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Factors associated with the decline in under-five diarrhea mortality in India: a LiST analysis.

ABSTRACT: Background:India has achieved 86% reduction in the number of under-five diarrheal deaths from 1980 to 2015. Nonetheless diarrhea is still among the leading causes of under-five deaths. The aim of this analysis was to study the contribution of factors that led to decline in diarrheal deaths in the country and the effect of scaling up of intervention packages to address the remaining diarrheal deaths. Methods:We assessed the attribution of different factors and intervention packages such as direct diarrhea case management interventions, nutritional factors and WASH interventions which contributed to diarrhea specific under-five mortality reduction (DSMR) during 1980 to 2015 using the Lives Saved Tool (LiST). The potential impact of scaling up different packages of interventions to achieve universal coverage levels by year 2030 on reducing the number of remaining diarrheal deaths were estimated. Results:The major factors associated with DSMR reduction in under-fives during 1980 to 2015, were increase in ORS use, reduction in stunting prevalence, improved sanitation, changes in age appropriate breastfeeding practices, increase in the vitamin-A supplementation and persistent diarrhea treatment. ORS use and reduction in stunting were the two key interventions, each accounting for around 32% of the lives saved during this period. Scaling up the direct diarrhea case management interventions from the current coverage levels in 2015 to achieve universal coverage levels by 2030 can save around 82?000 additional lives. If the universal targets for nutritional factors and WASH interventions can be achieved, an additional 23?675 lives can potentially be saved. Conclusions:While it is crucial to improve the coverage and equity in ORS use, an integrated approach to promote nutrition, WASH and direct diarrhea interventions is likely to yield the highest impact on reducing the remaining diarrheal deaths in under-five children.

SUBMITTER: Choudhary TS

PROVIDER: S-EPMC6816285 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Factors associated with the decline in under-five diarrhea mortality in India: a LiST analysis.

Choudhary Tarun Shankar TS Sinha Bireshwar B Khera Ajay A Bhandari Nita N Chu Yue Y Jackson Bianca B Walker Neff N Black Robert E RE Merson Michael M Bhan Maharaj Kishan MK

Journal of global health 20191201 2

<h4>Background</h4>India has achieved 86% reduction in the number of under-five diarrheal deaths from 1980 to 2015. Nonetheless diarrhea is still among the leading causes of under-five deaths. The aim of this analysis was to study the contribution of factors that led to decline in diarrheal deaths in the country and the effect of scaling up of intervention packages to address the remaining diarrheal deaths.<h4>Methods</h4>We assessed the attribution of different factors and intervention packages ...[more]

PMID: 31673348

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Project description:BackgroundIn the year 2019, around 5 million children under age five died and most of the deaths happened in developing countries. Though large numbers of deaths are reported in such countries, limited availability of data poses a substantial challenge on generating reliable estimates. Hence, this study aims to assess the prevalence and factors associated with under-five mortality in southeastern Ethiopia.MethodsA register based cross sectional study was conducted from 1st September 2014 to July 2019 in Asella teaching and referral hospital. A total of 4901 under-five age children registered on the admission and discharge book of pediatric ward with complete information were included for the analysis. Data entry and analysis were conducted using Epidata Version 7 and SPSS version 21, respectively. Descriptive statistics were used to explore the characteristics of the study participants and their condition at discharge. Adjusted Odds Ratio (AOR) with its 95% Confidence interval and P-value less than 5% was used to decide the statistically significant association.ResultsThe prevalence of under-five mortality among admitted children in Asella Teaching and Referral hospital was 8.7% (95% CI 7.91-9.50%). Post-Neonatal and Child mortality were found to be 9.1% and 8.18%, respectively. Moreover, large numbers of death (45.2%) were seen within the first 2 days of admission. Address (AOR:1.4(1.08-1.81)), HIV status (AOR:4.64 (2.19-9.8)), severe acute malnutrition (AOR:2.82 (2.03-3.91)), hypovolemic shock (AOR:4.32 (2.31-8.1)), type I diabetes with DKA (AOR:3.53(1.34-9.29) and length of stay in the hospital for ≤2 days (AOR: 4.28 (3.09-5.95)) as well as 3-4 days (AOR: 1.48 (1.02-2.15)) were among the identified predictors.ConclusionsThough childhood mortality is swiftly decreasing, and access and utilization of health care is improving in Ethiopia, our study found large prevalence of under-five mortality, 8.7% and higher number of deaths in early days of admission. Improving the quality of service has a paramount importance in reducing the mortality and managing associated factors contributing to under-five mortality among admitted children.

Project description:BackgroundUnder-five mortality refers to the likelihood of dying between the ages of birth and five. The number of children under the age of five who die each year continues to climb worldwide. Over the previous few decades, the industry has made great progress in reducing mortality among children under the age of five. The study aims to identify the factors associated with under-five mortality in Ethiopia.Subject and methodCommunity-based Cross-sectional data came from Ethiopia's Mini Demographic and Health Survey 2019. In two stages, the 2019 EMDHS sample was stratified and selected. 8855 women of reproductive age were interviewed using a nationally representative Woman (ages 15 to 49) and 5753 children were included. Ethiopia's under-five mortality served as the study's dependent (response) or outcome variable. Binary logistic regression was used to see if there is an association between the dependent and independent variables. All variables with a p-value of less than 0.25 in the bivariate analysis were chosen for the multivariable logistic regression to compensate for putative confounders. Significant predictors were defined as factors with a p-value of less than 0.05.ResultsA total of 5753 under-5 mortality were enrolled in this study. 339 (5.9%) of under-five Mortality have been declared lifeless before reaching the age of five. There were 1328(23.1%) and 4425(76.1%) with 72 (5.42%) and 267 (6.02%) of under-five mortality occurring in urban and rural respectively. Under-five mortality in the Afar region was 2.280 times more likely Compared to Children born in Tigray Region (AOR = 2.280 95% CI = 1.137-4.568, P = .020). Under-five Mortality in Rural residences was 1.908 times more likely as Compared to Urban Residence (AOR = 1.908, 95% CI = 1.257-4.539, P = .035). Under-five mortality in Poorer index Households was 0.343 times Less likely as compared to children born in the poorest index Household (AOR = 0.343,95% CI = 0.128-0.910, P = ). Under-five mortality in the public sector was 1.763 times less likely than among children born at Home (AOR = 1.763, 95% CI = 1.252-2.482, P = .033). Under-five Mortality of second multiple births was 2.389 times more likely Compared to Single birth (AOR = 2.389, 95% CI = 1.257-4.539, P = .008).ConclusionThis study found that the prevalence of under-five mortality, is 5.9% (59/1000) or 59 death per one thousand live children in Ethiopia. The under-five mortality rate is rapidly declining, and access to and utilization of health care is improving. Region, residence, level of education, wealth index, Place of Delivery and multiple births have all been statistically significant factors of under-five mortality in Ethiopia. The government and all stockholders should be given attention to maternal and infant health care to reduce under-five mortality.

Project description:BackgroundThis paper examines if, when controlling for biophysical and geographical variables (including rainfall, productivity of agricultural lands, topography/temperature, and market access through road networks), socioeconomic and health care indicators help to explain variations in the under-five mortality rate across districts from nine high focus states in India. The literature on this subject is inconclusive because the survey data, upon which most studies of child mortality rely, rarely include variables that measure these factors. This paper introduces these variables into an analysis of 284 districts from nine high focus states in India.Methodology/principal findingsInformation on the mortality indicator was accessed from the recently conducted Annual Health Survey of 2011 and other socioeconomic and geographic variables from Census 2011, District Level Household and Facility Survey (2007-08), Department of Economics and Statistics Divisions of the concerned states. Displaying high spatial dependence (spatial autocorrelation) in the mortality indicator (outcome variable) and its possible predictors used in the analysis, the paper uses the Spatial-Error Model in an effort to negate or reduce the spatial dependence in model parameters. The results evince that the coverage gap index (a mixed indicator of district wise coverage of reproductive and child health services), female literacy, urbanization, economic status, the number of newborn care provided in Primary Health Centers in the district transpired as significant correlates of under-five mortality in the nine high focus states in India. The study identifies three clusters with high under-five mortality rate including 30 districts, and advocates urgent attention.ConclusionEven after controlling the possible biophysical and geographical variables, the study reveals that the health program initiatives have a major role to play in reducing under-five mortality rate in the high focus states in India.

Project description:BACKGROUND:As an important marker for health equity and access, under-five mortality (UFM) is a primary measure for socioeconomic development. The importance of reducing UFM has been further emphasized in an ambitious target under Sustainable Development Goals. The factors influencing UFM are not adequately understood in Bhutan. METHODS:The most recent dataset of the Bhutan National Health Survey (BNHS) 2012 was used in this study. Multiple logistic regression analysis using a backwards elimination approach was performed to identify significant factors influencing UFM. All statistical analyses were adjusted for the complex study design due to the multistage stratified cluster sampling used in BNHS. RESULTS:Bhutan's UFM rate was 37 per 1000 live births. The weighted mean age of the children was 7.3?years (SD: 1.53; range: 3-12). Mother's age, household size, access to electricity and sanitation, residential region, and parity were the key factors associated with UFM. The UFM risk was significantly lower in children born to mothers aged 36-40?years, 41-45?years, and?>?45?years when compared to that in children born to mothers aged <?26?years. The likelihood of mortality was 66% lower (95% CI: 0.21-0.55) among children born in households with >?5 members. Children born in households without electricity and safe sanitation had a significantly higher risk of death, by 81 and 49% respectively. Relative to those born in the west, children born in the central and eastern regions were 1.72 (95% CI: 1.07-2.77) and 2.09 (95% CI: 1.46-2.99) times more likely to die, respectively. Children born to mothers who gave birth to >?2 children were significantly more likely to die than their counterparts. CONCLUSION:These findings suggest that younger mother's age, the higher number of births and being born in the central and eastern regions are associated with a higher UFM risk, whereas a larger household size and access to electricity and safe sanitation are key factors associated with lower UFM risk in Bhutan. Women empowerment, health education and strategies promoting maternal and child health in rural areas need to be scaled-up. Additionally, socioeconomic development programs should seek to reduce regional disparities.

Project description:BackgroundDiarrheal disease is still one of the most common causes of mortality and morbidity in children under five in developing countries, including Ethiopia. Lack of specific data on the prevalence of acute diarrhea and associated factors among under-five children in the semi-urban areas of Gelsha, found in northeastern Ethiopia's South Wollo zone, remains a major gap. Therefore, this study was designed to provide data that is important for proper planning of intervention measures to reduce the problem in this area.MethodsA community-based cross-sectional study was conducted among 340 systematically selected children under five in semi-urban areas of Gelsha from January to March 2019. The data was collected using a structured questionnaire and an observational checklist. Bivariable (crude odds ratio [COR]) and multivariable analysis (adjusted odds ratio [AOR]) were employed using binary logistic regression model with 95% CI (confidence interval). Variables with a p-value < 0.05 from the multivariable analysis were declared as factors significantly associated with acute diarrhea.ResultThe prevalence of acute diarrhea among children under five in the study area was 11% (95%CI: 7.8-14.3%). About two-thirds (63.60%) of study participants used water from improved sources. About half (54.90%) of study participants practiced poor handwashing and 45.10% practiced good handwashing. We found that factors significantly associated with acute diarrhea were a child's age of 12-23 months (AOR = 4.68, 95% CI: 1.45-1.50), the presence of two or more under-five children in the house (AOR = 2.84, 95% CI: 1.19-6.81), unimproved water sources (AOR = 2.97, 95% CI: 1.28-6.87) and presence of feces around the pit hole/slab/floor of the latrine (AOR = 3.34, 95% CI: 1.34-8.31).ConclusionThe prevalence of acute diarrhea among children under five was relatively high. To reduce the problem, various prevention strategies are essential, such as the provision of health education to mothers/caregivers that focuses on keeping sanitation facilities clean and child care, and construction of improved water sources. Furthermore, implementing a strong health extension program, advocating an open defecation-free environment, and practicing a community-led total sanitation and hygiene approach might be helpful to sustainably reduce childhood diarrhea.

Project description:BackgroundDespite improvements in prevention efforts, childhood diarrhea remains a public health concern. However, there may be substantial variation influenced by place, time, and season. Description of diarrheal clusters in time and space and understanding seasonal patterns can improve surveillance and management. The present study investigated the spatial and seasonal distribution and purely spatial, purely temporal, and space-time clusters of childhood diarrhea in Southern Ethiopia.MethodsThe study was a retrospective analysis of data from the Health Management Information System (HMIS) under-five diarrheal morbidity reports from July 2011 to June 2017 in Sidama Zone. Annual diarrhea incidence at district level was calculated. Incidence rate calculation and seasonal trend analysis were performed. The Kulldorff SaTScan software with a discrete Poisson model was used to identify statistically significant special, temporal, and space-time diarrhea clusters. ArcGIS 10.1 was used to plot the maps.ResultsA total of 202,406 under-five diarrheal cases with an annual case of 5822 per 100,000 under-five population were reported. An increasing trend of diarrhea incidence was observed over the 6 years with seasonal variation picking between February and May. The highest incidence rate (135.8/1000) was observed in the year 2016/17 in Boricha district. One statistically significant most likely spatial cluster (Boricha district) and six secondary clusters (Malga, Hulla, Aleta Wondo, Shebedino, Loka Abaya, Dale, and Wondogenet) were identified. One statistically significant temporal cluster (LLR?=?2109.93, p?<?0.001) during December 2013 to May 2015 was observed in all districts. Statistically significant spatiotemporal primary hotspot was observed in December 2012 to January 2015 in Malga district with a likelihood ratio of 1214.67 and a relative risk of 2.03. First, second, third, and fourth secondary hotspots occurred from January 2012 to May 2012 in Loka Abaya, December 2011 in Bursa, from March to April 2014 in Gorchie, and March 2012 in Wonsho districts.ConclusionChildhood diarrhea was not distributed randomly over space and time and showed an overall increasing trend of seasonal variation peaking between February and May. The health department and other stakeholders at various levels need to plan targeted interventional activities at hotspot seasons and areas to reduce morbidity and mortality.

Dataset Information

Factors associated with the decline in under-five diarrhea mortality in India: a LiST analysis.

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Factors associated with the decline in under-five diarrhea mortality in India: a LiST analysis.

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