Bridging borders: Current trends and future directions in comparative health systems research

IF 3.2 2区 医学 Q2 HEALTH CARE SCIENCES & SERVICES Health Services Research Pub Date : 2024-09-25 DOI:10.1111/1475-6773.14385
Nicholas Bowden PhD, Jose F. Figueroa MD, MPH, Irene Papanicolas PhD
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Recent challenges such as the COVID-19 pandemic, inflationary pressures, rising health-care costs globally, climate change, and decreasing life expectancy among several high-income countries<span><sup>2, 3</sup></span> have increased the importance and urgency of this work. Collaborative research efforts across disciplines and countries are therefore needed to identify focused solutions that health systems can apply to the challenges they currently face, and those that may arise in the future.</p><p>A range of entities have risen to meet this challenge by producing harmonized metrics and analyses from which to begin to answer these questions. These range from intergovernmental organizations such as the World Health Organization (WHO), the Organization for Economic Co-operation and Development (OECD), the World Bank, and the European Observatory on Health Systems and Policies to foundations including the Commonwealth Fund and the Health Foundation. However, academic organizations also have an important role to play in closing gaps in data collection, advancing methods and collaboration across disciplines and countries, and producing robust analyses to inform key policy questions.</p><p>In this editorial, we summarize the current state of cross-country comparison work at a high level, outline research gaps that remain, and discuss the contribution to this literature of research contained in this special section on international comparisons published in <i>Health Services Research</i>.</p><p>Efforts that contribute to comparative health systems research can be broadly grouped into measurement of health-related information — spearheaded by intergovernmental organizations — and health comparisons which are increasingly being led by key foundations and university-based institutes.</p><p>The current state of health measurement can be further categorized into three key areas: health outcomes, health inputs and expenditures, and health systems. Evidence-based insights that guide global health change require accurate measurement in each of these areas. The WHO plays a crucial role in outcome measurement through its Global Health Observatory, which includes the annual <i>World Health Statistics</i> report, compiling data on key health indicators, helping to monitor global health trends.<span><sup>4</sup></span> The Institute for Health Metrics and Evaluation (IHME) also significantly contributes by providing detailed metrics on disease burden, mortality, and risk factors, informing public health policies and resource allocation.<span><sup>5</sup></span></p><p>Measurement of health inputs and expenditures, essential for understanding the efficiency and sustainability of health systems, is driven by the World Bank, the WHO, and the OECD. For example, the WHO's <i>Global Health Expenditure Database</i> (GHED) offers comprehensive data on health expenditure by source and function, crucial for tracking financial flows in health systems.<span><sup>6</sup></span> Additionally, the <i>System of Health Accounts</i> (SHA), developed collaboratively by the WHO, the OECD, and the EU, provides an internationally standardized framework for compiling health expenditure data, ensuring consistency and comparability across countries.<span><sup>7</sup></span> The OECD's <i>Health Expenditure and Financing Database</i> further supports this by offering detailed data on health spending across its member countries.<span><sup>8</sup></span></p><p>Finally, health systems measurement is vital for identifying best practices and informing policy decisions. The OECD plays a pivotal role in this through its <i>Health at a Glance</i> series and the OECD Data Explorer, which offer comprehensive data on health-care quality, access, and expenditure across countries.<span><sup>9</sup></span> The WHO's <i>Health System Performance Assessment</i> frameworks help countries evaluate the efficiency, equity, and effectiveness of their health systems.<span><sup>10</sup></span> The European Observatory on Health Systems and Policies' <i>Health Systems in Transition</i> series provide in-depth analyses of health systems in Europe and other OECD countries, covering aspects like organization, financing, and service delivery, offering essential insights for policymakers aiming to improve health-care systems.<span><sup>11, 12</sup></span></p><p>Increasingly, key foundations and university-based entities contribute to this body of work through their specialization in cross-country comparison studies to help inform local narratives and policy change. For example, the Commonwealth Fund's international health policy surveys assess and compare health system performance across 10 countries,<span><sup>13, 14</sup></span> and reports such as <i>Mirror</i>, <i>Mirror on the Wall</i> offer detailed insights into comparative performance of the United States health system to other high-income countries.<span><sup>15</sup></span> The Health Foundation also plays a significant role through its examination of how the National Health Service compares with health systems in other countries, exploring differences in health-care spending, life expectancy, and health outcomes across countries.<span><sup>16, 17</sup></span></p><p>University-based research centers and collaboratives are also increasingly making contributions to comparative health systems research. The Observational Health Data Sciences and Informatics is an initiative that enhances international health comparison by harmonizing global observational health data and enabling large-scale, cross-country research.<span><sup>18</sup></span> Similarly, the European Collaboration of Healthcare Optimization, the Population Health Information Research Infrastructure, and Innovative, Non-invasive and Fully Acceptable Exploration Technologies are Europe-focused initiatives that collectively improve consistency and comparability of data and undertake a range of collaborative cross-country research.<span><sup>19-22</sup></span> More recently, international collaboratives that compare the United States with other high-income countries, including the International Health System Research Collaborative and the International Collaborative on Costs, Outcomes, and Needs in Care, have also emerged with their research focusing on evaluating differences in care trajectories of comparable high-need, high-cost patient subpopulations.<span><sup>23-29</sup></span></p><p>While significant advances in comparative health systems research have been made, a number of challenges and research gaps remain.<span><sup>30</sup></span> First is the ongoing challenge for standardized data collection methods and metrics. Despite significant advances, the lack of uniformity in data collection and measurement can still hinder the comparability of findings across countries and potentially exaggerate or obscure differences in health system performance that are more reflective of variations in measurement practices than actual performance disparities.<span><sup>1, 23, 30</sup></span></p><p>In addition, health systems remain poorly understood, with existing data providing only partial insights into their functioning and organization.<span><sup>31</sup></span> Most analyses focus on specific aspects like clinical care for subgroups of patients or technology cost-effectiveness, usually within a single country, making it difficult to gain a comprehensive understanding of entire systems. Moreover, the organization of care delivery varies significantly across countries and is influenced by both national and international organizations. To better analyze and compare health systems globally, we need a better framework and understanding of key differences in the organization of health systems across countries that can serve as a foundation for comparative health systems work. Significant progress is being made collecting necessary health system data including the new round of the OECD Health System Characteristics survey of 33 countries, and the European Observatory on Health Systems and Policies' Health Systems and Policy Monitor. As more data becomes available on health system structures, this framework could be used to help to describe and measure how these functions are implemented across different countries and to examine their relationship with health system performance.</p><p>There is also a pressing need for more longitudinal studies that explore variation of health systems and performance over time.<span><sup>1</sup></span> This has never been more important than in the context of the COVID-19 pandemic which revealed significant variations in health system preparedness, response strategies, and resulting health outcomes.<span><sup>32, 33</sup></span> A nuanced understanding of temporal variation in health system performance within and across countries is vital for enhancing future health system resilience and effectiveness. In particular, an increased focus on identifying whether certain types of health systems consistently outperform others in terms of resilience, sustainability, and overall performance is required. Understanding these patterns could provide valuable insights into designing more robust health systems that are better equipped to handle future challenges.</p><p>Lastly, more work should be undertaken to incorporate the social determinants of health into comparative analyses. Health systems do not operate in isolation; they are influenced by a range of social, economic, and environmental factors.<span><sup>34</sup></span> Integrating these determinants into health systems research provides a more holistic understanding of health outcomes and can inform more effective policy interventions. This is particularly relevant in the context of persistent and worsening global health inequities and the important role that social determinants of health can play in reducing these inequities.</p><p>The papers in this special section each make valuable contributions to these research gaps. Papanicolas et al.<span><sup>35</sup></span> offer important insights into a critical aspect of cross-country health comparison measurement by introducing a novel approach to deflating health expenditure and examining the dynamics of health price growth across the United States, Australia, Canada, France, and the Netherlands from 2000 to 2020. This research demonstrates the profound impact that different price indices can have on health expenditure analyses. The study reveals that the United States experienced the highest cumulative health price growth relative to general price growth. It also highlights that price growth for health services funded by public payers was generally higher than for those funded by households. The findings suggest that general price indices likely underestimate the contribution of health price growth to overall health expenditure increases and underlines the necessity for more accurate health-specific price indices to inform policy and better manage health expenditures across countries.</p><p>The paper by Kyriopoulos et al.<span><sup>36</sup></span> provides important insights in an important social determinant of health by investigating wealth-related disparities in self-reported health among older adults across 15 high-income countries. This study enhances our understanding of health determinants in cross-country comparisons, revealing substantial wealth-related health inequalities. Notably, the United States exhibits the highest levels of inequality compared with the European countries included in the study. These disparities persist over time and across different age groups. While the authors rightly conclude that the study underscores the importance of addressing socioeconomic disparities to enhance overall health outcomes and reduce health inequalities, it also serves as a strong example of the need to integrate social determinants of health into cross-country analyses.</p><p>The paper by Ledesma et al.<span><sup>37</sup></span> fills a crucial research gap by comparing how different global health systems managed disruptions in hospitalizations and ambulatory care during the COVID-19 pandemic. While prior research has often focused on single-country analyses or specific conditions, this study takes a broader approach, using time-series data from 26 countries to assess the scale and variability of disruptions across diverse health systems. The study finds that the pandemic was associated with significantly reduced non-COVID-19 hospitalizations, avoidable hospitalizations, and surgical procedures, with considerable cross-country variability. Factors such as workforce per capita, insurance coverage, and hospital beds were linked to fewer disruptions, whereas stricter COVID-19 measures and higher excess mortality were associated with greater disruptions. In the context of the social determinants of health a notable finding from the study is that higher-income inequality was linked to greater disruptions in surgical care. This study underscores the importance of health system preparedness and adaptability, offering critical insights for future policy planning to enhance resilience against global health crises.</p><p>Finally, Bowden et al.<span><sup>38</sup></span> present an international comparison of hospitalizations and emergency department (ED) visits related to mental health conditions across eight high-income countries before and during the COVID-19 pandemic. To date, there is limited evidence evaluating how high-income countries differ in the management of these populations when they present for care in acute care settings. The study highlights significant cross-country variations in acute mental health-care utilization, with the United States displaying the highest combined rates of hospitalizations and ED visits, while Finland exhibited the lowest. Importantly, the research identifies shifts in care settings during the pandemic, particularly in the US, where there was a notable increase in inpatient care and a corresponding decrease in ED visits. The study's utilization of time series data before and during the COVID-19 period, in addition to the examination of multiple care settings, serves an important contribution to exploring how system organization influences site of care.</p><p>The studies presented in this special section offer important contributions to the understanding of how different health systems respond to global challenges and disparities. They collectively demonstrate the power of comprehensive, cross-country analysis in uncovering significant variations in health outcomes and system resilience. These findings, derived from diverse data sources and methodologies, underscore the value of international collaboration and comparative research in health policy. The insights gained not only highlight areas of strengths and weaknesses within specific countries but also provide a roadmap for enhancing global health system preparedness and equity.</p><p>As we look ahead, leveraging these comparative approaches will be an important component of the research evidence to inform the design of policies that can more effectively address the complexities of global health. However, while opportunities to identify potential improvements in health systems exist, such research must be accompanied by a deeper understanding of the reasons behind differences. Data limitations must be considered in both the analysis and interpretation to ensure accuracy and relevance. One option that could be further explored is the use of Federated Data<span><sup>39</sup></span> and synthetic data generation<span><sup>40</sup></span> as key methodological approaches that may mitigate some of the key limitations that have been noted in this work. These approaches allow for data sharing and analysis across different jurisdictions that ensure measurement and methodological consistency while still preserving privacy and security of data. Finally, results from comparative research should be interpreted within the context of nuanced understandings of national policies, values, and priorities to ensure that they are meaningful and actionable.</p>","PeriodicalId":55065,"journal":{"name":"Health Services Research","volume":"59 6","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11622259/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Services Research","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1475-6773.14385","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
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Abstract

Over the last two decades, comparative health systems research has gained significant traction as policymakers and researchers seek to better understand how to improve the effectiveness and efficiency of health-care systems worldwide.1 While most studies undertaken to achieve these goals continue to be predominantly at the national or sub-national levels, the role and importance of cross-country comparison research is increasingly being acknowledged. Recent challenges such as the COVID-19 pandemic, inflationary pressures, rising health-care costs globally, climate change, and decreasing life expectancy among several high-income countries2, 3 have increased the importance and urgency of this work. Collaborative research efforts across disciplines and countries are therefore needed to identify focused solutions that health systems can apply to the challenges they currently face, and those that may arise in the future.

A range of entities have risen to meet this challenge by producing harmonized metrics and analyses from which to begin to answer these questions. These range from intergovernmental organizations such as the World Health Organization (WHO), the Organization for Economic Co-operation and Development (OECD), the World Bank, and the European Observatory on Health Systems and Policies to foundations including the Commonwealth Fund and the Health Foundation. However, academic organizations also have an important role to play in closing gaps in data collection, advancing methods and collaboration across disciplines and countries, and producing robust analyses to inform key policy questions.

In this editorial, we summarize the current state of cross-country comparison work at a high level, outline research gaps that remain, and discuss the contribution to this literature of research contained in this special section on international comparisons published in Health Services Research.

Efforts that contribute to comparative health systems research can be broadly grouped into measurement of health-related information — spearheaded by intergovernmental organizations — and health comparisons which are increasingly being led by key foundations and university-based institutes.

The current state of health measurement can be further categorized into three key areas: health outcomes, health inputs and expenditures, and health systems. Evidence-based insights that guide global health change require accurate measurement in each of these areas. The WHO plays a crucial role in outcome measurement through its Global Health Observatory, which includes the annual World Health Statistics report, compiling data on key health indicators, helping to monitor global health trends.4 The Institute for Health Metrics and Evaluation (IHME) also significantly contributes by providing detailed metrics on disease burden, mortality, and risk factors, informing public health policies and resource allocation.5

Measurement of health inputs and expenditures, essential for understanding the efficiency and sustainability of health systems, is driven by the World Bank, the WHO, and the OECD. For example, the WHO's Global Health Expenditure Database (GHED) offers comprehensive data on health expenditure by source and function, crucial for tracking financial flows in health systems.6 Additionally, the System of Health Accounts (SHA), developed collaboratively by the WHO, the OECD, and the EU, provides an internationally standardized framework for compiling health expenditure data, ensuring consistency and comparability across countries.7 The OECD's Health Expenditure and Financing Database further supports this by offering detailed data on health spending across its member countries.8

Finally, health systems measurement is vital for identifying best practices and informing policy decisions. The OECD plays a pivotal role in this through its Health at a Glance series and the OECD Data Explorer, which offer comprehensive data on health-care quality, access, and expenditure across countries.9 The WHO's Health System Performance Assessment frameworks help countries evaluate the efficiency, equity, and effectiveness of their health systems.10 The European Observatory on Health Systems and Policies' Health Systems in Transition series provide in-depth analyses of health systems in Europe and other OECD countries, covering aspects like organization, financing, and service delivery, offering essential insights for policymakers aiming to improve health-care systems.11, 12

Increasingly, key foundations and university-based entities contribute to this body of work through their specialization in cross-country comparison studies to help inform local narratives and policy change. For example, the Commonwealth Fund's international health policy surveys assess and compare health system performance across 10 countries,13, 14 and reports such as Mirror, Mirror on the Wall offer detailed insights into comparative performance of the United States health system to other high-income countries.15 The Health Foundation also plays a significant role through its examination of how the National Health Service compares with health systems in other countries, exploring differences in health-care spending, life expectancy, and health outcomes across countries.16, 17

University-based research centers and collaboratives are also increasingly making contributions to comparative health systems research. The Observational Health Data Sciences and Informatics is an initiative that enhances international health comparison by harmonizing global observational health data and enabling large-scale, cross-country research.18 Similarly, the European Collaboration of Healthcare Optimization, the Population Health Information Research Infrastructure, and Innovative, Non-invasive and Fully Acceptable Exploration Technologies are Europe-focused initiatives that collectively improve consistency and comparability of data and undertake a range of collaborative cross-country research.19-22 More recently, international collaboratives that compare the United States with other high-income countries, including the International Health System Research Collaborative and the International Collaborative on Costs, Outcomes, and Needs in Care, have also emerged with their research focusing on evaluating differences in care trajectories of comparable high-need, high-cost patient subpopulations.23-29

While significant advances in comparative health systems research have been made, a number of challenges and research gaps remain.30 First is the ongoing challenge for standardized data collection methods and metrics. Despite significant advances, the lack of uniformity in data collection and measurement can still hinder the comparability of findings across countries and potentially exaggerate or obscure differences in health system performance that are more reflective of variations in measurement practices than actual performance disparities.1, 23, 30

In addition, health systems remain poorly understood, with existing data providing only partial insights into their functioning and organization.31 Most analyses focus on specific aspects like clinical care for subgroups of patients or technology cost-effectiveness, usually within a single country, making it difficult to gain a comprehensive understanding of entire systems. Moreover, the organization of care delivery varies significantly across countries and is influenced by both national and international organizations. To better analyze and compare health systems globally, we need a better framework and understanding of key differences in the organization of health systems across countries that can serve as a foundation for comparative health systems work. Significant progress is being made collecting necessary health system data including the new round of the OECD Health System Characteristics survey of 33 countries, and the European Observatory on Health Systems and Policies' Health Systems and Policy Monitor. As more data becomes available on health system structures, this framework could be used to help to describe and measure how these functions are implemented across different countries and to examine their relationship with health system performance.

There is also a pressing need for more longitudinal studies that explore variation of health systems and performance over time.1 This has never been more important than in the context of the COVID-19 pandemic which revealed significant variations in health system preparedness, response strategies, and resulting health outcomes.32, 33 A nuanced understanding of temporal variation in health system performance within and across countries is vital for enhancing future health system resilience and effectiveness. In particular, an increased focus on identifying whether certain types of health systems consistently outperform others in terms of resilience, sustainability, and overall performance is required. Understanding these patterns could provide valuable insights into designing more robust health systems that are better equipped to handle future challenges.

Lastly, more work should be undertaken to incorporate the social determinants of health into comparative analyses. Health systems do not operate in isolation; they are influenced by a range of social, economic, and environmental factors.34 Integrating these determinants into health systems research provides a more holistic understanding of health outcomes and can inform more effective policy interventions. This is particularly relevant in the context of persistent and worsening global health inequities and the important role that social determinants of health can play in reducing these inequities.

The papers in this special section each make valuable contributions to these research gaps. Papanicolas et al.35 offer important insights into a critical aspect of cross-country health comparison measurement by introducing a novel approach to deflating health expenditure and examining the dynamics of health price growth across the United States, Australia, Canada, France, and the Netherlands from 2000 to 2020. This research demonstrates the profound impact that different price indices can have on health expenditure analyses. The study reveals that the United States experienced the highest cumulative health price growth relative to general price growth. It also highlights that price growth for health services funded by public payers was generally higher than for those funded by households. The findings suggest that general price indices likely underestimate the contribution of health price growth to overall health expenditure increases and underlines the necessity for more accurate health-specific price indices to inform policy and better manage health expenditures across countries.

The paper by Kyriopoulos et al.36 provides important insights in an important social determinant of health by investigating wealth-related disparities in self-reported health among older adults across 15 high-income countries. This study enhances our understanding of health determinants in cross-country comparisons, revealing substantial wealth-related health inequalities. Notably, the United States exhibits the highest levels of inequality compared with the European countries included in the study. These disparities persist over time and across different age groups. While the authors rightly conclude that the study underscores the importance of addressing socioeconomic disparities to enhance overall health outcomes and reduce health inequalities, it also serves as a strong example of the need to integrate social determinants of health into cross-country analyses.

The paper by Ledesma et al.37 fills a crucial research gap by comparing how different global health systems managed disruptions in hospitalizations and ambulatory care during the COVID-19 pandemic. While prior research has often focused on single-country analyses or specific conditions, this study takes a broader approach, using time-series data from 26 countries to assess the scale and variability of disruptions across diverse health systems. The study finds that the pandemic was associated with significantly reduced non-COVID-19 hospitalizations, avoidable hospitalizations, and surgical procedures, with considerable cross-country variability. Factors such as workforce per capita, insurance coverage, and hospital beds were linked to fewer disruptions, whereas stricter COVID-19 measures and higher excess mortality were associated with greater disruptions. In the context of the social determinants of health a notable finding from the study is that higher-income inequality was linked to greater disruptions in surgical care. This study underscores the importance of health system preparedness and adaptability, offering critical insights for future policy planning to enhance resilience against global health crises.

Finally, Bowden et al.38 present an international comparison of hospitalizations and emergency department (ED) visits related to mental health conditions across eight high-income countries before and during the COVID-19 pandemic. To date, there is limited evidence evaluating how high-income countries differ in the management of these populations when they present for care in acute care settings. The study highlights significant cross-country variations in acute mental health-care utilization, with the United States displaying the highest combined rates of hospitalizations and ED visits, while Finland exhibited the lowest. Importantly, the research identifies shifts in care settings during the pandemic, particularly in the US, where there was a notable increase in inpatient care and a corresponding decrease in ED visits. The study's utilization of time series data before and during the COVID-19 period, in addition to the examination of multiple care settings, serves an important contribution to exploring how system organization influences site of care.

The studies presented in this special section offer important contributions to the understanding of how different health systems respond to global challenges and disparities. They collectively demonstrate the power of comprehensive, cross-country analysis in uncovering significant variations in health outcomes and system resilience. These findings, derived from diverse data sources and methodologies, underscore the value of international collaboration and comparative research in health policy. The insights gained not only highlight areas of strengths and weaknesses within specific countries but also provide a roadmap for enhancing global health system preparedness and equity.

As we look ahead, leveraging these comparative approaches will be an important component of the research evidence to inform the design of policies that can more effectively address the complexities of global health. However, while opportunities to identify potential improvements in health systems exist, such research must be accompanied by a deeper understanding of the reasons behind differences. Data limitations must be considered in both the analysis and interpretation to ensure accuracy and relevance. One option that could be further explored is the use of Federated Data39 and synthetic data generation40 as key methodological approaches that may mitigate some of the key limitations that have been noted in this work. These approaches allow for data sharing and analysis across different jurisdictions that ensure measurement and methodological consistency while still preserving privacy and security of data. Finally, results from comparative research should be interpreted within the context of nuanced understandings of national policies, values, and priorities to ensure that they are meaningful and actionable.

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弥合边界:比较卫生系统研究的当前趋势和未来方向。
在过去的二十年中,随着决策者和研究人员寻求更好地了解如何提高全球卫生保健系统的有效性和效率,比较卫生系统研究获得了显著的吸引力虽然为实现这些目标而进行的大多数研究仍然主要是在国家或国家以下各级进行的,但跨国比较研究的作用和重要性正日益得到承认。最近的挑战,如COVID-19大流行、通货膨胀压力、全球卫生保健费用上升、气候变化以及一些高收入国家预期寿命下降等,都增加了这项工作的重要性和紧迫性。因此,需要跨学科和跨国家的合作研究努力,以确定卫生系统可以应用于其当前面临的挑战和未来可能出现的挑战的重点解决方案。为了应对这一挑战,一系列实体已经崛起,制定了统一的指标和分析,从中开始回答这些问题。这些机构包括世界卫生组织(世卫组织)、经济合作与发展组织(经合组织)、世界银行和欧洲卫生系统和政策观察站等政府间组织,以及英联邦基金和卫生基金会等基金会。然而,学术组织在缩小数据收集方面的差距、推进跨学科和跨国家的方法和合作以及为关键政策问题提供有力的分析方面也可以发挥重要作用。在这篇社论中,我们总结了高水平的跨国比较工作的现状,概述了仍然存在的研究差距,并讨论了在《卫生服务研究》上发表的关于国际比较的这一特殊章节中对这一研究文献的贡献。促进比较卫生系统研究的努力可大致分为卫生信息的衡量(由政府间组织带头)和卫生比较(日益由主要基金会和以大学为基础的研究所领导)。卫生测量的现状可进一步分为三个关键领域:卫生成果、卫生投入和支出以及卫生系统。指导全球卫生变化的基于证据的见解需要在这些领域中进行精确测量。3 .世卫组织通过其全球卫生观察站(包括年度《世界卫生统计》报告)在成果衡量方面发挥关键作用,收集关键卫生指标数据,帮助监测全球卫生趋势卫生计量与评价研究所(IHME)还通过提供有关疾病负担、死亡率和风险因素的详细计量,为公共卫生政策和资源分配提供信息,做出了重大贡献。5 .卫生投入和支出的衡量是了解卫生系统效率和可持续性的关键,由世界银行、世界卫生组织和经合组织推动。例如,世卫组织的全球卫生支出数据库(GHED)提供按来源和功能分列的卫生支出的全面数据,这对于跟踪卫生系统的资金流动至关重要此外,由世卫组织、经合组织和欧盟合作开发的卫生账户系统(SHA)为编制卫生支出数据提供了一个国际标准化框架,确保了各国之间的一致性和可比性经合组织的卫生支出和融资数据库通过提供其成员国卫生支出的详细数据进一步支持了这一点。8 .最后,卫生系统测量对于确定最佳做法和为决策提供信息至关重要。9 .经合组织通过其“健康一览”系列和经合组织数据探索者在这方面发挥了关键作用,这些数据提供了关于各国卫生保健质量、获取和支出的全面数据世卫组织的卫生系统绩效评估框架帮助各国评估其卫生系统的效率、公平性和有效性欧洲卫生系统和政策观察站的《转型中的卫生系统》系列对欧洲和其他经合组织国家的卫生系统进行了深入分析,涵盖组织、融资和服务提供等方面,为旨在改善卫生保健系统的决策者提供了重要见解。11,12越来越多的关键基金会和大学实体通过他们在跨国比较研究方面的专业知识为这一工作体系做出贡献,以帮助为当地叙述和政策变化提供信息。 例如,英联邦基金的国际卫生政策调查评估和比较了10个国家、13、14的卫生系统绩效,《镜子》、《墙上的镜子》等报告提供了美国卫生系统与其他高收入国家比较绩效的详细见解英国健康基金会还通过研究英国国家医疗服务体系与其他国家医疗体系的比较,探索各国在医疗支出、预期寿命和健康结果方面的差异,发挥了重要作用。16,17以大学为基础的研究中心和合作机构也越来越多地为比较卫生系统研究作出贡献。18 .观察性卫生数据科学和信息学是一项倡议,通过协调全球观察性卫生数据和开展大规模跨国研究,加强国际卫生比较同样,欧洲医疗保健优化合作、人口健康信息研究基础设施和创新、非侵入性和完全可接受的勘探技术都是以欧洲为重点的举措,它们共同提高了数据的一致性和可比性,并开展了一系列跨国合作研究。19-22最近,将美国与其他高收入国家进行比较的国际合作组织,包括国际卫生系统研究合作组织和国际护理成本、结果和需求合作组织,也出现了他们的研究重点是评估可比高需求、高成本患者亚群的护理轨迹差异。23-29虽然在比较卫生系统研究方面取得了重大进展,但仍然存在一些挑战和研究差距首先是对标准化数据收集方法和指标的持续挑战。尽管取得了重大进展,但数据收集和测量方面缺乏一致性仍可能阻碍各国研究结果的可比性,并可能夸大或掩盖卫生系统绩效的差异,这些差异更多地反映了衡量做法的差异,而不是实际绩效差异。1,23,30此外,对卫生系统的了解仍然很少,现有的数据只能提供对其功能和组织的部分见解大多数分析侧重于特定方面,如对患者亚组的临床护理或技术成本效益,通常在一个国家内进行,因此很难全面了解整个系统。此外,各国提供保健服务的组织差异很大,并受到国家和国际组织的影响。为了更好地分析和比较全球卫生系统,我们需要一个更好的框架,并了解各国卫生系统组织的主要差异,这可以作为比较卫生系统工作的基础。收集必要的卫生系统数据正在取得重大进展,包括对33个国家进行的新一轮经合组织卫生系统特征调查,以及欧洲卫生系统和政策观察站的卫生系统和政策监测。随着有关卫生系统结构的数据越来越多,该框架可用于帮助描述和衡量这些职能在不同国家的实施情况,并检查它们与卫生系统绩效的关系。还迫切需要进行更多的纵向研究,以探索卫生系统和绩效随时间的变化在COVID-19大流行的背景下,这一点从未像现在这样重要,它揭示了卫生系统防范、应对战略和由此产生的卫生结果方面的重大差异。32,33细致入微地了解国家内部和国家之间卫生系统绩效的时间差异,对于加强未来卫生系统的复原力和有效性至关重要。特别是,需要更加注重确定某些类型的卫生系统在复原力、可持续性和总体绩效方面是否始终优于其他系统。了解这些模式可以为设计更强大的卫生系统提供有价值的见解,从而更好地应对未来的挑战。最后,应开展更多工作,将健康的社会决定因素纳入比较分析。卫生系统并非孤立运作;他们受到一系列社会、经济和环境因素的影响将这些决定因素纳入卫生系统研究,可以更全面地了解卫生结果,并为更有效的政策干预提供信息。 在全球卫生不平等现象持续存在且日益恶化的背景下,以及健康的社会决定因素在减少这些不平等现象方面可以发挥的重要作用,这一点尤为重要。本专题的论文对这些研究空白都做出了宝贵的贡献。Papanicolas等人35通过引入一种新的方法来减少卫生支出,并检查2000年至2020年美国、澳大利亚、加拿大、法国和荷兰卫生价格增长的动态,为跨国卫生比较测量的一个关键方面提供了重要的见解。本研究证明了不同价格指数对卫生支出分析的深远影响。研究表明,相对于总体价格增长,美国经历了最高的累计医疗价格增长。报告还强调,由公共付款人资助的保健服务的价格增长通常高于由家庭资助的保健服务。研究结果表明,一般价格指数可能低估了卫生价格增长对总体卫生支出增长的贡献,并强调需要更准确的卫生特定价格指数,以便为各国的政策提供信息并更好地管理卫生支出。Kyriopoulos等人的论文36通过调查15个高收入国家老年人自我报告健康状况中与财富相关的差异,为健康的一个重要社会决定因素提供了重要见解。这项研究增强了我们对跨国比较中健康决定因素的理解,揭示了与财富相关的重大健康不平等。值得注意的是,与研究中包括的欧洲国家相比,美国的不平等程度最高。随着时间的推移,这些差异在不同的年龄组中持续存在。虽然作者正确地得出结论,该研究强调了解决社会经济差异对提高总体健康结果和减少健康不平等的重要性,但它也作为一个强有力的例子,说明需要将健康的社会决定因素纳入跨国分析。Ledesma等人的论文通过比较不同的全球卫生系统如何在COVID-19大流行期间管理住院和门诊护理中断,填补了一个关键的研究空白。虽然以前的研究往往侧重于单个国家的分析或具体情况,但本研究采用了更广泛的方法,使用来自26个国家的时间序列数据来评估不同卫生系统中中断的规模和可变性。该研究发现,大流行与非covid -19住院、可避免住院和外科手术的显著减少有关,且存在相当大的跨国差异。人均劳动力、保险覆盖率和医院床位等因素与中断减少有关,而更严格的COVID-19措施和更高的超额死亡率与更大的中断有关。在健康的社会决定因素的背景下,这项研究的一个显著发现是,收入不平等程度越高,手术护理的中断程度越高。这项研究强调了卫生系统准备和适应性的重要性,为未来的政策规划提供了重要见解,以加强对全球卫生危机的抵御能力。最后,Bowden等人38对8个高收入国家在COVID-19大流行之前和期间与精神健康状况相关的住院和急诊(ED)就诊情况进行了国际比较。迄今为止,评估高收入国家在这些人群到急症护理机构就诊时对他们的管理有何不同的证据有限。该研究强调了急性精神保健利用方面的重大跨国差异,美国的住院率和急诊科就诊率最高,而芬兰最低。重要的是,该研究确定了大流行期间护理环境的变化,特别是在美国,住院治疗显著增加,急诊科就诊次数相应减少。该研究利用了COVID-19之前和期间的时间序列数据,以及对多个护理环境的检查,为探索系统组织如何影响护理地点做出了重要贡献。本专题介绍的研究对理解不同卫生系统如何应对全球挑战和差异作出了重要贡献。它们共同展示了全面的跨国分析在揭示卫生结果和系统复原力方面的重大差异方面的力量。这些研究结果来自不同的数据来源和方法,强调了国际合作和卫生政策比较研究的价值。 获得的见解不仅突出了具体国家的优势和劣势领域,而且还提供了加强全球卫生系统准备和公平的路线图。展望未来,利用这些比较方法将成为研究证据的一个重要组成部分,为能够更有效地处理全球卫生复杂性的政策设计提供信息。然而,虽然有机会确定卫生系统的潜在改进,但这种研究必须伴随着对差异背后原因的更深入理解。在分析和解释中必须考虑数据限制,以确保准确性和相关性。可以进一步探索的一个选项是使用Federated Data39和合成数据生成40作为关键的方法方法,这可能会减轻本文中注意到的一些关键限制。这些方法允许跨不同司法管辖区的数据共享和分析,确保测量和方法的一致性,同时仍然保护数据的隐私和安全。最后,比较研究的结果应该在对国家政策、价值观和优先事项的细微理解的背景下进行解释,以确保它们是有意义和可操作的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Health Services Research
Health Services Research 医学-卫生保健
CiteScore
4.80
自引率
5.90%
发文量
193
审稿时长
4-8 weeks
期刊介绍: Health Services Research (HSR) is a peer-reviewed scholarly journal that provides researchers and public and private policymakers with the latest research findings, methods, and concepts related to the financing, organization, delivery, evaluation, and outcomes of health services. Rated as one of the top journals in the fields of health policy and services and health care administration, HSR publishes outstanding articles reporting the findings of original investigations that expand knowledge and understanding of the wide-ranging field of health care and that will help to improve the health of individuals and communities.
期刊最新文献
Examining the Potential Role of Opioid Settlement Funds in the Face of Impending Federal Budget Reductions for Substance Use Disorders. Year 1 Impact of Offering Non-Emergency Medical Transportation on Care Utilization Among Low-Income and Disabled Beneficiaries in Medicare Advantage. Mind the Activation Gap: Factors Associated With Low Patient Activation Among Dual-Eligible Versus Medicare-Only Beneficiaries. Identifying Bariatric Surgery Patients With the Most Favorable Cost Outcomes. A Machine Learning Model to Improve Risk Adjustment Accuracy in Medicare.
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