Changes in catastrophic health expenditure in post-conflict Sierra Leone: an Oaxaca-blinder decomposition analysis

Decomposing the inequalities in the catastrophic health expenditures on the hospitalization in India: empirical evidence from national sample survey data

Introduction

Sustainable Development Goal (SDG) Target 3.8.2 entails financial protection against catastrophic health expenditure (CHE) by reducing out-of-pocket expenditure (OOPE) on healthcare. India is characterized by one of the highest OOPE on healthcare, in conjunction with the pervasive socio-economic disparities entrenched in the population. As a corollary, India has embarked on the trajectory of ensuring financial risk protection, particularly for the poor, with the launch of various flagship initiatives. Overall, the evidence on wealth-related inequities in the incidence of CHE in low- and middle-Income countries has been heterogenous. Thus, this study was conducted to estimate the income-related inequalities in the incidence of CHE on hospitalization and glean the individual contributions of wider socio-economic determinants in influencing these inequalities in India.

Methods

The study employed cross-sectional data from the nationally represented survey on morbidity and healthcare (75th round of National Sample Survey Organization) conducted during 2017-2018, which circumscribed a sample size of 1,13,823 households and 5,57,887 individuals. The inequalities and need-adjusted inequities in the incidence of CHE on hospitalization care were assessed via the Erreygers corrected concentration index. Need-standardized concentration indices were further used to unravel the inter- and intra-regional income-related inequities in the outcome of interest. The factors associated with the incidence of CHE were explored using multivariate logistic regression within the framework of Andersen's model of behavioral health. Additionally, regression-based decomposition was performed to delineate the individual contributions of legitimate and illegitimate factors in the measured inequalities of CHE.

Results

Our findings revealed pervasive wealth-related inequalities in the CHE for hospitalization care in India, with a profound gap between the poorest and richest income quintiles. The negative value of the concentration index (EI: -0.19) indicated that the inequalities were significantly concentrated among the poor. Furthermore, the need-adjusted inequalities also demonstrated the pro-poor concentration (EI: -0.26), denoting the unfair systemic inequalities in the CHE, which are disadvantageous to the poor. Multivariate logistic results indicated that households with older adult, smaller size, vulnerable caste affiliation, poorest income quintile, no insurance cover, hospitalization in a private facility, longer stay duration in the hospital, and residence in the region at a lower level of epidemiological transition level were associated with increased likelihood of incurring CHE on hospitalization. The decomposition analysis unraveled that the contribution of non-need/illegitimate factors (127.1%) in driving the inequality was positive and relatively high vis-à-vis negative low contribution of need/legitimate factors (35.3%). However, most of the unfair inequalities were accounted for by socio-structural factors such as the size of the household and enabling factors such as income group and utilization pattern.

Conclusion

The study underscored the skewed distribution of CHE as the poor were found to incur more CHE on hospitalization care despite the targeted programs by the government. Concomitantly, most of the inequality was driven by illegitimate factors amenable to policy change. Thus, policy interventions such as increasing the awareness, enrollment, and utilization of Publicly Financed Health Insurance schemes, strengthening the public hospitals to provide improved quality of specialized care and referral mechanisms, and increasing the overall budgetary share of healthcare to improve the institutional capacities are suggested.

All-cause mortality of hospitalised patients with suspected COVID-19 in Sierra Leone: a prospective cohort study

OBJECTIVES

To study the mortality of patients with COVID-19 in Sierra Leone, to explore the factors associated with mortality during the COVID-19 pandemic and to highlight the complexities of treating patients with a novel epidemic disease in a fragile health system.

STUDY DESIGN

A prospective single-centre cohort study. Data were extracted from paper medical records and transferred onto an electronic database. Specific indicators were compared between survivors and non-survivors, using descriptive statistics in Stata V.17.

STUDY SETTING

The infectious diseases unit (IDU) at Connaught Hospital in Freetown, Sierra Leone PARTICIPANTS: Participants were all patients admitted to the IDU between March and July 2020.

AIMS OF STUDY

The primary outcome of the study was to examine the all-cause mortality of hospitalised patients with suspected COVID-19 in Sierra Leone and the secondary outcome measures were to examine factors associated with mortality in patients positive for COVID-19.

RESULTS

261 participants were included in the study. Overall, 41.3% of those admitted to the IDU died, compared with prepandemic in-hospital mortality of 23.8%. Factors contributing to the higher mortality were COVID-19 infection (aOR 5.61, 95% CI 1.19 to 26.30, p=0.02) and hypertension (aOR 9.30, 95% CI 1.18 to 73.27, p=0.03) CONCLUSIONS: This study explores the multiple factors underpinning a doubling in facility mortality rate during the COVID-19 pandemic in Sierra Leone . It provides an insight into the realities of providing front-line healthcare during a pandemic in a fragile health system.

A Sierra Leone 2021 Midwifery Clinical Training Needs Assessment: A Call to Action to Augment Clinical Precepting

Objective

Sierra Leone has one of the highest maternal mortality and infant mortality rates globally. We share findings from a Midwifery Clinical Training Needs Assessment, conducted in 2021 as a collaboration between the Government of Sierra Leone and Seed Global Health. The assessment identified existing needs and gaps in midwifery clinical training at health facilities in Sierra Leone from various stakeholders' perspectives.

Methods

The descriptive needs assessment utilized mixed methods, including surveys, focus group discussions (FGDs), interviews, and reviews of maternal medical records.

Results

The following showed needs and gaps in labor and delivery management; record keeping; triage processes; clinical education for students, recent graduates, and preceptors; and lack of infrastructure and resources.

Conclusion

The knowledge gained from this needs assessment can further the development of midwifery clinical training programs in Sierra Leone and other low-income countries facing similar challenges. We discuss the implication of our findings.

Decomposing Disability Inequality in Unmet Healthcare Needs and Preventable Hospitalizations: An Analysis of the Korea Health Panel

Objectives: This study examines the inequality between people with and without disabilities regarding unmet healthcare needs and preventable hospitalization. Methods: We used the Korea Health Panel of 2016-2018; the final analytical observations were 43,512, including 6.95% of persons with disabilities. We examined the differences in contributors to the two dependent variables and decomposed the observed differences into explained and unexplained components using the Oaxaca-Blinder approach. Results: Unmet healthcare needs and preventable hospitalizations were 5.6% p (15.36% vs. 9.76%) and 0.68% p (1.82% vs. 0.61%), respectively, higher in people with disabilities than in those without, of which 48% and 35% were due to characteristics that the individual variables cannot explain. Decomposition of the distributional effect showed that sex, age, and chronic disease significantly increased disparities for unmet healthcare needs and preventable hospitalization. Socioeconomic factors such as income level and Medical aid significantly increased the disabled-non-disabled disparities for unmet healthcare needs. Conclusion: Socioeconomic conditions increased the disparities, but around 35%-48% of the disparities in unmet healthcare needs and preventable hospitalization were due to unexplained factors, such as environmental barriers.

Factors associated with catastrophic health expenditure in sub-Saharan Africa: A systematic review

OBJECTIVE

A non-negligible proportion of sub-Saharan African (SSA) households experience catastrophic costs accessing healthcare. This study aimed to systematically review the existing evidence to identify factors associated with catastrophic health expenditure (CHE) incidence in the region.

METHODS

We searched PubMed, CINAHL, Scopus, CNKI, Africa Journal Online, SciELO, PsycINFO, and Web of Science, and supplemented these with search of grey literature, pre-publication server deposits, Google Scholar®, and citation tracking of included studies. We assessed methodological quality of included studies using the Appraisal tool for Cross-Sectional Studies for quantitative studies and the Critical Appraisal Skills Programme checklist for qualitative studies; and synthesized study findings according to the guidelines of the Economic and Social Research Council.

RESULTS

We identified 82 quantitative, 3 qualitative, and 4 mixed-methods studies involving 3,112,322 individuals in 650,297 households in 29 SSA countries. Overall, we identified 29 population-level and 38 disease-specific factors associated with CHE incidence in the region. Significant population-level CHE-associated factors were rural residence, poor socioeconomic status, absent health insurance, large household size, unemployed household head, advanced age (elderly), hospitalization, chronic illness, utilization of specialist healthcare, and utilization of private healthcare providers. Significant distinct disease-specific factors were disability in a household member for NCDs; severe malaria, blood transfusion, neonatal intensive care, and distant facilities for maternal and child health services; emergency surgery for surgery/trauma patients; and low CD4-count, HIV and TB co-infection, and extra-pulmonary TB for HIV/TB patients.

CONCLUSIONS

Multiple household and health system level factors need to be addressed to improve financial risk protection and healthcare access and utilization in SSA.

PROTOCOL REGISTRATION

PROSPERO CRD42021274830.

Inequalities in maternal healthcare use in Sierra Leone: Evidence from the 2008-2019 Demographic and Health Surveys

Background

Sierra Leone is one of the countries with poor health outcomes. The country has made some progress in the uptake of maternal health services. Despite improvements in the national coverage rates, there is no evidence of how equal these improvements have been.

Objective

To estimate inequalities in maternal healthcare use in Sierra Leone.

Methods

Using cross-sectional study data from 2008, 2013, and 2019 Demographic and Health Surveys (DHS), we study inequalities in maternal health services by computing rate ratios, and concentration indices (as well as concentration curves) using selected inequality stratifiers such as household wealth index, maternal education, and rural/urban place of residence.

Results

We found that considerable progress has been made in increasing the uptake of maternal health services as well as reducing inequalities over time. We also found that inequalities in the selected health indicators favoured women from wealthy households, educated women, as well as women from urban areas. Although inequalities declined over time, the use of delivery services was highly unequal. However, of the selected health interventions, the use of four or more antenatal visits was almost at perfect equality in 2013 and 2019.

Conclusion

Although efforts have been made to increase the use of maternal healthcare services among women with a lower socioeconomic status, the use of maternal health services remains favourable to women with a higher socioeconomic standing. Therefore, policy initiatives need to prioritise women of lower socioeconomic status through projects aimed at increasing women’s educational levels as well as focusing on poverty reduction.

Population health trends analysis and burden of disease profile observed in Sierra Leone from 1990 to 2017

Background

Sierra Leone, in West Africa, is one of the poorest developing countries in the world. Sierra Leone has experienced several recent challenges namely, a civil war from 1991 to 2002, a massive Ebola outbreak from 2014 to 2016, followed by floods and landslides in 2017.In this study, we quantified the burden of disease in Sierra Leone over a 27-year period, from 1990 to 2017.

Methodology

In this descriptive study, we analysed secondary data from the Institute of Health Metrics and Evaluation, Global Burden of Disease (GBD) study. We quantified patterns of burden of disease, injuries, and risk factors in Sierra Leone. We report GBD data and metrics including mortality rates, years of life lost and risk factors for all ages and both sexes from 1990 to 2017.

Results

From 1990 to 2017, trends of mortality rates for all ages and sexes have declined in Sierra Leone although mortality rates remain some of the highest when compared to other developing countries. The burden of communicable, maternal, neonatal, and nutritional (CMNN) diseases are greater than the burden of non-communicable diseases (NCDs) due to the prevalence of endemic diseases in Sierra Leone. The most important CMNNs associated with premature mortality included respiratory infections, neglected tropical diseases, malaria, and HIV-Aids. Life expectancy has increased from 37 to 52 years.

Conclusion

Sierra Leone’s health status is gradually improving following the civil war and Ebola outbreak. Sierra Leone has a double burden of disease with CMNNs leading and NCDs progressively increasing. Despite these challenges, Sierra Leone has promising initiatives and programs pursuing the Universal Health Coverage 2030 Sustainable Developmental Goals Agenda. There is need for accountability of available resources, clear rules and expected roles for non-governmental organisations to ensure a level playing field for all actors to rebuild the health system.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14104-w.

Financial risk protection from out-of-pocket health spending in low- and middle-income countries: a scoping review of the literature

Background

Financial risk protection (FRP), defined as households’ access to needed healthcare services without experiencing undue financial hardship, is a critical health systems target, particularly in low- and middle-income countries (LMICs). Given the remarkable growth in FRP literature in recent times, we conducted a scoping review of the literature on FRP from out-of-pocket (OOP) health spending in LMICs. The objective was to review current knowledge, identify evidence gaps and propose future research directions.

Methods

We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines to conduct this scoping review. We systematically searched PubMed, Scopus, ProQuest and Web of Science in July 2021 for literature published since 1 January 2015. We included empirical studies that used nationally representative data from household surveys to measure the incidence of at least one of the following indicators: catastrophic health expenditure (CHE), impoverishment, adoption of strategies to cope with OOP expenses, and forgone care for financial reasons. Our review covered 155 studies and analysed the geographical focus, data sources, methods and analytical rigour of the studies. We also examined the level of FRP by disease categories (all diseases, chronic illnesses, communicable diseases) and the effect of health insurance on FRP.

Results

The extant literature primarily focused on India and China as research settings. Notably, no FRP study was available on chronic illness in any low-income country (LIC) or on communicable diseases in an upper-middle-income country (UMIC). Only one study comprehensively measured FRP by examining all four indicators. Most studies assessed (lack of) FRP as CHE incidence alone (37.4%) or as CHE and impoverishment incidence (39.4%). However, the LMIC literature did not incorporate the recent methodological advances to measure CHE and impoverishment that address the limitations of conventional methods. There were also gaps in utilizing available panel data to determine the length of the lack of FRP (e.g. duration of poverty caused by OOP expenses). The current estimates of FRP varied substantially among the LMICs, with some of the poorest countries in the world experiencing similar or even lower rates of CHE and impoverishment compared with the UMICs. Also, health insurance in LMICs did not consistently offer a higher degree of FRP.

Conclusion

The literature to date is unable to provide a reliable representation of the actual level of protection enjoyed by the LMIC population because of the lack of comprehensive measurement of FRP indicators coupled with the use of dated methodologies. Future research in LMICs should address the shortcomings identified in this review.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12961-022-00886-3.

[Social Determinants Affecting Changes in Mental Health of Rural-Urban Migrant Population in Chengdu: An Oaxaca-Blinder Decomposition Analysis]

Objective

To investigate the social determinants that influenced the changes in the mental health of the rural-urban migrant population in Chengdu.

Methods

Using data from two cross-sectional surveys, one conducted in 2009 and another, in 2018, of the rural-urban migrant population in Chengdu, we analyzed the social determinants of mental health affecting the rural-urban migrant population in Chengdu by multiple linear regression, and analyzed the contribution of changes in social determinants to the disparity in mental health over a decade using the Oaxaca-Blinder decomposition analysis.

Results

This study included 3091 cases of rural-urban migrants in Chengdu, with 965 (31.22%) covered in the survey year of 2009 and 2126 (68.78%) covered in 2018. Multiple linear regression models were established with mental component summary (MCS) as the dependent variable, the social determinants of health as the independent variables, and gender, age, and survey year as covariates. The findings showed that being married ( β=2.33, P<0.001), drinking 1-2 times per week ( β=-1.42, P<0.05), illness within four weeks ( β=-2.57, P<0.001), and hospitalization in the past year ( β=-1.82, P<0.05), wage arrears ( β=-1.67, P<0.05), job satisfaction ( β=1.25, P<0.001), monthly housing costs (housing costs below monthly income: β=-1.55, P=0.001; housing costs above monthly income: β=-4.59, P=0.001) and housing condition ( β=0.23, P<0.05) had significant impact on the MCS of the rural-urban migrant population. The results of the Oaxaca-Blinder decomposition method showed that the MCS disparity between the two surveys was -4.7660 points. With 2018 as the base year, the explainable parts accounted for 15.80%. Being married, decrease in the prevalence of illnesses within four weeks, and increased job satisfaction formed positive contribution to the improvement of the mental health, and increase in the proportion of monthly housing expenses formed negative contribution.

Conclusion

Between 2009 and 2018, the mental health of the rural-urban migrant population in Chengdu showed improvement, and changes in marital status, illness within four weeks, job satisfaction, and monthly housing costs contributed to improvements in mental health during the period. Future intervention measures to promote the mental health of the floating population can be developed with the perspective of improving the social determinants of health in mind.

Catastrophic health expenditure in sub-Saharan Africa: systematic review and meta-analysis

Objective

To estimate the incidence of, and trends in, catastrophic health expenditure in sub-Saharan Africa.

Methods

We systematically reviewed the scientific and grey literature to identify population-based studies on catastrophic health expenditure in sub-Saharan Africa published between 2000 and 2021. We performed a meta-analysis using two definitions of catastrophic health expenditure: 10% of total household expenditure and 40% of household non-food expenditure. The results of individual studies were pooled by pairwise meta-analysis using the random-effects model.

Findings

We identified 111 publications covering a total of 1 040 620 households across 31 sub-Saharan African countries. Overall, the pooled annual incidence of catastrophic health expenditure was 16.5% (95% confidence interval, CI: 12.9-20.4; 50 datapoints; 462 151 households; I ² = 99.9%) for a threshold of 10% of total household expenditure and 8.7% (95% CI: 7.2-10.3; 84 datapoints; 795 355 households; I ² = 99.8%) for a threshold of 40% of household non-food expenditure. Countries in central and southern sub-Saharan Africa had the highest and lowest incidence, respectively. A trend analysis found that, after initially declining in the 2000s, the incidence of catastrophic health expenditure in sub-Saharan Africa increased between 2010 and 2020. The incidence among people affected by specific diseases, such as noncommunicable diseases, HIV/AIDS and tuberculosis, was generally higher.

Conclusion

Although data on catastrophic health expenditure for some countries were sparse, the data available suggest that a non-negligible share of households in sub-Saharan Africa experienced catastrophic expenditure when accessing health-care services. Stronger financial protection measures are needed.

Catastrophic expenditure and impoverishment after caesarean section in Sierra Leone: An evaluation of the free health care initiative

BACKGROUND

Utilizing surgical services, including caesarean sections, can result in catastrophic expenditure and impoverishment. In 2010, Sierra Leone introduced the Free Health Care Initiative (FHCI), a national financial risk protection program for the most vulnerable groups. Aim of this study was to investigate catastrophic expenditure and impoverishment related to caesarean section in Sierra Leone and evaluate the impact of the FHCI.

METHODS

Women who delivered by caesarean section in nine hospitals were followed up with home visits one month after surgery, and data on medical and non-medical expenditures were collected. Individual income was estimated based on household characteristics and used to determine catastrophic expenditure and impoverishment for each patient. The impact of the FHCI was assessed by comparing actual expenditure with counterfactual expenditures had the initiative not existed.

RESULTS

For the 1146 patients in the study, the median expenditure was 23 (IQR 4; 56) international dollars (Int$). Patients in the poorest quintile spent a median Int$ 59 (IQR 28; 76), which was significantly more than patients in the richest quintile, who spent a median Int$ 17 (IQR 2; 38, p<0.001). Travel (32.9%) and food (28.7%) were the two largest expenses. Catastrophic expenditure was encountered by 12.0% and 4.0% (10% and 25% threshold, respectively) of the women. Without the FHCI, 66.1% and 28.8% of the women would have encountered catastrophic expenditure.

CONCLUSION

Many women in Sierra Leone face catastrophic expenditure related to caesarean section, mainly through food and travel expenses, and the poor are disproportionally affected. The FHCI is effective in reducing the risk of catastrophic expenditure related to caesarean section, but many patients are still exposed to financial hardship, suggesting that additional support is needed for Sierra Leone's poorest patients.

Inequalities in catastrophic health expenditures in conflict-affected areas and the Colombian peace agreement: an oaxaca-blinder change decomposition analysis

BACKGROUND

The present study analyzes inequalities in catastrophic health expenditures in conflict-affected regions of Meta, Colombia and socioeconomic factors contributing to the existence and changes in catastrophic expenditures before and after the sign of Colombian Peace Agreement with FARC-EP guerilla group in 2016.

METHODS

The study uses the results of the survey Conflicto, Paz y Salud (CONPAS) conducted in 1309 households of Meta, Colombia, a territory historically impacted by armed conflict, for the years 2014 and 2018. We define catastrophic expenditures as health expenditures above 20% of the capacity to pay of a household. We disaggregate the changes in inequalities in catastrophic expenditures through the Oaxaca-Blinder change decomposition method.

RESULTS

The incidence of catastrophic expenditures slightly increased between 2014 to 2018, from 29.3 to 30.7%. Inequalities in catastrophic expenditures, measured through concentration indexes (CI), also increased from 2014 (CI: -0.152) to 2018 (CI: -0.232). Results show that differences in catastrophic expenditures between socioeconomic groups are mostly attributed to an increased influence of specific sociodemographic variables such as living in rural zones, being a middle-aged person, living in conflict-affected territories, or presenting any type of mental and physical disability.

CONCLUSIONS

Conflict-deescalation and the peace agreement may have facilitated lower-income groups to have access to health services, especially in territories highly impacted by conflict. This, consequently, may have led to higher levels of out-of-pocket expenditures and, therefore, to higher chances of experiencing catastrophic expenditures for lower-income groups in comparison to higher-income groups. Therefore, results indicate the importance of designing policies that guarantee access to health services for people in conflict -affected regions but also, that minimize health care inequalities in out-of-pocket payments that may arouse between people at different socioeconomic groups.

The Basic vs. Ability-to-Pay Approach: Evidence From China's Critical Illness Insurance on Whether Different Measurements of Catastrophic Health Expenditure Matter

Alleviating catastrophic health expenditure (CHE) is one of the vital objectives of health systems, as defined by the World Health Organization. However, no consensus has yet been reached on the measurement of CHE. With the aim of further relieving the adverse effects of CHE and alleviating the problem of illness-caused poverty, the Critical Illness Insurance (CII) program has been operational in China since 2012. In order to verify whether the different measurements of CHE matter under China's CII program, we compare the two-layer CII models built by using the basic approach and the ability-to-pay (ATP) approach at a range of thresholds. Exploiting the latest China family panel studies dataset, we demonstrate that the basic approach is more effective in relieving CHE for all insured households, while the ATP approach works better in reducing the severity of CHE in households facing it. These findings have meaningful implications for policymaking. The CII program should be promoted widely as a supplement to the current Social Basic Medical Insurance system. To improve the CII program's effectiveness, it should be based on the basic approach, and the threshold used to measure CHE should be determined by the goal pursued by the program.

Population Characteristics and Their Implications on the Benefit Basket of National Social Health Insurance Scheme in Sierra Leone: A Prospective View

Background. The government of Sierra Leone introduced social health insurance (SHI) scheme to provide universal health coverage to people. This study was carried out to assess the population characteristics and their implications on the benefit basket of the proposed national health insurance scheme. Methods. A cross-sectional study design was employed in six selected districts in Sierra Leone. Quantitative data were collected for this study through the use of semistructured questionnaires with a sample of 1,185 respondents. Data were analysed using descriptive and inferential statistics. Statistical analysis was run at 5% significant level using Stata 14.0 software. Results. The study found that most (83.54%) of the respondents affirmed that children below 18 years should be excluded from premium payments and as high as 71.65% also stated that pregnant women should be excluded as well. The majority, 63.69%, of the respondents want lactating mothers to be excluded from premium payments. Also, 79.87% of respondents wanted mentally challenged persons not to pay premium, while a significant proportion (84.26%) of respondents further affirmed that the aged (above 70 yrs) should also be excluded from premium payment. Most household heads (89.71%) preferred the accreditation of public health facilities. Regarding the level at which healthcare services should be covered by the scheme, 61.45% preferred the primary care services, 89% mentioned secondary care services, and 98.93% affirmed the provision of tertiary care under the scheme. As for the type of care that should be covered by the scheme, 98.66% and 99.73% affirmed outpatient and inpatient care, respectively. Conclusion. From the findings on population characteristics and their implications on the benefit basket for the proposed nation social health in Sierra Leone, most of the household heads want exemptions from paying premium for a section of the population. This provides a clear insight for policy makers into the formulation of the benefit basket.

Understanding the Improvement in Full Childhood Vaccination Coverage in Ethiopia Using Oaxaca-Blinder Decomposition Analysis

In Ethiopia, full vaccination coverage among children aged 12–23 months has improved in recent decades. This study aimed to investigate drivers of the improvement in the vaccination coverage. The Oaxaca–Blinder decomposition technique was applied to identify the drivers using data from Ethiopian Demographic and Health Survey conducted in 2000 and 2016. The vaccination coverage rose from 14.3% in 2000 to 38.5% in 2016. The decomposition analysis showed that most of the rise in vaccination coverage (73.7%) resulted from the change in the effect of explanatory variables over time and other unmeasured characteristics. Muslim religion had a counteracting effect on the observed increase in vaccination coverage. The remaining 26.3% of the increase was attributed to the change in the composition of the explanatory variables between 2000 and 2016, with maternal educational level and maternal health care utilization as significant contributors. The findings highlight the need for further improvements in maternal health care utilization and educational status to maintain the momentum towards universal coverage of childhood vaccination. Targeted intervention among Muslim-dominated communities is also needed to improve the current situation. Besides which, future studies need to be conducted to identify additional potential modifiable factors.

Determinants of change in long-acting or permanent contraceptives use in Ethiopia; A multivariate decomposition analysis of data from the Ethiopian demographic and health survey

Background

There has been an increase in the uptake of long-acting or permanent contraceptive methods (LAPMs) in Ethiopia. Identifying the factors associated with this change is important for designing interventions that will further accelerate the uptake. This study was done to identify components of, and factors associated with, changes in the use of LAPMs in Ethiopia.

Methods

Information about 16,336 married or in-union reproductive-age women were extracted from the 2005 and 2016 Ethiopian Demographic and Health Surveys (EDHS). Normalized weighting was used to compensate for disproportionate sampling and non-response in the survey. The two data sets were merged and analyzed using multivariate decomposition analysis.

Result

From 2005 to 2016, the use of LAPMs increased by 12.0 percentage points. Changes in the characteristics of women (compositional factors) were responsible for nearly 7.0% of the observed difference. Most of the change (92.0%) was attributable to differences in the effects of characteristics. Age, working status, woman’s occupation, concordance on the desired number of children between women and their partners, and a visit by health workers in the 12 months before the survey were all significantly associated with the change.

Conclusion

The contribution of variation in the survey population structure was not significant for the observed change. The change in the use of LAPMs was mainly due to behavioral changes among older, educated and working women, and women visited by health workers.

Factors associated with the upsurge in the use of delivery care services in Sierra Leone

OBJECTIVES

Most African countries have poor maternal and reproductive health outcomes. This is due, in part, to many factors such as accessibility issues, which hinder women in developing countries from using life-saving maternal and reproductive health services. Therefore, this study considered two main objectives: (i) to examine prevalence of delivery care services in Sierra Leone; and (ii) to identify sociodemographic factors associated with the use of the aforementioned health services.

STUDY DESIGN

A secondary analysis was undertaken using data from the Sierra Leone Demographic and Health Surveys.

METHODS

Bivariate and multivariate analyses were used to study the prevalence and factors associated with the use of delivery care services in Sierra Leone.

RESULTS

The findings show a general increase in the use of delivery care services between 2008 and 2013, although the use of these services remains quite low. The multivariate analysis shows that maternal age, marital status, socio-economic status, the number of living children, decision-making power, media exposure, skilled antenatal care, and geographic location are crucial factors in the use of delivery care services.

CONCLUSIONS

Use of delivery care services remains low in Sierra Leone. It is possible that the introduction of the Free Healthcare Initiative played a vital role in increasing the use of these services. Further policy debates are needed to ensure universal coverage.

Individual vs household: How do different calculation patterns of catastrophic health expenditure matter? New evidence from China's critical illness insurance programme

Reducing the incidence and severity of catastrophic health expenditure (CHE) has been considered to be one of the most fundamental goals of the global health care financing system. China, the second largest economy and the most populous country in the world, established a critical illness insurance (CII) programme in 2012 in an effort to protect Chinese residents from CHE shocks. This paper attempts to address whether the different calculation patterns (namely, individuals vs household) of CHE matter under China's CII programme. We compare two CII models built with the World Health Organization's (WHO's) standard and the Chinese standard. Exploiting the latest China family panel studies (CFPS) dataset, we demonstrate that using household as the calculation pattern is more effective in alleviating CHE under a tight premium budget, which is consistent with the international view. This finding raises concerns about the appropriate calculation pattern of CHE in policy making.

Health financing in fragile and conflict-affected settings: What do we know, seven years on?

Over the last few years, there has been growing attention to health systems research in fragile and conflict-affected setting (FCAS) from both researchers and donors. In 2012, an exploratory literature review was conducted to analyse the main themes and findings of recent literature focusing on health financing in FCAS. Seven years later, this paper presents an update of that review, reflecting on what has changed in terms of the knowledge base, and what are the on-going gaps and new challenges in our understanding of health financing in FCAS. A total of 115 documents were reviewed following a purposeful, non-systematic search of grey and published literature. Data were analysed according to key health financing themes, ensuring comparability with the 2012 review. Bibliometric analysis suggests that the field has continued to grow, and is skewed towards countries with a large donor presence (such as Afghanistan). Aid coordination remains the largest single topic within the themes, likely reflecting the dominance of external players, not just substantively but also in relation to research. Many studies are commissioned by external agencies and in addition to concerns about independence of findings there is also likely a neglect of smaller, more home-grown reforms. In addition, we find that despite efforts to coordinate approaches across humanitarian and developmental settings, the literature remains distinct between them. We highlight research gaps, including empirical analysis of domestic and external financing trends across FCAS and non-FCAS over time, to understand better common health financing trajectories, what drives them and their implications. We highlight a dearth of evidence in relation to health financing goals and objectives for UHC (such as equity, efficiency, financial access), which is significant given the relevance of UHC, and the importance of the social and political values which different health financing arrangements can communicate, which also merit in-depth study.

Catastrophic health expenditure of Vietnamese patients with gallstone diseases - a case for health insurance policy revaluation

Purpose

Despite gallstone diseases (GSDs) being a major public health concern with both acute and chronic episodes, none of the studies in Vietnam has been conducted to investigate the household expenditure for the GSD treatment. The objective of this study was to estimate the costs of managing GSD and to explore the prevalence and determinants of catastrophic health expenditure (CHE) among Vietnamese patients.

Materials and methods

A cross-sectional study was conducted from June 2016 to March 2017 in the Department of Hepatobiliary and Pancreatic Surgery, Viet Duc Hospital in Hanoi, Vietnam. A total of 206 patients were enrolled. Demographic and socioeconomic data, household income, and direct and indirect medical costs of patients seeking treatment for GSD were collected through face-to-face interview. Multivariate logistic regression was used to explore factors associated with CHE.

Results

The prevalence of CHE in patients suffering from GSD was 35%. The percentage of patients who were covered by health insurance and at risk for CHE was 41.2%, significantly higher than that of those noninsured (15.8%). Proportions of patients with and without health insurance who sought outpatient treatment were 30.6% and 81.6%, respectively. Patients who were divorced or widowed and had intrahepatic gallstones were significantly more likely to experience CHE. Those who were outpatients, were women, had history of pharmacological treatment to parasitic infection, and belong to middle and highest monthly household income quantile were significantly less likely to experience CHE.

Conclusion

The findings suggested that efforts to re-evaluate health insurance reimbursement capacity, especially for acute diseases and taking into account the varying preferences of people with different disease severity, should be conducted by health authority. Further studies concerning CHE of GSD in the context of ongoing health policy reform should consider utilizing WHO-recommended measures like the fairness in financial contribution index, as well as taking into consideration the behavioral aspects of health care spending.

Improvement of the reduction in catastrophic health expenditure in China's public health insurance

This study aimed to locate the contributing factors of Catastrophic Health Expenditure (CHE), evaluate their impacts, and try to propose strategies for reducing the possibilities of CHE in the context of China’s current public health insurance system. The financial data of all hospitalization cases from a sample hospital in 2013 were gathered and used to determine the pattern of household medical costs. A simulation model was constructed based on China’s current public health insurance system to evaluate the financial burden for medical service on Chinese patients, as well as to calculate the possibilities of CHE. Then, by adjusting several parameters, suggestions were made for China’s health insurance system in order to reduce CHE. It’s found with China’s current public health insurance system, the financial aid that a patient may receive depends on whether he is from an urban or rural area and whether he is employed. Due to the different insurance policies and the wide income gap between urban and rural areas, rural residents are much more financially vulnerable during health crisis. The possibility of CHE can be more than 50% for low-income rural families. The CHE ratio can be dramatically lowered by applying different policies for different household income groups. It’s concluded the financial burden for medical services of Chinese patients is quite large currently, especially for those from rural areas. By referencing different healthcare policies in the world, applying different health insurance policies for different income groups can dramatically reduce the possibility of CHE in China.