Patient-Reported Experiences of Breast Cancer Screening, Diagnosis, and Treatment Delay, and Telemedicine Adoption during COVID-19

The impact of COVID-19 on 2020 monthly incidence trends of primary brain and other CNS tumors

BACKGROUND

To mitigate disease spread, restrictions implemented in the United States surrounding the COVID-19 pandemic created an environment that led to delays in cancer diagnosis. The data needed to accurately analyze the impact of the pandemic on brain and CNS tumor incidence has not been available until now. Utilizing incidence data from the Central Brain Tumor Registry of the United States (CBTRUS) we analyzed the impact of the COVID-19 pandemic on primary brain and other CNS tumor incidence for the first year of the pandemic.

METHODS

Monthly age-adjusted incidence rates and incidence trends for 2019 and 2020 were determined for age at diagnosis, sex, race, ethnicity, diagnostic confirmation, behavior, tumor histopathology, and county-level urbanization. Monthly incidence rate ratios comparing 2020 and 2019 were evaluated for the same factors.

RESULTS

Overall, there was a notable decrease in incidence rates in March-May 2020 when compared to 2019. These decreases were driven by nonmalignant tumors, with a 50% incidence decrease between March 2020 and 2019. Individuals who were Black had a larger incidence decrease in early 2020 than individuals who were White. Radiographically confirmed tumors saw larger incidence decreases than histologically confirmed tumors. There were no changes in monthly incidence of glioblastoma in 2020 compared to 2019.

CONCLUSIONS

These data provide evidence that disruptions in medical care, such as governmental and health care mandates, in response to the COVID-19 pandemic resulted in an overall decreased incidence of primary brain tumors in early 2020.

Negotiating cancer alone: A qualitative study exploring care experiences of racially and ethnically diverse women diagnosed with breast cancer during COVID-19

COVID-19 has critically impacted cancer care services including reduced screenings, diagnoses, and surgeries; particularly among Black and Latina/x women who already suffer worse outcomes. This qualitative study explored the care experiences of a diverse sample of breast cancer survivors (N = 21; 7 Black, 4 Hispanic, 10 White) undergoing treatment during the pandemic via online semi-structured interviews. Grounded theory analysis yielded the core category "negotiating cancer alone," that included: (1) psychological distress, negotiating the cancer trajectory in isolation; (2) provider/healthcare system diagnostic and treatment delays; (3) heightened anxiety about treatment delays causing cancer progression; (4) supportive care limitations; and (5) disparate experiences of cancer care disruptions. Black and Latina/x women described greater delays in care, financial challenges, treatment complications, and insurance limitations than White women. The study identifies cancer patients' pandemic-related psychological, healthcare system, and health equity challenges and suggests recommendations to support their increased psychological needs during oncologic care disruptions.

COVID-19 pandemic impact on the potential exacerbation of screening mammography disparities: A population-based study in Ontario, Canada

Strategies to ramp up breast cancer screening after COVID-19 require data on the influence of the pandemic on groups of women with historically low screening uptake. Using data from Ontario, Canada, our objectives were to 1) quantify the overall pandemic impact on weekly bilateral screening mammography rates (per 100,000) of average-risk women aged 50-74 and 2) examine if COVID-19 has shifted any mammography inequalities according to age, immigration status, rurality, and access to material resources. Using a segmented negative binomial regression model, we estimated the mean change in rate at the start of the pandemic (the week of March 15, 2020) and changes in weekly trend of rates during the pandemic period (March 15-December 26, 2020) compared to the pre-pandemic period (January 3, 2016-March 14, 2020) for all women and for each subgroup. A 3-way interaction term (COVID-19*week*subgroup variable) was added to the model to detect any pandemic impact on screening disparities. Of the 3,481,283 mammograms, 8.6 % (n = 300,064) occurred during the pandemic period. Overall, the mean weekly rate dropped by 93.4 % (95 % CI 91.7 % - 94.8 %) at the beginning of COVID-19, followed by a weekly increase of 8.4 % (95 % CI 7.4 % - 9.4 %) until December 26, 2020. The pandemic did not shift any disparities (all interactions p > 0.05) and that women who were under 60 or over 70, immigrants, or with a limited access to material resources had persistently low screening rate in both periods. Interventions should proactively target these underserved populations with the goals of reducing advanced-stage breast cancer presentations and mortality.

Telehealth in breast cancer following the coronavirus disease 2019 pandemic

Breast cancer (BC) is the second most diagnosed cancer in 2018 with around 2.3 million cases globally in 2020. In March 2020 and after its worldwide spread, the World Health Organization (WHO) declared the coronavirus disease 2019 (COVID-19) outbreak, a respiratory disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, a pandemic. During this time, cancer patients were heavily impacted and their treatment plans were changed due to measures to fight the disease and solutions had to be found to maintain their follow-up and management from a distance. Some cancer groups worldwide have recommended then the use of telemedicine for oncology patients to ensure the continuity of medical care during the pandemic. This method was considered effective and clinicians worldwide continued using telehealth even after the cessation of worldwide restrictions. To this end, current up-to-date data on the use of telemedicine in BC patient after the COVID-19 outbreak are summarized in this narrative review.

Impact of age, race, and family history on COVID-19-related changes in breast cancer screening among the Boston mammography cohort study

PURPOSE

We studied women enrolled in the Boston Mammography Cohort Study to investigate whether subgroups defined by age, race, or family history of breast cancer experienced differences in the incidence of screening or diagnostic imaging rates during the COVID-19 lockdown and had slower rebound in the incidence of these rates during reopening.

METHODS

We compared the incidence of monthly breast cancer screening and diagnostic imaging rates over during the pre-COVID-19 (January 2019-February 2020), lockdown (March-May 2020), and reopening periods (June-December 2020), and tested for differences in the monthly incidence within the same period by age (< 50 vs ≥ 50), race (White vs non-White), and first-degree family history of breast cancer (yes vs no).

RESULTS

Overall, we observed a decline in breast cancer screening and diagnostic imaging rates over the three time periods (pre-COVID-19, lockdown, and reopening). The monthly incidence of breast cancer screening rates for women age ≥ 50 was 5% higher (p = 0.005) in the pre-COVID-19 period (January 2019-February 2020) but was 19% lower in the reopening phase (June-December 2020) than that of women aged < 50 (p < 0.001). White participants had 36% higher monthly incidence of breast cancer diagnostic imaging rates than non-White participants (p = 0.018).

CONCLUSION

The rebound in screening was lower in women age ≥ 50 and lower in non-White women for diagnostic imaging. Careful attention must be paid as the COVID-19 recovery continues to ensure equitable resumption of care.

Disparities in Time to Diagnosis Among Patients With Multiple Myeloma

BACKGROUND

Multiple myeloma (MM) is one of the most diagnosed hematologic malignancies in the United States. Despite improvements in therapy, health disparities persist among patients with MM. Here, we aim to determine whether there are disparities in time to diagnosis (TTD) among MM patients with regard to income, race/ethnicity, and gender.

PATIENTS

Patients with a monoclonal protein detected in the serum and/or urine and a subsequent bone marrow biopsy confirmed diagnosis of MM were included in the study.

METHODS

We extracted data on patients with MM and assessed whether the predictor variables were associated with the primary outcome of TTD, which we define as the time between detection of a monoclonal protein in the serum or urine and bone marrow biopsy diagnosis of MM.

RESULTS

Compared to patients with commercial insurance, patients receiving Medicaid (HR: 0.408, 95% CI: 0.206-0.808; P = .010) and patients without insurance (HR: 0.428, 95% CI: 0.207-0.885; P = .022) were significantly more likely to have delayed TTD. TTD was also prolonged if the provider who ordered the testing for the detection of a monoclonal protein was not a hematologist (HR: 0.435, 95% CI: 0.284-0.668; P < .0001). No disparities were found with regard to race/ethnicity or gender.

CONCLUSION

This study suggests there may be socioeconomic disparities in TTD among patients with MM. Interventions such as patient navigation may be useful to reduce TTD among socioeconomically disadvantaged patient populations. Further studies need to be conducted to elucidate reasons for delays.

Impact of the COVID-19 Pandemic on Delays to Breast Cancer Surgery: Ripples or Waves?

BACKGROUND

Adherence to current recommendations for optimal time from diagnosis to treatment for patients with breast cancer may have been disrupted by the COVID-19 pandemic. This study aimed to evaluate the impact of the pandemic on time to surgery or systemic treatment with chemotherapy or immunotherapy for patients diagnosed with breast cancer.

METHODS

Using the National Cancer Database, patients diagnosed with breast cancer in 2020 were compared to those diagnosed from 2018-2019 (Pre-COVID). Sub-analyses were performed for patients who were tested for COVID-19 and those who had a positive result in 2020. Multivariate logistic regression was used assess odds ratios for delayed time to surgery (DTS, defined as > 90 days) or systemic therapy (defined as > 120 days).

RESULTS

In total, 230,997 patients were diagnosed with breast cancer in 2018 and 2019 compared to 102,065 in 2020. Of the 2020 cohort, 47,659 (46.7%) received COVID-19 testing; of which, 3,158 (6.6%) resulted positive. A larger proportion of COVID-tested or COVID-positive patients had higher stage at diagnosis. DTS was more likely for patients who were diagnosed in 2020, uninsured or underinsured, non-white, Hispanic, less educated, or age < 70 years. Similar factors were predictive of delay to systemic therapy (less age < 70 years); however, diagnosis in 2020 was not.

CONCLUSION

The COVID-19 pandemic was associated with significant DTS for breast cancer but spared time to systemic therapy. Delays disproportionately impacted vulnerable and underserved patient populations. The true clinical effects of these delays may yet be realized for breast cancer patients.

Timeliness of diagnostic evaluation for postmenopausal bleeding: A retrospective cohort study using claims data

BACKGROUND

Postmenopausal bleeding (PMB) is a common gynecologic condition. Although it can be a sign of uterine cancer, most patients have benign etiology. However, research on quality of diagnostic evaluation for PMB has been limited to cancer patients. To extend this research, we examined the timeliness of diagnostic evaluation for PMB among patients with benign conditions.

METHODS

Using the 2008-2019 MarketScan Research Databases, we identified 499176 patients (456741 with commercial insurance and 42435 with Medicaid insurance) who presented with PMB but did not have gynecologic cancer. For each patient, we measured the time from their PMB reporting to the date of their first diagnostic procedure. The association between patient characteristics and time to first diagnostic procedure was examined using Cox proportional hazards models (for the overall sample and then stratified by insurance type).

RESULTS

Overall, 54.3% of patients received a diagnostic procedure on the same day when they reported PMB and 86.6% received a diagnostic procedure within 12 months after reporting PMB. These percentages were 39.4% and 77.1%, respectively, for Medicaid patients, compared to 55.7% and 87.4%, respectively, for commercially insured patients (p<0.001 for both). Medicaid patients had an 18% lower rate of receiving a diagnostic procedure at any given time point than commercially insured patients (adjusted hazard ratio = 0.82, 95% CI: 0.81-0.83). Meanwhile, older age and non-gynecologic comorbidities were associated with a lower rate whereas concomitant gynecologic conditions and recent use of preventive care were associated with a higher rate of receiving diagnostic procedures. Analysis stratified by insurance type identified additional risk factors for delayed diagnostic procedures (e.g., non-metropolitan versus metropolitan location for commercially insured patients and Black versus White race for Medicaid patients).

CONCLUSION

A sizable proportion of patients did not receive prompt diagnostic evaluation for PMB. Both clinical and non-clinical factors could affect timeliness of evaluation.

Development and Psychometric Evaluation of Healthcare Access Measures among Women with Ovarian Cancer

Several proposed theoretical frameworks have defined the complex nature of healthcare access (HCA) [...].