Summary Background Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce high-resolution geospatial estimates of access to drinking water and sanitation facilities. Methods We used a Bayesian geostatistical model and data from 600 sources across more than 88 low-income and middle-income countries (LMICs) to estimate access to drinking water and sanitation facilities on continuous continent-wide surfaces from 2000 to 2017, and aggregated results to policy-relevant administrative units. We estimated mutually exclusive and collectively exhaustive subcategories of facilities for drinking water (piped water on or off premises, other improved facilities, unimproved, and surface water) and sanitation facilities (septic or sewer sanitation, other improved, unimproved, and open defecation) with use of ordinal regression. We also estimated the number of diarrhoeal deaths in children younger than 5 years attributed to unsafe facilities and estimated deaths that were averted by increased access to safe facilities in 2017, and analysed geographical inequality in access within LMICs. Findings Across LMICs, access to both piped water and improved water overall increased between 2000 and 2017, with progress varying spatially. For piped water, the safest water facility type, access increased from 40·0% (95% uncertainty interval [UI] 39·4–40·7) to 50·3% (50·0–50·5), but was lowest in sub-Saharan Africa, where access to piped water was mostly concentrated in urban centres. Access to both sewer or septic sanitation and improved sanitation overall also increased across all LMICs during the study period. For sewer or septic sanitation, access was 46·3% (95% UI 46·1–46·5) in 2017, compared with 28·7% (28·5–29·0) in 2000. Although some units improved access to the safest drinking water or sanitation facilities since 2000, a large absolute number of people continued to not have access in several units with high access to such facilities (>80%) in 2017. More than 253 000 people did not have access to sewer or septic sanitation facilities in the city of Harare, Zimbabwe, despite 88·6% (95% UI 87·2–89·7) access overall. Many units were able to transition from the least safe facilities in 2000 to safe facilities by 2017; for units in which populations primarily practised open defecation in 2000, 686 (95% UI 664–711) of the 1830 (1797–1863) units transitioned to the use of improved sanitation. Geographical disparities in access to improved water across units decreased in 76·1% (95% UI 71·6–80·7) of countries from 2000 to 2017, and in 53·9% (50·6–59·6) of countries for access to improved sanitation, but remained evident subnationally in most countries in 2017. Interpreta...
Background Across low-income and middle-income countries (LMICs), one in ten deaths in children younger than 5 years is attributable to diarrhoea. The substantial between-country variation in both diarrhoea incidence and mortality is attributable to interventions that protect children, prevent infection, and treat disease. Identifying subnational regions with the highest burden and mapping associated risk factors can aid in reducing preventable childhood diarrhoea.Methods We used Bayesian model-based geostatistics and a geolocated dataset comprising 15 072 746 children younger than 5 years from 466 surveys in 94 LMICs, in combination with findings of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, to estimate posterior distributions of diarrhoea prevalence, incidence, and mortality from 2000 to 2017. From these data, we estimated the burden of diarrhoea at varying subnational levels (termed units) by spatially aggregating draws, and we investigated the drivers of subnational patterns by creating aggregated risk factor estimates.Findings The greatest declines in diarrhoeal mortality were seen in south and southeast Asia and South America, where 54•0% (95% uncertainty interval [UI] 38•1-65•8), 17•4% (7•7-28•4), and 59•5% (34•2-86•9) of units, respectively, recorded decreases in deaths from diarrhoea greater than 10%. Although children in much of Africa remain at high risk of death due to diarrhoea, regions with the most deaths were outside Africa, with the highest mortality units located in Pakistan. Indonesia showed the greatest within-country geographical inequality; some regions had mortality rates nearly four times the average country rate. Reductions in mortality were correlated to improvements in water, sanitation, and hygiene (WASH) or reductions in child growth failure (CGF). Similarly, most high-risk areas had poor WASH, high CGF, or low oral rehydration therapy coverage.Interpretation By co-analysing geospatial trends in diarrhoeal burden and its key risk factors, we could assess candidate drivers of subnational death reduction. Further, by doing a counterfactual analysis of the remaining disease burden using key risk factors, we identified potential intervention strategies for vulnerable populations. In view of the demands for limited resources in LMICs, accurately quantifying the burden of diarrhoea and its drivers is important for precision public health.Funding Bill & Melinda Gates Foundation.
Background: This paper discusses length of stay (LOS) following childbirth as an indicator of quality of postnatal care in health institutions. This research aims to describe LOS according to both vaginal and cesarean deliveries in public and private health care institutions in India, and to identify any association of LOS with postnatal care and post-delivery complications. Methods: We use recently released nationally-representative data from the National Family Health Survey-4 (2015-16) and apply the Cox proportional hazard model to determine the factors associated with LOS at the health facility after childbirth during a five-year period preceding the survey. Results: Overall, the average LOS after childbirth is 3.4 days; 2.1 days for vaginal deliveries and 8.6 days for cesarean section (CS) deliveries. Strikingly, half of the women are discharged within 48 h. Women who give birth in private hospitals have a more prolonged stay than those who give birth in public health facilities. For vaginal birth in public hospitals, one-fourth of the women are discharged with insufficient LOS as against only 19.2% women in private hospitals. LOS is significantly related to the cost of delivery only in the case of private facilities. Uneducated women belonging to lower wealth quintile households and those living in rural areas stay for a shorter duration for vaginal deliveries but for a longer duration in case of cesarean deliveries. Women who get four or more antenatal checkups (ANC) done have a longer stay, while those who receive benefits under the Janani Suraksha Yojna (JSY) have a shorter stay. Another key finding is that women who are discharged on the same day report lower levels of postnatal care and a higher proportion of post-delivery complications. Conclusion: The study concludes that early discharge has a negative association with maternal health outcomes, which has important program implications. Therefore, it is essential to maintain an adequate LOS at a facility after childbirth. We recommend that government programs should strengthen the JSY scheme not only to improve delivery care, but also to provide effective postnatal care by promoting sufficient LOS at facilities.
BackgroundCounseling/advice is one of the key interventions to promote family planning (FP) in developing countries, including India. It helps to improve the quality of care and reduce maternal deaths. This paper investigates the continuity of maternal health (MH) service utilization from antenatal care to post-natal care and the impact this service utilization has on contraceptive use and on meeting the demand for family planning among currently married women in rural Uttar Pradesh, India.Methods and FindingsThe study assesses the impact of FP advice on unmet need and contraceptive use by adopting the propensity score matching method. It uses data from the District Level Household Survey (DLHS) (2007–08) that covered 76,147 currently married women (CMW) in the age group 15–44 years in Uttar Pradesh. Results show that the utilization of MH services [Antenatal care (ANC), institutional delivery, Postnatal care (PNC)] and FP advice during ANC and PNC has led to increase in current use of contraception by 3.7% (p<.01), 7.3% (p<.01) and 6.8% (p<.01), respectively. However, a greater utilization of these services has not translated into a reduction of unmet need for contraception at a similar manner.ConclusionMH service utilization including FP advice is more effective in increasing current use of spacing methods as compared to limiting methods. Findings support the need for “effective FP advice” interventions to reduce unintended births and unmet need. However, women from Scheduled Caste/Scheduled Tribe communities are less likely to receive MH services. Thus, efforts are required to ensure that currently married women across socio-economic backgrounds have equal opportunity to receive MH services and information on contraceptive use to meet the demand for family planning methods.
Introduction: Despite various programmes aiming to improve the nutritional status of children, nearly 38% of children under age five are still stunted in India, and there is huge spatial variation across the states. Objectives: The present study first examines the spatial clustering of childhood stunting and then investigates the contextual determinants including meteorological factors, poverty and crop production affecting childhood stunting. Methods: The percentage of stunted children under 5 years of age is taken from the district factsheets of National Family Health Survey 2015-16 (NFHS-4). Other data are taken from Census of India (2011) and Ministry of Agriculture and Farmers Welfare. To fulfil the set objectives, the spatial analysis including Moran-I index and spatial regressions models are used.Results: The spatial analysis shows a high degree of clustering (Moran's I: 0.65) in childhood stunting in districts of India. Extreme temperature of districts reveals a positive association with childhood stunting as nearly 40% of children from districts with maximum temperature above 40°C were stunting. After controlling for socioeconomic factors, spatial regression reveals that a 1°C increase in average annual temperature would lead to 0.134 increase in the percentage of stunted children. The study reveals a negative effect of district-level percapita crop production, wealth and education levels on the childhood stunting. Conclusion: The paper manifests the gigantic variations and clustering in the childhood malnutrition across districts of India. The study recommends to target the districts in hot spot areas, districts with extreme temperature and with low levels of crop production to fight against malnutrition under the umbrella of sustainable development goals.Poverty is a main cause of malnourishment because it confines the amount of food available to children causing wasting and a lack of micronutrients value leading to stunting and low weight. 6 Similarly, a study 7 exhibited household wealth, and the condition of women was related to both stunting and wasting. Further, overpopulation is a serious problem linked with the competition for food, shelter and medical facilities, and lead to malnutrition amongst children, particularly in the rural areas where access to food and medical facilities were limited. 6 Also, poverty and malnutrition enhance the risk of infants and children to various kinds of infectious diseases, like diarrhoea and pneumonia, and also increases the possibility of death. 8 International Food Policy Research Institute (IFPRI) reported that poverty, water, sanitation and hygiene, education, food systems, climate change, social protection, and agriculture all have the vital effect on nutrition outcomes. 9 Another study conducted by Pathak and Singh (2009) 10 showed that poverty might not solely be the determinant of child malnutrition. Rather, https://doi.
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