Household Catastrophic Health Expenditure Research Articles

Out-of-pocket and indirect expenditure of spina bifida and hydrocephalus patients admitted for inpatient treatment and follow-up at two university-affiliated hospitals in Ethiopia.

In Ethiopia approximately 3,200,000 babies are born annually and 41.09 per 10,000 live births are affected by spina bifida. Hydrocephalus (HCP) is another common pediatric neurosurgical condition with studies in Ethiopia showing the most common etiology is post spina bifida closure. The out-of-pocket expense (OOPE) and indirect expense of patients treated surgically for spina bifida and hydrocephalus during the first year of life were assessed. A prospective hospital-based study was done on patients treated surgically for spina bifida and HCP in two university-affiliated hospitals, between April 1st, 2022, and April 1st, 2023. Data on direct and indirect expenses were collected during inpatient care and follow-up. Catastrophic health expenditure (CHE) was assessed, defined as total expenditure exceeding 10% of the total annual household expenditure. A total of 245 patients were eligible for analysis. The median annual total expenditure of households for treatment was ETB 11,510.00 with ETB 5700.00 being indirect expenditure. Forty-nine percent of the households suffered CHE. In multivariate analysis, the factors which were found to have a statistically significant association with CHE were the hospital where the patient received the treatment, the household's wealth quintile, the place of residency, and pre-admission duration of stay. Our study revealed a high CHE in households with spina bifida and HCP. We recommend working on primary prevention of spina bifida, expanding surgical services regionally to minimize costs associated with travel for surgical care, and reducing pre-admission duration of stay by improving evaluation and investigations at outpatient clinics.

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

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. 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. 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. 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.

Investigating household catastrophic health expenditure and coping mechanisms in patients with Chronic Kidney Disease in Enugu, Nigeria: a single center experience

The methods of financing healthcare expenditure for any country are vital in determining the health status of the country. To meet the rising costs of seeking health care, many poor households in managing chronic disease conditions like Chronic Kidney Disease (CKD) often resort to coping strategies that are further detrimental to their well-being. CKD is the 12th highest cause of death and 17th highest cause of disability worldwide. This study assessed the incidence of household catastrophic health expenditure and payment coping mechanism of patients with CKD. It was a descriptive cross-sectional study involving 100 patients with various stages of CKD attending the Nephrology clinics of University of Nigeria Teaching Hospital Enugu, South eastern Nigeria. They were recruited using a systematic sampling technique. A questionnaire was used to collect data. Data were collected using pre-tested semi-structured questionnaires and analyzed using descriptive statistics of frequencies, percentages, mean, standard deviation and interquartile range. Chi-square was used to test for association between payment coping mechanisms used by patients across socioeconomic groups. The study demonstrated uniformly high incidence of catastrophic expenditure for all the respondents both at 10% and 40% threshold (100% and 97%) respectively, with cost of treatment uniformly distributed among the various socioeconomic classes. Most of the patients assessed their treatment by paying out of pocket without reimbursement (88%), with money from personal bank savings being the commonest coping mechanism especially among the poorest Socioeconomic Status (SES) class, and borrowing among the least poor SES class. The study concluded that the prevalence of catastrophic expenditure was very high across all the socioeconomic status. It is recommended that the Nigerian Health Insurance program should be expanded to cover at least dialysis treatment of CKD, if not all aspects of CKD management in order to protect these patients and their household from ill-health mediated catastrophic expenditure.

Household catastrophic health expenditure related to pain in Korea.

The data related to pain and catastrophic health expenditure (CHE) needed to be further explored. This study aims to understand the relationship between pain and CHE. Using cross-sectional analysis of 4-year data (2015-2018) from the Korea Health Panel, the prevalence of CHE and adjusted odds ratio (AOR) by pain type were confirmed. Among participants (n = 46,597), the prevalence of pain and severe pain were 24.2% and 1.1%, respectively. The use of medical services in emergency rooms, hospitalizations, and outpatients increased in the order of pain-free, pain, and severe pain (P < 0.001). Prevalence of household CHE was 3.3% vs. 11.1% vs. 25.9%, (P < 0.001). The AOR of CHE was 1.5 (95% confidence interval [CI], 1.4-1.7) for pain and 3.1 (95% CI, 2.5-3.9) for severe pain. Household capacity to pay per year was lower and lower in the order of pain-free, pain, and severe pain ($25,094 vs. $17,965 vs. $14,056, P < 0.001). Also, the household out-of-pocket expenditure per year was higher and higher in the order of pain-free, pain, and severe pain ($1,649, $1,870, $2,331, P < 0.001). It can be inferred that pain is one of the mechanisms of poverty. Positivist healthcare policies for the prevention and management of pain should be sought.

Associations among socioeconomic status, multimorbidity of non-communicable diseases, and the risk of household catastrophic health expenditure in China: a population-based cohort study

BackgroundMultimorbidity of non-communicable diseases (NCDs) is increasingly prevalent among older adults around the world, leading a higher risk of household catastrophic health expenditure (CHE). As current powerful evidence was insufficient, we aimed to estimate the association between multimorbidity of NCDs and the risk of CHE in China.MethodsWe designed a cohort study using data investigated in 2011–2018 from the China Health and Retirement Longitudinal Study, which is a nationally-representative study covering 150 counties of 28 provinces in China. We used mean ± standard deviation (SD) and frequencies and percentages to describe baseline characteristics. Person χ2 test was employed to compare the differences of baseline characteristics between households with and without multimorbidity. Lorenz curve and concentration index were used to measure the socioeconomic inequalities of CHE incidence. Cox proportional hazards models were applied to estimate adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for the association between multimorbidity and CHE.ResultsAmong 17,708 participants, 17,182 individuals were included for the descriptive analysis of the prevalence of multimorbidity in 2011, and 13,299 individuals (8029 households) met inclusion criteria and were included in the final analysis with a median of 83 (interquartile range: 25–84) person-months of follow-up. 45.1% (7752/17,182) individuals and 56.9% (4571/8029) households had multimorbidity at baseline. Participants with higher family economic level (aOR = 0.91, 95% CI: 0.86–0.97) had lower multimorbidity prevalence than those with lowest family economic level. 82.1% of participants with multimorbidity did not make use of outpatient care. The CHE incidence was more concentrated among participants with higher socioeconomic status (SES) with a concentration index of 0.059. The risk of CHE was 19% (aHR = 1.19, 95% CI: 1.16–1.22) higher for each additional NCD.ConclusionsApproximately half of middle-aged and older adults in China had multimorbidity, causing a 19% higher risk of CHE for each additional NCD. Early interventions for preventing multimorbidity among people with low SES could be intensified to protect older adults from financial hardship. In addition, concerted efforts are needed to increase patients’ rational healthcare utilization and strengthen current medical security for people with high SES to reduce economic disparities in CHE.

Factors influencing catastrophic health expenditure of households with people with diabetes in Northwest China-an example from Gansu Province

BackgroundDiabetes is a chronic non-communicable disease that causes a substantial economic burden on diabetic suffers and their households. The aim of this study was to explore the prevalence, equity, and determinants of catastrophic health expenditure (CHE) among households with people with diabetes in Northwest China.MethodsA total of 3,000 households were included in the 6th Health services survey in Gansu Province, China of which 270 households with people with diabetes. The equity of CHE was evaluated by concentration curve and concentration index (CI). We adopted the Pareto chart to analyze the main economic intervals of the occurrence of CHE. Finally, we combined the decision tree and logistic model and analyzed the determinants of the occurrence of CHE.ResultsThe incidence of CHE at 15%, 25% and 40% were 75.19%, 58.89% and 35.19%, respectively. CHE tended to occur in households with a lower economic level, with the phenomenon being more pronounced at Z = 40%. The Pareto chart showed that households in the group with an annual per capita income of 0–740 USD (0–5,000 Chinese Yuan) were most likely to experience CHE. Both decision tree and logistic models suggested that economic level, comorbidities, and small household size were potential risk factors. In addition, the decision tree model also suggested the interaction between the influencing factor of health checks in the past 12 months and the number of chronic diseases.ConclusionsIn summary, Households with people with diabetes were more likely to incur CHE. It is essential to focus on low- and middle-income households with people with diabetes, strengthen the management of patients with diabetes, and provide timely health interventions to reduce the occurrence of chronic comorbidity and the risk of CHE in households.

Catastrophic health expenditure and associated factors among households of non community based health insurance districts, Ilubabor zone, Oromia regional state, southwest Ethiopia

BackgroundOut-of-pocket health expenditure is the proportion of total health expenditure that is paid by individuals and households at the time of health service. Hence, the objective of this study is to assess the incidence and intensity of catastrophic health expenditure and associated factors among households in non-community-based health insurance districts in the Ilubabor zone, Oromia National Regional State, Ethiopia.MethodA community-based cross-sectional study design was employed in the Ilubabor zone on non-community-based health insurance scheme districts from August 13 to September 2, 2020, and 633 households participated in the study. A multistage one cluster sampling method was used to select three districts out of seven districts. Data was collected by using a structured mix of open and close-ended pre -tested questionnaires by face-to-face interviewing. A micro-costing/bottom up approach was used for all household expenditure. After checking its completeness, all household consumption expenditure was done by mathematical analysis using Microsoft Excel. Binary and multiple logistic were done using 95%CI and significance was declared at P < 0.05.ResultsThe number of households that participated in the study was 633, with a response rate of 99.7%. Out of 633 households surveyed, 110 (17.4%) were in catastrophe, which exceeds 10% of total household expenditure. After medical care expenses, about 5% of the households moved downward from the middle poverty line to extreme poverty. Out-of-pocket payment AOR: 31.201: 95% CI (12.965–49.673), daily income less than 1.90 USD AOR: 2.081: 95% CI (1.010–3.670), living a medium distance from a health facility AOR: 6.219: 95% CI (1.632–15.418), and chronic disease AOR: 5.647: 95% CI (1.764–18.075.ConclusionIn this study, family size, average daily income, out of pocket payment and chronic diseases were statistically significant and independent predictors for household catastrophic health expenditure. Therefore, to overcome financial risk, the Federal Ministry of Health should develop different guidelines and modalities by considering household per capita and income to improve the enrolment of community-based health insurance. Also, the regional health bureau should improve their budget share of 10% to increase the coverage of poor households. Strengthening financial risk protection mechanisms, such as community-based health insurance, could help to improve healthcare equity and quality.

Catastrophic health expenditure in Benin: Extent, drivers, and policy implications

Large out-of-pocket spending on medical issues can expose households to catastrophic health expenditure, which can result in poverty. This study aimed to estimate the extent of catastrophic health expenditure among households in Benin and to assess the association between household catastrophic health expenditure and household characteristics. We used the 2017 nationally representative household survey for Benin, the “Analyse Globale de la Vulnérabilité et de la Sécurité Alimentaire,” and a logit model to assess the association between catastrophic health expenditure and demographic and socioeconomic household characteristics. The results suggested that 25.49% of households spent 40% of their resources on healthcare. Moreover, households headed by women, the poorest households, those living in rural areas, those headed by a widow, and households with children and elderly members were identified as vulnerable groups that require protection against catastrophic health expenditure. The policy implication of these results is that healthcare financing strategies in Benin should concentrate on finding ways to reduce both out-of-pocket payments and the probability of catastrophic health expenditure. The health insurance policy that is under development in Benin is an opportunity to protect vulnerable groups.

Household catastrophic health expenditure for COVID-19 during March-August 2021, in South India: a cross-sectional study

BackgroundThe Coronavirus disease 2019 (COVID-19) pandemic increased the utilisation of healthcare services. Such utilization could lead to higher out-of-pocket expenditure (OOPE) and catastrophic health expenditures (CHE). We estimated OOPE and the proportion of households that experienced CHE by conducting a cross-sectional survey of 1200 randomly selected confirmed COVID-19 cases.MethodsA cross-sectional survey was conducted by telephonic interviews of 1200 randomly selected COVID-19 patients who tested positive between 1 March and 31 August 2021. We collected household-level information on demographics, income, expenditure, insurance coverage, direct medical and non-medical costs incurred toward COVID-19 management. We estimated the proportion of CHE with a 95% confidence interval. We examined the association of household characteristics; COVID-19 cases, severity, and hospitalisation status with CHE. A multivariable logistic regression analysis was conducted to ascertain the effects of variables of interest on the likelihood that households face CHE due to COVID-19.ResultsThe mean (95%CI) OOPE per household was INR 122,221 (92,744–1,51,698) [US$1,643 (1,247–2,040)]. Among households, 61.7% faced OOPE, and 25.8% experienced CHE due to COVID-19. The odds of facing CHE were high among the households; with a family member over 65 years [OR = 2.89 (2.03–4.12)], with a comorbid individual [OR = 3.38 (2.41–4.75)], in the lowest income quintile [OR = 1.82 (1.12–2.95)], any member visited private hospital [OR = 11.85 (7.68–18.27)]. The odds of having CHE in a household who have received insurance claims [OR = 5.8 (2.81- 11.97)] were high. Households with one and more than one severe COVID-19 increased the risk of CHE by more than two-times and three-times respectively [AOR = 2.67 (1.27–5.58); AOR = 3.18 (1.49–6.81)].ConclusionCOVID-19 severity increases household OOPE and CHE. Strengthening the public healthcare and health insurance with higher health financing is indispensable for financial risk protection of households with severe COVID-19 from CHE.

Factors associated with health care utilization and catastrophic health expenditure among cancer patients in China: Evidence from the China health and retirement longitudinal study.

Cancer, the leading cause of mortality in China, is a significant burden on patients, their families, the medical system, and society at large. However, there is minimal data on health service utilization and catastrophic health expenditure (CHE) among cancer patients in China. The objective of this study was to identify factors associated with health care utilization and CHE in Chinese cancer patients. The 2018 wave of a nationally representative dataset, the China Health and Retirement Longitudinal Study, was used in our study. Of 18,968 respondents recruited for the analysis, 388 were clinically diagnosed with cancer. CHE was defined as household health expenditure that exceeded 40% of non-food household expenses. A binary logistic regression model was used to identify the risks of cancer exposure among all participants, along with the likelihood of CHE in households with cancer patients at the 40% threshold. A negative binomial regression model was used to identify determinants of health service utilization among cancer patients. Contracting a family physician (incidence rate ratio IRR: 2.38, 1.18-4.77), Urban Employee Basic Medical Insurance (IRR: 4.02, 1.91-8.46, compared to the uninsured), Urban and Rural Resident Basic Medical Insurance (IRR: 3.08, 1.46-6.49, compared to the uninsured), and higher per-capita household consumption were positively associated with inpatient service utilization. Patients with a college education and above reported a greater number of outpatient visits (IRR: 5.78, 2.56-13.02) but fewer inpatient hospital days (IRR: 0.37, 0.20-0.67). Being diagnosed with a non-cancer chronic non-communicable disease was associated with an increased number of outpatient visits (IRR: 1.20, 1.10-1.31). Of the 388 participants, 50.1% of households had CHE, which was negatively correlated with a larger household size (odds ratio OR: 0.52, 0.32-0.86) and lower socioeconomic status [for quintile 5 (lowest group) OR: 0.32, 0.14-0.72]. The socioeconomic characteristics of cancer patients had a considerable impact on their healthcare utilization. Individualized and targeted strategies for cancer management should be implemented to identify high-risk populations and trace the utilization of care among Chinese cancer patients. Strategic purchasing models in cancer care and social health insurance with expanded benefits packages for cancer patients are crucial to tackling the cancer burden in China.

Multimorbidity and catastrophic health expenditure: Evidence from the China Health and Retirement Longitudinal Study.

Population aging accompanied by multimorbidity imposes a great burden on households and the healthcare system. This study aimed to determine the incidence and determinants of catastrophic health expenditure (CHE) in the households of old people with multimorbidity in China. Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2018, with 3,511 old people (≥60 years) with multimorbidity responding to the survey on behalf of their households. CHE was identified using two thresholds: ≥10% of out-of-pocket (OOP) health spending in total household expenditure (THE) and ≥40% of OOP health spending in household capacity to pay (CTP) measured by non-food household expenditure. Logistic regression models were established to identify the individual and household characteristics associated with CHE incidence. The median values of THE, OOP health spending, and CTP reached 19,900, 1,500, and 10,520 Yuan, respectively. The CHE incidence reached 31.5% using the ≥40% CTP threshold and 45.6% using the ≥10% THE threshold. It increased by the number of chronic conditions reported by the respondents (aOR = 1.293-1.855, p < 0.05) and decreased with increasing household economic status (aOR = 1.622-4.595 relative the highest quartile, p < 0.001). Hospital admissions over the past year (aOR = 6.707, 95% CI: 5.186 to 8.674) and outpatient visits over the past month (aOR = 4.891, 95% CI: 3.822 to 6.259) of the respondents were the strongest predictors of CHE incidence. The respondents who were male (aOR = 1.266, 95% CI: 1.054 to 1.521), married (OR = 1.502, 95% CI: 1.211 to 1.862), older than 70 years (aOR = 1.288-1.458 relative to 60-69 years, p < 0.05), completed primary (aOR = 1.328 relative to illiterate, 95% CI: 1.079 to 1.635) or secondary school education (aOR = 1.305 relative to illiterate, 95% CI: 1.002 to 1.701), lived in a small (≤2 members) household (aOR = 2.207, 95% CI: 1.825 to 2.669), and resided in the northeast region (aOR = 1.935 relative to eastern, 95% CI: 1.396 to 2.682) were more likely to incur CHE. Multimorbidity is a significant risk of CHE. Household CHE incidence increases with the number of reported chronic conditions. Socioeconomic and regional disparities in CHE incidence persist in China.

Association of Body Mass Index with Risk of Household Catastrophic Health Expenditure in China: A Population-Based Cohort Study.

Catastrophic health expenditure (CHE) is a major obstacle to achieving universal health coverage, and body mass index (BMI) is linked to both health and economy. We aimed to explore the association of BMI with the risk of CHE to provide advice for reducing CHE. We used national cohort data from the China Family Panel Studies, which comprised 33,598 individuals (14,607 households) from 25 provinces between 2010 to 2018. We used multivariate Cox proportional hazard models to estimate adjusted hazard ratios (aHRs) and 95% confident interval (CI) for CHE in participants at underweight, overweight, and obesity, compared with those at normal weight. Restricted cubic splines were employed to model the association of continuous BMI scale with risk of CHE. We found that families with female household heads at underweight had a 42% higher risk of CHE (aHR = 1.42, 95%CI: 1.16–1.75), and those at overweight had a 26% increased risk of CHE (aHR = 1.26, 95%CI: 1.09–1.47), compared with those at normal weight. A weak U-shaped curve for the association of continuous BMI with risk of CHE in female-headed households (p for non-linear = 0.0008) was observed, which was not significant in male-headed households (p for non-linear = 0.8725). In female-headed households, underweight and overweight BMI are connected with a higher risk of CHE. Concerted efforts should be made to keep a normal BMI to prevent CHE.

Catastrophic health expenditure in the Northern midlands and mountainous areas and its determinants, Vietnam from 2014 to 2020: a cross-sectional study

ObjectivesThe study assesses households’ catastrophic health expenditure (CHE) by income group, urban versus rural area, and influencing factors in the Northern midlands and mountainous areas of Vietnam.Design/settingA cross-sectional study with...

Catastrophic Expenditure for Health in the Philippines

Catastrophic Expenditure for Health in the Philippines

Household Catastrophic Health Expenditure from Oral Potentially Malignant Disorders and Oral Cancer in Public Healthcare of Malaysia.

Objective:Oral cancer causes a significant disease burden and financial distress, especially among disadvantaged groups. While Malaysia has achieved universal health coverage via its highly subsidized public healthcare, patient and family expenditure for treatment of oral potentially malignant disorders (OPMD) and oral cancer remains a concern in the equitability of care. This study thus aims to estimate household out-of-pocket (OOP) expenditures and the extent of catastrophic healthcare expenditure (CHE) while identifying its predictors. Methods:This three-part study consists of a cross-sectional survey to collect sociodemographic and health utilization data of patients, a retrospective medical record abstraction to identify resources consumed, and cost modeling to simulate expenditures in two tertiary public hospitals. Loss of productivity was calculated based on absenteeism related to disease management in the hospital. OOP payments for transport, care in public healthcare facilities, and other healthcare expenditures were tallied. A CHE was defined as OOP spendings of more than 10% from total annual household income. Multivariable logistic regression was further applied to identify the association between sociodemographic factors and the incidence of CHE. Results:A total of 52 patients with OPMD and 52 with oral cancer were surveyed and medical records were abstracted. A Kruskal-Wallis test showed a statistically significant difference in OOP share over household income between OPMD, early- and late-stage cancer, χ2(2)=51.05, p<0.001, with the mean percentage of 9%, 22%, and 65% respectively. This study found that the prevalence of CHE in the first year of diagnosis was 86.5% for oral cancer and 19.2% for OPMD. Indian ethnicity (OR=6.24, p=0.046) and monthly income group ‘less than USD 2,722’ (OR=14.32, p=0.023) were shown as significant predictors for CHE. Conclusions:Our study demonstrated the provision of subsidies may not be adequate to shield the more vulnerable group from CHE when they are diagnosed with OPMD and oral cancer.

Financial burden of catastrophic health expenditure on households with chronic diseases: financial ratio analysis

BackgroundThe financial status of households is vulnerable to chronic diseases which entail high medical expenses and income loss. Financial strain can be assessed by four indicators: a household surplus indicator, the liquid asset/debt ratio, a solvency indicator, and a liquidity indicator. We investigated the association between catastrophic health expenditure (CHE) and financial ratio indicators in households with chronic diseases in South Korea.MethodsThis study applied thresholds to the financial ratios to determine the financial strain. We conducted multiple logistic regression analyses to determine whether CHE is associated with financial strain. Furthermore, we analyzed the relationship between CHE and basic financial indicators, absolute finance size, using multiple linear regression.ResultsWhen CHE occurred, all financial ratio indicators deteriorated. However, this was not due to decreases in the absolute size of wealth and income, but rather the relative balance between finances. In particular, the loss of liquid assets was a major factor in the deterioration. In addition, all types of labor-related income deteriorated; only private transfer income increased.ConclusionsThis study revealed that CHE in households with chronic diseases negatively impacts household finances. It was found that financial coping strategies are only resource consuming.

Sarcopenia and catastrophic health expenditure by socio-economic groups in China: an analysis of household-based panel data.

BackgroundSarcopenia was thought to be associated with adverse outcomes and will cause lots of health expenditure. But the relationship between sarcopenia and catastrophic health expenditure (CHE) had been little explored. Here, we examined the distribution of sarcopenia in relation to medical and payment burdens.MethodsWe used data from three waves of China Health and Retirement Longitudinal Study including 14 130 participants from 9077 households aged over 50 years old. Sarcopenia was operationalized according to the Asian Working Group for Sarcopenia 2019. Medical expenditure was obtained by self‐reported data, and CHE was identified by WHO definitions. We used the negative binomial regression model and logistic mixed‐effects models to examine the associations between sarcopenia and medical and CHE.ResultsA total of 14 130 participants [52.2% female, aged 60.8 (SD 9.3)] from 9077 households were included in this study. The prevalence of sarcopenia was 19.8%, 11.9% for moderate sarcopenia, and 7.9% for severe sarcopenia, respectively. We identified 1416 household CHE events in all three waves. Severe sarcopenia was associated with an increase in the number of inpatient visits [incidence rate ratio 1.31, 95% confidence interval (CI): 1.03–1.66, P = 0.03] and the risk of CHE (odds ratio: 1.04, 95% CI: 1.01–1.07, P < 0.01). We saw similar effects in health service use of sarcopenia in different socio‐economic groups. Moderate sarcopenia increased the risk of CHE in the lowest socio‐economic group (odds ratio 1.03, 95% CI: 1.01–1.06, P = 0.03) and had no statistical significance in other groups. The association between severe sarcopenia and CHE did not attenuate after the adjustment of disease factors.ConclusionsSevere sarcopenia may increase the risk of CHE. Timely and effective intervention on moderate sarcopenia from severe sarcopenia will contribute to reduce the health burden.

Universal Health Insurance Coverage and the Economic Burden of Disease in Eastern China: A Pooled Cross-Sectional Analysis From the National Health Service Survey in Jiangsu Province.

China has achieved universal social health insurance coverage, but it is unclear whether this has alleviated the economic burden of disease for individuals. This was investigated in the present study by analyzing National Health Service Survey (2008–2018) data from Jiangsu province. Ordinary least squares and binary multivariate logistic regression of pooled cross-sectional data were carried out to evaluate the effect of universal health insurance coverage and other socioeconomic factors on the economic burden of disease. Total health expenses (THE) first increased and then decreased during the survey period while out-of-pocket health expenses (OOP) decreased except for urban residents, for whom OOP increased after 2013. Household catastrophic health expenditure (HCHE) was stable between 2008 and 2013 but increased after 2013. Social health insurance had a significant positive effect on the annual THE and OOP and a negative effect on HCHE, however, universal health insurance coverage could alleviated THE and the economic burden of disease on individuals (OOP) while it was insufficient to protect against the economic risk of diseases (HCHE), with greater benefits for urban as compared to rural residents. Other socioeconomic factors including age, marital status, education, income, and health status also influenced the economic burden of disease.

The Determinants of Turkey Household Catastrophic Health Expenditures: A Different Approach by Data Mining

This study aims to determine socioeconomic, demographic, and household characteristics that affect Turkish household catastrophic health expenditure (CHE). Data gathered by TurkStat belonging to 40,033 households for the years 2009-2012 were used in the analysis. In the study, CHE was defined as household health expenditures that were 40% (or above) greater than the capacity pay of the household. CHAID analysis was used to determine characteristics affecting Turkish household CHE. According to the CHAID analysis; income, presence of a sick/disabled person, residential area, household size, age, education level and gender of the household head, presence of individuals aged 65+, presence of people between the ages of zero and five, and access to health institutions have been observed to affect CHE, while the marital status, age, and employment status of the head of the household, or the household type do not affect CHE. The proportion of households exposed to CHE was 0.62%, and the proportion of households making out-of-pocket health expenditure (OOPHE) was 62.71%. It was especially observed that households with low income, with sick/disabled individuals, and those with difficult access to healthcare facilities are more likely to be exposed to CHE. None of the households exposed to CHE has supplementary health insurance.

Household catastrophic health expenditure and its effective factors: a case of Iran

BackgroundThe World Health Organization (WHO) has placed special emphasis on protecting households from health care expenditures. Many households face catastrophic health expenditures (CHEs) from a combination of economic poverty and financing the treatment of medical conditions. The present study aimed to measure the percentage of households facing catastrophic CHEs and the factors associated with the occurrence of CHEs in Shiraz, Iran in 2018.MethodsThe present cross-sectional study was performed on 740 randomly selected households from different districts of Shiraz, Iran in 2018 using a multi-stage sampling method. Data were collected using the Persian version of the “WHO Global Health Survey” questionnaire. CHEs were defined as health expenditures exceeding 40% of households’ capacity to pay. Households living below the poverty line before paying for health services were excluded from the study. The associations between the households’ characteristics and facing CHEs were determined using the Chi-Square test as well as multiple logistic regression modeling in SPSS 23.0 at the significance level of 5%.ResultsThe results showed that 16.48% of studied households had faced CHEs. The higher odds of facing CHEs were observed in the households living in rented houses (OR = 3.14, P-value < 0.001), households with disabled members (OR = 27.98, P-value < 0.001), households with children under 5 years old (OR = 2.718, P-value = 0.02), and those without supplementary health insurance coverage (OR = 1.87, P-value = 0.01).ConclusionCHEs may be reduced by increasing the use of supplementary health insurance coverage by individuals and households, increasing the support of the Social Security and the State Welfare Organizations for households with disabled members, developing programs such as the Integrated Child Care Programs, and setting home rental policies and housing policies for tenants.