Assessing the impoverishing effects, and factors associated with the incidence of catastrophic health care payments in Kenya

Social Health Insurance for Universal Health Coverage in Low and Middle-Income Countries (LMICs): a retrospective policy analysis of attainments, setbacks and equity implications of Kenya's social health insurance model

OBJECTIVES

To analyse the potential of the Social Health Insurance (SHI) model to support the achievement of Universal Health Coverage (UHC) in Low and Middle-Income Countries (LMICs) through a policy analysis case study of Kenya's National Health Insurance Fund (NHIF).

DESIGN

We used an adaptation of the policy triangle framework to perform a retrospective policy analysis of Kenya's NHIF, drawing from semistructured interviews and analysis of published documents and grey literature.

SETTING

We focused on Kenya's NHIF as a case study.

PARTICIPANTS

We conducted 21 interviews with key stakeholders including policy experts, healthcare providers and formal and informal sector workers. We then triangulated the interview findings with document analysis.

RESULTS

Only 17% of Kenya's population are currently covered by the SHI as of 2023. Only 27% of the informal economy is covered by the NHIF, implying very low uptake and/or retention rates. We found little stakeholder engagement in the policy implementation process and minimum adoption of expert advice. Our analysis suggest that political affiliations and positions of power heavily influence health financing policies in Kenya. Purchasing and payment of healthcare was found to be riddled with inefficiencies, including slow bureaucratic reimbursement procedures, little expertise by rural hospital clerks, misappropriations and favouritism of specific private healthcare providers. We also found that group-based parallel schemes and penalty payments for defaulted premiums widened the existing inequity gap in healthcare access.

CONCLUSION

Although the SHI system is perceived to increase coverage and the quality of health services in Kenya, substantial structural and contextual challenges appear to deter its suitability to finance the attainment of Universal Health Coverage. From Kenya's experience, we identify little informal sector participation, inefficiencies in purchasing and payment of healthcare services, as well lack of political goodwill, as key bottlenecks for the implementation of SHI schemes in LMICs. LMICs adopting SHI need to also implement co-financing arrangements that do not impose on the population to co-finance, strategic purchasing systems, political goodwill and good governance for the SHI systems to be beneficial.

Evaluating the effectiveness of the National Health Insurance Subsidy Programme within Kenya's universal health coverage initiative: a study protocol

BACKGROUND

Low-income and middle-income countries, including Kenya, are pursuing universal health coverage (UHC) through the establishment of Social Health Insurance programmes. As Kenya rolls out the recently unveiled UHC strategy that includes a national indigent cover programme, the goal of this study is to evaluate the impact of health insurance subsidy on poor households' healthcare costs and utilisation. We will also assess the effectiveness and equity in the beneficiary identification approach employed.

METHODOLOGY AND ANALYSIS

Using a quantitative design with quasi-experimental and cross-sectional methods, our matched cohort study will recruit 1350 households across three purposively selected counties. The 'exposure' arm, enrolled in the UHC indigent programme, will be compared with a control arm of eligible but unenrolled households over 12 months. Coarsened exact matching will be used to pair households based on baseline characteristics, analysing differences in expenses and catastrophic health expenditure. A cross-sectional design will be employed to evaluate the effectiveness and equity in beneficiary identification, estimating inclusion errors associated with the subsidy programme while assessing gender equity.

ETHICS AND DISSEMINATION

Ethical approval has been obtained from the Scientific and Ethics Review Unit at Kenya Medical Research Institute, with additional permissions sought from County Health Departments. Participants will provide written informed consent. Dissemination strategies include peer-reviewed publications, conference presentations and policy-maker engagement for broad accessibility and impact.

Can "the expanded free maternity services" enable Kenya to achieve universal health coverage by 2030: qualitative study on experiences of mothers and healthcare providers

Introduction

Universal health coverage is a global agenda within the sustainable development goals. While nations are attempting to pursue this agenda, the pathways to its realization vary across countries in relation to service, quality, financial accessibility, and equity. Kenya is no exception and has embarked on an initiative, including universal coverage of maternal health services to mitigate maternal morbidity and mortality rates. The implementation of expanded free maternity services, known as the Linda Mama (Taking Care of the Mother) targets pregnant women, newborns, and infants by providing cost-free maternal healthcare services. However, the efficacy of the Linda Mama (LM) initiative remains uncertain. This article therefore explores whether LM could enable Kenya to achieve UHC.

Methods

This descriptive qualitative study employs in-depth interviews, focus group discussions, informal conversations, and participant observation conducted in Kilifi County, Kenya, with mothers and healthcare providers.

Results and discussion

The findings suggest that Linda Mama has resulted in increased rates of skilled care births, improved maternal healthcare outcomes, and the introduction of comprehensive maternal and child health training for healthcare professionals, thereby enhancing quality of care. Nonetheless, challenges persist, including discrepancies and shortages in human resources, supplies, and infrastructure and the politicization of healthcare both locally and globally. Despite these challenges, the expanding reach of Linda Mama offers promise for better maternal health. Finally, continuous sensitization efforts are essential to foster trust in Linda Mama and facilitate progress toward universal health coverage in Kenya.

Barriers of access to primary healthcare services by National Health Insurance Fund capitated members in Uasin Gishu county, Kenya

PURPOSE

The study identifies provision of primary healthcare services using the capitated health model as a prerequisite for promoting positive healthcare outcomes for a country's population. However, capitated members have continued to face challenges in accessing primary healthcare services despite enrolment in the National Health Insurance Fund (NHIF). This study sought to determine if variables such as patient knowledge of the NHIF benefit package, NHIF Premium Payment processes, selecting NHIF capitated health facilities, and NHIF Communication to citizens' influences access to primary healthcare services.

METHOD

A cross-sectional analytical research design was adopted. Data was collected from patients who were using NHIF cards, who were drawn from health facilities. Data was collected using a structured questionnaire where some of the questions were rated using the Likert scale to enable the generation of descriptive statistics. Data was analysed using descriptive and inferential statistics. Logistic regression was conducted to determine the relationship between the independent and the dependent variables.

RESULTS

The study found that four independent variables (Patient knowledge of NHIF Benefit Package, NHIF Premium Payment processes, Selecting NHIF capitated Health Facility, and NHIF Communication to citizens) were significant predictors of access to capitated healthcare services with significance values of .001, .001, .001 and .001 respectively at 95% significance level.

CONCLUSIONS

The study found that familiarity with the NHIF benefit package significantly influenced NHIF capitated members' access to primary healthcare services in Uasin Gishu County. While most members were aware of their healthcare entitlements, there's a need for increased awareness regarding access to surgical services and dependents' inclusion. Facility selection also played a crucial role, influenced by factors like freedom of choice, NHIF facility selection rules, facility appearance, and proximity to members' homes. NHIF communication positively impacted access, with effective communication channels aiding service accessibility. Premium payment processes also significantly linked with service access, influenced by factors such as payment procedures, premium awareness, payment schedules, registration waiting periods, and penalties for defaults. Overall, patient knowledge, NHIF communication, premium payment processes, and facility selection all contributed positively to NHIF capitated members' access to primary healthcare services in Uasin Gishu County.

The Economic Costs of Tobacco Related Illnesses in Kenya

Objective

To estimate the economic costs of selected tobacco-related illnesses (TRI) in Kenya in 2022.

Research Design and Methods

This study was conducted in 2 phases. Phase 1, conducted between 2021 and 2022, entailed conducting a cross-sectional study conducted in 4 national public referral hospitals in Kenya. Patients with cardiovascular disease, cancer, chronic obstructive pulmonary disease, or tuberculosis were interviewed to compute the indirect and direct medical costs related to the illness. Activity-Based Costing approach was used to capture costs for services along the continuum of care pathway. In the second phase, the Tobacco Attributable Factor was used to estimate the direct, indirect, and ultimately economic cost due to tobacco smoking.

Results

The estimated health care cost attributed to tobacco use in Kenya is US$396,107,364. Among TRIs included in the study, myocardial infarction had the highest health care cost at US$158,687,627, followed by peripheral arterial disease and stroke with health care cost of US$64,723,181 and US$44,746,700 respectively. The main cost driver across all the illnesses is the cost for medication accounting for over 90% of the total health care cost. The productivity losses from the diseases ranged between US$148 to US$360 and accounted for 27% to 48% of the economic costs. The total cost attributable to tobacco use to Kenya's economy for the selected TRIs was between US$544.74 million and US$756.22 million.

Conclusions/interpretation

Tobacco related illnesses impose a significant economic burden as reported for direct and indirect costs. These findings underscore the need for strengthened implementation of the provision of the Framework Convention on Tobacco Control and the Tobacco Control Act (2007) to facilitate a reduction in tobacco consumption in the population.

Catastrophic out-of-pocket payments related to non-communicable disease multimorbidity and associated factors, evidence from a public referral hospital in Addis Ababa Ethiopia

BACKGROUND

In low and middle-income countries (LMICs), non-communicable diseases (NCDs) are on the rise and have become a significant cause of mortality. Unfortunately, accessing affordable healthcare services can prove to be challenging for individuals who are unable to bear the expenses out of their pockets. For NCDs, the treatment costs are already high, and being multimorbid further amplifies the economic burden on patients and their families. The present study seeks to bridge the gap in knowledge regarding the financial risks that come with NCD multimorbidity. It accomplishes this by examining the catastrophic out-of-pocket (OOP) expenditure levels and the factors that contribute to it at Tikur Anbesa Specialized Hospital, Addis Ababa, Ethiopia.

METHODS

A facility-based cross-sectional study was conducted at Tikur Anbesa Specialized Hospital between May 18 and July 22, 2020 and 392 multimorbid patients participated. The study participants were selected from the hospital's four NCD clinics using systematic random sampling. Patients' direct medical and non-medical out-of-pocket (OOP) expenditures were recorded, and the catastrophic OOP health expenditure for NCD care was estimated using various thresholds as cutoff points (5%, 10%, 15%, 20%, 25%, and 40% of both total household consumption expenditure and non-food expenditure). The collected data was entered into Epi Data version 3.1 and analyzed using STATA V 14. Descriptive statistics were utilized to present the study's findings, while logistic regression was used to examine the associations between variables.

RESULTS

A study was conducted on a sample of 392 patients who exhibited a range of socio-demographic and economic backgrounds. The annual out-of-pocket spending for the treatment of non-communicable disease multimorbidity was found to be $499.7 (95% CI: $440.9, $558.6) per patient. The majority of these expenses were allocated towards medical costs such as medication, diagnosis, and hospital beds. It was found that as the threshold for spending increased from 5 to 40% of total household consumption expenditure, the percentage of households facing catastrophic health expenditures (CHE) decreased from 77.55 to 10.46%. Similarly, the proportion of CHE as a percentage of non-food household expenditure decreased from 91.84 to 28.32% as the threshold increased from 5 to 40%. The study also revealed that patients who traveled to Addis Ababa for healthcare services (AOR = 7.45, 95% CI: 3.41-16.27), who were not enrolled in an insurance scheme (AOR = 4.97, 95% CI: 2.37, 10.4), who had more non-communicable diseases (AOR = 2.05, 95% CI: 1.40, 3.01), or who had more outpatient visits (AOR = 1.46, 95%CI: 1.31, 1.63) had a higher likelihood of incurring catastrophic out-of-pocket health expenditures at the 40% threshold.

CONCLUSION AND RECOMMENDATION

This study has revealed that patients with multiple non-communicable diseases (NCDs) frequently face substantial out-of-pocket health expenditures (CHE) due to both medical and non-medical costs. Various factors, including absence from an insurance scheme, medical follow-ups necessitating travel to Addis Ababa, multiple NCDs and outpatient visits, and utilization of both public and private facilities, increase the likelihood of incurring CHE. To mitigate the incidence of CHE for individuals with NCD multimorbidity, an integrated NCD care service delivery approach, access to affordable medications and diagnostic services in public facilities, expanded insurance coverage, and fee waiver or service exemption systems should be explored.

Examining inequalities in spatial access to national health insurance fund contracted facilities in Kenya

BACKGROUND

Kenya aims to achieve universal health coverage (UHC) by 2030 and has selected the National Health Insurance Fund (NHIF) as the 'vehicle' to drive the UHC agenda. While there is some progress in moving the country towards UHC, the availability and accessibility to NHIF-contracted facilities may be a barrier to equitable access to care. We estimated the spatial access to NHIF-contracted facilities in Kenya to provide information to advance the UHC agenda in Kenya.

METHODS

We merged NHIF-contracted facility data to the geocoded inventory of health facilities in Kenya to assign facility geospatial locations. We combined this database with covariates data including road network, elevation, land use, and travel barriers. We estimated the proportion of the population living within 60- and 120-minute travel time to an NHIF-contracted facility at a 1-x1-kilometer spatial resolution nationally and at county levels using the WHO AccessMod tool.

RESULTS

We included a total of 3,858 NHIF-contracted facilities. Nationally, 81.4% and 89.6% of the population lived within 60- and 120-minute travel time to an NHIF-contracted facility respectively. At the county level, the proportion of the population living within 1-hour of travel time to an NHIF-contracted facility ranged from as low as 28.1% in Wajir county to 100% in Nyamira and Kisii counties. Overall, only four counties (Kiambu, Kisii, Nairobi and Nyamira) had met the target of having 100% of their population living within 1-hour (60 min) travel time to an NHIF-contracted facility. On average, it takes 209, 210 and 216 min to travel to an NHIF-contracted facility, outpatient and inpatient facilities respectively. At the county level, travel time to an NHIF-contracted facility ranged from 10 min in Vihiga County to 333 min in Garissa.

CONCLUSION

Our study offers evidence of the spatial access estimates to NHIF-contracted facilities in Kenya that can inform contracting decisions by the social health insurer, especially focussing on marginalised counties where more facilities need to be contracted. Besides, this evidence will be crucial as the country gears towards accelerating progress towards achieving UHC using social health insurance as the strategy to drive the UHC agenda in Kenya.

Do hospitalizations push households into poverty in India: evidence from national data

Introduction

High percentage of OOP (Out-of-Pocket) costs can lead to poverty and exacerbate existing poverty, with 21.9% of India's 1.324 billion people living below the poverty line. Factors such as increased patient cost-sharing, high-deductible health plans, and expensive medications contribute to high OOP costs. Understanding the poverty-inducing impact of healthcare payments is essential for formulating effective measures to alleviate it.

Methods

The study used data from the 75th round of the National Sample Survey Organization (Household Social Consumption in India: Health) from July 2017-June 2018, focusing on demographic-socio-economic characteristics, morbidity status, healthcare utilization, and expenditure. The analysis included 66,237 hospitalized individuals in the last 365 days. Logistic regression model was used to examine the impact of OOP expenditures on impoverishment.

Results

Logistic regression analysis shows that there is 0.2868 lower odds of experiencing poverty due to OOP expenditures in households where there is the presence of at least one child aged 5 years and less present in the household compared to households who do not have any children. There is 0.601 higher odds of experiencing poverty due to OOP expenditures in urban areas compared to households in rural areas. With an increasing duration of stay in the hospital, there is a higher odds of experiencing poverty due to OOP health expenditures. There is 1.9013 higher odds of experiencing poverty due to OOP expenditures if at least one member in the household used private healthcare facility compared to households who never used private healthcare facilities.

Conclusion

In order to transfer demand from private to public hospitals and reduce OOPHE, policymakers should restructure the current inefficient public hospitals. More crucially, there needs to be significant investment in rural areas, where more than 70% of the poorest people reside and who are more vulnerable to OOP expenditures because they lack coping skills.

The costs and financing needs of delivering Kenya's primary health care service package

Introduction

For many Kenyans, high-quality primary health care (PHC) services remain unavailable, inaccessible, or unaffordable. To address these challenges, the Government of Kenya has committed to strengthening the country's PHC system by introducing a comprehensive package of PHC services and promoting the efficient use of existing resources through its primary care network approach. Our study estimated the costs of delivering PHC services in public sector facilities in seven sub-counties, comparing actual costs to normative costs of delivering Kenya's PHC package and determining the corresponding financial resource gap to achieving universal coverage.

Methods

We collected primary data from a sample of 71 facilities, including dispensaries, health centers, and sub-county hospitals. Data on facility-level recurrent costs were collected retrospectively for 1 year (2018-2019) to estimate economic costs from the public sector perspective. Total actual costs from the sampled facilities were extrapolated using service utilization data from the Kenya Health Information System for the universe of facilities to obtain sub-county and national PHC cost estimates. Normative costs were estimated based on standard treatment protocols and the populations in need of PHC in each sub-county.

Results and discussion

The average actual PHC cost per capita ranged from US$ 9.3 in Ganze sub-county to US$ 47.2 in Mukurweini while the normative cost per capita ranged from US$ 31.8 in Ganze to US$ 42.4 in Kibwezi West. With the exception of Mukurweini (where there was no financial resource gap), closing the resource gap would require significant increases in PHC expenditures and/or improvements to increase the efficiency of PHC service delivery such as improved staff distribution, increased demand for services and patient loads per clinical staff, and reduced bypass to higher level facilities. This study offers valuable evidence on sub-national cost variations and resource requirements to guide the implementation of the government's PHC reforms and resource mobilization efforts.

Financing health system elements in Africa: A scoping review

Countries that are reforming their health systems to progress towards Universal Health Coverage (UHC) need to consider total resource requirements over the long term to plan for the implementation and sustainable financing of UHC. However, there is a lack of detailed conceptualization as to how the current health financing mechanisms interplay across health system elements. Thus, we aimed to generate evidence on how to utilize resources from different sources of funds in Africa. We conducted a scoping review of empirical research following the six-stage methodological framework for Scoping Review by Arksey & O'Malley and Levac, Colquhoun & O'Brien. We searched for published and grey literature in Medline, Cochrane Library, PubMed, WHO database, World bank and Google Scholar search engines databases and summarized data using a narrative approach, involving thematic syntheses and descriptive statistics. We included 156 studies out of 1,168 studies among which 13% were conceptual studies while 87% were empirical studies. These selected studies focused on the financing of the 13 health system elements. About 45% focused on service delivery, 13% on human resources, 5% on medical products, and 3% on infrastructure and governance. Studies reporting multiple health system elements were 8%, while health financing assessment frameworks was 23%. The publication years ranged from 1975 to 2021. While public sources were the most dominant form of financing, global documentation of health expenditure does not track funding on all the health system dimensions that informed the conceptual framework of this scoping review. There is a need to advocate for expenditure tracking for health systems, including intangibles. Further analysis would inform the development of a framework for assessing financing sources for health system elements based on efficiency, feasibility, sustainability, equity, and displacement.

Incidence of catastrophic health spending in Indonesia: insights from a Household Panel Study 2018-2019

BACKGROUND

Indonesia implemented one of the world's largest single-payer national health insurance schemes (the Jaminan Kesehatan Nasional or JKN) in 2014. This study aims to assess the incidence of catastrophic health spending (CHS) and its determinants and trends between 2018 and 2019 by which time JKN enrolment coverage exceeded 80%.

METHODS

This study analysed data collected from a two-round cross-sectional household survey conducted in ten provinces of Indonesia in February-April 2018 and August-October 2019. The incidence of CHS was defined as the proportion of households with out-of-pocket (OOP) health spending exceeding 10% of household consumption expenditure. Chi-squared tests were used to compare the incidences of CHS across subgroups for each household characteristic. Logistic regression models were used to investigate factors associated with incurring CHS and the trend over time. Sensitivity analyses assessing the incidence of CHS based on a higher threshold of 25% of total household expenditure were conducted.

RESULTS

The overall incidence of CHS at the 10% threshold fell from 7.9% to 2018 to 4.4% in 2019. The logistic regression models showed that households with JKN membership experienced significantly lower incidence of CHS compared to households without insurance coverage in both years. The poorest households were more likely to incur CHS compared to households in other wealth quintiles. Other predictors of incurring CHS included living in rural areas and visiting private health facilities.

CONCLUSIONS

This study demonstrated that the overall incidence of CHS decreased in Indonesia between 2018 and 2019. OOP payments for health care and the risk of CHS still loom high among JKN members and among the lowest income households. More needs to be done to further contain OOP payments and further research is needed to investigate whether CHS pushes households below the poverty line.

Catastrophic health care spending in managing type 2 diabetes before and during the COVID-19 pandemic in Tanzania

COVID-19 disrupted health care provision and access and reduced household income. Households with chronically ill patients are more vulnerable to these effects as they access routine health care. Yet, a few studies have analysed the effect of COVID-19 on household income, health care access costs, and financial catastrophe due to health care among patients with type 2 diabetes (T2D), especially in developing countries. This study fills that knowledge gap. We used data from a cross-sectional survey of 500 people with T2D, who were adults diagnosed with T2D before COVID-19 in Tanzania (March 2020). Data were collected in February 2022, reflecting the experience before and during COVID-19. During COVID-19, household income decreased on average by 16.6%, while health care costs decreased by 0.8% and transport costs increased by 10.6%. The overall financing burden for health care and transport relative to household income increased by 32.1% and 45%, respectively. The incidences of catastrophic spending above 10% of household income increased by 10% (due to health care costs) and by 55% (due to transport costs). The incidences of catastrophic spending due to health care costs were higher than transport costs, but the relative increase was higher for transport than health care costs (10% vs. 55% change from pre-COVID-19). The likelihood of incurring catastrophic health spending was lower among better educated patients, with health insurance, and from better-off households. COVID-19 was associated with reduced household income, increased transport costs, increased financing burden and financial catastrophe among patients with T2D in Tanzania. Policymakers need to ensure financial risk protection by expanding health insurance coverage and removing user fees, particularly for people with chronic illnesses. Efforts are also needed to reduce transport costs by investing more in primary health facilities to offer quality services closer to the population and engaging multiple sectors, including infrastructure and transportation.

Community engagement to inform development of strategies to improve referral for hypertension: perspectives of patients, providers and local community members in western Kenya

BACKGROUND

Hypertension is the leading cause of death and disability. Clinical care for patients with hypertension in Kenya leverages referral networks to provide basic and specialized healthcare services. However, referrals are characterized by non-adherence and delays in completion. An integrated health information technology (HIT) and peer-based support strategy to improve adherence to referrals and blood pressure control was proposed. A formative assessment gathered perspectives on barriers to referral completion and garnered thoughts on the proposed intervention.

METHODS

We conducted a qualitative study in Kitale, Webuye, Kocholya, Turbo, Mosoriot and Burnt Forest areas of Western Kenya. We utilized the PRECEDE-PROCEED framework to understand the behavioral, environmental and ecological factors that would influence uptake and success of our intervention. We conducted four mabaraza (customary heterogenous community assemblies), eighteen key informant interviews, and twelve focus group discussions among clinicians, patients and community members. The data obtained was audio recorded alongside field note taking. Audio recordings were transcribed and translated for onward coding and thematic analysis using NVivo 12.

RESULTS

Specific supply-side and demand-side barriers influenced completion of referral for hypertension. Key demand-side barriers included lack of money for care and inadequate referral knowledge. On the supply-side, long distance to health facilities, low availability of services, unaffordable services, and poor referral management were reported. All participants felt that the proposed strategies could improve delivery of care and expressed much enthusiasm for them. Participants appreciated benefits of the peer component, saying it would motivate positive patient behavior, and provide health education, psychosocial support, and assistance in navigating care. The HIT component was seen as reducing paper work, easing communication between providers, and facilitating tracking of patient information. Participants also shared concerns that could influence implementation of the two strategies including consent, confidentiality, and reduction in patient-provider interaction.

CONCLUSIONS

Appreciation of local realities and patients' experiences is critical to development and implementation of sustainable strategies to improve effectiveness of hypertension referral networks. Incorporating concerns from patients, health care workers, and local leaders facilitates adaptation of interventions to respond to real needs. This approach is ethical and also allows research teams to harness benefits of participatory community-involved research.

TRIAL REGISTRATION

Clinicaltrials.gov, NCT03543787, Registered June 1, 2018. https://clinicaltrials.gov/ct2/show/NCT03543787.

Catastrophic health expenditure of households with hypertension: a comparative study in China

Objectives

The aim of this study was to understand the impact of multimorbidity on catastrophic health expenditures for people with hypertension.

Methods

Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS) in 2018, 8,342 adults were included in our analysis. Propensity score matching method was used to compare the risk of catastrophic health expenditures between the hypertension patients (treatment group) and those without any chronic disease (control group) in middle-aged and older adults. Patients with hypertension were also divided into two groups: only hypertension and multimorbidity.

Results

Hypertension increased the likelihood of CHE by 11.3% in older adults. Further analysis showed that hypertension alone does not increase the risk of CHE, and the risk of CHE in hypertension patients with multimorbidity was 12.9% higher than those without chronic disease.

Conclusion

Our study highlights the importance of healthy management of patients with only hypertension and preventing them from developing multimorbidity.

Evaluating the effectiveness of the National Health Insurance Fund in providing financial protection to households with hypertension and diabetes patients in Kenya

BACKGROUND

Non-communicable diseases (NCDs) can impose a substantial financial burden to households in the absence of an effective financial risk protection mechanism. The national health insurance fund (NHIF) has included NCD services in its national scheme. We evaluated the effectiveness of NHIF in providing financial risk protection to households with persons living with hypertension and/or diabetes in Kenya.

METHODS

We carried out a prospective cohort study, following 888 households with at least one individual living with hypertension and/or diabetes for 12 months. The exposure arm comprised households that are enrolled in the NHIF national scheme, while the control arm comprised households that were not enrolled in the NHIF. Study participants were drawn from two counties in Kenya. We used the incidence of catastrophic health expenditure (CHE) as the outcome of interest. We used coarsened exact matching and a conditional logistic regression model to analyse the odds of CHE among households enrolled in the NHIF compared with unenrolled households. Socioeconomic inequality in CHE was examined using concentration curves and indices.

RESULTS

We found strong evidence that NHIF-enrolled households spent a lower share (12.4%) of their household budget on healthcare compared with unenrolled households (23.2%) (p = 0.004). While households that were enrolled in NHIF were less likely to incur CHE, we did not find strong evidence that they are better protected from CHE compared with households without NHIF (OR = 0.67; p = 0.47). The concentration index (CI) for CHE showed a pro-poor distribution (CI: -0.190, p < 0.001). Almost half (46.9%) of households reported active NHIF enrolment at baseline but this reduced to 10.9% after one year, indicating an NHIF attrition rate of 76.7%. The depth of NHIF cover (i.e., the share of out-of-pocket healthcare costs paid by NHIF) among households with active NHIF was 29.6%.

CONCLUSION

We did not find strong evidence that the NHIF national scheme is effective in providing financial risk protection to households with individuals living with hypertension and/diabetes in Kenya. This could partly be explained by the low depth of cover of the NHIF national scheme, and the high attrition rate. To enhance NHIF effectiveness, there is a need to revise the NHIF benefit package to include essential hypertension and/diabetes services, review existing provider payment mechanisms to explicitly reimburse these services, and extend the existing insurance subsidy programme to include individuals in the informal labour market.

The financial burden of out of pocket payments on medicines among households in Ethiopia: analysis of trends and contributing factors

BACKGROUND

In Ethiopia, out-of-pocket (OOP) payment is the key means of healthcare financing, and expenses on medicines are a crucial component of such payment. This study aims to investigate the financial implications of OOP payments on medicines for Ethiopian households.

METHODS

The study involved a secondary data analysis of the national household consumption and expenditure surveys of 2010/11 and 2015/16. The "capacity-to-pay" method was used to calculate catastrophic OOP medicine expenditures. The extent of economic status related to catastrophic medicine payment inequity was calculated using concentration index estimation. The impoverishment consequences of OOP payment on medicine were estimated using poverty headcount and poverty gap analysis methods. Logistic regression models were used to identify the variables that predict catastrophic medicine payments.

RESULTS

Medicines accounted for the majority of healthcare spending (> 65%) across the surveys. From 2010 to 2016, the total percentage of households facing catastrophic medicine payments decreased from 1% to 0.73%. However, the actual number of people expected to have experienced catastrophic medicine payments increased from 399,174 to 401,519 people. Payment for medicines pushed 11,132 households into poverty in 2015/16. The majority of disparities were explained by economic status, place of residence, and type of health services.

CONCLUSION

OOP payment on medicine accounted for the majority of total health expenses in Ethiopia. A high medicine OOP payment continued to push households into catastrophic payments and impoverishment. Household seeking inpatient care, those with lower economic status and urban residents were among the most affected. Hence, innovative approaches to improve the supply of medicines in public facilities especially those in urban settings and risk protection mechanisms for medicine expenditures particularly for inpatient care are recommended.

Assessing progress towards universal health coverage in Cambodia: Evidence using survey data from 2009 to 2019

Over the past decades, many low- and middle-income countries have implemented health financing and system reforms to progress towards universal health coverage (UHC). In the case of Cambodia, out-of-pocket expenditure (OOPE) remains the main source of current health expenditure after several decades of reform, exposing households to financial risks when accessing healthcare and violating UHC's key tenet of financial protection. We use pre-pandemic data from the nationally representative Cambodia Socio-Economic Surveys of 2009 to 2019 to assess progress in financial protection to evaluate the reforms and obtain internationally comparable estimates. We find that following strong improvements in financial protection between 2009 and 2017, there was a reversal in the trend thereafter. The OOPE budget share rose, and the incidence of catastrophic spending and impoverishment increased in nearly all geographical and socioeconomic strata. For example, 17.7% of households experienced catastrophic health expenditure in 2019 at the threshold of 10% of total household consumption expenditure, and 3.9% of households were pushed into poverty by OOPE. The distribution of all financial protection indicators varied strongly across socioeconomic and geographical strata in all years. Fundamentally, the demonstrated trend reversal may jeopardize Cambodia's ability to progress towards UHC. To improve financial protection in the short term, there is a need to address the burden created by OOPE through targeted interventions to household groups that are most affected. In the medium term, our findings emphasize the importance of expanding health pre-payment schemes to currently uncovered vulnerable groups, specifically the near-poor. The government also needs to consider extending the scope of services covered and the range of providers to include the private sector under these schemes to reduce reliance on OOPE.

Examining need and capacity for the development of a pediatric liver transplantation program in Kenya

BACKGROUND

In Africa, pediatric liver transplantation (PLT) is currently only performed in Egypt and South Africa, leaving those who require treatment in Kenya to travel abroad. The aim of this study was to determine whether sufficient capacity and need exists in Kenya to establish a safe and sustainable PLT program.

METHODS

A descriptive analysis of the intensive care unit (ICU) beds, surgical workforce, current hepatobiliary volume, and estimated prevalence of pediatric liver disease (PLD) was conducted across 17 hospitals in Kenya between July and September 2020. Data were collected from medical superintendents, directors of surgical departments, or nominated proxies at Kenyan Level 5 and 6 hospitals via a web-based survey.

RESULTS

A total of 165 ICU beds were reported at 17 facilities, with 15 facilities reporting five or more beds. About 39% of general surgeons at responding hospitals performed hepatobiliary procedures, and 30% performed pediatric surgeries. Only 10% of surgeons had pediatric training. Over half (57%) of hospitals performed hepatobiliary procedures; at the maximum, 1-5 cases were performed per week including cholecystectomy to Kasai portoenterostomy and hepatectomy. Across 13 hospitals, there were an estimated 192-570 cases of PLD seen per month. The most common PLDs were hepatitis B, neonatal hepatitis, cirrhosis, and acute hepatic failure. Overall, two hospitals possessed the minimum workforce and resources to attempt PLT.

CONCLUSIONS

In Kenya, ICU bed availability, pediatric surgical training, and hepatobiliary volume are limited. However, the high prevalence of PLD demonstrated a significant need for PLT across all Kenyan hospitals.

"It is like an umbrella covering you, yet it does not protect you from the rain": a mixed methods study of insurance affordability, coverage, and financial protection in rural western Kenya

Countries in Sub-Saharan Africa are increasingly adopting mandatory social health insurance programs. In Kenya, mandatory social health insurance is being implemented through the national health insurer, the National Hospital Insurance Fund (NHIF), but the level of coverage, affordability and financial risk protection provided by health insurance, especially for rural informal households, is unclear. This study provides as assessment of affordability of NHIF premiums, the need for financial risk protection, and the extent of financial protection provided by NHIF among rural informal workers in western Kenya.Methods We conducted a mixed methods study with a cross-sectional household survey (n = 1773), in-depth household interviews (n = 36), and 6 focus group discussions (FGDs) with community stakeholders in rural western Kenya. Health insurance status was self-reported and households were categorized into insured and uninsured. Using survey data, we calculated the affordability of health insurance (unaffordability was defined as the monthly premium being > 5% of total household expenditures), out of pocket expenditures (OOP) on healthcare and its impact on impoverishment, and incidence of catastrophic health expenditures (CHE). Logistic regression was used to assess household characteristics associated with CHE.Results Only 12% of households reported having health insurance and was unaffordable for the majority of households, both insured (60%) and uninsured (80%). Rural households spent an average of 12% of their household budget on OOP, with both insured and uninsured households reporting high OOP spending and similar levels of impoverishment due to OOP. Overall, 12% of households experienced CHE, with uninsured households more likely to experience CHE. Participants expressed concerns about value of health insurance given its cost, availability and quality of services, and financial protection relative to other social and economic household needs. Households resulted to borrowing, fundraising, taking short term loans and selling family assets to meet healthcare costs.Conclusion Health insurance coverage was low among rural informal sector households in western Kenya, with health insurance premiums being unaffordable to most households. Even among insured households, we found high levels of OOP and CHE. Our results suggest that significant reforms of NHIF and health system are required to provide adequate health services and financial risk protection for rural informal households in Kenya.

Financial Toxicity Among Patients With Breast Cancer Worldwide: A Systematic Review and Meta-analysis

Importance

Financial toxicity (FT) is the negative impact of cost of care on financial well-being. Patients with breast cancer are at risk for incurring high out-of-pocket costs given the long-term need for multidisciplinary care and expensive treatments.

Objective

To quantify the FT rate of patients with breast cancer and identify particularly vulnerable patient populations nationally and internationally.

Data Sources

A systematic review and meta-analysis were conducted. Four databases-Embase, PubMed, Global Index Medicus, and Global Health (EBSCO)-were queried from inception to February 2021. Data analysis was performed from March to December 2022.

Study Selection

A comprehensive database search was performed for full-text, English-language articles reporting FT among patients with breast cancer. Two independent reviewers conducted study screening and selection; 462 articles underwent full-text review.

Data Extraction and Synthesis

A standardized data extraction tool was developed and validated by 2 independent authors; study quality was also assessed. Variables assessed included race, income, insurance status, education status, employment, urban or rural status, and cancer stage and treatment. Pooled estimates of FT rates and their 95% CIs were obtained using the random-effects model.

Main Outcomes and Measures

FT was the primary outcome and was evaluated using quantitative FT measures, including rate of patients experiencing FT, and qualitative FT measures, including patient-reported outcome measures or patient-reported severity and interviews. The rates of patients in high-income, middle-income, and low-income countries who incurred FT according to out-of-pocket cost, income, or patient-reported impact of expenditures during breast cancer diagnosis and treatment were reported as a meta-analysis.

Results

Of the 11 086 articles retrieved, 34 were included in the study. Most studies were from high-income countries (24 studies), and the rest were from low- and middle-income countries (10 studies). The sample size of included studies ranged from 5 to 2445 people. There was significant heterogeneity in the definition of FT. FT rate was pooled from 18 articles. The pooled FT rate was 35.3% (95% CI, 27.3%-44.4%) in high-income countries and 78.8% (95% CI, 60.4%-90.0%) in low- and middle-income countries.

Conclusions and Relevance

Substantial FT is associated with breast cancer treatment worldwide. Although the FT rate was higher in low- and middle-income countries, more than 30% of patients in high-income countries also incurred FT. Policies designed to offset the burden of direct medical and nonmedical costs are required to improve the financial health of vulnerable patients with breast cancer.

Assessment of Strategic Healthcare Purchasing Arrangements and Functions Towards Universal Coverage in Tanzania

BACKGROUND

Strategic health purchasing in low- and middle-income countries has received substantial attention as countries aim to achieve universal health coverage (UHC), by ensuring equitable access to quality health services without the risk of financial hardship. There is little evidence published from Tanzania on purchasing arrangements and what is required for strategic purchasing. This study analyses three purchasing arrangements in Tanzania and gives recommendations to strengthen strategic purchasing in Tanzania.

METHODS

We used the multi-case qualitative study drawing on the National Health Insurance Fund (NHIF), Social Health Insurance Benefit (SHIB), and improved Community Health Fund (iCHF) to explore the three purchasing arrangements with a purchaser-provider split. Data were drawn from document reviews and results were validated with nine key informant (KI) interviews with a range of actors involved in strategic purchasing. A deductive and inductive approach was used to develop the themes and framework analysis to summarize the data.

RESULTS

The findings show that benefit selection for all three schemes was based on the standard treatment guidelines issued by the Ministry of Health. Selection-contracting of the private healthcare providers are based on the location of the provider, the range of services available as stipulated in the scheme guideline, and the willingness of the provider to be contracted. NHF uses fee-for-service to reimburse providers. While SHIB and iCHF use capitation. NHIF has an electronic system to monitor registration, verification, claims processing, and referrals. While SHIB monitoring is done through routine supportive supervision and for the iCHF provider performance is monitored through utilization rates.

CONCLUSION

Enforcing compliance with the contractual agreement between providers-purchasers is crucial for the provision of quality services in an efficient manner. Investment in a routine monitoring system, such as the use of the district health information system which allows effective tracking of healthcare service delivery, and broader population healthcare outcomes.

Catastrophic health care expenditure and impoverishment in Bhutan

Monitoring financial hardship due to out-of-pocket spending on health care is a critical determinant of progress towards universal health coverage. This study investigates the occurrence, intensity and determinants of catastrophic health expenditure and impoverishment in Bhutan using three rounds of the cross-sectional Bhutan Living Standard Surveys carried out in 2007, 2012 and 2017. We use a composite financial hardship measure defined as households experiencing either catastrophic health expenditure or impoverished/further impoverished due to health spending or both. We calculated concentration indices to examine socio-economic inequalities. We used logistic regression to examine the factors associated with financial hardship. We find that, in the context of a significant increase in living standards, there is a sharp increase in the incidence of catastrophic health expenditure (using 40% of capacity to pay) and impoverishment (based on equivalized average food-share-based poverty line) between 2007 and 2017. In 2017, catastrophic health expenditure was estimated at 0.51%, impoverishment at 0.32% and further impoverishment at 1.93% of the population, cumulating to financial hardship affecting 2.55% of the population. Financial hardship particularly burdened rural dwellers and poorer households. Transportation costs almost doubled the risk of facing financial hardship. Households that were poor, had an unemployed head, were larger and had more elderly members had higher odds of financial hardship. This evidence should prompt policy and programmatic interventions to support Bhutan's progress towards universal health coverage.

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.

Toward mandatory health insurance in low-income countries? An analysis of claims data in Tanzania

Many low-income countries are in the process of scaling up health insurance with the goal of achieving universal coverage. However, little is known about the usage and financial sustainability of mandatory health insurance. This study analyzes 26 million claims submitted to the Tanzanian National Health Insurance Fund (NHIF), which covers two million public servants for whom public insurance is mandatory, to understand insurance usage patterns, cost drivers, and financial sustainability. We find that in 2016, half of policyholders used a health service within a single year, with an average annual cost of 33 US$ per policyholder. About 10% of the population was responsible for 80% of the health costs, and women, middle-age and middle-income groups had the highest costs. Out of 7390 health centers, only five health centers are responsible for 30% of total costs. Estimating the expected health expenditures for the entire population based on the NHIF cost structure, we find that for a sustainable national scale-up, policy makers will have to decide between reducing the health benefit package or increasing revenues. We also show that the cost structure of a mandatory insurance scheme in a low-income country differs substantially from high-income settings. Replication studies for other countries are warranted.

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

OBJECTIVES

The 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/SETTING

A cross-sectional study with the four waves of data from 2014, 2016, 2018 and 2020 Vietnam household living standards surveys was used.

PARTICIPANTS

The number of participants in this study were 1658, 1661, 1659 and 1662 households in 2014, 2016, 2018 and 2020, respectively. We included households residing in the Northern midlands and mountain areas of Vietnam.

OUTCOMES MEASURE

We examined out-of-pocket health payments and capacity to pay by income groups and place of residence, the incidence of CHE and impoverishment. A logistic regression model was used to examine the influence of demographic and socioeconomic characteristics on CHE.

RESULTS

The findings showed a remarkable decrease in CHE between 2014 and 2016, followed by a considerable increase between 2016 and 2018. The CHE rates in the region were between 3.5% and 5%, with the highest value observed in 2014. In addition, the differences in household CHE rates according to income and place of residence were observed. The results also indicated that medical impoverishment ranged between 3.4% and 3.9%. Overall, factors such as the burden of disease, rural settlements, increasing use of healthcare services, visiting private health facilities and having an old-aged person in the household were significantly and positively associated with CHE. By contrast, households that were wealthier, participated in health insurance, had a household head employed and female-headed households, were negatively associated with CHE.

CONCLUSIONS

The findings provide useful information that can guide policy-makers to design policies, and interventions necessary to reduce CHE in the region, narrow the gap between the rich and the poor, the rural and urban settlements, and ensure universal health coverage.

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.

The microeconomic impact of out-of-pocket medical expenditure on the households of cardiovascular disease patients in general and specialized heart hospitals in Ibadan, Nigeria

Background

Cardiovascular diseases (CVDs) present a huge threat to population health and in addition impose severe economic burden on individuals and their households. Despite this, there is no research evidence on the microeconomic impact of CVDs in Nigeria. Therefore, this study estimated the incidence and intensity of catastrophic health expenditures (CHE), poverty headcount due to out-of-pocket (OOP) medical spending and the associated factors among the households of a cohort of CVDs patients who accessed healthcare services in public and specialized heart hospitals in Ibadan, Nigeria.

Methods

This study adopts a descriptive cross-sectional study design. A standardized data collection questionnaire developed by the Initiative for Cardiovascular Health Research in Developing Countries was adapted to electronically collect data from all the 744 CVDs patients who accessed healthcare services in public and specialized heart hospitals in Ibadan between 4th November 2019 to the 31st January 2020. A sensitivity analysis, using rank-dependent thresholds of CHE which ranged from 5%-40% of household total expenditures was carried out. The international poverty line of $1.90/day recommended by the World Bank was utilized to ascertain poverty headcounts pre-and post OOP payments for healthcare services. Categorical variables like household socio-demographic and clinical characteristics, CHE and poverty headcounts, were presented using percentages and proportions. Unadjusted and adjusted logistic regression models were used to assess the factors associated with CHE and poverty. Data were analyzed using STATA version 15 and estimates were validated at 5% level of significance.

Results

Catastrophic OOP payment ranged between 3.9%-54.6% and catastrophic overshoot ranged from 1.8% to 12.6%. Health expenditures doubled poverty headcount among households, from 8.13% to 16.4%. Having tertiary education (AOR: 0.49, CI: 0.26–0.93, p = 0.03) and household size (AOR: 0.40, CI: 0.24–0.67, p = 0.001) were significantly associated with CHE. Being female (AOR: 0.41, CI: 0.18–0.92, p = 0.03), household economic status (AOR: 0.003, CI: 0.0003–0.25, p = <0.001) and having 3–4 household members (AOR: 0.30, CI: 0.15–0.61, p = 0.001) were significantly associated with household poverty status post payment for medical services.

Conclusion

OOP medical spending due to CVDs imposed enormous strain on household resources and increased the poverty rates among households. Policies and interventions that supports universal health coverage are highly recommended.

An equity analysis on the household costs of accessing and utilising maternal and child health care services in Tanzania

BACKGROUND

Direct and time costs of accessing and using health care may limit health care access, affect welfare loss, and lead to catastrophic spending especially among poorest households. To date, limited attention has been given to time and transport costs and how these costs are distributed across patients, facility and service types especially in poor settings. We aimed to fill this knowledge gap.

METHODS

We used data from 1407 patients in 150 facilities in Tanzania. Data were collected in January 2012 through patient exit-interviews. All costs were disaggregated across patients, facility and service types. Data were analysed descriptively by using means, medians and equity measures like equity gap, ratio and concentration index.

RESULTS

71% of patients, especially the poorest and rural patients, accessed care on foot. The average travel time and cost were 30 minutes and 0.41USD respectively. The average waiting time and consultation time were 47 min and 13 min respectively. The average medical cost was 0.23 USD but only18% of patients paid for health care. The poorest and rural patients faced substantial time burden to access health care (travel and waiting) but incurred less transport and medical costs compared to their counterparts. The consultation time was similar across patients. Patients spent more time travelling to public facilities and dispensaries while incurring less transport cost than accessing other facility types, but waiting and consultation time was similar across facility types. Patients paid less amount in public than in private facilities. Postnatal care and vaccination clients spent less waiting and consultation time and paid less medical cost than antenatal care clients.

CONCLUSIONS

Our findings reinforce the need for a greater investment in primary health care to reduce access barriers and cost burdens especially among the worse-offs. Facility's construction and renovation and increased supply of healthcare workers and medical commodities are potential initiatives to consider. Other initiatives may need a multi-sectoral collaboration.

Financial burden associated with attendance at a public hospital emergency department in Johannesburg

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Poverty and inequality are two of the most significant issues affecting people living in Africa

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Catastrophic health care expenditure (CHCE), which is out-of-pocket expenditure on medical care that leads to a severe financial burden for the individual or household, affects 44 million individuals from 150 million households globally

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Various expenses including transport costs, general practitioner fees acquired prior to the EC visit, loans and loss of usual daily income contribute to the financial burden associated with a visit to the EC

Introduction: More than half of South Africans live below the poverty line. Indirect medical costs can contribute significantly to the financial burden of patients seeking medical care. The aim of this study was to determine the expenses incurred by patients and/or their escorts during a visit to the emergency centre (EC).

Methods: Patients and/or their escorts presenting to an EC in Johannesburg were asked to complete the study questionnaire relating to expenses incurred during a visit to the EC.

Results: Of the total 396 participants that completed the questionnaire, 108 (27.2%) did not have any source of income, 146 (36.9%) were the sole breadwinner in their household and 36 (9.1%) belonged to zero-income households. Among those earning ≤R2000 per month, the mean expenses relating to the EC visit was R240 (SD R372), equating to an average of 33.2% of mean monthly income. Transport costs were the most common expense (n=302, 76.3%), while general practitioner (GP) fees incurred prior to the EC visit accounted for the bulk of the expenses (median R450, IQR 350-820). Participants that earned >R2000 per month were significantly more likely to incur GP fees (p =0.012), while those earning ≤R2000 per month were significantly more likely to take a loan to cover EC related expenses (p =0.014).

Conclusion: A visit to the EC can have a substantial financial impact on patients and their accompanying escorts in South Africa. Strategies should be aimed at identifying and assisting those that are in need of financial assistance to cover indirect healthcare costs.

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.

Scaling up the primary health integrated care project for chronic conditions in Kenya: study protocol for an implementation research project

INTRODUCTION

Amid the rising number of people with non-communicable diseases (NCDs), Kenya has invested in strengthening primary care and in efforts to expand existing service delivery platforms to integrate NCD care. One such approach is the AMPATH (Academic Model Providing Access to Healthcare) model in western Kenya, which provides the platform for the Primary Health Integrated Care Project for Chronic Conditions (PIC4C), launched in 2018 to further strengthen primary care services for the prevention and control of hypertension, diabetes, breast and cervical cancer. This study seeks to understand how well PIC4C delivers on its intended aims and to inform and support scale up of the PIC4C model for integrated care for people with NCDs in Kenya.

METHODS AND ANALYSIS

The study is guided by a conceptual framework on implementing, sustaining and spreading innovation in health service delivery. We use a multimethod design combining qualitative and quantitative approaches, involving: (1) in-depth interviews with health workers and decision-makers to explore experiences of delivering PIC4C; (2) a cross-sectional survey of patients with diabetes or hypertension and in-depth interviews to understand how well PIC4C meets patients' needs; (3) a cohort study with an interrupted time series analysis to evaluate the degree to which PIC4C leads to health benefits such as improved management of hypertension or diabetes; and (4) a cohort study of households to examine the extent to which the national hospital insurance chronic care package provides financial risk protection to people with hypertension or diabetes within PIC4C.

ETHICS AND DISSEMINATION

The study has received approvals from Moi University Institutional Research and Ethics Committee (FAN:0003586) and the London School of Hygiene & Tropical Medicine (17940). Workshops with key stakeholders at local, county, national and international levels will ensure early and wide dissemination of our findings to inform scale up of this model of care. We will also publish findings in peer-reviewed journals.

Decomposing socio-economic inequality in catastrophic out-of-pocket health expenditures in Malawi

Reducing health inequalities and inequities is one of the key goals that health systems aspire to achieve as it ensures improvement in health outcomes among all population groups. Addressing the factors contributing to inequality in catastrophic health expenditures is important to reducing inequality in the burden of health expenditures. However, there are limited studies to explain the factors contributing to inequalities in catastrophic health expenditures. The study aimed to measure and decompose socio-economic inequality in catastrophic health into its determinants. Data for the analysis come from the fourth integrated household survey. Data for 12447 households in Malawi were collected from April 2016 to April 2017 by the National Statistical Office. The secondary analysis was conducted from June 2021 to October 2021. Catastrophic health expenditure was estimated as a proportion of households whose out-of-pocket health expenditures as a ratio of non-food consumption expenditures exceeds 40% threshold level. We estimated the magnitude of socio-economic inequality using the Erreygers corrected concentration index and used decomposition analysis to assess the contribution of inequality in each determinant of catastrophic health expenditure to the overall socio-economic inequality. The magnitude of the Erreygers corrected concentration index of catastrophic health expenditure (CI = 0.004) is small and positive which indicates that inequality is concentrated among the better-off. Inequality in catastrophic health expenditure is largely due to inequalities in rural residency (127%), socio-economic status (-40%), household size (14%), presence of a child under five years old (10%) and region of the household (10%). The findings indicate that socio-economic inequality in catastrophic health expenditures is concentrated among the better-off in Malawi. The results imply that policies that aim to reduce inequalities in catastrophic health expenditures should simultaneously address urban-rural and income inequalities.

Prostate Cancer Screening, Diagnostic, Treatment Procedures and Costs in Sub-Saharan Africa: A Situational Analysis

PURPOSE

Prostate cancer mortality is predicted to nearly double by 2040 in Sub-Saharan Africa (SSA). The lack of prostate cancer screening in SSA contributes to late-stage diagnosis, treatment delays, and poor survival among patients. We analyzed the availability and use of prostate cancer screening, diagnostic and treatment guidelines, procedures, and costs in few SSA countries to determine factors for consideration in the development of prostate cancer screening guidelines for SSA.

METHODS

We applied mixed methods approaches to collect data through an electronic survey administered to clinicians (oncologists, urologists, pathologists, nurses, and radiation oncologists) providing prostate cancer screening, diagnosis, and treatment services in multiple sub-Saharan countries.

RESULTS

Inconsistencies in respondents' understanding of the availability and use of prostate cancer screening guidelines in their countries were noted. Prostate Specific Antigen (PSA) and Digital Rectal Examination (DRE) were the most commonly available screening modalities. Available diagnostic procedures included a combination of prostate biopsies, transrectal ultrasonography, and DRE. Our study's data suggest that PSA and DRE exams are available for early diagnosis and screening procedures. Availability of treatment modalities with curative intent and costs for prostate cancer related procedures varied between and within countries.

CONCLUSIONS

PSA and DRE are available for detecting prostate cancer and may detect aggressive cancers early, leading to improved outcomes. However, PSA screening is also associated with overdiagnosis and over-treatment. National prostate cancer policies should consider health systems, evidence-based guidelines, population characteristics and healthcare financing to ensure access to clinically relevant and safe prostate cancer related care.

The burden of catastrophic and impoverishing health expenditure in Armenia: An analysis of Integrated Living Conditions Surveys, 2014-2018

Armenia's health spending is characterized by low public spending and high out-of-pocket expenditure (OOP), which not only poses a financial barrier to accessing healthcare for Armenians but can also impoverish them. We analyzed Armenia's Integrated Living Conditions Surveys 2014-2018 data to assess the incidence and correlates of catastrophic health expenditure (CHE) and impoverishment. Households were considered to have incurred CHE if their annual OOP exceeded 40 percent of the per capita annual household non-food expenditure. We assessed impoverishment using the US$1.90 per person per-day international poverty line and the US$5.50 per person per-day upper-middle-income country poverty line. Logistic regression models were fitted to assess the correlates of CHE and impoverishment. We found that the incidence of CHE peaked in 2017 before declining in 2018. Impoverishment decreased until 2017 before rising in 2018. After adjusting for sociodemographic factors, households were more likely to incur CHE if the household head was older than 34 years, located in urban areas, had at least one disabled member, and had at least one member with hypertension. Households with at least one hypertensive member or who resided in urban areas were more likely to be impoverished due to OOP. Paid employment and high socioeconomic status were protective against both CHE and impoverishment from OOP. This detailed analysis offers a nuanced insight into the trends in Armenia's financial risk protection against catastrophic and impoverishing health expenditures, and the groups predominantly affected. The incidence of CHE and impoverishment in Armenia remains high with a higher incidence among vulnerable groups, including those living with chronic disease, disability, and the unemployed. Armenia should consider different mechanisms such as subsidizing medication and hospitalization costs for the poorest to alleviate the burden of OOP.

Out-of-pocket payments and catastrophic expenditures due to traffic injuries in Ouagadougou, Burkina Faso

OBJECTIVE

To estimate the out-of-pocket expenditures linked to Road Traffic Injuries in Ouagadougou, Burkina Faso, as well as the prevalence of catastrophic expenditures among those out-of-pocket payments, and to identify the socio-economic determinants of catastrophic expenditures due to Road Traffic Injuries.

METHODS

We surveyed every admission at the only trauma unit of Ouagadougou between January and July 2015 at the time of their admission, 7 days and 30 days later. We estimate a total amount of out-of-pocket expenditures paid by each patient. We considered an expense as catastrophic when it represented 10% at least of the annual global consumption of the patient's household. We used linear models to determine if socio-economic characteristics were associated to a greater or smaller ratio between out-of-pocket payment and global annual consumption.

FINDINGS

We surveyed 1323 Road injury victims three times (admission, Days 7 and 30). They paid in average 46,547 FCFA (83.64 US dollars) for their care, which represent a catastrophic expenditure for 19% of them. Less than 5% of the sample was covered by a health insurance scheme. Household economic status is found to be the first determinant of catastrophic health expenditure occurrence, exhibiting a significant and negative on the ratio between road injury expenditures and global consumption.

CONCLUSION

Our findings highlight the importance of developing health insurance schemes to protect poor households from the economic burden of road traffic injuries and improve equity in front of health shocks.

Cost of maternal near miss and potentially life-threatening conditions, Kenya

OBJECTIVE

To estimate the direct costs of treating women with maternal near misses and potentially life-threatening conditions in Kenya and the factors associated with catastrophic health expenditure for these women and their households.

METHODS

As part of a prospective, nationally representative study of all women with near misses during pregnancy and childbirth or within 42 days of delivery or termination of pregnancy, we compared the cost of treating maternal near-miss cases admitted to referral facilities with that of women with potentially life-threatening conditions. We used logistic regression analysis to assess clinical, demographic and household factors associated with catastrophic health expenditure.

FINDINGS

Of 3025 women, 1180 (39.0%) had maternal near misses and 1845 (61.0%) had potentially life-threatening conditions. The median cost of treating maternal near misses was 7135 Kenyan shillings (71 United States dollars, US$) compared with 2690 Kenyan shillings (US$ 27) for potentially life-threatening conditions. Of the women who made out-of-pocket payments, 26.4% (122/462) experienced catastrophic expenditure. The highest median costs for treatment of near misses were in Nairobi and Central region (22 220 Kenyan shillings; US$ 222). Women with ectopic pregnancy complications and pregnancy-related infections had the highest median costs of treatment, at 7800 Kenyan shillings (US$ 78) and 3000 Kenyan shillings (US$ 30), respectively. Pregnancy-related infections, abortion, ectopic pregnancy, and treatment in secondary and tertiary facilities were significantly associated with catastrophic expenditure.

CONCLUSION

The cost of treating maternal near misses is high and leads to catastrophic spending through out-of-pocket payments. Universal health coverage needs to be expanded to guarantee financial protection for vulnerable women.

Rethinking the economic costs of hospitalization for malaria: accounting for the comorbidities of malaria patients in western Kenya

BACKGROUND

Malaria causes significant mortality and morbidity in sub-Saharan Africa, especially among children under five years of age and places a huge economic burden on individuals and health systems. While this burden has been assessed previously, few studies have explored how malaria comorbidities affect inpatient costs. This study in a malaria endemic area in Western Kenya, assessed the total treatment costs per malaria episode including comorbidities in children and adults.

METHODS

Total economic costs of malaria hospitalizations were calculated from a health system and societal perspective. Patient-level data were collected from patients admitted with a malaria diagnosis to a county-level hospital between June 2016 and May 2017. All treatment documented in medical records were included as health system costs. Patient and household costs included direct medical and non-medical expenses, and indirect costs due to productivity losses.

RESULTS

Of the 746 patients admitted with a malaria diagnosis, 64% were female and 36% were male. The mean age was 14 years (median 7 years). The mean length of stay was three days. The mean health system cost per patient was Kenyan Shilling (KSh) 4288 (USD 42.0) (95% confidence interval (CI) 95% CI KSh 4046-4531). The total household cost per patient was KSh 1676 (USD 16.4) (95% CI KSh 1488-1864) and consisted of: KSh 161 (USD1.6) medical costs; KSh 728 (USD 7.1) non-medical costs; and KSh 787 (USD 7.7) indirect costs. The total societal cost (health system and household costs) per patient was KSh 5964 (USD 58.4) (95% CI KSh 5534-6394). Almost a quarter of patients (24%) had a reported comorbidity. The most common malaria comorbidities were chest infections, diarrhoea, and anaemia. The inclusion of comorbidities compared to patients with-out comorbidities led to a 46% increase in societal costs (health system costs increased by 43% and patient and household costs increased by 54%).

CONCLUSIONS

The economic burden of malaria is increased by comorbidities which are associated with longer hospital stays and higher medical costs to patients and the health system. Understanding the full economic burden of malaria is critical if future malaria control interventions are to protect access to care, especially by the poor.

Examining health facility financing in Kenya in the context of devolution

Background

How health facilities are financed affects their performance and health system goals. We examined how health facilities in the public sector are financed in Kenya, within the context of a devolved health system.

Methods

We carried out a cross-sectional study in five purposely selected counties in Kenya, using a mixed methods approach. We collected data using document reviews and in-depth interviews (no = 20). In each county, we interviewed county department of health managers and health facility managers from two and one purposely selected public hospitals and health center respectively. We analyzed qualitive data using thematic analysis and conducted descriptive analysis of quantitative data.

Results

Planning and budgeting: Planning and budgeting processes by hospitals and health centers were not standardized across counties. Budgets were not transparent and credible, but rather were regarded as “wish lists” since they did not translate to actual resources. Sources of funds: Public hospitals relied on user fees, while health centers relied on donor funds as their main sources of funding. Funding flows: Hospitals in four of the five study counties had no financial autonomy. Health centers in all study counties had financial autonomy. Flow of funds to hospitals and health centers in all study counties was characterized by unpredictability of amounts and timing. Health facility expenditure: Staff salaries accounted for over 80% of health facility expenditure. This crowded out other expenditure and led to frequent stock outs of essential health commodities.

Conclusion

The national and county government should consider improving health facility financing in Kenya by 1) standardizing budgeting and planning processes, 2) transitioning public facility financing away from a reliance on user fees and donor funding 3) reforming public finance management laws and carry out political engagement to facilitate direct facility financing and financial autonomy of public hospitals, and 4) assess health facility resource needs to guide appropriate levels resource allocation.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-07123-7.

What Drives Outpatient Care Costs in Kenya? An Analysis With Generalized Estimating Equations

Objective: This study aimed to identify the factors associated with outpatient expenses incurred by households in Kenya.

Background: The problem of outpatient healthcare expenses incurred by citizens in countries with limited resources has received little attention. Thus, this study aimed to determine the predictors of household spending on outpatient expenses in Kenya.

Method: We conducted a cross-sectional analysis on households in Kenya using data from the 2018 Kenya Household Health Expenditure and Utilization Survey. We applied the generalized estimating equations method to determine the best subset of predictors of outpatient care cost.

Findings: The best predictors of outpatient care expenses in Kenya are age, wealth index, and education level of the household head.

Conclusions: There were no differences regarding age in the mean spending on outpatient care. Moreover, we found that the cost of outpatient care changes with age in a sinusoidal manner. We observed that rich households spent more on outpatient care, mostly owing to their financial ability. Households whose heads reported primary or secondary school education level spent less on outpatient costs than households headed by those who never went to school.

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

BACKGROUND

The 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.

METHODS

The 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%.

RESULTS

The 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).

CONCLUSION

CHEs 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.

Assessment of equity in healthcare financing and benefits distribution in Tanzania: a cross-sectional study protocol

INTRODUCTION

Achieving universal health coverage goal by ensuring access to quality health service without financial hardship is a policy target in many countries. Thus, routine assessments of financial risk protection, and equity in financing and service delivery are required in order to track country progress towards realising this universal coverage target. This study aims to undertake a system-wide assessment of equity in health financing and benefits distribution as well as catastrophic and impoverishing health spending by using the recent national survey data in Tanzania. We aim for updated analyses and compare with previous assessments for trend analyses.

METHODS AND ANALYSIS

We will use cross-sectional data from the national Household Budget Survey 2017/2018 covering 9463 households and 45 935 individuals cross all 26 regions of mainland Tanzania. These data include information on service utilisation, healthcare payments and consumption expenditure. To assess the distribution of healthcare benefits (and in relation to healthcare need) across population subgroups, we will employ a benefit incidence analysis across public and private health providers. The distributions of healthcare benefits across population subgroups will be summarised by concentration indices. The distribution of healthcare financing burdens in relation to household ability-to-pay across population subgroups will be assessed through a financing incidence analysis. Financing incidence analysis will focus on domestic sources (tax revenues, insurance contributions and out-of-pocket payments). Kakwani indices will be used to summarise the distributions of financing burdens according to households' ability to pay. We will further estimate two measures of financial risk protection (ie, catastrophic health expenditure and impoverishing effect of healthcare payments).

ETHICS AND DISSEMINATION

We will involve secondary data analysis that does not require ethical approval. The results of this study will be disseminated through stakeholder meetings, peer-reviewed journal articles, policy briefs, local and international conferences and through social media platforms.

Financial Protection in Health among the Elderly - A Global Stocktake

Universal Health Coverage is one of the key targets of the Sustainable Development Goals and it implies that everyone can access the healthcare they need without suffering financial hardship. In this paper, we use a large set of household surveys to examine if older populations are facing different degrees of financial hardship compared to younger populations. We find that while differences in average age structures between countries are not systematically associated with higher financial risk related to out-of-pocket health expenditures, there are large differences in financial hardship between younger and older households within countries. Households with more elderly members are more likely to face catastrophic and impoverishing out-of-pocket health payments compared to younger households, and this age gradient is stronger for the poorest segments of the population. Making progress toward Universal Health Coverage will require extension and improved targeting of benefit packages and financial protection to meet the health needs of older adults, and especially the poorest and most vulnerable segments of elderly populations.

Minimizing the Risk of Catastrophic Health Expenditure in China: A Multi-Dimensional Analysis of Vulnerable Groups

Background: In moving toward universal health coverage in China, it is crucial to identify which populations should be prioritized for which interventions rather than blindly increasing welfare packages or capital investments. We identify the characteristics of vulnerable groups from multiple perspectives through estimating catastrophic health expenditure (CHE) and recommend intervention priorities. Methods: Data were from National Health Service Survey conducted in 2003, 2008, and 2013. According to the recommendation of WHO, this study adopted 40% as the CHE threshold. A binary regression was used to identify the determinants of CHE occurrence; a probit model was used to obtain CHE standardized incidence under the characteristics of single and two dimensions in 2013. Results: The total incidence of CHE in 2013 was 13.9%, which shows a general trend of growth from 2003 to 2013. Families in western and central regions and rural areas were more at risk. Factors related to social demography show that households with a female or an unmarried head of household or with a low socioeconomic status were more likely to experience CHE. Households with older adults aged 60 and above had 1,524 times higher likelihood of experiencing CHE. Among the health insurance schemes, the participants covered by the New Rural Cooperative Medical Scheme had the highest risk compared with the participants of all basic health insurance schemes. Households with several members seeking outpatient, inpatient care or with non-communicable diseases were more likely to experience CHE. Households with members not seeing a doctor or hospitalized despite the need for it were more likely to experience CHE. Characteristics such as a household head with characteristics related to low socioeconomic status, having more than two hospitalized family members, ranked high. Meanwhile, the combination of having illiterate household heads and with being covered by other health insurance plans or by none ranked the first place. Cancer notably caused a relatively high medical expenditure among households with CHE. Conclusion: In China, considering the vulnerability of the population across different dimensions is conducive to the alleviation of high CHE. Furthermore, people with multiple vulnerabilities should be prioritized for intervention. Identifying and targeting them to offer help and support will be an effective approach.

A spatial analysis of out-of-pocket payments for healthcare in Malawi

Out-of-pocket (OOP) expenditures on health remain high in many low- and middle-income countries despite policy efforts aiming to reduce these health costs by targeting their hotspots. Hotspot targeting remains inadequate, particularly where the OOP expenditures are related across geographic regions due to unequal demand, supply and prices of healthcare services. In this paper, we investigate the existence of geographical correlations in OOP health expenditures by employing a spatial Durbin model on data from 778 clusters obtained from the 2016 Malawi's Integrated Household Survey. Results reveal that Malawian communities face geographical spillovers of OOP health expenditures. Furthermore, we find that factors including household size, education and geographical location are important drivers of the OOP health expenditure's spatial dependency. The paper calls for policy in low-income countries to improve the quality and quantity of healthcare services in both OOP hotspots and their neighbouring communities.

Determinants of household catastrophic costs for drug sensitive tuberculosis patients in Kenya

Background

Despite free diagnosis and treatment for tuberculosis (TB), the costs during treatment impose a significant financial burden on patients and their households. The study sought to identify the determinants for catastrophic costs among patients with drug-sensitive TB (DSTB) and their households in Kenya.

Methods

The data was collected during the 2017 Kenya national patient cost survey from a nationally representative sample (n = 1071). Treatment related costs and productivity losses were estimated. Total costs exceeding 20% of household income were defined as catastrophic and used as the outcome. Multivariable Poisson regression analysis was performed to measure the association between selected individual, household and disease characteristics and occurrence of catastrophic costs. A deterministic sensitivity analysis was carried using different thresholds and the significant predictors were explored.

Results

The proportion of catastrophic costs among DSTB patients was 27% (n = 294). Patients with catastrophic costs had higher median productivity losses, 39 h [interquartile range (IQR): 20–104], and total median costs of USD 567 (IQR: 299–1144). The incidence of catastrophic costs had a dose response with household expenditure. The poorest quintile was 6.2 times [95% confidence intervals (CI): 4.0–9.7] more likely to incur catastrophic costs compared to the richest. The prevalence of catastrophic costs decreased with increasing household expenditure quintiles (proportion of catastrophic costs: 59.7%, 32.9%, 23.6%, 15.9%, and 9.5%) from the lowest quintile (Q1) to the highest quintile (Q5). Other determinants included hospitalization: prevalence ratio (PR) = 2.8 (95% CI: 1.8–4.5) and delayed treatment: PR = 1.5 (95% CI: 1.3–1.7). Protective factors included receiving care at a public health facility: PR = 0.8 (95% CI: 0.6–1.0), and a higher body mass index (BMI): PR = 0.97 (95% CI: 0.96–0.98). Pre TB expenditure, hospitalization and BMI were significant predictors in all sensitivity analysis scenarios.

Conclusions

There are significant inequities in the occurrence of catastrophic costs. Social protection interventions in addition to existing medical and public health interventions are important to implement for patients most at risk of incurring catastrophic costs.

Graphic abstract

Supplementary Information

The online version contains supplementary material available at 10.1186/s40249-021-00879-4.

A Narrative Synthesis Review of Out-of-Pocket Payments for Health Services Under Insurance Regimes: A Policy Implementation Gap Hindering Universal Health Coverage in Sub-Saharan Africa

BACKGROUND

"Achieve universal health coverage (UHC), including financial risk protection, access to quality essential healthcare services and access to safe, effective, quality and affordable essential medicines and vaccines for all" is the Sustainable Development Goal (SDG) 3.8 target. Although most high-income countries have achieved or are very close to this target, low- and middle-income countries (LMICs) especially those in sub-Saharan Africa (SSA) are still struggling with its achievement. One of the observed challenges in SSA is that even where services are supposed to be "free" at point-of-use because they are covered by a health insurance scheme, out-of-pocket fees are sometimes being made by clients. This represents a policy implementation gap. This study sought to synthesise the known evidence from the published literature on the 'what' and 'why' of this policy implementation gap in SSA.

METHODS

The study drew on Lipsky's street level bureaucracy (SLB) theory, the concept of practical norms, and Taryn Vian's framework of corruption in the health sector to explore this policy implementation gap through a narrative synthesis review. The data from selected literature were extracted and synthesized iteratively using a thematic content analysis approach.

RESULTS

Insured clients paid out-of-pocket for a wide range of services covered by insurance policies. They made formal and informal cash and in-kind payments. The reasons for the payments were complex and multifactorial, potentially explained in many but not all instances, by coping strategies of street level bureaucrats to conflicting health sector policy objectives and resource constraints. In other instances, these payments appeared to be related to structural violence and the 'corruption complex' governed by practical norms.

CONCLUSION

A continued top-down approach to health financing reforms and UHC policy is likely to face implementation gaps. It is important to explore bottom-up approaches - recognizing issues related to coping behaviour and practical norms in the face of unrealistic, conflicting policy dictates.

Patterns and predictors of private and public health care utilization among residents of an informal settlement in Nairobi, Kenya: a cross-sectional study

BACKGROUND

Knowledge of health care utilization is important in low-and middle-income countries where inequalities in the burden of diseases and access to primary health care exist. Limited evidence exists on health seeking and utilization in the informal settlements in Kenya. This study assessed the patterns and predictors of private and public health care utilization in an urban informal settlement in Kenya.

METHODS

This study used data from the Lown scholars study conducted between June and July 2018. A total of 300 households were randomly selected and data collected from 364 household members who reported having sought care for an illness in the 12 months preceding the study. Data were collected on health-seeking behaviour and explanatory variables (predisposing, enabling, and need factors). Health care utilization patterns were described using proportions. Predictors of private or public health care use were identified using multinomial logistic regression with the reference group being other providers.

RESULTS

Majority of the participants used private (47%) and public facilities (33%) with 20% using other providers including local pharmacies/drug shops and traditional healers. In the model comparing public facilities vs other facilities, members who were satisfied with the quality of health care (vs not satisfied) were less likely to use public facilities (adjusted relative risk ratio (aRRR) 0.29; CI 0.11-0.76) while members who reported an acute infection (vs no acute infection) were more likely to use public facilities (aRRR 2.31; 95% CI 1.13-4.99) compared to other facilities. In the second model comparing private facilities to other facilities, having health insurance coverage (aRRR 2.95; 95% CI 1.53-5.69), satisfaction with cost of care (aRRR 2.08; CI 1.00-4.36), and having an acute infection (aRRR 2.97; 95% CI 1.50-5.86) were significantly associated with private facility use compared to other facilities.

CONCLUSIONS

The majority of urban informal settlement dwellers seek care from private health facilities. As Kenya commits to achieving universal health coverage, interventions that improve health care access in informal and low-resource settlements are needed and should be modelled around enabling and need factors, particularly health care financing and quality of health care.

Who Suffers From Pharmaceutical Poverty and What Are Their Needs? Evidence From a Spanish Region

Background: Pharmaceutical poverty occurs when a patient cannot afford the cost of prescribed medication and/or medical products. Nonprofit organizations are covering the cost of medication to those patients in some contexts. The aim of the study was to describe the population of beneficiaries of the PB, a nongovernmental organization based on the primary healthcare system, which provides free-of-charge access to medicines and their utilization pattern of medicines and healthcare products. Methods: This was an observational study using PB beneficiary data collected between November 2017 and December 2018 in Catalonia. The Catalan Health Service provided information from the general population. A descriptive analysis of the beneficiaries' characteristics was conducted and compared to the general population. Results: The beneficiaries (N = 1,206) were mainly adults with a low level of education, unemployed, with functional disability, and with ≥1 child. Compared with the general population, the beneficiaries were older, had a lower level of education, showed a higher prevalence of functional disability, were less likely to be Spanish, and were more likely to be divorced and unemployed. The beneficiaries were polymedicated, and most were using medication related to the nervous (79%), musculoskeletal (68%), and cardiovascular system (56%) and alimentary tract and metabolism (68%). Almost 19% of beneficiaries used healthcare products. Female beneficiaries were older and more likely to be divorced or widowed, employed, and with children. Compared to men, women were more likely to use medicines for pain and mental disorders. The pediatric group used medications for severe, chronic conditions (heart diseases, autoimmune diseases, conduct disorders, and attention deficit hyperactivity disorder). Conclusion: Patients with severe, chronic, and disabling conditions are affected by pharmaceutical poverty. While the system of copayment remains unchanged, family physicians and pediatricians should explore economic barriers to treatment and direct their patients to resources that help to cover the cost of treatment.

Assessing the progress and gaps in strategic health purchasing in Kenya

Background: Kenya has committed to achieve universal health coverage (UHC) and prioritised purchasing reforms. Existing evidence indicates that purchasing can be leveraged to achieve health system objectives when done strategically. However, no single study has collated evidence on the progress and bottlenecks on strategic health purchasing (SHP) in Kenya to inform requisite SHP reforms in moving towards UHC. Against this backdrop, we assessed the progress and gaps in SHP in Kenya. Methods: We used a cross-sectional qualitative study design and collected data using document reviews, key informant interviews, and a stakeholder engagement workshop focussing on the three main purchasers in Kenya: the National Hospital Insurance Fund (NHIF), county departments of health (CDOH) and the Ministry of Health (purchaser for vertical programmes). Data was analysed following a framework analysis approach. Results: Kenya is making progress towards developing, implementing and institutionalising SHP practices that should lead to the attainment of health system goals. Progress has been made in 1) strengthening the process of defining a health benefits package available for the population, 2) engaging in selective contracting and integrated care contracting, 3) implementing multiple provider payment mechanisms, 4) designing legal and regulatory frameworks that provide direction for purchasing, and 5) increasingly utilising information systems. However, several gaps remain. First, there remain inadequate linkages between MOH policies and the NHIF that can facilitate adequate stewardship/oversight. Second, the purchasers lack adequate capacity to ensure quality assurance and enforce contracts. Third, provider payment methods (PPM) remain poorly designed, implemented, and are not adequately linked to health system goals. Finally, purchasers have weak or unclearly defined communications strategies to patients and providers. Conclusions: Although Kenya is making progress in SHP, key gaps remain. Consequently, there is a need to implement reforms that will align the purchasers’ actions and decisions to the ideals of strategic health purchasing.