7 datasets found
  1. a

    SDG 3.4.1 (UN) / 3.40 (EU), Death Rate due to Chronic Diseases per 1000...

    • hub.arcgis.com
    • irelandsdg.geohive.ie
    • +4more
    Updated Nov 7, 2017
    + more versions
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    Sustainable Development Goals, Ireland (2017). SDG 3.4.1 (UN) / 3.40 (EU), Death Rate due to Chronic Diseases per 1000 Population, Administrative County, 2015, Ireland, CSO & Tailte Éireann [Dataset]. https://hub.arcgis.com/datasets/cf4186e468654b1cb54292d087fa996d
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    Dataset updated
    Nov 7, 2017
    Dataset authored and provided by
    Sustainable Development Goals, Ireland
    License

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

    Area covered
    Description

    This feature layer represents Sustainable Development Goal indicator 3.4.1 'Death Rate due to Chronic Diseases per 1000 Population' for Ireland. Attributes include a breakdown of cause of death i.e. by respiratory disease, neoplasms and circulatory disease. The layer was created using data produced by the Central Statistics Office (CSO) as part of the CSO's Vital Statistics Annual Report 2015 and pre 2014 Administrative County boundary data (more info) produced by Tailte Éireann. In 2015 UN countries adopted a set of 17 goals to end poverty, protect the planet and ensure prosperity for all as part of a new sustainable development agenda. Each goal has specific targets to help achieve the goals set out in the agenda by 2030. Governments are committed to establishing national frameworks for the achievement of the 17 Goals and to review progress using accessible quality data. With these goals in mind the CSO and Tailte Éireann are working together to link geography and statistics to produce indicators that help communicate and monitor Ireland’s performance in relation to achieving the 17 sustainable development goals.The indicator displayed supports the efforts to achieve goal number 3 which aims to ensure healthy lives and promote well-being for all at all ages.

  2. Distribution of blood types in the U.S. as of 2023

    • statista.com
    Updated Mar 18, 2025
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    Statista (2025). Distribution of blood types in the U.S. as of 2023 [Dataset]. https://www.statista.com/statistics/1112664/blood-type-distribution-us/
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    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The eight main blood types are A+, A-, B+, B-, O+, O-, AB+, and AB-. The most common blood type in the United States is O-positive, with around 38 percent of the population having this type of blood. However, blood type O-positive is more common in Latino-Americans than other ethnicities, with around 53 percent of Latino-Americans with this blood type, compared to 47 percent of African Americans and 37 percent of Caucasians. Blood donation The American Red Cross estimates that every two seconds someone in the United States needs blood or platelets, highlighting the importance of blood donation. It was estimated that in 2021, around 6.5 million people in the U.S. donated blood, with around 1.7 million of these people donating for the first time. Those with blood type O-negative are universal blood donors, meaning their blood can be transfused for any blood type. Therefore, this blood type is the most requested by hospitals. However, only about seven percent of the U.S. population has this blood type. Blood transfusion Blood transfusion is a routine procedure that involves adding donated blood to a patient’s body. There are many reasons why a patient may need a blood transfusion, including surgery, cancer treatment, severe injury, or chronic illness. In 2021, there were around 10.76 million blood transfusions in the United States. Most blood transfusions in the United States occur in an inpatient medicine setting, while critical care accounts for the second highest number of transfusions.

  3. Leading causes of death in the United States 2022

    • statista.com
    Updated May 22, 2024
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    Statista (2024). Leading causes of death in the United States 2022 [Dataset]. https://www.statista.com/statistics/248619/leading-causes-of-death-in-the-us/
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    Heart disease is currently the leading cause of death in the United States. In 2022, COVID-19 was the fourth leading cause of death in the United States, accounting for almost six percent of all deaths that year. The leading causes of death worldwide are similar to those in the United States. However, diarrheal diseases and neonatal conditions are major causes of death worldwide, but are not among the leading causes in the United States. Instead, accidents and chronic liver disease have a larger impact in the United States.

    Racial differences

    In the United States, there exist slight differences in leading causes of death depending on race and ethnicity. For example, assault, or homicide, accounts for around three percent of all deaths among the Black population but is not even among the leading causes of death for other races and ethnicities. However, heart disease and cancer are still the leading causes of death for all races and ethnicities.

    Leading causes of death among men vs women

    Similarly, there are also differences in the leading causes of death in the U.S. between men and women. For example, among men, intentional self-harm accounts for around two percent of all deaths but is not among the leading causes of death among women. On the other hand, influenza and pneumonia account for more deaths among women than men.

  4. P

    Pulse-taking Robot Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 23, 2025
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    Data Insights Market (2025). Pulse-taking Robot Report [Dataset]. https://www.datainsightsmarket.com/reports/pulse-taking-robot-80645
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Mar 23, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The global pulse-taking robot market, valued at $3.4 billion in 2025, is projected to experience robust growth, driven by a Compound Annual Growth Rate (CAGR) of 8.3% from 2025 to 2033. This expansion is fueled by several key factors. The increasing prevalence of chronic diseases necessitates efficient and accurate health monitoring, making automated pulse-taking solutions highly desirable. Hospitals and clinics are adopting these robots to streamline patient care, improve diagnostic accuracy, and enhance overall operational efficiency. Furthermore, advancements in artificial intelligence (AI) and robotics are leading to more sophisticated and reliable pulse-taking robots with improved accuracy and ease of use. The development of compact and portable devices is also broadening the market's reach, expanding adoption beyond traditional healthcare settings into community healthcare and home care environments. This trend is particularly pronounced in developed regions like North America and Europe, which are early adopters of advanced medical technologies. However, the relatively high initial investment cost associated with acquiring and maintaining these robots can act as a restraint, particularly in resource-constrained settings. Nonetheless, ongoing technological advancements, coupled with increasing healthcare expenditure and the growing demand for improved patient care, are expected to mitigate these challenges and drive continued market growth. The market segmentation reveals significant opportunities within the application and type categories. The hospital segment currently dominates the market, reflecting the high demand for efficient patient monitoring in hospital settings. However, the clinic and community segments are exhibiting strong growth potential as access to advanced healthcare technologies expands. In terms of types, AI-powered robots are gaining traction due to their advanced capabilities, while automatic diagnostic instruments are also experiencing increasing demand. The regional breakdown highlights North America as a leading market, benefiting from strong healthcare infrastructure and early adoption of innovative technologies. However, Asia Pacific, particularly China and India, is poised for rapid growth due to the rising prevalence of chronic diseases and a growing healthcare sector. The market's future trajectory will largely depend on continuous technological improvements, increasing affordability of the technology, and favorable regulatory environments in key markets.

  5. M

    Medical Image Exchange Systems Industry Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 1, 2025
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    Data Insights Market (2025). Medical Image Exchange Systems Industry Report [Dataset]. https://www.datainsightsmarket.com/reports/medical-image-exchange-systems-industry-8292
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The size of the Medical Image Exchange Systems Industry market was valued at USD 4.59 Million in 2023 and is projected to reach USD 7.35 Million by 2032, with an expected CAGR of 6.96% during the forecast period. MIES is the abbreviated form of Medical Image Exchange Systems. This refers to the electronic platform in a digital system that contains the aspect of safely storing, transacting, and sharing images among various healthcare providers. In today's health care, such systems play a very important role in mainly targeting provisions of avenues for collaboration improvements in diagnostic accuracy and improvement in patient care. MIES mainly utilize high technology equipment like PACS (Picture Archiving and Communication Systems) and DICOM (Digital Imaging and Communications in Medicine) to support rapid data exchange with proper safety. Digital medical images such as X-rays, MRIs, CT scans, and ultrasounds are captured and placed in a central repository from where healthcare providers can view or study patient images from anywhere and at any distance over a network. Several advantages are offered by MIES. It makes the transfer of medical images efficient, cutting down on the need to transport them physically or even handle them manually, which helps conserve time and increase speed. Moreover, MIES enhance the accuracy of diagnosis with the access to more experts, who would be consulted in case complicated cases arise. Thirdly, they give a forum through which health care services are easily consulted, coordinating efforts in the health sector for better treatment of patients. Yet another way through which MIES improves results is by enhancing the provision of crucial medical information timely to the patient. Recent developments include: March 2022: Intelerad Medical Systems launched its new Enterprise Imaging and Informatics Suite at the 2022 HIMSS Global Health Conference & Exhibition. Intelerad's suite empowers hospitals and health systems to break down siloed data and create a seamless, vendor-neutral information hub, integrating vital patient data across the entire healthcare ecosystem., March 2022: Philips introduced cloud-enabled enterprise imaging informatics and analytics solutions. Philips Health Suite Interoperability is a fully integrated cloud-enabled Health IT platform to meet diverse workflow needs across the imaging enterprise.. Key drivers for this market are: Technological Innovations in the Diagnostic Imaging and Image Management, Rising Prevalence of Chronic Diseases; Emergence of Big Data in Healthcare. Potential restraints include: Cost Associated With Implementation of Medical Imaging Management Solutions, Decrease In the Supply of SPECT and PET Systems due to the Shortage of Radioisotopes. Notable trends are: Picture Archiving and Communications Systems (PACS) is Expected to Record Notable CAGR in the Market During the Forecast Period.

  6. Breakdown of adults with private medical insurance in the UK 2017, by age

    • statista.com
    Updated Jan 16, 2025
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    Statista (2025). Breakdown of adults with private medical insurance in the UK 2017, by age [Dataset]. https://www.statista.com/statistics/793589/share-of-adults-with-private-medical-insurance-uk/
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    Dataset updated
    Jan 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    United Kingdom
    Description

    This statistic displays the share of adults in the United Kingdom (UK) that had private medical insurance (PMI) in 2017, by age groups. Those aged between 45 and 54 were the most likely to have private medical insurance in 2017 with 25 percent of insurance covers by that age group. Those aged between 18 and 24 years only made up for 4 percent of private medical insurance owners.

  7. Sociodemographic characteristics.

    • plos.figshare.com
    xls
    Updated Dec 17, 2024
    + more versions
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    Hassan Mobarak; Chadia Haddad; Pascale Salameh; Evelyne Towair; Myriam El Khoury-Malhame; Rajaa Chatila (2024). Sociodemographic characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0308897.t001
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    xlsAvailable download formats
    Dataset updated
    Dec 17, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Hassan Mobarak; Chadia Haddad; Pascale Salameh; Evelyne Towair; Myriam El Khoury-Malhame; Rajaa Chatila
    License

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

    Description

    BackgroundBurnout is a pervasively increasing threat to personal and professional wellbeing and performance. It is yet understudied in relation to basic psychological needs (BPN), especially in at-risk population such as medical residents. This study intends to explore the differential relationship between various aspects of burnout including depersonalization (DP), emotional exhaustion (EE) and lack of personal achievement (PA) and subsets of BPN satisfaction or frustration namely autonomy, relatedness, and competence, with the framework of the Self-Determination Theory (SDT) in healthcare.MaterialsA total of 110 medical residents in various Lebanese hospitals were included. Demographics and standardized scales were used to measure basic psychological need satisfaction and frustration (BPNSFS), burnout (MBI), depression and anxiety (PHQ-4). Residents were also asked about subjective evaluation of academic training and level of impact by ongoing crises (COVID-19 pandemic, Beirut port explosion and financial breakdown).ResultsResult point to alarming prevalence of burnout and mental distress in our sample. It also indicates a differential correlation between gender, financial security and various subsets of burnout. It lastly points to association of DP with overall satisfaction scale (Beta = 0.342, p = 0.001) and PHQ-4 scores (Beta = -0.234, p = 0.017), while feeling burdened to attend lectures and having been physically affected by the Beirut blast correlated with a sense of PA (Beta = 0.332, p = 0.010, Beta = 0.187, p = 0.041 respectively) and PHQ-4 (Beta = 0.341, p = 0.000), interacting with COVID-19 patients (Beta = 0.168, p = 0.020) and feeling protected in the working environment (Beta = -.231, p = 0.002) showed a significant association with EE.DiscussionWithin the SDT framework, this study highlights the complex interplay between collective crises, subjective evaluations or work conditions and other demographics with aspects of burnout in medical residents. It mostly points to the need address this at an individual but also an institutional level to buffer distress in future healthcare providers.

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Sustainable Development Goals, Ireland (2017). SDG 3.4.1 (UN) / 3.40 (EU), Death Rate due to Chronic Diseases per 1000 Population, Administrative County, 2015, Ireland, CSO & Tailte Éireann [Dataset]. https://hub.arcgis.com/datasets/cf4186e468654b1cb54292d087fa996d

SDG 3.4.1 (UN) / 3.40 (EU), Death Rate due to Chronic Diseases per 1000 Population, Administrative County, 2015, Ireland, CSO & Tailte Éireann

Explore at:
Dataset updated
Nov 7, 2017
Dataset authored and provided by
Sustainable Development Goals, Ireland
License

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

Area covered
Description

This feature layer represents Sustainable Development Goal indicator 3.4.1 'Death Rate due to Chronic Diseases per 1000 Population' for Ireland. Attributes include a breakdown of cause of death i.e. by respiratory disease, neoplasms and circulatory disease. The layer was created using data produced by the Central Statistics Office (CSO) as part of the CSO's Vital Statistics Annual Report 2015 and pre 2014 Administrative County boundary data (more info) produced by Tailte Éireann. In 2015 UN countries adopted a set of 17 goals to end poverty, protect the planet and ensure prosperity for all as part of a new sustainable development agenda. Each goal has specific targets to help achieve the goals set out in the agenda by 2030. Governments are committed to establishing national frameworks for the achievement of the 17 Goals and to review progress using accessible quality data. With these goals in mind the CSO and Tailte Éireann are working together to link geography and statistics to produce indicators that help communicate and monitor Ireland’s performance in relation to achieving the 17 sustainable development goals.The indicator displayed supports the efforts to achieve goal number 3 which aims to ensure healthy lives and promote well-being for all at all ages.

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