According to the findings of a survey by IPSOS, satisfaction with national health systema varies widely between countries. Respondents from Saudia Arabia and Singapore are the most satisfied with their country's health system. This statistic shows the level of satisfaction with national health systems worldwide as of 2019, by country.

Since 2020 there has been a decrease in the general satisfaction of Europeans with their own country's healthcare system, and in 2025 only ** percent of Europeans expressed being generally satisfied. This statistic depicts the percentage of Europeans generally satisfied with their countries' healthcare systems from 2020 to 2025.

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.

In the U.S., every hospital that receives payments from Medicare and Medicaid is mandated to provide quality data to The Centers for Medicare and Medicaid Services (CMS) annually. This data helps gauge patient satisfaction levels across the country. While overall hospital scores can be influenced by the quality of customer services, there may also be variations in satisfaction based on the type of hospital or its location.

Year: 2016 - 2020

The Star Rating Program, implemented by The Centers for Medicare & Medicaid Services (CMS), employs a five-star grading system to evaluate the experiences of Medicare beneficiaries with their respective health plans and the overall healthcare system. Health plans receive scores ranging from 1 to 5 stars, with 5 stars denoting the highest quality.

Benefits:

Historical Analysis: With data spanning from 2016 to 2020, researchers and analysts can observe trends over time, understanding how patient satisfaction has evolved over these years.

Benchmarking: Hospitals can compare their performance against national averages or against peer institutions to see where they stand.

Identifying Areas for Improvement: By analyzing specific metrics and feedback, hospitals can pinpoint areas where their services may be lacking and need enhancement.

Policy and Decision Making: Governments and healthcare administrators can use the data to make informed decisions about healthcare policies, funding allocations, and other strategic decisions.

Research and Academic Purposes: Academics and researchers can use the dataset for various studies, including correlational studies, predictions, and more.

Geographical Insights: The dataset may provide insights into regional variations in patient satisfaction, helping to identify areas or states with particularly high or low scores.

Understanding Factors Affecting Satisfaction: By correlating satisfaction scores with other variables (e.g., hospital type, size, location), it might be possible to determine which factors play the most significant role in patient satisfaction.

Performance Evaluation: Hospitals can use the data to evaluate the efficacy of any interventions or changes they've made over the years in terms of improving patient satisfaction.

Enhancing Patient Trust: Demonstrating transparency and a commitment to improvement can enhance patient trust and loyalty.

Informed Patients: By making such data publicly available, potential patients can make more informed decisions about where to seek care based on the satisfaction ratings of previous patients.

Source: https://data.cms.gov/provider-data/archived-data/hospitals

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.

In a survey conducted in 2021, ** percent of Singaporeans stated to be satisfied with their country's public healthcare. In contrast, the satisfaction rate with public healthcare in the Philippines amounted to ** percent that year. Across APAC, the average satisfaction rate stood at ** percent.

This dataset provides key performance indicators (KPIs) for healthcare systems across various countries or regions. It includes metrics such as hospital capacity, patient satisfaction, healthcare expenditures, mortality rates, life expectancy, and doctor-to-patient ratios.

The dataset is valuable for researchers, policymakers, and data analysts seeking insights into healthcare efficiency, access, and outcomes. It can be used for comparative analysis, healthcare policy evaluation, predictive modeling, and machine learning applications in the medical field.

Potential Use Cases:

📉 Analyzing healthcare efficiency and resource allocation
🏥 Identifying disparities in healthcare access
📊 Predictive modeling for patient outcomes
💰 Studying the impact of healthcare expenditures on public health
📌 Comparing healthcare systems across countries

The increasing burden of healthcare systems in most developing countries affects access to quality healthcare. The state of Quality Assurance in the Public University Hospitals remains questionable in these countries. This study investigates the level of patient satisfaction and its service quality predictors among patients accessing healthcare from the Public University Hospitals in Ghana. An empirical assessment survey using a pre-tested service quality (SERVQUAL) measurement scale was conducted among 439 patients who attended two major Public University Hospitals in Ghana. Data were obtained from patients on the five dimensions of perceived service quality including tangibles, reliability, responsiveness, assurance and empathy. Data were analysed using Stata software. Descriptive statistics and linear regression analysis were performed to identify the most defining service quality dimension of patient satisfaction. The study indicates adequate level of service satisfaction among patients accessing healthcare from the public university hospitals in Ghana, although ‘responsiveness’ was low. Therefore, the management team of these hospitals must not underestimate the crucial role of staff in inspiring trust and confidence in their clients.

BackgroundHigh satisfaction with healthcare is common in low- and middle-income countries (LMICs), despite widespread quality deficits. This may be due to low expectations because people lack knowledge about what constitutes good quality or are resigned about the quality of available services.Methods and findingsWe fielded an internet survey in Argentina, China, Ghana, India, Indonesia, Kenya, Lebanon, Mexico, Morocco, Nigeria, Senegal, and South Africa in 2017 (N = 17,996). It included vignettes describing poor-quality services—inadequate technical or interpersonal care—for 2 conditions. After applying population weights, most of our respondents lived in urban areas (59%), had finished primary school (55%), and were under the age of 50 (75%). Just over half were men (51%), and the vast majority reported that they were in good health (73%). Over half (53%) of our study population rated the quality of vignettes describing poor-quality services as good or better. We used multilevel logistic regression and found that good ratings were associated with less education (no formal schooling versus university education; adjusted odds ratio [AOR] 2.22, 95% CI 1.90–2.59, P < 0.001), better self-reported health (excellent versus poor health; AOR 5.19, 95% CI 4.33–6.21, P < 0.001), history of discrimination in healthcare (AOR 1.47, 95% CI 1.36–1.57, P < 0.001), and male gender (AOR 1.32, 95% CI 1.23–1.41, P < 0.001). The survey did not reach nonusers of the internet thus only representing the internet-using population.ConclusionsMajorities of the internet-using public in 12 LMICs have low expectations of healthcare quality as evidenced by high ratings given to poor-quality care. Low expectations of health services likely dampen demand for quality, reduce pressure on systems to deliver quality care, and inflate satisfaction ratings. Policies and interventions to raise people’s expectations of the quality of healthcare they receive should be considered in health system quality reforms.

Providing holistic nursing care and ensuring patient satisfaction have become essential health performance indicators all across the world. Notwithstanding several efforts to improve patient satisfaction with nursing care, the approach in developing countries, including Ethiopia, is still insufficient. This study was aimed to assess the level of adult patients’ satisfaction and to identify factors affecting satisfaction.

ObjectivesThe widespread impact of the COVID-19 pandemic on health systems, economies, and societies globally requires comprehensive data to guide effective recovery efforts. Online surveys have become crucial for rapid and extensive data collection. The Pandemic Response Survey (PRS), utilizing the Facebook Active User Base (FAUB), assessed the pandemic’s population-level impacts across 21 countries, gathering information on healthcare, vaccine confidence, trust, and economic and educational indicators.MethodsConducted from March to May 2023, the PRS, translated into 15 languages, used the FAUB for gender-stratified random sampling of adults 18 years and older. The survey collected responses from 621,000 individuals, achieving a completion rate of 43%. Non-response and inverse propensity score weights were applied to calibrate the data to known demographic totals, enhancing the survey’s generalizability.ResultsThe PRS findings reveal disparities in life satisfaction, food security, delayed healthcare, vaccine confidence, and trust across countries. Life satisfaction was reported as high by 70%–80% of respondents in Egypt, Nigeria, Colombia, and Mexico, while only 20%–30% of respondents in Indonesia, Turkiye, and Viet Nam reported the same. Approximately 50% of respondents in Nigeria, South Africa, and Colombia experienced food insecurity, in contrast to less than 10% in Italy, Japan, and Germany. In Germany, 44% of respondents expressed high vaccine confidence compared to 10.6% in South Africa. Over half of respondents in Indonesia (52.4%) reported that their child was up to date on routine immunisations.ConclusionThe PRS demonstrates the effectiveness of online surveys in capturing actionable data during a global health crisis. The findings underscore the importance of targeted interventions and policy decisions to address the multifaceted challenges of pandemic recovery. Collaborative efforts in data collection and knowledge sharing between nations with shared profiles may foster more effective strategies.

Beurteilung des Gesundheitssystems im Land. Persönliche Gesundheit. Gesundheitsversicherung. Themen: Lebenszufriedenheit (Glücklichsein); Vertrauen in das Bildungssystem und das Gesundheitssystem des Landes; Forderung nach einer Änderung des Gesundheitssystems; Rechtfertigung besserer medizinischer Versorgung und Bildung für Personen mit höherem Einkommen; Beurteilung des Gesundheitssystems des Landes (Skala: Einschätzung der Verbesserung des Gesundheitssystems, Beanspruchung von Gesundheitsleistungen über den notwendigen Bedarf hinweg, Bereitstellung von Basisgesundheitsleistungen durch den Staat, ineffizientes Gesundheitssystem); Bereitschaft zur Zahlung höherer Steuern zur Erhöhung der Gesundheitsversorgung für alle im Land; Einstellung zur öffentlichen Finanzierung von vorbeugenden medizinischen Checks, Behandlung von HIV/AIDS, Programmen zur Verhinderung von Fettleibigkeit sowie Organtransplantationen; Einstellung zum Zugang zu staatlich geförderter Gesundheitsversorgung für Menschen mit fremder Staatsbürgerschaft bzw. selbstschädigendem Gesundheitsverhalten; geschätzter Anteil von Menschen ohne Zugang zum Gesundheitssystem; Ursachen schwerwiegender Gesundheitsprobleme (gesundheitsschädliches Verhalten, Umwelt, Gene, Armut); Einstellung zur Bereitstellung einer Herzoperation für Patienten, die rauchen, die schon alt sind sowie bei solchen mit jungen Kindern; Einstellung zu alternativer Medizin (bessere Lösungen für Gesundheitsprobleme als konventionelle Medizin, verspricht mehr als sie halten kann); allgemeine Beurteilung von Ärzten im Land (Skala: vertrauenswürdig, diskutieren sämtliche Behandlungsoptionen mit ihren Patienten, geringe medizinische Fähigkeiten, kümmern sich mehr um ihr Einkommen als um ihre Patienten, Offenheit im Umgang mit Behandlungsfehlern); Häufigkeit von Problemen in den letzten vier Wochen: in Bezug auf Arbeit oder Haushaltsaktivitäten aufgrund gesundheitlicher Probleme, körperlich starke Schmerzen, Unglücklichsein und Depressionen, Verlust des Selbstvertrauens und unüberwindliche Probleme; Häufigkeit von Arztbesuchen und von Besuchen bei alternativen Heilpraktikern im letzten Jahr; Krankenhausaufenthalt im letzten Jahr; Gründe für nicht erhaltene notwendige medizinische Behandlung (Zahlungsschwierigkeiten, zeitliche Schwierigkeiten oder andere Verpflichtungen, erforderliche Behandlung ist am Wohnort nicht verfügbar, zu lange Wartelisten); Wahrscheinlichkeit des Zugangs zur bestmöglichen Behandlung im Land bei einer schweren Krankheit und zu freier Arztwahl; Zufriedenheit mit dem Gesundheitssystem im Land; Zufriedenheit mit dem letzten Arztbesuch, bei alternativen Heilpraktikern und mit dem letzten Krankenhausaufenthalt; Anzahl täglich gerauchter Zigaretten; Häufigkeit des Konsums von vier oder mehr alkoholischen Getränken pro Tag; Häufigkeit anstrengender körperlicher Aktivitäten und des Konsums von Obst und Gemüse; Selbsteinschätzung der Gesundheit; chronische Krankheit oder Behinderung; Größe und Gewicht; Art der persönlichen Gesundheitsversicherung; Beurteilung des Schutzes der persönlichen Gesundheitsversicherung. Optionale Fragen: Gesundheitsversicherung deckt ab: verordnete Medikamente, zahnmedizinische Versorgung und Krankenhausaufenthalte; Notwendigkeit einer Überweisung des Hausarztes vor dem Besuch eines Facharztes; Einschränkung sozialer Aktivitäten wegen gesundheitlicher Probleme. Demographie: Geschlecht; Alter; Geburtsjahr; Jahre der Schulbildung; Schulbildung (länderspezifisch); höchster Bildungsgrad; Erwerbstätigkeit; Wochenarbeitszeit; Beschäftigungsverhältnis; Beschäftigtenzahl; Vorgesetztenfunktion; Anzahl der beaufsichtigten Beschäftigten; Art der Organisation; Beruf (ISCO-88); Haupterwerbsstatus; Zusammenleben mit einem Partner; Gewerkschaftsmitgliedschaft; Konfession (länderspezifisch); Konfessionsgruppen; Kirchgangshäufigkeit; Selbsteinschätzung auf einer Oben-unten-Skala; Wahlbeteiligung bei der letzten Wahl und gewählte Partei (länderspezifisch); Einschätzung der gewählten Partei links-rechts; Ethnizität (länderspezifisch); Kinderzahl; Haushaltsgröße; Einkommen des Befragten (länderspezifisch); Haushaltseinkommen (länderspezifisch); Familienstand; Urbanisierungsgrad; Region (länderspezifisch). Für den Ehepartner bzw. Partner wurde erfragt: Erwerbstätigkeit; Wochenarbeitszeit; Beschäftigungsverhältnis; Vorgesetztenfunktion; Beruf (ISCO-88); Haupterwerbsstatus. Zusätzlich verkodet wurde: Interviewdatum; Case substitution flag; Erhebungsmethode; Gewichtungsfaktor. Evaluation of health care system in the country. Personal health. Health insurance. Themes: satisfaction with life (happiness); confidence in the educational system and the health system of the country; changes of health care system is needed; justification of better medical supply and better education for people with higher incomes; assessment of the health care system of the country (scale: estimation of improvement of the health care system, usage of health care services more than necessary, government should provide only basic health care services, inefficient health care system); willingness to pay higher taxes to improve the level of health care for all people in the country; attitude towards public funding of: preventive medical checkups, treatment of HIV/AIDS, programs to prevent obesity and conduct organ transplants; attitude towards the access to publicly funded health care for people without citizenship of the country and even if they behave in ways that damage their health; estimated part of people without access to the health care system; causes of severe health problems (behavior that damages health, environment, genes, poverty); evaluation of patients for smoking habits, age and the presence of young children for a needed heart operation; attitude towards alternative (traditional or folk) medicine (provides better solutions for health problems than conventional medicine, promises more than it is able to deliver); assessment of doctors in general in the country (scale: doctors can be trusted, discuss all treatment options with their patients, poor medical skills, more care about their earnings than about their patients, openness in dealing with mistakes during treatment); frequency of difficulties with work or household activities because of health problems, bodily aches or pains, unhappiness and depression, loss of self-confidence and insuperable problems in the past four weeks; frequency of doctor visits and of visiting an alternative (traditional/folk) health care practitioner during the past twelve months; stay in hospital or a clinic as an in-patient overnight during the last year; reasons why the respondent did not receive needed medical treatment (could not pay for it, could not take the time off work or because of other commitments, needed treatment was not available at the place of residence, too long waiting list); likelihood of getting the best treatment available in the country in the case of seriously illness and of treatment from the doctor of own choice; satisfaction with the health care system in the country; satisfaction with treatment at the last visit to a doctor, when attending alternative health care practitioner and with the last hospital stay; number of smoked cigarettes per day; frequency of drinking four or more alcoholic drinks on the same day, strenuous physical activity and of eating fresh fruit or vegetables; assessment of personal health; respondent has a long-standing illness, a chronic condition or a disability; height and weight of respondent; kind of personal health insurance; only respondents with health insurance: assessment of personal health insurance coverage. Optional items: personal health insurance covers the prescribed drugs, dental health care and in-patient health care in hospital; need of a referral from the family doctor before visiting a medical specialist; limitation of social activities with family or friends because of health problems. Demography: Sex; age; year of birth; years in school; education (country specific); highest completed degree; work status; hours worked weekly; employment relationship; number of employees; supervision of employees; number of supervised employees; type of organization: for-profit vs. non profit and public vs. private; occupation (ISCO-88); main employment status; living in steady partnership; union membership; religious affiliation or denomination (country specific); groups of religious denominations; attendance of religious services; top-bottom self-placement; vote in last general election; country specific party voted in last general election; party voted (left-right); ethnicity (country specific); number of children; number of toddlers; size of household; earnings of respondent (country specific); family income (country specific); marital status; place of living: urban – rural; region (country specific). Information about spouse and about partner on: work status; hours worked weekly; employment relationship: supervises other employees, occupation (ISCO-88); main employment status. Additionally encoded: date of interview; case substitution flag; mode of data collection; weight.

Das International Social Survey Programme (ISSP) ist ein länderübergreifendes, fortlaufendes Umfrageprogramm, das jährlich Erhebungen zu Themen durchführt, die für die Sozialwissenschaften wichtig sind. Das Programm begann 1984 mit vier Gründungsmitgliedern - Australien, Deutschland, Großbritannien und den Vereinigten Staaten - und ist inzwischen auf fast 50 Mitgliedsländer aus aller Welt angewachsen. Da die Umfragen auf Replikationen ausgelegt sind, können die Daten sowohl für länder- als auch für zeitübergreifende Vergleiche genutzt werden. Jedes ISSP-Modul konzentriert sich auf ein bestimmtes Thema, das in regelmäßigen Zeitabständen wiederholt wird. Details zur Durchführung der nationalen ISSP-Umfragen entnehmen Sie bitte der Dokumentation. Die vorliegende Studie konzentriert sich auf Fragen zu individueller Gesundheit und dem Gesundheitssystem. ISSP Health and Health Care I-II kumuliert die Daten der integrierten Datenfiles von- ISSP 2011 (ZA5800 Datendatei Version 3.0.0, https://doi.org/10.4232/1.12252) und- ISSP 2021 (ZA8000 Datendatei Version 2.0.0, https://doi.org/10.4232/5.ZA8000.2.0.0).Er umfasst Daten aus allen ISSP-Mitgliedsländern, die an mindestens zwei Modulen zum Thema Gesundheit und Gesundheitsversorgung teilnehmen. Der Datensatz enthält:- Kumulierte themenbezogene (substanzielle) Variablen, die in mindestens zwei Modulen des Gesundheitswesens und der Gesundheitsversorgung vorkommen und- Hintergrundvariablen, hauptsächlich zur Demografie, die in mindestens zwei Modulen des Bereichs Gesundheit und Gesundheitsversorgung vorkommen. Lebenszufriedenheit (Glück); Vertrauen in das nationale Gesundheitssystem; Rechtfertigung einer besseren Gesundheitsversorgung für Menschen mit höherem Einkommen; Zustimmung zu verschiedenen Aussagen über das Gesundheitssystem (Die Menschen nehmen Gesundheitsdienste mehr als nötig in Anspruch, die Regierung sollte nur begrenzte Gesundheitsdienste zur Verfügung stellen, im Allgemeinen ist das Gesundheitssystem im Land ineffizient); Bereitschaft, höhere Steuern zu zahlen, um das Niveau der Gesundheitsversorgung für alle Menschen im Land zu verbessern; Einstellung zum Zugang zur öffentlich finanzierten Gesundheitsversorgung für Menschen, die nicht die Staatsbürgerschaft des Landes besitzen, und auch dann, wenn sie sich gesundheitsschädigend verhalten; Meinung zu den Ursachen, warum Menschen unter schweren Gesundheitsproblemen leiden (gesundheitsschädigendes Verhalten, wegen der Umwelt, der sie bei der Arbeit oder am Wohnort ausgesetzt sind, wegen ihrer Gene, Armut); alternative/traditionelle oder volkstümliche Medizin bietet bessere Lösungen für Gesundheitsprobleme als die Schulmedizin/westliche traditionelle Medizin; allgemeine Beurteilung der Ärzte im Land (Ärzten kann man vertrauen, die medizinischen Fähigkeiten von Ärzten sind nicht so gut, wie sie sein sollten, Ärzte kümmern sich mehr um ihren Verdienst als um ihre Patienten); Häufigkeit von Schwierigkeiten bei der Arbeit oder im Haushalt aufgrund von Gesundheitsproblemen, körperlichen Beschwerden oder Schmerzen, Unzufriedenheit und Depressionen, Verlust des Selbstvertrauens und unüberwindbaren Problemen in den letzten vier Wochen; Häufigkeit von Arztbesuchen und Besuchen bei alternativen/traditionellen/volkstümlichen Heilpraktikern in den letzten 12 Monaten; Gründe, warum der Befragte die erforderliche medizinische Behandlung nicht in Anspruch genommen hat (konnte sie nicht bezahlen, konnte sich nicht von der Arbeit freinehmen oder hatte andere Verpflichtungen, die Warteliste war zu lang); Wahrscheinlichkeit, im Falle einer schweren Erkrankung die beste im Land verfügbare Behandlung zu erhalten; Zufriedenheit mit dem Gesundheitssystem im Land; Zufriedenheit mit der Behandlung beim letzten Arztbesuch und beim Besuch eines Heilpraktikers; Raucherstatus und Anzahl der gerauchten Zigaretten pro Tag; Häufigkeit des Konsums von vier oder mehr alkoholischen Getränken am selben Tag, von anstrengender körperlicher Betätigung von mindestens 20 Minuten und des Verzehrs von frischem Obst oder Gemüse; Einschätzung des persönlichen Gesundheitszustands; befragte Person leidet seit langem an einer Krankheit, einem chronischen Leiden oder einer Behinderung; Größe (in cm) und Gewicht (in kg); Art der persönlichen Krankenversicherung. Demographie: Geschlecht; Alter; Geburtsjahr; Status der rechtlichen Partnerschaft; fester Lebenspartner; Bildung: Jahre der Schulbildung; höchster Bildungsabschluss; derzeitiger Beschäftigungsstatus (Befragter und Partner); Beschäftigungsverhältnis (Befragter und Partner); wöchentliche Arbeitsstunden (Befragter und Partner); Beruf (ISCO 2008) (Befragter und Partner); Vorgesetztenfunktion (Befragter und Partner); Gewerkschaftsmitgliedschaft; Haushaltsgröße; Anzahl der Kinder über dem Schuleintrittsalter im Haushalt; Anzahl der Kinder unter dem Schulalter im Haushalt; Parteipräferenz (links-rechts); Teilnahme an der letzten Wahl; Besuch von Gottesdiensten; religiöse Hauptgruppen (abgeleitet); Selbsteinordnung auf einer Oben-Unten-Skala; subjektive soziale Schicht; Wohnort städtisch - ländlich; Haushaltseinkommensgruppen (abgeleitet). Zusätzlich verkodet: ID-Nummer des Befragten; eindeutige Kumulierungs-ID-Nummer des Befragten; ISSP-Moduljahr; Land; Länderstichprobe; Länderstichprobenjahr; Gewichtungsfaktor; administrative Art der Datenerhebung. The International Social Survey Programme (ISSP) is a continuous programme of cross-national collaboration running annual surveys on topics important for the social sciences. The programme started in 1984 with four founding members - Australia, Germany, Great Britain, and the United States – and has now grown to almost 50 member countries from all over the world. As the surveys are designed for replication, they can be used for both, cross-national and cross-time comparisons. Each ISSP module focuses on a specific topic, which is repeated in regular time intervals. Please, consult the documentation for details on how the national ISSP surveys are fielded. The present study focuses on questions about individual health and the health care system. ISSP Health and Health Care I-II cumulates the data of the integrated data files of • ISSP 2011 (ZA5800 Data file Version 3.0.0, https://doi.org/10.4232/1.12252) and • ISSP 2021 (ZA8000 Data file Version 2.0.0, https://doi.org/10.4232/5.ZA8000.2.0.0).It comprises data from all ISSP member countries participating in at least two Health and Health Care modules. The data set contains:• Cumulated topic-related (substantial) variables, which appear in at least two Health and Health Care and• background variables, mostly covering demographics, which appear in at least two Health and Health Care modules. Satisfaction with life (happiness); confidence in the national health care system; justification for better healthcare for people with higher incomes; agreement with various statements on the healthcare system (People use health care services more than necessary, the government should provide only limited health care services, in general, the health care system in the country is inefficient); willingness to pay higher taxes to improve the level of health care for all people in the country; attitude towards the access to publicly funded health care for people without citizenship of the country and even if they behave in ways that damage their health; opinion on causes why people suffer from severe health problems (because they behaved in ways that damaged their health, because of the environment they are exposed to at work or where they live, because of their genes, because they are poor); alternative/ traditional or folk medicine provides better solutions for health problems than mainstream/ Western traditional medicine; assessment of doctors in general in the country (doctors can be trusted, the medical skills of doctors are not as good as they should be, doctors care more about their earnings than about their patients); frequency of difficulties with work or household activities because of health problems, bodily aches or pains, unhappiness and depression, loss of self-confidence and insuperable problems in the past four weeks; frequency of visits to/ by a doctor and an alternative/ traditional/ folk health care practitioner during the past 12 months; reasons why the respondent did not receive needed medical treatment (could not pay for it, could not take the time off work or because of other commitments, the waiting list was too long); likelihood of getting the best treatment available in the country in the case of seriously illness; satisfaction with the health care system in the country; satisfaction with treatment at the last visit to a doctor and to an alternative health care practitioner; smoker status and number of smoked cigarettes per day; frequency of drinking four or more alcoholic drinks on the same day, of strenuous physical activity for at least 20 minutes, and of eating fresh fruit or vegetables; assessment of personal health status; respondent has a long-standing illness, a chronic condition, or a disability; respondent’s height (in cm) and weight (in kg); kind of personal health insurance. Demography: sex; age; years of birth; legal partnership status; steady life partner; education: years of schooling; highest education level; currently, formerly, or never in paid work (respondent and partner); employment relationship (respondent and partner); current employment status (respondent and partner); hours worked weekly (respondent and partner); occupation (ISCO 2008) (respondent and partner); supervising function at work (respondent and partner); number of other employees supervised; type of organization: for-profit vs. non-profit and public vs. private; trade union membership; household size; number of children above school entry age in household; number of children below school age in household; party affiliation (left-right);

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.

Determinants of good ratings of poor quality.

The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among Member States (MS) the health status (including disability), health determinants (lifestyle) of the EU citizens and use of health care services and limitations in accessing it.

The general coverage of the survey is the population aged 15 or over living in private households residing in the territory of the country.

EHIS was developed between 2003 and 2006. It consists of four modules on health status, health determinants, health care, and background variables (socio-demographic characteristics of the population).

Three waves of EHIS have currently been implemented. The first wave of EHIS (EHIS wave 1 or EHIS round 2008) was conducted between 2006 and 2009 in 17 EU Member States as well as Switzerland and Turkey.

The second wave (EHIS wave 2 or EHIS round 2014) was conducted between 2013 and 2015 in all EU Member States, Iceland, Norway and Turkey according to the Commission Regulation 141/2013.

The third wave of EHIS was conducted in 2019. All Member States participated in the EHIS wave 3 in accordance with the Commission Regulation (EU) No. 2018/255. A derogation regarding the data collection period was granted for some countries: the data collection period was 2018 for Belgium, 2018-2020 for Austria and Germany, and 2019-2020 for Malta.

The questionnaire consists of the same four modules for all the EHIS waves and over the years, some changes to the questionnaire have been implemented to satisfy specific users’ needs. Also, countries are allowed to include additional questions in the specific submodules or even specific sub-modules in the survey if this does not have an impact on the results of the compulsory variable

EHIS includes the following topics:

Health status
This topic includes different dimensions of health status and health-related activity limitations:

• General health status (Minimum European health module): self-perceived health, chronic morbidity and disability (activity limitation)
• Disease-specific morbidity
• Accidents and injuries
• Health-related absenteeism from work
• Physical and sensory functional limitations (also cognitive limitations in wave 3)
• Difficulties in personal care activities / activities of daily living (such as eating and washing) and help received/needed
• Household activities / Instrumental activities of daily living (such as preparing meals and shopping) and help received/needed
• Pain
• Aspect of mental health (psychological distress and mental well-being in the first wave, depressive symptoms in the second and third waves)
• Work-related health problems (only in the first wave).

Health care
This topic covers the use of different types of medicines and formal and informal health and social care services, which are complemented by data on health-related expenditure, and limitations in access to and satisfaction with health care services:

• Hospitalisation (in-patient and day care)
• Consultations with doctors and dentists
• Visits to specific health professionals (such as physiotherapists or psychologists)
• Use of home care services
• Use of medicines (prescribed and non-prescribed)
• Healthcare preventive actions (such as influenza vaccination, breast examination, cervical smear test and blood tests)
• Unmet needs for health care
• Out-of-pocket payments for medical care (only in the first wave)
• Satisfaction with services provided by healthcare providers (only in the first wave)
• Visits to specific categories of alternative medicine practitioners (only in the first wave).

Health determinants
This topic includes various individual and environmental health determinants:

• Height and weight
• Physical activity/exercise
• Consumption of fruits, vegetables and juice
• Drinking sugar-sweetened soft drinks (only in the third wave)
• Tobacco smoking behaviour and exposure to tobacco smoke
• Use of e-cigarettes or similar electronic devices (only in the third wave)
• Alcohol consumption
• Social support
• Provision of informal care or assistance (only in the second and third waves)
• Illicit drug use (only in the first wave)
• Environment (home and workplace exposures, criminality exposure) (only in the first wave).

Background variables on demography and socio-economic characteristics.

All indicators are expressed as percentages within the population and statistics are broken down by age and sex and one other dimension such as educational attainment level, income quintile group, degree of urbanization, country of birth, country of citizenship, level of disability (activity limitation).

This study is a systematic review and meta-analysis conducted to evaluate global disparities in nursing care quality, health system readiness, and patient satisfaction, with particular reference to Sustainable Development Goal (SDG) progress.

Following PRISMA 2020 guidelines, a comprehensive search was performed across PubMed, CINAHL, Scopus, Web of Science, Cochrane Library, and gray literature sources (WHO, World Bank, OECD). The search covered evidence from 11 countries representing diverse health system contexts: • Fragile/LICs: Burundi, Afghanistan, South Sudan • LMICs: Bangladesh, Cambodia, Philippines • UMICs: Brazil, Albania • HICs: Germany, South Korea, United States

Studies were included if they reported on nursing-sensitive quality indicators (NSQIs) such as staffing ratios, pressure injuries, patient falls, mortality, technology readiness, and patient satisfaction.

Objectives 1. To compare nursing workforce capacity, hospital facilities, and SDG-related progress across different income groups. 2. To evaluate patient satisfaction outcomes across contexts through meta-analysis. 3. To assess risk of bias and certainty of evidence (ROBINS-I, JBI, GRADE). 4. To identify evidence gaps for nursing-sensitive quality indicators globally.

Key Findings • Fragile states had the weakest nurse-to-patient ratios, lowest hospital readiness, and minimal SDG progress. • LMICs showed improvements but persistent rural–urban disparities and migration challenges. • UMICs achieved moderate outcomes but faced regional inequities. • HICs demonstrated advanced facilities, high patient satisfaction, and stronger SDG integration, though workforce burnout was reported. • Meta-analysis revealed significantly higher patient satisfaction in HICs compared to LICs (SMD = 0.62; 95% CI 0.50–0.74). • Risk of bias was higher in LIC/LMIC studies, while publication bias was suggested by funnel plot asymmetry.

Implications

Findings highlight that nursing care quality reflects broader global health inequities. Strengthening the nursing workforce, infrastructure, and patient-centered strategies is essential to advance SDGs, particularly in fragile and low-resource contexts.

This data was generated from a 14-country evaluation of rural outpatient healthcare facilities, and describes water service, sanitation facilities, hygiene facilities, healthcare waste management, administration and training, and satisfaction with services. The evaluation was conducted in World Vision WaSH program areas, as well as comparison areas, in Ethiopia, Ghana, Honduras, India, Kenya, Malawi, Mali, Mozambique, Niger, Rwanda, Tanzania, Uganda, Zambia, and Zimbabwe. Note that this dataset is unweighted.

Remote Patient Monitoring Connectivity Market Outlook

According to our latest research, the global remote patient monitoring connectivity market size stood at USD 7.8 billion in 2024, reflecting the rapid adoption of digital healthcare solutions worldwide. The market is projected to grow at a robust CAGR of 18.6% from 2025 to 2033, reaching an estimated value of USD 38.2 billion by 2033. This significant growth is primarily driven by the increasing prevalence of chronic diseases and the rising demand for connected healthcare devices that enable continuous, real-time patient monitoring outside traditional clinical settings.

One of the key growth factors propelling the remote patient monitoring connectivity market is the surging global burden of chronic illnesses such as diabetes, cardiovascular diseases, and respiratory disorders. As healthcare systems worldwide grapple with aging populations and the need for cost-effective care delivery, remote monitoring solutions have emerged as a vital tool for early intervention, reducing hospital readmissions, and improving patient outcomes. The integration of advanced connectivity technologies, such as Bluetooth, Wi-Fi, and cellular networks, has enabled seamless data transmission from patient devices to healthcare providers, facilitating timely clinical decisions and personalized care management. Furthermore, the COVID-19 pandemic has accelerated the adoption of remote patient monitoring by highlighting the necessity of minimizing in-person visits while maintaining high standards of care.

Another significant driver for market expansion is the technological advancements in medical devices and software platforms. The evolution of user-friendly, interoperable devices and sophisticated data analytics platforms has enhanced the reliability and accuracy of remote patient monitoring systems. Software innovations now enable real-time alerts, predictive analytics, and integration with electronic health records (EHRs), empowering clinicians to proactively manage patient health. Additionally, the proliferation of wearable devices and mobile health applications has broadened patient engagement, allowing individuals to actively participate in their own care. These technological enhancements have also attracted substantial investments from both public and private sectors, further fueling market growth.

The growing emphasis on value-based healthcare and the shift towards home-based care models are also pivotal to the remote patient monitoring connectivity market’s trajectory. Payers and providers are increasingly recognizing the economic and clinical benefits of remote monitoring, such as reduced healthcare costs, improved patient satisfaction, and enhanced disease management. Governments in several countries have implemented supportive reimbursement policies and regulatory frameworks, encouraging the adoption of remote monitoring solutions across diverse healthcare settings. Moreover, partnerships between technology firms and healthcare organizations have accelerated the deployment of scalable, secure connectivity platforms, making remote monitoring accessible to a broader patient population.

From a regional perspective, North America currently dominates the remote patient monitoring connectivity market, owing to its advanced healthcare infrastructure, high adoption rate of digital health technologies, and favorable regulatory environment. However, Asia Pacific is anticipated to witness the fastest growth during the forecast period, driven by increasing healthcare digitization, rising chronic disease prevalence, and expanding telehealth initiatives in countries such as China, India, and Japan. Europe also holds a significant market share, supported by robust healthcare systems and growing investments in eHealth solutions. Meanwhile, Latin America and Middle East & Africa are gradually emerging as promising markets, propelled by improving healthcare access and rising awareness of connected care solutions.

Component Analysis

The remote patient monitoring connectivity market is segmented by component into devices, software, and services. Each of these components plays a crucial role in the successful deployment and functioning of remote patient monitoring systems. Devices form the backbone of the ecosystem, enabling the collection of vital patient data such as heart rate, blood glucose levels, and respiratory parameters. The increasing sophistication of these devices, including wearable sensors,

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Medical Tourism Market Size 2025-2029

The medical tourism market size is valued to increase USD 132.8 billion, at a CAGR of 36.6% from 2024 to 2029. Availability of low-cost treatment options will drive the medical tourism market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 34% growth during the forecast period.
By Source - Domestic segment was valued at USD 10.20 billion in 2023
By Service Type - Private segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 1.00 billion
Market Future Opportunities: USD 132.80 billion
CAGR : 36.6%
APAC: Largest market in 2023

Market Summary

The market encompasses the global healthcare industry's trend of patients traveling to different countries for more affordable and advanced medical treatments. Core technologies and applications, such as telemedicine and medical tourism platforms, are revolutionizing the industry, making it more accessible and convenient for patients. Medical tourism is projected to reach a value of USD 102.2 billion by 2023, representing a significant growth in demand for low-cost treatment options. However, the market faces challenges, including the lack of advanced infrastructure in developing nations and regulatory complexities.
Despite these hurdles, the growing focus on technological advancements offers immense opportunities for market expansion and innovation. For instance, the adoption rate of telemedicine is expected to reach 70% by 2025, providing a viable solution for patients seeking affordable and accessible healthcare services.

What will be the Size of the Medical Tourism Market during the forecast period?

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How is the Medical Tourism Market Segmented and what are the key trends of market segmentation?

The medical tourism industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Source

  Domestic
  International


Service Type

  Private
  Public


Type

  Cardiovascular treatment
  Cosmetic treatment
  Fertility treatment
  Orthopedics treatment
  Others


Geography

  North America

    US
    Canada


  Europe

    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Singapore
    South Korea


  Rest of World (ROW)

By Source Insights

The domestic segment is estimated to witness significant growth during the forecast period.

The market is experiencing substantial growth, with patient referral networks and healthcare translation services playing crucial roles in connecting patients with specialized medical facilities. According to recent estimates, the market for medical tourism is projected to expand by 25% by 2025, driven by increasing demand for affordable, high-quality healthcare services. Healthcare facility accreditation, cultural sensitivity training, and patient transport logistics are essential considerations for medical tourism facilitators, ensuring ethical and effective care for international patients. Regulations governing medical tourism are evolving, with a focus on quality assurance programs, remote patient monitoring, and destination healthcare choices. Treatment outcome metrics, medical visa requirements, and patient satisfaction surveys are essential indicators of market performance.

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The Domestic segment was valued at USD 10.20 billion in 2019 and showed a gradual increase during the forecast period.

Telemedicine consultations and treatment cost comparisons enable patients to make informed decisions about their care, while advanced medical equipment and diagnostic imaging technology contribute to improved treatment outcomes. Procedural specialization centers, digital health platforms, pre-operative assessments, and post-operative recovery services are key areas of innovation, with personalized treatment plans and cross-border healthcare access becoming increasingly important. The integration of ethical considerations and second medical opinions further enhances the value proposition of medical tourism, attracting an increasing number of patients seeking advanced surgical procedures and specialized care. From 2025 to 2029, the domestic segment of the market is expected to grow by 30%, driven by hospital infrastructure quality, quality assurance programs, and the increasing popularity of medical travel packages.

The ongoing unfolding of these trends underscores the dynamic and evolving nature of the medical tourism industry, offering significant opportunities for growth and innovation across various sectors.

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Regional Analysis

APAC is estimated to contribute 34% to the growth of the