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BACKGROUND: The adoption of C-reactive protein point-of-care tests (CRP POCTs) in hospitals varies across Europe. We aimed to understand the factors that contribute to different levels of adoption of CRP POCTs for the management of acute childhood infections in two countries. METHODS: Comparative qualitative analysis of the implementation of CRP POCTs in the Netherlands and England. The study was informed by the non-adoption, abandonment, spread, scale-up, and sustainability (NASSS) framework. Data were collected through document analysis and qualitative interviews with stakeholders. Documents were identified by a scoping literature review, search of websites, and through the stakeholders. Stakeholders were sampled purposively initially, and then by snowballing. Data were analysed thematically. RESULTS: Forty-one documents resulted from the search and 46 interviews were conducted. Most hospital healthcare workers in the Netherlands were familiar with CRP POCTs as the tests were widely used and trusted in primary care. Moreover, although diagnostics were funded through similar Diagnosis Related Group reimbursement mechanisms in both countries, the actual funding for each hospital was more constrained in England. Compared to primary care, laboratory-based CRP tests were usually available in hospitals and their use was encouraged in both countries because they were cheaper. However, CRP POCTs were perceived as useful in some hospitals of the two countries in which the laboratory could not provide CRP measures 24/7 or within a short timeframe, and/or in emergency departments where expediting patient care was important. CONCLUSIONS: CRP POCTs are more available in hospitals in the Netherlands because of the greater familiarity of Dutch healthcare workers with the tests which are widely used in primary care in their country and because there are more funding constraints in England. However, most hospitals in the Netherlands and England have not adopted CRP POCTs because the alternative CRP measurements from the hospital laboratory are available in a few hours and at a lower cost.

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The study aims to investigate the last 20-year (2000-2019) of hospital length of stay (LOS) trends and their association with different healthcare systems (HS) among 25 European countries. A panel dataset was created using secondary data from Eurostat and Global Burden of Disease study databases, with dependent and control variables aggregated at the national level over a period of 20 years. A time trend analysis was conducted using a weighted least squares model for panel data to investigate the association between LOS, HS models [National Health Service (NHS), National Health Insurance, Social Health Insurance (SHI), and Etatist Social Health Insurance], healthcare reimbursement schemes [Prospective Global Budget (PGB), Diagnosis Related Groups (DRG), and Procedure Service Payment (PSP)], and control variables. The study showed a reduction of average LOS from 9.20 days in 2000 to 7.24 in 2019. SHI was associated with a lower LOS compared to NHS (b = - 0.6327, p < 0.05). Both DRG (b = 1.2399, p < 0.05) and PSP (b = 1.1677, p < 0.05) reimbursement models were positively associated with LOS compared to PGB. Our results confirmed the downward trend of LOS in the last 20 years, its multifactorial nature, and the influence of the SHI model of HS. This could be due to the financial incentives present in fee-for-service payment models and the role of competition in creating a market for healthcare services. These results offer insight into the factors influencing healthcare utilization and can inform the design of more effective, efficient, and sustainable HS.

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Since the beginning of the pandemic, hospitals have been central to the COVID-19 response, often experiencing severe financial, material, and human constraints. In this special issue, we present some of the findings of the HoSPiCOVID research project. One of its main objectives was to compare hospital responses to the first and second waves of the COVID-19 pandemic in Brazil, Canada, France, Japan, and Mali. Studying and comparing how nine different hospitals coped with the pandemic in terms of preparedness and response allowed us to: 1) identify strengths and weaknesses of their responses, including challenges for hospital professionals; and 2) produce lessons learned, using a systematic approach to reflect and analyze their potential of resilience to the crisis. In the five countries, research teams conducted in-depth qualitative studies focused on nine large hospitals, using observation sessions, semistructured interviews with hospital professionals, and lessons learned workshops. The empirical work was supported by an original analytical framework on hospital resilience and a heuristic tool focused on configurations. The studies demonstrate that the hospitals were able to absorb and/or adapt to the crisis by deploying different coping mechanisms, which often required extensive involvement of hospital professionals. More extended study periods would be needed to assess the sustainability of these coping mechanisms and discern whether they have transformative potential. These international comparisons of hospital resilience, based on studies of contrasting contexts and epidemiological situations, allowed researchers to identify lessons learned to support hospital decision-makers in thinking more deeply about managing future health crises.

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Introduction: In Scotland, prostate cancer services have struggled to meet demand, and urological cancer services have missed Scottish Government waiting time targets to a greater extent than other cancer services. This study provides understanding of the capacity development needs of a national prostate cancer service including why the service had been unable to adapt to meet demand and how capacity could be developed. Methods: Delphi technique was applied to a purposive sample of prostate cancer clinicians working across Scotland between 2015 and 2017. Interviews were conducted with healthcare professionals involved in delivery of care to people with prostate cancer including General Practitioners, followed by questionnaires which were distributed to Specialist Nurses, Oncologists and Urologists involved in delivering specialist prostate cancer services within NHS Scotland. Findings are reported from interviews analysed using a directed approach to content analysis, followed by three rounds of iterative online questionnaires analysed using descriptive statistics. Results: Reform is needed to meet demand within prostate cancer services in Scotland. Barriers to capacity development included: lack of shared understanding of quality of care between policy makers and healthcare professionals; lack of leadership of service developments nationally and regionally; and difficulties in drawing on other capacities to support the service. Cohesive working and a need for efficient training for nurse specialists were needed to develop capacity. Consensus was reached for development of national working groups to set standards for quality care (100% agreement) and further development of existing regional working groups (100% agreement) to implement this care (91% agreement), which should include input from primary and community care practitioners (100% agreement) to meet demand. Discussion: This work provides important understanding of barriers and facilitators to service development across a national service, including highlighting the importance of a shared vision for quality care between policy makers and healthcare professionals. Mechanisms to support service change are identified.

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In response to the disruptions caused by COVID-19, hospitals around the world proactively or reactively developed and/or re-organized their governance structures to manage the COVID-19 response. Hospitals' governance played a crucial role in their ability to reorganize and respond to the pressing needs of their staff. We discuss and compare six hospital cases from four countries on different continents: Brazil, Canada, France, and Japan. Our study examined how governance strategies (e.g., special task forces, communications management tools, etc.) were perceived by hospital staff. Key findings from a total of 177 qualitative interviews with diverse hospital stakeholders were analyzed using three categories drawn from the European Observatory on Health Systems and Policies framework on health systems resilience during the COVID-19 pandemic: 1) delivering a clear and timely COVID-19 response strategy; 2) coordinating effectively within (horizontally) and across (vertically) levels of decision-making; and 3) communicating clearly and transparently with the hospital's diverse stakeholders. Our study gleaned rich accounts for these three categories, highlighting significant variations across settings. These variations were primarily determined by the hospitals' environment prior to the COVID-19 crisis, namely whether there already existed a culture of managerial openness (including spaces for social interactions among hospital staff) and whether preparedness planning and training had been routinely integrated into their activities.

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BACKGROUND: The use of point of care (POC) tests varies across Europe, but research into what drives this variability is lacking. Focusing on CRP POC tests, we aimed to understand what factors contribute to high versus low adoption of the tests, and also to explore whether they are used in children. METHODS: We used a comparative qualitative case study approach to explore the implementation of CRP POC tests in the Netherlands and England. These countries were selected because although they have similar primary healthcare systems, the availability of CRP POC tests in General Practices is very different, being very high in the former and rare in the latter. The study design and analysis were informed by the non-adoption, abandonment, spread, scale-up and sustainability (NASSS) framework. Data were collected through a review of documents and interviews with stakeholders. Documents were identified through a scoping literature review, search of websites, and stakeholder recommendation. Stakeholders were selected purposively initially, and then by snowballing. Data were analysed thematically. RESULTS: Sixty-five documents were reviewed and 21 interviews were conducted. The difference in the availability of CRP POC tests is mainly because of differences at the wider national context level. In the two countries, early adopters of the tests advocated for their implementation through the generation of robust evidence and by engaging with all relevant stakeholders. This led to the inclusion of CRP POC tests in clinical guidelines in both countries. In the Netherlands, this mandated their reimbursement in accordance with Dutch regulations. Moreover, the prevailing better integration of health services enabled operational support from laboratories to GP practices. In England, the funding constraints of the National Health Service and the prioritization of alternative and less expensive antimicrobial stewardship interventions prevented the development of a reimbursement scheme. In addition, the lack of integration between health services limits the operational support to GP practices. In both countries, the availability of CRP POC tests for the management of children is a by-product of the test being available for adults. The tests are less used in children mainly because of concerns regarding their accuracy in this age-group. CONCLUSIONS: The engagement of early adopters combined with a more favourable and receptive macro level environment, including the role of clinical guidelines and their developers in determining which interventions are reimbursed and the operational support from laboratories to GP practices, led to the greater adoption of the tests in the Netherlands. In both countries, CRP POC tests, when available, are less used less in children. Organisations considering introducing POC tests into primary care settings need to consider how their implementation fits into the wider health system context to ensure achievable plans.

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Singapore's health system generates similar levels of health outcomes as does Sweden's but for only 4.4% rather than 11.0% of gross domestic product, with Singapore's resulting health sector savings being re-directed to help fund both long-term care and retirement pensions for its elderly citizens. This paper contrasts the framework of financial risk-sharing and the configuration and management of health service providers in these two high-income, small-population countries. Two main institutional distinctions emerge from this country case comparison: (1) Key differences exist in the practical configuration of solidarity for payment of health care services, reflecting differing cultural roots and social expectations, which in turn carry substantial implications for financing long-term care and pensions. (2) Differing arrangements exist in the organization of health service institutions, in particular balancing public as against private sector responsibilities for owning, operating and managing these two countries' respective hospitals. These different structural characteristics generate fundamental differences in health sector financial and delivery outcomes in one developed country in Far East Asia as compared with a well-respected tax-funded health system in Western Europe. In the post-COVID era, as Western European policymakers find themselves forced to adjust their publicly funded health systems to (further) reductions in economic growth rates and overall tax receipts, and as the cost of the information revolution continues to rise while efforts to fund better coordinated social and home care services for growing numbers of chronically ill elderly remain inadequate, this two-country case comparison highlights a series of health system design questions that could potentially provide alternative health sector financing and service delivery strategies.

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OBJECTIVE: To estimate health care systems' value in treating major illnesses for each US state and identify system characteristics associated with value. DATA SOURCES: Annual condition-specific death and incidence estimates for each US state from the Global Burden Disease 2019 Study and annual health care spending per person for each state from the National Health Expenditure Accounts. STUDY DESIGN: Using non-linear meta-stochastic frontier analysis, mortality incidence ratios for 136 major treatable illnesses were regressed separately on per capita health care spending and key covariates such as age, obesity, smoking, and educational attainment. State- and year-specific inefficiency estimates were extracted for each health condition and combined to create a single estimate of health care delivery system value for each US state for each year, 1991-2014. The association between changes in health care value and changes in 23 key health care system characteristics and state policies was measured. DATA COLLECTION/EXTRACTION METHODS: Not applicable. PRINCIPAL FINDINGS: US state with relatively high spending per person or relatively poor health-outcomes were shown to have low health care delivery system value. New Jersey, Maryland, Florida, Arizona, and New York attained the highest value scores in 2014 (81 [95% uncertainty interval 72-88], 80 [72-87], 80 [71-86], 77 [69-84], and 77 [66-85], respectively), after controlling for health care spending, age, obesity, smoking, physical activity, race, and educational attainment. Greater market concentration of hospitals and of insurers were associated with worse health care value (p-value ranging from <0.01 to 0.02). Higher hospital geographic density and use were also associated with worse health care value (p-value ranging from 0.03 to 0.05). Enrollment in Medicare Advantage HMOs was associated with better value, as was more generous Medicaid income eligibility (p-value 0.04 and 0.01). CONCLUSIONS: Substantial variation in the value of health care exists across states. Key health system characteristics such as market concentration and provider density were associated with value.

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In the 10 years since its founding, the Israel Journal of Health Policy Research has established itself as an important voice in Israeli and international health policy. The Journal's ability to combine national and international perspectives on key issues in health services delivery and health systems analysis has developed a valuable new arena for academic research about the increasingly complex post-COVID future of health care systems.

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OBJECTIVE: To compare countries' health care needs by segmenting populations into a set of needs-based health states. DATA SOURCES: We used seven waves of the Survey of Health, Aging and Retirement in Europe (SHARE) panel survey data. STUDY DESIGN: We developed the Cross-Country Simple Segmentation Tool (CCSST), a validated clinician-administered instrument for categorizing older individuals by distinct, homogeneous health and related social service needs. Using clinical indicators, self-reported physician diagnosis of chronic disease, and performance-based tests conducted during the survey interview, individuals were assigned to 1-5 global impressions (GI) segments and assessed for having any of the four identifiable complicating factors (CFs). We used Cox proportional hazard models to estimate the risk of mortality by segment. First, we show the segmentation cross-sectionally to assess cross-country differences in the fraction of individuals with different levels of medical needs. Second, we compare the differences in the rate at which individuals transition between those levels and death. DATA COLLECTION/EXTRACTION METHODS: We segmented 270,208 observations (from Austria, Belgium, Czech Republic, Denmark, France, Germany, Greece, Israel, Italy, the Netherlands, Poland, Spain, Sweden, and Switzerland) from 96,396 individuals into GI and CF categories. PRINCIPAL FINDINGS: The CCSST is a valid tool for segmenting populations into needs-based states, showing Switzerland with the lowest fraction of individuals in high medical needs segments, followed by Denmark and Sweden, and Poland with the highest fraction, followed by Italy and Israel. Comparing hazard ratios of transitioning between health states may help identify country-specific areas for analysis of ecological and cultural risk factors. CONCLUSIONS: The CCSST is an innovative tool for aggregate cross-country comparisons of both health needs and transitions between them. A cross-country comparison gives policy makers an effective means of comparing national health system performance and provides targeted guidance on how to identify strategies for curbing the rise of high-need, high-cost patients.

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This commentary on Rosen, Waitzberg, and Israeli's assessment of Israel's COVID response points to differences in the coherence of each national government's strategy as the key factor influencing the effectiveness of the vaccine drive. The strengths of the Israeli healthcare system facilitated implementation of the roll-out, but the government's unambiguous prioritization of vaccination drove implementation success.

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Although it is not generally done, it is useful to compare the history of the evolution of universal health coverage (UHC) in Canada and Sweden. The majority of citizens in both countries have shared, and continue to share, a commitment to a strong form of single-tier universality in the design of their respective UHC systems. In the postwar era, they also share a remarkably similar timeline in the emergence and entrenchment of single-tier UHC, despite the political and social differences between the two countries. At the same time, UHC was initially designed, implemented, and managed by social democratic governments that held power for long periods of time, creating a path dependency for single-tier Medicare that was difficult for future governments of different ideological persuasions to alter.

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Growing healthcare expenditure is a major concern for policy makers and calls for effective cost containment measures. For the decentralized Swiss healthcare system, ranking second among OECD countries in healthcare spending, a group of experts has proposed budgetary targets as key measure. In order to substantiate this proposal, we review the literature and analyse experiences with budgetary targets in comparable social health insurance systems, such as Germany and the Netherlands. Budgetary targets raise the cost responsibility and prompt providers to give greater weight to cost-benefit considerations. Our analysis suggests that the involvement of all principal healthcare players and clear decision-making and negotiating structures are key to successful implementation. Risks of rationing, lower quality incentives or conservation of structures have to be countered with taking into account age-related morbidity and medical progress when setting the budgetary targets. Accompanying measures such as incentive-compatible remuneration schemes and quality monitoring are of paramount importance.

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In the path to universal health coverage, policymakers discuss different alternative health system's financing schemes. Classical typologies have been posited, including models such as National Health Service, Social Health Insurance and Private Health Insurance. More recently, National Health Insurance (NHI) has been suggested as a separate model. Nevertheless, there are discrepancies regarding what defines an NHI model. The purpose of this article is to propose a comprehensive definition of an NHI model, aimed to disentangle the current discrepancies in the conceptualization and the scope of this type of arrangement. Based on the previous literature we identified some common characteristics across NHI definitions, namely universal coverage, pooling in a single fund and a purchasing function based on a single-payer financing mechanism. Areas of controversy were also identified. While some authors emphasized the importance of an effective separation between the purchaser and provider functions, others highlighted the relative importance of privately-owned provision to define a system like NHI-type. Based on empirical data, we suggest that the ownership is not a critical variable to distinguish an NHI from other models, and instead, suggest that a pivotal characteristic of the NHI is the single payer mechanism that is not integrated with the health providers.

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BACKGROUND: Countries rely on out-of-pocket (OOP) spending to different degrees and employ varying techniques. The article examines trends in OOP spending in ten high-income countries since 2000, and analyzes their relationship to self-assessed barriers to accessing health care services. The countries are Australia, Canada, France, Germany, the Netherlands, New Zealand, Norway, Sweden, Switzerland, the United Kingdom, and the United States. METHODS: Data from three sources are employed: OECD statistics, the Commonwealth Fund survey of individuals in each of ten countries, and country-specific documents on health care policies. Based on trends in OOP spending, we divide the ten countries into three groups and analyze both trends and access barriers accordingly. As part of this effort, we propose a conceptual model for understanding the key components of OOP spending. RESULTS: There is a great deal of variation in aggregate OOP spending per capita spending but there has been convergence over time, with the lowest-spending countries continuing to show growth and the highest spending countries showing stability. Both the level of aggregate OOP spending and changes in spending affect perceived access barriers, although there is not a perfect correspondence between the two. CONCLUSIONS: There is a need for better understanding the root causes of OOP spending. This will require data collection that is broken down into OOP resulting from cost sharing and OOP resulting from direct payments (due to underinsurance and lacking benefits). Moreover, data should be disaggregated by consumer groups (e.g. income-level or health status). Only then can we better link the data to specific policies and suggest effective solutions to policy makers.

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OBJECTIVE: To contribute to the current knowledge on how a broad range of services offered by general practitioners (GPs) may contribute to the patient perceived quality and, hence, the potential benefits of primary care. STUDY SETTING: Between 2011 and 2013, primary care data were collected among GPs and their patients in 31 European countries, plus Australia, Canada, and New Zealand. In these countries, GPs are the main providers of primary care, mostly specialized in family medicine and working in the ambulatory setting. STUDY DESIGN: In this cross-sectional study, questionnaires were completed by 7,183 GPs and 61,931 visiting patients. Moreover, 7,270 patients answered questions about what they find important (their values). In the analyses of patient experiences, we adjusted for patients' values in each country to measure patient perceived quality. Perceived quality was measured regarding five areas: accessibility and continuity of care, doctor-patient communication, patient involvement in decision making, and comprehensiveness of care. The range of GP services was measured in relation to four areas: (1) to what extent they are the first contact to the health care system for patients in need of care, (2) their involvement in treatment and follow-up of acute and chronic conditions, in other words treatment of diseases, (3) their involvement in minor technical procedures, and (4) their involvement in preventive treatments. EXTRACTION METHODS: Data of the patients were linked to the data of the GPs. Multilevel modeling was used to construct scale scores for the experiences of patients in the five areas of quality and the range of services of GPs. In these four-level models, items were nested within patients, nested in GP practices, nested in countries. The relationship between the range of services and the experiences of patients was analyzed in three-level multilevel models, also taking into account the values of patients. PRINCIPAL FINDINGS: In countries where GPs offer a broader range of services patients perceive better accessibility, continuity, and comprehensiveness of care, and more involvement in decision making. No associations were found between the range of services and the patient perceived communication with their GP. The range of GP services mostly explained the variation between countries in the areas of patient perceived accessibility and continuity of care. CONCLUSIONS: This study showed that in countries where GP practices serve as a "one-stop shop," patients perceive better quality of care, especially in the areas of accessibility and continuity of care. Therefore, primary care in a country is expected to benefit from investments in a broader range of services of GPs or other primary care physicians.

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Governments use fiscal rules to put a framework and limits on how budgetary challenges are addressed, but the rules themselves are still an understudied area among health policy scholars. For a long time, healthcare held a somewhat separate status because of the reliance on entitlements and dedicated revenue streams. However, the combined forces of advocates for integral decision-making, central budget control and the increasing costs might shift healthcare towards budgetary frameworks that currently apply to other spending categories. In this paper, we study fiscal rules that the US and the Netherlands have adopted since 2010 and their impact on healthcare policy. Our analysis shows that fiscal rules can have an impact on the rationing of healthcare. In the studied timeframe, the rules seem to have more impact on budget outcomes than on the budget process itself. In addition, the convergence of fiscal and program policy objectives seems to be better accomplished in a budgetary system that applies enforceable budget ceilings. Budgeting for health entitlements requires a comprehensive and tailor-made approach and the composition of traditional rules might not fully answer to the complexities of healthcare policy. This paper aims to contribute to that debate and the way we think about healthcare budgeting. Copyright © 2016 John Wiley & Sons, Ltd.

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To control ever-increasing costs, global budget payment has gained attention but has unclear impacts on health care systems. We propose the CAP framework that helps navigate 3 domains of difficult design choices in global budget payment: Constraints in resources (capitation vs facility-based budgeting; hard vs soft budget constraints), Agent-principal in resource allocation (individual vs group providers in resource allocation; single vs multiple pipes), and Price adjustment. We illustrate the framework with empirical examples and draw implications for policy makers.

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This paper hypothesized that democratic nations, as characterized by Polity IV Project regime scores, spend more on health care than autocratic nations and that the association reported here is independent of other demographic, health system or economic characteristics of nations. WHO Global Observatory data on 159 nations with roughly 98% of the world's population were examined. Regime scores had significant, direct and independent associations with each of four measures of health care expenditure. For every unit increment in a nation's regime score toward a more democratic authority structure of governance, we estimated significant (p<0.05) increments in the percent of GDP expended on health care (+0.14%), percent of general government expenditures targeted to health care (+0.25%), total per capita expenditures on health (+34.4Int$) and per capita general government expenditures (+22.4Int$), while controlling for a population's age distribution, life expectancy, health care workforce and system effectiveness and gross national income. Moreover, these relationships were found to persist across socio-economic development levels. The finding that practices of health care expenditure and authority structures of government co-vary is instructive about the politics of health and the challenges of advancing global health objectives.

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