Rural‒urban disparities in household catastrophic health expenditure in Bangladesh: a multivariate decomposition analysis.

BACKGROUND: Rural‒urban disparity in catastrophic healthcare expenditure (CHE) is a well-documented challenge in low- and middle-income countries, including Bangladesh, limiting financial protection and hindering the achievement of the Universal Health Coverage target of the United Nations Sustainable Development Goals. However, the factors driving this divide remain poorly understood. Therefore, this study aims to identify the key determinants of the rural‒urban disparity in CHE incidence in Bangladesh and their changes over time. METHODS: We used nationally representative data from the latest three rounds of the Bangladesh Household Income and Expenditure Survey (2005, 2010, and 2016). CHE incidence among households seeking healthcare was measured using the normative food, housing, and utilities method. To quantify covariate contributions to the rural‒urban CHE gap, we employed the Oaxaca-Blinder multivariate decomposition approach, adapted by Powers et al. for nonlinear response models. RESULTS: CHE incidence among rural households increased persistently during the study period (2005: 24.85%, 2010: 25.74%, 2016: 27.91%) along with a significant (p-value ≤ 0.01) rural‒urban gap (2005: 9.74%-points, 2010: 13.94%-points, 2016: 12.90%-points). Despite declining over time, substantial proportions of CHE disparities (2005: 87.93%, 2010: 60.44%, 2016: 61.33%) are significantly (p-value ≤ 0.01) attributable to endowment differences between rural and urban households. The leading (three) covariate categories consistently contributing significantly (p-value ≤ 0.01) to the CHE gaps were composition disparities in the lowest consumption quintile (2005: 49.82%, 2010: 36.16%, 2016: 33.61%), highest consumption quintile (2005: 32.35%, 2010: 15.32%, 2016: 18.39%), and exclusive reliance on informal healthcare sources (2005: -36.46%, 2010: -10.17%, 2016: -12.58%). Distinctively, the presence of chronic illnesses in households emerged as a significant factor in 2016 (9.14%, p-value ≤ 0.01), superseding the contributions of composition differences in household heads with no education (4.40%, p-value ≤ 0.01) and secondary or higher education (7.44%, p-value ≤ 0.01), which were the fourth and fifth significant contributors in 2005 and 2010. CONCLUSIONS: Rural‒urban differences in household economic status, educational attainment of household heads, and healthcare sources were the key contributors to the rural‒urban CHE disparity between 2005 and 2016 in Bangladesh, with chronic illness emerging as a significant factor in the latest period. Closing the rural‒urban CHE gap necessitates strategies that carefully address rural‒urban variations in the characteristics identified above.

Evaluating the roles of energy innovation, fossil fuel costs and environmental compliance towards energy transition in advanced industrial economies.

Given the dire state of climate change, investigating key elements that impact the energy transition process and help monitor progress in greenhouse gas emissions to achieve environmental sustainability is of critical importance. The current study explores the association between energy transition, compliance with environmental agreements, fossil fuels costs, environmental technologies, economic growth, and environmental degradation in G20 economies from 1995 to 2019. Our findings from extensive econometric analysis reveal that economic growth, environmental innovation, renewable energy, and environmental compliance facilitate while fossil fuels and environmental degradation hinder the energy transition process. Our findings conclude that developed countries must focus on alternate energy resources to overcome environmental challenges and subsidize renewable energy and environmental technologies to replace fossil fuels with green energy resources methodologically. Further, policy measures have been discussed in detail in the study.

Correction: The cost-effectiveness of controlling cervical cancer using a new 9-valent human papillomavirus vaccine among school-aged girls in Australia.

[This corrects the article DOI: 10.1371/journal.pone.0223658.].

Correction: Cost-effectiveness evaluations of the 9-Valent human papillomavirus (HPV) vaccine: Evidence from a systematic review.

[This corrects the article DOI: 10.1371/journal.pone.0233499.].

Correction: Changes in inequality of childhood morbidity in Bangladesh 1993-2014: A decomposition analysis.

[This corrects the article DOI: 10.1371/journal.pone.0218515.].

Circular economy, environmental quality and tourism receipts in Europe: A time series data analysis.

The study examines how progress towards a circular economy (CE), patents related to recycling and secondary raw materials as a proxy for innovation, affect tourism receipts. The study uses Autoregressive Distributed Lag (ARDL) and Error Correction Method (ECM) to analyse time series data from EU countries from 2000 to 2020. Our estimates show that there exist long-run and short-run equilibrium relationships. In sum, evidence shows that promoting circular innovative practices, including recycling and using secondary raw materials in tourist destinations, could improve environmental quality and positively impact tourism receipts. The study concludes with policy and practical suggestions for circular economy innovation towards green tourism, destination management, and sustainable tourism.

A latent class analysis of the socio-demographic factors and associations with mental and behavioral disorders among Australian children and adolescents.

BACKGROUND: Previous studies have shown a relationship between socio-demographic variables and the mental health of children and adolescents. However, no research has been found on a model-based cluster analysis of socio-demographic characteristics with mental health. This study aimed to identify the cluster of the items representing the socio-demographic characteristics of Australian children and adolescents aged 11-17 years by using latent class analysis (LCA) and examining the associations with their mental health. METHODS: Children and adolescents aged 11-17 years (n = 3152) were considered from the 2013-2014 Young Minds Matter: The Second Australian Child and Adolescent Survey of Mental Health and Wellbeing. LCA was performed based on relevant socio-demographic factors from three levels. Due to the high prevalence of mental and behavioral disorders, the generalized linear model with log-link binomial family (log-binomial regression model) was used to examine the associations between identified classes, and the mental and behavioral disorders of children and adolescents. RESULTS: This study identified five classes based on various model selection criteria. Classes 1 and 4 presented the vulnerable class carrying the characteristics of "lowest socio-economic status and non-intact family structure" and "good socio-economic status and non-intact family structure" respectively. By contrast, class 5 indicated the most privileged class carrying the characteristics of "highest socio-economic status and intact family structure". Results from the log-binomial regression model (unadjusted and adjusted models) showed that children and adolescents belonging to classes 1 and 4 were about 1.60 and 1.35 times more prevalent to be suffering from mental and behavioral disorders compared to their class 5 counterparts (95% CI of PR [prevalence ratio]: 1.41-1.82 for class 1; 95% CI of PR [prevalence ratio]: 1.16-1.57 for class 4). Although children and adolescents from class 4 belong to a socio-economically advantaged group and shared the lowest class membership (only 12.7%), the class had a greater prevalence (44.1%) of mental and behavioral disorders than did class 2 ("worst education and occupational attainment and intact family structure") (35.2%) and class 3 ("average socio-economic status and intact family structure") (32.9%). CONCLUSIONS: Among the five latent classes, children and adolescents from classes 1 and 4 have a higher risk of developing mental and behavioral disorders. The findings suggest that health promotion and prevention as well as combating poverty are needed to improve mental health in particular among children and adolescents living in non-intact families and in families with a low socio-economic status.

The burden of chronic diseases, disease-stratified exploration and gender-differentiated healthcare utilisation among patients in Bangladesh.

BACKGROUND: Chronic diseases are considered one of the major causes of illness, disability, and death worldwide. Chronic illness leads to a huge health and economic burden, especially in low- and middle-income countries. This study examined disease-stratified healthcare utilisation (HCU) among Bangladesh patients with chronic diseases from a gender perspective. METHODS: Data from the nationally representative Household Income and Expenditure Survey 2016-2017 consisting of 12,005 patients with diagnosed chronic diseases was used. Gender differentiated chronic disease stratified-analytical exploration was performed to identify the potential factors to higher or lower utilisation of healthcare services. Logistic regression with step-by-step adjustment for independent confounding factors was the method used. RESULTS: The five most prevalent chronic diseases among patients were gastric/ulcer (Male/Female, M/F: 16.77%/16.40%), arthritis/rheumatism (M/F: 13.70%/ 13.86%), respiratory diseases/asthma/bronchitis (M/F: 12.09% / 12.55%), chronic heart disease (M/F: 8.30% / 7.41%), and blood pressure (M/F: 8.20% / 8.87%). Eighty-six percent of patients with chronic diseases utilised health care services during the previous 30 days. Although most patients received outpatient healthcare services, a substantial difference in HCU among employed male (53%) and female (8%) patients were observed. Chronic heart disease patients were more likely to utilise health care than other disease types, which held true for both genders while the magnitude of HCU was significantly higher in males (OR = 2.22; 95% CI:1.51-3.26) than their female counterparts (OR = 1.44; 1.02-2.04). A similar association was observed among patients with diabetes and respiratory diseases. CONCLUSION: A burden of chronic diseases was observed in Bangladesh. Patients with chronic heart disease utilised more healthcare services than patients experiencing other chronic diseases. The distribution of HCU varied by patient's gender as well as their employment status. Risk-pooling mechanisms and access to free or low-cost healthcare services among the most disadvantaged people in society might enhance reaching universal health coverage.

Informal employment and catastrophic health expenditures: Evidence from Pakistan.

Workers in informal employment suffered significant out-of-pocket healthcare expenditures (OOPHEs) due to their low earnings and a lack of a social safety net or health insurance. There is little or no evidence of impoverishment caused by OOPHEs in the context of labor market categorization. Therefore, this study examines the economic burden of OOPHEs and its associated consequences on households, whose members are in informal employment. This study estimates the incidence of catastrophic health expenditures (CHEs) and impoverishment across the households in formal and informal employment and their key determinants in Pakistan by employing the data from the two rounds of the Household Integrated Economic Survey (2015-16, 2018-19). For measuring CHEs and impoverishment, the budget share and capacity-to-pay approaches are applied. Various thresholds are used to demonstrate the sensitivity of catastrophic measures. We found a higher incidence of catastrophic healthcare payments among the informal workers, that is, 4.03% and 7.11% for 2015-16 and 2018-19, respectively, at a 10% threshold, while at a 40% threshold, the incidence of CHEs is found to be 0.40% and 2.34% for 2015-16 and 2018-19, respectively. These OOPHEs caused 1.53% and 3.66% of households who are in informal employment to become impoverished, compared with their formal counterparts. The study demonstrates that the probability of incurring CHEs and becoming impoverished is high among informal workers, compared with their formal counterparts. This result has clear policy implications, in which to protect the informal workers, it is necessary to expand the insurance coverage, particularly during the COVID-19 response and recovery efforts.

Inequity in psychiatric healthcare use in Australia.

BACKGROUND: Despite recent substantial mental healthcare reforms to increase the supply of healthcare, mental health inequality in Australia is rising. Understanding of the level of inequity (unmet need gap) in psychiatric service use in Australia's mixed public-private health care system is lacking. OBJECTIVE: To present a novel method to measure inequity in the delivery of psychiatric care. METHODS: Data came from wave 9 (year 2009, n = 11,563) and wave 17 (year 2017, n = 16,194) of the Household, Income and Labour Dynamics in Australia (HILDA) survey. Multiple logistic regression was employed to estimate the psychiatric care utilisation compared to its need and the Gini index was used to estimate the standardised distribution of utilisation to measure the extent of inequity. RESULTS: The results show the inequity indices (need-standardised Gini) in psychiatric care utilisation were significant and found to be 0.066 and 0.096 in 2009 and 2017, respectively, for all individuals. In 2009, the inequity indices were found to be 0.051 and 0.078 for males and females, respectively, and 0.045 and 0.068 for rural and urban residents, respectively. In 2017, the indices were calculated to be 0.081 and 0.109 for males and females, respectively, and 0.086 and 0.097 for rural and urban residents, respectively. CONCLUSIONS: This study showed a marked increase in unmet needs in psychiatric care utilisation since 2009. There is a greater need to develop policies to improve equity in psychiatric care utilisation in Australia.

Cost-effectiveness of single-inhaler triple therapy for patients with severe COPD: a systematic literature review.

INTRODUCTION: Evidence from non-randomized studies shows benefits for single-inhaler users compared with multiple-inhaler users who receive the same medication. As a result, comparative cost-effectiveness studies are required to inform treatment decisions with an increasing choice of medications and devices for chronic obstructive pulmonary disease (COPD). This study conducted a systematic literature review to evaluate the cost-effectiveness of using a single combination inhaler regimen for patients with severe COPD. This review also investigated the health impact on patients in different settings. AREAS COVERED: A systematic literature search was conducted in PubMed (MEDLINE), EMBASE, Web of Science, Scopus, Cochrane Library, EBSCO Host (including CINAHL and EconLit), Health Technology Assessment Database, National Institute for Health Research Economic Evaluation Database, Cost-Effectiveness Analysis Registry and Google Scholar. EXPERT OPINION: Based on the primary findings of 13 included studies: (1) single-inhaler triple therapy was a cost-effective treatment option for patients with severe COPD, and (2) triple therapy also resulted in better health outcomes (reduced exacerbations, life-years gained) and increased QALYs for patients with severe COPD. Nonetheless, eleven out of the thirteen selected studies were funded by the pharmaceutical industry, and none were conducted in the least developed countries. Therefore, the results should be interpreted with caution.

Socioeconomic inequalities in low birth weight in South Asia: A comparative analysis using Demographic and Health Surveys.

Background: Low Birth Weight (LBW) continues to be a prominent universal cause of various short- and long-term health hazards throughout infancy and adulthood. However, no study has revealed the socioeconomic inequalities in LBW among South Asian countries. This study assesses the socioeconomic inequalities among under-five South Asian children with LBW. Methods: Secondary data were derived from six (Afghanistan, Bangladesh, India, Maldives, Nepal, and Pakistan) nationally representative South Asian Demographic and Health Surveys conducted between 2015 and 2021, and included 170,547 under-five years of age children. The study employed the concentration curve and concentration index to assess the socioeconomic inequalities of those with LBW. Additionally, mixed-effect logistic regression was applied to determine the factors associated with LBW. Results: A significant negative concentration index indicates the wealth-related and education-related inequalities of LBW among under-five South Asian children. LBW is highly concentrated in the socio-economically poor section of the society. Our study found statistically significant negative concentration index in all South Asian countries: Afghanistan (Education: -0.108), Bangladesh (wealth: -0.070 & education: -0.083), India (wealth: -0.059 & education: -0.052), Nepal (by wealth: -0.064 & by education: -0.080), and Pakistan (by wealth: -0.080 & by education: -0.095). Findings from the mixed-effects logistic regression model also show that children from the poorest quintiles (AOR: 1.53, 95% CI: 1.41-1.67) and illiterate mothers (AOR: 1.39, 95% CI: 1.29-1.51) had higher odds of being afflicted with LBW compared to the wealthiest quintiles and educated mothers respectively. Women's pregnancy assessments, such as antenatal care utilisation, iron supplementation intake, and normal delivery mode, are significantly correlated with decreased odds of children's LBW. Conclusion: There exists a strong association between LBW cases and socioeconomic inequalities among South-Asian children below five years of age. This indicates the urgent need for health education and prenatal care services for women from Afghanistan, Bangladesh, India, Nepal, and Pakistan, especially those with lower socioeconomic status.

Prevalence of acute respiratory infections among children in India: Regional inequalities and risk factors.

AIM: The high incidence of acute respiratory infection (ARI)-related morbidity and mortality is a major public health concern in developing countries. This study aimed to quantify regional inequalities and the degree of association between childhood ARI and background factors. METHODS: This study utilised information of 238 945 children aged below five years extracted from the Fourth Indian National Family Health Survey conducted in 2015-16. Inter-state and regional inequality in the prevalence of ARI were quantified and presented using a map of India and forest plot. The association of background characteristics and ARI was quantified using bivariate and multivariable binary logistic regression models. RESULTS: Significant inequalities in the prevalence of childhood ARI were observed across the six regions of India. Considering the children from north-east region as a reference, those from north, central and east regions were 0.68, 1.02 and 0.57 times more likely to suffer from ARI. Comorbidity, sex, age and nutritional status of children were significantly associated with the prevalence of ARI. CONCLUSIONS: ARI remains a significant public health concern among Indian children. The results of this study showed that significant regional disparities in the prevalence of ARI exist in India. This study adds value to the better understanding of inequality patterns and quantifies within- and intra-region inequalities in the prevalence of ARI in India.

FinTech and macroeconomics: Dataset from the US peer-to-peer lending platform.

We aggregate the United States (US) state-level data with LendingClub's loan book covering the period from 2008 to 2019. LendingClub is a FinTech lending company that provides loans through a technology-driven platform. It was one of the pioneering and leading US peer-to-peer (P2P) lending platforms. Our dataset consists of over two million observations (N=2,703,430) with diverse loan, borrowers and state-specific features. We provide the description of variables, descriptive statistics, and STATA code with the full dataset. The US possesses significant cross-state variation in terms of economic and demographic characteristics while having risk-sharing policies at the federal level to protect states' creditworthiness. This unique feature of our combined database creates an ideal opportunity to explore the P2P lending market within the context of macroeconomic variables. As the dataset covers a 12-year period for all US states, it enables further cross-sectional and longitudinal analyses of the FinTech lending market.

Households' out-of-pocket expenditure for healthcare in Bangladesh: A health financing incidence analysis.

BACKGROUND: Despite improvements in many health indicators, providing access to affordable healthcare remains a considerable challenge in Bangladesh. Financing incidence analysis will enable an evaluation of how well the healthcare system performs to achieve equity in health financing. The objective of this study is to assess the burden of out-of-pocket (OOP) cost on different socio-economic groups by assessing the health financing incidence because OOP cost dominates household expenditure on health in Bangladesh. METHODS: The study was conducted using latest Household Income and Expenditure Survey (HIES) 2016. We focused mainly on four specific indicators: level of monthly household OOP cost on in-patient care, urban-rural differences in OOP cost, socio-economic status differences in different payment mechanisms and the Kakwani index. Descriptive statistics were employed to analyse and summarise the selected variables based on the SES and location of residence (e.g., rural and urban). RESULTS: The study showed the overall OOP healthcare expenditure was 7.7% of the household monthly income while the poorer income group suffered more and spent up to 35% of their household income on healthcare. The Kakwani index indicated that the poorest quintile spends a greater share of their income on healthcare services than the richest quintile. CONCLUSIONS: This study observed that OOP cost in Bangladesh is regressive, that is, poorer members of society contribute a greater share of their income. Therefore, policymakers should initiate health reforms for developing and implementing risk-pooling financing mechanisms such as social health insurance to achieve the Universal Health Coverage in Bangladesh.

Women's empowerment and fertility decision-making in 53 low and middle resource countries: a pooled analysis of demographic and health surveys.

OBJECTIVE: Women's empowerment and its association with fertility preference are vital for central-level promotional health policy strategies. This study examines the association between women's empowerment and fertility decision-making in low and middle resource countries (LMRCs). DESIGN: This cross-sectional study uses the Demographic and Health Survey database. SETTINGS: 53 LMRCs from six different regions for the period ranging from 2006 to 2018. PARTICIPANTS: The data of women-only aged 35 years and above is used as a unit of analysis. The final sample consists of 91 070 married women. METHODS: We considered two outcome variables: women's perceived ideal number of children and their ability to achieve preferred fertility desire and the association with women empowerment. Women empowerment was measured by their participation in household decision-making and attitude towards wife-beating. The negative binomial regression model was used to assess women's perceived ideal number of children, and multivariable logistic regression was used to evaluate women's ability to achieve their preferred fertility desire. RESULTS: Our study found that empowered women have a relatively low ideal number of children irrespective of the measures used to assess women empowerment. In this study, the measures were participation in household decision-making (incidence rate ratio (IRR): 0.92, 95% CI: 0.91 to 0.93) and attitude towards wife-beating (IRR: 0.96, 95% CI: 0.95 to 0.97). In the LMRCs, household decision-making and negative attitude towards wife-beating have been found associated with 1.12 and 1.08 times greater odds of having more than their ideal number of children. CONCLUSION: Our findings suggest that women's perceived fertility desire can be achieved by enhancing their empowerment. Therefore, a modified community-based family planning programme at the national level is required, highlighting the importance of women's empowerment on reproductive healthcare as a part of the mission to assist women and couples to have only the number of children they desire.

Distribution of wealth-stratified inequalities on maternal and child health parameters and influences of maternal-related factors on improvements in child health survival rate in Bangladesh.

This study investigates the influence of household socioeconomic status and maternal risk factors and health-care service availability on changes in the under-five mortality rate (U5MR) in Bangladesh. Potential risk factors that influence U5MRs were investigated using multilevel logistic regression analysis and 29,697 data points from the Bangladesh Demographic and Health Surveys, 2004-2014. Maternal and child health parameters such as childhood morbidity, low vaccination coverage, poor utilization of perinatal care, and malnutrition were found to be more concentrated in poorer households. Pooled estimates indicated that the aggregate odds of U5MR risk declined by 18% to 2007 to 38% to 2014 compared to 2004. However, inadequate antenatal care, short birth interval, primiparity, illiteracy, delayed conception, and low socioeconomic status were significantly associated with a higher risk of under-five mortality. The magnitude of inequality using these measures were significantly associated with large variations in U5MR changes. Although a significant reduction in U5MR in Bangladesh was found in this study, substantial socioeconomic variations still persist. The analysis suggests that decreasing inequality in society is required for further reductions in child mortality. This will help to achieve a more equitable distribution of child and neonatal outcomes and assist the achievement of Sustainable Development Goals 3.2 by 2030.

Distribution and predictors associated with the use of breast cancer screening services among women in 14 low-resource countries.

BACKGROUND: Breast cancer is one of the leading public health problem globally, especially in low-resource countries (LRCs). Breast cancer screening (BCS) services are an effective strategy for early determining of breast cancer. Hence, it is imperative to understand the utilisation of BCS services and their correlated predictors in LRCs. This study aims to determine the distribution of predictors that significantly influence the utilisation of BCS services among women in LRCs. METHODS: The present study used data on 140,974 women aged 40 years or over from 14 LRCs. The data came from country Demographic and Health Surveys (DHS) between 2008 and 2016. Multivariate logistic regression analysis was employed to investigate the significant predictors that influence the use of BCS services. RESULTS: The utilisation of BCS services was 15.41%, varying from 81.10% (95% CI: 76.85-84.73%) in one European country, to 18.61% (95% CI: 18.16 to 19.06%) in Asian countries, 14.30% (95% CI: 13.67-14.96%) in American countries, and 14.29% (95% CI: 13.87-14.74%). Factors that were significantly associated to increase the use of BCS services include a higher level of education (OR = 2.48), advanced age at first birth (> 25 years) (OR = 1.65), female-headed households (OR = 1.65), access to mass media communication (OR = 1.84), health insurance coverage (OR = 1.09), urban residence (OR = 1.20) and highest socio-economic status (OR = 2.01). However, obese women shown a significantly 11% (OR = 0.89) lower use of BSC services compared to health weight women. CONCLUSION: The utilisation of BCS services is low in many LRCs. The findings of this study will assist policymakers in identifying the factors that influence the use of BCS services. To increase the national BCS rate, more attention should be essential to under-represented clusters; in particular women who have a poor socioeconomic clusters, live in a rural community, have limited access to mass media communication, and are have a low level educational background. These factors highlight the necessity for a new country-specific emphasis of promotional campaigns, health education, and policy targeting these underrepresented groups in LRCs.

Does ICT maturity catalyse economic development? Evidence from a panel data estimation approach in OECD countries.

To date, definitions of information and communication technology (ICT) development used in quantitative studies on the relationship between economic development and ICT are incomplete and often based on single indicators. Thus, this study investigates the link between ICT maturity and economic development in the Organisation of Economic Cooperation and Development (OECD) countries. A novel composite index of ICT maturity that includes previously neglected dimensions of ICT maturity, such as affordability and quality of internet connectivity, is utilised. The baseline estimations using the feasible generalised least squares indicate that ICT maturity is associated with an increase in economic development by 1%-3.8% in OECD countries. These findings have been cross-validated by applying the generalised method of moments estimation. Results imply that the holistic development of ICT, including infrastructure, skills, and affordability, can augment economic development.

Wealth stratified inequalities in service utilisation of breast cancer screening across the geographical regions: a pooled decomposition analysis.

BACKGROUND: Breast cancer is the most commonly occurring cancer among women in low-resourced countries. Reduction of its impacts is achievable with regular screening and early detection. The main aim of the study was to examine the role of wealth stratified inequality in the utilisation breast cancer screening (BCS) services and identified potential factors contribute to the observed inequalities. METHODS: A population-based cross-sectional multi-country analysis was used to study the utilisation of BCS services. Regression-based decomposition analyses were applied to examine the magnitude of the impact of inequalities on the utilisation of BCS services and to identify potential factors contributing to these outcomes. Observations from 140,974 women aged greater than or equal to 40 years were used in the analysis from 14 low-resource countries from the latest available national-level Demographic and Health Surveys (2008-09 to 2016). RESULTS: The population-weighted mean utilisation of BCS services was low at 15.41% (95% CI: 15.22, 15.60), varying from 80.82% in European countries to 25.26% in South American countries, 16.95% in North American countries, 15.06% in Asia and 13.84% in African countries. Women with higher socioeconomic status (SES) had higher utilisation of BCS services (15%) than those with lower SES (9%). A high degree of inequality in accessing and the use of BCS services existed in all study countries across geographical areas. Older women, access to limited mass media communication, being insured, rurality and low wealth score were found to be significantly associated with lower utilisation of BCS services. Together they explained approximately 60% in the total inequality in utilisation of BCS services. CONCLUSIONS: The level of wealth relates to the inequality in accessing BCS amongst reproductive women in these 14 low-resource countries. The findings may assist policymakers to develop risk-pooling financial mechanisms and design strategies to increase community awareness of BCS services. These strategies may contribute to reducing inequalities associated with achieving higher rates of the utilisation of BCS services.