According to a 2024 survey, 64 percent of individuals from Switzerland assessed their healthcare quality received as very good or good, while only 12 percent of Hungarian respondents rated the healthcare quality they have access to as good or very good.

In 2024, roughly***** of individuals worldwide stated the quality of the healthcare they had access to in their country was good. The highest quality rating were given by people from Malaysia, Switzerland, and the Netherlands, while individuals in Hungary, Poland, and Peru rated their country's healthcare quality most poorly. This statistic presents the percentage of adults in select countries worldwide who agreed that the quality of the healthcare they had access to in their country was good or poor as of 2024.

In 2023, Singapore ranked first with a health index score of ****, followed by Japan and South Korea. The health index measures the extent to which people are healthy and have access to the necessary services to maintain good health, including health outcomes, health systems, illness and risk factors, and mortality rates. The statistic shows the health and health systems ranking of countries worldwide in 2023, by their health index score.

According to a survey conducted in a selection of Latin American countries in 2024, Argentina was by far the country with the highest share of satisfied health patients, with ** percent of respondents assessing healthcare quality as good or very good, whereas only ** percent of respondents in Peru claimed to receive good healthcare. Hospitals in Latin America Hospital Israelita Albert Einstein in São Paulo, Brazil was considered the hospital with the highest care quality in Latin America in 2022. The first three leading hospitals in hosting patients were also located in Brazil, ranking high along other healthcare facilities in Argentina, Colombia and Chile. In 2024, Brazil was the country with the highest number of hospitals in the region, with approximately ***** establishments, followed by Mexico and Colombia. Hospital equipment in Latin America As of 2023, more than ** percent of hospitals in Latin America were equipped with electrocardiogram (EKG) machines. That year, ultrasound machines could be found in ** percent of hospitals, while a fourth of these establishments in the region had computed tomography (CT) scanners. In that year, Brazil had the most ultrasound machines installed in hospitals in Latin America, with over ******, followed by Mexico and Argentina.

IntroductionPrivate sector healthcare delivery in low- and middle-income countries is sometimes argued to be more efficient, accountable, and sustainable than public sector delivery. Conversely, the public sector is often regarded as providing more equitable and evidence-based care. We performed a systematic review of research studies investigating the performance of private and public sector delivery in low- and middle-income countries. Methods and FindingsPeer-reviewed studies including case studies, meta-analyses, reviews, and case-control analyses, as well as reports published by non-governmental organizations and international agencies, were systematically collected through large database searches, filtered through methodological inclusion criteria, and organized into six World Health Organization health system themes: accessibility and responsiveness; quality; outcomes; accountability, transparency, and regulation; fairness and equity; and efficiency. Of 1,178 potentially relevant unique citations, data were obtained from 102 articles describing studies conducted in low- and middle-income countries. Comparative cohort and cross-sectional studies suggested that providers in the private sector more frequently violated medical standards of practice and had poorer patient outcomes, but had greater reported timeliness and hospitality to patients. Reported efficiency tended to be lower in the private than in the public sector, resulting in part from perverse incentives for unnecessary testing and treatment. Public sector services experienced more limited availability of equipment, medications, and trained healthcare workers. When the definition of “private sector” included unlicensed and uncertified providers such as drug shop owners, most patients appeared to access care in the private sector; however, when unlicensed healthcare providers were excluded from the analysis, the majority of people accessed public sector care. “Competitive dynamics” for funding appeared between the two sectors, such that public funds and personnel were redirected to private sector development, followed by reductions in public sector service budgets and staff. ConclusionsStudies evaluated in this systematic review do not support the claim that the private sector is usually more efficient, accountable, or medically effective than the public sector; however, the public sector appears frequently to lack timeliness and hospitality towards patients. Please see later in the article for the Editors' Summary

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.

In 2025, South Africa had the highest health care index in Africa with a score of 63.8, followed by Kenya with 62 points. These scores, for both countries, are considered to be reasonably high. The health care index takes into account factors such as the overall quality of the health care system, health care professionals, equipment, staff, doctors, and cost.

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.

Context

In order to begin correlating global data based around infection rates, from the WHO data in the UNCOVER: Covid-19 challenge, found here, to quality of healthcare in a region, data relaying the availability of health care in nations around the globe is necessary as a first step to this analysis. Out of a general desire to provide this data to the data science community, and out of a desire to find ways to learn about, prepare for in whatever way possible, and beat, the COVID-19 pandemic of 2020, I'm making this data-set public for others to use, share, and study with.

Content

The data presented in the file below cover the following information... 1 set of Strings --> The country names 1 set of Integers --> The years in which the data were recorded (2010-2014). 6 sets of floats --> 6 columns of floats record the total density of health centers and hospitals (including provincial and specialized) to every 100,000 people within the country... thus generalizing the country's access to health care, and maintenance/creation of the health infrastructure needed to support the population.

Acknowledgements

Complete thanks for this data-set goes to the World Health Organization and the Global Health Observatory. This data can be found on the GHO's site, specifically here. In terms of the licensing, in order to underscore that this data is not mine, as well as ensure all steps are taken to make one's proper rights clear (and grant thanks for the data once again), the general data usage license agreement for the data-set used can be found here.

Inspiration

It is sadly true that this data on its own is unlikely to present any major answers. When combined with other datasets however, this may yield answers as to what factors of a countries existence may indicate its ability to maintain a large health infrastructure. In fact, determining how a country's finances, natural resource list (as just ideas), etc. relate to a country's ability to sustain a decent health infrastructure would be an extremely interesting question to answer. I hope you may find the data helpful in your endeavors!

Disclaimer: This is my first ever published data-set on Kaggle. While I've done my best to ensure it's fairly descriptive for any potential visitors, please do feel free to leave any comments you may have in the discussions section! I'm always open to finding ways to improve.

This database contains the whole amount of indicators retrieved by systematic search as well as the total of indicators that were analyzed, including information on applied appraisal criteria.

Abstract

The Service Delivery Indicators (SDI) are a set of health and education indicators that examine the effort and ability of staff and the availability of key inputs and resources that contribute to a functioning school or health facility. The indicators are standardized, allowing comparison between and within countries over time.

The Health SDIs include healthcare provider effort, knowledge and ability, and the availability of key inputs (for example, basic equipment, medicines and infrastructure, such as toilets and electricity). The indicators provide a snapshot of the health facility and assess the availability of key resources for providing high quality care.

The Sierra Leone SDI Health survey team visited a sample of 536 health facilities across Sierra Leone between January and April 2018. The survey team collected rosters covering 5,055 workers for absenteeism and assessed 829 health workers for competence using patient case simulations.

Geographic coverage

National

Analysis unit

Health facilities and healthcare providers

Universe

All health facilities providing primary-level care

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling strategy for SDI surveys is designed towards attaining indicators that are accurate and representative at the national level, as this allows for proper cross-country (i.e. international benchmarking) and across time comparisons, when applicable. In addition, other levels of representativeness are sought to allow for further disaggregation (rural/urban areas, public/private facilities, subregions, etc.) during the analysis stage.

The sampling strategy for SDI surveys follows a multistage sampling approach. The main units of analysis are facilities (schools and health centers) and providers (health and education workers: teachers, doctors, nurses, facility managers, etc.). The multi-stage sampling approach makes sampling procedures more practical by dividing the selection of large populations of sampling units in a step-by-step fashion. After defining the sampling frame and categorizing it by stratum, a first stage selection of sampling units is carried out independently within each stratum. Often, the primary sampling units (PSU) for this stage are cluster locations (e.g. districts, communities, counties, neighborhoods, etc.) which are randomly drawn within each stratum with a probability proportional to the size (PPS) of the cluster (measured by the location’s number of facilities, providers or pupils). Once locations are selected, a second stage takes place by randomly selecting facilities within location (either with equal probability or with PPS) as secondary sampling units. At a third stage, a fixed number of health and education workers and pupils are randomly selected within facilities to provide information for the different questionnaire modules.

Detailed information about the specific sampling process is available in the associated SDI Country Report included as part of the documentation that accompany these datasets.

Mode of data collection

Face-to-face [f2f]

Research instrument

The SDI Health Survey Questionnaire consists of four modules:

Module 1: General Information - Administered to the health facility manager to collect information on equipment, medicines, infrastructure and other facets of the health facility.

Module 2: Provider Absence - A roster of healthcare providers is collected and absence measured.

Module 3: Clinical Vignettes – A selection of providers are given clinical vignettes to measure knowledge of common medical conditions.

Module 4: Facility finances – Information on facility revenue and expenditures is collected from the health facility manager.

Weights: Weights for facilities, absentee-related analyses and clinical vignette analyses.

Cleaning operations

Quality control was performed in Stata.

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.

According to Cognitive Market Research, the global Outbound Medical Tourism Services Market size will be USD 258695.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 13.20% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 103478.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.4% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 77608.56 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 59499.90 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.2% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 12934.7 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.6% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 5173.90 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.9% from 2024 to 2031.
The cosmetic surgery category is the fastest growing segment of the Outbound Medical Tourism Services Market

Market Dynamics of Outbound Medical Tourism Services Market

Key Drivers for Outbound Medical Tourism Services Market

Cost Savings from Medical Procedures Abroad Drive Growth in Outbound Medical Tourism Services Market

One of the primary drivers of the Outbound Medical Tourism Services Market is the significant cost savings associated with medical procedures abroad. In many developed countries, healthcare costs are exorbitantly high, making treatments financially inaccessible for a large segment of the population. Countries like India, Thailand, and Mexico offer high-quality medical care at a fraction of the price, attracting patients seeking surgeries, dental work, and other medical services. This affordability is particularly appealing for elective procedures and complex surgeries that may require extensive financial outlay in their home countries, thus propelling the growth of the outbound medical tourism sector.

Rising Quality of Healthcare Services Abroad Driving Outbound Medical Tourism Through Enhanced Patient Assurance and Infrastructure Investments

The increasing quality of healthcare services in various countries is another vital driver of the Outbound Medical Tourism Services Market. Many destinations known for medical tourism have made substantial investments in their healthcare infrastructure, often meeting or exceeding international standards. Hospitals and clinics in these regions frequently receive accreditations from prestigious organizations, which reassures THE patients about quality of care they will receive. Furthermore, the availability of advanced medical technology and skilled healthcare professionals enhances the attractiveness of these destinations. As patients become more informed about healthcare quality abroad, the trend of seeking treatment overseas continues to rise.

Restraint Factor for the Outbound Medical Tourism Services Market

Challenges and Legal Risks in Outbound Medical Tourism Hinder Market Growth and Patient Confidence in Seeking Treatment Abroad

Despite the numerous benefits of outbound medical tourism, potential patients often face regulatory challenges and legal risks that can act as a restraint on market growth. The lack of standardized regulations across different countries can create uncertainty for patients regarding the quality of care and legal recourse in case of malpractice or complications. Moreover, navigating the legal landscape in a foreign country can be daunting for patients who may not be familiar with local laws or healthcare regulations. This uncertainty can deter individuals from pursuing medical treatments abroad, as concerns about the safety and efficacy of procedures remain prominent.

Impact of Covid-19 on the Outbound Medical Tourism Services Market

The COVID-19 pandemic significantly impacted the Outbound Medical Tourism Services Market, leading to a sharp decline in patient travel due to international travel restrictions and health concerns. Many patients postponed or canceled medical procedures as healthcare systems focused on managing the pandemic, causing disruptions in elective surgeries and treatments. Additionally, the unce...

This dataset contains indicators of responsiveness and patient experiences quality indicators for the health care services available and delivered in country members of OECD (The Organization for Economic Co-operation and Development). The indicators values cover the period 2000-2018.

The spreadsheet provides the list of indicators reported by the national experts to assess the quality of child care in the relevant countries along with those gathered from official documents provided by the experts. It has been adopted to the Paper 'Variability in the assessment of childcare in 30 European countries'.

The Study of Women's Health Across the Nation (SWAN), is a multi-site longitudinal, epidemiologic study designed to examine the health of women during their middle years. The study examines the physical, biological, psychological and social changes during this transitional period. The goal of SWAN's research is to help scientists, health care providers and women learn how mid-life experiences affect health and quality of life during aging. Data were collected about doctor visits, medical conditions, medications, treatments, medical procedures, relationships, smoking, and menopause related information such as age at pre-, peri- and post-menopause, self-attitudes, feelings, and common physical problems associated with menopause. The study began in 1994. Between 2004 and 2006, 2,278 of the 3,302 women that joined SWAN were seen for their eighth follow-up visit. The research centers are located in the following communities: Ypsilanti and Inkster, MI (University of Michigan); Boston, MA (Massachusetts General Hospital); Chicago, IL (Rush Presbyterian-St. Luke's Medical Center); Alameda and Contra Costa County, CA (University of California-Davis and Kaiser Permanente); Los Angeles, CA (University of California-Los Angeles); Hackensack, NJ (Hackensack University Medical Center); and Pittsburgh, PA (University of Pittsburgh). SWAN participants represent five racial/ethnic groups and a variety of backgrounds and cultures. Though the New Jersey site was still part of the study, data was not collected from this site for the eighth visit. Demographic and background information includes age, language of interview, marital status, household composition, and employment.

The global medical tourism market, valued at $79.15 billion in 2025, is projected to experience robust growth, driven by a compound annual growth rate (CAGR) of 18.41% from 2025 to 2033. This expansion is fueled by several key factors. Firstly, the increasing affordability and accessibility of high-quality medical care in certain regions, particularly in developing countries, attract patients seeking cost-effective treatments. Secondly, advancements in medical technology and procedures, coupled with a rising prevalence of chronic diseases globally, create a significant demand for specialized treatments not readily available or affordable in every country. Finally, improved global connectivity and ease of travel facilitate the international movement of patients seeking medical services. This trend is further amplified by proactive marketing and specialized medical tourism packages offered by hospitals and agencies. However, the market also faces certain challenges. Regulatory hurdles and varying standards of care across different nations remain a concern for patients. Furthermore, the perceived risks associated with seeking treatment abroad, including potential language barriers and post-operative care issues, could act as a restraint. Despite these challenges, the market's growth trajectory suggests a strong potential for future expansion, particularly with continued advancements in medical technology and infrastructure improvements in key medical tourism destinations. Leading players such as MedRetreat, Healthbase, Apollo Hospitals, and Fortis Healthcare are strategically positioning themselves to capitalize on this burgeoning market by offering comprehensive services and specialized packages that address patient needs and concerns. The competitive landscape is dynamic, with established players and emerging providers vying for market share, leading to continuous improvements in quality, affordability, and patient experience. Recent developments include: February 2024: The governments of Thailand and Saudi Arabia entered a memorandum of understanding (MoU) to develop the medical tourism industry in both countries. As Thailand is a popular destination for seeking medical treatments for international patients, including Saudi Arabia, the developments in medical tourism in Thailand are expected to promote medical tourism in the country.January 2024: Parexel and the Japanese Foundation for Cancer Research (JFCR) strategically collaborated to accelerate the accessibility of oncology clinical trials in Japan and open wide opportunities for patients to participate in cancer research in Japan.. Key drivers for this market are: High Treatment Cost in Developed Countries, Availability of Latest Medical Technologies and High Quality of Service; Growing Compliance of International Quality Standards. Potential restraints include: High Treatment Cost in Developed Countries, Availability of Latest Medical Technologies and High Quality of Service; Growing Compliance of International Quality Standards. Notable trends are: Cosmetic Treatment Segment is Expected to Witness Significant Growth During the Forecast Period.

Abstract Background Although advances are perceived in terms of expanding the coverage of Primary Care in Brazil, patient access or accessibility when using these services is still considered a challenge. Objective This work aimed to describe some dimensions of accessibility in primary Health Care in Brazil of the users’ evaluation who participate of the National Program for improving access and quality in primary health care, in 2012 in all the regions of the country. Method It is a descriptive, cross-sectional study. It was used the data of the III module which collect with interview with users, data specifically of the component for the use of health services. 65.391 users of 3.944 municipalities participated of this study. Results It was found problems with the geographical and organizational accessibility in the north and northeast regions. The organizational barriers were more evident in the scheduling consultations, in the lack of choice of professionals and the restricted opening hours. In addition, it was observed that most users cannot solve the emergency in the basic health unity. Conclusion There was progress in the accessibility, on the other hand in the North and Northeast regions needs greater investments to improve the organizational accessibility.

BackgroundAssessment of the quality of life (QoL) among healthcare workers (HCWs) is vital for better healthcare and is an essential indicator for competent health service delivery. Since the coronavirus disease 2019 (COVID-19) pandemic strike, the frontline position of HCWs subjected them to tremendous mental and psychological burden with a high risk of virus acquisition.AimThis study evaluated the QoL and its influencing factors among HCWs residing in the Arab countries.MethodsThis was a cross-sectional study using a self-administered online questionnaire based on the World Health Organization QoL-BREF instrument with additional questions related to COVID-19. The study was conducted in three different languages (Arabic, English, and French) across 19 Arab countries between February 22 and March 24, 2022.ResultsA total of 3,170 HCWs were included in the survey. The majority were females (75.3%), aged 18–40 years (76.4%), urban residents (90.4%), married (54.5%), and were living in middle-income countries (72.0%). The mean scores of general health and general QoL were 3.7 ± 1.0 and 3.7 ± 0.9, respectively. Those who attained average physical, psychological, social, and environmental QoL were 40.8, 15.4, 26.2, and 22.3%, respectively. The income per capita and country income affected the mean scores of all QoL domains. Previous COVID-19 infection, having relatives who died of COVID-19, and being vaccinated against COVID-19 significantly affected the mean scores of different domains.ConclusionA large proportion of the Arab HCWs evaluated in this study had an overall poor QoL. More attention should be directed to this vulnerable group to ensure their productivity and service provision.

Abstract

The Service Delivery Indicators (SDI) are a set of health and education indicators that examine the effort and ability of staff and the availability of key inputs and resources that contribute to a functioning school or health facility. The indicators are standardized, allowing comparison between and within countries over time.

The Health SDIs include healthcare provider effort, knowledge and ability, and the availability of key inputs (for example, basic equipment, medicines and infrastructure, such as toilets and electricity). The indicators provide a snapshot of the health facility and assess the availability of key resources for providing high quality care.

The Kenya SDI Health survey team visited a sample of 3,098 health facilities across Kenya between March and July 2018. The 2018 Kenya SDI is the largest to date. The survey team collected rosters covering 24,098 workers for absenteeism and assessed 4,499 health workers for competence using patient case simulation.

Geographic coverage

National

Analysis unit

Health facilities and healthcare providers

Universe

All health facilities providing primary-level care

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling strategy for SDI surveys is designed towards attaining indicators that are accurate and representative at the national level, as this allows for proper cross-country (i.e. international benchmarking) and across time comparisons, when applicable. In addition, other levels of representativeness are sought to allow for further disaggregation (rural/urban areas, public/private facilities, subregions, etc.) during the analysis stage.

The sampling strategy for SDI surveys follows a multistage sampling approach. The main units of analysis are facilities (schools and health centers) and providers (health and education workers: teachers, doctors, nurses, facility managers, etc.). The multi-stage sampling approach makes sampling procedures more practical by dividing the selection of large populations of sampling units in a step-by-step fashion. After defining the sampling frame and categorizing it by stratum, a first stage selection of sampling units is carried out independently within each stratum. Often, the primary sampling units (PSU) for this stage are cluster locations (e.g. districts, communities, counties, neighborhoods, etc.) which are randomly drawn within each stratum with a probability proportional to the size (PPS) of the cluster (measured by the location’s number of facilities, providers or pupils). Once locations are selected, a second stage takes place by randomly selecting facilities within location (either with equal probability or with PPS) as secondary sampling units. At a third stage, a fixed number of health and education workers and pupils are randomly selected within facilities to provide information for the different questionnaire modules.

Detailed information about the specific sampling process is available in the associated SDI Country Report included as part of the documentation that accompany these datasets.

Mode of data collection

Face-to-face [f2f]

Research instrument

The SDI Health Survey Questionnaire consists of four modules, plus weights:

Module 1: General Information - Administered to the health facility manager to collect information on equipment, medicines, infrastructure and other facets of the health facility.

Module 2: Provider Absence - A roster of healthcare providers is collected and absence measured.

Module 3: Clinical Vignettes – A selection of providers are given clinical vignettes to measure knowledge of common medical conditions.

Module 4: Public expenditure tracking - Information on facility finances

Weights: Weights for facilities, absentee-related analyses and clinical vignette analyses.

Cleaning operations

Quality control was performed in Stata.