100+ datasets found
  1. Ranking of health and health systems of countries worldwide in 2023

    • statista.com
    Updated Sep 24, 2024
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    Statista (2024). Ranking of health and health systems of countries worldwide in 2023 [Dataset]. https://www.statista.com/statistics/1376359/health-and-health-system-ranking-of-countries-worldwide/
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    Dataset updated
    Sep 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2023, Singapore dominated the ranking of the world's health and health systems, followed by Japan and South Korea. The health index score is calculated by evaluating various indicators that assess the health of the population, and access to the services required to sustain good health, including health outcomes, health systems, sickness and risk factors, and mortality rates. The health and health system index score of the top ten countries with the best healthcare system in the world ranged between 82 and 86.9, measured on a scale of zero to 100.

    Global Health Security Index  Numerous health and health system indexes have been developed to assess various attributes and aspects of a nation's healthcare system. One such measure is the Global Health Security (GHS) index. This index evaluates the ability of 195 nations to identify, assess, and mitigate biological hazards in addition to political and socioeconomic concerns, the quality of their healthcare systems, and their compliance with international finance and standards. In 2021, the United States was ranked at the top of the GHS index, but due to multiple reasons, the U.S. government failed to effectively manage the COVID-19 pandemic. The GHS Index evaluates capability and identifies preparation gaps; nevertheless, it cannot predict a nation's resource allocation in case of a public health emergency.

    Universal Health Coverage Index  Another health index that is used globally by the members of the United Nations (UN) is the universal health care (UHC) service coverage index. The UHC index monitors the country's progress related to the sustainable developmental goal (SDG) number three. The UHC service coverage index tracks 14 indicators related to reproductive, maternal, newborn, and child health, infectious diseases, non-communicable diseases, service capacity, and access to care. The main target of universal health coverage is to ensure that no one is denied access to essential medical services due to financial hardships. In 2021, the UHC index scores ranged from as low as 21 to a high score of 91 across 194 countries. 

  2. Health care systems ranking of countries worldwide in 2023, by score

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Health care systems ranking of countries worldwide in 2023, by score [Dataset]. https://www.statista.com/statistics/1376344/care-systems-ranking-of-countries-worldwide/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2023, the health care system in Finland ranked first with a care index score of ****, followed by Belgium and Japan. Care systems index score is measured using multiple indicators from various public databases, it evaluates the capacity of a health system to treat and cure diseases and illnesses, once it is detected in the population This statistic shows the care systems ranking of countries worldwide in 2023, by their index score.

  3. Health care outcomes ranking of 11 select countries' health care systems...

    • statista.com
    Updated Dec 11, 2023
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    Statista (2023). Health care outcomes ranking of 11 select countries' health care systems 2021 [Dataset]. https://www.statista.com/statistics/1290458/health-care-system-health-outcomes-ranking-of-select-countries/
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    Dataset updated
    Dec 11, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Worldwide
    Description

    According to a 2021 health care systems ranking among selected high-income countries, the United States came last in the overall ranking of its health care system performance. The overall ranking was based on five performance categories, including access to care, care process, administrative efficiency, equity, and health care outcomes. For the category health care outcomes, which takes into account health outcomes most likely to be responsive to health care, the U.S. was ranked last, while Australia took first place. Outcomes such as infant mortality or preventable mortality were included. This statistic present the health care outcomes rankings of the United States' health care system compared to ten other high-income countries in 2021.

  4. G

    Hospital beds per 1,000 people by country, around the world |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 23, 2021
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    Globalen LLC (2021). Hospital beds per 1,000 people by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/hospital_beds_per_1000_people/
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    xml, csv, excelAvailable download formats
    Dataset updated
    Jan 23, 2021
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2021
    Area covered
    World
    Description

    The average for 2020 based on 36 countries was 4.44 hospital beds. The highest value was in South Korea: 12.65 hospital beds and the lowest value was in Mexico: 0.99 hospital beds. The indicator is available from 1960 to 2021. Below is a chart for all countries where data are available.

  5. Health ranking of European countries in 2023, by health index score

    • statista.com
    Updated Sep 16, 2024
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    Statista (2024). Health ranking of European countries in 2023, by health index score [Dataset]. https://www.statista.com/statistics/1376355/health-index-of-countries-in-europe/
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    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Europe
    Description

    In 2023, Norway ranked first with a health index score of 83, followed by Iceland and Sweden. The health index score is calculated by evaluating various indicators that assess the health of the population, and access to the services required to sustain good health, including health outcomes, health systems, sickness and risk factors, and mortality rates. The statistic shows the health and health systems ranking of European countries in 2023, by their health index score.

  6. G

    Hospital beds by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 11, 2021
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    Globalen LLC (2021). Hospital beds by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/hospital_beds/
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    excel, xml, csvAvailable download formats
    Dataset updated
    Jan 11, 2021
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2021
    Area covered
    World, World
    Description

    The average for 2020 based on 36 countries was 356986 hospital beds. The highest value was in China: 7131200 hospital beds and the lowest value was in Iceland: 1039 hospital beds. The indicator is available from 1960 to 2021. Below is a chart for all countries where data are available.

  7. f

    Table_1_Patient Readiness for Remote Healthcare Services in the Context of...

    • frontiersin.figshare.com
    xlsx
    Updated Jun 2, 2023
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    Marta Borda; Natalia Grishchenko; Patrycja Kowalczyk-Rólczyńska (2023). Table_1_Patient Readiness for Remote Healthcare Services in the Context of the COVID-19 Pandemic: Evidence From European Countries.XLSX [Dataset]. http://doi.org/10.3389/fpubh.2022.846641.s001
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    xlsxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Frontiers
    Authors
    Marta Borda; Natalia Grishchenko; Patrycja Kowalczyk-Rólczyńska
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Despite the fact that remote services were successfully implemented in most European social and health systems before 2020, the COVID-19 pandemic has led to an unprecedented development of health and social care services provided in this form. This paper compares the readiness of patients to use the digital solutions in healthcare systems implemented in EU countries, in response to the current pandemic situation. In the study, technological, health insurance, and demographic variables were selected on the basis of substantive criteria. Next, the linear ordering method was applied to make a ranking of the analyzed countries according to the level of patients' readiness to use digital healthcare services. The main findings show that the Netherlands and Ireland are characterized by the highest level of patients' readiness for using remote healthcare services. On the other hand, Romania and Bulgaria are among the countries with the lowest readiness. The study also made it possible to group European countries according to the level of patients' preparedness.

  8. Biggest U.S. hospitals based on their number of beds 2024

    • ai-chatbox.pro
    • statista.com
    Updated May 22, 2025
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    Statista (2025). Biggest U.S. hospitals based on their number of beds 2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F245024%2Ftop-us-non-profit-hospitals-based-on-the-number-of-beds%2F%23XgboD02vawLKoDs%2BT%2BQLIV8B6B4Q9itA
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    Dataset updated
    May 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    AdventHealth Orlando in Florida stands as the largest hospital in the United States, boasting an impressive 2,247 beds as of August 2024. This expansive facility exemplifies the scale of modern healthcare infrastructure, with Jackson Memorial Hospital, also in Florida, following as the second-largest. Evolving landscape of U.S. hospitals Despite the decline in the total number of hospitals since 1980, the healthcare sector continues to grow in other ways. U.S. hospitals now employ about 7.5 million workers and generate a gross output of around 1,161 billion U.S. dollars. The Hospital Corporation of America, based in Nashville, Tennessee, leads the pack as the largest health system in the country, operating 222 hospitals as of February 2025. This reflects a trend towards consolidation and the rise of for-profit hospital chains, which gained prominence in the 1990s. Specialization and emergency care While bed count is one measure of hospital size, institutions also distinguish themselves through specialization and emergency care capabilities. For instance, the University of California at Los Angeles Medical Center performed 22,287 organ transplants between January 1988 and March 2025, making it the leading transplant center in the nation. In terms of emergency care, Parkland Health and Hospital System in Dallas recorded the highest number of emergency department visits in 2022, with 226,178 patients seeking urgent care.

  9. Number of hospitals in Russia 2010-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jun 27, 2025
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    Statista (2025). Number of hospitals in Russia 2010-2023 [Dataset]. https://www.statista.com/statistics/912219/number-of-hospitals-in-russia/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Russia
    Description

    In 2023, there were 5,177 hospital organizations operating in Russia, reflecting a slight increase from the previous year. This marks a decrease of 1,131 hospitals compared to 2010, highlighting a continuous decline from the peak of 6,343 hospitals in 2011. The number of hospitals has fluctuated over the years, with the lowest count recorded in 2021 at 5,072. Hospital bed density in Russia The density of hospital beds in Russia, measured as the number of beds per 10,000 population, saw a decrease in recent years and reached 77.5 in 2023. In fact, Russia has one of the highest hospital bed densities worldwide, ranking above other Central and Eastern European (CEE) countries. Russian health care in a global context In 2024, Russia ranked 14th among the countries with the best medical infrastructure and healthcare professionals (HCPs) with an index score exceeding that of Germany and Canada. Moreover, Russia ranked 14th in terms of medicine affordability and availability.

  10. Hospitals in Latin America 2024, by country

    • statista.com
    • ai-chatbox.pro
    Updated Jul 11, 2025
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    Statista (2025). Hospitals in Latin America 2024, by country [Dataset]. https://www.statista.com/statistics/801867/number-hospitals-latam/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Americas, Latin America, LAC
    Description

    With over ***** medical centers, Brazil was the Latin American country with the highest number of hospitals in 2024, among the countries depicted. Mexico ranked second, with ***** hospitals. In 2022, Hospital Israelita Albert Einstein was the leading hospital by quality in the South American country. Healthcare spending With an estimated ** percent of its gross domestic product (GDP) being spent on health, Cuba was the nation with the highest health expenditure share in Latin America and the Caribbean in 2020. Ranking second in this ranking along with Argentina, Brazil’s government spent more than ** percent of its annual health expenditure on hospital and outpatient care. Meanwhile, in Chile, government spending on healthcare was, on average, about ***** U.S. dollars per person in 2021, which was more than the combined health expenditure from government and out-of-pocket spending in Mexico. Leading medical technology Including products such as diagnostic imaging, implants, and vaccines, nanomedicine has by far been Latin America’s most valuable medical technology, generating an estimated ***** billion U.S. dollars in 2022. Furthermore, the revenue of nanomedicine in the region is expected to reach ***** billion U.S. dollars by 2027, representing an increase of more than ** percent over a span of five years.More information by Global Health Intelligence on hospital infrastructure in various Latin American countries can be found here.

  11. Number of Hospital

    • nationmaster.com
    Updated Jul 30, 2020
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    NationMaster (2020). Number of Hospital [Dataset]. https://www.nationmaster.com/nmx/ranking/number-of-hospital
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    Dataset updated
    Jul 30, 2020
    Dataset authored and provided by
    NationMaster
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Time period covered
    1980 - 2019
    Area covered
    Spain, South Korea, Poland, United States, Belgium, New Zealand, Canada, United Kingdom, Turkey, Luxembourg
    Description

    South Korea Number of Hospital was up 3.5% in 2019, compared to the previous year.

  12. G

    Health spending as percent of GDP by country, around the world |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Mar 27, 2014
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    Globalen LLC (2014). Health spending as percent of GDP by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/health_spending_as_percent_of_gdp/
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    excel, csv, xmlAvailable download formats
    Dataset updated
    Mar 27, 2014
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2000 - Dec 31, 2022
    Area covered
    World, World
    Description

    The average for 2021 based on 181 countries was 7.21 percent. The highest value was in Afghanistan: 21.83 percent and the lowest value was in Brunei: 2.2 percent. The indicator is available from 2000 to 2022. Below is a chart for all countries where data are available.

  13. f

    Data_Sheet_1_Evaluation of health system resilience in 60 countries based on...

    • frontiersin.figshare.com
    • figshare.com
    docx
    Updated Jun 20, 2023
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    Laijun Zhao; Yajun Jin; Lixin Zhou; Pingle Yang; Ying Qian; Xiaoyan Huang; Mengmeng Min (2023). Data_Sheet_1_Evaluation of health system resilience in 60 countries based on their responses to COVID-19.docx [Dataset]. http://doi.org/10.3389/fpubh.2022.1081068.s001
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    docxAvailable download formats
    Dataset updated
    Jun 20, 2023
    Dataset provided by
    Frontiers
    Authors
    Laijun Zhao; Yajun Jin; Lixin Zhou; Pingle Yang; Ying Qian; Xiaoyan Huang; Mengmeng Min
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionIn 2020, the COVID-19 epidemic swept the world, and many national health systems faced serious challenges. To improve future public health responses, it's necessary to evaluate the performance of each country's health system.MethodsWe developed a resilience evaluation system for national health systems based on their responses to COVID-19 using four resilience dimensions: government governance and prevention, health financing, health service provision, and health workers. We determined the weight of each index by combining the three-scale and entropy-weight methods. Then, based on data from 2020, we used the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to rank the health system resilience of 60 countries, and then used hierarchical clustering to classify countries into groups based on their resilience level. Finally, we analyzed the causes of differences among countries in their resilience based on the four resilience dimensions.ResultsSwitzerland, Japan, Germany, Australia, South Korea, Canada, New Zealand, Finland, the United States, and the United Kingdom had the highest health system resilience in 2020. Eritrea, Nigeria, Libya, Tanzania, Burundi, Mozambique, Republic of the Niger, Benin, Côte d'Ivoire, and Guinea had the lowest resilience.DiscussionGovernment governance and prevention of COVID-19 will greatly affect a country's success in fighting future epidemics, which will depend on a government's emergency preparedness, stringency (a measure of the number and rigor of the measures taken), and testing capability. Given the lack of vaccines or specific drug treatments during the early stages of the 2020 epidemic, social distancing and wearing masks were the main defenses against COVID-19. Cuts in health financing had direct and difficult to reverse effects on health systems. In terms of health service provision, the number of hospitals and intensive care unit beds played a key role in COVID-19 clinical care. Resilient health systems were able to cope more effectively with the impact of COVID-19, provide stronger protection for citizens, and mitigate the impacts of COVID-19. Our evaluation based on data from 60 countries around the world showed that increasing health system resilience will improve responses to future public health emergencies.

  14. f

    Dominance analysis rankings service coverage indicators based as predictors...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Michael Reid; Reena Gupta; Glenna Roberts; Eric Goosby; Paul Wesson (2023). Dominance analysis rankings service coverage indicators based as predictors of UHC SCI score, stratified by World Bank country ranking. [Dataset]. http://doi.org/10.1371/journal.pone.0229666.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Michael Reid; Reena Gupta; Glenna Roberts; Eric Goosby; Paul Wesson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dominance analysis rankings service coverage indicators based as predictors of UHC SCI score, stratified by World Bank country ranking.

  15. f

    Kendall’s rank correlation (n = 181).

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
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    Dominika Pszczółkowska; Sara Bojarczuk; Maciej Duszczyk; Kamil Matuszczyk; Emilia Szyszkowska (2024). Kendall’s rank correlation (n = 181). [Dataset]. http://doi.org/10.1371/journal.pone.0301757.t002
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    xlsAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Dominika Pszczółkowska; Sara Bojarczuk; Maciej Duszczyk; Kamil Matuszczyk; Emilia Szyszkowska
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Covid-19 has challenged health systems around the world and increased the global competition for medical professionals. This article investigates if the pandemic and its management became an important push factor influencing the migration intentions of medical students and junior doctors and how this factor compared in importance to others. A mixed methods study–a survey and in-depth interviews–was conducted with final-year students at public medical universities in Poland, a country already suffering from a significant emigration of medical staff. The research demonstrated that the difficulties of the Polish healthcare system in dealing with Covid-19 were a factor that slightly positively influenced the emigration intentions of medical students and junior doctors. Nevertheless, the pandemic’s influence was not decisive. Factors such as the socio-political situation in Poland (.440**) (including hate speech directed at doctors by politicians and patients), the participants’ family situation (.397**), healthcare system organization (.376**), or the opportunity of pursuing a planned career path (.368**) proved more influential. Salary is still important but did not turn out to be among the decisive factors. This allows us to conclude that migration decisions of medical students have a very well-established basis that does not fundamentally change even under the influence of such dramatic situations as the pandemic. This conclusion has important implications for healthcare management and the ongoing discussion in migration studies on the evolution of push and pull factors in place and time.

  16. f

    Prioritizing Countries for Interventions to Reduce Child Mortality: Tools...

    • plos.figshare.com
    xlsx
    Updated May 30, 2023
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    Alastair I. Matheson; Lisa E. Manhart; Patricia B. Pavlinac; Arianna R. Means; Adam Akullian; Gillian A. Levine; Julie Jacobson; Erin Shutes; Judd L. Walson (2023). Prioritizing Countries for Interventions to Reduce Child Mortality: Tools for Maximizing the Impact of Mass Drug Administration of Azithromycin [Dataset]. http://doi.org/10.1371/journal.pone.0096658
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    xlsxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Alastair I. Matheson; Lisa E. Manhart; Patricia B. Pavlinac; Arianna R. Means; Adam Akullian; Gillian A. Levine; Julie Jacobson; Erin Shutes; Judd L. Walson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundAs new interventions to reduce childhood mortality are identified, careful consideration must be given to identifying populations that could benefit most from them. Promising reductions in childhood mortality reported in a large cluster randomized trial of mass drug administration (MDA) of azithromycin (AZM) prompted the development of visually compelling, easy-to-use tools that synthesize country-specific data on factors that would influence both potential AZM benefit and MDA implementation success.Methodology/Principal FindingsWe assessed the opportunity to reduce mortality and the feasibility of implementing such a program, creating Opportunity and Feasibility Indices, respectively. Countries with high childhood mortality were included. A Country Ranking Index combined key variables from the previous two Indices and applied a scoring system to identify high-priority countries. We compared four scenarios with varying weights given to each variable.Twenty-five countries met inclusion criteria. We created easily visualized tools to display the results of the Opportunity and Feasibility Indices. The Opportunity Index revealed substantial variation in the opportunity for an MDA of AZM program to reduce mortality, even among countries with high overall childhood mortality. The Feasibility Index demonstrated that implementing such a program would be most challenging in the countries that could see greatest benefit. Based on the Country Ranking Index, Equatorial Guinea would benefit the most from the MZA of AZM in three of the four scenarios we tested.Conclusions/SignificanceThese visually accessible tools can be adapted or refined to include other metrics deemed important by stakeholders, and provide a quantitative approach to prioritization for intervention implementation. The need to explicitly state metrics and their weighting encourages thoughtful and transparent decision making. The objective and data-driven approach promoted by the three Indices may foster more efficient use of resources.

  17. Multilevel logistic regression model for determinants of dental care...

    • plos.figshare.com
    xls
    Updated Jun 9, 2023
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    Nóra Kovács; Orsolya Liska; Enoabasi Omonigho Idara-Umoren; Nour Mahrouseh; Orsolya Varga (2023). Multilevel logistic regression model for determinants of dental care attendance, medical care attendance and hospitalization. [Dataset]. http://doi.org/10.1371/journal.pone.0286192.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Nóra Kovács; Orsolya Liska; Enoabasi Omonigho Idara-Umoren; Nour Mahrouseh; Orsolya Varga
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Multilevel logistic regression model for determinants of dental care attendance, medical care attendance and hospitalization.

  18. Biggest health care concerns in Colombia 2024

    • ai-chatbox.pro
    • statista.com
    Updated May 31, 2025
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    Jennifer Mendoza (2025). Biggest health care concerns in Colombia 2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstudy%2F105855%2Fhealth-in-colombia%2F%23XgboD02vawLKoDs%2BT%2BQLIV8B6B4Q9itA
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    Dataset updated
    May 31, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jennifer Mendoza
    Area covered
    Colombia
    Description

    According to a survey, mental health was ranked as the biggest health care concern facing people in Colombia among selected issues, with around 54 percent of respondents considering it the main sanitary problem as of August 2024. Moreover, stress and drug abuse ranked second and third among the leading health concerns that year, as indicated by 40 and 36 percent of interviewees, respectively. As of 2023, Colombia was among the countries with the highest share of people considering mental health one of the biggest health problems in their country within a selection of 34 nations.

  19. f

    Identified Government Efforts towards Improving the Nigerian Healthcare...

    • plos.figshare.com
    xls
    Updated May 28, 2025
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    Blessing Osagumwendia Josiah; Emmanuel Chukwunwike Enebeli; Brontie Albertha Duncan; Prisca Olabisi Adejumo; Chinelo Cleopatra Josiah; Lordsfavour Anukam; Muhammad Baqir Shittu; France Ncube; Kelechi Eric Alimele; Mercy Emmanuel; Oyinye Prosper Martins-Ifeanyi; Fawole Israel Opeyemi; Oluwadamilare Akingbade; Abosede Peace Adebayo; Busiroh Mobolape Ibraheem; Ubiebo Ataisi Ekenekot; Mudiaga Sidney Edafiejire; Solomon Oluwaseun Olukoya; Ufuomaoghene Jemima Mukoro; Siyouneh Baghdasarian; Joy Chioma Obialor; Gloria Oluwakorede Alao; Blessing Onyinye Obialor; Ndidi Louis Otoboyor; Oghosa Gabriel Josiah; Joshua Okonkwo; Precious Ebinehita Imoyera; Ajao Adewale Gbolabo; Blessing Chiamaka Nganwuchu; Olukayode Joseph Oladimeji; Timothy Wale Olaosebikan; Marios Kantaris (2025). Identified Government Efforts towards Improving the Nigerian Healthcare Systems. [Dataset]. http://doi.org/10.1371/journal.pgph.0004615.t007
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    xlsAvailable download formats
    Dataset updated
    May 28, 2025
    Dataset provided by
    PLOS Global Public Health
    Authors
    Blessing Osagumwendia Josiah; Emmanuel Chukwunwike Enebeli; Brontie Albertha Duncan; Prisca Olabisi Adejumo; Chinelo Cleopatra Josiah; Lordsfavour Anukam; Muhammad Baqir Shittu; France Ncube; Kelechi Eric Alimele; Mercy Emmanuel; Oyinye Prosper Martins-Ifeanyi; Fawole Israel Opeyemi; Oluwadamilare Akingbade; Abosede Peace Adebayo; Busiroh Mobolape Ibraheem; Ubiebo Ataisi Ekenekot; Mudiaga Sidney Edafiejire; Solomon Oluwaseun Olukoya; Ufuomaoghene Jemima Mukoro; Siyouneh Baghdasarian; Joy Chioma Obialor; Gloria Oluwakorede Alao; Blessing Onyinye Obialor; Ndidi Louis Otoboyor; Oghosa Gabriel Josiah; Joshua Okonkwo; Precious Ebinehita Imoyera; Ajao Adewale Gbolabo; Blessing Chiamaka Nganwuchu; Olukayode Joseph Oladimeji; Timothy Wale Olaosebikan; Marios Kantaris
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Nigeria
    Description

    Identified Government Efforts towards Improving the Nigerian Healthcare Systems.

  20. f

    Multilevel logistic regression analysis for forgoing dental care due to cost...

    • plos.figshare.com
    xls
    Updated Jun 9, 2023
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    Nóra Kovács; Orsolya Liska; Enoabasi Omonigho Idara-Umoren; Nour Mahrouseh; Orsolya Varga (2023). Multilevel logistic regression analysis for forgoing dental care due to cost and unavailability in wave 8. [Dataset]. http://doi.org/10.1371/journal.pone.0286192.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Nóra Kovács; Orsolya Liska; Enoabasi Omonigho Idara-Umoren; Nour Mahrouseh; Orsolya Varga
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Multilevel logistic regression analysis for forgoing dental care due to cost and unavailability in wave 8.

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Statista (2024). Ranking of health and health systems of countries worldwide in 2023 [Dataset]. https://www.statista.com/statistics/1376359/health-and-health-system-ranking-of-countries-worldwide/
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Ranking of health and health systems of countries worldwide in 2023

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12 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 24, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
Worldwide
Description

In 2023, Singapore dominated the ranking of the world's health and health systems, followed by Japan and South Korea. The health index score is calculated by evaluating various indicators that assess the health of the population, and access to the services required to sustain good health, including health outcomes, health systems, sickness and risk factors, and mortality rates. The health and health system index score of the top ten countries with the best healthcare system in the world ranged between 82 and 86.9, measured on a scale of zero to 100.

Global Health Security Index  Numerous health and health system indexes have been developed to assess various attributes and aspects of a nation's healthcare system. One such measure is the Global Health Security (GHS) index. This index evaluates the ability of 195 nations to identify, assess, and mitigate biological hazards in addition to political and socioeconomic concerns, the quality of their healthcare systems, and their compliance with international finance and standards. In 2021, the United States was ranked at the top of the GHS index, but due to multiple reasons, the U.S. government failed to effectively manage the COVID-19 pandemic. The GHS Index evaluates capability and identifies preparation gaps; nevertheless, it cannot predict a nation's resource allocation in case of a public health emergency.

Universal Health Coverage Index  Another health index that is used globally by the members of the United Nations (UN) is the universal health care (UHC) service coverage index. The UHC index monitors the country's progress related to the sustainable developmental goal (SDG) number three. The UHC service coverage index tracks 14 indicators related to reproductive, maternal, newborn, and child health, infectious diseases, non-communicable diseases, service capacity, and access to care. The main target of universal health coverage is to ensure that no one is denied access to essential medical services due to financial hardships. In 2021, the UHC index scores ranged from as low as 21 to a high score of 91 across 194 countries. 

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