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

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

BACKGROUND

Multimorbidity 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.

METHODS

We 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.

RESULTS

Among 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.

CONCLUSIONS

Approximately 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.

Assessing the inequality in out-of-pocket health expenditure among the chronically and non-chronically ill in Saudi Arabia: a Blinder-Oaxaca decomposition analysis

BACKGROUND

Many high-income countries have made significant progress towards achieving universal health coverage. Nevertheless, out-of-pocket (OOP) health expenditure continues to undermine the effectiveness of the universal healthcare system. In Saudi Arabia, due to the overburdened free public health services, many people opt for alternative healthcare services, risking high OOP payments. The presence of chronic illness further exacerbates this situation. However, there is limited evidence on the extent of the gap in OOP health expenditure between the chronically and non-chronically ill and the associated drivers contributing to this gap. The aim of this study was to assess inequalities in relative OOP health expenditure, estimated as the percentage of income spent on healthcare, between the chronically and non-chronically ill in Saudi Arabia and their associated drivers.

METHODS

Data from 10,785 respondents were obtained from a national cross-sectional survey conducted in Saudi Arabia as part of the 2018 Family Health Survey. Inequalities in relative OOP health expenditure were measured using concentration indices and curves. A Blinder-Oaxaca decomposition analysis was used to assess the differences in relative OOP health expenditure between the chronically and non-chronically ill.

RESULTS

The results showed that the chronically ill experience a higher financial burden due to healthcare services in absolute costs and relative to their income compared to the non-chronically ill. In addition, there was higher pro-poor inequality (-0.1985) in relative OOP health expenditure among the chronically ill compared to that (-0.1195) among the non-chronically ill. There was a 2.6% gap in relative OOP health expenditure among the chronically and non-chronically ill, of which 53.8% was attributable to unexplained factors, with explained factors accounting for the 46.2% difference. Factors that significantly contributed to the overall gap (i.e. both explained and non-explained factors) included employment status, insurance status, self-rated health, and periodic check-ups.

CONCLUSION

This study underscores the high financial burden due to OOP payments among the chronically ill and the existence of pro-poor inequalities. In addition, there is a significant gap in relative OOP health expenditure between the chronically and non-chronically ill, which is mainly attributable to differences in socio-economic characteristics. This indicates that the existing financial mechanisms have not been sufficient in cushioning the chronically ill and less well off in Saudi Arabia. This situation calls for health policymakers to integrate a social safety net into the health financing system and to prioritize the disadvantaged population, thereby ensuring access to health services without experiencing financial hardship.

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.

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.

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.

Exploring dynamics in catastrophic health care expenditure in Nigeria

BACKGROUND

The Nigeria's National Health Insurance Scheme aimed at making health care accessible and affordable since it's became operational in 2005. However, many Nigerians still pay out of pocket for medical expenses, and this drive them to incurring catastrophic health expenditures. Although monitoring progress towards UHC is crucial, one single study exploring the dynamics in catastrophic health expenditure proportion, associated factors, inequality concentration, inequality size, together with decomposition using a longer period Nigeria panel household survey datasets is very scarce.

METHODS

Data was drawn from three rounds of the Nigeria General Household Survey. The fixed percentage and rank-dependent thresholds were used to calculate and compare the proportion of households that incur catastrophic health expenditures. The logistic regression model was employed in analyzing the factors associated with catastrophic health expenditures. The concentration of catastrophic health expenditures inequality was assessed using the concentration curve, whereas the inequality size was determined using the concentration index. The decomposition method was used to decompose the concentration index into determining components.

RESULTS

Relative to the fixed threshold value, the rank-dependent threshold revealed a higher share of households facing catastrophic health expenditures i.e., from 27% in 2010/2011 to 48% in 2015/2016. The two thresholds reveal similar trend, but differ in percentage points. The key factors associated with catastrophic health expenditures were economic status and geopolitical zone. Inequality in catastrophic health expenditures was found to be concentrated among the poor. The household economic status was uncovered as the major positive contributor to catastrophic health expenditures inequality across the sample periods.

CONCLUSION

The findings of the study imply that narrowing economic status gap across households, and increasing the depth of insurance are crucial mechanisms to reduce the probability of incurring catastrophic health expenditures among the poor in Nigeria.

Impact of household shocks on access to healthcare services in Kenya: a propensity score matching analysis

OBJECTIVE

This study examines the effects of household shocks on access to healthcare services in Kenya. Shocks are adverse events that lead to loss of household income and/or assets.

DESIGN AND SETTING

The study used data from the Kenya Integrated Household Budget Survey 2015/2016, a nationally representative cross-sectional survey. A propensity score matching approach was applied for the analysis.

PARTICIPANTS

The study sample included 16 297 individuals from households that had experienced shocks (intervention) and those that had not experienced shocks (control) within the last 12 months preceding the survey.

OUTCOME MEASURES

The outcome of interest was access to healthcare services based on an individual's perceived need for health intervention.

RESULTS

The results indicate that shocks reduce access to healthcare services when household members are confronted with an illness. We observed that multiple shocks in a household exacerbate the risk of not accessing healthcare services. Asset shocks had a significant negative effect on access to healthcare services, whereas the effect of income shocks was not statistically significant. This is presumably due to the smoothing out of income shocks through the sale of assets or borrowing. However, considering the time when the shock occurred, we observed mixed results that varied according to the type of shock.

CONCLUSIONS

The findings suggest that shocks can limit the capacity of households to invest in healthcare services, emphasising their vulnerability to risks and inability to cope with the consequences. These results provoke a debate on the causal pathway of household economic shocks and health-seeking behaviour. The results suggest a need for social protection programmes to integrate mechanisms that enable households to build resilience to shocks. A more viable approach would be to expedite universal health insurance to cushion households from forgoing needed healthcare when confronted with unanticipated risks.

Decomposition of inequalities in out-of-pocket health expenditure burden in Saudi Arabia

Out-of-pocket (OOP) health expenditure remains a serious welfare problem worldwide. The aim of this study was to investigate and decompose factors that are associated with inequalities in relative OOP health expenditure, estimated as the percentage of income spent on healthcare, in Saudi Arabia. Data from 10,785 respondents were obtained from a national cross-sectional survey conducted in Saudi Arabia as a part of the 2018 Family Health Survey. Inequalities in relative OOP health expenditure were measured using concentration indices and concentration curves. Moreover, the Wagstaff approach was used to decompose the concentration index of relative OOP health expenditure to assess the contribution of each of its determinants. The results revealed that relative OOP health expenditure in Saudi Arabia are concentrated among the poor (concentration index = -0.151, p < 0.01), resulting in a greater burden for the poor. Decomposition of the factors that contribute to this inequality revealed heterogeneity. Specifically, factors that increase the burden amongst the poor included aged above 60 years, and low levels of education, whereas factors that increase the burden amongst the rich included male gender, below the age of 60 years, secondary and higher education, having health insurance coverage, and suffering from chronic illnesses. Importantly, these results demonstrate that poor people might be exposed to hazardous health spending. Therefore, efforts to curbing OOP health expenditure should be framed by taking into account the specific factors that drive the burden towards the poor, such as older age and lack of education, so as to safeguard the overall welfare of the poor.