Ability to pay and catastrophic health expenditure of urban and rural deceased households over the past decade (2009-2018).

INTRODUCTION: Examining the equity of health care and financial burden in households of deceased individuals in urban and rural areas is crucial for understanding the risks to both national and individual household finances. However, there is a lack of research on catastrophic health expenditure (CHE) in these households, specifically in urban and rural contexts. This study aims to identify the ability to pay and equity of CHE for both households of deceased individuals in urban and in rural areas. METHODS: This study analysed data from the Korea Health Panel for 10 years (2009-2018) and targeted 869 deceased individuals and their households in the Republic of Korea (South Korea). Annual household income and living costs were adjusted based on equivalent household size, and the difference between these values represented the household's ability to pay. Out-of-pocket (OOP) expenditure included copayments and uninsured healthcare expenses for emergency room visits, inpatient care, outpatient treatments and prescription medications. CHE was defined as OOP expenditure reaching or exceeding 40% of the household's ability to pay. ANCOVA was performed to control for confounding variables, and the equity of CHE prevalence between urban and rural area was assessed using χ2 analysis. RESULTS: Compared to urban households, the rural households of deceased individuals had, respectively, fewer members (2.7 v 2.4, p=0.03), a higher rate of presence of a spouse (63.8% v 70.7%, p=0.04) and a higher economic activity rate (12.7% v 20.5%, p=0.002). The mean number of comordities before death was 3.7 in both urban and rural areas, and there was no difference in the experience of using over-the-counter medicines for more than 3 months, emergency room, hospitalisation, and outpatient treatment. In addition, annual household OOP expenditures in urban and rural areas were US$3020.20 and US$2812.20, respectively, showing no statistical difference (p=0.341). This can be evaluated as a positive effect of various policies and practices aimed at alleviating urban-rural health equity. However, the financial characteristics of the household of the deceased in the year of death differed decisively between urban and rural areas. Compared to urban households, the annual income of rural households (US$15,673.80 v US$12,794.80, respectively, p≤0.002) and the annual ability to pay of rural households (US$14,734.10 v US$12,069.30, respectively, p=0.03) were lower. As a result, the prevalence of CHE was higher in rural areas than in urban areas (68.3% v 77.6%, p=0.003). CONCLUSION: The findings of this study highlight the higher risk of CHE in rural areas due to the lower income level and ability to pay of the household of the deceased. It is evident that addressing the issue of CHE requires broader social development and policy efforts rather than individual-level interventions focused solely on improving health access and controlling healthcare costs. The findings of this study contribute to the growing evidence that income plays a crucial role in rural health outcomes.

Financial protection in health revisited: Is catastrophic health spending underestimated for service- or disease-specific analysis?

Economists originally developed methods to assess financial catastrophe using total or aggregate out-of-pocket health spending. Aggregate out-of-pocket health spending is financially catastrophic when it exceeds a fixed proportion (i.e., threshold) of a household's total income or expenditure in a given period. However, these methods are now applied to assess financial catastrophe in disease- or service-specific rather than aggregate out-of-pocket health spending without using disease- or service-specific thresholds. This paper argues that not using disease- or service-specific thresholds for such assessments is misleading and underestimates the burden of financial catastrophe, especially among households from poorer backgrounds. It then proposed disease- or service-specific catastrophic payment thresholds, applied them to Nigeria and found that financial catastrophe was underestimated for the five service groups considered. The paper stresses the importance of using disease- or service-specific thresholds and avoiding unadjusted thresholds, which may leave poorer households behind as financially protected.

Assessing progress towards Sustainable Development Goal 3.8.2 and determinants of catastrophic health expenditures in Malaysia.

The Sustainable Development Goal 3.8.2 is an indicator to track a country's progress toward universal health coverage on the financial protection against catastrophic health expenditure (CHE). The purpose of this study is to determine the proportion of households with catastrophic health expenditure, and its associated factors among Malaysian households. A secondary data analysis was performed using the Household Expenditure Survey 2015/2016. The inclusion criterion was Malaysian households with some health spending in the past 12 months before the date of the survey. Catastrophic health expenditure was defined as out-of-pocket health expenditures exceeding 10% of the total household consumption. The study included a total of 13015 households. The proportion of households with CHE in the sample was 2.8%. Female-led households (AdjOR 1.6; CI 1.25, 2.03; p-value <0.001), households in rural areas (AdjOR 1.29; 95% CI 1.04, 1.61; p-value = 0.022), small household size (AdjOR 2.4; 95% CI 1.81, 3.18; p-value <0.001) and heads of household under 60 years old (AdjOR2.34; 95% CI 1.81, 3.18; p-value <0.001) were significantly associated with CHE. Although the proportion of Malaysian households affected by CHE is small, it is increasing in comparison to previous findings. This is concerning because it may jeopardise efforts to achieve universal health coverage by 2030. To ensure financial protection and access to care, a health financing policy that includes safety net measures for households at risk of CHE is required.

Economic Burden of Cancer Treatment in a Region in South India: A Cross Sectional Analytical Study.

INTRODUCTION: The rising cost of cancer diagnosis and treatment has imposed a huge financial burden on the affected households. Understanding the nature of this burden will help us to formulate plans to avoid financial distress among the same. OBJECTIVE: The study aims to estimate the Out of Pocket Expenditure (OOPE) for the management of selected solid cancers among the Out-Patient Department (OPD) of Regional Cancer Centre in South India and to determine the proportion of families experiencing Catastrophic Health Expenditure (CHE) due to the same. METHODS: A hospital based cross sectional analytical study was undertaken in the authors' institute in South India. 474 solid cancer patients were interviewed in OPD of Radiation Oncology by a trained data collector. Sociodemographic variables, costs incurred under various headings and expenditure details of participants were obtained. Direct Medical and Direct Non-Medical costs were calculated, and its total was used as the OOPE. Costs were presented as mean with its standard error. Incidence of CHE was calculated using the 40% threshold on the Capacity to pay and was expressed as proportions with 95% confidence interval. Appropriate statistical tests were used to look for statistically significant differences in the study groups. RESULTS: The average OOP expenditure incurred by a cancer patient was INR 35,817 (USD 523.6) for male and INR 20,496 (USD 299.6) for female. Males had a significantly higher OOPE than females. The prevalence of catastrophic health expenditure (CHE) was 61.6% at the 40% CTP threshold. Patients who used insurance schemes had higher prevalence of CHE than those who did not use insurance schemes (65.5% vs 60.7%, p value 0.351). CONCLUSION: Cancer care provided through public institutions had a low direct medical cost, but the indirect cost seemed to be extremely high. Public based financial assistance is the need of the hour to help the cancer affected families.

Impact of Catastrophic Health Expenditures on Chinese Household Consumption.

China has built a social medical insurance system that covers the entire population so as to reduce the impact of diseases on individuals and families. Although the decline in the incidence of catastrophic health expenditures (CHEs) in China is encouraging, this issue remains important. On the basis of considering selectivity bias and heterogeneity, we applied propensity score matching (PSM) to analyze the 2018 data from the China Family Panel Studies. We assigned CHE households and non-CHE households to the treatment group and the control group, respectively, and used non-random data to simulate a randomized trial to investigate the impact of CHE on household consumption in China. The results of this study indicate that, when the threshold is set at 40%, the consumption of households experiencing CHEs (CHE household) is significantly lower than that of households not experiencing CHEs (non-CHE households) and that CHEs have a significant negative impact on other household consumption and a significant impact on the household property and debt. This effect still exists when the threshold is set lower, with household essential consumption most affected. The occurrence of CHEs leads to a reduction in household consumption and a significantly worsening financial situation for the CHE households, impacting the basic quality of life of the families. Therefore, it is necessary to further reform the medical and health system to reduce the high medical expenses.

Palliative care and catastrophic costs in Malawi after a diagnosis of advanced cancer: a prospective cohort study.

BACKGROUND: Inclusive universal health coverage requires access to quality health care without financial barriers. Receipt of palliative care after advanced cancer diagnosis might reduce household poverty, but evidence from low-income and middle-income settings is sparse. METHODS: In this prospective study, the primary objective was to investigate total household costs of cancer-related health care after a diagnosis of advanced cancer, with and without the receipt of palliative care. Households comprising patients and their unpaid family caregiver were recruited into a cohort study at Queen Elizabeth Central Hospital in Malawi, between Jan 16 and July 31, 2019. Costs of cancer-related health-care use (including palliative care) and health-related quality-of-life were recorded over 6 months. Regression analysis explored associations between receipt of palliative care and total household costs on health care as a proportion of household income. Catastrophic costs, defined as 20% or more of total household income, sale of assets and loans taken out (dissaving), and their association with palliative care were computed. FINDINGS: We recruited 150 households. At 6 months, data from 89 (59%) of 150 households were available, comprising 89 patients (median age 50 years, 79% female) and 64 caregivers (median age 40 years, 73% female). Patients in 55 (37%) of the 150 households died and six (4%) were lost to follow-up. 19 (21%) of 89 households received palliative care. Catastrophic costs were experienced by nine (47%) of 19 households who received palliative care versus 48 (69%) of 70 households who did not (relative risk 0·69, 95% CI 0·42 to 1·14, p=0·109). Palliative care was associated with substantially reduced dissaving (median US$11, IQR 0 to 30 vs $34, 14 to 75; p=0·005). The mean difference in total household costs on cancer-related health care with receipt of palliative care was -36% (95% CI -94 to 594; p=0·707). INTERPRETATION: Vulnerable households in low-income countries are subject to catastrophic health-related costs following a diagnosis of advanced cancer. Palliative care might result in reduced dissaving in these households. Further consideration of the economic benefits of palliative care is justified. FUNDING: Wellcome Trust; National Institute for Health Research; and EMMS International.

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.

Challenges in healthcare financing for surgery in sub-Saharan Africa.

One-third of the global burden of disease is attributed to surgical conditions yet, 5 billion people globally, lack access to surgery. The Lancet Commission on Global Surgery, Obstetrics, and Anesthesia (LCOGS) published guidelines for improving access by reducing catastrophic health expenditures (CHEs) by 2030. This is especially important in sub-Saharan Africa (SSA) where 90% of the extreme poor reside. In this paper, we provide a narrative review of four studies on CHEs for surgical care in SSA published since 2015. We discuss healthcare financing in the countries and summarize the authors' key findings of out-of-pocket payments (OOP) and CHEs. Briefly, the studies enrolled 130 to 300 patients and collected direct OOPs via chart review of health costs or patient interviews. Indirect costs were calculated from lost wages and transportation costs. CHEs were defined as health costs exceeding 10% of the GDP per capita or the household income. Despite healthcare being reported as free in all studies, 60%-90% of surgical patients had CHEs with all costs considered. OOPs persists for medicines and anesthesia that should be covered under any health insurance scheme. In some cases, indirect costs associated with transportation and wages were major drivers of CHEs for surgery. Without addressing these gaps in coverage, more people will risk impoverishment in seeking surgical care in SSA.

Financial protection effects of private health insurance: experimental evidence from Chinese households with resident basic medical insurance.

BACKGROUND: After achieving universal basic medical insurance coverage, Chinese government put the development of private health insurance (PHI) on its agenda to further strengthen financial risk protection. This paper aims to assess the level of financial protection that PHI provides for its insured households on the basis of resident basic medical insurance (RBMI). METHODS: We employed balanced panel data collected between 2015 and 2017 from the China Household Finance Survey (CHFS). Catastrophic health expenditure (CHE) and impoverishment due to health spending were applied to measure the financial protection effects. Random effects panel logistic regression model was performed to identify the factors associated with CHE and impoverishment among households covered by RBMI. In the robustness test, the method of propensity score matching (PSM) was employed to solve the problem of endogeneity. RESULTS: From 2015 to 2017, the CHE incidence increased from 12.96 to 14.68 % for all sampled households, while the impoverishment rate decreased slightly from 5.43 to 5.32 % for all sampled households. In 2015, the CHE incidence and impoverishment rate under RBMI + PHI were 4.53 and 0.72 %, respectively, which were lower than those under RBMI alone. A similar phenomenon was observed in 2017. Regression analysis also showed that the households with RBMI + PHI were significantly less likely to experience CHE (marginal effect: -0.054, 95 %CI: -0.075 to -0.034) and impoverishment (marginal effect: -0.049, 95 %CI: -0.069 to -0.028) compared to those with RBMI alone. The results were still robust after using PSM method to eliminate the effects of self-selection on the estimation results. CONCLUSIONS: In the context of universal basic medical insurance coverage, the CHE incidence and impoverishment rate of Chinese households with RBMI were still considerably high in 2015 and 2017. PHI played a positive role in decreasing household financial risk on the basis of RBMI.

Addressing data and methodological limitations in estimating catastrophic health spending and impoverishment in India, 2004-18.

BACKGROUND: Estimates of catastrophic health expenditure (CHE) are counterintuitive to researchers, policy makers, and developmental partners due to data and methodological limitation. While inferences drawn from use of capacity-to-pay (CTP) and budget share (BS) approaches are inconsistent, the non-availability of data on food expenditure in the health survey in India is an added limitation. METHODS: Using data from the health and consumption surveys of National Sample Surveys over 14 years, we have overcome these limitations and estimated the incidence and intensity of CHE and impoverishment using the CTP approach. RESULTS: The incidence of CHE for health services in India was 12.5% in 2004, 13.4% in 2014 and 9.1% by 2018. Among those households incurring CHE, they spent 1.25 times of their capacity to pay in 2004 (intensity of CHE), 1.71 times in 2014 and 1.31 times by 2018. The impoverishment due to health spending was 4.8% in 2004, 5.1% in 2014 and 3.3% in 2018. The state variations in incidence and intensity of CHE and incidence of impoverishment is large. The concentration index (CI) of CHE was - 0.16 in 2004, - 0.18 in 2014 and - 0.22 in 2018 suggesting increasing inequality over time. The concentration curves based on CTP approach suggests that the CHE was concentrated among poor. The odds of incurring CHE were lowest among the richest households [OR 0.22; 95% CI: 0.21, 0.24], households with elderly members [OR 1.20; 95% CI:1.12, 1.18] and households using both inpatient and outpatient services [OR 2.80, 95% CI 2.66, 2.95]. Access to health insurance reduced the chance of CHE and impoverishment among the richest households. The pattern of impoverishment was similar to that of CHE. CONCLUSION: In the last 14 years, the CHE and impoverishment in India has declined while inequality in CHE has increased.

Out-of-Pocket, Catastrophic Health Expenditure and Distress Financing on Non-Communicable Diseases in India: A Systematic Review with Meta-Analysis.

OBJECTIVE: The aim of this systematic review is to determine pooled estimates of out-of-pocket (OOPE) and catastrophic health expenditure (CHE), correlates of CHE, and most common modes of distress financing on the treatment of selected non-communicable disease (cancer) among adults in India. METHODS: PubMed, Scopus and Embase were searched for eligible studies using strict inclusion and exclusion criteria. Data was extracted and pooled estimates using random effects model of meta-analysis were determined for different types of costs. Forest plots were created and heterogeneity among studies was checked. RESULTS: The pooled estimate of direct OOPE on inpatient and outpatient cancer care were 83396.07 INR (4405.96 USD) (95% CI = 44591.05-122202.0) and 2653.12 (140.17 USD) INR (95% CI = -251.28-5557.53), respectively, total direct OOPE was 47138.95 INR (2490.43 USD) (95% CI = 37589.43-56690.74), indirect OOPE was 11908.50 INR (629.15 USD) (95% CI=-5909.33-29726.31) and proportion of individuals facing CHE was 62.7%. However, high heterogeneity was observed among the studies. Savings, income, borrowing money and sale of assets were the most common modes of distress financing for cancer treatment. CONCLUSION: Income- and treatment-related cancer policies are needed to address the evidently high and unaffordable cancer treatment cost. Economic studies are needed for estimating all types of costs using standardised definitions and tools for precise estimates. Robust cancer database/registries and programs focusing on affordable cancer care can reduce the economic burden and prevent impoverishment.

Does social health insurance prevent financial hardship in Mongolia? Inpatient care: A case in point.

BACKGROUND: Protecting people from financial hardship and impoverishment due to health care costs is one of the fundamental purposes of the Mongolian health system. However, the inefficient, oversized hospital sector is considered one of the main shortcomings of the system. The aim of this study is to contribute to policy discussions by estimating the extent of catastrophic health expenditure and impoverishment due to inpatient care at secondary-level and tertiary-level public hospitals and private hospitals. METHODS: Data were derived from a nationally representative survey, the Household Socio-Economic Survey 2012, conducted by the National Statistical Office of Mongolia. A total of 12,685 households were involved in the study. "Catastrophic health expenditure" is defined as out-of-pocket payments for inpatient care that exceed a threshold of 40% of households' non-discretionary expenditure. The "impoverishment" effect of out-of-pocket payments for inpatient care was estimated as the difference between the poverty level before health care payments and the poverty level after these payments. RESULTS: At the threshold of 40% of capacity to pay, 0.31%, 0.07%, and 0.02% of Mongolian households suffered financially as a result of their member(s) staying in tertiary-level and secondary-level public hospitals and private hospitals respectively. About 0.13% of the total Mongolian population was impoverished owing to out-of-pocket payments for inpatient care at tertiary-level hospitals. Out-of-pocket payments for inpatient care at secondary-level hospitals and private hospitals were responsible for 0.10% and 0.09% respectively of the total population being pushed into poverty. CONCLUSIONS: Although most inpatient care at public hospitals is covered by the social health insurance benefit package, patients who utilized inpatient care at tertiary-level public hospitals were more likely to push their households into financial hardship and poverty than the inpatients at private hospitals. Improving the hospital sector's efficiency and financial protection for inpatients would be a crucial means of attaining universal health coverage in Mongolia.

Examining the incidence of catastrophic health expenditures and its determinants using multilevel logistic regression in Malawi.

BACKGROUND: Despite a free access to public health services policy in most sub-Saharan African countries, households still contribute to total health expenditures through out-of-pocket expenditures. This reliance on out-of-pocket expenditures places households at a risk of catastrophic health expenditures and impoverishment. This study examined the incidence of catastrophic health expenditures, impoverishing effects of out-of-pocket expenditures on households and factors associated with catastrophic expenditures in Malawi. METHODS: We conducted a secondary analysis of the most recent nationally representative integrated household survey conducted by the National Statistical Office between April 2016 to 2017 in Malawi with a sample size of 12447 households. Catastrophic health expenditures were estimated based on household annual nonfood expenditures and total household annual expenditures. We estimated incidence of catastrophic health expenditures as the proportion of households whose out-of-pocket expenditures exceed 40% threshold level of non-food expenditures and 10% of total annual expenditures. Impoverishing effect of out-of-pocket health expenditures on households was estimated as the difference between poverty head count before and after accounting for household health payments. We used a multilevel binary logistic regression model to assess factors associated with catastrophic health expenditures. RESULTS: A total of 167 households (1.37%) incurred catastrophic health expenditures. These households on average spend over 52% of household nonfood expenditures on health care. 1.6% of Malawians are impoverished due to out-of-pocket health expenditures. Visiting a religious health facility (AOR = 2.27,95% CI:1.24-4.15), hospitalization (AOR = 6.03,95% CI:4.08-8.90), larger household size (AOR = 1.20,95% CI:1.24-1.34), higher socioeconomic status (AOR = 2.94,95% CI:1.39-6.19), living in central region (AOR = 3.54,95% CI:1.79-6.97) and rural areas (AOR = 5.13,95% CI:2.14-12.29) increased the odds of incurring catastrophic expenditures. CONCLUSION: The risk of catastrophic health expenditures and impoverishment persists in Malawi. This calls for government to improve the challenges faced by the free public health services and design better prepayment mechanisms to protect more vulnerable groups of the population from the burden of out-of-pocket payments.

Trends in out of pocket payments and catastrophic health expenditure in the Kyrgyz Republic post "Manas Taalimi" and "Den Sooluk" health reforms, 2012-2018.

BACKGROUND: Over the years, the Kyrgyz Republic has implemented health reforms that target health financing with the aim of removing financial barriers to healthcare including out-of-pocket health payments (OOPPs). This study examines the trends in OOPPs, and the incidence of catastrophic health expenditure (CHE) post the "Manas Taalimi" and "Den Sooluk" health reforms. METHODS: We used data from the Kyrgyzstan Integrated Household Surveys (2012-2018). Population-weighted descriptive statistics were used to examine the trends in OOPPs and CHE at three thresholds; 10 percent of total household consumption expenditure (Cata10), 25 percent of total household consumption expenditure (Cata25) and 40 percent of total household non-food consumption expenditure (Cata40). Panel and cross-sectional logistic regression with marginal effects were used to examine the predictors of Cata10 and Cata40. FINDINGS: Between 2012 and 2018, OOPPs increased by about US $6 and inpatient costs placed the highest cost burden on users (US $13.6), followed by self-treatment (US $10.7), and outpatient costs (US $9). Medication continues to predominantly drive inpatient, outpatient, and self-treatment OOPPs. About 0.378 to 2.084 million people (6 - 33 percent) of the population incurred catastrophic health expenditure at the three thresholds between 2012 and 2018. Residing in households headed by a widowed or single head, or residing in rural regions, increases the likelihood of incurring catastrophic health expenditure. CONCLUSIONS: The initial gains in the reduction of OOPPs and catastrophic health expenditure appear to gradually erode since costs continue to increase after an initial decline and catastrophic health expenditure continues to rise unabated. This implies that households are increasingly incurring economic hardship from seeking healthcare. Considering that this could result to forgone expenditure on essential items including food and education, efforts should target the sustainability of these health reforms to maintain and grow the reduction of catastrophic health payments and its dire consequences.

Catastrophic health expenditure among single empty-nest elderly with multimorbidity in rural Shandong, China: the effect of co-occurrence of frailty.

BACKGROUND: Previous studies have indicated that older adults with multimorbidity had higher risk of incurring catastrophic health expenditure (CHE). However, the effect of co-occurrence of frailty on CHE among single empty-nest elderly with multimorbidity remains unclear. This study aims to explore the effect of co-occurrence of frailty on CHE among single empty-nest elderly with multimorbidity, and whether this effect is moderated by economic status. METHODS: A cross-sectional household survey of the older adults in 2019 in Shandong province, China. A total of 606 single empty-nest elderly aged 60 years or older were included in this study. CHE was defined as the out-of-pocket payments for health care that equals or exceeds 40% of the household' s capacity to pay. Logistic regression models are employed to examine the effect of co-occurrence of frailty on CHE among single empty-nest elderly with multimorbidity. The interaction term is introduced to explore the economic status difference in this effect. RESULTS: The CHE incidence for single empty-nest elderly with multimorbidity alone is 64.2%, and the co-occurrence of frailty results in an increase by almost 1.3 times (84.0%) in CHE incidence among single empty-nest elderly with multimorbidity. The co-occurrence of frailty increases the risk of incurring CHE among the single empty-nest elderly with multimorbidity, with the odds of incurring CHE increased by 3.19 times (OR = 3.19; P = 0.005). Furthermore, the interaction analysis shows that the effect of co-occurrence of frailty on CHE among single empty-nest elderly with multimorbidity still exist in lower economic status groups (OR = 4.64; P = 0.027), but not in higher economic status (OR = 2.76; P = 0.062). CONCLUSIONS: This study demonstrates that there is a positive effect of co-occurrence of frailty on the CHE among the single empty-nest elderly with multimorbidity, and this effect varies by economic status. The health policy-makers should reorganize the healthcare system to make it pro-poor, so as to meet the multiple medical demand and reduce the potential economic burden and inequalities of older adults.

Estimating Catastrophic Costs due to Pulmonary Tuberculosis in Bangladesh.

To eliminate TB from the country by the year 2030, the Bangladesh National Tuberculosis (TB) Program is providing free treatment to the TB patients since 1993. However, the patients are still to make Out-of-their Pocket (OOP) payment, particularly before their enrollment Directly Observed Treatment Short-course (DOTS). This places a significant economic burden on poor-households. We, therefore, aimed to estimate the Catastrophic Health Expenditure (CHE) due to TB as well as understand associated difficulties faced by the families when a productive family member age (15-55) suffers from TB. The majority of the OOP expenditures occur before enrolling in. We conducted a cross-sectional study using multistage sampling in the areas of Bangladesh where Building Resources Across Communities (BRAC) provided TB treatment during June 2016. In total, 900 new TB patients, aged 15-55 years, were randomly selected from a list collected from BRAC program. CHE was defined as the OOP payments that exceeded 10% of total consumption expenditure of the family and 40% of total non-food expenditure/capacity-to-pay. Regular and Bayesian simulation techniques with 10,000 replications of re-sampling with replacement were used to examine robustness of the study findings. We also used linear regression and logit model to identify the drivers of OOP payments and CHE, respectively. The average total cost-of-illness per patient was 124 US$, of which 68% was indirect cost. The average CHE was 4.3% of the total consumption and 3.1% of non-food expenditure among the surveyed households. The poorest quintile of the households experienced higher CHE than their richest counterpart, 5% vs. 1%. Multiple regression model showed that the risk of CHE increased among male patients with smear-negative TB and delayed enrolling in the DOTS. Findings suggested that specific groups are more vulnerable to CHE who needs to be brought under innovative safety-net schemes.

Sustainable Development Goals relevant to kidney health: an update on progress.

Globally, more than 5 million people die annually from lack of access to critical treatments for kidney disease - by 2040, chronic kidney disease is projected to be the fifth leading cause of death worldwide. Kidney diseases are particularly challenging to tackle because they are pathologically diverse and are often asymptomatic. As such, kidney disease is often diagnosed late, and the global burden of kidney disease continues to be underappreciated. When kidney disease is not detected and treated early, patient care requires specialized resources that drive up cost, place many people at risk of catastrophic health expenditure and pose high opportunity costs for health systems. Prevention of kidney disease is highly cost-effective but requires a multisectoral holistic approach. Each Sustainable Development Goal (SDG) has the potential to impact kidney disease risk or improve early diagnosis and treatment, and thus reduce the need for high-cost care. All countries have agreed to strive to achieve the SDGs, but progress is disjointed and uneven among and within countries. The six SDG Transformations framework can be used to examine SDGs with relevance to kidney health that require attention and reveal inter-linkages among the SDGs that should accelerate progress.

Decomposition of changes in socioeconomic inequalities in catastrophic health expenditure in Kenya.

BACKGROUND: Catastrophic health expenditure (CHE) is frequently used as an indicator of financial protection. CHE exists when health expenditure exceeds a certain threshold of household consumption. Although CHE is reported to have declined in Kenya, it is still unacceptably high and disproportionately affects the poor. This study examines the socioeconomic factors that contribute to inequalities in CHE as well as the change in these inequalities over time in Kenya. METHODS: We used data from the Kenya household health expenditure and utilisation (KHHEUS) surveys in 2007 and 2013. The concertation index was used to measure the socioeconomic inequalities in CHE. Using the Wagstaff (2003) approach, we decomposed the concentration index of CHE to assess the relative contribution of its determinants. We applied Oaxaca-type decomposition to assess the change in CHE inequalities over time and the factors that explain it. RESULTS: The findings show that while there was a decline in the incidence of CHE, inequalities in CHE increased from -0.271 to -0.376 and was disproportionately concentrated amongst the less well-off. Higher wealth quintiles and employed household heads positively contributed to the inequalities in CHE, suggesting that they disadvantaged the poor. The rise in CHE inequalities overtime was explained mainly by the changes in the elasticities of the household wealth status. CONCLUSION: Inequalities in CHE are persistent in Kenya and are largely driven by the socioeconomic status of the households. This implies that the existing financial risk protection mechanisms have not been sufficient in cushioning the most vulnerable from the financial burden of healthcare payments. Understanding the factors that sustain inequalities in CHE is, therefore, paramount in shaping pro-poor interventions that not only protect the poor from financial hardship but also reduce overall socioeconomic inequalities. This underscores the fundamental need for a multi-sectoral approach to broadly address existing socioeconomic inequalities.