8 datasets found
  1. Access and Use of Telemedicine During COVID-19

    • catalog.data.gov
    • healthdata.gov
    • +3more
    Updated Apr 23, 2025
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    Centers for Disease Control and Prevention (2023). Access and Use of Telemedicine During COVID-19 [Dataset]. https://catalog.data.gov/dataset/use-of-telemedicine-during-covid-19
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of telemedicine access and use for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about whether providers offered telemedicine (including video and telephone appointments) in the last 2 months—both during and before the pandemic—and about the use of telemedicine in the last 2 months during the pandemic. As a result of the coronavirus pandemic, many local and state governments discouraged people from leaving their homes for nonessential reasons. Although health care is considered an essential activity, telemedicine offers an opportunity for care without the potential or perceived risks of leaving the home. The National Health Interview Survey, conducted by NCHS, added telemedicine questions to its sample adult questionnaire in July 2020. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/telemedicine-use.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of telemedicine use during the pandemic (beginning in Phase 3.1, which started on April 14, 2021). The Household Pulse Survey reports telemedicine use in the last 4 weeks among adults and among households with at least one child under age 18 years. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who have a usual place of care and a provider that offered telemedicine in the past 2 months, who used telemedicine in the past 2 months, or who have a usual place of care and a provider that offered telemedicine prior to the coronavirus pandemic. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/telemedicine.htm#limitations

  2. A

    ‘Access and Use of Telemedicine During COVID-19’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 26, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Access and Use of Telemedicine During COVID-19’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-access-and-use-of-telemedicine-during-covid-19-99c1/d6da6eec/?iid=005-862&v=presentation
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    Dataset updated
    Jan 26, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Access and Use of Telemedicine During COVID-19’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/62ae3836-5b7b-4d97-b8e7-7e853aa39df0 on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of telemedicine access and use for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about whether providers offered telemedicine (including video and telephone appointments) in the last 2 months—both during and before the pandemic—and about the use of telemedicine in the last 2 months during the pandemic. As a result of the coronavirus pandemic, many local and state governments discouraged people from leaving their homes for nonessential reasons. Although health care is considered an essential activity, telemedicine offers an opportunity for care without the potential or perceived risks of leaving the home. The National Health Interview Survey, conducted by NCHS, added telemedicine questions to its sample adult questionnaire in July 2020. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/telemedicine-use.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of telemedicine use during the pandemic (beginning in Phase 3.1, which started on April 14, 2021). The Household Pulse Survey reports telemedicine use in the last 4 weeks among adults and among households with at least one child under age 18 years. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who have a usual place of care and a provider that offered telemedicine in the past 2 months, who used telemedicine in the past 2 months, or who have a usual place of care and a provider that offered telemedicine prior to the coronavirus pandemic. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/telemedicine.htm#limitations

    --- Original source retains full ownership of the source dataset ---

  3. A

    ‘Medicare Telemedicine Snapshot’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 11, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Medicare Telemedicine Snapshot’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-medicare-telemedicine-snapshot-8e27/315b429f/?iid=012-709&v=presentation
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    Dataset updated
    Feb 11, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Medicare Telemedicine Snapshot’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/aaa68d71-2f71-44e8-bd0c-a24abe8758bb on 11 February 2022.

    --- Dataset description provided by original source is as follows ---

    The Medicare Telemedicine dataset provides information about people with Medicare who utilized telemedicine services between March 1, 2020 and February 28, 2021.

    --- Original source retains full ownership of the source dataset ---

  4. Dataset: Global X Telemedicine & Digital Health...

    • kaggle.com
    Updated Jun 21, 2024
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    Nitiraj Kulkarni (2024). Dataset: Global X Telemedicine & Digital Health... [Dataset]. https://www.kaggle.com/datasets/nitirajkulkarni/edoc-stock-performance
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 21, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Nitiraj Kulkarni
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

  5. f

    Supplementary file 2_Inequities to the access to and use of telemedicine...

    • figshare.com
    • frontiersin.figshare.com
    docx
    Updated May 22, 2025
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    Victoria Leclercq; Léopold Vandervliet; Tugce Schmitt; Marc Van den Bulcke; Marie Delnord (2025). Supplementary file 2_Inequities to the access to and use of telemedicine among cancer patients in Europe: a scoping review.docx [Dataset]. http://doi.org/10.3389/fpubh.2025.1483706.s002
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    docxAvailable download formats
    Dataset updated
    May 22, 2025
    Dataset provided by
    Frontiers
    Authors
    Victoria Leclercq; Léopold Vandervliet; Tugce Schmitt; Marc Van den Bulcke; Marie Delnord
    License

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

    Area covered
    Europe
    Description

    IntroductionOver the last few years, telemedicine (TM) services have increasingly been used in European health and care systems. TM services include remote assistance with teleconsultation and telemonitoring. Several sources highlight that TM services may widen existing inequities in health. Therefore, this study aimed to identify barriers and facilitators contributing to inequities to TM among cancer patients in Europe.MethodsMedline (via Ovid) and Scopus databases were searched for all publications providing evidence on factors influencing the access to and use of TMs among cancer patients aged 18 and over in Europe published between January 2018 and March 2023. The PROGRESS-plus framework was used to map health equity factors in TM services among cancer patients.ResultsA total of 2072 peer reviewed publications were identified and after screening, 26 articles were retained in our scoping review. Only studies focused on TM used by cancer patients through mobile or web-based applications were included. In terms of access to TM, people with lower socioeconomic status, including difficulties with having an internet connection and not having their own mobile device, and language barrier seem to have less access to TM services. For the use of TM services, a lower level of education, few digital skills and (e-)health literacy, lack of social support, age and presence of comorbidities are important determinants.DiscussionBetter integration of patient needs in TM is necessary to enhance equity and allow a better implementation of TMs in European health and care systems aligned with different initiatives such European Beating Cancer Plan.

  6. f

    DataSheet_1_Effectiveness of Remotely Delivered Interventions to...

    • figshare.com
    • frontiersin.figshare.com
    docx
    Updated Jun 16, 2023
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    Malindu E. Fernando; Leonard Seng; Aaron Drovandi; Benjamin J. Crowley; Jonathan Golledge (2023). DataSheet_1_Effectiveness of Remotely Delivered Interventions to Simultaneously Optimize Management of Hypertension, Hyperglycemia and Dyslipidemia in People With Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.docx [Dataset]. http://doi.org/10.3389/fendo.2022.848695.s001
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    docxAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    Frontiers
    Authors
    Malindu E. Fernando; Leonard Seng; Aaron Drovandi; Benjamin J. Crowley; Jonathan Golledge
    License

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

    Description

    BackgroundRemotely delivered interventions may be more efficient in controlling multiple risk factors in people with diabetes.PurposeTo pool evidence from randomized controlled trials testing remote management interventions to simultaneously control blood pressure, blood glucose and lipids.Data SourcesPubMed/Medline, EMBASE, CINAHL and the Cochrane library were systematically searched for randomized controlled trials (RCTs) until 20th June 2021.Study SelectionIncluded RCTs were those that reported participant data on blood pressure, blood glucose, and lipid outcomes in response to a remotely delivered intervention.Data ExtractionThree authors extracted data using a predefined template. Primary outcomes were glycated hemoglobin (HbA1c), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-c), systolic and diastolic blood pressure (SBP & DBP). Risk of bias was assessed using the Cochrane collaboration RoB-2 tool. Meta-analyses are reported as standardized mean difference (SMD) with 95% confidence intervals (95%CI).Data SynthesisTwenty-seven RCTs reporting on 9100 participants (4581 intervention and 4519 usual care) were included. Components of the remote management interventions tested were identified as patient education, risk factor monitoring, coaching on monitoring, consultations, and pharmacological management. Comparator groups were typically face-to-face usual patient care. Remote management significantly reduced HbA1c (SMD -0.25, 95%CI -0.33 to -0.17, p

  7. f

    Primary outcome domains adapted from the Quality of Cancer Survivorship Care...

    • figshare.com
    • plos.figshare.com
    xls
    Updated May 27, 2025
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    Danielle Keane; Jean-Paul Calbimonte; Ewa Pawłowska; Angelos P. Kassianos; Joan C. Medina; João Gregório; Maria Serra-Blasco; Aleksandar Celebic; Antonio Di Meglio; Babak Asadi-Azarbaijani; Claire Foster; Claire L. Donohoe; Allini Mafra; Claudine Backes; Cristian Ochoa-Arnedo; Derya Gezer; Gamze Bozkul; Emel Taşvuran Horata; Esra Özkan; Gillian Prue; Gökçe İşcan; Gül Dural; Gülcan Bahçecioğlu; Filiz Ersöğütçü; Guna Bērziņa; Hicran Bektas; Ines- Vaz-Luis; Izidor Mlakar; João Rocha-Gomes; Mairead O’Connor; Maria Inês Clara; Maria Karekla; Marte Hoff Hagen; Merve Saniye İmançer; Oğulcan Çöme; Vildan Mevsim; Nilay Aksoy; Rui Miguel Martins; Sıdıka Ece Yokuş; Sule Biyik Bayram; Aysun Akçakaya Can; Tânia Brandão; Mohamad M. Saab; Nuray Bayar Muluk; Zeynep Yıldırım; Ioana R. Podina; Songül Karadağ; Sevilay Erden; Remziye Semerci; Aydanur Aydin; Maximos Frountzas; Şengül Üzen Cura; Aydın Ruveyde; Antonios Billis; Jean Calleja-Agius; Katarina Vojvodic; Poonam Jaswal; Eda Sahin; Ayşegül Ilgaz; Sophie Pilleron; Josephine Hegarty (2025). Primary outcome domains adapted from the Quality of Cancer Survivorship Care Framework [43]. [Dataset]. http://doi.org/10.1371/journal.pone.0322100.t001
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    xlsAvailable download formats
    Dataset updated
    May 27, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Danielle Keane; Jean-Paul Calbimonte; Ewa Pawłowska; Angelos P. Kassianos; Joan C. Medina; João Gregório; Maria Serra-Blasco; Aleksandar Celebic; Antonio Di Meglio; Babak Asadi-Azarbaijani; Claire Foster; Claire L. Donohoe; Allini Mafra; Claudine Backes; Cristian Ochoa-Arnedo; Derya Gezer; Gamze Bozkul; Emel Taşvuran Horata; Esra Özkan; Gillian Prue; Gökçe İşcan; Gül Dural; Gülcan Bahçecioğlu; Filiz Ersöğütçü; Guna Bērziņa; Hicran Bektas; Ines- Vaz-Luis; Izidor Mlakar; João Rocha-Gomes; Mairead O’Connor; Maria Inês Clara; Maria Karekla; Marte Hoff Hagen; Merve Saniye İmançer; Oğulcan Çöme; Vildan Mevsim; Nilay Aksoy; Rui Miguel Martins; Sıdıka Ece Yokuş; Sule Biyik Bayram; Aysun Akçakaya Can; Tânia Brandão; Mohamad M. Saab; Nuray Bayar Muluk; Zeynep Yıldırım; Ioana R. Podina; Songül Karadağ; Sevilay Erden; Remziye Semerci; Aydanur Aydin; Maximos Frountzas; Şengül Üzen Cura; Aydın Ruveyde; Antonios Billis; Jean Calleja-Agius; Katarina Vojvodic; Poonam Jaswal; Eda Sahin; Ayşegül Ilgaz; Sophie Pilleron; Josephine Hegarty
    License

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

    Description

    Primary outcome domains adapted from the Quality of Cancer Survivorship Care Framework [43].

  8. d

    Mental Health Services Monthly Statistics

    • digital.nhs.uk
    Updated Jul 15, 2020
    + more versions
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    (2020). Mental Health Services Monthly Statistics [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/mental-health-services-monthly-statistics
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    Dataset updated
    Jul 15, 2020
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Apr 1, 2020 - Jul 31, 2020
    Description

    This publication provides the most timely picture available of people using NHS funded secondary mental health, learning disabilities and autism services in England. These are experimental statistics which are undergoing development and evaluation. This information will be of use to people needing access to information quickly for operational decision making and other purposes. More detailed information on the quality and completeness of these statistics is made available later in our Mental Health Bulletin: Annual Report publication series. • COVID-19 and the production of statistics Due to the coronavirus illness (COVID-19) disruption, it would seem that this is now starting to affect the quality and coverage of some of our statistics, such as an increase in non-submissions for some datasets. We are also starting to see some different patterns in the submitted data. For example, fewer patients are being referred to hospital and more appointments being carried out via phone/telemedicine/email. Therefore, data should be interpreted with care over the COVID-19 period. • Early release of statistics To support the ongoing COVID-19 work July 2020 monthly statistics were made available early and presented on our supplementary information pages. https://digital.nhs.uk/data-and-information/supplementary-information/2020/provisional-july-2020-mental-health-statistics • Changing existing measures The move to MHSDS version 4.1 from April 2020 has brought with it changes to the dataset; the construction of a number of measures have been changed as a result. Improvements in the methodology of reporting delay of discharge has also resulted in a change in the construction of the measure from the April 2020 publication onwards. Full details of these changes are available in the associated Metadata file. • New measures A number of new measures have been included from the April 2020 publication onwards: • MHS76 Count of people subject to restrictive interventions • MHS77 Count of restrictive interventions • MHS78 Discharges from adult acute beds eligible for 72 hour follow up in the reporting period • MHS79 Discharges from adult acute beds followed up within 72 hours in the reporting period • MHS80 Proportion of discharges from adult acute beds eligible for 72 hour follow up - followed up in the reporting period Full details of these are available in the associated Metadata file. • CCG and STP changes A number of changes to NHS organisations were made operationally effective from 1 April 2020. These changes included: 74 former Clinical Commissioning Groups (CCGs) merging to form 18 new CCGs; alterations to commissioning hubs; provider mergers; and the incorporation of Sustainability and Transformation Partnerships (STPs) into the NHS commissioning hierarchy. The Organisation Data Service (ODS) is responsible for publishing organisation and practitioner codes, along with related national policies and standards. A series of ODS data amendments are required to support the introduction of these changes. This would normally result in a number of organisations becoming ‘legally’ closed including the 74 former CCGs. However, to minimise any burden to the NHS during the COVID-19 pandemic and remove any non-critical activity, these organisations remain open within ODS data. ODS aim to both legally and operationally close predecessor organisations involved in April 2020 Reconfiguration on 30 September 2020. Activity may be recorded against either former or current organisations, depending on data providers and processors ability to transition to the new organisation codes at this time. The same activity will not be recorded against both former and current organisations. There is no impact on this statistics presented here as CCG is derived in all cases within this publication. • Women in contact with mental health services who were new or expectant mothers Please be aware on 19 November 2020 the quarterly women in contact with mental health services who were new or expectant mothers analysis was published following an investigation into an issue that prevented publication on the originally announced date. NHS Digital apologises for any inconvenience caused.

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Centers for Disease Control and Prevention (2023). Access and Use of Telemedicine During COVID-19 [Dataset]. https://catalog.data.gov/dataset/use-of-telemedicine-during-covid-19
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Access and Use of Telemedicine During COVID-19

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 23, 2025
Dataset provided by
Centers for Disease Control and Preventionhttp://www.cdc.gov/
Description

The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of telemedicine access and use for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about whether providers offered telemedicine (including video and telephone appointments) in the last 2 months—both during and before the pandemic—and about the use of telemedicine in the last 2 months during the pandemic. As a result of the coronavirus pandemic, many local and state governments discouraged people from leaving their homes for nonessential reasons. Although health care is considered an essential activity, telemedicine offers an opportunity for care without the potential or perceived risks of leaving the home. The National Health Interview Survey, conducted by NCHS, added telemedicine questions to its sample adult questionnaire in July 2020. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/telemedicine-use.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of telemedicine use during the pandemic (beginning in Phase 3.1, which started on April 14, 2021). The Household Pulse Survey reports telemedicine use in the last 4 weeks among adults and among households with at least one child under age 18 years. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who have a usual place of care and a provider that offered telemedicine in the past 2 months, who used telemedicine in the past 2 months, or who have a usual place of care and a provider that offered telemedicine prior to the coronavirus pandemic. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/telemedicine.htm#limitations

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