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Patient, physician, and policy factors underlying variation in use of telemedicine for radiation oncology cancer care.
De, Brian; Fu, Shuangshuang; Chen, Ying-Shiuan; Das, Prajnan; Ku, Kimberly; Maroongroge, Sean; Woodhouse, Kristina D; Hoffman, Karen E; Nguyen, Quynh-Nhu; Reed, Valerie K; Chen, Aileen B; Koong, Albert C; Smith, Benjamin D; Smith, Grace L.
  • De B; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Fu S; Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Chen YS; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Das P; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Ku K; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Maroongroge S; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Woodhouse KD; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Hoffman KE; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Nguyen QN; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Reed VK; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Chen AB; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Koong AC; Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Smith BD; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Smith GL; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Cancer Med ; 11(10): 2096-2105, 2022 05.
Article in English | MEDLINE | ID: covidwho-1748778
ABSTRACT

BACKGROUND:

Oncology telemedicine was implemented rapidly after COVID-19. We examined multilevel correlates and outcomes of telemedicine use for patients undergoing radiotherapy (RT) for cancer.

METHODS:

Upon implementation of a telemedicine platform at a comprehensive cancer center, we analyzed 468 consecutive patient RT courses from March 16, 2020 to June 1, 2020. Patients were categorized as using telemedicine during ≥1 weekly oncologist visits versus in-person oncologist management only. Temporal trends were evaluated with Cochran-Armitage tests; chi-squared test and multilevel multivariable logistic models identified correlates of use and outcomes.

RESULTS:

Overall, 33% used telemedicine versus 67% in-person only oncologist management. Temporal trends (ptrend  < 0.001) correlated with policy changes uptake was rapid after local social-distancing restrictions, reaching peak use (35% of visits) within 4 weeks of implementation. Use declined to 15% after national "Opening Up America Again" guidelines. In the multilevel model, patients more likely to use telemedicine were White non-Hispanic versus Black or Hispanic (odds ratio [OR] = 2.20, 95% confidence interval [CI] 1.03-4.72; p = 0.04) or receiving ≥6 fractions of RT versus 1-5 fractions (OR = 4.49, 95% CI 2.29-8.80; p < 0.001). Model intraclass correlation coefficient demonstrated 43% utilization variation was physician-level driven. Treatment toxicities and 30-day emergency visits or unplanned hospitalizations did not differ for patients using versus not using telemedicine (p > 0.05, all comparisons).

CONCLUSION:

Though toxicities were similar with telemedicine oncology management, there remained lower uptake among non-White patients. Continuing strategies for oncology telemedicine implementation should address multilevel patient, physician, and policy factors to optimize telemedicine's potential to surmount-and not exacerbate-barriers to quality cancer care.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / Radiation Oncology / Oncologists / COVID-19 / Neoplasms Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Cancer Med Year: 2022 Document Type: Article Affiliation country: Cam4.4555

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / Radiation Oncology / Oncologists / COVID-19 / Neoplasms Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Cancer Med Year: 2022 Document Type: Article Affiliation country: Cam4.4555