Medical, transportation and spiritual out-of-pocket health expenditure on outpatient and inpatient visits in Bhutan

Inequality of opportunity in outpatient expenditure among the elderly with multimorbidity: evidence from China

BACKGROUND

Inequality of opportunity (IOp) stemming from social circumstances exists in outpatient service utilization for the multimorbid elderly in China. However, little is known regarding the magnitude of the IOp and its composition. Therefore, this study aims to measure the IOp in outpatient expenditure and provide potential pathways for policy reform by assessing the contribution of each circumstance.

METHODS

This study included 3527 elderly aged ≥ 65 years with multimorbidity from the Chinese Longitudinal Healthy Longevity Study conducted in 2017-2018. An ordinary least squares regression model was used to analyze the circumstance-influencing factors of outpatient expenditure. The parametric approach was performed to quantify the IOp in outpatient expenditure and the Shapley value decomposition method was employed to determine the contribution of each circumstance. By extracting heterogeneity in the residual of the circumstance-dependent equation of outpatient expenditure across circumstance groups divided based on cluster analysis, we captured the effect of unobserved circumstances.

RESULTS

Except for pension and distance to health facilities, all the associations between circumstance and outpatient expenditure were statistically significant. The inequality caused by circumstances accounted for 25.18% of the total inequality. The decomposition results revealed that the reimbursement rate contributed 82.92% of the IOp, followed by education duration (4.55%), household registration (3.21%), household income (3.18%), pension (1.49%), medical insurance (1.26%), physical labor (0.99%), unobserved circumstances (0.86%), distance to health facilities (0.83%) and region (0.71%).

CONCLUSIONS

The priority of policy enhancement is to effectively improve the outpatient reimbursement benefit for treating chronic diseases. Additional crucial actions include enhancing the health literacy of the multimorbid elderly to promote the shift from medical needs to demands and accelerating the construction of rural capacity for providing high-quality healthcare to the elderly with multimorbidity.

Effects of transport-carbon intensity, transportation, and economic complexity on environmental and health expenditures

Health and the environment are complex components of the countries, influenced by several factors, especially transport, and economics. Thus, this paper assesses the role of transportation and economic complexity in the environment and public health for the Organization for Economic Co-operation Development (OECD) countries from 2001 to 2020. This study also focuses on the relationship between transport and economic complexity with environmental and healthcare expenditures. Precisely, transport and economic activities stimulate healthcare expenditures through multiple channels. The current study employs the STIRPAT model to investigate the association with transportation, economic complexity, transport-carbon intensity, and healthcare expenditure. Besides, the current research confirms the plausible cross-sectional dependency across countries, and it adopts a second-generation technique. Analytical findings suggest that transportation-carbon intensity is positively and significantly associated with healthcare expenditures. Healthcare and transport-household expenditures increase transport-carbon intensity (TCI) by 75% and 45%, respectively, in the long run. In the contrast, TCI and transport-household expenditures have also a remarkable impact on healthcare expenditures and are estimated approximately 95% in the long run. Moreover, economic growth also upsurges TCI and healthcare expenditures through multiple economic activities. Besides, transport-household expenditures (THE) drastically impact transport-carbon intensity and healthcare expenditures (HEX) through passenger traffic (PTF). Diagnostic upshots unveil that the joint effect of THE and PTF increases TCI and HEX by 4 and 3%, respectively. Finally, findings recommend some policy implications and future research directions for the countries based on empirical outcomes. Countries should regulate economic activities to reduce transport carbon emissions.

Challenges in moving toward universal health coverage: rising cost of outpatient care among Vietnam's insured rural residents, 2006-2018

OBJECTIVES

The aim of this study was to assess temporal trends in out-of-pocket (OOP) expenditures per outpatient contact by the insured residents in rural Vietnam.

STUDY DESIGN

This was a repeated cross-sectional study.

METHODS

Seven biennial waves from the Vietnam's Household Living Standard Survey covering the period 2006-2018 and a two-part model were used to assess temporal trends in OOP expenditures and its variations across various health facilities while controlling for a wide array of individual- and household-specific characteristics.

RESULTS

The pattern of health facility utilization shifted steadily from commune health centers toward higher level government hospitals and private health facilities between 2006 and 2018. The regression results indicated an upward trend in the amount of OOP expenditures, with the amount of OOP expenditures incurred per outpatient contact being 40.3% higher in 2010-2012 than in 2006-2008 and by as much as 155.5% higher in 2018. These high-cost pressures were attenuated by 63%-65% when accounting for the types of health facility contacted. The cost inflation was more pronounced for care sought at higher level government hospitals and private hospitals than at other health facilities.

CONCLUSION

The cost of accessing outpatient care rose sharply between 2006 and 2018, particularly for visits involving higher level government hospitals and private hospitals. These findings suggest that beside expanding the coverage over the transition path to universal coverage, efforts should be directed at reforming Vietnam's hospital-centric and fragmented delivery system as a way of containing costs and ensuring financial sustainability of social health insurance system.

A public-private partnership based model for regulating out-of-pocket expenditures to strengthen primary care system

In developing countries like India, the cost of health care is largely borne by patient out-of-pocket payments. Recent studies have reported that patients skip public-funded clinics providing free consultation for distant private care providers. Some of the reasons identified for such behaviour include longer waiting times, perception regarding quality of care, etc. Therefore, optimal allocation of existing and new capacity is critical for a greater public interest. This article presents a decision-making framework towards this intent for strengthening the existing government primary healthcare network. In this article, a mixed-integer linear programing (MILP) model is developed for optimal reconfiguration of the existing government primary healthcare network to minimise patient out-of-pocket expenditures (OOPE). The model involves three types of facilities: Primary Health Centre (PHC), Community Health Centre (CHC), and Private OPD (outpatient department). Implementation of the proposed model can help in reducing out-of-pocket expenditures. The optimization model proposed in the article is unique as it incorporates for the first time, patient out-of-pocket expenditure, capacity reconfiguration, and public-private partnership decisions in the primary healthcare system. A solution algorithm is also proposed for the optimization model. The model would be useful for theory development and also in policy-making.

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

BACKGROUND

Sarcopenia 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.

METHODS

We 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.

RESULTS

A 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.

CONCLUSIONS

Severe sarcopenia may increase the risk of CHE. Timely and effective intervention on moderate sarcopenia from severe sarcopenia will contribute to reduce the health burden.

Determinants of Turkish households' out-of-pocket expenditures on three categories of health care services: A multivariate probit approach

This study identifies the driving forces that contribute to the probabilities of incidence of out-of-pocket (OOP) expenditures by households in Turkey. Factors affecting the probability of OOP expenditures on medical products/devices/supplies (MP), outpatient services (OTS), and inpatient services (ITS) are examined using the Household Budget Survey data gathered by the Turkish Statistical Institute in 2018. The study applies the multivariate probit model. The incidence of OOP spending varied with 48.9% of the households reporting OOP expenditure on MP, 22.4% on OTS, and 25.4% on ITS. The largest probability changes were associated with household disposable annual income, household type and size, age category, and having private health insurance. Gender and marital status also influenced expenditures in some categories. Lifestyle choices had small and mixed effects, with smoking and alcohol consumption lowering the probability of OOP spending. From a policy standpoint, households with the lowest incomes, large households, and those where the household head was 'others' (retiree, student, housewife, not actively working, etc.) or had a condition preventing employment seemed to report OOP expenditures less frequently and may have chosen not to receive healthcare services, leading to the need for more healthcare services later.