Poorest Quintile Research Articles

Anaemia among lactating adolescents (15–19 years) in India: a repeated cross-sectional analysis of the NFHS data (2005–2021)

BackgroundAnaemia continues to be a pressing public health concern in India. Despite the high burden of anaemia among lactating adolescents in the country, research addressing this concern among this population remains scarce. Hence, this study attempted to examine the prevalence and determinants of anaemia among lactating adolescents in India.MethodsWe used data from three latest rounds of the National Family Health Survey (NFHS) carried out in 2005-06, 2015-16, and 2019-21 and analysed a pooled sample of 10,689 lactating adolescents aged 15–19 years from these three rounds. Bivariate statistics was used to analyse the prevalence of anaemia according to the background characteristics of lactating adolescents. Further, binary multivariate logistic regression was carried out to examine the factors associated with anaemia in the study population.ResultsThree in every five lactating adolescents from the pooled sample were found to have anaemia (66.98% in NFHS-3, 61.08% in NFHS-4 and 66.27% in NFHS-5). Lactating adolescents with a higher education had a 30% lower likelihood [adjusted odds ratio (AOR): 0.70, 95% CI: 0.49–1.01, p = 0.050] of being anaemic compared to those with no education. The likelihood of being anaemic among the poorest quintile was 41% (AOR: 1.41, 1.12-1.77; p = 0.003) higher than those from the richest quintile. Lactating adolescents from the Scheduled Tribe category had higher odds (AOR: 1.29, 95% CI: 1.01–1.46, p = 0.001) of anaemia than those categorised as ‘Others’. Those living in rural areas were 22% more likely to suffer from anaemia (AOR: 1.22, 95% CI: 1.00-1.26, p = 0.050) compared to their urban counterparts. Additionally, underweight lactating adolescents were 15% more likely (AOR: 1.15, 95% CI: 1.05–1.26, p = 0.002) to be anaemic than those with normal BMI. Odds of being anaemic were higher among the ones receiving supplementary nutrition during pregnancy (AOR: 1.18, 95% CI: 1.08–1.29, p < 0.001) in contrast to those not receiving.ConclusionThe consistently high prevalence of anemia among lactating adolescents, especially among those with lower education level, rural residence, underweight status, and belonging to ST category and poorest quintile, underscore the urgent need for targeted public health interventions to address and reduce anemia in this population.

Refraining from seeking dental care among the Sámi in Sweden: a cross-sectional study

BackgroundWhile equity in health care is the core of the Swedish health system, social inequalities in accessing health care, particularly regarding dental care, exist. There is however no information on how the Sámi population is affected. This study aimed to assess the prevalence and risk factors for refraining from seeking dental care among the Sámi in Sweden.MethodsA Sámi sample was constructed from three pre-existing registers. Among the 9,249 invitations for individuals aged 18–84 years old, 3,779 answered the survey during February–May 2021. We first calculated frequencies and proportions of the independent variables in terms of socio-economic, socio-demographic, and cultural-related factors as well as the outcome, refraining from dental care. Then, we summarized the magnitude of the association between the independent variables and self-reported refrain from dental care with the prevalence difference (PD) using the 95% confidence interval (95% CI) for inferential purposes.ResultsOverall, 17.5% of the participants refrained from seeking dental care despite self-reported need in the last three months, with almost the same proportion between men and women. Among the socio-demographic factors, being in the 30–44 years group (PD = 8.0; 95% CI: 3.59, 12.48), in the 45–64 group (PD = 7.3; 95% CI: 2.96, 11.61) and in the 65–84 group (PD = 5.4; 95% CI: 0.92, 9.78) as well as being divorced/widow-er (PD = 6.7; 95% CI: 2.73, 10.70) and unmarried (PD = 3.1; 95% CI: 0.23, 6.04) were statistically significantly associated with refraining from seeking dental care. Among the socio-economic variables, those in the middle-income quintile (PD = 5.3; 95% CI: 1.28, 9.35), in the poor (PD = 8.1; 95% CI: 3.64, 12.51) and poorest (PD = 8.0 95% CI: 3.48, 12.50) quintiles, and especially those experiencing economic stress once (PD = 9.2; 95% CI: 2.93, 15.48) and several times (PD = 26.5; 95% CI: 19.50, 33.43), were strongly associated with refraining.ConclusionsApproximately one in six of the Sámi participating in this study refrained from seeking dental care despite self-reported need in the last three months. Those who experienced economic difficulties were the most affected group. To achieve equity in dental health care in Sweden, policies removing economic barriers to access dental health care should be implemented.

Exploring the Association Between Floods and Diarrhea among Under-five Children in Rural India.

Flood is one of the major public health concerns increasing the risk of childhood diarrhea. This study aims to explore the association of floods with diarrhea among under-five children in rural India. A cross-sectional study was carried out using large-scale nationally representative data from the National Family Health Survey-5. The Central Water Commission reports between the years 2018 and 2020 were used to group all the districts as non-flood-affected districts or flood-affected districts. Bivariate and multivariate logistic regression models were employed to assess the association of floods with childhood diarrhea. The prevalence of diarrhea was higher among children exposed to three consecutive floods during the year 2019-21 than those children not exposed to flood. Children exposed to flood three times between the year 2018-19 to 2020-21 were associated with a 34% higher likelihood of developing diarrhea than those children exposed to flood one or two times. Our study suggests that community health workers should target mothers belonging to the poor wealth quintile, young mothers, and mothers with young infants and more children to receive child health related counseling in flood-prone areas.

Demographic, socioconomic, and health correlates of sleep quality and sleep duration among community-dwelling older adults in India

BackgroundRecent research has revealed that today’s older adults report more sleep problems than their predecessors, a trend compounded by expanding social stratification. As such, this study examined the demographic, socioeconomic, and health correlates of sleep quality and sleep duration among community-dwelling older adults in India.MethodsThe current study sample draws on data from 7118 respondents aged 50 years and over participating in the World Health Organization’s Study on global AGEing and adult health (WHO-SAGE) wave-2 dataset. Sleep quality (good, moderate, and poor) and sleep duration (in hours and minutes) were self-reported. Adjusted multivariable logistic regression models were employed to examine the associations between sleep quality and sleep duration and several demographic, socioeconomic, and health indicators.ResultsA total of 12.84% and 36.1% of older adults reported long (> 8 h) and short (< 7 h) sleep, respectively. Older adults with primary education had lower odds of poor sleep [aOR: 0.85, CI: 0.73–0.99] than peers with no formal education. The odds of poor sleep were lower among those in higher wealth quintiles than those in the poorest quintile. Older adults with higher education had higher odds of short sleep [aOR: 1.36, CI: 1.06–1.74], and those with primary education had lower odds of long sleep [aOR: 0.70, CI: 0.54–0.91] than those without formal education (base category: age-appropriate sleep, i.e., 7–8 h). Older adults who were widowed had lower odds of both short [aOR: 0.82, CI: 0.68–0.98] and long sleep [aOR:0.74, CI: 0.58–0.95] compared to those who were currently married. Older individuals with adequate nutritional intake reported lower odds of short [aOR:0.59, CI: 0.49–0.72] and higher odds of long sleep [aOR:1.52, CI: 1.20–1.93] relative to their counterparts. Older adults who reported chronic conditions and body pain had higher odds of poor sleep and short sleep than their counterparts.ConclusionsWe identified significant associations between several unmodifiable factors, including age, education, and marital status, and modifiable factors such as dietary intake, body pain, and pre-existing chronic ailments, and sleep quality and sleep duration. Our findings can assist health care providers and practitioners in developing a more holistic and empathic approach to care. Moreover, that several demographic, socioeconomic, and health-related factors are consequential for older adults’ sleep health suggests that early detection through screening programs and community-based interventions is vital to improving sleep among older Indians who are most susceptible to sleep problems.

Prevalence and determinants of skilled birth attendance among young women aged 15–24 years in Northern Nigeria: evidence from multiple indicator cluster survey 2011 to 2021

BackgroundChildbirth among adolescents and young mothers has been linked to various complications, including perinatal mortality, preterm births, low birth weight, and infections, which collectively contribute to the high burden of neonatal and maternal mortality. Despite some progress, the prevalence of skilled birth attendance, proven to improve maternal and newborn health outcomes, remains consistently low in Northern Nigeria. This study assessed the prevalence and determinants of Skilled Birth Attendance (SBA) among young women ages 15–24 years in Northern Nigeria.MethodsThis pooled cross-sectional study included 6,461 young women aged 15–24 years from 2011, 2016 and 2021 multiple indicator cluster surveys in Nigeria. We used a binary logistic regression model to assess the factors associated with skilled birth attendance at 95% confidence intervals (CIs) with computed adjusted odds ratios (aORs).ResultsThe prevalence of skilled birth attendance among young women in Northern Nigeria increased from 25.6% in 2011 to 33.1% in 2021. Women who were atleast 18 years of age at first marriage had 2.48 higher odds of SBA (aOR 2.48, 95% CI = 1.54–4.00) compared those less than 18 years of age at first marriage after controlling for confounders. Young women from rich household wealth quintile were more likely to utilize SBA (aOR 1.84, 95% CI = 1.11–3.14) compared to young women from poor household wealth quintile. In terms of education, those women who had secondary (aOR = 2.52, 95% CI = 1.77–3.56) and higher education (aOR = 10.01, 95% CI = 2.21–49.31) had higher odds of SBA compared to those with no education. Individual women with media exposure had 59% higher likelihood (aOR = 1.59, 95% CI = 1.16–2.19), women who attended 4 or more antenatal care visits during their last pregnancy demonstrated 2.28 times higher odds (aOR = 2.28, 95% CI = 1.67–3.09), while those who reported no intention for their last pregnancy were 37% less likely (aOR = 0.63, 95% CI = 0.42–0.96) to utilize SBA.ConclusionA slight increase in the prevalence of skilled birth attendance was observed over the 10-year period. For a significant boost in skilled birth attendance among young women in Northern Nigeria, particular attention needs to be paid to girls’ child education, delay in marriage, economic empowerment of young women, and strategic ways of leveraging trained community health workers (CHIPs) to bring reproductive healthcare close to young women living in rural areas.

Inequalities in large-scale breastfeeding programmes in Bangladesh, Burkina Faso and Vietnam.

Inequalities in breastfeeding programmes and practices have slowed global progress in providing the life-saving protection of breastfeeding for millions of infants despite well-known life-long impacts. As breastfeeding interventions are scaled up, inequalities in coverage and breastfeeding practices should be tracked, particularly in disadvantaged groups, who are likely to suffer the most serious health and developmental impacts of poor childhood nutrition. The literature provides evidence of inequalities in breastfeeding practices, but research is limited on socioeconomic disparities in the coverage of breastfeeding interventions. This paper (1) compares inequalities in breastfeeding practices in intervention and nonintervention areas and (2) documents inequalities in programme coverage by type of intervention. We disaggregated endline evaluation surveys in Bangladesh, Burkina Faso and Vietnam, where rigorous evaluations had documented significant overall improvements, and analysed whether inequalities in breastfeeding practices and programme coverage differed by treatment areas. We used Erreygers index to quantify inequalities and found that breastfeeding practices were largely pro-poor; intervention coverage was not consistently pro-poor. While counselling coverage often favoured women from the poorest quintile, public education/media coverage consistently favoured better-off women. Inequalities favoured more educated mothers in the coverage of combined interventions. None of the programmes had explicit equality objectives. The results indicate the need for introducing specific actions to reduce inequalities in breastfeeding policies and programmes. This is a priority unfinished agenda for nutrition programming.

Depression and associated factors among older people in Vietnam: Findings from a National Aging Survey.

Depression is one of the most common mental health disorders among older people. Depressive symptoms are often overlooked and untreated in primary care settings. This study aims to assess the prevalence of depressive symptoms and associated factors among older people in Vietnam. The study analyzed data from the Vietnam National Aging Survey (VNAS) conducted in 2022 with a nationally representative sample of 3,006 older people aged 60 and over in 12 provinces. The 15-item Geriatric Depression Scale (GDS-15) was used to assess depressive symptoms. Bivariate and multiple logistic regression analyses were used to explore the association between depressive symptoms and other related factors such as sociodemographic and economic characteristics, social support, health status, Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) limitations, chronic diseases, cigarette smoking status, alcoholic drinking, and domestic violence. The prevalence of depressive symptoms among older people was 20.2%. The associated factors that increase the odds of having depression among older people were female gender (OR = 2.21, 95% CI 1.34-3.62), living in rural areas (OR = 1.83, 95% CI 1.15-2.89), the poorest quintile (OR = 2.26, 95% CI 1.39-3.66), self-rated poor health (OR = 11.68, 95% CI 4.96-27.49), ADL limitations (OR = 2.12, 95% CI 1.51-2.99), IADL limitation (OR = 1.61 95% CI 1.16-2.25), and experiencing domestic violence in the last 12 months (OR = 6.66, 95% CI 4.00-11.05). Depression symptoms were prevalent among older people in Vietnam. Depression screening for older people should be included in primary care settings for early identification and treatment of depression.

Anthropometric failures and its predictors among under five children in Ethiopia: multilevel logistic regression model using 2019 Ethiopian demographic and health survey data

BackgroundComposite Index of Anthropometric Failure (CIAF) combines all three forms of anthropometric failures to assess undernutrition status of children. There is no study on CIAF to identify the real and severe form of under nutrition among Ethiopian children that addressed community level factors. So, this study determined CIAF and identified important factors which helps to design appropriate intervention strategies by using multi-level advanced statistical model.MethodsThe study included 5,530 under five children and utilized a secondary data (EMDHS 2019) which was collected through community-based and cross-sectionally from March 21 to June 28, 2019. Composite index of anthropometric failure among under five children was assessed and a two-stage sampling technique was used to select the study participants. Descriptive summary statistics was computed. A multi-level binary logistic regression model was employed to identify important predictors of CIAF in under five children. Adjusted odds ratio with its 95% CI was estimated and level of significance 0.05 was used to determine significant predictors of CIAF.ResultsThe prevalence of composite index of anthropometric failure (CIAF) was 40.69% (95% CI: 39.41, 42.00) in Ethiopia. Both individual and community level predictors were identified for CIAF in under five children. Among individual level predictors being male sex, older age, short birth interval, from mothers who have not formal education, and from poor household wealth quintile were associated with higher odds of CIAF among under five children. Low community women literacy and being from agriculturally based regions were the community level predictors that were associated with higher odds of CIAF in under five children in Ethiopia.ConclusionsThe burden of composite index of anthropometric failure in under five children was high in Ethiopia. Age of child, sex of child, preceding birth interval, mother’s education, household wealth index, community women literacy and administrative regions of Ethiopia were identified as significant predictors of CIAF. Therefore, emphasis should be given for those factors to decrease the prevalence of CIAF in under five children in Ethiopia.

Progress towards universal health coverage and inequalities in infant mortality: an analysis of 4·1 million births from 60 low-income and middle-income countries between 2000 and 2019

Expanding universal health coverage (UHC) might not be inherently beneficial to poorer populations without the explicit targeting and prioritising of low-income populations. This study examines whether the expansion of UHC between 2000 and 2019 is associated with reduced socioeconomic inequalities in infant mortality in low-income and middle-income countries (LMICs). We did a retrospective analysis of birth data compiled from Demographic and Health Surveys (DHSs). We analysed all births between 2000 and 2019 from all DHSs available for this period. The primary outcome was infant mortality, defined as death within 1 year of birth. Logistic regression models with country and year fixed effects assessed associations between country-level progress to UHC (using WHO's UHC service coverage index) and infant mortality (overall and by wealth quintile), adjusting for infant-level, mother-level, and country-level variables. A total of 4 065 868 births to 1 833 011 mothers were analysed from 177 DHSs covering 60 LMICs between 2000 and 2019. A one unit increase in the UHC index was associated with a 1·2% reduction in the risk of infant death (AOR 0·988, 95% CI 0·981-0·995; absolute measure of association, 0·57 deaths per 1000 livebirths). An estimated 15·5 million infant deaths were averted between 2000 and 2019 because of increases in UHC. However, richer wealth quintiles had larger associated reductions in infant mortality from UHC (quintile 5 AOR 0·983, 95% CI 0·973-0·993) than poorer quintiles (quintile 1 0·991, 0·985-0·998). In the early stages of UHC, UHC expansion was generally beneficial to poorer populations (ie, larger reductions in infant mortality for poorer households [infant deaths per 1000 per one unit increase in UHC coverage: quintile 1 0·84 vs quintile 5 0·59]), but became less so as overall coverage increased (quintile 1 0·64 vs quintile 5 0·57). Since UHC expansion in LMICs appears to become less beneficial to poorer populations as coverage increases, UHC policies should be explicitly designed to ensure lower income groups continue to benefit as coverage expands. UK National Institute for Health and Care Research.

The association between neighborhood obesogenic factors and prostate cancer risk and mortality: the Southern Community Cohort Study.

Prostate cancer is one of the leading causes of cancer-related mortality among men in the United States. We examined the role of neighborhood obesogenic attributes on prostate cancer risk and mortality in the Southern Community Cohort Study (SCCS). From the total of 34,166 SCCS male participants, 28,356 were included in the analysis. We assessed the relationship between neighborhood obesogenic factors [neighborhood socioeconomic status (nSES) and neighborhood obesogenic environment indices including the restaurant environment index, the retail food environment index, parks, recreational facilities, and businesses] and prostate cancer risk and mortality by controlling for individual-level factors using a multivariable Cox proportional hazards model. We further stratified prostate cancer risk analysis by race and body mass index (BMI). Median follow-up time was 133 months [interquartile range (IQR): 103, 152], and the mean age was 51.62 (SD: ± 8.42) years. There were 1,524 (5.37%) prostate cancer diagnoses and 98 (6.43%) prostate cancer deaths during follow-up. Compared to participants residing in the wealthiest quintile, those residing in the poorest quintile had a higher risk of prostate cancer (aHR = 1.32, 95% CI 1.12-1.57, p = 0.001), particularly among non-obese men with a BMI < 30 (aHR = 1.46, 95% CI 1.07-1.98, p = 0.016). The restaurant environment index was associated with a higher prostate cancer risk in overweight (BMI ≥ 25) White men (aHR = 3.37, 95% CI 1.04-10.94, p = 0.043, quintile 1 vs. None). Obese Black individuals without any neighborhood recreational facilities had a 42% higher risk (aHR = 1.42, 95% CI 1.04-1.94, p = 0.026) compared to those with any access. Compared to residents in the wealthiest quintile and most walkable area, those residing within the poorest quintile (aHR = 3.43, 95% CI 1.54-7.64, p = 0.003) or the least walkable area (aHR = 3.45, 95% CI 1.22-9.78, p = 0.020) had a higher risk of prostate cancer death. Living in a lower-nSES area was associated with a higher prostate cancer risk, particularly among Black men. Restaurant and retail food environment indices were also associated with a higher prostate cancer risk, with stronger associations within overweight White individuals. Finally, residing in a low-SES neighborhood or the least walkable areas were associated with a higher risk of prostate cancer mortality.

Prevalence and Associated Factors of Multimorbidity among Elderly People of Bangladesh

Background: Human aging is a dynamic and progressive natural process which is depends on interacting hereditary, biological, social, environmental, historical and cultural factors that determine the quality of life of an older individual. Multimorbidity was defined as the co‐occurrence of at least two chronic diseases in a person whether as a coincidence or not. Little attention has been paid to the study of the prevalence of multimorbidity among the elderly in Bangladesh. The study aimed to find out the prevalence and associated factors of multimorbidity among elderly people of Bangladesh. Methods: It was a hospital-based cross-sectional study, conducted in Department of Community Medicine, International Nursing College, Tongi, Bangladesh from January to December 2022. Data were collected from 250 participants. Categorical data were presented as proportion, and continuous data were presented as mean (SD). The Chi-square test and multivariate logistic regression were used to find out the association between frailty and other variables. Results: Total Two hundred fifty eligible elderly persons were approached for the study. So, were analysed (response rate = 85%). The mean age (SD) of the participants was 70 (7.0) years. About half (55.2%) of them were female, 48% were living in a rural areas, and 68% were Muslim by religion. About two-thirds (58%) of participants were married (currently in union), and were living with either their spouses or children. Nearly one-third (64.4%) of participants were illiterate. The prevalence of multimorbidity was significantly higher among women than among men, among illiterate than among literate persons, among persons who belonged to the non-poorest quintiles than among the poorest quintile, and also significantly higher among single than among married persons. The most common disorders were arthritis (57.2%) and hypertension (38.4%). The prevalence of arthritis was significantly higher among the illiterate than among the ..........

Exploration of modern contraceptive methods using patterns among later reproductive-aged women in Bangladesh.

With the rapid increase in the number of women in their later reproductive years (aged 35 and above) in the present decade, the concern surrounding their contraceptive considerations has reached a critical point of importance. This study aims to examine the trends and determinants of modern contraceptive uptake among later reproductive-aged women in Bangladesh. A total of 17,736 women aged 35 and above were included in the analysis, utilizing data from three consecutives Bangladesh Demographic and Health Surveys conducted in 2011, 2014, and 2017-18. The outcome variable was the uptake of modern contraceptive methods (yes or no). The explanatory variables encompassed survey years, individual characteristics of the women, as well as characteristics of their partners and the community. Multilevel logistic regression model was used to explore the association of the outcome variable with explanatory variables. We found that approximately 54% of women aged 35 and more do not use modern contraceptive methods, and there have been no significant shifts in their usage observed over the survey years. Compared to women aged 35-39, women aged 40-45 (aOR = 0.53, 95% CI: 0.49-0.57) and 45-49 (aOR = 0.24, 0.22-0.26) reported lower likelihoods of modern contraceptive method uptake. Higher education correlated with increased uptake of modern contraceptive methods (112%-142%), while partner's education showed a negative association. Later reproductive-aged women in richer (aOR = 0.83, 95% CI: 0.74-0.94) and richest (aOR = 0.76, 95% CI: 0.66-0.88) quintiles reported lower uptake of modern contraceptive methods compared to their counterparts in the poorest quintile. Later reproductive-aged women in Dhaka (aOR = 1.22, 95% CI: 1.07-1.38) and Rajshahi (aOR = 1.37, 95% CI: 1.19-1.59) regions had higher uptake of modern contraception than those residing in the Barishal division. Modern contraceptive methods uptake was 1.22 times higher among women who reported exposure to mass media and 1.19 times higher among women who reported engagement in paid work compared to among women who reported no exposure to mass media and participation in no formal work, respectively. Modern contraceptive methods uptake was 43% higher (aOR = 1.43, 95% CI: 1.32-1.55) in women with more than 2 children compared to those with ≤2 children. The study highlights no significant change in modern contraception uptake among later reproductive-aged women in Bangladesh. This raises concerns about the elevated risk of unintended pregnancies and shorter birth intervals, emphasizing the need for targeted interventions to address the specific needs and preferences of this demographic.

Association between domestic violence and unintended, terminated pregnancy and complications during pregnancy among Indian women: Findings from nationally representative survey

BackgroundWomen experiencing domestic violence might have restrictions in the pregnancy-related decision-making and care-seeking process leading to adverse pregnancy outcomes. We explored the association between domestic violence and undesirable pregnancy events. Methods63,796 women aged 18–49 years covered under the domestic violence module of National Family Health Survey-5, 2019-21. Stratification and clustering in the complex sampling design of the survey were accounted in analysis. Using Poisson regression, prevalence ratio (PR) was reported to provide association of domestic violence with undesirable pregnancy events. ResultsPrevalence of undesirable pregnancy events was 25.0% (95%CI: 24.4%–25.7%) amongst women aged 18–49 years. Prevalence of unintended, terminated pregnancy and complications during pregnancy was 3.2%, 5.1% and 20.9%, respectively. Women aged ≥35 years, educated, unemployed, primi or multi parity, intimate partner/husband being uneducated, facing problem with access to healthcare, belonging to large number of household members (≥4) and poorest or poorer quintile had significantly higher chance of having undesirable pregnancy events. Sexual violence (aPR: 1.11, p = 0.02) had higher chance of having undesirable pregnancy events. ConclusionOne-fourth of reproductive-age group women had undesirable pregnancy events. Sexual violence was significantly associated with these events. Effective policy should protect women from domestic violence to promote maternal well-being.

Impoverishing effects of catastrophic health out-of-pocket payments in Nigeria

Out-of-Pocket (OOP) expenditure on healthcare is a major share of total healthcare expenditure in many developing countries, including Nigeria. Households in different income groups in Nigeria spent a larger share of income mainly on consumption and basic needs, hence, OOP expenditure for health constituted a burden with attendant effects on household well-being. Catastrophic headcount and Overshoot mean positive gap and concentration indexes were used to capture the incidence and severity of catastrophic health expenditure. The poverty headcount, poverty gap, normalized poverty gap, and its mean estimate were used to empirically identify the effect of catastrophic health expenditure using the national poverty line of ₦137,430 per year. Data on 22,110 households with non-zero expenditure were obtained from the 2018/2019 Nigeria Living Standard Survey. The incidence and severity of catastrophic health expenditure were higher for poorest and poor income quintiles using total consumption expenditure and total non-food expenditure at various catastrophic thresholds. The results indicated that about one million Nigerians were pushed into poverty due to OOP expenditure. Widening the coverage of the available social health insurance and implementation of alternative means of healthcare financing would minimize the financial burden on many poorest and poor households.

Are institutional deliveries equitable in the southern states of India? A benefit incidence analysis

BackgroundDespite a commendable rise in the number of women seeking delivery care at public health institutions in South India, it is unclear if the benefit accrues to wealthier or poorer socio-economic groups. The study’s aim was to investigate at how the public subsidy is distributed among Indian women who give birth in public hospitals in the southern regions.MethodsData from the Indian Demographic Health Survey’s fifth wave (NFHS-5, 2019–21) was used in this study. A total of 22, 403 were institutional deliveries across all the southern states of India were included. Out-of-pocket expenditure (OOPE) on childbirth in health institutions was the outcome variable. We used summary statistics, Benefits Incidence Analysis (BIA), concentration index (CI), and concentration curve (CC) were used.ResultsMost women in the lowest, poorest, and medium quintiles of wealth opted to give birth in public facilities. In contrast, about 69% of mothers belonging to highest quintile gave birth in private health institutions. The magnitude of CI and CC of institutional delivery indicates that public sector usage was concentrated among poorer quintiles [CIX: − 0.178; SE: 0.005; p < 0.001] and private sector usage was concentrated among wealthier quintiles [CIX: 0.239; SE: 0.006; p < 0.001]. Benefit incidence analyses suggest that middle quintile of women received the maximum public subsidy in primary health centres (33.23%), followed by richer quintile (25.62%), and poorer wealth quintiles (24.84%). These pattern in the secondary health centres was similar.ConclusionPoorer groups utilize the public sector for institutional delivery in greater proportions than the private sector. Middle quintiles seem to benefit the most from public subsidy in terms of the median cost of service and non-payment. Greater efforts must be made to understand how and why these groups are being left behind and what policy measures can enhance their inclusion and financial risk protection.

Modeling the global impact of reducing out-of-pocket costs for children's surgical care.

Over 1.7 billion children lack access to surgical care, mostly in low- and middle-income countries (LMICs), with substantial risks of catastrophic health expenditures (CHE) and impoverishment. Increasing interest in reducing out-of-pocket (OOP) expenditures as a tool to reduce the rate of poverty is growing. However, the impact of reducing OOP expenditures on CHE remains poorly understood. The purpose of this study was to estimate the global impact of reducing OOP expenditures for pediatric surgical care on the risk of CHE within and between countries. Our goal was to estimate the impact of reducing OOP expenditures for surgical care in children for 149 countries by modeling the risk of CHE under various scale-up scenarios using publicly available World Bank data. Scenarios included reducing OOP expenditures from baseline levels to paying 70%, 50%, 30%, and 10% of OOP expenditures. We also compared the impact of these reductions across income quintiles (poorest, poor, middle, rich, richest) and differences by country income level (low-income, lower-middle-income, upper-middle-income, and high-income countries).Reducing OOP expenditures benefited people from all countries and income quintiles, although the benefits were not equal. The risk of CHE due to a surgical procedure for children was highest in low-income countries. An unexpected observation was that upper-middle income countries were at higher risk for CHE than LMICs. The most vulnerable regions were Africa and Latin America. Across all countries, the poorest quintile had the greatest risk for CHE. Increasing interest in financial protection programs to reduce OOP expenditures is growing in many areas of global health. Reducing OOP expenditures benefited people from all countries and income quintiles, although the benefits were not equal across countries, wealth groups, or even by wealth groups within countries. Understanding these complexities is critical to develop appropriate policies to minimize the risks of poverty.

Contribution of the carbon tax, phase-out of thermoelectric power plants, and renewable energy subsidies for the decarbonization of Chile − A CGE model and microsimulations approach

There are various climate policies to decarbonize the energy matrix of a country. In the case of Chile, a carbon tax of 5 USD/tCO2 was initially implemented, and later, a schedule was established for the phase-out of coal-fired thermoelectric plants, all the above in the absence of subsidies for non-conventional renewable energy (NCRE). This study uses a computable general equilibrium (CGE) model and microsimulations to assess the contribution of current climate policies and other more demanding scenarios that accelerate the decarbonization of the Chilean energy matrix, considering economic, environmental, and distributional impacts. Specifically, carbon taxes are simulated with and without complementary climate policies (phase-out of coal-fired power plants and NCRE subsidies). The results show that the scenarios that combine the three climate policies generate a greater decrease in greenhouse gas emissions (40.4% ∼ 57.5%). Besides, the drop in GDP is more pronounced when coal-fired thermoelectric plants phase out (0.3% additional), and NCRE subsidies contribute to moderately reducing emissions. However, NCRE subsidies reduce the negative effect on households’ expenditure and income, especially in the poorest quintile. Finally, microsimulations show marginal changes in income distribution and an increase of up to 0.4 percentage points in the poverty rate.

Evolution in key indicators of maternal and child health across the wealth gradient in 41 sub-Saharan African countries, 1986–2019

BackgroundAggregate trends can be useful for summarizing large amounts of information, but this can obscure important distributional aspects. Some population subgroups can be worse off even as averages climb, for example. Distributional information can identify health inequalities, which is essential to understanding their drivers and possible remedies.MethodsUsing publicly available Demographic and Health Survey (DHS) data from 41 sub-Saharan African countries from 1986 to 2019, we analyzed changes in coverage for eight key maternal and child health indicators: first dose of measles vaccine (MCV1); Diphtheria-Pertussis-Tetanus (DPT) first dose (DPT1); DPT third dose (DPT3); care-seeking for diarrhea, acute respiratory infections (ARI), or fever; skilled birth attendance (SBA); and having four antenatal care (ANC) visits. To evaluate whether coverage diverged or converged over time across the wealth gradient, we computed several dispersion metrics including the coefficient of variation across wealth quintiles. Slopes and 5-year moving averages were computed to identify overall long-term trends.ResultsAverage coverage increased for all quintiles and indicators, although the range and the speed at which they increased varied widely. There were small changes in the wealth-related gap for SBA, ANC, and fever. The wealth-related gap of vaccination-related indicators (DPT1, DPT3, MCV1) decreased over time. Compared to 2017, the wealth-gap between richest and poorest quintiles in 1995 was 7 percentage points larger for ANC and 17 percentage points larger for measles vaccination.ConclusionsMaternal and child health indicators show progress, but the distributional effects show differential evolutions in inequalities. Several reasons may explain why countries had smaller wealth-related gap trends in vaccination-related indicators compared to others. In addition to service delivery differences, we hypothesize that the allocation of development assistance for health, the prioritization of vaccine-preventable diseases on the global agenda, and indirect effects of structural adjustment programs on health system-related indicators might have played a role.

Trends of risk factors associated with childhood stunting and anaemia in Ghana: evidence from the Demographic Health Survey and Multiple Indicator Cluster Survey (2003-2017).

This study investigated the trend of effect estimates of the key risk factors of childhood stunting and anaemia between 2003 and 2017. A secondary analysis of the Demographic Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) data for the Ghanaian population between 2003 and 2017. Associations of selected socio-demographic (child age and gender; maternal age and education), economic (household wealth), environmental, dietary (minimum dietary diversity and iodine use) and health system (place of delivery and vaccination) factors were explored using the Poisson regression model. Trend analysis was explored using a fitted linear regression line on a time series plot. Ghana. Children under 5 years. The results showed a reduction in the prevalence of stunting and anaemia over the 15-year duration. These health outcomes were found to be negatively associated with a wide array of socio-demographic (child age and gender, maternal age and education, residency), economic (household wealth), dietary (iodised salt use) and health service (place of delivery and vaccination) factors; however, the most consistent statistically significant association was observed between child's age and belonging to the poor wealth quintile. In order to prevent these indicators of child malnutrition, key consideration must be given to the early developmental stages of life. Child health policies must focus on addressing the key contextual factors of child malnutrition.

Association Between Socio-Demographic Characteristics and Women's Knowledge of Human Trafficking

Human trafficking is a serious violation of human rights that disproportionately affects the marginalized individuals, particularly women and girls. This study utilized the data from the 2019 Multiple Indicator Cluster Survey conducted in Nepal to assess the knowledge of currently married women aged 15-49 about human trafficking using a structured questionnaire. The questionnaires were based on the MICS 6 standard questionnaires. The survey used a multistage, stratified cluster probability sampling design and included 14,805 women. In multivariate analysis, respondents in the second to the richest wealth quintiles (aOR range: 1.26-1.56, p&lt;0.001) were more likely to be aware of human trafficking than those in the poorest quintiles. Women with higher secondary or above education (aOR= 29.52, p&lt;0.001), secondary education (aOR= 10.13, p&lt;0.001), and basic education (aOR=2.19, p&lt;0.001) were more likely to be knowledgeable about human trafficking compared to those with no formal education. High, medium, and low media exposure (aOR range: 1.71-4.86, p&lt;0.001) were associated with increased knowledge about human trafficking compared to no exposure. Bivariate analysis revealed that knowledge about human trafficking was significantly associated with education level, wealth index, and urban or rural residence (p&lt;0.001). These findings suggest that interventions to increase knowledge about human trafficking should prioritize women with limited educational opportunities, low wealth status, and those living in rural areas to reduce their vulnerability to trafficking.