Variations in out-of-pocket spending and factors influencing catastrophic health expenditure of households with patients suffering from chronic conditions in four districts in Sri Lanka.

INTRODUCTION: Healthcare financing systems, dependent on out-of-pocket expenditure(OOPE), impose a heavy burden on those who use the services regularly, such as patients suffering from chronic diseases. High OOPE for health services leads to decreased utilization of the services and/or catastrophic health expenditure, which would significantly impede the achievement of Universal Health coverage. OBJECTIVE: We aimed to determine variations in OOPE and factors associated with Catastrophic Health Expenditure (CHE) of households with patients suffering from non-communicable diseases(NCDs) in four districts. METHODS: A survey was conducted among 2344 adult patients having selected NCD/s. Multi-stage stratified cluster sampling selected respondents from 4 districts representing urban, rural, semi-urban, and estate. Data was collected using a validated interviewer-administered questionnaire. Logistic regression identified the predictors of CHE(> 40%). Significance was considered as 0.05. RESULTS: Common NCDs were hypertension(29.1%), diabetes(26.8.0%), hyperlipidaemia(9.8%) and asthma(8.2%). Only 13% reported complications associated with NCDs. Fifty-six percent(N = 1304) were on regular clinic follow-up, and majority utilized western-medical government hospitals(N = 916,70.2%). There were 252 hospital admissions for chronic-disease management in the past 12 months. Majority(86%) were admitted to government sector hospitals. Most patients incurred nearly SLR 3000 per clinic visit and SLR 3300 per hospital admission. CHE was beyond 40% for 13.5% of the hospital admissions and 6.1% of the regular clinic follow-up. Patients admitted to private sector hospitals had 2.61 times higher CHE than those admitted to government sector hospitals. CONCLUSIONS: Patients with NCDs incurred high OOPE and faced CHE during healthcare seeking in Sri Lanka. The prevalence of NCDs and complications were high among the participants. Patients with chronic conditions incur high OOPE for a single clinic visit and a hospital admission. Patients incur high OOPE on direct medical costs, and district-wise variations were observed. The proportion with more than 40% CHE on monthly clinic care was high. Patients being followed up in the government sector are more likely to have CHE when obtaining healthcare and are more likely to face barriers in obtaining needed health services. The services rendered to patients with chronic conditions warrant a more integrative approach to reduce the burden of costs and related complications.

How external and agency characteristics are related to coordination in homecare - findings of the national multicenter, cross-sectional SPOTnat study.

BACKGROUND: Homecare client services are often distributed across several interdependent healthcare providers, making proper care coordination essential. However, as studies exploring care coordination in the homecare setting are scarce, serious knowledge gaps exist regarding how various factors influence coordination in this care sector. To fill such gaps, this study's central aim was to explore how external factors (i.e., financial and regulatory mechanisms) and homecare agency characteristics (i.e., work environment, workforce, and client characteristics) are related to care coordination in homecare. METHODS: This analysis was part of a national multicentre, cross-sectional study in the Swiss homecare setting that included a stratified random sample of 88 Swiss homecare agencies. Data were collected between January and September 2021 through agency and employee questionnaires. Using our newly developed care coordination framework, COORA, we modelled our variables to assess the relevant components of care coordination on the structural, process, and outcome levels. We conducted both descriptive and multilevel regression analyses-with the latter adjusting for dependencies within agencies-to explore which key factors are associated with coordination. RESULTS: The final sample size consisted of 1450 employees of 71 homecare agencies. We found that one explicit coordination mechanism ("communication and information exchange" (beta = 0.10, p <.001)) and four implicit coordination mechanisms-"knowledge of the health system" (beta = -0.07, p <.01), "role clarity" (beta = 0.07, p <.001), "mutual respect and trust" (beta = 0.07, p <.001), and "accountability, predictability, common perspective" (beta = 0.19, p <.001)-were significantly positively associated with employee-perceived coordination. We also found that the effects of agency characteristics and external factors were mediated through coordination processes. CONCLUSION: Implicit coordination mechanisms, which enable and enhance team communication, require closer examination. While developing strategies to strengthen implicit mechanisms, the involvement of the entire care team is vital to create structures (i.e., explicit mechanisms) that enable communication and information exchange. Appropriate coordination processes seem to mitigate the association between staffing and coordination. This suggests that they support coordination even when workload and overtime are higher.

A policy option towards improving efficiencies in Victorian public oral healthcare.

BACKGROUND: International oral health policy directions led by the World Health Organisation call for the inclusion of oral health within universal health coverage. The aim of this study is to perform a budget impact analysis of a policy option for a more cost-efficient oral health workforce skill-mix (dentists and oral health therapists) to provide public oral healthcare in Victoria, Australia. METHODS: Two hypothetical standard care pathways were developed. A dynamic population Markov model in TreeAge software, with a time horizon of 6 years. Two scenarios were modelled to determine: (1) base-case scenario: the threshold the dentist workforce could reduce per year, while achieving the same service delivery outputs, and (2) alternative scenario: the potential cost-savings for utilising an optimally cost-efficient oral health workforce skill-mix. RESULTS: The threshold analysis showed a minimum reduction of 13% of the dentist workforce being replaced with oral health therapists can occur without having any impact on the same service delivery outputs. Under the alternative scenario, the potential cost-savings would be AUD$1,425,037 (standard deviation 58,954). CONCLUSIONS: Governments and policy-decision makers should consider strategies in training, attracting, and retaining oral health therapists to achieve an optimally cost-efficient oral health workforce skill-mix when delivering public oral healthcare.

How regulatory frameworks drive differences in home-care agencies: Results from a national multicenter cross-sectional study in Switzerland.

INTRODUCTION: The sustainability and rising costs of the health-care system are of concern. Although health-care reforms impact various areas of care, there is only limited evidence on how regulations affect home-care agencies and health-care delivery. OBJECTIVES: The primary aim was to explore different financial and regulatory mechanisms and how they drive differences in the organizational structures, processes, and work environment of home-care agencies. DESIGN AND METHODS: We used data from a national multicenter cross-sectional study of Swiss home care that included a random sample of 88 home-care agencies with a total of 3223 employees. Data was collected in 2021 through agency and personnel questionnaires including geographic characteristics, financial and regulatory mechanisms, service provision, financing, work environment, resources and time allocation, and personnel recruitment. We first conducted a cluster analysis to build agency groups with similar financial and regulatory mechanisms. We then performed Fisher's exact, ANOVA, and Kruskal-Wallis tests to determine group differences in organizational structures, processes, and work environments. Finally, we performed a lasso regression to determine which variables were predictive for the groups. RESULTS: Four agency groups were built, differing in view of financial and regulatory mechanisms and we found differences in the range and amount of services provided, with regard to employment conditions and cost structures. DISCUSSION: The most prominent differences were found between agency groups with versus agency groups without a service obligation. Financial incentives must be well aligned with the goal of achieving and maintaining financially sustainable, accessible, and high-quality home care.

[Using diagnosis-related groups in Chile: lessons and challengesLições e desafios do uso de grupos de diagnósticos relacionados no Chile]. / Lecciones y desafíos del uso de los grupos relacionados por el diagnóstico en Chile.

Objective: Analyze the implementation of diagnosis-related groups (DRGs) in Chile with a view to optimizing the distribution of public resources. Methods: A chronological narrative analysis of the main milestones was complemented by simulated application of DRGs through emulated competition and cluster analysis for evaluative purposes. Results: In 2001, DRGs were introduced in Chile in an academic context. The National Health Fund (FONASA) began using DRGs in the private sector. A public sector pilot was launched in 2015. After nearly two decades of progress, in 2020 FONASA established the DRG program as a payment mechanism for public hospitals. However, the COVID-19 pandemic slowed its development. In 2022, implementation was resumed. After evaluating the program, it was evident that the hospital clusters that had been predefined for differentiated payment did not successfully differentiate homogeneous groups. In 2023, the program was reformed, financing was increased, a single cluster and base rate were defined, and greater hospital complexity was recognized, compared to previous years. Three hospitals were added to the program, for a total of 68. Conclusions: This experience shows that it is possible to sustain a public health financing policy that achieves greater efficiency and equity in the health system, based on the existence of robust institutions that continuously develop and improve.

Objetivo: Analisar a implementação de grupos de diagnósticos relacionados (DRG, na sigla em inglês) no Chile, com o objetivo de otimizar a distribuição de recursos públicos. Método: Foi utilizada uma análise narrativa cronológica dos principais marcos, complementada por simulações da implementação de DRG usando concorrência simulada (yardstick competition) e análise de agrupamento para fins de avaliação. Resultados: O modelo de DRG foi introduzido no Chile em 2001, em um contexto acadêmico. Em 2015, o Fundo Nacional de Saúde (FONASA) começou a utilizá-lo no setor privado e, com um projeto-piloto, no setor público. Após quase duas décadas de progresso, em 2020, o programa de DRG foi implementado como mecanismo de pagamento do FONASA para os hospitais públicos. No entanto, a pandemia de COVID-19 interrompeu seu desenvolvimento. Em 2022, a aplicação foi retomada e, após uma avaliação do programa, ficou claro que os grupos hospitalares predefinidos para o pagamento diferenciado por DRG não formavam grupos homogêneos. Em 2023, o programa foi reformulado, com aumento dos recursos financeiros e a definição de um único agrupamento e de uma taxa básica, reconhecendo-se uma maior complexidade hospitalar do que nos anos anteriores. Além disso, três hospitais foram adicionados ao programa, elevando o total para 68. Conclusões: A experiência mostra que é possível dar continuidade a uma política pública de financiamento da saúde para alcançar maior eficiência e equidade no sistema de saúde com base na existência de instituições sólidas que persistam em seu desenvolvimento e contínuo aprimoramento.

To what extent has the Iranian Health Transformation Plan addressed inequality in healthcare financing in Iran?

BACKGROUND: One of the major goals of health systems is providing a financing strategy without inequality; this has a significant impact on people's access to healthcare. The present study aimed to investigate the inequality in households' financial contribution (HFC) to health expenditure both before and after the implementation of the Iranian Health Transformation Plan (HTP) in 2014. METHODS: This study is a secondary analysis of two waves of a national survey conducted in Iran. The data were collected from the Households Income and Expenditure Survey in 2013 and 2015. The research sample included 76,195 Iranian households. The inequality in households' financial contributions to the health system was assessed using the Gini coefficient, and the concentration index (CI). In addition, by using econometric modeling, the relationship between the implementation of the HTP and inequality in HFC was studied. The households' financial contribution included healthcare and health insurance prepayments. RESULTS: The Gini coefficient values were 0.67 and 0.65 in 2013 and 2015, respectively, indicating a medium degree of inequality in HFC in both years. The CI values were 0.54 and 0.56 in 2013 and 2015, respectively, suggesting that inequalities in HFC were in favor of higher income quintiles in the years before and after the implementation of the HTP. Regression analysis showed that households with a female head, with an unemployed head, or with a head having income without a job were contributing more to financing health expenditure. The presence of a household member over the age of 65 was associated with a higher level of HFC. The implementation of the HTP had a negative relationship with the HFC. CONCLUSION: The HTP, aiming to address inequality in the financing system, did not achieve the intended goal as expected. The implementation of the HTP neglected certain factors at the household level, such as the presence of family members older than the age of 65, a female household head, and unemployment. This resulted in a failure to reduce the inequality of the HFC. We suggest that, in the future, policymakers take into account factors at the household level to reduce inequality in the HFC.

How do health system factors (funding and performance) impact on access to healthcare for populations experiencing homelessness: a realist evaluation.

BACKGROUND: People experiencing long-term homelessness face significant difficulties accessing appropriate healthcare at the right time and place. This study explores how and why healthcare performance management and funding arrangements contribute to healthcare accessibility or the lack thereof using long-term homeless adults as an example of a population experiencing social exclusion. METHODS: A realist evaluation was undertaken. Thirteen realist interviews were conducted after which data were transcribed, coded, and analysed. RESULTS: Fourteen CMOCs were created based on analysis of the data collected. These were then consolidated into four higher-level CMOCs. They show that health systems characterised by fragmentation are designed to meet their own needs above the needs of patients, and they rely on practitioners with a special interest and specialised services to fill the gaps in the system. Key contexts identified in the study include: health system fragmentation; health service fragmentation; bio-medical, one problem at a time model; responsive specialised services; unresponsive mainstream services; national strategy; short health system funding cycles; and short-term goals. CONCLUSION: When health services are fragmented and complex, the needs of socially excluded populations such as those experiencing homelessness are not met. Health systems focus on their own metrics and rely on separate actors such as independent NGOs to fill gaps when certain people are not accommodated in the mainstream health system. As a result, health systems lack a comprehensive understanding of the needs of all population groups and fail to plan adequately, which maintains fragmentation. Policy makers must set policy and plan health services based on a full understanding of needs of all population groups.

Unsalaried health workers in Sierra Leone: a scoping review of the literature to establish their impact on healthcare delivery.

BACKGROUND: The World Health Organisation (WHO) estimates a 10 million health worker shortage by 2030. Despite this shortage, some low-income African countries paradoxically struggle with health worker surpluses. Technically, these health workers are needed to meet the minimum health worker-population ratio, but insufficient job opportunities in the public and private sector leaves available health workers unemployed. This results in emigration and un- or underemployment, as few countries have policies or plans in place to absorb this excess capacity. Sierra Leone, Liberia and Guinea have taken a different approach; health authorities and/or public hospitals 'recruit' medical and nursing graduates on an unsalaried basis, promising eventual paid public employment. 50% Sierra Leone's health workforce is currently unsalaried. This scoping review examines the existing evidence on Sierra Leone's unsalaried health workers (UHWs) to establish what impact they have on the equitable delivery of care. METHODS: A scoping review was conducted using Joanna Briggs Institute guidance. Medline, PubMed, Scopus, Web of Science were searched to identify relevant literature. Grey literature (reports) and Ministry of Health and Sanitation policy documents were also included. RESULTS: 36 texts, containing UHW related data, met the inclusion criteria. The findings divide into two categories and nine sub-categories: Charging for care and medicines that should be free; Trust and mistrust; Accountability; Informal provision of care, Private practice and lack of regulation. Over-production of health workers; UHW issues within policy and strategy; Lack of personnel data undermines MoHS planning; Health sector finance. CONCLUSION: Sierra Leone's example demonstrates that UHWs undermine equitable access to healthcare, if they resort to employing a range of coping strategies to survive financially, which some do. Their impact is wide ranging and will undermine Sierra Leone's efforts to achieve Universal Health Coverage if unaddressed. These findings are relevant to other LICs with similar health worker surpluses.

Preferences of healthcare workers for provider payment systems in The Gambia's National Health Insurance Scheme.

BACKGROUND: The Government of The Gambia introduced a national health insurance scheme (NHIS) in 2021 to promote universal health coverage (UHC). Provider payment systems (PPS) are strategic purchasing arrangements that can enhance provider performance, accountability, and efficiency in the NHIS. This study assessed healthcare workers' (HCWs') preferences for PPS across major service areas in the NHIS. METHODS: A facility-based cross-sectional study was conducted using a probability proportionate to size sampling technique to select an appropriate sample size. Health care workers were presented with options for PPS to choose from across major service areas. Descriptive statistics explored HCW socio-demographic and health service characteristics. Multinomial logistic regressions were used to assess the association between these characteristics and choices of PPS. RESULTS: The majority of HCW did not have insurance coverage, but more than 60% of them were willing to join and pay for the NHIS. Gender, professional cadre, facility level, and region influenced HCW's preference for PPS across the major service areas. The preferred PPS varied among HCW depending on the service area, with capitation being the least preferred PPS across all service areas. CONCLUSION: The National Health Insurance Authority (NHIA) needs to consider HCW's preference for PPS and factors that influence their preferences when choosing various payment systems. Strategic purchasing decisions should consider the incentives these payment systems may create to align incentives to guide provider behaviour towards UHC. The findings of this study can inform policy and decision-makers on the right mix of PPS to spur provider performance and value for money in The Gambia's NHIS.

Laos' Social Health Insurance (SHI) program's impact on older people's accessibility and financial security against catastrophic health expense.

Laos has introduced various SHI schemes for multiple groups of the population, such as government officials and other population groups under the NHI schemes. There is no specific health insurance policy for this group of people who need special health services and may have a higher possibility of entering financial catastrophe. This study aims to assess the impact of SHI schemes on accessibility and financial catastrophe against catastrophic health expenditures for older people in Laos. A structured questionnaire has been used to retrieve information from 400 older people across 39 villages in Kaysone Phomvihane District, Savannakhet province, the largest province in Laos. In the analytical process, this study used a cross-sectional study design and binary logistic regression models to predict the likelihood of accessing health facilities and experiencing financial catastrophe. The study outcome shows that the increase in age, occupation, number of older people within a household, and presence of chronic conditions increase the likelihood of using health services. Despite the existence of various SHI schemes, this study found that 74 out of 165 households reported using health services experienced catastrophic health expenditure. Several characteristics are associated with catastrophic health expenditure: age, income level, and gender are prone to suffer from catastrophic health expenditure. The difficult problems stem from the absence of comprehensive legislation regarding the older population. Recommendations for policymakers in various timeframes have been made, which cover short- and long-term policy proposals, including providing a specialized lane or fast-track for an older population, building health facilities exclusively for older people, and providing transportation services for older individuals living alone.

Prevalence and predictors of prolonged length of stay among patients admitted under general internal medicine in a tertiary government hospital in Manila, Philippines: a retrospective cross-sectional study.

BACKGROUND: Prolonged hospitalization leads to poorer health outcomes and consumes limited hospital resources. This study identified factors associated with prolonged length of stay (PLOS) among internal medicine patients admitted in a tertiary government hospital. METHODS: We reviewed the medical records of 386 adult patients admitted under the primary service of General Internal Medicine at the Philippine General Hospital from January 1 to December 31, 2019. PLOS was defined as at least 14 days for emergency admissions or 3 days for elective admissions. Sociodemographics, clinical characteristics, admission- and hospital system-related factors, disease-specific factors, outcome on the last day of hospitalization, and hospitalization costs were obtained. We determined the proportion with PLOS and reviewed reasons for discharge delays. We conducted multiple logistic regression analyses to assess associations between various factors and PLOS. RESULTS: The prevalence of PLOS is 19.17% (95% CI 15.54, 23.42). Positive predictors include being partially dependent on admission (aOR 2.61, 95% CI 0.99, 6.86), more co-managing services (aOR 1.26, 95% CI 1.06, 1.50), and longer duration of intravenous antibiotics (aOR 1.36, 95% CI 1.22, 1.51). The only negative predictor is the need for intravenous antibiotics (aOR 0.14, 95% CI 0.04, 0.54). The most common reason for discharge delays was prolonged treatment. The median hospitalization cost of patients with PLOS was PHP 77,427.20 (IQR 102,596). CONCLUSIONS: Almost a fifth of emergency admissions and a quarter of elective admissions had PLOS. Addressing factors related to predictors such as functional status on admission, number of co-managing services, and use of intravenous antibiotics can guide clinical and administrative decisions, including careful attention to vulnerable patients and judicious use of resources.

Health system characteristics and COVID-19 performance in high-income countries.

BACKGROUND: The COVID-19 pandemic has shaken everyday life causing morbidity and mortality across the globe. While each country has been hit by the pandemic, individual countries have had different infection and health trajectories. Of all welfare state institutions, healthcare has faced the most immense pressure due to the pandemic and hence, we take a comparative perspective to study COVID-19 related health system performance. We study the way in which health system characteristics were associated with COVID-19 excess mortality and case fatality rates before Omicron variant. METHODS: This study analyses the health system performance during the pandemic in 43 OECD countries and selected non-member economies through three healthcare systems dimensions: (1) healthcare finance, (2) healthcare provision, (3) healthcare performance and health outcomes. Health system characteristics-related data is collected from the Global Health Observatory data repository, the COVID-19 related health outcome indicators from the Our World in Data statistics database, and the country characteristics from the World Bank Open Data and the OECD statistics databases. RESULTS: We find that the COVID-19 excess mortality and case fatality rates were systematically associated with healthcare system financing and organizational structures, as well as performance regarding other health outcomes besides COVID-19 health outcomes. CONCLUSION: Investments in public health systems in terms of overall financing, health workforce and facilities are instrumental in reducing COVID-19 related mortality. Countries aiming at improving their pandemic preparedness may develop health systems by strengthening their public health systems.

Double burden of vulnerability for refugees: conceptualization and policy solutions for financial protection in Iran using systems thinking approach.

INTRODUCTION: Iran is host to one of the world's largest and longest-standing refugee populations. Although Iran has initiated a basic health insurance scheme for refugees throughout the country since September 2015, the population coverage of this scheme is very low, and various factors have caused a significant percentage of refugees to still lack insurance coverage and often face financial hardships when receiving health services. In response, this study aimed to understand barriers to insurance coverage among refugees in Iran and propose effective policies that can address persistent gaps in financial protection. METHODS: This qualitative study was conducted in two phases. First, a review of policy documents and interviews with participants were conducted to investigate the common barriers and facilitators of effective insurance coverage for refugees in Iran. Then, a systems thinking approach was applied to visualize the common variables and interactions on the path to achieving financial protection for refugees. RESULTS: Findings showed that various factors, such as (1) household-based premium for refugees, (2) considering a waiting time to be eligible for insurance benefits, (3) determining high premiums for non-vulnerable groups and (4) a deep difference between the health services tariffs of the public and private service delivery sectors in Iran, have caused the coverage of health insurance for non-vulnerable refugees to be challenging. Furthermore, some policy solutions were found to improve the health insurance coverage of refugees in Iran. These included removing household size from premium calculations, lowering current premium rates and getting monthly premiums from non-vulnerable refugees. CONCLUSIONS: A number of factors have caused health insurance coverage to be inaccessible for refugees, especially non-vulnerable refugees in Iran. Therefore, it is necessary to adopt effective policies to improve the health financing for the refugee with the aim of ensuring financial protection, taking into account the different actors and the interactions between them.

[HUMAN RESOURCES MANAGEMENT OF A PRIVATE MEDICAL ORGANIZATION].

The article deals with the issues of human resources management of a private medical organization. The author investigates the current state of the staffing of Russian healthcare: the provision of specialists in the healthcare system, professional motivation and prospects for the development of private medicine. In recent years, a system of private medical organizations has been formed in the Russian market of medical services, which provide medical care in parallel with state medical structures. Research in the field of human resource management in healthcare of a theoretical and practical nature shows that the problem of personnel shortage in the field of medicine is urgent and needs to be solved. One of the factors of insufficient staffing of medical organizations is the underinvestment of the healthcare industry over a long period and low preparedness for emergency situations and response to them, which has worsened under the influence of the rapid spread of the coronavirus pandemic. In conclusion, it is concluded that the main task of the effective functioning of a medical organization and the provision of high-quality medical services is the management of human resources. The purpose of this study is to consider the issues of human resources management of a private medical organization.

Access to and Affordability of World Health Organization Essential Medicines for Cancer in Sub-Saharan Africa: Examples from Kenya, Rwanda, and Uganda.

BACKGROUND: Cancer mortality is high in sub-Saharan Africa (SSA), partly due to inadequate treatment access. We explored access to and affordability of cancer treatment regimens for the top 10 cancers utilizing examples from Kenya, Uganda, and Rwanda. MATERIALS AND METHODS: Population, healthcare financing, minimum wage, and cancer incidence and mortality data were obtained from the WHO, World Bank, public sources, and GLOBOCAN. National Essential Medicines List (NEML) alignment with 2019 WHO EML was assessed as a proportion. Cancer regimen pricing was calculated using public and proprietary sources and methods from prior studies. Affordability through universal healthcare coverage (UHC) was assessed as 1-year cost <3× gross national income per capita; and to patients out-of-pocket (OOP), as 30-day treatment course cost <1 day of minimum wage work. RESULTS: A total of 93.4% of the WHO EML cancer medicines were listed on the 2019 Kenya NEML, and 70.5% and 41.1% on Uganda (2016) and Rwanda (2015) NEMLs, respectively. Generic chemotherapies were available and affordable to governments through UHC to treat non-Hodgkin's lymphoma, cervical, breast, prostate, colorectal, ovarian cancers, and select leukemias. Newer targeted agents were not affordable through government UHC purchasing, while some capecitabine-based regimens were not affordable in Uganda and Rwanda. All therapies were not affordable OOP. CONCLUSION: All cancer treatment regimens were not affordable OOP and some were not covered by governments. Newer targeted drugs were not affordable to all 3 governments. UHC of cancer drugs and improving targeted therapy affordability to LMIC governments in SSA are key to improving treatment access and health outcomes.

Valuing the cross-sector benefits from improving youth health to drive investment in place-based preventive interventions in the US: A simulation modeling study.

Healthcare payment reform has not produced incentives for investing in place-based, or population-level, upstream preventive interventions. This article uses economic modeling to estimate the long-term benefits to different sectors associated with improvements in population health indicators in childhood. This information can motivate policymakers to invest in prevention and provide guidance for cross-sector contracting to align incentives for implementing place-based preventive interventions. A benefit-cost model developed by the Washington State Institute for Public Policy was used to estimate total and sector-specific benefits expected from improvements to nine different population health indicators at ages 17 and 18. The magnitudes of improvement used in the model were comparable to those that could be achieved by high-quality implementation of evidence-based population-level preventive interventions. Benefits accruing throughout the lifecycle and over a ten-year time horizon were modelled. Intervention effect sizes of 0.10 and 0.20 demonstrated substantial long-term benefits for eight of the nine outcomes measured. At an effect size of 0.10, the median lifecycle benefit per participant across the ten indicators was $3080 (ranged: $93 to $14,220). The median over a 10-year time horizon was $242 (range: $14 to $1357). Benefits at effect sizes of 0.20 were approximately double. Policymakers may be able to build will for additional investment based on these cross-sector returns and communities may be able to capture these cross-sector benefits through contracting to better align incentives for implementing and sustaining place-based preventive interventions.

Impact of Team-Based Care on Emergency Department Use.

PURPOSE: We sought to assess the impact of team-based care on emergency department (ED) use in the context of physicians transitioning from fee-for-service payment to capitation payment in Ontario, Canada. METHODS: We conducted an interrupted time series analysis to assess annual ED visit rates before and after transition from an enhanced fee-for-service model to either a team capitation model or a nonteam capitation model. We included Ontario residents aged 19 years and older who had at least 3 years of outcome data both pretransition and post-transition (N = 2,524,124). We adjusted for age, sex, income quintile, immigration status, comorbidity, and morbidity, and we stratified by rurality. A sensitivity analysis compared outcomes for team vs nonteam patients matched on year of transition, age, sex, rurality, and health region. RESULTS: We compared 387,607 team and 1,399,103 nonteam patients in big cities, 213,394 team and 380,009 nonteam patients in small towns, and 65,289 team and 78,722 nonteam patients in rural areas. In big cities, after adjustment, the ED visit rate increased by 2.4% (95% CI, 2.2% to 2.6%) per year for team patients and 5.2% (95% CI, 5.1% to 5.3%) per year for nonteam patients in the years after transition (P <.001). Similarly, there was a slower increase in ED visits for team relative to nonteam patients in small towns (0.9% [95% CI, 0.7% to 1.1%] vs 2.9% [95% CI, 2.8% to 3.1%], P <.001) and rural areas (‒0.5% [95% CI, -0.8% to 0.2%] vs 1.3% [95% CI, 1.0% to 1.6%], P <.001). Results were much the same in the matched analysis. CONCLUSIONS: Adoption of team-based primary care may reduce ED use. Further research is needed to understand optimal team composition and roles.

Contributions and challenges of healthcare financing towards universal health coverage in Ethiopia: a narrative evidence synthesis.

BACKGROUND: High burden of healthcare expenditure precludes the poor from access to quality healthcare services. In Ethiopia, a significant proportion of the population has faced financial catastrophe associated with the costs of healthcare services. The Ethiopian Government aims to achieve universal health coverage (UHC) by 2030; however, the Ethiopian health system is struggling with low healthcare funding and high out-of-pocket (OOP) expenditure despite the implementation of several reforms in health care financing (HCF). This review aims to map the contributions, successes and challenges of HCF initiatives in Ethiopia. METHODS: We searched literature in three databases: PubMed, Scopus, and Web of science. Search terms were identified in broader three themes: health care financing, UHC and Ethiopia. We synthesised the findings using the health care financing framework: revenue generation, risk pooling and strategic purchasing. RESULTS: A total of 52 articles were included in the final review. Generating an additional income for health facilities, promoting cost-sharing, risk-sharing/ social solidarity for the non-predicted illness, providing special assistance mechanisms for those who cannot afford to pay, and purchasing healthcare services were the successes of Ethiopia's health financing. Ethiopia's HCF initiatives have significant contributions to healthcare infrastructures, medical supplies, diagnostic capacity, drugs, financial-risk protection, and healthcare services. However, poor access to equitable quality healthcare services was associated with low healthcare funding and high OOP payments. CONCLUSION: Ethiopia's health financing initiatives have various successes and contributions to revenue generation, risk pooling, and purchasing healthcare services towards UHC. Standardisation of benefit packages, ensuring beneficiaries equal access to care and introducing an accreditation system to maintain quality of care help to manage service disparities. A unified health insurance system that providing the same benefit packages for all, is the most efficient way to attain equitable access to health care.

New reimbursement model in Icelandic primary care in 2017: first-year comparison of public and private primary care.

OBJECTIVE: To analyze and compare the effect of a new reimbursement model (based on a modified version of the Swedish free choice reform) on private and public primary care in Iceland during its first year of use. DESIGN: Descriptive comparison based on official data from the Ministry of Welfare, Directorate of Health, and the Icelandic Health Insurance on payments in the Icelandic primary care system. SETTING: Primary care system operating in the Reykjavik capital area. Public primary care has dominated the Icelandic health sector. Both public and private primary care is financed by public taxation. SUBJECTS: Fifteen public and four private primary care centers in the capital region. MAIN OUTCOME MEASURES: Different indexes used in the reimbursement model and public vs. private primary care costs. RESULTS: No statistically significant cost differences were found between public and private primary care centers regarding total reimbursements, reimbursements per GP, number of registered patients, or per visit. Two indexes covered over 80% of reimbursements in the model. CONCLUSION: The cost for Icelandic taxpayers was equal in numerous indexes between public and private primary care centers. Only public centers got reimbursements for the care need index, which considers a patient's social needs, strengths, and weaknesses.KEY POINTSThe Icelandic primary care system underwent a reform in 2017 to improve availability and quality. A new reimbursement model was introduced, and two new private centers opened following a tender.Two out of 14 indexes cover over 80% of total reimbursements from the new model.Only 5 primary care centers, all publicly driven, got reimbursement for the care need index, which is a social deprivation index.Reimbursement systems should mirror the policies of health authorities and empower the workforce.

NATIONAL HEALTH FINANCING SYSTEMS AGAINST THE BACKDROP OF A GLOBAL PANDEMIC: NEW CHALLENGES AND PROSPECTS.

OBJECTIVE: The aim: The purpose of the article is to study the challenges and prospects for the development of national health financing systems against the background of a pandemic. PATIENTS AND METHODS: Materials and methods: Our research consists of two interrelated stages. At the first stage, the central task was to determine the size of the drop in world GDP. In the second part of the study, we focused on the definition of the essence of concession agreements in order to use t in the field of medical care. The key methods used in this study were data analysis, generalization, and comparison. CONCLUSION: Conclusions: National health financing systems in the vast majority of the world's countries have experienced unprecedented pressures and problems both in terms of health insurance due to the huge losses of the insurance industry in 2020. In order to improve health care financing systems, it is necessary to update the forms, methods and tools of the insurance market functioning in terms of the health insurance segment, and to introduce new mechanisms for financing the medical sector in the process of combating the spread of coronavirus infection.