Vaccine Hesitancy versus Vaccine Behavior in Patients with Chronic Illness.

While vaccine hesitancy has been described for the general population, vaccine hesitancy among the chronically ill has not been well explored. This study assesses COVID­19 vaccine hesitancy and uptake among individuals with chronic illness using nationwide survey data. We analyzed vaccine hesitancy prior to and after approval of the vaccines using multinomial logistic regression and binomial logistic regression, respectively. In the first survey, 39% reported they were unlikely or unsure about receiving the vaccine. In adjusted analyses, female sex, Black race, anti­vaccination attitudes, media mistrust, and not following the media were associated with vaccine hesitancy. Despite this hesitance, in the follow­up survey, 89% reported vaccine receipt, with those more fearful of COVID­19, with more trust in the media, and closely following the development of the vaccine were most likely to move from hesitance to acceptance. Vaccine hesitancy is a mutable characteristic, underscoring the need for high-quality public health messaging.

Health insurance and financial hardship in cancer survivors during the COVID-19 pandemic.

Uninsured or underinsured individuals with cancer are likely to experience financial hardship, including forgoing healthcare or non-healthcare needs such as food, housing, or utilities. This study evaluates the association between health insurance coverage and financial hardship among cancer survivors during the COVID-19 pandemic. This cross-sectional analysis used Patient Advocate Foundation (PAF) survey data from May to July 2020. Cancer survivors who previously received case management or financial aid from PAF self-reported challenges paying for healthcare and non-healthcare needs during the COVID-19 pandemic. Associations between insurance coverage and payment challenges were estimated using Poisson regression with robust standard errors, which allowed for estimation of adjusted relative risks (aRR). Of 1,437 respondents, 74% had annual household incomes <$48,000. Most respondents were enrolled in Medicare (48%), 22% in employer-sponsored insurance, 13% in Medicaid, 6% in an Affordable Care Act (ACA) plan, and 3% were uninsured. Approximately 31% of respondents reported trouble paying for healthcare during the COVID-19 pandemic. Respondents who were uninsured (aRR 2.58, 95% confidence interval [CI] 1.83-3.64), enrolled in an ACA plan (aRR 1.86, 95% CI 1.28-2.72), employer-sponsored insurance (aRR 1.70, 95% CI 1.23-2.34), or Medicare (aRR 1.49, 95% CI 1.09-2.03) had higher risk of trouble paying for healthcare compared to Medicaid enrollees. Challenges paying for non-healthcare needs were reported by 57% of respondents, with 40% reporting trouble paying for food, 31% housing, 28% transportation, and 20% internet. In adjusted models, Medicare and employer-sponsored insurance enrollees were less likely to have difficulties paying for non-healthcare needs compared to Medicaid beneficiaries. Despite 97% of our cancer survivor sample being insured, 31% and 57% reported trouble paying for healthcare and non-healthcare needs during the COVID-19 pandemic, respectively. Greater attention to both medical and non-medical financial burden is needed given the economic pressures of the COVID-19 pandemic.

Determinants of telemedicine adoption among financially distressed patients with cancer during the COVID-19 pandemic: insights from a nationwide study.

PURPOSE: Telemedicine use during the COVID-19 pandemic among financially distressed patients with cancer, with respect to the determinants of adoption and patterns of utilization, has yet to be delineated. We sought to systematically characterize telemedicine utilization in financially distressed patients with cancer during the COVID-19 pandemic. METHODS: We conducted a cross-sectional analysis of nationwide survey data assessing telemedicine use in patients with cancer during the COVID-19 pandemic collected by Patient Advocate Foundation (PAF) in December 2020. Patients were characterized as financially distressed by self-reporting limited financial resources to manage out-of-pocket costs, psychological distress, and/or adaptive coping behaviors. Primary study outcome was telemedicine utilization during the pandemic. Secondary outcomes were telemedicine utilization volume and modality preferences. Multivariable and Poisson regression analyses were used to identify factors associated with telemedicine use. RESULTS: A convenience sample of 627 patients with cancer responded to the PAF survey. Telemedicine adoption during the pandemic was reported by 67% of patients, with most (63%) preferring video visits. Younger age (19-35 age compared to ≥ 75 age) (OR, 6.07; 95% CI, 1.47-25.1) and more comorbidities (≥ 3 comorbidities compared to cancer only) (OR, 1.79; 95% CI, 1.13-2.65) were factors associated with telemedicine adoption. Younger age (19-35 years) (incidence rate ratios [IRR], 1.78; 95% CI, 24-115%) and higher comorbidities (≥ 3) (IRR; 1.36; 95% CI, 20-55%) were factors associated with higher utilization volume. As area deprivation index increased by 10 units, the number of visits decreased by 3% (IRR 1.03, 95% CI, 1.03-1.05). CONCLUSIONS: The rapid adoption of telemedicine may exacerbate existing inequities, particularly among vulnerable financially distressed patients with cancer. Policy-level interventions are needed for the equitable and efficient provision of this service.

Patient perspectives on chemotherapy de-escalation in breast cancer.

BACKGROUND: Given excellent survival outcomes in breast cancer, there is interest in de-escalating the amount of chemotherapy delivered to patients. This approach may be of even greater importance in the setting of the COVID-19 pandemic. METHODS: This concurrent mixed methods study included (1) interviews with patients and patient advocates and (2) a cross-sectional survey of women with breast cancer served by a charitable nonprofit organization. Questions evaluated interest in de-escalation trial participation, perceived barriers/facilitators to participation, and language describing de-escalation. RESULTS: Sixteen patient advocates and 24 patients were interviewed. Key barriers to de-escalation included fear of recurrence, worry about decision regret, lack of clinical trial interest, and dislike for focus on less treatment. Facilitators included trust in physician recommendation, toxicity avoidance, monitoring for progression, perception of good prognosis, and impact on daily life. Participants reported that the COVID-19 pandemic made them more likely to avoid chemotherapy if possible. Of 91 survey respondents, many (43%) patients would have been unwilling to participation in a de-escalation clinical trial. The most commonly reported barrier to participation was fear of recurrence (85%). Few patients (19%) considered clinical trials themselves as a barrier to de-escalation trial participation. The most popular terminology describing chemotherapy de-escalation was "lowest effective chemotherapy dose" (53%); no patients preferred the term "de-escalation." CONCLUSIONS: Fear of recurrence is a common concern among breast cancer survivors and patient advocates, contributing to resistance to de-escalation clinical trial participation. Additional research is needed to understand how to engage patients in de-escalation trials.