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  1. Article ; Online: Pandemic Use of Telehealth by Oncology at a Rural Academic Medical Center.

    Curtis, Kevin / Alford-Teaster, Jennifer / Lowry, Mary / Mackwood, Matthew / Snide, Jennifer / Tosteson, Tor / Tosteson, Anna

    Telemedicine journal and e-health : the official journal of the American Telemedicine Association

    2021  Volume 28, Issue 4, Page(s) 501–508

    Abstract: Introduction: ...

    Abstract Introduction:
    MeSH term(s) Academic Medical Centers ; COVID-19/epidemiology ; Humans ; Outpatients ; Pandemics ; Telemedicine
    Language English
    Publishing date 2021-07-20
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2035659-6
    ISSN 1556-3669 ; 1530-5627
    ISSN (online) 1556-3669
    ISSN 1530-5627
    DOI 10.1089/tmj.2020.0556
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  2. Article ; Online: Age, race, insurance type, and digital divide index are associated with video visit completion for patients seen for oncologic care in a large hospital system during the COVID-19 pandemic.

    Cousins, Matthew M / Van Til, Monica / Steppe, Emma / Ng, Sophia / Ellimoottil, Chandy / Sun, Yilun / Schipper, Matthew / Evans, Joseph R

    PloS one

    2022  Volume 17, Issue 11, Page(s) e0277617

    Abstract: Introduction: The COVID-19 pandemic drove rapid adoption of telehealth across oncologic ... for all unique patient visits at a large academic medical center were acquired pre- and intra-pandemic (7/1/2019 ... disparities in telehealth access in patients with cancer accessing oncologic care.: Materials/methods: Data ...

    Abstract Introduction: The COVID-19 pandemic drove rapid adoption of telehealth across oncologic specialties. This revealed barriers to telehealth access and telehealth-related disparities. We explored disparities in telehealth access in patients with cancer accessing oncologic care.
    Materials/methods: Data for all unique patient visits at a large academic medical center were acquired pre- and intra-pandemic (7/1/2019-12/31/2020), including visit type (in-person, video, audio only), age, race, ethnicity, rural/urban (per zip code by Federal Office of Rural Health Policy), distance from medical facility, insurance, and Digital Divide Index (DDI; incorporates technology/internet access, age, disability, and educational attainment metrics by geographic area). Pandemic phases were identified based on visit dynamics. Multivariable logistic regression models were used to examine associations of these variables with successful video visit completion.
    Results: Data were available for 2,398,633 visits for 516,428 patients across all specialties. Among these, there were 253,880 visits from 62,172 patients seen in any oncology clinic. Dramatic increases in telehealth usage were seen during the pandemic (after 3/16/2020). In multivariable analyses, patient age [OR: 0.964, (95% CI 0.961, 0.966) P<0.0001], rural zip code [OR: 0.814 (95% CI 0.733, 0.904) P = 0.0001], Medicaid enrollment [OR: 0.464 (95% CI 0.410, 0.525) P<0.0001], Medicare enrollment [OR: 0.822 (95% CI 0.761, 0.888) P = 0.0053], higher DDI [OR: 0.903 (95% CI 0.877, 0.930) P<0.0001], distance from the facility [OR: 1.028 (95% CI 1.021, 1.035) P<0.0001], black race [OR: 0.663 (95% CI 0.584, 0.753) P<0.0001], and Asian race [OR: 1.229 (95% CI 1.022, 1.479) P<0.0001] were associated with video visit completion early in the pandemic. Factors related to video visit completion later in the pandemic and within sub-specialties of oncology were also explored.
    Conclusions: Patients from older age groups, those with minority backgrounds, and individuals from areas with less access to technology (high DDI) as well as those with Medicare or Medicaid insurance were less likely to use video visits. With greater experience through the pandemic, disparities were not mitigated. Further efforts are required to optimize telehealth to benefit all patients and avoid increasing disparities in care delivery.
    MeSH term(s) Humans ; United States/epidemiology ; Aged ; COVID-19/epidemiology ; Pandemics ; Digital Divide ; Medicare ; Hospitals
    Language English
    Publishing date 2022-11-17
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, P.H.S.
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0277617
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Age, race, insurance type, and digital divide index are associated with video visit completion for patients seen for oncologic care in a large hospital system during the COVID-19 pandemic.

    Matthew M Cousins / Monica Van Til / Emma Steppe / Sophia Ng / Chandy Ellimoottil / Yilun Sun / Matthew Schipper / Joseph R Evans

    PLoS ONE, Vol 17, Iss 11, p e

    2022  Volume 0277617

    Abstract: Introduction The COVID-19 pandemic drove rapid adoption of telehealth across oncologic specialties ... patient visits at a large academic medical center were acquired pre- and intra-pandemic (7/1/2019-12/31/2020 ... in telehealth access in patients with cancer accessing oncologic care. Materials/methods Data for all unique ...

    Abstract Introduction The COVID-19 pandemic drove rapid adoption of telehealth across oncologic specialties. This revealed barriers to telehealth access and telehealth-related disparities. We explored disparities in telehealth access in patients with cancer accessing oncologic care. Materials/methods Data for all unique patient visits at a large academic medical center were acquired pre- and intra-pandemic (7/1/2019-12/31/2020), including visit type (in-person, video, audio only), age, race, ethnicity, rural/urban (per zip code by Federal Office of Rural Health Policy), distance from medical facility, insurance, and Digital Divide Index (DDI; incorporates technology/internet access, age, disability, and educational attainment metrics by geographic area). Pandemic phases were identified based on visit dynamics. Multivariable logistic regression models were used to examine associations of these variables with successful video visit completion. Results Data were available for 2,398,633 visits for 516,428 patients across all specialties. Among these, there were 253,880 visits from 62,172 patients seen in any oncology clinic. Dramatic increases in telehealth usage were seen during the pandemic (after 3/16/2020). In multivariable analyses, patient age [OR: 0.964, (95% CI 0.961, 0.966) P<0.0001], rural zip code [OR: 0.814 (95% CI 0.733, 0.904) P = 0.0001], Medicaid enrollment [OR: 0.464 (95% CI 0.410, 0.525) P<0.0001], Medicare enrollment [OR: 0.822 (95% CI 0.761, 0.888) P = 0.0053], higher DDI [OR: 0.903 (95% CI 0.877, 0.930) P<0.0001], distance from the facility [OR: 1.028 (95% CI 1.021, 1.035) P<0.0001], black race [OR: 0.663 (95% CI 0.584, 0.753) P<0.0001], and Asian race [OR: 1.229 (95% CI 1.022, 1.479) P<0.0001] were associated with video visit completion early in the pandemic. Factors related to video visit completion later in the pandemic and within sub-specialties of oncology were also explored. Conclusions Patients from older age groups, those with minority backgrounds, and individuals from areas ...
    Keywords Medicine ; R ; Science ; Q
    Subject code 360
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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