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.
Background The COVID-19 pandemic has broader geographic spread and potentially longer lasting effects than those of previous disasters. Necessary preventive precautions for the transmission of COVID-19 has resulted in delays for in-person health care services, especially at the outset of the pandemic. Objective Among a US sample, we examined the rates of delays (defined as cancellations and postponements) in health care at the outset of the pandemic and characterized the reasons for such delays. Methods As part of an internet-based survey that was distributed on social media in April 2020, we asked a US–based convenience sample of 2570 participants about delays in their health care resulting from the COVID-19 pandemic. Participant demographics and self-reported worries about general health and the COVID-19 pandemic were explored as potent determinants of health care delays. In addition to all delays, we focused on the following three main types of delays, which were the primary outcomes in this study: dental, preventive, and diagnostic care delays. For each outcome, we used bivariate statistical tests (t tests and chi-square tests) and multiple logistic regression models to determine which factors were associated with health care delays. Results The top reported barrier to receiving health care was the fear of SARS-CoV-2 infection (126/374, 33.6%). Almost half (1227/2570, 47.7%) of the participants reported experiencing health care delays. Among those who experienced health care delays and further clarified the type of delay they experienced (921/1227, 75.1%), the top three reported types of care that were affected by delays included dental (351/921, 38.1%), preventive (269/921, 29.2%), and diagnostic (151/921, 16.4%) care. The logistic regression models showed that age (P<.001), gender identity (P<.001), education (P=.007), and self-reported worry about general health (P<.001) were significantly associated with experiencing health care delays. Self-reported worry about general health was negatively related to experiencing delays in dental care. However, this predictor was positively associated with delays in diagnostic testing based on the logistic regression model. Additionally, age was positively associated with delays in diagnostic testing. No factors remained significant in the multiple logistic regression for delays in preventive care, and although there was trend between race and delays (people of color experienced fewer delays than White participants), it was not significant (P=.06). Conclusions The lessons learned from the initial surge of COVID-19 cases can inform systemic mitigation strategies for potential future disruptions. This study addresses the demand side of health care delays by exploring the determinants of such delays. More research on health care delays during the pandemic is needed, including research on their short- and long-term impacts on patient-level outcomes such as mortality, morbidity, mental health, people’s quality of life, and the experience of pain.
The Covid-19 pandemic is straining US healthcare resources, causing significant disruptions in cancer care. Prior to the pandemic, Black cancer survivors experienced a disproportionate burden of delays in cancer treatment compared to White cancer survivors. As a result of the pandemic, disruptions in care are widespread and affect cancer survivors regardless of race. This shift presented an opportunity to investigate differences in how Black and White cancer survivors experience disruptions in cancer care due to the pandemic. We conducted a national survey of adult breast cancer survivors, distributed online from 4/2/20 to 4/27/20. We used t -tests to compare cancer and non-cancer-related worry during the Covid-19 pandemic between Black and White breast cancer survivors. Analysis of data from 570 respondents (106 Black and 464 White) indicated significantly higher levels of distress among White respondents compared to Black respondents. Our results point to the importance of assessing race differences in emotional response to disruptions in cancer care during the pandemic. We suggest that differences in emotional distress may reflect differences in previous experience of treatment delays and coping strategies between Black and White breast cancer survivors.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.