60 datasets found
  1. Opinion on the length of healthcare waiting times in European countries 2024...

    • statista.com
    Updated Nov 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Opinion on the length of healthcare waiting times in European countries 2024 [Dataset]. https://www.statista.com/statistics/889396/opinion-on-length-of-healthcare-waiting-times-in-europe-by-country/
    Explore at:
    Dataset updated
    Nov 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 26, 2024 - Aug 9, 2024
    Area covered
    Europe
    Description

    According to the 2024 survey, ** percent of individuals in Hungary believed waiting times were too long. Even the best-performing country, Switzerland, still had over a quarter of Swiss respondents saying wait times were too long for a doctor's appointment. This statistic displays the share of individuals who thought waiting times to get an appointment with doctors were too long in select European countries in 2024.

  2. Waiting times for physician and elective surgery appointments worldwide 2023...

    • statista.com
    Updated Jun 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Waiting times for physician and elective surgery appointments worldwide 2023 [Dataset]. https://www.statista.com/statistics/1371632/healthcare-waiting-times-for-appointments-worldwide/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    According to a report carried out by the Consumer Choice Center in 2023, the United States had the ******* average wait for a primary physician appointment at almost ***** weeks. On the other hand, those in *********** only had to wait around *** days for an appointment. In Spain, it was estimated that the average wait time for an elective surgery appointment was ** days.

  3. Median wait times from referral to treatment in Canada 1993-2024, by...

    • statista.com
    Updated Dec 15, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Median wait times from referral to treatment in Canada 1993-2024, by province [Dataset]. https://www.statista.com/statistics/654494/weeks-waited-from-gp-referral-to-medical-treatment-in-canada-by-province/
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1993 - 2024
    Area covered
    Canada
    Description

    Since 1993, the average waiting time for specialist medical treatment has been increasing in Canada. In 2024, it took someone in Ontario over 23 weeks wait to receive medical treatment after being referred by a general practitioner, whereas it took only nine weeks back in 1993. Overall, the average waiting time increased by 20 weeks in the country.

  4. S1 Data -

    • plos.figshare.com
    xlsx
    Updated May 2, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Soud Seif; Jasmit Shah; Ali Chandani; Sayed K. Ali (2025). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0322015.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Soud Seif; Jasmit Shah; Ali Chandani; Sayed K. Ali
    License

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

    Description

    IntroductionPatients often spend significant time waiting for care, which influences patient satisfaction, perceived quality, access to care, and utilization of various health care services. Waiting time and resulting implications remain understudied in low- and middle-income countries like Kenya. This study aimed to describe the impact on the perception of waiting times on patient satisfaction and care at a tertiary healthcare institution in Kenya.MethodWe conducted a prospective cross-sectional study between the first of April 2023 and the thirty-first of August 2023 at the Emergency Room (ER) at Aga Khan University Hospital, Nairobi. Data was collected through a structured questionnaire examining demographics and patient wait times. Descriptive statistics were summarized using frequencies and percentages, and univariate analyses using Fisher’s exact test were conducted for group comparisons.ResultsA total of 941 patients participated in the study, with 52.0% being females and 53.6% in the 20–40-year age group. More than half of the patients were married (52.4%), had a university education (75.9%), and were employed (70.6%). Of the patients who took the survey, 51.1% reported waiting for 31–60 minutes, while 25.4% reported waiting for more than 60 minutes. Most patients presented to the ER on Monday, most frequently between 0800 and 1200 hrs. Most patients (70.8%) were likely to return for care and 71.7% were likely to recommend care at the ER to relatives and friends.ConclusionSpecific days and times of visits to the ER were associated with prolonged waiting times. To reduce waiting times and improve access to healthcare services, facilities should consider increasing the number of healthcare providers during these peak hours to ensure timely and quality consultations. Identifying bottlenecks and gridlocks within healthcare facilities is crucial to developing an efficient blueprint that aims to improve waiting times, leading to improved patient satisfaction and care.

  5. VHA hospitals Timely Care Data

    • kaggle.com
    zip
    Updated Jan 28, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The Devastator (2023). VHA hospitals Timely Care Data [Dataset]. https://www.kaggle.com/datasets/thedevastator/vha-hospitals-timely-care-data/discussion
    Explore at:
    zip(45827 bytes)Available download formats
    Dataset updated
    Jan 28, 2023
    Authors
    The Devastator
    Description

    VHA hospitals Timely Care Data

    Performance on Clinical Measures and Processes of Care

    By US Open Data Portal, data.gov [source]

    About this dataset

    This dataset provides an inside look at the performance of the Veterans Health Administration (VHA) hospitals on timely and effective care measures. It contains detailed information such as hospital names, addresses, census-designated cities and locations, states, ZIP codes county names, phone numbers and associated conditions. Additionally, each entry includes a score, sample size and any notes or footnotes to give further context. This data is collected through either Quality Improvement Organizations for external peer review programs as well as direct electronic medical records. By understanding these performance scores of VHA hospitals on timely care measures we can gain valuable insights into how VA healthcare services are delivering values throughout the country!

    More Datasets

    For more datasets, click here.

    Featured Notebooks

    • 🚨 Your notebook can be here! 🚨!

    How to use the dataset

    This dataset contains information about the performance of Veterans Health Administration hospitals on timely and effective care measures. In this dataset, you can find the hospital name, address, city, state, ZIP code, county name, phone number associated with each hospital as well as data related to the timely and effective care measure such as conditions being measured and their associated scores.

    To use this dataset effectively, we recommend first focusing on identifying an area of interest for analysis. For example: what condition is most impacting wait times for patients? Once that has been identified you can narrow down which fields would best fit your needs - for example if you are studying wait times then “Score” may be more valuable to filter than Footnote. Additionally consider using aggregation functions over certain fields (like average score over time) in order to get a better understanding of overall performance by factor--for instance Location.

    Ultimately this dataset provides a snapshot into how Veteran's Health Administration hospitals are performing on timely and effective care measures so any research should focus around that aspect of healthcare delivery

    Research Ideas

    • Analyzing and predicting hospital performance on a regional level to improve the quality of healthcare for veterans across the country.
    • Using this dataset to identify trends and develop strategies for hospitals that consistently score low on timely and effective care measures, with the goal of improving patient outcomes.
    • Comparison analysis between different VHA hospitals to discover patterns and best practices in providing effective care so they can be shared with other hospitals in the system

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

    Columns

    File: csv-1.csv | Column name | Description | |:-----------------------|:-------------------------------------------------------------| | Hospital Name | Name of the VHA hospital. (String) | | Address | Street address of the VHA hospital. (String) | | City | City where the VHA hospital is located. (String) | | State | State where the VHA hospital is located. (String) | | ZIP Code | ZIP code of the VHA hospital. (Integer) | | County Name | County where the VHA hospital is located. (String) | | Phone Number | Phone number of the VHA hospital. (String) | | Condition | Condition being measured. (String) | | Measure Name | Measure used to measure the condition. (String) | | Score | Score achieved by the VHA h...

  6. Long waiting lists encountered when accessing mental health services in...

    • statista.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista, Long waiting lists encountered when accessing mental health services in Europe 2023 [Dataset]. https://www.statista.com/statistics/1418304/experience-of-long-waiting-lists-for-mental-health-services-in-europe/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 14, 2023 - Jun 21, 2023
    Area covered
    Europe
    Description

    In 2023, Spain and Germany were the countries with the highest share of people who encountered long waiting lists when accessing mental health services with ** percent and ** percent respectively. On the other hand, Romania and Bulgaria were the countries with the lowest share of people indicating problems with long waiting lists to access mental health services.

  7. e

    2821|HEALTH BAROMETER 2009 (Third OIL)

    • data.europa.eu
    unknown
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centro de Investigaciones Sociológicas, 2821|HEALTH BAROMETER 2009 (Third OIL) [Dataset]. https://data.europa.eu/data/datasets/https-datos-gob-es-catalogo-ea0022266-3067preelectoral-elecciones-autonomicas-2015-principado-de-asturias?locale=en
    Explore at:
    unknownAvailable download formats
    Dataset authored and provided by
    Centro de Investigaciones Sociológicas
    License

    http://www.cis.es/cis/opencms/ES/Avisolegal.htmlhttp://www.cis.es/cis/opencms/ES/Avisolegal.html

    Description
    • Area of greatest interest to citizens: defence, education, health, housing, pensions, transport, citizen security or social services.
    • Opinion on the Spanish health system.
    • Form of financing of public health in Spain.
    • Satisfaction scale with the functioning of the Spanish health system.
    • Agreement with sentences on the consequences of the application of the Tobacco Law.
    • Possession of children or grandchildren under 18 years of age, and between 11 and 18 years of age.
    • Agreement with a law limiting the consumption of alcohol to those under 18 years (1-10).
    • Reasons for choosing a public or private health service.
    • Type of health service, public or private, that would be used in case of needing to go to a consultation, in the event of suffering from a serious illness.
    • The type of healthcare to which you are entitled.
    • Possession of private health insurance. Payer of such insurance.
    • Type of health service, public or private, used. Reasons why you never go to the doctor.
    • Possession of the regional health card.
    • Need for healthcare outside the Autonomous Community of residence. Health services used outside the autonomous community of residence.
    • Consultations to the GP in the last year. Number of times.
    • Assessment of the care received in general medicine and comparison with the expected care.
    • Appointment request at the health center (coincidence between the day of the request and the appointment. Waiting time between the request and the day of the appointment at the health center.
    • Agreement with some phrases referring to different aspects of your health center: the center informs about the offer of services, manages the health card, solves doubts,...
    • Satisfaction scale with various aspects of the care received in public health in the general medical/pediatric consultation, in specialized care and in hospitals.
    • Assistance to the emergency service in the last year, number of visits and type of service ultilized. Main cause for going to a public hospital emergency department and reason for choosing a hospital.
    • Speed and assessment of the care received in emergencies.
    • Assistance to the specialist doctor in the last year, number of visits and type of ultilized service. Time to consultation.
    • Assessment of the care received in the consultation of the public health specialist and comparison with the expected care. Specialty she went to. Communication between the GP and the public health specialist.
    • Assessment of aspects related to the care provided in specialized care consultations: time dedicated to the user, not specialties with access, waiting time,...
    • Hospital admission in the last year and type of Hospital, public or private.
    • In case of hospitalization in a public hospital in the last year: main cause of admission and assignment during the hospital stay of a responsible doctor.
    • Information on the time it would take to enter for operation.
    • Assessment of the care received in Public Hospital and comparison with the expected care.
    • Rating scale on the information provided by public health services.
    • Opinion on whether the health authorities are carrying out measures to improve waiting lists and on the evolution of waiting lists in the last year.
    • Opinion on equal health benefits for all citizens regardless of: the autonomous community of residence, the age and gender, the area (rural or urban) in which you reside and the social level, country of origin, residence status.
    • Developments in the last five years of health care services: primary, specialised and hospital care.
    • Comparison of the health services received in the Community of residence with respect to others.
    • Comparison between the health service provided by the Community or by the State.
    • Opinion on the desirability of the Autonomous Communities agreeing to provide new health services.
    • Frequency of monitoring news about errors in healthcare.
    • Errors in healthcare in Spain and their importance.
    • Confidence in the work of various healthcare professionals: doctors, nurses and other health personnel.
    • Errors in health care to the interviewee or family and severity thereof.
    • Nationality of the interviewee and non-Spanish interviewee. Time of acquisition of Spanish nationality. Level of knowledge of Spanish of the interviewee and attributed.
    • Place of birth (country).
  8. Healthcare Tourism Market Size By Service Type (Cosmetic Surgery,...

    • verifiedmarketresearch.com
    pdf,excel,csv,ppt
    Updated Jun 26, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Verified Market Research (2025). Healthcare Tourism Market Size By Service Type (Cosmetic Surgery, Cardiovascular Procedures), By Purpose (Elective Surgery, Wellness Tourism), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/healthcare-tourism-market/
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2026 - 2032
    Area covered
    Global
    Description

    Healthcare Tourism Market size was valued at USD 110.75 Billion in 2024 and is projected to reach USD 250.66 Billion by 2032, growing at a CAGR of 10.75% during the forecast period. i.e., 2026-2032.may include:• Cost Savings Opportunity: Medical procedures in popular healthcare tourism destinations can cost 40-80% less than in developed countries, attracting patients seeking affordable treatment without compromising quality. This substantial price differential remains a primary driver for cross-border healthcare seekers.• Quality Healthcare Access: Internationally accredited hospitals with state-of-the-art facilities and highly qualified physicians in countries like Thailand, India, and Turkey offer comparable or superior care to domestic options, driving patients to seek treatment abroad.• Reduced Wait Times: Patients from countries with long healthcare queues choose medical tourism to receive immediate treatment rather than waiting months for procedures. This immediate access prevents condition deterioration and improves overall treatment outcomes.• Specialized Treatment Availability: Some destinations offer cutting-edge procedures or specialized treatments not yet approved or available in patients' home countries, attracting those seeking innovative therapies, experimental procedures, or alternative medicine options.

  9. S1 Data -

    • plos.figshare.com
    xlsx
    Updated Jun 2, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Abeer Alharbi; Ranya S. Almana; Mohammed Aljuaid (2023). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0285616.s002
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Abeer Alharbi; Ranya S. Almana; Mohammed Aljuaid
    License

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

    Description

    ObjectiveThe coronavirus disease (COVID-19) disrupted healthcare systems and medical care worldwide. This study attempts to assess the performance of three Saudi hospitals during COVID-19 by comparing waiting times for outpatient appointments and the volume of elective surgeries before and after COVID-19.MethodsWe used ADA’A data collected from three Saudi hospitals for this retrospective cohort study. The outcome variables were “Waiting Time for Appointment” and “Elective OR Utilization”. The hospitals included in this study were: a 300-bed maternity and children’s hospital; a 643-bed general hospital; and a 1230-bed tertiary hospital. We included all patients who visited the OPD and OR in the time period from September 2019 to December 2021. A two-way ANOVA test was used to examine the differences in the outcome variables by hospital and by the phase of COVID-19.ResultsFor the elective OR utilization rate, the results showed that both the hospital and the phase of COVID-19 were significantly different (p-value < 0.05). On average, the elective OR utilization rate dipped considerably in the early phase of COVID-19 (33.2% vs 44.9%) and jumped sharply in the later phase (50.3%). The results showed that the waiting time for OPD appointment was significantly different across hospitals and before and after COVID-19 in each hospital (p-value < 0.05). the waiting time dropped during the early phase of COVID-19 for both the general hospital (GEN) (24.6 days vs 34.8 days) and the tertiary hospital (MDC) (40.3 days vs 48.6 days), while the maternity and children’s hospital (MCH)’s score deteriorated sharply (24.6 days vs 9.5 days).ConclusionThis study indicates that COVID-19 led to a significant impact on elective surgery rates and waiting time for OPD appointments in the early stage of the pandemic when the lockdown strategy was implemented in the country. Although the elective surgery rate had decreased at the designated COVID-hospital, the waiting time for OPD appointment had improved. This is a clear indication that the careful planning and management of resources for essential services during pandemic was effective.

  10. f

    Expected wait times.

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Kevin Davey; Sumin Jacob; Nilesh Prasad; Manjula Shri; Richard Amdur; Janice Blanchard; Jeffrey Smith; Katherine Douglass (2023). Expected wait times. [Dataset]. http://doi.org/10.1371/journal.pgph.0000009.t008
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS Global Public Health
    Authors
    Kevin Davey; Sumin Jacob; Nilesh Prasad; Manjula Shri; Richard Amdur; Janice Blanchard; Jeffrey Smith; Katherine Douglass
    License

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

    Description

    Expected wait times.

  11. D

    Medical Records Access For Travelers Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2025). Medical Records Access For Travelers Market Research Report 2033 [Dataset]. https://dataintelo.com/report/medical-records-access-for-travelers-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Medical Records Access for Travelers Market Outlook



    According to our latest research, the global Medical Records Access for Travelers market size in 2024 stands at USD 3.1 billion, with the market exhibiting a robust CAGR of 14.6% during the forecast period. By 2033, the market is projected to reach a value of USD 10.2 billion, reflecting the growing demand for seamless and secure access to medical records by travelers worldwide. The primary growth factor driving this market is the increasing globalization of travel and the critical need for accessible, interoperable healthcare data for individuals on the move.




    The rapid expansion in international travel, both for leisure and business, is a significant catalyst for the growth of the Medical Records Access for Travelers market. As more individuals traverse borders, the necessity for quick and reliable access to personal health information becomes paramount. This is particularly crucial in emergency medical situations, where timely access to accurate health records can be life-saving. The proliferation of digital health solutions, combined with the rising prevalence of chronic diseases among travelers, has further underscored the need for efficient medical records access. Additionally, the integration of advanced technologies such as blockchain and artificial intelligence into these solutions is enhancing data security and interoperability, making it easier for healthcare providers to retrieve and utilize patient information, regardless of geographic location.




    Another major growth driver is the increasing adoption of cloud-based and mobile health platforms. These technologies enable travelers to access their medical records from any location, using a variety of devices. The convenience offered by mobile applications and web portals has led to widespread acceptance among tech-savvy travelers, while cloud-based platforms provide scalability and data backup solutions that are essential for healthcare providers and insurance companies. Furthermore, the ongoing digital transformation in the healthcare sector is encouraging governments and regulatory bodies to establish standards and frameworks that facilitate secure cross-border data exchange, thereby supporting the market’s expansion.




    The growing popularity of medical tourism is also contributing to the surge in demand for accessible medical records among travelers. As patients increasingly seek healthcare services abroad for cost savings, specialized treatments, or shorter waiting times, the ability to transfer comprehensive health data between home and destination countries becomes a critical requirement. This trend is prompting healthcare providers and third-party service vendors to invest in interoperable solutions that streamline the sharing of medical information, improve patient outcomes, and enhance the overall travel experience. The synergy between healthcare providers, technology firms, and regulatory authorities is fostering an ecosystem that supports the secure and efficient movement of health information across borders.




    From a regional perspective, North America currently dominates the Medical Records Access for Travelers market, owing to its advanced healthcare infrastructure, high rate of digital health adoption, and the presence of leading technology providers. Europe follows closely, driven by the region’s strong regulatory framework and proactive initiatives to promote health data interoperability. The Asia Pacific region, meanwhile, is witnessing the fastest CAGR, fueled by a booming travel industry, increasing investments in healthcare IT, and rising awareness about the importance of accessible medical records for travelers. Latin America and the Middle East & Africa are gradually catching up, supported by government-led digital health programs and growing cross-border travel flows.



    Solution Type Analysis



    The Solution Type segment of the Medical Records Access for Travelers market is broadly categorized into Cloud-Based, On-Premises, Mobile Applications, and Web Portals. Cloud-Based solutions have emerged as the leading choice, primarily due to their scalability, flexibility, and ability to facilitate real-time access to health data from anywhere in the world. These solutions are particularly beneficial for travelers who may need to retrieve or share their medical records while moving across different countries or regions. The adoption of cloud technology also enables healthcare provi

  12. f

    Baseline characteristics of participants according to the time of data...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Oct 12, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Alessandra C. Goulart; Ana C. Varella; Tiffany E. Gooden; Gregory Y. H. Lip; Kate Jolly; G. Neil Thomas; Paulo A. Lotufo; Sheila Greenfield; Rodrigo D. Olmos; Isabela M. Bensenor; Semira Manaseki-Holland (2023). Baseline characteristics of participants according to the time of data collection and in total; figures are presented as N (%) unless otherwise stated. [Dataset]. http://doi.org/10.1371/journal.pone.0292463.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Oct 12, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Alessandra C. Goulart; Ana C. Varella; Tiffany E. Gooden; Gregory Y. H. Lip; Kate Jolly; G. Neil Thomas; Paulo A. Lotufo; Sheila Greenfield; Rodrigo D. Olmos; Isabela M. Bensenor; Semira Manaseki-Holland
    License

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

    Description

    Baseline characteristics of participants according to the time of data collection and in total; figures are presented as N (%) unless otherwise stated.

  13. Impacts from the COVID-19 pandemic on AF follow-up care, as mentioned by...

    • plos.figshare.com
    xls
    Updated Oct 12, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Alessandra C. Goulart; Ana C. Varella; Tiffany E. Gooden; Gregory Y. H. Lip; Kate Jolly; G. Neil Thomas; Paulo A. Lotufo; Sheila Greenfield; Rodrigo D. Olmos; Isabela M. Bensenor; Semira Manaseki-Holland (2023). Impacts from the COVID-19 pandemic on AF follow-up care, as mentioned by participants. [Dataset]. http://doi.org/10.1371/journal.pone.0292463.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Oct 12, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Alessandra C. Goulart; Ana C. Varella; Tiffany E. Gooden; Gregory Y. H. Lip; Kate Jolly; G. Neil Thomas; Paulo A. Lotufo; Sheila Greenfield; Rodrigo D. Olmos; Isabela M. Bensenor; Semira Manaseki-Holland
    License

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

    Description

    Impacts from the COVID-19 pandemic on AF follow-up care, as mentioned by participants.

  14. E

    Europe Medical Tourism Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Report Analytics (2025). Europe Medical Tourism Market Report [Dataset]. https://www.marketreportanalytics.com/reports/europe-medical-tourism-market-96324
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The European medical tourism market, valued at €15.80 billion in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 17.82% from 2025 to 2033. This significant expansion is driven by several key factors. Firstly, the increasing affordability and accessibility of advanced medical treatments in certain European countries attract patients from regions with higher healthcare costs or limited access to specialized care. Secondly, the rising prevalence of chronic diseases across Europe and globally fuels demand for sophisticated treatments and procedures readily available in specialized European medical facilities. Furthermore, the superior quality of care, advanced medical technology, and shorter waiting times offered by many European hospitals are strong incentives for medical tourism. Finally, effective marketing and promotion by hospitals and specialized medical tourism agencies contribute to increased market visibility and patient acquisition. Market segmentation reveals that neurology, aesthetics, dental, cardiovascular, orthopedic, and cancer treatments are major contributors to the overall market value. Germany, the United Kingdom, France, and Italy are expected to be the leading national markets, reflecting their established medical infrastructure and reputation for excellence. However, growth is also anticipated in other European countries as they invest in improving their healthcare infrastructure and promoting their medical tourism capabilities. The competitive landscape involves both large hospital networks (like Helios Hospitals and The Royal Marsden) and specialized clinics, each targeting specific segments of the medical tourism market. While regulatory frameworks and potential risks associated with medical tourism act as restraints, the overall market outlook remains very positive, driven by patient demand and ongoing innovation within the European healthcare sector. Recent developments include: May 2023: The Cherwell Hospital launched its new installation of Surgicube, Ophthalmology Suite. The Surgicube equipment provides an ultra-clean airflow across the operating surface, and the Cherwell Hospital is one of the two hospitals across Ramsay, United Kingdom, to have this state-of-the-art equipment., May 2023: ReGenesis signed a partnership with Now Hair Time Hair Transplant Turkey to assist its Western Canada clients with an affordable hair transplantation service.. Key drivers for this market are: Rising Burden of Chronic Diseases, Rising Awareness about Medical Tourism and Government Initiatives; Advanced Medical Infrastructure and Medical Care Services. Potential restraints include: Rising Burden of Chronic Diseases, Rising Awareness about Medical Tourism and Government Initiatives; Advanced Medical Infrastructure and Medical Care Services. Notable trends are: The Cosmetic Treatment Segment is Expected to Witness Significant Growth During the Forecast Period.

  15. Descriptive characteristics of the seventeen studies included for the review...

    • plos.figshare.com
    xls
    Updated Jun 6, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dimuthu Rathnayake; Mike Clarke; Viraj Jayasinghe (2023). Descriptive characteristics of the seventeen studies included for the review and their overall quality assessment. [Dataset]. http://doi.org/10.1371/journal.pone.0256578.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Dimuthu Rathnayake; Mike Clarke; Viraj Jayasinghe
    License

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

    Description

    Descriptive characteristics of the seventeen studies included for the review and their overall quality assessment.

  16. n

    Medical Tourism Market Size, Trends & Outlook, By Treatment Type (Cosmetic,...

    • novatrendsmarketintelligence.com
    Updated Oct 14, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Medical Tourism Market Size, Trends & Outlook, By Treatment Type (Cosmetic, Dental, Orthopedic, Fertility, Cardiovascular), By Traveler Origin (North America, Europe, Middle East), By Destination Country, By Service Provider (Clinics, Multi-Specialty Hospitals), By Region, 2025–2032 creator (2025). Medical Tourism Market Size, Trends & Outlook, By Treatment Type (Cosmetic, Dental, Orthopedic, Fertility, Cardiovascular), By Traveler Origin (North America, Europe, Middle East), By Destination Country, By Service Provider (Clinics, Multi-Specialty Hospitals), By Region, 2025–2032 [Dataset]. https://novatrendsmarketintelligence.com/report-details/medical-tourism-market
    Explore at:
    Dataset updated
    Oct 14, 2025
    Dataset authored and provided by
    Medical Tourism Market Size, Trends & Outlook, By Treatment Type (Cosmetic, Dental, Orthopedic, Fertility, Cardiovascular), By Traveler Origin (North America, Europe, Middle East), By Destination Country, By Service Provider (Clinics, Multi-Specialty Hospitals), By Region, 2025–2032 creator
    License

    https://novatrendsmarketintelligence.com/privacy-policyhttps://novatrendsmarketintelligence.com/privacy-policy

    Description

    Cost-effective surgeries, reduced wait times, and high-quality care are encouraging cross-border medical travel. Government partnerships, JCI accreditations, and bundled travel-healthcare packages are accelerating market growth, particularly in India

  17. g

    Excessive delay or inaccessibility of health care due to the waiting list in...

    • gimi9.com
    Updated May 12, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Excessive delay or inaccessibility of health care due to the waiting list in the last 12 months by sex, country of birth and age group. Population aged 15 years old and over. (API identifier: /t15/p420/a2019/p02/l0/05003.px) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_urn-ine-es-tabla-px-t15-p420-a2019-p02-05003/
    Explore at:
    Dataset updated
    May 12, 2022
    Description

    Table of INEBase Excessive delay or inaccessibility of health care due to the waiting list in the last 12 months by sex, country of birth and age group. Population aged 15 years old and over. National. European Health Survey

  18. c

    Medical Tourism market size was USD 110.12 Billion in 2022!

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Oct 29, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cognitive Market Research (2025). Medical Tourism market size was USD 110.12 Billion in 2022! [Dataset]. https://www.cognitivemarketresearch.com/medical-tourism-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Oct 29, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    Global Medical Tourism market size was USD 110.12 Billion in 2022 and it is forecasted to reach USD 250.74 Billion by 2030. Medical Tourism Industry's Compound Annual Growth Rate will be 10.8% from 2023 to 2030. Factors Impacting on Medical Tourism Market!

    The increasing number of chronic diseases and growing technological advancements in medical devices for the treatment of various health disorders are some of the key major factors accelerating the growth of the medical tourism market. Furthermore, the increasing support by tourist departments and governments across the globe is surging market growth. Moreover, due to the high treatment cost and lack of treatment options in some countries, people seek medical tourism across developed countries where advanced medical treatment is available resulting in propelling market expansion.

    Market Dynamics of

    Medical Tourism Market

    Key Drivers for

    Medical Tourism Market

    Cost differences for premium care: In developing markets like India, Thailand, and Mexico, patients from wealthy countries may save 30 to 70% on treatments such dental work and cardiac surgery. Shorter wait times for elective procedures: Patients who are facing lengthy queues in public healthcare systems are drawn to nations that have expedited medical visa procedures (such as Canada, the United Kingdom). Availability of sophisticated specialty treatments: Patients from all over the world are drawn to centers of excellence in robotic surgery (South Korea), fertility treatments (Spain), and cosmetic surgery (Brazil).

    Key Restraints for

    Medical Tourism Market

    Post-treatment complication risks: Risks of post-treatment complications include the absence of legal recourse for wrongdoing committed abroad and difficulties in obtaining follow-up treatment, which dissuade potential medical tourists. Travel restrictions and visa issues: The pandemic-era border restrictions and evolving immigration laws have caused unforeseen disruptions in patient flow. Data privacy concerns: GDPR/HIPAA compliance difficulties hinder the sharing of health records across national borders, which restricts the coordination of care.

    Key Trends for

    Medical Tourism Market

    Medical tourism with a focus on digital technologies: Telehealth consultations before and after the trip help shorten the trip duration, and some providers provide hybrid care models. Integration of wellness tourism: Patients combine treatments (such as knee replacement) with recovery retreats (thermal spas in Hungary, yoga in Bali). Insurance collaborations: To lower employers' healthcare expenses, US and European insurers now include overseas network hospitals in premium plans. What is Medical Tourism?

    Medical tourism is a term used to describe the practice of traveling to another country or region to receive medical treatment or procedures. The reasons for medical tourism can vary but often include seeking lower costs for medical procedures, accessing treatments that are not available in the patient's home country, or looking for more specialized or advanced medical care.

  19. e

    2946|Health Barometer 2012 (Second Wave)

    • data.europa.eu
    unknown
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centro de Investigaciones Sociológicas, 2946|Health Barometer 2012 (Second Wave) [Dataset]. https://data.europa.eu/data/datasets/https-datos-gob-es-catalogo-ea0022266-3147indicador-de-confianza-del-consumidor-mes-de-julio-de-2016?locale=en
    Explore at:
    unknownAvailable download formats
    Dataset authored and provided by
    Centro de Investigaciones Sociológicas
    License

    http://www.cis.es/cis/opencms/ES/Avisolegal.htmlhttp://www.cis.es/cis/opencms/ES/Avisolegal.html

    Description
    • Area of greatest interest to citizens: defence, education, health, housing, pensions, transport, citizen security or social services.
    • Opinion on the Spanish health system.
    • Satisfaction scale with the functioning of the Spanish health system.
    • Scale of agreement (1-10) with phrases on the Tobacco Act: has been a successful measure, it is necessary to adapt it to smokers.
    • Tobacco Act compliance scale (1-10) in bars and restaurants, and around schools and hospitals.
    • Comparison of attendance at bars and restaurants following the implementation of the Tobacco Act.
    • Current tobacco use and the influence of the Tobacco Act on current tobacco use.
    • Reasons for choosing a public or private health service.
    • Type of health service, public or private, that you would use in case you need to go to a consultation.
    • Knowledge and use of the e-prescription system in your Autonomous Community. Opinion on the electronic prescription system.
    • Satisfaction scale (1-10) with different public health services.
    • Consultations to the GP in the last year. Number of times and type of service used.
    • Assessment of the care received in general medicine of the public health and comparison with the expected care.
    • Appointment request at the health center (coincidence between the day of the request and the appointment. Waiting time between the request and the day of the appointment at the health center.
    • Way of consulting the medical history by the doctor/pediatrician of the public health.
    • Satisfaction scale (1-10) with various aspects of the care received in public health in the general medical/pediatric consultation, in specialized care and in hospitals.
    • Assistance to the emergency department in the last year, number of visits and type of service used. Main cause for going to a public hospital emergency department and reason for choosing a hospital. Hospital admission
    • Speed and assessment of the care received in emergencies.
    • Assistance to the specialist doctor in the last year, number of visits and type of service used. Waiting time between the request and the day of the appointment with the specialist.
    • Assessment of the care received in the consultation of the public health specialist and comparison with the expected care. Specialty she went to. Coordination between the general practitioner and the public health specialist.
    • Assessment of aspects related to the care provided in specialized care consultations: time dedicated to the user, not specialties with access, waiting time,...
    • Hospital admission in the last year and type of Hospital, public or private. Number of income.
    • Main cause of last admission to a public hospital.
    • Information on the time it would take to enter for operation.
    • Assignment during hospital stay of a responsible doctor.
    • Assessment of the care received in Public Hospital and comparison with the expected care.
    • Satisfaction scale (1-10) with different aspects of care provided in public hospitals.
    • Rating scale (1-10) on the information provided by public health services.
    • Opinion on whether the health authorities are carrying out measures to improve waiting lists and on the evolution of waiting lists in the last year. Circumstances that must be taken into account to establish the order of the surgical waiting list.
    • Opinion on equal health benefits for all citizens regardless of: the autonomous community of residence, age and gender, the area (rural or urban) in which you reside and the social level, country of origin, residence status.
    • Developments in the last five years of health care services: primary, specialised and hospital care.
    • Need for different measures related to public health services.
    • Adoption of regulatory measures to prevent abuse in the use of public health services.
    • Comparison of health services received in the Community of residence with others.
    • Comparison between the health service provided by the Community or by the State.
    • Opinion on the desirability of the Autonomous Communities agreeing to provide new health services.
    • Source of information received on the medicinal products consumed and degree of confidence in the information received on the medicinal products consumed.
    • Purchase of medicines over the Internet, reasons for buying medicines over the Internet and safety of medicines sold over the Internet.
    • Scale of agreement (1-10) with sentences on sick leave at work.
    • Ideology scale of the interviewee.
    • Participation and remembrance of vote in the 2011 general election.
    • General assessment of one's state of health. Having a chronic health problem.
    • Sick leave in the last 12 months, number of absences and duration of the last absence.
    • Nationality of the interviewee and non-Spanish interviewee. Time of acquisition of Spanish nationality. Level of knowledge of Spanish of the interviewee and attributed.
    • Place of birth (autonomous community or country).
  20. Excessive delay or inaccessibility of health care due to the waiting list in...

    • ine.es
    csv, html, json +4
    Updated May 26, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    INE - Instituto Nacional de Estadística (2021). Excessive delay or inaccessibility of health care due to the waiting list in the last 12 months by sex, country of birth and age group. Population aged 15 years old and over. [Dataset]. https://www.ine.es/jaxi/Tabla.htm?path=/t15/p420/a2019/p05/l0/&file=05003.px&L=1
    Explore at:
    txt, csv, text/pc-axis, html, xlsx, xls, jsonAvailable download formats
    Dataset updated
    May 26, 2021
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Variables measured
    Age, Sex, Yes or no, Country of birth
    Description

    European Health Survey: Excessive delay or inaccessibility of health care due to the waiting list in the last 12 months by sex, country of birth and age group. Population aged 15 years old and over. National.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2025). Opinion on the length of healthcare waiting times in European countries 2024 [Dataset]. https://www.statista.com/statistics/889396/opinion-on-length-of-healthcare-waiting-times-in-europe-by-country/
Organization logo

Opinion on the length of healthcare waiting times in European countries 2024

Explore at:
Dataset updated
Nov 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jul 26, 2024 - Aug 9, 2024
Area covered
Europe
Description

According to the 2024 survey, ** percent of individuals in Hungary believed waiting times were too long. Even the best-performing country, Switzerland, still had over a quarter of Swiss respondents saying wait times were too long for a doctor's appointment. This statistic displays the share of individuals who thought waiting times to get an appointment with doctors were too long in select European countries in 2024.

Search
Clear search
Close search
Google apps
Main menu