appropriate behaviors, including handwashing, was 23% (95% CI 3%-45%) and masking was 17% (0%-38%) higher in Pune compared to those in Satara. The probability of perception of COVID as a serious illness in patients with heart disease was 22% (95% CI 1.036-1.439) higher in Pune compared to that in Satara. The awareness index of COVID-19 variants and preventive measures were also higher in Pune by 0.88 (95% CI 0.674-1.089) points. In the subgroup analysis, when the highest household educational level was restricted to middle school, the awareness about the COVID-control program was 0.69 (95% CI 0.36-1.021) points higher in Pune, while the awareness index of COVID-19 variants and preventive measures was higher by 0.45 (95% CI 0.236-0.671) points. We did not observe any significant changes in the overall COVID-19 vaccination coverage due to CFVP implementation. Furthermore, the number of COVID-19 deaths in both the sampled populations were very low. The probability of observing COVID-19-related stigma or discrimination in Pune was 68% (95% CI 0.133-0.191) lower than that in Satara. CONCLUSIONS: CFVP contributed to improved awareness and sustainability of COVID-appropriate behaviors in a large population although there was no evidence of higher COVID-19 vaccination coverage or reduction in mortality, signifying potential applicability in future pandemic preparedness, especially in resource-constrained settings.

Hope Groups: a protocol for a cluster randomized controlled trial of psychosocial, mental health, and parenting support groups for Ukrainian caregivers during war and conflict.

BACKGROUND: In 2021, more than two-thirds of the world's children lived in a conflict-affected country. In 2022, 13 million Ukrainians were forced to flee their homes after Russia's full-scale invasion. Hope Groups are a 12-session psychosocial, mental health, and parenting support intervention designed to strengthen parents, caregivers, and children affected by war and crisis. The primary objective of this study is to evaluate the effectiveness of Hope Groups among Ukrainians affected by war, compared to a wait-list control group. This protocol describes a promising decentralized intervention delivery model and an innovative research design, which estimates the causal effect of Hope Groups while prioritizing prompt delivery of beneficial services to war-affected participants. METHODS: This protocol describes a pragmatic cluster randomized controlled trial (RCT) among Ukrainians externally displaced, internally displaced within Ukraine, and living at home in war-affected areas. This study consists of 90 clusters with 4-7 participants per cluster, totaling approximately n = 450 participants. Intervention clusters will receive 12-session Hope Groups led by peer facilitators, and control clusters will be wait-listed to receive the intervention after the RCT concludes. Clusters will be matched on the facilitator performing recruitment and intervention delivery. Primary outcomes are caregiver mental health, violence against children, and positive parenting practices. Secondary outcomes include prevention of violence against women and caregiver and child well-being. Outcomes will be based on caregiver report and collected at baseline and endline (1-week post-intervention). Follow-up data will be collected among the intervention group at 6-8 weeks post-intervention, with aims for quasi-experimental follow-ups after 6 and 12 months, pending war circumstances and funding. Analyses will utilize matching techniques, Bayesian interim analyses, and multi-level modeling to estimate the causal effect of Hope Groups in comparison to wait-list controls. DISCUSSION: This study is the first known randomized trial of a psychosocial, mental health, and parenting intervention among Ukrainians affected by war. If results demonstrate effectiveness, Hope Groups hold the potential to be adapted and scaled to other populations affected by war and crisis worldwide. Additionally, methodologies described in this protocol could be utilized in crisis-setting research to simultaneously prioritize the estimation of causal effects and prompt delivery of beneficial interventions to crisis-affected populations. TRIAL REGISTRATION: This trial was registered on Open Science Framework on November 9, 2023. REGISTRATION: OSF.IO/UVJ67 .

Hospital accreditation in Mexico fails to improve the quality of healthcare: lessons from an impact evaluation.

Healthcare quality in low- and middle-income countries poses a significant challenge, contributing to heightened mortality rates from treatable conditions. The accreditation of health facilities was part of the former health reform in Mexico, proposed as a mechanism to enhance healthcare quality. This study assesses the performance of hospital accreditation in Mexico, utilizing indicators of effectiveness, efficiency, and safety. Employing a longitudinal approach with controlled interrupted time series analysis (C-ITSA) and fixed effects panel analysis, administrative data from general hospitals in Mexico is scrutinized. Results reveal that hospital accreditation in Mexico fails to enhance healthcare quality and, disconcertingly, indicates deteriorating performance associated with increased hospital mortality. Amidst underfunded health services, the implemented accreditation model proves inadequately designed to uplift care quality. A fundamental redesign of the public hospital accreditation model is imperative, emphasizing incentives for structural enhancement and standardized processes. Addressing the critical challenge of improving care quality is urgent for Mexico's healthcare system, necessitating swift action to achieve effective access as a benchmark for universal healthcare coverage.

Impact of Suaahara, an at-scale multisectoral nutrition programme, on health workers' maternal and child health, and nutrition knowledge and skills in Nepal.

Suaahara, an at-scale multisectoral nutrition programme in Nepal, aimed to advance knowledge and skills of frontline health workers to improve the quality of nutrition and health services at health facility and community levels. This study assessed the impact of Suaahara interventions on knowledge and skills of health facility workers and Female Community Health Volunteers (FCHVs). The study used a quasi-experimental design in which four Suaahara intervention districts were compared with pair-matched comparison districts. One health facility worker and three FCHVs from each survey cluster were included. Baseline survey consisted of 93 health facility workers (2015) and 118 FCHVs (2012), and endline survey (2022) consisted of 40 health facility workers and 120 FCHVs. Difference-in-differences regression models employing intent-to-treat analysis, accounting for clustering at the district level, assessed the impact of intervention. The intervention, relative to comparison, had no effect on health facility workers' knowledge. There was a positive effect, however, on FCHVs' knowledge in intervention relative to comparison areas on exclusive breastfeeding, timing of introduction of complementary feeding, sick child feeding and growth monitoring and promotion (GMP) for children under 2 years. Health facility workers and FCHVs in intervention versus comparison districts had higher endline scores for skills related to measuring the weight of children and pregnant women, measuring the height/length of children, conducting GMP for children under 2 years and identifying malnourished children. Suaahara interventions improved the capacity of health workers, particularly nutrition-related knowledge among FCHVs and GMP-related skills of both health facility workers and FCHVs.

Impact of the Universal Implementation of Adolescent Hepatitis B Vaccination in Spain.

The aim of this study was to analyse the impact of the introduction of universal adolescent HBV vaccination on the incidence of acute hepatitis B virus (HBV) infections. Acute HBV cases reported to the Spanish National Epidemiological Surveillance Network between 2005 and 2021 were included. For regions starting adolescent vaccination in 1991-1993 and in 1994-1996, HBV incidence rates were compared by calculating the incidence rate ratio (IRR) and 95% confidence interval (CI). We also analysed the 2017 Spanish national seroprevalence survey data. The overall acute HBV incidence per 100,000 persons was 1.54 in 2005 and 0.64 in 2021 (p < 0.001). The incidence in 2014-2021 was lower for regions that started adolescent vaccination in 1991-1993 rather than in 1994-1996 (IRR 0.76; 95% CI 0.72-0.83; p < 0.001). In the 20-29 age group, incidence in regions that started adolescent vaccination in 1991-1993 was also lower (IRR 0.87; 95% CI 0.77-0.98; p = 0.02 in 2005-2013 and IRR 0.71; 95% CI 0.56-0·90; p < 0.001 in 2014-2021). Anti-HBc prevalence in the 35-39 age group was lower in the regions that started vaccination earlier, although the difference was not statistically significant (p = 0.09). Acute HBV incidence decreased more in the young adult population in regions that began adolescent vaccination earlier. Maintaining high universal vaccination coverage in the first year of life and in at-risk groups is necessary to achieve HBV elimination by 2030.

Evaluating the impact of the Community Helpers Program on adolescents 12-18 years old in Edmonton, Canada.

INTERVENTION: Alberta Health Services (AHS) Community Helpers Program (CHP) to enhance mental health among youth. RESEARCH QUESTION: Identifying the impact of CHP on mental illness-related acute care use among adolescents aged 12-18 years in Edmonton and determining cost avoidance. METHODS: Using administrative data from AHS, public school catchment area data from the Edmonton Public School Board, and area-level socioeconomic deprivation status indicators from the Pampalon deprivation index, we applied geographical regression discontinuity design to estimate the effect of CHP implementation on depression-, anxiety-, and suicide-related acute care use (emergency department visits and inpatient admissions). Cost data were derived from Interactive Health Data Application of Alberta Health. The study period (2002-2022) included pre (2002-2011) and post (2012-2020) CHP implementation periods. RESULTS: CHP had statistically significant impact when distance from the boundary (catchment area identifier to divide the sample into treated and control groups) was between 600 and 800 m. About 90 and 80 fewer anxiety- and depression-related visits (per 1000 visits) were observed among individuals aged 12-15 and 16-18 years, respectively, in catchment areas of the public schools where CHP was implemented. Impact of CHP on suicide-related visits was only statistically significant among individuals aged 12-15 years. Annual cost reduction ranged from $161,117 to $269,255 for anxiety- and depression-related visits. CONCLUSION: Findings show contextual effect of CHP; i.e., being potentially exposed to the program reduced the likelihood of anxiety- and depression-related visits. Costs of CHP implementation could be compared with the avoided costs to assess economic benefits of implementing CHP.

RéSUMé: INTERVENTION: Le Programme d'aidants communautaires (CHP, Community Helpers Program) des Alberta Health Services (AHS) sert à améliorer la santé mentale des jeunes de l'Alberta. SUJET DE LA RECHERCHE: Déterminer l'incidence du CHP sur l'utilisation des soins de courte durée liés à la maladie mentale chez les adolescents d'Edmonton âgés de 12 à 18 ans et l'évitement des coûts. MéTHODES: Utilisant les données administratives des AHS, les données sur les zones d'implantation du conseil des écoles publiques d'Edmonton et les indicateurs de pauvreté socioéconomique au niveau régional de l'indice de défavorisation de Pampalon, nous avons appliqué un plan de discontinuité de la régression géographique pour estimer l'effet de la mise en œuvre du CHP sur l'utilisation des soins de courte durée liés à la dépression, à l'anxiété et au suicide (visites aux services d'urgence et admissions de patients hospitalisés). Les données relatives au coût ont été calculées à partir de l'application interactive des données sur la santé du ministère de la Santé de l'Alberta. La période de l'étude (2002-2022) inclut les périodes précédant (2002-2011) et suivant (2012-2020) la mise en œuvre du CHP. RéSULTATS: Le CHP a eu une incidence statistiquement significative lorsque la distance de la limite (identificateur de la zone d'implantation pour diviser l'échantillon en groupes traités et témoins) était entre 600 et 800 mètres. Environ 90 et 80 visites de moins, liées à l'anxiété et à la dépression (pour 1 000 visites), ont été observées chez les personnes de 12 à 15 ans et de 16 à 18 ans, respectivement dans les zones d'implantation des écoles publiques où le CHP a été mis en œuvre. L'incidence du CHP sur les visites liées au suicide n'était statistiquement significative que chez les personnes de 12 à 15 ans. La réduction annuelle des coûts variait de 161 117 $ à 269 255 $ pour les visites liées à l'anxiété et à la dépression. CONCLUSION: Les résultats montrent qu'un effet contextuel du CHP, c.-à-d. le fait d'être potentiellement exposé au programme, réduit la probabilité de visites liées à l'anxiété et à la dépression. Le coût de la mise en œuvre du CHP comparé aux coûts évités permet d'évaluer les avantages économiques de la mise en œuvre du CHP.

An intersectionality framework for identifying relevant covariates in health equity research.

Introduction: Health equity research uses impact evaluations to estimate the effectiveness of new interventions that aim to mitigate health inequities. Health inequities are influenced by many experiential factors and failure of research to account for such experiential factors and their potential interactions may jeopardize findings and lead to promoted methods that may unintentionally sustain or even worsen the targeted health inequity. Thus, it is imperative that health equity impact evaluations identify and include variables related to the circumstances, conditions, and experiences of the sample being studied in analyses. In this review, we promote intersectionality as a conceptual framework for brainstorming important yet often overlooked covariates in health equity related impact evaluations. Methods: We briefly review and define concepts and terminology relevant to health equity, then detail four domains of experiential factors that often intersect in ways that may obscure findings: Biological, Social, Environmental, and Economic. Results: We provide examples of the framework's application to lupus-related research and examples of covariates used in our own health equity impact evaluations with minority patients who have lupus. Discussion: Applying an intersectionality framework during covariate selection is an important component to actualizing precision prevention. While we do not provide an exhaustive list, our aim is to provide a springboard for brainstorming meaningful covariates for health equity evaluation that may further help unveil sustainable solutions to persisting health inequities.

Interplay of management and environmental drivers shifts size structure of reef fish communities.

Countries are expanding marine protected area (MPA) networks to mitigate fisheries declines and support marine biodiversity. However, MPA impact evaluations typically assess total fish biomass. Here, we examine how fish biomass disaggregated by adult and juvenile life stages responds to environmental drivers, including sea surface temperature (SST) anomalies and human footprint, and multiple management types at 139 reef sites in the Mesoamerican Reef (MAR) region. We found that total fish biomass generally appears stable across the region from 2006 to 2018, with limited rebuilding of fish stocks in MPAs. However, the metric of total fish biomass masked changes in fish community structure, with lower adult than juvenile fish biomass at northern sites, and adult:juvenile ratios closer to 1:1 at southern sites. These shifts were associated with different responses of juvenile and adult fish to environmental drivers and management. Juvenile fish biomass increased at sites with high larval connectivity and coral cover, whereas adult fish biomass decreased at sites with greater human footprint and SST anomalies. Adult fish biomass decreased primarily in Honduran general use zones, which suggests insufficient protection for adult fish in the southern MAR. There was a north-south gradient in management and environmental drivers, with lower coverage of fully protected areas and higher SST anomalies and coastal development in the south that together may undermine the maintenance of adult fish biomass in the southern MAR. Accounting for the interplay between environmental drivers and management in the design of MPAs is critical for increasing fish biomass across life history stages.

Los países están ampliando las redes de áreas marinas protegidas (AMP) para mitigar la disminución de las pesquerías y apoyar la biodiversidad marina. Sin embargo, las evaluaciones de impacto de las AMP típicamente estudian la biomasa total de peces. Aquí, examinamos cómo la biomasa de peces desagregada por etapas de vida adultas y juveniles responde a factores ambientales como anomalías de la temperatura superficial del mar (SST) e impacto humano, y múltiples tipos de manejo en 139 sitios de arrecifes en el sistema arrecifal mesoamericano (SAM). Encontramos que la biomasa total de peces en general parece estable en toda la región entre 2006 y 2018, con una recuperación limitada de las poblaciones de peces en las AMP. Sin embargo, la métrica de biomasa total de peces enmascaró los cambios en la estructura de la comunidad de peces, con una biomasa de peces adultos más baja que juveniles en los sitios del norte, y proporciones adulto:juvenil más cercana a 1:1 en los sitios del sur. Estos cambios fueron asociados con diferentes respuestas de peces juveniles y adultos a variables ambientales y de manejo. La biomasa de peces juveniles aumentó en sitios con alta conectividad larvaria y cobertura coralina, mientras que la biomasa de peces adultos disminuyó en sitios con mayor impacto humano y anomalías en la SST. La biomasa de peces adultos disminuyó principalmente en las zonas de uso general (GUZ) hondureñas, lo cual sugiere una protección insuficiente para peces adultos en el sur del SAM. Hubo un gradiente norte­sur en el manejo y los factores ambientales, con menor cobertura de áreas totalmente protegidas y mayores anomalías de SST y desarrollo costero en el sur. En conjunto esto puede degradar el mantenimiento de la biomasa de peces adultos en el sur del SAM. La interacción entre factores ambientales y el manejo en el diseño de las AMP es fundamental para aumentar la biomasa de peces en todas las etapas del ciclo de vida.

Beyond the average effect of the innovation subsidies: Using case selection via matching to break impasse in delivering useful advice to policy makers.

Experts and stakeholders promote the combined use of counterfactual and theory-based approaches in program evaluation. We illustrated combined application of these two approaches in a single evaluation study of innovation subsidies, using "case selection via matching" and follow-up in-depth interviews. We conducted interviews in contrasting pairs of companies-one successful and one unsuccessful-which were otherwise similar on a defined set of covariates. Our procedure helped to reveal factors, which might be overlooked or simply not available in data at hand and hence not accounted for in analyses of the intervention effects. As such it extends beyond the average effect estimate to highlight causes of an intervention success or failure.

Assessing the Effectiveness of a Multicomponent Intervention on Hand Hygiene and Well-Being in Primary Health Care Centers and Schools Lacking Functional Water Supply in Protracted Conflict Settings: Protocol for a Cluster Randomized Controlled Trial.

BACKGROUND: Hand hygiene is crucial in health care centers and schools to avoid disease transmission. Currently, little is known about hand hygiene in such facilities in protracted conflict settings. OBJECTIVE: This protocol aims to assess the effectiveness of a multicomponent hand hygiene intervention on handwashing behavior, underlying behavioral factors, and the well-being of health care workers and students. Moreover, we report our methodology and statistical analysis plan transparently. METHODS: This is a cluster randomized controlled trial with 2 parallel arms taking place in 4 countries for 1 year. In Burkina Faso and Mali, we worked in 24 primary health care centers per country, whereas in Nigeria and Palestine, we focused on 26 primary schools per country. Facilities were eligible if they were not connected to a functioning water source but were deemed accessible to the implementation partners. Moreover, health care centers were eligible if they had a maternity ward and ≥5 employees, and schools if they had ≤7000 students studying in grades 5 to 7. We used covariate-constrained randomization to assign intervention facilities that received a hardware, management and monitoring support, and behavior change. Control facilities will receive the same or improved intervention after endline data collection. To evaluate the intervention, at baseline and endline, we used a self-reported survey, structured handwashing observations, and hand-rinse samples. At follow-up, hand-rinse samples were dropped. Starting from the intervention implementation, we collected longitudinal data on hygiene-related health conditions and absenteeism. We also collected qualitative data with focus group discussions and interviews. Data were analyzed descriptively and with random effect regression models with the random effect at a cluster level. The primary outcome for health centers is the handwashing rate, defined as the number of times health care workers performed good handwashing practice with soap or alcohol-based handrub at one of the World Health Organization 5 moments for hand hygiene, divided by the number of moments for hand hygiene that presented themselves during the patient interaction within an hour of observation. For schools, the primary outcome is the number of students who washed their hands before eating. RESULTS: The baseline data collection across all countries lasted from February to June 2023. We collected data from 135 and 174 health care workers in Burkina Faso and Mali, respectively. In Nigeria, we collected data from 1300 students and in Palestine from 1127 students. The endline data collection began in February 2024. CONCLUSIONS: This is one of the first studies investigating hand hygiene in primary health care centers and schools in protracted conflict settings. With our strong study design, we expect to support local policy makers and humanitarian organizations in developing sustainable agendas for hygiene promotion. TRIAL REGISTRATION: ClinicalTrials.gov NCT05946980 (Burkina Faso and Mali); https://www.clinicaltrials.gov/study/NCT05946980 and NCT05964478 (Nigeria and Palestine); https://www.clinicaltrials.gov/study/NCT05964478. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/52959.

Chronic health conditions and their impact on the labor market. A cross-country comparison in Europe.

Objectives: To estimate the effect of having a chronic disease on the weekly working hours and the associated monetary losses. Design: Longitudinal data Survey of Health, Aging and Retirement (SHARE) in Europe. We analyzed 7 waves from 9 countries in Europe. A total of 80.672 observations. Setting: Participants who have their regular domicile in the respective SHARE country were interviewed face-to-face. Participants: Data from individuals aged between 50 and 65 years old in European countries were collected over seven years. A person was excluded from the survey if incarcerated, hospitalized or out of the country during the entire survey period, unable to speak the country's language(s) or moved to an unknown address. Interventions: Not applicable. Main outcome measurements: We applied a difference-in-differences with multiple time periods approach to estimate the effect of having a chronic condition on the number of working hours per week. We monetized the estimated productivity losses using the legal minimum wage in each country. Results: Persons with a chronic condition consistently reduced their weekly working hours compared to their healthy counterparts in the same country. This effect was more pronounced for men (6,78 hours per week or 352 hours per year) than women (3,97 hours per week or 206 hours per year). Persons with stroke, vascular, and lung disease showed the highest impact. On average, the reduced working hours represent about USD 12,80 billion annually in productivity losses in our sample. Conclusion: Having a chronic condition leads to people decreasing their working hours, which has significant economic losses. More severe health conditions showed the highest effects. This trend is observed in all the analyzed countries, highlighting the relevance of health and social systems to go beyond mortality and morbidity and the need to incorporate functioning in their target goals.

"Measuring the health and fiscal outcomes of solid waste management operations by intergovernmental arrangements: The case of public consortia in Brazil".

This study estimates the health-related and public expenditure impacts of the solid waste services provided by public consortia in Brazilian Municipalities from the enactment of Public Consortia law (2005) to 2019. To conduct the analysis, we applied the econometric method of staggered difference-in-differences to publicly available datasets at the municipality level. The results show that the operation of solid waste services by public consortia had statistically significant effects in reducing hospitalizations caused by Schistosomiasis, Diarrhea/gastroenteritis (up to 5 years age) and other intestinal diseases. The results also indicate a positive impact on the reduction of environmental expenses in treated municipalities, supporting the idea that a Solid Waste Consortium can serve as a local coordinator and improve health and fiscal indicators simultaneously. The findings provide quantitative evidence that policymakers at the local and regional level can use to better understand the benefits of adhering to public consortia when preparing new investments and operation developments for this sector. This paper contributes to the literature of applied research in solid waste by shedding light on the underexplored theme of the intergovernmental cooperative arrangements, which can be instrumental in accelerating and enhancing the development of solid waste services.

Impact and process evaluation of a primary-school Food Education and Sustainability Training (FEAST) program in 10-12-year-old children in Australia: pragmatic cluster non-randomized controlled trial.

BACKGROUND: Environmentally sustainable food initiatives accompanying nutrition education, such as the Food Education and Sustainability Training (FEAST) program, have gained traction in school settings. The aim of this trial was to conduct an impact and process evaluation of FEAST, to evaluate its effect on children's fruit and vegetable (F&V) intakes, and secondary outcomes: F&V variety consumed, nutrition knowledge, food preparation/cooking skills, self-efficacy and behaviours, food waste knowledge and behaviours, and food production knowledge. METHODS: FEAST was a 10-week curriculum-aligned program, designed to educate children about healthy eating, food waste, and sustainability, while teaching cooking skills. It was implemented by classroom teachers, face-to-face and online, during COVID-19 school closures, in Australia in 2021. A custom designed survey was used to collect baseline and post-intervention data from students. Generalised linear mixed models (GLMM) estimated group differences in pre-post changes for primary and secondary outcomes. Surveys were also administered to students and teachers to evaluate intervention implementation. RESULTS: Twenty schools participated and self-selected to be either intervention schools (n = 10) or wait-list control (WLC) schools (n = 10). A total of 977, 5th and 6th grade children participated in the trial with a mean age of 11.1 years (SD ± 0.7). The FEAST intervention, compared to WLC, did not result in significant increases in primary outcomes nor secondary outcomes. The process evaluation revealed FEAST was well-received by students and teachers, but COVID-19 school closures hindered implementation fidelity with a less intense program delivered under the constraints of pandemic lockdowns. CONCLUSIONS: This is the first cluster non-randomized controlled trial designed to independently evaluate FEAST in the primary-school setting. No evidence was found for improved F&V intakes in children, nor secondary outcomes. However, the positive process evaluation results suggest that further trials of the program are warranted. If implemented as originally designed (pre-pandemic), with increased duration and complemented by supporting school policies, such programs have the potential to improve children's daily F&V intakes, cooking skills and food waste behaviours. This would support the Australian curriculum and contribute to: health promotion within schools and sustainable schools initiatives, the national agenda to reduce food waste and sustainable development goals. AUSTRALIAN AND NEW ZEALAND CLINICAL TRIALS REGISTRY: [ACTRN12620001347954]- Registered prospectively on 14/12/2020.

Laboratory Data Timeliness and Completeness Improves Following Implementation of an Electronic Laboratory Information System in Côte d'Ivoire: Quasi-Experimental Study on 21 Clinical Laboratories From 2014 to 2020.

BACKGROUND: The Ministry of Health in Côte d'Ivoire and the International Training and Education Center for Health at the University of Washington, funded by the United States President's Emergency Plan for AIDS Relief, have been collaborating to develop and implement the Open-Source Enterprise-Level Laboratory Information System (OpenELIS). The system is designed to improve HIV-related laboratory data management and strengthen quality management and capacity at clinical laboratories across the nation. OBJECTIVE: This evaluation aimed to quantify the effects of implementing OpenELIS on data quality for laboratory tests related to HIV care and treatment. METHODS: This evaluation used a quasi-experimental design to perform an interrupted time-series analysis to estimate the changes in the level and slope of 3 data quality indicators (timeliness, completeness, and validity) after OpenELIS implementation. We collected paper and electronic records on clusters of differentiation 4 (CD4) testing for 48 weeks before OpenELIS adoption until 72 weeks after. Data collection took place at 21 laboratories in 13 health regions that started using OpenELIS between 2014 and 2020. We analyzed the data at the laboratory level. We estimated odds ratios (ORs) by comparing the observed outcomes with modeled counterfactual ones when the laboratories did not adopt OpenELIS. RESULTS: There was an immediate 5-fold increase in timeliness (OR 5.27, 95% CI 4.33-6.41; P<.001) and an immediate 3.6-fold increase in completeness (OR 3.59, 95% CI 2.40-5.37; P<.001). These immediate improvements were observed starting after OpenELIS installation and then maintained until 72 weeks after OpenELIS adoption. The weekly improvement in the postimplementation trend of completeness was significant (OR 1.03, 95% CI 1.02-1.05; P<.001). The improvement in validity was not statistically significant (OR 1.34, 95% CI 0.69-2.60; P=.38), but validity did not fall below pre-OpenELIS levels. CONCLUSIONS: These results demonstrate the value of electronic laboratory information systems in improving laboratory data quality and supporting evidence-based decision-making in health care. These findings highlight the importance of OpenELIS in Côte d'Ivoire and the potential for adoption in other low- and middle-income countries with similar health systems.

Pragmatic trial evaluating the impact of simulation training on high-risk prescribing to older adults by junior physicians.

BACKGROUND: High-risk medications like benzodiazepines, sedative hypnotics, and antipsychotics are commonly prescribed for hospitalized older adults, despite guidelines recommending avoidance. Prior interventions have not fully addressed how physicians make such prescribing decisions, particularly when experiencing stress or cognitive overload. Simulation training may help improve prescribing decision-making but has not been evaluated for overprescribing. METHODS: In this two-arm pragmatic trial, we randomized 40 first-year medical resident physicians (i.e., interns) on inpatient general medicine services at an academic medical center to either intervention (a 40-minute immersive simulation training) or control (online educational training) groups. The primary outcome was the number of new benzodiazepine, sedative hypnotic, or antipsychotic orders for treatment-naïve older adults during hospitalization. Secondary outcomes included the same outcome by all providers, being discharged on one of the medications, and orders for related or control medications. Outcomes were measured using electronic health record data over each intern's service period (~2 weeks). Outcomes were evaluated using generalized estimating equations, adjusting for clustering. RESULTS: In total, 522 treatment-naïve older adult patients were included in analyses. Over follow-up, interns prescribed ≥1 high-risk medication for 13 (4.9%) intervention patients and 13 (5.0%) control patients. The intervention led to no difference in the number of new prescriptions (Rate Ratio [RR]: 0.85, 95%CI: 0.31-2.35) versus control and no difference in secondary outcomes. In secondary analyses, intervention interns wrote significantly fewer "as-needed" ("PRN") order types for the high-risk medications (RR: 0.29, 95%CI: 0.08-0.99), and instead tended to write more "one-time" orders than control interns, though this difference was not statistically significant (RR: 2.20, 95%CI: 0.60-7.99). CONCLUSIONS: Although this simulation intervention did not impact total high-risk prescribing for hospitalized older adults, it did influence how the interns prescribed, resulting in fewer PRN orders, suggesting possibly greater ownership of care. Future interventions should consider this insight and implementation lessons raised. TRIAL REGISTRATION: Clinicaltrials.gov(NCT04668248).

Maternal health care utilization following the implementation of the free maternal health care policy in Ghana: analysis of Ghana demographic and health surveys 2008-2014.

BACKGROUND: In July 2008, Ghana introduced a 'free' maternal health care policy (FMHCP) through the national health insurance scheme (NHIS) to provide comprehensive antenatal, delivery and post-natal care services to pregnant women. In this study, we evaluated the 'free' policy impact on antenatal care uptake and facility-level delivery utilization since the policy inception. METHODS: The study used two rounds of repeated cross-sectional data from the Ghana Demographic and Health Survey (GDHS, 2008-2014) and constructed exposure variable of the FMHCP using mothers' national health insurance status as a proxy variable and another group of mothers who did not subscribe to the policy. We then generated the propensity scores of the two groups, ex-post, and matched them to determine the impact of the 'free' maternal health care policy as an intervention on antenatal care uptake and facility-level delivery utilization, using probit and logit models. RESULTS: Antenatal care uptake and facility-level delivery utilization increased by 8 and 13 percentage points difference, observed coefficients; 0.08; CI: 95% [0.06-0.10]; p < 0.001 and 0.13; CI: 95% [0.11-0.15], p < 0.001, respectively. Pregnant women were 1.97 times more likely to make four plus [a WHO recommended number of visits at the time] antenatal care visits and 1.87 times more likely to give birth in a health care facility of any level in Ghana between 2008 and 2104; aOR = 1.97; CI: 95% [1.61-2.4]; p < 0.001 and aOR = 1.87; CI: 95% [1.57-2.23]; p < 0.001, respectively. CONCLUSIONS: Antenatal care uptake and facility-level delivery utilization improved significantly in Ghana indicating a positive impact of the FMHCP on maternal health care utilization in Ghana since its implementation.