Household Wealth Status Research Articles

Family Planning Decision in the Context of Women Empowerment: Case of a Middle-income Economy

Family planning is essential for sustainable development, particularly for a lower middle income country like Pakistan, the fifth most densely inhabited country in the world. Women's empowerment leads to a dynamic role in family planning decisions. Based on the data of PDHS 2017-18 and by taking a sample of 12339 married women, this study aims to explore the connection between women empowerment and family planning decisions in Pakistan. A summative women empowerment index was calculated for the five dimensions (economic empowerment, financial inclusion, participation in decision making, self-esteem, and awareness status). Findings of binary logistics showed that women's empowerment (as an index) has a positive effect on the use of contraceptives. Every dimension of women's empowerment except her financial inclusion positively affects family planning decisions. Household wealth status increases the probability of using contraceptives. Due to regional disparities, contraceptive usage is shallow in Sindh, Balochistan, AJK, and FATA.

Prevalence and associated factors of early sexual initiation among youth female in sub-Saharan Africa: a multilevel analysis of recent demographic and health surveys

BackgroundEarly sexual initiation is a major public health concern globally, specifically in Sub-Saharan African (SSA) countries where reproductive health care services are limited. It is strongly related to increased risk of HIV/AIDS, sexually transmitted diseases, unwanted pregnancy, adverse birth outcomes, and psychosocial problems. However, there is limited evidence on the prevalence and associated factors of early sexual initiation among youth females in SSA.MethodsA secondary data analysis was employed based on the recent DHSs of sub-Saharan African countries. A total weighted sample of 184,942 youth females was considered for analysis. Given the hierarchical nature of DHS data, a multilevel binary logistic regression model was fitted. The Intra-class Correlation Coefficient (ICC), Median Odds Ratio (MOR), and Likelihood Ratio (LR) test were used to assess the presence of clustering. Four nested models were fitted and the model with the lowest deviance (-2LLR0 was selected as the best-fitted model. Variables with p-value < 0.2 in the bivariable multilevel binary logistic regression analysis were considered for the multivariable analysis. In the multivariable multilevel binary logistic regression analysis, the Adjusted Odds Ratio (AOR) with the 95% Confidence Interval (CI) was reported to declare the strength and statistical significance of the association.ResultsThe prevalence of early sexual initiation among youth females in sub-Saharan Africa was 46.39% [95%CI: 41.23%, 51.5%] ranging from 16.66% in Rwanda to 71.70% in Liberia. In the final model, having primary level education [AOR = 0.82, 95% CI; 0.79, 0.85], and [AOR = 0.50, 95%CI; 0.48, 0.52], being rural [AOR = 1.05, 95%CI: 1.03, 1.07], having media exposure [AOR = 0.91, 95%CI: 0.89, 0.94], and belonged to a community with high media exposure [AOR = 0.92, 95%CI: 0.89,0.96] were found significantly associated with early sexual initiation.ConclusionThe prevalence of early sexual initiation among youth females in SSA was high. Educational status, wealth index, residence, media exposure, and community media exposure have a significant association with early sexual initiation. These findings highlight those policymakers and other stakeholders had better give prior attention to empowering women, enhancing household wealth status, and media exposure to increase early sexual in the region.

Multilevel proportional odds modeling of anaemia prevalence among under five years old children in Ethiopia

BackgroundDespite anaemia is the leading cause of child morbidity and mortality in Africa including Ethiopia, there is inadequate evidence on modelling anaemia related factors among under five years old children in Ethiopia. Therefore, this study is aimed to assess factors that affect the anaemia status among under five years old children and estimate the proportion of overall child-level variation in anaemia status that is attributable to various factors in three regions of Ethiopia, namely Amhara, Oromiya and Southern Nation Nationalities People (SNNP).MethodsThis is a cross-sectional study, and the data was extracted from the 2011 Ethiopia National Malaria Indicator Survey which is a national representative survey in the country. A sample of 4,356 under five years old children were obtained from three regions. Based on child hemoglobin level, anaemia status was classified as non-anaemia (>11.0g/dL), mild anaemia (8.0-11.0g/dL), moderate anaemia (5.0-8.0g/dL) and severe anaemia (<5.0g/dL). Various multilevel proportional odds models with random Kebele effects were adopted taking into account the survey design weights. All the models were fitted with the PROC GLIMMIX in SAS. The Brant test for parallel lines assumption was done using the brant() function from brant package in R environment.ResultsThe prevalence of anaemia status of under five years children varies among the three study regions, where the prevalence of severe child anaemia status was higher in Oromiya region as compared to Amhara and SNNP regions. The results of this study indicate that age (OR = 0.686; 95% CI: 0.632, 0.743), malaria RDT positive (OR = 4.578; 95% 2.804, 7.473), household had used mosquito nets while sleeping (OR = 0.793; 95%: 0.651, 0.967), household wealth status and median altitude (OR = 0.999; 95%: 0.9987, 0.9993), were significantly related to the prevalence of child anaemia infection. The percentage of Kebele-level variance explained by the region and median altitude, and child / household (Level 1) characteristics was 32.1 % . Hence, large part of the Kebele-level variance (67.9%) remain unexplained.ConclusionsThe weighted multilevel proportional odds with random Kebele effects model used in this paper identified four child/household and one Kebele level risk factors of anaemia infection. Therefore, the public health policy makers should focus to those significant factors. The results also show regional variation in child anaemia prevalence, thus special attention should be given to those children living in regions with high anaemia prevalence.

Levels and trends in key socioeconomic inequalities in childhood undernutrition in Ethiopia: evidence from Ethiopia demographic and health surveys 2000-2019

IntroductionThe global burden of childhood undernutrition is mainly concentrated in low-income and lower-middle-income countries. In Ethiopia, childhood undernutrition varies significantly across different population groups. The present study is aimed at examining the levels and trends in key socioeconomic inequalities in childhood undernutrition in Ethiopia.MethodsThis cross-sectional study was based on a total pooled sample of 48,782 under-five children drawn from five rounds of the Ethiopia Demographic and Health Surveys (2000–2019). We used multilevel binary logistic regression analysis to determine the key socioeconomic determinants of undernutrition among under five children. In addition, we applied concentration index and decomposition rate analysis techniques to explore the levels and trends in key socioeconomic inequalities in childhood undernutrition.ResultsPlace of residence, household wealth status (approximated by asset-based wealth index), and maternal education, among others, were the key socioeconomic variables significantly associated (p < 0.001) with childhood undernutrition in Ethiopia. The level of inequality was the highest with children from rural areas, poor households and uneducated mothers. Absolute socioeconomic inequality in childhood undernutrition prevalence rate was declined by 9.72 during the study period (2000 to 2019).ConclusionChildhood undernutrition was unequally distributed among under-five children in Ethiopia, and largely concentrated among low socioeconomic status population groups. The identified key socioeconomic drivers of inequality in childhood undernutrition can be used to inform localized interventions and communication strategies to improve nutritional status of under-five children in Ethiopia. The study underscores development of poverty reduction strategies that directly address the existing challenges of the food insecurity and childhood undernutrition for the low-income population groups in the country.

Determinants of School dropouts among adolescents: Evidence from a longitudinal study in India.

India has the largest adolescent population in the world. However, many unprivileged Indian adolescents are still unable to complete schooling. Hence, there is a need to understand the reasons for school dropout among this population. The present study is an attempt to understand the determinants of school dropout among adolescents and identify the factors and reasons that contribute to it. Longitudinal survey data- Understanding Adults and Young Adolescents (UDAYA) for Bihar and Uttar Pradesh has been used to identify the determinants of school dropout among adolescents aged 10-19. The first wave of the survey was conducted in 2015-2016, and the follow-up survey in 2018-2019. Descriptive statistics along with bivariate and multivariate analysis was used to observe school dropout rates and factors associated with it among adolescents. Results show that the school dropout rate was highest among married girls aged 15-19 years (84%), followed by unmarried girls (46%), and boys (38%) of the same age group. The odds of school dropout among adolescents decreased with an increase in household wealth status. School dropout was significantly less likely among adolescents whose mothers were educated as compared to mothers who had no education. Younger boys [AOR: 6.67; CI: 4.83-9.23] and girls [AOR: 2.56; CI: 1.79-3.84] who engaged in paid work were 6.67 times and 2.56 times more likely to drop out of school than those who were not. The likelihood of school dropout was 3.14 times more likely among younger boys [AOR: 3.14; CI: 2.26-4.35], and it was 89% more likely among older boys [AOR: 1.89; CI: 1.55-2.30] who consumed any substances as compared to those who did not consume any substances. Both younger [AOR: 2.05; CI: 1.37-3.05] and older girls [AOR: 1.30; CI: 1.05-1.62] who acknowledged at least one form of discriminatory practice by parents were more likely to drop out of school than their counterparts. Lack of interest in studies/education not necessary (43%) was the predominant reason among younger boys for school dropout, followed by family reasons (23%) and paid work (21%). Dropout was prevalent among lower social and economic strata. Mother's education, parental interaction, participation in sports and having role models reduce school dropout. Conversely, factors such as being engaged in paid work, substance abuse among boys, and gender discriminatory practices towards girls, are risk factors for dropout among adolescents. Lack of interest in studies and familial reasons also increase dropout. There is a need to improve the socio-economic status, delay the marital age of girls, and enhance the government incentives for education, give rightful work to girls after schooling, and provide awareness.

Determinants of full immunization coverage among children 12-23 months of age from deviant mothers/caregivers in Ethiopia: A multilevel analysis using 2016 demographic and health survey.

Despite remarkable improvements in child health services utilization, childhood immunization has been poorly implemented in Ethiopia. However, evidence on the coverage of immunization among children from mothers/caregivers with no education (non-educated mothers were the most identified risk for underutilization of services) are scarce. Therefore, this study aimed to assess the determinants of full immunization coverage among children 12-23 months of age from deviant mothers/caregivers in Ethiopia. We analyzed data from the 2016 Ethiopia Demographic and Health Survey (EDHS) on a sample of 1,170 children 12-23 months of age identified from deviant mothers/caregivers (mothers/caregivers with no education) through a two-stage stratified sampling. A multilevel mixed-effect binary logistic regression analysis was used to identify the individual and community level determinants of full immunization coverage among children 12-23 months of age with their deviant mothers/caregivers. In the final model, a p-value of < 0.05 and adjusted odds ratio (AOR) with 95% confidence interval (CI) were used to select statistically significant determinants of full immunization coverage. The overall full immunization coverage among children 12-23 months of age identified from deviant mothers/caregivers was 27.4% (95%CI: 25.0, 31.0) in Ethiopia. Deviant mothers/caregivers who are employed (AOR = 1.69, 95%CI: 1.68, 2.45), being in the rich household wealth status (AOR = 2.54, 95%CI: 1.53, 4.22), residing in city (AOR = 5.69, 95%CI: 2.39, 13.61), having one to three (AOR: 3.28, 95% CI: 2.12-5.07) and four and more ANC follow-up during the recent pregnancy (AOR: 3.91, 95% CI: 2.45, 6.24) were the determinants that increased full immunization coverage among children 12-23 months of age. Full immunization coverage among children 12-23 months of age from non-educated mothers/caregivers was low and far behind the national target of coverage. Therefore, a system-wide intervention should be used to enhance employability, wealth status, and key maternal health services like ANC follow-up among non-educated mothers/caregivers to increase their children's full immunization coverage.

A multilevel analysis of factors associated with vitamin A supplementation among children aged 6-35 months in Ethiopia.

Vitamin A deficiency is among the leading preventable causes of childhood morbidity and mortality that might be attributable to the low uptake of vitamin A supplementation (VAS). Factors contributing to its low utilization are not researched at the national level and with the appropriate model. Therefore, this study aimed at identifying the magnitude and the individual- and community-level factors associated with vitamin A supplementation among children aged 6-35 months in Ethiopia. We have used the Ethiopian mini demographic and health survey data, which was conducted from 21 March to 28 June 2019. A weighted sum of 2,362 mothers having children aged 6-35 was extracted. Considering the hierarchical nature of the data, we fitted the multilevel multivariable logistic regression model. Adjusted odds ratio (AOR) with a 95% confidence interval (CI) was reported and variables with a p-value of < 0.05 were declared to be significantly associated factors. In this study, 43.4% (95% CI: 41.4-45.4%) of children have taken the VAS. Moreover, the 12-23 age of the child (AOR = 2.64; 95% CI: 1.88-3.72), 30-34 age of the mother (AOR = 3.34; 95% CI: 1.21-9.20), middle household wealth status (AOR = 1.75; 95% CI: 1.06-2.90), and four and above antenatal care (AOR = 2.90; 95% CI: 1.90-4.43) are the individual-level factors associated with VAS whereas being from Amhara (AOR = 2.20; 95% CI: 1.29-3.76) and Tigray (AOR = 2.16; 95% CI: 1.17-3.98) regions is a community-level factor significantly associated with the uptake of VAS. Overall, a low proportion of children have taken the VAS in Ethiopia. The higher age of the child and mother, full antenatal care, and improved wealth status positively influence VAS. Moreover, a child from the Tigray or Amhara regions was more likely to get VAS. Therefore, an intervention has to be designed to address the VAS uptake among young mothers, and working to improve the wealth status of the household would be helpful. Moreover, the advocacy of antenatal care and minimizing the regional disparity through encouraging the uptake in the rest of the regions would help increase the national-level uptake of VAS.

Unmet need for family planning and associated factors among adolescent girls and young women in Ethiopia: a multilevel analysis of Ethiopian Demographic and Health Survey

BackgroundUnmet need for family planning among adolescent girls and young women (AGYW) is a common cause of the low contraceptive utilization in developing countries, including Ethiopia. To address problems associated with unmet for family planning among adolescent girls and young women nationally available evidences are essential. However, there is limited evidence regarding factors associated with the unmet need for family planning among adolescent girls and young women in Ethiopia. Hence, this study aims to assess the prevalence and associated factors of unmet need for family planning among adolescent girls and young women in Ethiopia.MethodsOur analysis was based on secondary data using the 2016 Ethiopian Demographic and Health Survey data. A total weighted sample of 1086 adolescent girls and young women was included in this study. A multi-level mixed-effect logistic regression analysis was fitted. Adjusted odds ratios with 95% confidence intervals were used to show the strength and direction of the association. Statistical significance was declared at a p-value less than 0.05.ResultsThe prevalence of unmet need for family planning was 28.3% (95% CI: 25.7, 31.0). Adolescent girls and young women age 15–19 years (aOR: 2.4, 95%CI: 1.3, 4.3), household wealth quantile; poor (aOR: 5.6, 95%CI: 2.8, 11.1) and middle (aOR: 2.9, 95%CI: 1.4, 6.0), had no media exposure (aOR: 2.1, 95%CI: 1.1, 4.1), and adolescent girls and young women from developing regions (aOR: 5.1, 95%CI: 1.1, 14.5) were significantly associated with unmet need for family planning.ConclusionsUnmet need for family planning was high among adolescent girls and young women when compared to the national average and the United Nations sphere standard of unmet need for family planning. Age, wealth quantile, media exposure, and region were significantly associated with unmet need for family planning. Hence, there is the need to implement consistently effective family planning policies among AGYW living in developing regions of Ethiopia. Moreover, Public health policies and interventions that improve the existing strategies to improve media exposure of AGYW on family planning issues and increase the wealth status of households should be designed and implemented to reduce the unmet need for family planning in Ethiopia.

Inequalities in Childhood Immunisation in South Asia.

Identifying the inequalities associated with immunisation coverage among children is crucial. We investigated the factors associated with complete immunisation among 12- to 23-month-old children in five South Asian countries: Afghanistan, Bangladesh, India, Nepal, and Pakistan, using nationally representative data sets from the Demographic and Health Survey (DHS). Descriptive statistics, bivariate association, and logistic regression analyses were employed to identify the prevalence and the factors in each country that affect the likelihood of full childhood immunisation coverage. The complete childhood immunisation coverage varied significantly within each country in South Asia. Afghanistan had the lowest immunisation rates (42.6%), whereas Bangladesh ranked the highest in complete childhood immunisation rates, at 88.2%. Similarly, 77.1% of Indian children, 79.2% of Nepali children, and 62.2% of Pakistani children were completely immunised. Household wealth status strongly correlated with full childhood immunisation in Afghanistan, India, and Pakistan at the bivariate level. The results from the logistic regression showed that a higher maternal educational level had a statistically significant association with complete childhood immunisation in all countries compared to mothers who did not attend any school. In conclusion, the study revealed the inequalities of complete childhood immunisation within South Asia. Governments must be proactive in their endeavours to address universal and equitable vaccine coverage in collaboration with national and international stakeholders and in line with the relevant Sustainable Development Goals.

Trends and Determinants of Birth Registration Completeness in Zimbabwe, 2005-2015

Childbirth registration in Zimbabwe has decreased over the years, yet the risk factors associated with this incompleteness have not been explored. This study investigates the trends in birth registration completeness and factors associated with the decrease in birth registration among children aged 0-5 years from 2005-2015. We use data from the, 2005-06, 2010-11 and 2015 Zimbabwe Demographic and Health Survey. Trends in birth registration completeness based on survey year were calculated and multivariable logistic regression models were used to estimate the predictors of birth registration. Birth registration completeness was 75.4 percent, 47.3 percent, and 43.8 percent in 2005, 2010, and 2015, respectively. Inequities in birth registration completeness become apparent when examined by wealth, urban/rural location, geographical region, maternal education, healthcare utilisation, and marital status. Child age, maternal education, marital status, household wealth status, residence, province, and delivery place were significant predictors of birth registration. Efforts to improve birth registration in Zimbabwe should target children born at home, children born to single and young mothers, and children whose mothers are poor and reside in rural areas.

Chronic Undernutrition and Associated Factors Among Children Aged 6 to 59 Months in South Ari, South Omo Zone, Ethiopia: A Community-Based Cross-Sectional Study.

Chronic undernutrition (stunting) among children is associated with an increased risk of morbidity and mortality. The global community is committed to end all forms of malnutrition by 2030. Regardless of this, children are suffering from some form of malnutrition but the reason is unclear. This study thus was intended to identify stunting and associated factors among children aged 6 to 59 months in the South Ari Woreda of South Omo Zone. A community-based cross-sectional study was conducted in South Ari Woreda from 1, January 2022 to 30, February 2022, and 409 children participated. A simple random sampling technique was used to identify study participants, and mothers/caregivers were interviewed. Data on sociodemographic, economic, and environmental determinants were collected by trained professional nurses using interviewer-administered questionnaires and anthropometric data were collected via weighting and measuring the height/length of the child. Emergency Nutrition Assessment for Standardized Monitoring and Assessment of Relief and Transitions 2020 software was used to generate an anthropometric index, and a child with a height for age index below -2standard deviations of the standard population was considered stunted. Factors of stunting were assessed using multivariate binary logistic regression at a 5% significance level. The study revealed that 44.0% (95% confidence interval (CI) = 39.19%-48.81%) of children were stunted in the study area. Household's wealth status (the poorest; adjusted odds ratio (AOR) = 4.14 [95% CI = 2.08-8.22] and poor; AOR = 3.31 [95% CI = 1.60-6.82]), improper solid waste management practice of the household (AOR = 2.67 [95% CI = 1.56-4.55]), and the children sleeping under insecticide-treated bed nets (ITN) (AOR = 0.37 [95%CI = 0.22-0.60]) were statistically significantly associated with stunting status of the children. Stunting among the children in the study area was very high. Improving household's (HH) economy, safe management of domestic solid waste, and ensuring that the children are sleeping under ITNs are expected to reduce stunting.

Diabetes, Hypertension, and Comorbidity among Bangladeshi Adults: Associated Factors and Socio-Economic Inequalities.

Diabetes, hypertension, and comorbidity are still crucial public health challenges that Bangladeshis face. Nonetheless, very few studies have been conducted to examine the associated factors, especially the socioeconomic inequalities in diabetes, hypertension, and comorbidity in Bangladesh. This study explored the prevalence of, factors connected with, and socioeconomic inequalities in diabetes, hypertension, and comorbidity among Bangladeshi adults. We used the Bangladesh Demographic and Health Survey (BDHS) data set of 2017-2018. A total of 12,136 (weighted) Bangladeshi adults with a mean age of 39.5 years (±16.2) participated in this study. Multilevel (mixed-effect) logistic regression analysis was employed to ascertain the determinants of diabetes, hypertension, and comorbidity, where clusters were considered as a level-2 factor. The concentration curve (CC) and concentration index (CIX) were utilized to investigate the inequalities in diabetes, hypertension, and comorbidity. The weighted prevalence of diabetes, hypertension, and comorbidity was 10.04%, 25.70%, and 4.47%, respectively. Age, body mass index, physical activity, household wealth status, and diverse administrative divisions were significantly associated with diabetes, hypertension, and comorbidity among the participants. Moreover, participants' smoking statuses were associated with hypertension. Women were more prone to hypertension and comorbidity than men. Diabetes (CIX: 0.251, p &lt; 0.001), hypertension (CIX: 0.071, p &lt; 0.001), and comorbidity (CIX: 0.340, p &lt; 0.001) were higher among high household wealth groups. A pro-wealth disparity in diabetes, hypertension, and comorbidity was found. These inequalities in diabetes, hypertension, and comorbidity emphasize the necessity of designing intervention schemes geared towards addressing the rising burden of these diseases.

Examining the predictors of healthcare facility choice for outpatient care among older adults in India using Andersen’s revised healthcare utilization framework model

In India, the demand for outpatient care is substantially higher than inpatient care among older adults. Therefore, the current study examines the level, patterns, and factors associated with outpatient care use. The present research used data from the first wave of the Longitudinal Ageing Study in India (LASI, 2017-18). A total of 34,588 older adults (45years and above) who accessed outpatient healthcare services in one year prior to the survey were included in this study. A bivariate chi-square test was applied to present the percentage distribution of types of outpatient healthcare utilization by background characteristics and healthcare responsiveness. Multinomial logistic regression analyses were employed to explore the interplay of outpatient healthcare utilization and allied predisposing, enabling, and need factors. About 63.7% of total older adults used a private facility, followed by22.8% used a public facility, and 13.5% used other facilities. Years of schooling, household wealth status, place of residence, self-rated health, and health insurance were all found to be significant determinants of public or private facility use. In contrast, respondents' sex was found to be a significant determinant of private healthcare use only. The study finds that there was inadequate healthcare reaction to public health facilities. The current study revealed that the use of private facility for outpatient care is noticeably high in India. Older adults' educational attainments, health insurance coverage, and householdlevel economic background were found to be significant factors in healthcare choice. The current study emphasizes the need to strengthen public healthcare services for outpatient care.

Selected physical and chemical properties of soil under different agroecological zone in Gedeo Zone, Southern Ethiopia

Soil fertility is the ability of the soil to provide favorable chemical, physical and biological characteristics to sustain plant growth. Its physicochemical properties are greatly influenced by altitude and farmer wealth status. This study aimed to examine the differences in selected soil physicochemical properties under three agroecological zone based on altitude gradient (upper, middle, and lower) and wealth class (rich, medium, and poor) in the organic agriculture dominant area of the Gedeo zone, southern Ethiopia. Soil samples were collected from the field under organic agriculture. A total of 216 composite soil samples 3(altitude) 12 (wealth class) 3(replication) and 2 soil depth (0–30 and 30–60 cm) were collected and analyzed for some selected soil physical and chemical properties using standard soil analytical procedures. Data were subjected to a two-way analysis of variance to determine the effects of agroecological zones and wealth status of households on the soil properties. The result showed that soil physical properties such as sand (p < 0.01), clay (p < 0.05) and bulk density (BD) (p < 0.01) were significantly affected by altitudinal gradients. Soil organic carbon (SOC), cation exchange capacity (CEC), total nitrogen (TN) and phosphorus (P) were in the suitable range for agricultural soil, suggesting that the organic agricultural practices employed in the study area might be contributed to improved soil fertility. Soil pH (H2O, (p < 0.01), CEC (p < 0.05), SOC % (p < 0.001), TN % (p < 0.05), P(p < 0.001) and K (p < 0.05) were significantly varied due to difference in agroecological zone. Similarly, wealth class of farmer had significant influence on soil pH (H2O) (p < 0.001), SOC (p < 0.001) and P (p < 0.001). The results highlight the importance of the agroecological zone and wealth status of farmer households on soil fertility improvements in the study area. Hence, during the implementation of the soil fertility policy, considering the altitude and wealth status of the farmer is recommended to improve soil fertility.

Trends and patterns of inequalities in using facility delivery among reproductive-age women in Bangladesh: a decomposition analysis of 2007–2017 Demographic and Health Survey data

ObjectivesThe prime objectives of the study were to measure the prevalence of facility delivery, assess socioeconomic inequalities and determine potential associated factors in the use of facility delivery in Bangladesh.DesignCross-sectional.SettingThe...

Factors associated with health facility delivery among reproductive age women in Nepal: an analysis of Nepal multiple indicator cluster survey 2019

BackgroundDespite existing efforts to improve maternal health in Nepal, delivery in a health facility with skilled providers is still a major health concern in Nepal. This study aimed to examine the factors associated with delivery in a health facility with skilled providers among women aged 15–49 years in Nepal.MethodsThis study used data from Nepal Multiple Indicator Cluster Survey 2019, a nationally representative cross-sectional survey. This survey was a two-stage, stratified cluster sampling. A total of 1,950 married women aged 15–49 years who had at least one live birth in the last two years preceding the survey were included in the analysis. Bivariate and multivariate logistic regression analyses were performed in this study.ResultsSeventy-five percent of women are delivered in a health facility with skilled providers. Women from urban areas (AOR = 1.74, p < 0.01), women residing in Sudurpaschim province (AOR = 5.64, p < 0.001), women with first parity (AOR = 2.82, p < 0.001), and women from rich household status (AOR = 4.60, p < 0.001) and women who attained at least four ANC visits (AOR = 10.81, p < 0.001) were associated with higher odds of delivering in a health facility. Women who were more educated and used the internet were more likely to deliver in a health facility by a skilled provider.ConclusionPlace of residence, household wealth status, and ANC visits appear to be the strongest predictors of health facility delivery with skilled providers in Nepal. Disparities in delivery in a health facility with skilled providers persist among provinces and caste/ethnicity.

Under age five children survival times in Nigeria: a Bayesian spatial modeling approach

BackgroundNigeria is among the top five countries in the world with the highest under-five mortality rates. In addition to the general leading causes of under-five mortality, studies have shown that disparity in sociocultural values and practices across ethnic groups in Nigeria influence child survival, thus there is a need for scientific validation. This study quantified the survival probabilities and the impact of socioeconomic and demographic factors, proximate and biological determinants, and environmental factors on the risk of under-five mortality in Nigeria.MethodsThe Kaplan-Meier survival curve, Nelson Aalen hazard curve, and components survival probabilities were estimated. The Exponential, Gamma, Log-normal, Weibull, and Cox hazard models in a Bayesian mixed effect hierarchical hazard modeling framework with spatial components were considered, and the Deviance and Watanabe Akaike information criteria were used to select the best model for inference. A 5% level of significance was assumed throughout this work. The 2018 Nigeria Demographic and Health Survey dataset was used, and the outcome variable was the time between birth and death or birth and the date of interview for children who were alive on the day of the interview.ResultsFindings show that the probability of a child dying within the first two months is 0.04, and the probability of a boy child dying before attaining age five is 0.106, while a girl child is 0.094 probability. Gender, maternal education, household wealth status, source of water and toilet facility, residence, mass media, frequency of antenatal and postnatal visits, marital status, place of delivery, multiple births, who decide healthcare use, use of bednet are significant risk factors of child mortality in Nigeria. The mortality risk is high among the maternal age group below 24 and above 44years, and birth weight below 2.5Kg and above 4.5Kg. The under-five mortality risk is severe in Kebbi, Kaduna, Jigawa, Adamawa, Gombe, Kano, Kogi, Nasarawa, Plateau, and Sokoto states in Nigeria.ConclusionThis study accentuates the need for special attention for the first two months after childbirth as it is the age group with the highest expected mortality. A practicable way to minimize death in the early life of children is to improve maternal healthcare service, promote maternal education, encourage delivery in healthcare facilities, positive parental attitude to support multiple births, poverty alleviation programs for the less privileged, and a prioritized intervention to Northern Nigeria.

Skilled birth attendant utilization trends, determinant and inequality gaps in Ethiopia

BackgroundGlobally over half a million women die every year from potentially preventable and treatable pregnancy and childbirth complications; of which 99% occur in low-and middle-income countries (LMICs). The utilization of skilled birth attendants can timely identify treatable birth complications and save lives. However, utilization of services remained low in LMICs. This study aimed to examine the trends in the utilization of skilled birth attendants and the inequality gaps in Ethiopia using data from the Demographic and Health Surveys.MethodsWe used data from five rounds of Ethiopian Demographic and Health Surveys conducted in the period 2000–2019. Respondents were women in the reproductive age group who had a live birth within five years preceding the surveys. We used the concentration curve and concentration index to identify the inequalities using the World Health Organization recommended Health Equity Analysis Toolkit software. We did a logistic regression analysis to examine factors associated with skilled birth attendant utilization using STATA version 14.0.ResultThe skilled birth attendant coverage trend showed an increment from 5.7% in 2005 to 49.8% in 2019. The inequality gaps within the wealth, residence and education categories also showed a reduction over time. The odds of utilizing SBA were higher among those having primary, secondary, and above education status [AOR = 1.61 95%CI (1.33, 1.95)], being in the upper wealth quintile [AOR = 3.46 95%CI (1.8, 4.31)] and living in urban areas [AOR = 3.53 95%CI (1.88, 6.64)].ConclusionThe skilled birth attendant coverage trend showed a steady increase from 2005 to 2019 but if we continue with the current pace, it will be difficult to achieve the national target. The inequality gaps in household wealth status and residency area remain high. Efforts like strengthening the health system and engaging multisectoral agents need to be given priority to further reach the poorest and those living in rural areas to achieve national and international targets.

Prevalence and determinants of wasting among under-5 Egyptian children: Application of quantile regression.

Wasting is one of the symptoms of malnutrition that has been connected to the deaths of malnourished children. This study was intended to explain the effect of socio-demographic and economic factors on under-5 wasting by evaluating their conditional effect across the distribution of weight-for-height Z (WHZ) scores using the quantile regression (QR) model. The weighted sample which included 13,680 children under 5 years was taken from the countrywide Egyptian DHS 2014 survey. The results depicted that about 2% of Egyptian children were severely wasted, with the prevalence of wasting being around 8%. It was discovered that across the WHZ distribution, the child's features, maternal characteristics, father's education, and social factors had significant but varied contributions in explaining the wasting status of under-5 children. It was revealed that female children had a significant weight advantage, notably 0.21 standard deviation (SD) higher weight at the 95th quantile over their male counterparts. The WHZ score was also found to be significantly positively associated with both age and household's wealth status at the lower and upper tails of the WHZ distribution, respectively. Moreover, in comparison with children whose mothers were underweight, those whose mothers were normal or overweight had higher WHZ scores, with a 1.45 SD increase in WHZ scores at the 95th quantile for mothers who were normal weights. Furthermore, the children who were breastfed, whose mothers received antenatal care (ANC) services, and/or who had educated parents had an advantage in terms of WHZ scores than their counterparts. In addition, the children with higher birth order and/or who resided in urban areas had weight disadvantages compared to their counterparts. Therefore, in order to improve children's nutritional status and achieve the Sustainable Development Goals (SDGs) by 2030, the government and public-private owner organizations must work together at the community level focusing on vulnerable groups.

Exploring spatial variations in level and predictors of unskilled birth attendant delivery in Bangladesh using spatial analysis techniques: Findings from nationally representative survey data.

BackgroundBangladesh has failed to meet the United Nations goal for reducing maternal mortality in the last decade. The high prevalence of unskilled birth attendant (UBA) delivery (47%) has resulted in negative consequences for the health of mothers and newborn babies in the country. Spatial variations in UBA delivery and its predictors are yet to be explored in Bangladesh, which could be very helpful in formulating cost-effective policies for reducing that. This study examines the spatial variations in UBA delivery and its predictors in Bangladesh.MethodsThis study analyzed the characteristics of 672 clusters extracted from the 2017/18 Bangladesh Demographic and Health Survey, and healthcare facility data from the 2017 Bangladesh Health Facility Survey. These data were analyzed using descriptive and spatial analyses (hot spot analysis, Ordinary Least Squares Regression, and Geographically Weighted Regression) techniques.ResultsStatistically significant hot spots of UBA delivery were concentrated in parts of the Mymensingh, Sylhet, Barishal, and Rangpur regions, while Khulna was the safest region. Predictive strengths of the statistically significant predictors of spatial variation in UBA delivery were observed to vary considerably across the regions. Poorest household wealth status and less than four antenatal care contacts emerged as strong predictors of UBA delivery in all the aforementioned hot spot-stricken regions, except Barisal. Additionally, primiparity and all secondary education or higher were strong predictors of lower UBA delivery rates in Mymensingh and Sylhet, while poorer household wealth status was also a strong predictor of UBA delivery in Sylhet. Multiparity was an additional strong predictor of UBA delivery in Rangpur. In Barisal, only poorer household wealth status exerted a strong positive influence on UBA delivery.ConclusionsThe remarkable spatial variations in UBA delivery and its predictors’ strengths indicate that geographically-targeted interventions could be a cost-effective method for reducing the UBA delivery prevalence in Bangladesh, thereby improve maternal and child health.