Financial toxicity, mental health, and gynecologic cancer treatment: The effect of the COVID-19 pandemic among low-income women in New York City.

BACKGROUND: New York City (NYC) emerged as an epicenter of the COVID-19 pandemic, and marginalized populations were affected at disproportionate rates. The authors sought to determine the impact of COVID-19 on cancer treatment, anxiety, and financial distress among low-income patients with gynecologic cancer during the peak of the NYC pandemic. METHODS: Medicaid-insured women who were receiving gynecologic oncology care at 2 affiliated centers were contacted by telephone interviews between March 15 and April 15, 2020. Demographics and clinical characteristics were obtained through self-report and retrospective chart review. Financial toxicity, anxiety, and cancer worry were assessed using modified, validated surveys. RESULTS: In total, 100 patients completed the telephone interview. The median age was 60 years (range, 19-86 years), and 71% had an annual income <$40,000. A change in employment status and early stage cancer (stage I and II) were associated with an increase in financial distress (P < .001 and P = .008, respectively). Early stage cancer and telehealth participation were significantly associated with increased worry about future finances (P = .017 and P = .04, respectively). Lower annual income (<$40,000) was associated with increased cancer worry and anxiety compared with higher annual income (>$40,000; P = .036 and P = .017, respectively). When controlling for telehealth participation, income, primary language, and residence in a high COVID-19 prevalence area, a delay in medical care resulted in a 4-fold increased rate of anxiety (P = .023, 95% CI, 1.278-14.50). Race was not significantly associated with increased financial distress, cancer worry, or anxiety. CONCLUSIONS: Low socioeconomic status was the most common risk factor for increased financial distress, cancer worry, and anxiety. Interventions aimed at improving access to timely oncology care should be implemented during this ongoing pandemic.

Impact of the coronavirus disease 2019 pandemic on the quality of life for women with ovarian cancer.

BACKGROUND: The coronavirus disease 2019 pandemic has resulted in unprecedented challenges for the oncology community. For people living with cancer, treatments are interrupted, surgeries cancelled, and regular oncology evaluations rescheduled. People with cancer and their physicians must balance plausible fears of coronavirus disease 2019 and cancer treatment with the consequences of delaying cancer care. OBJECTIVE: We aim to evaluate the experience of women with ovarian cancer during the coronavirus disease 2019 pandemic. STUDY DESIGN: Women with a current or previous diagnosis of ovarian cancer completed an online survey focusing on treatment interruptions and quality of life. The quality of life was measured with the Cancer Worry Scale and Hospital Anxiety and Depression Scale. The survey was distributed through survivor networks and social media. Univariate and multivariable linear regression analysis were used to evaluate the effect of participant characteristics on quality of life survey scores. RESULTS: A total of 603 women, from 41 states, visited the survey website between March 30, 2020, and April 13, 2020, and 555 (92.0%) completed the survey. The median age was 58 years (range, 20-85). At the time of survey completion, 217 participants (43.3%) were in active treatment. A total of 175 participants (33%) experienced a delay in some component of their cancer care. Ten (26.3%) of the 38 participants scheduled for surgery experienced a delay, as did 18 (8.3%) of the 217 participants scheduled for nonsurgical cancer treatment. A total of 133 participants (24.0%) had a delayed physician appointment, 84 (15.1%) laboratory tests, and 53 (9.6%) cancer-related imaging. Among the cohort, 88.6% (489) reported significant cancer worry, 51.4% (285) borderline or abnormal anxiety, and 26.5% (147) borderline or abnormal depression. On univariate analysis, age less than 65 years, being scheduled for cancer treatment or cancer surgery, delay in oncology care, being self-described as immunocompromised, and use of telemedicine were all associated with higher levels of cancer worry. Higher anxiety scores were associated with age less than 65 years and being self-described as immunocompromised. Higher depression scores were associated with age less than 65 years, being scheduled for cancer surgery, delay in oncology care, being self-described as immunocompromised, and use of telemedicine. On multivariable linear regression analysis, age less than 65 and being self-described as immunocompromised were independently predictive of greater cancer worry, anxiety, and depression, and delay in cancer care was predictive of anxiety and depression. CONCLUSION: The coronavirus disease 2019 crisis is affecting care of patients with ovarian cancer; surgeries, treatments, scheduled physician appointments, laboratory tests, and imaging are cancelled or delayed. Younger age, presumed immunocompromise, and delay in cancer care were associated with significantly higher levels of cancer worry, anxiety, and depression. Providers must work with patients to balance competing risks of coronavirus disease 2019 and cancer, recognizing that communication is a critical clinical tool to improve quality of life in these times.

Adapting and avoiding coping strategies for women with ovarian cancer during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has resulted in unprecedented challenges for people living with cancer, impacting not only physical health but psychological well-being. The psychological response affects the individual as well as the community and can persist long after the outbreak. We aim to assess coping strategies employed by women with ovarian cancer during the COVID-19 pandemic. METHODS: Women with a current or prior diagnosis of ovarian cancer completed an online survey which included a query about coping strategies during the COVID-19 pandemic. The survey was distributed from March 30th through April 13, 2020 through survivor networks and social media. RESULTS: Six hundred and three women visited the survey website during the study period and 555 (92.0%) completed the survey. Four hundred and eight (73.5%) provided information on coping strategies utilized during COVID-19. Among those who responded, the median age was 58 years (range 20-85) and 150 participants (40.8%) were undergoing active cancer treatment. Commonly utilized adaptive coping strategies included emotional support (159, 39.0%), self care (148, 36.3%), hobbies (139, 34.1%), planning (87, 21.3%), positive reframing (54, 13.2%), religion (50, 12.3%) and instrumental support (38, 9.3%). Many participants also relied on avoidance coping strategies including self distraction (111, 27.2%) and substance use (19, 4.7%). CONCLUSIONS: Most ovarian cancer survivors are using adaptive, problem-focused coping strategies during the COVID-19 pandemic, however many are practicing avoidance strategies as well. As coping mechanisms profoundly impact quality of life, oncology providers must assist patients in identifying coping strategies that optimize physical and psychological well-being.

Clinical, regional, and genetic characteristics of Covid-19 patients from UK Biobank.

BACKGROUND: Coronavirus disease 2019 (Covid-19) has rapidly infected millions of people worldwide. Recent studies suggest that racial minorities and patients with comorbidities are at higher risk of Covid-19. In this study, we analyzed the effects of clinical, regional, and genetic factors on Covid-19 positive status. METHODS: The UK Biobank is a longitudinal cohort study that recruited participants from 2006 to 2010 from throughout the United Kingdom. Covid-19 test results were provided to UK Biobank starting on March 16, 2020. The main outcome measure in this study was Covid-19 positive status, determined by the presence of any positive test for a single individual. Clinical risk factors were derived from UK Biobank at baseline, and regional risk factors were imputed using census features local to each participant's home zone. We used robust adjusted Poisson regression with clustering by testing laboratory to estimate relative risk. Blood types were derived using genetic variants rs8176719 and rs8176746, and genomewide tests of association were conducted using logistic-Firth hybrid regression. RESULTS: This prospective cohort study included 397,064 UK Biobank participants, of whom 968 tested positive for Covid-19. The unadjusted relative risk of Covid-19 for Black participants was 3.66 (95% CI 2.83-4.74), compared to White participants. Adjusting for Townsend deprivation index alone reduced the relative risk to 2.44 (95% CI 1.86-3.20). Comorbidities that significantly increased Covid-19 risk included chronic obstructive pulmonary disease (adjusted relative risk [ARR] 1.64, 95% CI 1.18-2.27), ischemic heart disease (ARR 1.48, 95% CI 1.16-1.89), and depression (ARR 1.32, 95% CI 1.03-1.70). There was some evidence that angiotensin converting enzyme inhibitors (ARR 1.48, 95% CI 1.13-1.93) were associated with increased risk of Covid-19. Each standard deviation increase in the number of total individuals living in a participant's locality was associated with increased risk of Covid-19 (ARR 1.14, 95% CI 1.08-1.20). Analyses of genetically inferred blood types confirmed that participants with type A blood had increased odds of Covid-19 compared to participants with type O blood (odds ratio [OR] 1.16, 95% CI 1.01-1.33). A meta-analysis of genomewide association studies across ancestry groups did not reveal any significant loci. Study limitations include confounding by indication, bias due to limited information on early Covid-19 test results, and inability to accurately gauge disease severity. CONCLUSIONS: When assessing the association of Black race with Covid-19, adjusting for deprivation reduced the relative risk of Covid-19 by 33%. In the context of sociological research, these findings suggest that discrimination in the labor market may play a role in the high relative risk of Covid-19 for Black individuals. In this study, we also confirmed the association of blood type A with Covid-19, among other clinical and regional factors.

Gynecologic oncology care during the COVID-19 pandemic at three affiliated New York City hospitals.

BACKGROUND: New York City was among the epicenters during the COVID-19 pandemic. Oncologists must balance plausible risks of COVID-19 infection with the recognized consequences of delaying cancer treatment, keeping in mind the capacity of the health care system. We sought to investigate treatment patterns in gynecologic cancer care during the first two months of the COVID-19 pandemic at three affiliated New York City hospitals located in Brooklyn, Manhattan and Queens. METHODS: A prospective registry of patients with active or presumed gynecologic cancers receiving inpatient and/or outpatient care at three affiliated New York City hospitals was maintained between March 1 and April 30, 2020. Clinical and demographic data were abstracted from the electronic medical record with a focus on oncologic treatment. Multivariable logistic regression analysis was explored to evaluate the independent effect of hospital location, race, age, medical comorbidities, cancer status and COVID-19 status on treatment modifications. RESULTS: Among 302 patients with gynecologic cancer, 117 (38.7%) experienced a COVID-19-related treatment modification (delay, change or cancellation) during the first two months of the pandemic in New York. Sixty-four patients (67.4% of those scheduled for surgery) had a COVID-19-related modification in their surgical plan, 45 (21.5% of those scheduled for systemic treatment) a modification in systemic treatment and 12 (18.8% of those scheduled for radiation) a modification in radiation. Nineteen patients (6.3%) had positive COVID-19 testing. On univariate analysis, hospital location in Queens or Brooklyn, age ≤65 years, treatment for a new cancer diagnosis versus recurrence and COVID-19 positivity were associated with treatment modifications. On multivariable logistic regression analysis, hospital location in Queens and COVID-19 positive testing were independently associated with treatment modifications. CONCLUSIONS: More than one third of patients with gynecologic cancer at three affiliated New York City hospitals experienced a treatment delay, change or cancellation during the first two months of the COVID-19 pandemic. Among the three New York City boroughs represented in this study, likelihood of gynecologic oncology treatment modifications correlated with the case burden of COVID-19.