Characterizing delayed care among US older adults by self-rated health during the COVID-19 pandemic.

OBJECTIVES: Previous studies showed that older adults with fair or poor self-rated health (SRH) were more likely to experience delayed care during the COVID-19 pandemic. We aim to understand delayed care patterns by SRH during the COVID-19 pandemic among US older adults. METHODS: Using a nationally representative sample of older adults (≥ 70 years old) from the National Health and Aging Trends Study (NHATS), we assessed the patterns of delayed care by good, fair, or poor SRH. RESULTS: Nearly one in five of the survey-weighted population of 9,465,117 older adults who experienced delayed care during the pandemic reported fair or poor SRH. The overall distributions of the numbers of types of delayed care (p = 0.16) and the numbers of reasons for delayed care (p = 0.12) did not differ significantly by SRH status. Older adults with good, fair, or poor SRH shared the four most common types of delayed care and three most common reasons for delayed care but differed in ranking. Older adults with poor SRH mostly delayed seeing a specialist (good vs. fair vs. poor SRH: 40.1%, 46.7%, 73%, p = 0.01). CONCLUSIONS: The results suggest that utilizing SRH as a simple indicator may help researchers and clinicians understand similarities and differences in care needs for older adults during the pandemic. Targeted interventions that address differences in healthcare needs among older adults by SRH during the evolving pandemic may mitigate the negative impacts of delayed care.

Telemedicine Utilization in the Ambulatory Palliative Care Setting: Are There Disparities in Access for Patients with Cancer?

Outcomes 1. Describe disparities in telemedicine utilization for patients with cancer in the ambulatory palliative care setting 2. Identify strategies to address disparities in telemedicine access for patients with cancer in the ambulatory palliative care setting Original Research Background Given a shortage of specialty palliative care clinicians and geographic variation in availability, telemedicine has been proposed as one way to improve access to palliative care services for patients with cancer. However, the enduring digital divide raises questions about whether unequal access will exacerbate healthcare disparities. Research Objectives Examine characteristics associated with utilization of telemedicine as compared to in-person visits by patients with cancer in the ambulatory palliative care setting. Methods We collected data on patients seen in the supportive oncology clinic by palliative care clinicians with an in-person or telemedicine visit from March 1 to December 30, 2020. A logistic regression with generalized estimating equation was fit to assess the association between visit type and patient characteristics. Results A total of 491 patients and 1,783 visits were identified, including 1,061 (60%) in-person visits and 722 (40%) telemedicine visits. Spanish-speaking patients (OR 0.32, 95% CI 0.17-0.61), those without insurance (OR 0.29, 95% CI 0.16-0.53), and those without an activated patient portal (inactivated: OR 0.45, 95% CI 0.26-0.80;pending activation: OR 0.29, 95% CI 0.18-0.47) were less likely to use telemedicine. In a comparison of video to audio-only visits in a secondary analysis, married patients were more likely to engage in video visits (OR 1.89, 95% CI 1.05-3.39). Conclusion Our study reveals disparities in telemedicine utilization in the ambulatory palliative care setting for patients with cancer who are Spanish-speaking, uninsured, or unmarried or do not have an activated patient portal. These findings suggest that the recent shift to telemedicine as a substitute for in-person visits may exacerbate existing disparities in access to disease-directed therapy, symptom management, and serious illness communication. Implications for Research, Policy, or Practice In the wake of the COVID-19 pandemic, we can better meet the palliative care needs of patients with cancer through telemedicine only if equity is kept at the forefront of our discussions.

Technology Use Among Cancer Patients Pre- and Post- COVID-19 Pandemic: The Role of Dementia

COVID-19 has highlighted increasing reliance on information and communication technology (ICT) and challenges in access and use. ICT access also provides resources that benefit users’ mental health. Our study describes changes in the use of ICT before and during the COVID-19 pandemic among cancer patients with and without dementia. We identified 196 (1.6 million weighted population) older adults with a self-reported cancer history who participated in both 2019 and 2020 National Health and Aging Trends Study (NHATS). In 2019, cancer patients with dementia (9.9%) were less likely (adjusted OR 0.29;95%CI, 0.11-0.78) to use information technology (IT) for health matters (contacting medical providers, handling health insurance matters, obtaining information about health conditions, and ordering prescription refills) compared to those without dementia. In contrast, dementia status was not associated with communication technology (CT) use (email or texts) or IT use for personal tasks (grocery shopping or online banking). IT use for personal tasks was inversely associated with anxiety symptoms (adjusted OR 0.22;95%CI:0.06-0.83) and CT use was inversely associated with depressive symptoms (adjusted OR 0.25 (95%CI:0.07-0.97). In 2020, regardless of dementia status, all cancer patients increased their virtual (email/phone/video) contact with family, friends (3.4%-7.0%), and medical providers (17.2%-36.2%) while decreasing in-person contact (10.0%-15.7% and 21.8%-24.2%, respectively) during the pandemic. This study suggests that there are potential unmet daily needs for patients with comorbid cancer and dementia that may be met with improved ICT access. Such challenges are of increasing concern as COVID-19 has resulted in increased ICT reliance for older adults.

Disparities in Marijuana and Tobacco Smoke Incursions Among New York City Families During Early Months of the COVID-19 Pandemic.

OBJECTIVES: Once the COVID-19 pandemic arrived in New York City (NYC), stay-at-home orders led to more time spent indoors, potentially increasing exposure to secondhand marijuana and tobacco smoke via incursions from common areas or neighbors. The objective of this study was to characterize housing-based disparities in marijuana and tobacco incursions in NYC housing during the pandemic. DESIGN: We surveyed a random sample of families from May to July 2020 and collected sociodemographic data, housing characteristics, and the presence, frequency, and pandemic-related change in incursions. SETTING: Five pediatric practices affiliated with a large NYC health care system. PARTICIPANTS: In total, 230 caregivers of children attending the practices. MAIN OUTCOME MEASURES: Prevalence and change in tobacco and marijuana smoke incursions. RESULTS: Tobacco and marijuana smoke incursions were reported by 22.9% and 30.7%, respectively. Twenty-two percent of families received financial housing support (public housing, Section-8). Compared with families in private housing, families with financial housing support had 3.8 times the odds of tobacco incursions (95% CI, 1.4-10.1) and 3.7 times the odds of worsening incursions during pandemic (95% CI, 1.1-12.5). Families with financially supported housing had 6.9 times the odds of marijuana incursions (95% CI, 2.4-19.5) and 5 times the odds of worsening incursions during pandemic (95% CI, 1.9-12.8). Children in financially supported housing spent more time inside the home during pandemic (median 24 hours vs 21.6 hours, P = .02) and were more likely to have asthma (37% vs 12.9%, P = .001) than children in private housing. CONCLUSIONS: Incursions were higher among families with financially supported housing. Better enforcement of existing regulations (eg, Smoke-Free Public Housing Rule) and implementation of additional policies to limit secondhand tobacco and marijuana exposure in children are needed. Such actions should prioritize equitable access to cessation and mental health services and consider structural systems leading to poverty and health disparities.

Telemedicine Utilization in the Ambulatory Palliative Care Setting: Are There Disparities?

CONTEXT: Given a shortage of specialty palliative care clinicians and geographic variation in availability, telemedicine has been proposed as one way to improve access to palliative care services for patients with cancer. However, the enduring digital divide raises questions about whether unequal access will exacerbate healthcare disparities. OBJECTIVES: To examine factors associated with utilization of telemedicine as compared to in-person visits by patients with cancer in the ambulatory palliative care setting. METHODS: We collected data on patients seen in Supportive Oncology clinic by palliative care clinicians with an in-person or telemedicine visit from March 1 to December 30, 2020. A logistic regression with generalized estimating equation was fit to assess the association between visit type and patient characteristics. RESULTS: A total of 491 patients and 1783 visits were identified, including 1061 (60%) in-person visits and 722 (40%) telemedicine visits. Female patients were significantly more likely to utilize telemedicine than male patients (OR 1.46; 95% CI 1.11-1.90). Spanish-speaking patients (OR 0.32, 95% CI 0.17-0.61), those without insurance (OR 0.28, 95% CI 0.15-0.52), and those without an activated patient portal (Inactivated: OR 0.46, 95% CI 0.26-0.82; Pending Activation: OR 0.29, 95% CI 0.18-0.48) were less likely to utilize telemedicine. CONCLUSION: Our study reveals disparities in telemedicine utilization in the ambulatory palliative care setting for patients with cancer who are male, Spanish-speaking, uninsured, or do not have an activated patient portal. In the wake of the COVID-19 pandemic, we can better meet the palliative care needs of patients with cancer through telemedicine only if equity is kept at the forefront of our discussions.

Internet-Based Health Care Communication Among Cancer Survivors, 2011-2018 National Health Interview Survey.

INTRODUCTION: Understanding trends and associated factors in internet-based health care communication (IBHC) among cancer survivors is important for meeting patient needs because their reliance on telehealth is growing. We aimed to examine IBHC use among cancer survivors in the US. METHODS: We identified adult cancer survivors aged 18 to 64 (n = 8,029) and 65 or older (n = 11,087) from the National Health Interview Survey in 2011-2018. We calculated temporal trends of self-reported IBHC in the previous year (filled a prescription, scheduled a medical appointment, or communicated with a health care provider) and used multivariable logistic models to identify associated factors. RESULTS: Approximately 84% of survivors had been diagnosed 2 years or more before the survey. IBHC prevalence increased among cancer survivors aged 18 to 64, from 19.3% to 40.2%, and among those aged 65 or older, from 11.4% to 22.6%, from 2011 to 2018 (P for trend <.001). Among both age groups, lower educational attainment, lack of usual source of care, and current smoking were associated with less IBHC, whereas residing in the South or West, having 1 or more chronic conditions, and drinking any alcohol were associated with higher IBHC (all P < .05). Factors associated with less IBHC also included being non-Hispanic Black or Hispanic, lacking private insurance, and being 11 or more years postdiagnosis among survivors aged 18 to 64; among survivors aged 65 or older, factors were being an older age, not married, and non-US born (all P < .05). CONCLUSION: IBHC among cancer survivors is common and increasing, with differences across sociodemographic and behavioral characteristics. As health care delivery continues adopting IBHC and other advanced telehealth techniques, disparities need to be addressed to ensure equitable access to care for all cancer survivors.

Barriers to learning a new technology to go online among older adults during the COVID-19 pandemic.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has highlighted the importance of using information and communication technology (ICT) to address daily and healthcare needs. The barriers for older adults in the United States to learn a new technology to go online during the pandemic remain to be studied. METHODS: Using data from the 2019-2020 National Health and Aging Trends Study (NHATS), a nationally representative survey of older Medicare beneficiaries aged 65 years and older in the United States, we used multivariable logistic regression models to identify sociodemographic and clinical factors associated with learning a new technology to go online during the COVID-19 pandemic. RESULTS: Our sample represented 23,547,688 older adults nationally, of which the majority (60.2%) increased ICT use during the COVID-19 pandemic. However, most older adults (71.8%) did not report learning a new technology to go online. Those who did not learn a new technology to go online had less of an increase in ICT use than those who learned either with help or by themselves (50.7% vs. 78.4% or 89.2% respectively, p < 0.01). The odds of learning a new technology decreased with increasing age (aOR [95%CI] = 0.96 [0.94-0.98]), being male (aOR [95%CI] = 0.56 [0.45-0.72]), having lower than high school educational attainment (aOR [95%CI] = 0.38 [0.29-0.50]), decreasing income levels (aORs ranged from 0.28 to 0.54), and self-reported fair or poor general health (aOR [95%CI] = 0.65 [0.47-0.90]). CONCLUSION: The identified sociodemographic and clinical factors could inform targeted intervention strategies to improve ICT use among older adults during the evolving COVID-19 pandemic and in the future.

Cardiovascular Disease and Severe Hypoxemia Are Associated With Higher Rates of Noninvasive Respiratory Support Failure in Coronavirus Disease 2019 Pneumonia.

Acute hypoxemic respiratory failure is the major complication of coronavirus disease 2019, yet optimal respiratory support strategies are uncertain. We aimed to describe outcomes with high-flow oxygen delivered through nasal cannula and noninvasive positive pressure ventilation in coronavirus disease 2019 acute hypoxemic respiratory failure and identify individual factors associated with noninvasive respiratory support failure. DESIGN: Retrospective cohort study to describe rates of high-flow oxygen delivered through nasal cannula and/or noninvasive positive pressure ventilation success (live discharge without endotracheal intubation). Fine-Gray subdistribution hazard models were used to identify patient characteristics associated with high-flow oxygen delivered through nasal cannula and/or noninvasive positive pressure ventilation failure (endotracheal intubation and/or in-hospital mortality). SETTING: One large academic health system, including five hospitals (one quaternary referral center, a tertiary hospital, and three community hospitals), in New York City. PATIENTS: All hospitalized adults 18-100 years old with coronavirus disease 2019 admitted between March 1, 2020, and April 28, 2020. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A total of 331 and 747 patients received high-flow oxygen delivered through nasal cannula and noninvasive positive pressure ventilation as the highest level of noninvasive respiratory support, respectively; 154 (46.5%) in the high-flow oxygen delivered through nasal cannula cohort and 167 (22.4%) in the noninvasive positive pressure ventilation cohort were successfully discharged without requiring endotracheal intubation. In adjusted models, significantly increased risk of high-flow oxygen delivered through nasal cannula and noninvasive positive pressure ventilation failure was seen among patients with cardiovascular disease (subdistribution hazard ratio, 1.82; 95% CI, 1.17-2.83 and subdistribution hazard ratio, 1.40; 95% CI, 1.06-1.84, respectively). Conversely, a higher peripheral blood oxygen saturation to Fio2 ratio at high-flow oxygen delivered through nasal cannula and noninvasive positive pressure ventilation initiation was associated with reduced risk of failure (subdistribution hazard ratio, 0.32; 95% CI, 0.19-0.54, and subdistribution hazard ratio 0.34; 95% CI, 0.21-0.55, respectively). CONCLUSIONS: A significant proportion of patients receiving noninvasive respiratory modalities for coronavirus disease 2019 acute hypoxemic respiratory failure achieved successful hospital discharge without requiring endotracheal intubation, with lower success rates among those with comorbid cardiovascular disease or more severe hypoxemia. The role of high-flow oxygen delivered through nasal cannula and noninvasive positive pressure ventilation in coronavirus disease 2019-related acute hypoxemic respiratory failure warrants further consideration.

Effects of New York's Executive Order on Face Mask Use on COVID-19 Infections and Mortality: A Modeling Study.

There is growing evidence on the effect of face mask use in controlling the spread of COVID-19. However, few studies have examined the effect of local face mask policies on the pandemic. In this study, we developed a dynamic compartmental model of COVID-19 transmission in New York City (NYC), which was the epicenter of the COVID-19 pandemic in the USA. We used data on daily and cumulative COVID-19 infections and deaths from the NYC Department of Health and Mental Hygiene to calibrate and validate our model. We then used the model to assess the effect of the executive order on face mask use on infections and deaths due to COVID-19 in NYC. Our results showed that the executive order on face mask use was estimated to avert 99,517 (95% CIs 72,723-126,312) COVID-19 infections and 7978 (5692-10,265) deaths in NYC. If the executive order was implemented 1 week earlier (on April 10), the averted infections and deaths would be 111,475 (81,593-141,356) and 9017 (6446-11,589), respectively. If the executive order was implemented 2 weeks earlier (on April 3 when the Centers for Disease Control and Prevention recommended face mask use), the averted infections and deaths would be 128,598 (94,373-162,824) and 10,515 (7540-13,489), respectively. Our study provides public health practitioners and policymakers with evidence on the importance of implementing face mask policies in local areas as early as possible to control the spread of COVID-19 and reduce mortality.

Evaluating the Impact of New York's Executive Order on Face Mask Use on COVID-19 Cases and Mortality: a Comparative Interrupted Times Series Study.

BACKGROUND: On April 17, 2020, the State of New York (NY) implemented an Executive Order that requires all people in NY to wear a face mask or covering in public settings where social distancing cannot be maintained. Although the Centers for Disease Control and Prevention recommended face mask use by the general public, there is a lack of evidence on the effect of face mask policies on the spread of COVID-19 at the state level. OBJECTIVE: To assess the impact of the Executive Order on face mask use on COVID-19 cases and mortality in NY. DESIGN: A comparative interrupted time series analysis was used to assess the impact of the Executive Order in NY with Massachusetts (MA) as a comparison state. PARTICIPANTS: We analyzed data on COVID-19 in NY and MA from March 25 to May 6, 2020. INTERVENTION: The Executive Order on face mask use in NY. MAIN MEASURES: Daily numbers of COVID-19 confirmed cases and deaths. KEY RESULTS: The average daily number of confirmed cases in NY decreased from 8549 to 5085 after the Executive Order took effect, with a trend change of 341 (95% CI, 187-496) cases per day. The average daily number of deaths decreased from 521 to 384 during the same two time periods, with a trend change of 52 (95% CI, 44-60) deaths per day. Compared to MA, the decreasing trend in NY was significantly greater for both daily numbers of confirmed cases (P = 0.003) and deaths (P < 0.001). CONCLUSIONS: The Executive Order on face mask use in NY led to a significant decrease in both daily numbers of COVID-19 confirmed cases and deaths. Findings from this study provide important evidence to support state-level policies that require face mask use by the general public.