Abortion Legal Reform and Neonatal Mortality in Mozambique.

INTRODUCTION: Abortion law reforms have been hypothesized to influence reproductive, maternal, and neonatal health services and health outcomes, as well as social inequalities in health. In 2014, Mozambique legalized abortion in specific circumstances. However, due to challenges implementing the law, there is concern that it may have negatively influenced neonatal outcomes. METHODS: Using a difference-in-differences design, we used birth history data collected via the Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) between 2004 and 2018 to assemble a panel of 476 939 live births across 17 countries including Mozambique. We estimated the effect of the abortion reform on neonatal mortality by comparing Mozambique to a series of control countries that did not change their abortion policies. We also conducted stratified analyses to examine heterogeneity in effect estimates by household wealth, educational attainment, and rural/urban residence. RESULTS: The reform was associated with an additional 5.6 (95% CI = 1.3, 9.9) neonatal deaths per 1,000 live birth. There was evidence of a differential effect of the reform, with a negative effect of the reform on neonatal outcomes for socially disadvantaged women, including those with no schooling, in poorer households, and living in rural areas. DISCUSSION: Given the delay in implementation, our analyses suggest that abortion reform in Mozambique was associated with an initial increase in neonatal mortality particularly among socially disadvantaged women. This may be due to the delay in effective implementation, including the dissemination of clear guidelines and expansion of safe abortion services. Longer-term follow-up is needed to assess the impact of the reform after 2018, when services were expanded. Abortion legal reform without adequate implementation and enforcement is unlikely to be sufficient to improve abortion access and health outcomes.

Indole clubbed 2,4-thiazolidinedione linked 1,2,3-triazole as a potent antimalarial and antibacterial agent against drug-resistant strain and molecular modeling studies.

In the face of escalating challenges of microbial resistance strains, this study describes the design and synthesis of 5-({1-[(1H-1,2,3-triazol-4-yl)methyl]-1H-indol-3-yl}methylene)thiazolidine-2,4-dione derivatives, which have demonstrated significant antimicrobial properties. Compared with the minimum inhibitory concentrations (MIC) values of ciprofloxacin on the respective strains, compounds 5a, 5d, 5g, 5l, and 5m exhibited potent antibacterial activity with MIC values ranging from 16 to 25 µM. Almost all the synthesized compounds showed lower MIC compared to standards against vancomycin-resistant enterococcus and methicillin-resistant Staphylococcus aureus strains. Additionally, the majority of the synthesized compounds demonstrated remarkable antifungal activity, against Candida albicans and Aspergillus niger, as compared to nystatin, griseofulvin, and fluconazole. Furthermore, the majority of compounds exhibited notable inhibitory effects against the Plasmodium falciparum strain, having IC50 values ranging from 1.31 to 2.79 µM as compared to standard quinine (2.71 µM). Cytotoxicity evaluation of compounds 5a-q on SHSY-5Y cells at up to 100 µg/mL showed no adverse effects. Comparison with control groups highlights their noncytotoxic characteristics. Molecular docking confirmed compound binding to target active sites, with stable protein-ligand complexes displaying drug-like molecules. Molecular dynamics simulations revealed dynamic stability and interactions. Rigorous tests and molecular modeling unveil the effectiveness of the compounds against drug-resistant microbes, providing hope for new antimicrobial compounds with potential safety.

A Causal Mediation Analysis for Investigating the Effect of a Randomized Cash-Transfer Program in Nicaragua.

Mediation analysis can be applied to data from randomized trials of health and social interventions to draw causal inference concerning their mechanisms. We used data from a cluster-randomized trial in Nicaragua, fielded between 2000 and 2002, to investigate whether the impact of providing access to a conditional cash-transfer program on child nutritional outcomes was mediated by child health check-ups and household dietary diversity. In a sample of 443 children 6-35 months old, we estimated the controlled direct (CDE) effect of random assignment on measured height-for-age z scores had we intervened so that all children received a health check-up and had the same level of household dietary diversity, using inverse-probability weighted marginal structural models to account for mediator-outcome confounding. Sensitivity analyses corrected the CDE for potential nondifferential error in the measurement of dietary diversity. Treatment assignment increased height-for-age z score by 0.37 (95% CI: 0.05, 0.69) standard deviations. The CDE was 0.20 (95% CI: -0.17, 0.57) standard deviations, suggesting nearly one-half of the program's impact on child nutrition would be eliminated had we intervened on these factors, although estimates were relatively imprecise. This study provides an illustration of how causal mediation analysis can be applied to examine the mechanisms of multifaceted interventions.

A federated learning method for real-time emotion state classification from multi-modal streaming.

Emotional and physical health are strongly connected and should be taken care of simultaneously to ensure completely healthy persons. A person's emotional health can be determined by detecting emotional states from various physiological measurements (EDA, RB, EEG, etc.). Affective Computing has become the field of interest, which uses software and hardware to detect emotional states. In the IoT era, wearable sensor-based real-time multi-modal emotion state classification has become one of the hottest topics. In such setting, a data stream is generated from wearable-sensor devices, data accessibility is restricted to those devices only and usually a high data generation rate should be processed to achieve real-time emotion state responses. Additionally, protecting the users' data privacy makes the processing of such data even more challenging. Traditional classifiers have limitations to achieve high accuracy of emotional state detection under demanding requirements of decentralized data and protecting users' privacy of sensitive information as such classifiers need to see all data. Here comes the federated learning, whose main idea is to create a global classifier without accessing the users' local data. Therefore, we have developed a federated learning framework for real-time emotion state classification using multi-modal physiological data streams from wearable sensors, called Fed-ReMECS. The main findings of our Fed-ReMECS framework are the development of an efficient and scalable real-time emotion classification system from distributed multimodal physiological data streams, where the global classifier is built without accessing (privacy protection) the users' data in an IoT environment. The experimental study is conducted using the popularly used multi-modal benchmark DEAP dataset for emotion classification. The results show the effectiveness of our developed approach in terms of accuracy, efficiency, scalability and users' data privacy protection.

Health care services use, stillbirth, and neonatal and infant survival following implementation of the Maternal Health Voucher Scheme in Bangladesh: A difference-in-differences analysis of Bangladesh Demographic and Health Survey data, 2000 to 2016.

BACKGROUND: Starting in 2006 to 2007, the Government of Bangladesh implemented the Maternal Health Voucher Scheme (MHVS). This program provides pregnant women with vouchers that can be exchanged for health services from eligible public and private sector providers. In this study, we examined whether access to the MHVS was associated with maternal health services utilization, stillbirth, and neonatal and infant mortality. METHODS AND FINDINGS: We used information on pregnancies and live births between 2000 to 2016 reported by women 15 to 49 years of age surveyed as part of the Bangladesh Demographic and Health Surveys. Our analytic sample included 23,275 pregnancies lasting at least 7 months for analyses of stillbirth and between 15,125 and 21,668 live births for analyses of health services use, neonatal, and infant mortality. With respect to live births occurring prior to the introduction of the MHVS, 31.3%, 14.1%, and 18.0% of women, respectively, reported receiving at least 3 antenatal care visits, delivering in a health institution, and having a skilled birth attendant at delivery. Rates of neonatal and infant mortality during this period were 40 and 63 per 1,000 live births, respectively, and there were 32 stillbirths per 1,000 pregnancies lasting at least 7 months. We applied a difference-in-differences design to estimate the effect of providing subdistrict-level access to the MHVS program, with inverse probability of treatment weights to address selection into the program. The introduction of the MHVS program was associated with a lagged improvement in the probability of delivering in a health facility, one of the primary targets of the program, although associations with other health services were less evident. After 6 years of access to the MHVS, the probabilities of reporting at least 3 antenatal care visits, delivering in a health facility, and having a skilled birth attendant present increased by 3.0 [95% confidence interval (95% CI) = -4.8, 10.7], 6.5 (95% CI = -0.6, 13.6), and 5.8 (95% CI = -1.8, 13.3) percentage points, respectively. We did not observe evidence consistent with the program improving health outcomes, with probabilities of stillbirth, neonatal mortality, and infant mortality decreasing by 0.7 (95% CI = -1.3, 2.6), 0.8 (95% CI = -1.7, 3.4), and 1.3 (95% CI = -2.5, 5.1) percentage points, respectively, after 6 years of access to the MHVS. The sample size was insufficient to detect smaller associations with adequate precision. Additionally, we cannot rule out the possibility of measurement error, although it was likely nondifferential by treatment group, or unmeasured confounding by concomitant interventions that were implemented differentially in treated and control areas. CONCLUSIONS: In this study, we found that the introduction of the MHVS was positively associated with the probability of delivering in a health facility, but despite a longer period of follow-up than most extant evaluations, we did not observe attendant reductions in stillbirth, neonatal mortality, or infant mortality. Further work and engagement with stakeholders is needed to assess if the MHVS has affected the quality of care and health inequalities and whether the design and eligibility of the program should be modified to improve maternal and neonatal health outcomes.

Addressing Competing Risks When Assessing the Impact of Health Services Interventions on Hospital Length of Stay.

BACKGROUND: Although hospital length of stay is generally modeled continuously, it is increasingly recommended that length of stay should be considered a time-to-event outcome (i.e., time to discharge). Additionally, in-hospital mortality is a competing risk that makes it impossible for a patient to be discharged alive. We estimated the effect of trauma center accreditation on risk of being discharged alive while considering in-hospital mortality as a competing risk. We also compared these results with those from the "naive" approach, with length of stay modeled continuously. METHODS: Data include admissions to a level I trauma center in Quebec, Canada, between 2008 and 2017. We computed standardized risk of being discharged alive at specific days by combining inverse probability weighting and the Aalen-Johansen estimator of the cumulative incidence function. We estimated effect of accreditation using pre-post, interrupted time series (ITS) analyses, and the "naive" approach. RESULTS: Among 5,300 admissions, 12% died, and 83% were discharged alive within 60 days. Following accreditation, we observed increases in risk of discharge between the 7th day (4.5% [95% CI = 2.3, 6.6]) and 30th day since admission 3.8% (95% CI = 1.5, 6.2). We also observed a stable decrease in hospital mortality, -1.9% (95% CI = -3.6, -0.11) at the 14th day. Although pre-post and ITS produced similar results, we observed contradictory associations with the naive approach. CONCLUSIONS: Treating length of stay as time to discharge allows for estimation of risk of being discharged alive at specific days after admission while accounting for competing risk of death.

Real-Time Emotion Classification Using EEG Data Stream in E-Learning Contexts.

In face-to-face and online learning, emotions and emotional intelligence have an influence and play an essential role. Learners' emotions are crucial for e-learning system because they promote or restrain the learning. Many researchers have investigated the impacts of emotions in enhancing and maximizing e-learning outcomes. Several machine learning and deep learning approaches have also been proposed to achieve this goal. All such approaches are suitable for an offline mode, where the data for emotion classification are stored and can be accessed infinitely. However, these offline mode approaches are inappropriate for real-time emotion classification when the data are coming in a continuous stream and data can be seen to the model at once only. We also need real-time responses according to the emotional state. For this, we propose a real-time emotion classification system (RECS)-based Logistic Regression (LR) trained in an online fashion using the Stochastic Gradient Descent (SGD) algorithm. The proposed RECS is capable of classifying emotions in real-time by training the model in an online fashion using an EEG signal stream. To validate the performance of RECS, we have used the DEAP data set, which is the most widely used benchmark data set for emotion classification. The results show that the proposed approach can effectively classify emotions in real-time from the EEG data stream, which achieved a better accuracy and F1-score than other offline and online approaches. The developed real-time emotion classification system is analyzed in an e-learning context scenario.

Effectiveness of trauma centre verification: a systematic review and meta-analysis.

Background: There is a growing trend toward verification of trauma centres, but its impact remains unclear. This systematic review aimed to synthesize available evidence on the effectiveness of trauma centre verification. Methods: We conducted a systematic search of the CINAHL, Embase, HealthStar, MEDLINE and ProQuest databases, as well as the websites of key injury organizations for grey literature, from inception to June 2019, without language restrictions. Our population consisted of injured patients treated at trauma centres. The intervention was trauma centre verification. Comparison groups comprised nonverified trauma centres, or the same centre before it was first verified or re-verified. The primary outcome was in-hospital mortality; secondary outcomes included adverse events, resource use and processes of care. We computed pooled summary estimates using random-effects meta-analysis. Results: Of 5125 citations identified, 29, all conducted in the United States, satisfied our inclusion criteria. Mortality was the most frequently investigated outcome (n = 20), followed by processes of care (n = 12), resource use (n = 12) and adverse events (n = 7). The risk of bias was serious to critical in 22 studies. We observed an imprecise association between verification and decreased mortality (relative risk 0.74, 95% confidence interval 0.52 to 1.06) in severely injured patients. Conclusion: Our review showed mixed and inconsistent associations between verification and processes of care or patient outcomes. The validity of the published literature is limited by the lack of robust controls, as well as any evidence from outside the US, which precludes extrapolation to other health care jurisdictions. Quasiexperimental studies are needed to assess the impact of trauma centre verification. Systematic reviews registration: PROSPERO no. CRD42018107083.

Contexte: Le processus d'audit des centres de traumatologie gagne en popularité, mais ses effets concrets ne sont pas bien connus. La présente revue systématique a cherché à résumer les données probantes disponibles sur l'efficacité de l'audit des centres de traumatologie. Méthodes: Nous avons effectué des recherches systématiques dans les bases de données CINAHL, Embase, HealthSTAR, MEDLINE et ProQuest, de même qu'une recherche dans la littérature grise sur les sites Web d'organisations majeures du domaine des traumas, de leur création à juin 2019, sans restriction de langue. La population à l'étude était l'ensemble des patients blessés traités en centre de traumatologie. L'intervention était l'audit du centre de traumatologie. Les groupes de comparaison correspondaient aux centres de traumatologie n'ayant pas subi d'audit, ou le même centre, avant son premier audit ou un audit subséquent. Le principal résultat à l'étude était la mortalité en milieu hospitalier; les résultats secondaires étaient les événements indésirables, l'utilisation des ressources et les processus de soins. Nous avons calculé des estimations sommaires par méta-analyse à effets aléatoires sur données groupées. Résultats: Sur les 5125 citations retenues, 29 publications sur des études menées aux États-Unis répondaient à nos critères d'inclusion. La mortalité était le résultat le plus souvent à l'étude (n = 20), puis suivaient les processus de soins (n = 12), l'utilisation des ressources (n = 12) et les événements indésirables (n = 7). Le risque de biais était important ou critique dans 22 études. Nous avons observé une association imprécise entre l'audit et une baisse de la mortalité (risque relatif 0,74; intervalle de confiance à 95 % 0,52 à 1,06) chez les patients ayant subi un trauma grave. Conclusion: Notre revue a conclu qu'il y avait des associations mitigées et manquant d'uniformité entre l'audit et les processus de soins ou les issues pour les patients. La validité des données à l'étude était limitée par un manque de contrôles fiables, ainsi que par l'absence de données provenant d'autres pays que les États-Unis, ce qui empêche l'extrapolation à d'autres systèmes de santé. Des études quasi expérimentales devront être menées pour évaluer les effets de l'audit des centres de traumatologie. Enregistrement de la revue systématique: Registre PROSPERO, numéro CRD42018107083.

Extremes in water availability and suicide: Evidence from a nationally representative sample of rural Indian adults.

BACKGROUND: Extremes in water availability, either exceptionally wet or dry conditions, can damage crops and may detrimentally affect the livelihood and well-being of people engaged in agriculture. We estimated the effect of water availability on suicide in rural India, a context where the majority of households are dependent upon agriculture. METHODS: We used data from a nationally representative sample of 8.5 million people who were monitored for causes of death from 2001 to 2013. Water availability was measured with high-resolution precipitation and temperature data (i.e., the Standardized Precipitation Evapotranspiration Index). We used a fixed effects approach that modeled changes in water availability within districts (n = 569) over time (n = 13 years) to estimate the impact on suicide deaths. We restricted our analysis to rural areas and to deaths occurring during the growing season (June-March) among adults aged 15 or older, and controlled for sex, age, region, and year. We used Poisson regression with standard errors clustered at the district level and total deaths as the offset. RESULTS: There were 9456 suicides and 249,786 total deaths in our study population between 2001 and 2013. Compared to normal growing seasons, the percent of deaths due to suicide increased by 18.7% during extremely wet growing seasons (95% CI: 6.2, 31.2) and by 3.6% during extremely dry growing seasons (95% CI: -17.9, 25.0). We found that effects varied by age. CONCLUSIONS: We found extremes is water availability associated with an increase in suicide. Abnormally wet growing conditions may play an important, yet overlooked, role in suicide among rural Indian adults.

The effect of intimate partner violence on women's mental distress: a prospective cohort study of 3010 rural Indian women.

PURPOSE: Intimate partner violence (IPV) encompasses physical, sexual, and psychological abuse, as well as controlling behavior. Most research focuses on physical and sexual abuse, and other aspects of IPV are rarely investigated. We estimated the effect of these neglected aspects of IPV on women's mental distress. METHODS: We used data from 3010 women living in rural tribal communities in Rajasthan, India. Women completed baseline interviews and were re-interviewed approximately 1.5 years later. We measured IPV with questions adopted from the Demographic and Health Survey's Domestic Violence Module, which asked seven questions about physical abuse, three questions about psychological abuse, and five questions about partner controlling behavior. Mental distress was measured with the 12-item General Health Questionnaire (score range 0-12). We used Poisson regression models to estimate the relation between changes in IPV and mental distress, accounting for time-fixed characteristics of individuals using individual fixed effects. RESULTS: Women reported an average of 2.1 distress symptoms during baseline interviews. In models that controlled for time-varying confounding (e.g., wealth, other types of abuse), experiencing psychological abuse was associated with an increase of 0.65 distress symptoms (95% CI 0.32, 0.98), and experiencing controlling behavior was associated with an increase of 0.31 distress symptoms (95% CI 0.18, 0.44). However, experiencing physical abuse was not associated with an increase in distress symptoms (mean difference = - 0.15, 95% CI - 0.45, 0.15). CONCLUSIONS: Psychological abuse and controlling behavior may be important drivers of the relation between IPV and women's mental health.

Trauma system accreditation and patient outcomes in British Columbia: an interrupted time series analysis.

OBJECTIVE: We aim to assess the impact of several accreditation cycles of trauma centers on patient outcomes, specifically in-hospital mortality, complications and hospital length of stay. DESIGN: Interrupted time series. SETTING: British Columbia, Canada. PARTICIPANTS: Trauma patients admitted to all level I and level II trauma centers between January 2008 and March 2018. EXPOSURE: Accreditation. MAIN OUTCOMES AND MEASURES: We first computed quarterly estimates of the proportions of in-hospital mortality, complications and survival to discharge standardized for change in patient case-mix using prognostic scores and the Aalen-Johansen estimator of the cumulative incidence function. Piecewise regressions were then used to estimate the change in levels and trends for patient outcomes following accreditation. RESULTS: For in-hospital mortality and major complications, the impact of accreditation seems to be associated with short- and long-term reductions after the first cycle and only short-term reductions for subsequent cycles. However, the 95% confidence intervals for these estimates were wide, and we lacked the precision to consistently conclude that accreditation is beneficial. CONCLUSIONS: Applying a quasi-experimental design to time series accounting for changes in patient case-mix, our results suggest that accreditation might reduce in-hospital mortality and major complications. However, there was uncertainty around the estimates of accreditation. Further studies looking at clinical processes of care and other outcomes such as patient or health staff satisfaction are needed.

Protecting only white children: the impact of child restraint legislation in Brazil.

BACKGROUND: In 2010, Brazil introduced child restraint legislation (CRL). We assessed the effectiveness of CRL in reducing child (aged 0-8 years) injuries and fatalities by race. We performed an evaluation study with an interrupted time-series design. METHODS: We measured the effect of CRL on two outcomes-number of child deaths and number of child injured in traffic collisions per child population, stratified by race, from 2008 to 2014. We controlled for time, unemployment rate and oil consumption (barrels/day in thousands). RESULTS: The CRL was associated with a 3% reduction in the rate of child injuries among whites (incidence rate ratio (IRR): 0.97; 95% CI: 0.96-0.99), but no reduction in child injuries among non-whites (IRR: 0.99; 95% CI: 0.99-1.00). In the first month after the implementation of Brazil's CRL we observed a 39% reduction in all child fatalities (IRR: 0.61; 95% CI: 0.44-0.84), including a 52% reduction among whites (IRR: 0.48; 95% CI: 0.33-0.68), but no reduction in non-white fatalities (IRR: 0.87; 95% CI: 0.55-1.37). CONCLUSIONS: Our results support the hypothesis that socially advantaged populations were more likely to consistently adopt and employ restraint devices following the reform. Countries should also consider complementary policies that facilitate an equitable distribution of safety devices that reach vulnerable populations.

The Impact of Parental and Medical Leave Policies on Socioeconomic and Health Outcomes in OECD Countries: A Systematic Review of the Empirical Literature.

Policy Points: Historically, reforms that have increased the duration of job-protected paid parental leave have improved women's economic outcomes. By targeting the period around childbirth, access to paid parental leave also appears to reduce rates of infant mortality, with breastfeeding representing one potential mechanism. The provision of more generous paid leave entitlements in countries that offer unpaid or short durations of paid leave could help families strike a balance between the competing demands of earning income and attending to personal and family well-being. CONTEXT: Policies legislating paid leave from work for new parents, and to attend to individual and family illness, are common across Organisation for Economic Co-operation and Development (OECD) countries. However, there exists no comprehensive review of their potential impacts on economic, social, and health outcomes. METHODS: We conducted a systematic review of the peer-reviewed literature on paid leave and socioeconomic and health outcomes. We reviewed 5,538 abstracts and selected 85 published papers on the impact of parental leave policies, 22 papers on the impact of medical leave policies, and 2 papers that evaluated both types of policies. We synthesized the main findings through a narrative description; a meta-analysis was precluded by heterogeneity in policy attributes, policy changes, outcomes, and study designs. FINDINGS: We were able to draw several conclusions about the impact of parental leave policies. First, extensions in the duration of paid parental leave to between 6 and 12 months were accompanied by attendant increases in leave-taking and longer durations of leave. Second, there was little evidence that extending the duration of paid leave had negative employment or economic consequences. Third, unpaid leave does not appear to confer the same benefits as paid leave. Fourth, from a population health perspective, increases in paid parental leave were consistently associated with better infant and child health, particularly in terms of lower mortality rates. Fifth, paid paternal leave policies of adequate length and generosity have induced fathers to take additional time off from work following the birth of a child. How medical leave policies for personal or family illness influence health has not been widely studied. CONCLUSIONS: There is substantial quasi-experimental evidence to support expansions in the duration of job-protected paid parental leave as an instrument for supporting women's labor force participation, safeguarding women's incomes and earnings, and improving child survival. This has implications, in particular, for countries that offer shorter durations of job-protected paid leave or lack a national paid leave entitlement altogether.

Economic policy and the double burden of malnutrition: cross-national longitudinal analysis of minimum wage and women's underweight and obesity.

OBJECTIVE: To examine changes in minimum wage associated with changes in women's weight status. DESIGN: Longitudinal study of legislated minimum wage levels (per month, purchasing power parity-adjusted, 2011 constant US dollar values) linked to anthropometric and sociodemographic data from multiple Demographic and Health Surveys (2000-2014). Separate multilevel models estimated associations of a $10 increase in monthly minimum wage with the rate of change in underweight and obesity, conditioning on individual and country confounders. Post-estimation analysis computed predicted mean probabilities of being underweight or obese associated with higher levels of minimum wage at study start and end. SETTING: Twenty-four low-income countries. SUBJECTS: Adult non-pregnant women (n 150 796). RESULTS: Higher minimum wages were associated (OR; 95 % CI) with reduced underweight in women (0·986; 0·977, 0·995); a decrease that accelerated over time (P-interaction=0·025). Increasing minimum wage was associated with higher obesity (1·019; 1·008, 1·030), but did not alter the rate of increase in obesity prevalence (P-interaction=0·8). A $10 rise in monthly minimum wage was associated (prevalence difference; 95 % CI) with an average decrease of about 0·14 percentage points (-0·14; -0·23, -0·05) for underweight and an increase of about 0·1 percentage points (0·12; 0·04, 0·20) for obesity. CONCLUSIONS: The present longitudinal multi-country study showed that a $10 rise in monthly minimum wage significantly accelerated the decline in women's underweight prevalence, but had no association with the pace of growth in obesity prevalence. Thus, modest rises in minimum wage may be beneficial for addressing the protracted underweight problem in poor countries, especially South Asia and parts of Africa.

Child Marriage Laws around the World: Minimum Marriage Age, Legal Exceptions, and Gender Disparities.

The marriage of children below 18 is widely recognized in international human rights agreements as a discriminatory global practice that hinders the development and well-being of hundreds of millions of girls. Using a new global policy database, we analyze national legislation regarding minimum marriage age, exceptions permitting marriage at earlier ages, and gender disparities in laws. While our longitudinal data indicate improvements in frequencies of countries with legal provisions that prohibit marriage below the age of 18, important gaps remain in eliminating legal exceptions and gender discrimination.

An equity dashboard to monitor vaccination coverage.

Equity monitoring is a priority for Gavi, the Vaccine Alliance, and for those implementing The2030 agenda for sustainable development. For its new phase of operations, Gavi reassessed its approach to monitoring equity in vaccination coverage. To help inform this effort, we made a systematic analysis of inequalities in vaccination coverage across 45 Gavi-supported countries and compared results from different measurement approaches. Based on our findings, we formulated recommendations for Gavi's equity monitoring approach. The approach involved defining the vulnerable populations, choosing appropriate measures to quantify inequalities, and defining equity benchmarks that reflect the ambitions of the sustainable development agenda. In this article, we explain the rationale for the recommendations and for the development of an improved equity monitoring tool. Gavi's previous approach to measuring equity was the difference in vaccination coverage between a country's richest and poorest wealth quintiles. In addition to the wealth index, we recommend monitoring other dimensions of vulnerability (maternal education, place of residence, child sex and the multidimensional poverty index). For dimensions with multiple subgroups, measures of inequality that consider information on all subgroups should be used. We also recommend that both absolute and relative measures of inequality be tracked over time. Finally, we propose that equity benchmarks target complete elimination of inequalities. To facilitate equity monitoring, we recommend the use of a data display tool - the equity dashboard - to support decision-making in the sustainable development period. We highlight its key advantages using data from Côte d'Ivoire and Haiti.

Le suivi de l'équité est une priorité pour Gavi, l'Alliance du Vaccin et pour ceux qui mettent en œuvre le Programme de développement durable à l'horizon 2030. Dans le cadre de sa nouvelle phase d'opérations, Gavi a repensé son approche relative au suivi de l'équité en matière de couverture vaccinale. Afin de contribuer à cet effort, nous avons réalisé une analyse systématique des inégalités en matière de couverture vaccinale dans 45 pays soutenus par Gavi et comparé les résultats obtenus à partir de différentes méthodes de mesure. Nous nous sommes appuyés sur nos conclusions pour formuler des recommandations concernant l'approche adoptée par Gavi pour suivre l'équité. Cette approche impliquait de définir les populations vulnérables, de choisir des mesures appropriées pour quantifier les inégalités et d'établir des critères en matière d'équité qui reflètent les ambitions du programme de développement durable. Dans le présent article, nous expliquons la raison d'être de nos recommandations et le but de l'élaboration d'un meilleur outil de suivi de l'équité. L'approche précédemment utilisée par Gavi pour mesurer l'équité consistait à calculer la différence en matière de couverture vaccinale entre les quintiles de richesse les plus élevés et les plus bas d'un pays. Nous recommandons de suivre des dimensions de la vulnérabilité (éducation maternelle, lieu de résidence, sexe des enfants et indice de pauvreté multidimensionnelle) autres que l'indice de richesse. Lorsqu'une dimension inclut divers sous-groupes, il convient d'utiliser des mesures de l'inégalité prenant en compte les informations relatives à tous les sous-groupes. Nous conseillons également de suivre les mesures absolues mais aussi relatives d'inégalité au fil du temps. Enfin, nous suggérons que les critères en matière d'équité visent l'élimination complète des inégalités. Afin de faciliter le suivi de l'équité, nous recommandons l'utilisation d'un outil d'affichage de données ­ le tableau de bord de l'équité ­ pour favoriser la prise de décision dans le cadre du programme de développement durable. Nous mettons en avant les principaux avantages de cet outil à l'aide de données provenant de Côte d'Ivoire et d'Haïti.

La supervisión de la equidad es una prioridad para la Gavi, la Vaccine Alliance y para los que implementan la Agenda 2030 para el Desarrollo Sostenible. Para su nueva fase de operaciones, la Gavi reevaluó su enfoque para supervisar la equidad en la cobertura de vacunación. Para ayudar a informar este esfuerzo, se realizó un análisis sistemático de desigualdades en la cobertura de vacunación en 45 países apoyados por la Gavi y se compararon los resultados desde distintos enfoques de medición. En base a los resultados, se formularon recomendaciones para el enfoque de supervisión de equidad de la Gavi. El enfoque implicó la definición de las poblaciones vulnerables, la selección de las medidas adecuadas para cuantificar las desigualdades y la definición de las referencias de equidad que reflejan las ambiciones de la agencia de desarrollo sostenible. En este artículo, se explican los motivos de las recomendaciones y el desarrollo de una herramienta mejorada de supervisión de la equidad. El anterior enfoque de la Gavi para la medición de la equidad era la diferencia de la cobertura de vacunación entre los sectores demográficos más ricos y más pobres de un país. Además del índice patrimonial, se recomienda supervisar otras dimensiones de vulnerabilidad (educación de la madre, lugar de residencia, sexo de los niños y el índice de pobreza multidimensional). Para las dimensiones con múltiples subgrupos, deberían utilizarse medidas de desigualdad que tienen en cuenta información acerca de todos los subgrupos. También se recomienda que, con el paso del tiempo, se haga un seguimiento tanto de la medida de desigualdad absoluta como relativa. Por último, se propone que las referencias de equidad tengan como objetivo la eliminación completa de la desigualdad. Para facilitar la supervisión de la equidad, se recomienda utilizar una herramienta de indicación de datos (el tablero de equidad) para apoyar la toma de decisiones durante el periodo de desarrollo sostenible. Se destacan sus ventajas básicas utilizando datos de Côte d'Ivoire y de Haití.

Are work demands associated with mental distress? Evidence from women in rural India.

PURPOSE: High work demands might be a determinant of poor mental health among women in low- and middle-income countries, especially in rural settings where women experience greater amounts of labor-intensive unpaid work. Research originating from such settings is lacking. METHODS: We estimated the cross-sectional association between work demands and mental distress among 3177 women living in 160 predominantly tribal communities in southern Rajasthan, India. A structured questionnaire captured the number of minutes women spent on various activities in the last 24 h, and we used this information to measure women's work demands, including the total work amount, nature of work (e.g., housework), and type of work (e.g., cooking). Mental distress was measured with the Hindi version of the 12-item General Health Questionnaire. We used negative binomial regression models to estimate the association between work demands (amount, nature, and type) and mental distress. RESULTS: On average, women spent more than 9.5 h a day on work activities. The most time, intensive work activity was caring for children, the elderly, or disabled (149 min). In adjusted models, we found a U-shaped association between work amount and mental distress. High amounts of housework were associated with higher distress, whereas paid work and farmwork amount were not. Certain types of housework, including collecting water and cleaning, were associated with increased distress scores. CONCLUSIONS: We found an association between aspects of work demands and mental distress. Research in other contexts where women perform high amounts of unpaid work, particularly within the home or farm, is warranted.

Health effects of 'Juntos', a conditional cash transfer programme in Peru.

In some countries, conditional cash transfer (CCT) programmes show an impact on maternal and child health. Juntos, the CCT programme in Peru, has been evaluated several times operationally, but seldom for maternal and child health outcomes. The objective of this study is to evaluate the impact of Juntos on children under 6 years, pregnant women and mothers of children under 17 years. Outcomes evaluated included (1) anaemia in women and children; (2) acute malnutrition in children; (3) post-partum complications in mothers; and (4) underweight and overweight in mothers. We identified Juntos eligible respondents from the Demographic and Health Surveys of Peru for years 2007 to 2013. Propensity score matching was used to identify comparable treatment and control groups, including eligible respondents enrolled in Juntos vs. those not enrolled in Juntos (individual-level analysis), as well as eligible respondents living in Juntos districts vs. those not residing in Juntos districts (district-level analysis). We then used generalized linear models to estimate prevalence ratios. Individual level analysis showed that Juntos reduced underweight in women (PR:0.39, 95%CI:0.18 - 0.85) and anaemia in children (PR:0.93, 95%CI:0.86 - 1.00). In the district level analysis, the programme was associated with a reduction of overweight in women (PR:0.94, 95%CI:0.90 - 0.98) and acute malnutrition in children (PR:0.49, 95%CI:0.32 - 0.73), but an increase in the prevalence of anaemia in children (PR:1.09, 95%CI:1.01 - 1.17). We found that Juntos had an effect on maternal and child health indicators, but further studies are required to overcome some limitations encountered here.

Increased Duration of Paid Maternity Leave Lowers Infant Mortality in Low- and Middle-Income Countries: A Quasi-Experimental Study.

BACKGROUND: Maternity leave reduces neonatal and infant mortality rates in high-income countries. However, the impact of maternity leave on infant health has not been rigorously evaluated in low- and middle-income countries (LMICs). In this study, we utilized a difference-in-differences approach to evaluate whether paid maternity leave policies affect infant mortality in LMICs. METHODS AND FINDINGS: We used birth history data collected via the Demographic and Health Surveys to assemble a panel of approximately 300,000 live births in 20 countries from 2000 to 2008; these observational data were merged with longitudinal information on the duration of paid maternity leave provided by each country. We estimated the effect of an increase in maternity leave in the prior year on the probability of infant (<1 y), neonatal (<28 d), and post-neonatal (between 28 d and 1 y after birth) mortality. Fixed effects for country and year were included to control for, respectively, unobserved time-invariant confounders that varied across countries and temporal trends in mortality that were shared across countries. Average rates of infant, neonatal, and post-neonatal mortality over the study period were 55.2, 30.7, and 23.0 per 1,000 live births, respectively. Each additional month of paid maternity was associated with 7.9 fewer infant deaths per 1,000 live births (95% CI 3.7, 12.0), reflecting a 13% relative reduction. Reductions in infant mortality associated with increases in the duration of paid maternity leave were concentrated in the post-neonatal period. Estimates were robust to adjustment for individual, household, and country-level characteristics, although there may be residual confounding by unmeasured time-varying confounders, such as coincident policy changes. CONCLUSIONS: More generous paid maternity leave policies represent a potential instrument for facilitating early-life interventions and reducing infant mortality in LMICs and warrant further discussion in the post-2015 sustainable development agenda. From a policy planning perspective, further work is needed to elucidate the mechanisms that explain the benefits of paid maternity leave for infant mortality.