Financial costs of assisted reproductive technology for patients in low- and middle-income countries: a systematic review.

STUDY QUESTION: What are the direct costs of assisted reproductive technology (ART), and how affordable is it for patients in low- and middle-income countries (LMICS)? SUMMARY ANSWER: Direct medical costs paid by patients for infertility treatment are significantly higher than annual average income and GDP per capita, pointing to unaffordability and the risk of catastrophic expenditure for those in need. WHAT IS KNOWN ALREADY: Infertility treatment is largely inaccessible to many people in LMICs. Our analysis shows that no study in LMICs has previously compared ART medical costs across countries in international dollar terms (US$PPP) or correlated the medical costs with economic indicators, financing mechanisms, and policy regulations. Previous systematic reviews on costs have been limited to high-income countries while those in LMICs have only focussed on descriptive analyses of these costs. STUDY DESIGN SIZE DURATION: Guided by the preferred reporting items for systematic reviews and meta-analyses (PRISMA), we searched PubMed, Web of Science, Cumulative Index of Nursing and Allied Health Literature, EconLit, PsycINFO, Latin American & Caribbean Health Sciences Literature, and grey literature for studies published in all languages from LMICs between 2001 and 2020. PARTICIPANTS/MATERIALS SETTING METHODS: The primary outcome of interest was direct medical costs paid by patients for one ART cycle. To gauge ART affordability, direct medical costs were correlated with the GDP per capita or average income of respective countries. ART regulations and public financing mechanisms were analyzed to provide information on the healthcare contexts in the countries. The quality of included studies was assessed using the Integrated Quality Criteria for Review of Multiple Study designs. MAIN RESULTS AND THE ROLE OF CHANCE: Of the 4062 studies identified, 26 studies from 17 countries met the inclusion criteria. There were wide disparities across countries in the direct medical costs paid by patients for ART ranging from USD2109 to USD18 592. Relative ART costs and GDP per capita showed a negative correlation, with the costs in Africa and South-East Asia being on average up to 200% of the GDP per capita. Lower relative costs in the Americas and the Eastern Mediterranean regions were associated with the presence of ART regulations and government financing mechanisms. LIMITATIONS REASONS FOR CAUTION: Several included studies were not primarily designed to examine the cost of ART and thus lacked comprehensive details of the costs. However, a sensitivity analysis showed that exclusion of studies with below the minimum quality score did not change the conclusions on the outcome of interest. WIDER IMPLICATIONS OF THE FINDINGS: Governments in LMICs should devise appropriate ART regulatory policies and implement effective mechanisms for public financing of fertility care to improve equity in access. The findings of this review should inform advocacy for ART regulatory frameworks in LMICs and the integration of infertility treatment as an essential service under universal health coverage. STUDY FUNDING/COMPETING INTERESTS: This work received funding from the UNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), a cosponsored programme executed by the World Health Organization (WHO). The authors declare no competing interests. TRIAL REGISTRATION NUMBER: This review is registered with PROSPERO, CRD42020199312.

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.

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 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.

Economic costs of infertility care for patients in low-income and middle-income countries: a systematic review protocol.

INTRODUCTION: Infertility, a condition of the reproductive system, affects millions of individuals and couples worldwide. Despite infertility treatment's existence, it is largely unavailable and inaccessible in low/middle-income countries (LMICs) due to the prohibitive costs compounded by an absence of financing. Previous systematic reviews have shown that there is scanty information in LMICs on out-of-pocket (OOP) payments for infertility treatment. This protocol outlines the methodological approach and analytical process to appraise the extent of economic burden due to payments for infertility care services in LMICs. METHOD AND ANALYSIS: Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach, we will primarily search for articles indexed in PubMed, Web of Science, Cumulative Index of Nursing and Allied Health Literature, EconLit and PsycINFO databases. Grey literature from relevant organisations' virtual libraries shall also be searched. Backward and forward searches on the articles selected will also be done. Quantitative studies on infertility treatment costs from LMICs across the world regions within the last 20 years will be considered. The primary outcome of interest shall include OOP payments, catastrophic health expenditure and direct costs for infertility services. Conversely, informal payments and indirect costs related to infertility treatments shall be considered as secondary outcomes. Integrated quality Criteria for Review Of Multiple Study designs will be used to assess the quality of the studies included in the review. Meta-analysis shall be considered if sufficient studies identified are homogenous in characteristics. Also, the review shall analyse the average cost of infertility treatment against the respective countries' economic indicators like gross domestic product per capita if data permit. ETHICS AND DISSEMINATION: Research and ethics approval will not be required given this will be a review of published articles on the subject. The findings shall be disseminated through publication in a peer-reviewed journal and presentation to the WHO and its partners. PROSPERO REGISTRATION NUMBER: CRD42020199312.

Cost-related unmet need for healthcare services in Kenya.

BACKGROUND: The assessment of unmet need is one way to gauge inequities in access to healthcare services. While there are multiple reasons for unmet need, financial barriers are a major reason particularly in low- and middle-income countries where healthcare systems do not offer financial protection. Moreover, accessibility and affordability are paramount in achieving universal health coverage. This study examines the extent of unmet need in Kenya due to financial barriers, the associated determinants, and the influence of regional variations. METHODS: We use data from the 2013 Kenya household health expenditure and utilization (KHHEUS) cross sectional survey. Self-reported unmet need due to lack of money and high costs of care is used to compute the outcome of interest. A multilevel regression model is employed to assess the determinants of cost-related unmet need, confounding for the effect of variations at the regional level. RESULTS: Cost-related barriers are the main cause of unmet need for outpatient and inpatient services, with wide variations across the counties. A positive association between county poverty rates and cost-related unmet is noted. Results reveal a higher intraclass correlation coefficient (ICC) of 0.359(35.9%) for inpatient services relative to 0.091(9.1%) for outpatient services. Overall, differences between counties accounted for 9.4% (ICC ~ 0.094) of the total variance in cost-related unmet need. Factors that positively influence cost-related unmet need include older household heads, inpatient services, and urban residence. Education of household head, good self-rated health, larger household size, insured households, and higher wealth quintiles are negatively associated with cost-related unmet need. CONCLUSION: The findings underscore the important role of cost in enabling access to healthcare services. The county level is seen to have a significant influence on cost-related unmet need. The variations noted in cost-related unmet need across the counties signify the existence of wide disparities within and between counties. Scaling up of health financing mechanisms would fundamentally require a multi-layered approach with a focus on the relatively poor counties to address the variations in access. Further segmentation of the population for better targeting of health financing policies is paramount, to address equity in access for the most vulnerable and marginalized populations.

Understanding variations in catastrophic health expenditure, its underlying determinants and impoverishment in Sub-Saharan African countries: a scoping review.

BACKGROUND: To assess the financial burden due to out of pocket (OOP) payments, two mutually exclusive approaches have been used: catastrophic health expenditure (CHE) and impoverishment. Sub-Saharan African (SSA) countries primarily rely on OOP and are thus challenged with providing financial protection to the populations. To understand the variations in CHE and impoverishment in SSA, and the underlying determinants of CHE, a scoping review of the existing evidence was conducted. METHODS: This review is guided by Arksey and O'Malley scoping review framework. A search was conducted in several databases including PubMed, EBSCO (EconLit, PsychoInfo, CINAHL), Web of Science, Jstor and virtual libraries of the World Health Organizations (WHO) and the World Bank. The primary outcome of interest was catastrophic health expenditure/impoverishment, while the secondary outcome was the associated risk factors. RESULTS: Thirty-four (34) studies that met the inclusion criteria were fully assessed. CHE was higher amongst West African countries and amongst patients receiving treatment for HIV/ART, TB, malaria and chronic illnesses. Risk factors associated with CHE included household economic status, type of health provider, socio-demographic characteristics of household members, type of illness, social insurance schemes, geographical location and household size/composition. The proportion of households that are impoverished has increased over time across countries and also within the countries. CONCLUSION: This review demonstrated that CHE/impoverishment is pervasive in SSA, and the magnitude varies across and within countries and over time. Socio-economic factors are seen to drive CHE with the poor being the most affected, and they vary across countries. This calls for intensifying health policies and financing structures in SSA, to provide equitable access to all populations especially the most poor and vulnerable. There is a need to innovate and draw lessons from the 'informal' social networks/schemes as they are reported to be more effective in cushioning the financial burden.