Telemedicine use among patients with metastatic breast cancer during the COVID‐19 pandemic: Differences by race, age, and region

Purpose Our objective was to describe differences in telemedicine use among women with metastatic breast cancer (mBC) by race, age, and geographic region. Methods This was a retrospective cohort study of women with recurrent or de novo mBC treated in US community cancer practices that initiated a ne...

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Veröffentlicht in:Pharmacoepidemiology and drug safety 2023-01, Vol.32 (1), p.66-72
Hauptverfasser: Calip, Gregory S., Cohen, Aaron, Rohrer, Rebecca, Wang, Xiaoliang, Wang, Xiaoyan, Webster, Amy, Wu, Amy, Griffith, Sandra D., Showalter, Timothy N., Miksad, Rebecca A.
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container_end_page 72
container_issue 1
container_start_page 66
container_title Pharmacoepidemiology and drug safety
container_volume 32
creator Calip, Gregory S.
Cohen, Aaron
Rohrer, Rebecca
Wang, Xiaoliang
Wang, Xiaoyan
Webster, Amy
Wu, Amy
Griffith, Sandra D.
Showalter, Timothy N.
Miksad, Rebecca A.
description Purpose Our objective was to describe differences in telemedicine use among women with metastatic breast cancer (mBC) by race, age, and geographic region. Methods This was a retrospective cohort study of women with recurrent or de novo mBC treated in US community cancer practices that initiated a new line of therapy between March 2020 and February 2021. Multivariable modified Poisson regression models were used to calculate adjusted rate ratios (RR) and robust 95% confidence intervals (CI) associated with telemedicine visits within 90 days of therapy initiation. Results Overall, among 3412 women with mBC, 751 (22%) patients had telemedicine visits following therapy initiation, with lower risks observed among older women (
doi_str_mv 10.1002/pds.5541
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Methods This was a retrospective cohort study of women with recurrent or de novo mBC treated in US community cancer practices that initiated a new line of therapy between March 2020 and February 2021. Multivariable modified Poisson regression models were used to calculate adjusted rate ratios (RR) and robust 95% confidence intervals (CI) associated with telemedicine visits within 90 days of therapy initiation. Results Overall, among 3412 women with mBC, 751 (22%) patients had telemedicine visits following therapy initiation, with lower risks observed among older women (&lt;50 years: 24%; 50–64 years: 22%; 65–74 years: 21%; ≥75 years: 20%). Greater telemedicine use was observed among Asian women (35%) compared to White (21%), Black (18%), and Hispanic (21%) women. Fewer telemedicine visits occurred in Southern (12%) and Midwestern (17%) states versus Northeastern (37%) or Western (36%) states. In multivariable models, women ages ≥75 years had significantly lower risks of telemedicine visits (RR = 0.76, 95% CI 0.62–0.95) compared to ages &lt;50 years. Compared to patients in Northeastern states, women in Midwestern (RR = 0.46, 95% CI 0.37–0.57) and Southern (RR = 0.31, 95% CI 0.26–0.37) states had significantly lower risks of telemedicine visits; but not women in Western states (RR = 0.96, 95% CI 0.83–1.12). No statistically significant differences in telemedicine use were found between racial groups in overall multivariable models. Conclusions In this study of community cancer practices, older mBC patients and those living in Southern and Midwestern states were less likely to have telemedicine visits. Preferences for communication and delivery of care may have implications for measurement of exposures and endpoints in pharmacoepidemiologic studies of cancer patients.</description><identifier>ISSN: 1053-8569</identifier><identifier>EISSN: 1099-1557</identifier><identifier>DOI: 10.1002/pds.5541</identifier><identifier>PMID: 36111444</identifier><language>eng</language><publisher>Chichester, UK: John Wiley &amp; Sons, Inc</publisher><subject>Aged ; Breast cancer ; Breast Neoplasms - epidemiology ; Breast Neoplasms - pathology ; Breast Neoplasms - therapy ; Brief Report ; Brief Reports ; COVID-19 ; COVID-19 - epidemiology ; Female ; Humans ; Metastases ; Metastasis ; Middle Aged ; Pandemics ; Regression analysis ; Retrospective Studies ; Statistical analysis ; Telemedicine</subject><ispartof>Pharmacoepidemiology and drug safety, 2023-01, Vol.32 (1), p.66-72</ispartof><rights>2022 Flatiron Health, Inc. published by John Wiley &amp; Sons Ltd.</rights><rights>2022 Flatiron Health, Inc. Pharmacoepidemiology and Drug Safety published by John Wiley &amp; Sons Ltd.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4391-3815c1bbc5dea9ead8cfff3ae3517c1951b8167b79f0fd5d702a075a37e38b123</citedby><cites>FETCH-LOGICAL-c4391-3815c1bbc5dea9ead8cfff3ae3517c1951b8167b79f0fd5d702a075a37e38b123</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fpds.5541$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fpds.5541$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36111444$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Calip, Gregory S.</creatorcontrib><creatorcontrib>Cohen, Aaron</creatorcontrib><creatorcontrib>Rohrer, Rebecca</creatorcontrib><creatorcontrib>Wang, Xiaoliang</creatorcontrib><creatorcontrib>Wang, Xiaoyan</creatorcontrib><creatorcontrib>Webster, Amy</creatorcontrib><creatorcontrib>Wu, Amy</creatorcontrib><creatorcontrib>Griffith, Sandra D.</creatorcontrib><creatorcontrib>Showalter, Timothy N.</creatorcontrib><creatorcontrib>Miksad, Rebecca A.</creatorcontrib><title>Telemedicine use among patients with metastatic breast cancer during the COVID‐19 pandemic: Differences by race, age, and region</title><title>Pharmacoepidemiology and drug safety</title><addtitle>Pharmacoepidemiol Drug Saf</addtitle><description>Purpose Our objective was to describe differences in telemedicine use among women with metastatic breast cancer (mBC) by race, age, and geographic region. Methods This was a retrospective cohort study of women with recurrent or de novo mBC treated in US community cancer practices that initiated a new line of therapy between March 2020 and February 2021. Multivariable modified Poisson regression models were used to calculate adjusted rate ratios (RR) and robust 95% confidence intervals (CI) associated with telemedicine visits within 90 days of therapy initiation. Results Overall, among 3412 women with mBC, 751 (22%) patients had telemedicine visits following therapy initiation, with lower risks observed among older women (&lt;50 years: 24%; 50–64 years: 22%; 65–74 years: 21%; ≥75 years: 20%). Greater telemedicine use was observed among Asian women (35%) compared to White (21%), Black (18%), and Hispanic (21%) women. Fewer telemedicine visits occurred in Southern (12%) and Midwestern (17%) states versus Northeastern (37%) or Western (36%) states. In multivariable models, women ages ≥75 years had significantly lower risks of telemedicine visits (RR = 0.76, 95% CI 0.62–0.95) compared to ages &lt;50 years. Compared to patients in Northeastern states, women in Midwestern (RR = 0.46, 95% CI 0.37–0.57) and Southern (RR = 0.31, 95% CI 0.26–0.37) states had significantly lower risks of telemedicine visits; but not women in Western states (RR = 0.96, 95% CI 0.83–1.12). No statistically significant differences in telemedicine use were found between racial groups in overall multivariable models. Conclusions In this study of community cancer practices, older mBC patients and those living in Southern and Midwestern states were less likely to have telemedicine visits. Preferences for communication and delivery of care may have implications for measurement of exposures and endpoints in pharmacoepidemiologic studies of cancer patients.</description><subject>Aged</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - epidemiology</subject><subject>Breast Neoplasms - pathology</subject><subject>Breast Neoplasms - therapy</subject><subject>Brief Report</subject><subject>Brief Reports</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>Female</subject><subject>Humans</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Middle Aged</subject><subject>Pandemics</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Statistical analysis</subject><subject>Telemedicine</subject><issn>1053-8569</issn><issn>1099-1557</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><recordid>eNp1kc1u1DAQxy1ERdsFiSdAlrhwIK0ntpOYC0K7QCtVKhKFq-U4k11XibPYCdXeKp6AZ-RJcOgHHxIXe-T5-T_znyHkKbAjYCw_3jbxSEoBD8gBMKUykLJ8OMeSZ5Us1D45jPGSsZRT4hHZ5wUACCEOyLcL7LDHxlnnkU4RqekHv6ZbMzr0Y6RXbtzQHkcTx_RkaR0whdQabzHQZgou0eMG6fL88-nqx_V3UOmzb7B39hVdubbFgImNtN7RYCy-pGY9H76hAddu8I_JXmu6iE9u7wX59O7txfIkOzt_f7p8c5ZZwRVkvAJpoa6tbNAoNE1l27blBrmE0oKSUFdQlHWpWtY2silZblgpDS-RVzXkfEFe3-hupzo5tsleMJ3eBtebsNODcfrvjHcbvR6-6jRiBVWa5YK8uFUIw5cJ46h7Fy12nfE4TFHnJUghZF7N6PN_0MthCj75S5QUvBBFoX4L2jDEGLC97wbYXDbXabN63mxCn_3Z_T14t8oEZDfAletw918h_WH18ZfgT899rtE</recordid><startdate>202301</startdate><enddate>202301</enddate><creator>Calip, Gregory S.</creator><creator>Cohen, Aaron</creator><creator>Rohrer, Rebecca</creator><creator>Wang, Xiaoliang</creator><creator>Wang, Xiaoyan</creator><creator>Webster, Amy</creator><creator>Wu, Amy</creator><creator>Griffith, Sandra D.</creator><creator>Showalter, Timothy N.</creator><creator>Miksad, Rebecca A.</creator><general>John Wiley &amp; 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Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Pharmacoepidemiology and drug safety</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Calip, Gregory S.</au><au>Cohen, Aaron</au><au>Rohrer, Rebecca</au><au>Wang, Xiaoliang</au><au>Wang, Xiaoyan</au><au>Webster, Amy</au><au>Wu, Amy</au><au>Griffith, Sandra D.</au><au>Showalter, Timothy N.</au><au>Miksad, Rebecca A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Telemedicine use among patients with metastatic breast cancer during the COVID‐19 pandemic: Differences by race, age, and region</atitle><jtitle>Pharmacoepidemiology and drug safety</jtitle><addtitle>Pharmacoepidemiol Drug Saf</addtitle><date>2023-01</date><risdate>2023</risdate><volume>32</volume><issue>1</issue><spage>66</spage><epage>72</epage><pages>66-72</pages><issn>1053-8569</issn><eissn>1099-1557</eissn><abstract>Purpose Our objective was to describe differences in telemedicine use among women with metastatic breast cancer (mBC) by race, age, and geographic region. Methods This was a retrospective cohort study of women with recurrent or de novo mBC treated in US community cancer practices that initiated a new line of therapy between March 2020 and February 2021. Multivariable modified Poisson regression models were used to calculate adjusted rate ratios (RR) and robust 95% confidence intervals (CI) associated with telemedicine visits within 90 days of therapy initiation. Results Overall, among 3412 women with mBC, 751 (22%) patients had telemedicine visits following therapy initiation, with lower risks observed among older women (&lt;50 years: 24%; 50–64 years: 22%; 65–74 years: 21%; ≥75 years: 20%). Greater telemedicine use was observed among Asian women (35%) compared to White (21%), Black (18%), and Hispanic (21%) women. Fewer telemedicine visits occurred in Southern (12%) and Midwestern (17%) states versus Northeastern (37%) or Western (36%) states. In multivariable models, women ages ≥75 years had significantly lower risks of telemedicine visits (RR = 0.76, 95% CI 0.62–0.95) compared to ages &lt;50 years. Compared to patients in Northeastern states, women in Midwestern (RR = 0.46, 95% CI 0.37–0.57) and Southern (RR = 0.31, 95% CI 0.26–0.37) states had significantly lower risks of telemedicine visits; but not women in Western states (RR = 0.96, 95% CI 0.83–1.12). No statistically significant differences in telemedicine use were found between racial groups in overall multivariable models. Conclusions In this study of community cancer practices, older mBC patients and those living in Southern and Midwestern states were less likely to have telemedicine visits. Preferences for communication and delivery of care may have implications for measurement of exposures and endpoints in pharmacoepidemiologic studies of cancer patients.</abstract><cop>Chichester, UK</cop><pub>John Wiley &amp; Sons, Inc</pub><pmid>36111444</pmid><doi>10.1002/pds.5541</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
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subjects Aged
Breast cancer
Breast Neoplasms - epidemiology
Breast Neoplasms - pathology
Breast Neoplasms - therapy
Brief Report
Brief Reports
COVID-19
COVID-19 - epidemiology
Female
Humans
Metastases
Metastasis
Middle Aged
Pandemics
Regression analysis
Retrospective Studies
Statistical analysis
Telemedicine
title Telemedicine use among patients with metastatic breast cancer during the COVID‐19 pandemic: Differences by race, age, and region
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