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10.1007/s10549-020-05828-7

http://scihub22266oqcxt.onion/10.1007/s10549-020-05828-7
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32772225!7415197!32772225
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suck abstract from ncbi


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pmid32772225      Breast+Cancer+Res+Treat 2020 ; 184 (1): 249-254
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  • Patient-reported treatment delays in breast cancer care during the COVID-19 pandemic #MMPMID32772225
  • Papautsky EL; Hamlish T
  • Breast Cancer Res Treat 2020[Nov]; 184 (1): 249-254 PMID32772225show ga
  • PURPOSE: The coronavirus disease (COVID-19) pandemic has had a profound impact on cancer care in the US Guidelines focused on the management of COVID-19, rather than healthcare needs of breast cancer patients requiring access to crucial services. This US survey of breast cancer survivors characterizes treatment delays early period in the pandemic. METHODS: We developed a survey and administered it to 609 adult breast cancer survivors in the US. We used snowball sampling with invitations distributed via social media. We used logistic regression to select a model of delay from a pool of independent variables including race, cancer stage, site of care, health insurance, and age. We used descriptive statistics to characterize delay types. RESULTS: Forty-four percent of participants reported cancer care treatment delays during the pandemic. Delays in all aspects of cancer care and treatment were reported. The only variable which had a significant effect was age (97 (.95, 99), p < 0.001) with younger respondents (M = 45.94, SD = 10.31) reporting a higher incidence of delays than older respondents (M = 48.98, SD = 11.10). There was no significant effect for race, insurance, site of care, or cancer stage. CONCLUSIONS: Our findings reveal a pervasive impact of COVID-19 on breast cancer care and a gap in disaster preparedness that leaves cancer survivors at risk for poor outcomes. Delays are critical to capture and characterize to help cancer providers and healthcare systems develop effective and patient-tailored processes and strategies to manage cases during the current pandemic wave, subsequent waves, and future disasters.
  • |*Coronavirus Infections[MESH]
  • |*Pandemics[MESH]
  • |*Pneumonia, Viral[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Antineoplastic Agents/therapeutic use[MESH]
  • |Betacoronavirus[MESH]
  • |Breast Neoplasms/diagnostic imaging/*therapy[MESH]
  • |COVID-19[MESH]
  • |Delivery of Health Care[MESH]
  • |Diagnostic Imaging/statistics & numerical data[MESH]
  • |Female[MESH]
  • |Genetic Counseling/statistics & numerical data[MESH]
  • |Genetic Testing/statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Logistic Models[MESH]
  • |Mammaplasty/statistics & numerical data[MESH]
  • |Mastectomy/statistics & numerical data[MESH]
  • |Middle Aged[MESH]
  • |Ovariectomy/statistics & numerical data[MESH]
  • |Radiotherapy/statistics & numerical data[MESH]
  • |SARS-CoV-2[MESH]
  • |Surveys and Questionnaires[MESH]
  • |Time-to-Treatment/*statistics & numerical data[MESH]
  • |United States[MESH]


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