Rural-Urban Differences in Telehealth Utilization and Delayed Care During the COVID-19 Pandemic.

Purpose: Use of telehealth among older adults increased during the COVID-19 pandemic, but patterns and correlates of its use are poorly understood. The present study uses a representative sample of Medicare beneficiaries to examine rural-urban differences in telehealth utilization during the pandemic and to investigate the associations between the number and type of telehealth services utilized and delayed in-person care. Methods: The study sample (N = 3,257) came from Round 10 of the National Health and Aging Trends Study. Telehealth was measured in three modalities: phone calls, e-mails or portal messages, and video calls. Multivariable Poisson and logistic regressions were performed to test the study aims, adjusting for sociodemographic and health controls. Analytic weights and survey design factors were incorporated to generate population estimates. Findings: Results show that rurality is associated with lower rates (incidence rate ratio = 0.78, p < 0.001) and lower odds of telehealth use compared with urban older adults. Specifically, rural older adults were less likely to use e-mail or portal messages (adjusted odds ratio [AOR] = 0.43, p < 0.001) and video calls (AOR = 0.57, p = 0.004) to communicate with their usual health care provider. Use of any 2 forms of telehealth was associated with greatest increased odds of delayed in-person care among rural and urban populations during the pandemic. Conclusions: Future efforts are needed to expand the utilization of e-mail/portal messages and video call telehealth services among rural older adults. Telehealth may be an important mechanism to support care continuity during and beyond the COVID-19 pandemic for both urban and rural older adults when in-person modalities of care are not feasible.

Delayed or Forgone Care and Virtual Care in a Public Health Crisis Using Nationally Representative Population Data.

Aim: To investigate factors influencing delayed or forgone care due to the coronavirus pandemic and examine patterns in overall virtual care use and virtual care related to the coronavirus pandemic. Methods: The cross-sectional study used the 2020 National Center for Health Statistics, National Health Interview Survey. Individuals (17,586) who responded to delayed or forgone care questions were included. A generalized linear model estimated prevalence ratios (PRs) for delayed care, forgone care, and virtual care. Results: Approximately 26.5% of participants reported either having delayed (23.6%) or forgone care (15.7%). Females showed 1.29 (95% confidence interval [CI] 1.20-1.38; p ≤ 0.000) and 1.29 (95% CI 1.17-1.48; p ≤ 0.000) times greater risk of delayed and forgone care than males, respectively. Being insured and having chronic conditions were associated with more delayed and forgone care. About 32.5% of adults reported 1 year of virtual care, and of these, 83.6% were related to the coronavirus pandemic. Patterns of virtual care use of 1 year and the one related to the coronavirus pandemic varied. In the coronavirus pandemic-related virtual care, adults of 85 years old or above had a lower likelihood (PR 0.87, 95% CI 0.77-1.00; p = 0.043) of receiving virtual care. Low education attainment and nonmetro areas showed less virtual care usage. Conclusions: The coronavirus pandemic greatly affected health care. While virtual care significantly increased, historically underserved populations, such as older adults, rural residents, and those with low education attainment, experienced disparities in virtual care use. The findings provide important implications for sustained health care in a rapidly changing public health landscape.

Estimating the health impact of delayed elective care during the COVID -19 pandemic in the Netherlands.

BACKGROUND: The COVID-19 pandemic had a major impact on the continuity of healthcare provision. Appointments, treatments and surgeries for non-COVID patients were often delayed, with associated health losses for patients involved. OBJECTIVE: To develop a method to quantify the health impact of delayed elective care for non-COVID patients. METHODS: A model was developed that estimated the backlog of surgical procedures in 2020 and 2021 using hospital registry data. Quality-adjusted life years (QALYs) were obtained from the literature to estimate the non-generated QALYs related to the backlog. In sensitivity analyses QALY values were varied by type of patient prioritization. Scenario analyses for future increased surgical capacity were performed. RESULTS: In 2020 and 2021 an estimated total of 305,374 elective surgeries were delayed. These delays corresponded with 319,483 non-generated QALYs. In sensitivity analyses where QALYs varied by type of patient prioritization, non-generated QALYs amounted to 150,973 and 488,195 QALYs respectively. In scenario analyses for future increased surgical capacity in 2022-2026, the non-generated QALYs decreased to 311,220 (2% future capacity increase per year) and 300,710 (5% future capacity increase per year). Large differences exist in the extent to which different treatments contributed to the total health losses. CONCLUSIONS: The method sheds light on the indirect harm related to the COVID-19 pandemic. The results can be used for policy evaluations of COVID-19 responses, in preparations for future waves or other pandemics and in prioritizing the allocation of resources for capacity increases.

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.

Analysis of Presentation and Outcomes in Acute Limb Ischemia Patients During COVID-19 State of Emergency.

BACKGROUND: During the COVID-19 pandemic, cardiovascular patients were found to be presenting to hospitals with myocardial infarctions and cerebrovascular accidents at progressed disease states. We noticed a parallel in acute limb ischemia (ALI) patients presenting during Massachusetts' COVID-19 State of Emergency declaration. We question whether patients developed a hesitancy to seek medical attention at hospitals due to fear of COVID-19. Our objective was to compare acuity of ALI, interventions, and limb survival in patients presenting before, during, and after a state of emergency. METHODS: Four timeframes were set to compare patients presenting peri-2020 COVID-19 State of Emergency and patients presenting during a pre-pandemic era at a tertiary, academic institution. A reference period from 2019, Pre-State of Emergency period, State of Emergency period, and Post-State of Emergency period were designated. Patient characteristics, interventions, and outcomes data were collected. Unpaired t-test, ANOVA, and Chi-square statistical analyses were used. RESULTS: A total of 95 patients presenting with ALI were identified. Compared to Reference group, state of emergency group had more patients presenting with Rutherford Class III, 12.9% vs 35%, and less patient presenting with Class I, 45.1% vs 0%, P = .02. State of emergency group had more delayed presentations with ≥6 hours after symptom onset, 45% vs 85%, P = .01. Above-knee amputations were performed in 20% of patients during state of emergency and 31.6% for Post-State of Emergency, vs 6.5% in the Reference group; P = .03. There was no difference in intensive care unit admission, length of stay, or mortality between patients from different groups. CONCLUSION: During a state of emergency, ALI patients were noted to present later from symptom onset, have greater disease severity, and more likely to undergo amputations. We suspect delay in presentation and limb lost to be attributed to reluctance to seek immediate medical attention.

Risk from delayed or missed care and non-COVID-19 outcomes for older patients with chronic conditions during the pandemic.

BACKGROUND: During the COVID-19 pandemic, patients with chronic illnesses avoided regular medical care, raising concerns about long-term complications. Our objective was to identify a population of older patients with chronic conditions who may be at risk from delayed or missed care (DMC) and follow their non-COVID outcomes during the pandemic. METHODS: We used a retrospective matched cohort design using Medicare claims and electronic health records at a large health system with community and academic clinics. Participants included 14,406 patients over 65 years old with two or more chronic conditions who had 1 year of baseline data and up to 9 months of postpandemic follow-up from March 1, 2019 to December 31, 2020; and 14,406 matched comparison patients from 1 year prior. Risk from DMC was defined by 13 indicators, including chronic conditions, frailty, disability affecting the use of telehealth, recent unplanned acute care, prior missed outpatient care, and social determinants of health. Outcomes included mortality, inpatient events, Medicare payments, and primary care and specialty care visits (in-person and telehealth). RESULTS: A total of 25% of patients had four or more indicators for risk from DMC. Per 1000 patients annually, those with four or more indicators had increased mortality of 19 patients (95% confidence interval, 4 to 32) and decreased utilization, including unplanned events (-496 events, -611 to -381) and primary care visits (-1578 visits, -1793 to -1401). CONCLUSIONS: Older patients who had four or more indicators for risk from DMC had higher mortality and steep declines in inpatient and outpatient utilization during the pandemic.

Impact of COVID-19 and Socioeconomic Status on Delayed Care and Unemployment.

Background: Coronavirus disease 2019 (COVID-19) may disproportionately impact minorities and individuals of low socioeconomic status (SES). This study examined unemployment and delayed care due to COVID-19. Methods: Using the Current Population Survey (CPS) from May through October 2020, two questions, namely unable to work and delayed care due to COVID-19, were examined. Unweighted summary statistics and logistic regression were used to analyze the data. Results: A total of 367,950 adult participants 18-64 years old at survey were included. Mean (standard deviation) age was 41 (14) years old, and 36% of the participants had family income ≤$25,000. About 12% reported unable to work and 3% had delayed care. Racial minorities had statistically significant higher likelihood of being unable to work. Individuals with the lowest income, ≤$25,000, had the most serious impact from COVID-19 (odds ratio=1.92, p<0.01). Conclusion: Individuals of racial minority groups and lower SES experienced the worst economic outcomes of employment losses.

Frequency and factors associated with foregone and delayed medical care due to COVID-19 among nonelderly US adults from August to December 2020.

OBJECTIVES: To estimate the frequency and factors associated with foregone and delayed medical care attributed to the COVID-19 pandemic among nonelderly adults from August to December 2020 in the United States. METHODS: We used three survey waves from the Urban Institute's Household Pulse Survey (HPS) collected between August 19-31, October 14-26 and December 9-21. The final sample included 155,825 nonelderly (18-64) respondents representing 135,835,598 million individuals in the United States. We used two multivariable logistic regressions to estimate the association between respondents' characteristics and foregone and delayed care. RESULTS: The frequency of foregone and delayed medical care was 26.9% and 35.9%, respectively. Around 60% of respondents reported difficulties in paying for usual household expenses in the last 7 days. More than half reported several days of mental health issues. The regression results indicated that foregone or delayed care were significantly associated with difficulties in paying usual household expenses (p < 0.001), worse self-reported health status (p < 0.001), increased mental health problems (p < 0.001), Veterans Affairs (p <0.001) or Medicaid (p = 0.003) coverage compared to private healthcare coverage, and older age groups. Individuals who participated in the latter two waves of the survey (October, December) were less likely to report foregone and delayed care compared to those who participated in Wave 1 (August). CONCLUSION: Overall, the frequency of foregone and delayed medical care remained high from August to December 2020 among nonelderly US adults. Our findings highlight that pandemic-induced access barriers are major drivers of reduced healthcare provision during the second half of the pandemic and highlight the need for policies to support patients in seeking timely care.

The Association of Delayed Care With Depression Among US Middle-Aged and Older Adults During the COVID-19 Pandemic: Cross-sectional Analysis.

BACKGROUND: During the COVID-19 pandemic, the depression level among US adults has significantly increased. Age disparity in depression during the pandemic has been reported in recent studies. Delay or avoidance of medical care is one of the collateral damages associated with the COVID-19 pandemic, and it can lead to increased morbidity and mortality. OBJECTIVE: This study aimed to assess the prevalence of depression and delayed care among US middle-aged adults and older adults during the pandemic, as well as investigate the association of delayed care with depression among those 2 age groups. METHODS: This cross-sectional study used data from the 2020 Health and Retirement Study (HRS) COVID-19 Project (Early, Version 1.0). Univariate analyses, bivariate analyses, and binary logistic regression were applied. US adults older than 46 years were included. Depression was measured by the Composite International Diagnostic Interview-Short Form (CIDI-SF). Delayed care was measured by the following 4 items: delayed surgery, delayed seeing a doctor, delayed dental care, and other delayed care. RESULTS: A total of 3246 participants were identified. More than half of the participants were older than 65 years (n=1890, 58.2%), and 274 (8.8%) participants had depression during the pandemic. Delayed dental care was positively associated with depression among both middle-aged adults (OR 2.05, 95% CI 1.04-4.03; P=.04) and older adults (OR 3.08, 95% CI 1.07-8.87; P=.04). Delayed surgery was positively associated with depression among older adults (OR 3.69, 95% CI 1.06-12.90; P=.04). Self-reported pain was positively related to depression among both age groups. Middle-aged adults who reported higher education levels (some college or above) or worse self-reported health had a higher likelihood of having depression. While perceived more loneliness was positively associated with depression among older adults, financial difficulty was positively associated with depression among middle-aged adults. CONCLUSIONS: This study found that depression was prevalent among middle-aged and older adults during the pandemic. The study highlighted the collateral damage of the COVID-19 pandemic by identifying the association of delayed surgery and dental care with depression during the pandemic. Although surgery and dental care cannot be delivered by telehealth, telehealth services can still be provided to address patients' concerns on delayed surgery and dental care. Moreover, the implementation of telemental health services is needed to address mental health symptoms among US middle-aged and older adults during the pandemic. Future research that uses more comprehensive measurements for delayed care is needed to decipher the path through which delayed care is associated with depression.

Identifying Patients at Risk of Delayed Breast Imaging Due to the COVID-19 Pandemic.

OBJECTIVE: Epidemiological models predict worse cancer outcomes due to COVID-19 pandemic-related delays in cancer surveillance and treatment. This study evaluated patient demographic factors associated with delayed breast imaging or procedure appointments due to COVID-19. METHODS: Patients attending a breast imaging or procedure appointment at the Pennsylvania Hospital Breast Center from December 28, 2020 to January 31, 2021 were asked to complete a voluntary and anonymous survey on the impact of COVID-19. Chi-squared and two-sample t-tests were used to analyze correlations between having a delayed appointment and various demographic variables. RESULTS: Five hundred seventy patients completed the survey. Participants were more likely to have delayed a breast imaging or procedure appointment if they were younger (53.9 versus 57.4 years old, p=0.014), had more total household residents (2.7 versus 2.2, p=0.019) or children (0.8 versus 0.4, p=0.016), personally had COVID-19 (p=0.04), or personally had to quarantine (p<0.01). Race, ethnicity, education, income level, and marital status were not found to statistically significantly correlate with having a delayed appointment. CONCLUSION: This study found that younger age, a greater number of residents and children in the household, and having a personal history of COVID-19 infection or quarantining were factors significantly correlated with delaying a breast imaging or procedure appointment. As radiology practices prepare to mitigate the impact of COVID-19 on screening practices and cancer outcomes, these findings may help imaging centers refine patient outreach efforts and policy accommodations to protect the most vulnerable populations.

Delayed emergency healthcare seeking behaviour by Dutch emergency department visitors during the first COVID-19 wave: a mixed methods retrospective observational study.

BACKGROUND: Emergency department (ED) visits due to non-coronavirus disease 2019 (COVID-19) conditions have drastically decreased since the outbreak of the COVID-19 pandemic. This study aimed to identify the magnitude, characteristics and underlying motivations of ED visitors with delayed healthcare seeking behaviour during the first wave of the pandemic. METHODS: Between March 9 and July 92,020, adults visiting the ED of an academic hospital in the East of the Netherlands received an online questionnaire to collect self-reported data on delay in seeking emergency care and subsequent motivations for this delay. Telephone interviews were held with a subsample of respondents to better understand the motivations for delay as described in the questionnaire. Quantitative data were analysed using descriptive statistics. Qualitative data were thematically analysed. RESULTS: One thousand three hundred thirty-eight questionnaires were returned (34.0% response). One in five respondents reported a delay in seeking emergency care. Almost half of these respondents (n = 126; 45.4%) reported that the pandemic influenced the delay. Respondents reporting delay were mainly older adults (mean 61.6; ±13.1 years), referred to the ED by the general practitioner (GP; 35.1%) or a medical specialist (34.7%), visiting the ED with cardiac problems (39.7%). The estimated median time of delay in receiving ED care was 3 days (inter quartile range  8 days). Respectively 46 (16.5%) and 26 (9.4%) respondents reported that their complaints would be either less severe or preventable if they had sought for emergency care earlier. Delayed care seeking behaviour was frequently motivated by: fear of contamination, not wanting to burden professionals, perceiving own complaints less urgent relative to COVID-19 patients, limited access to services, and by stay home instructions from referring professionals. CONCLUSIONS: A relatively large proportion of ED visitors reported delay in seeking emergency care during the first wave. Delay was often driven by misperceptions of the accessibility of services and the legitimacy for seeking emergency care. Public messaging and close collaboration between the ED and referring professionals could help reduce delayed care for acute needs during future COVID-19 infection waves.

The Impact of the COVID-19 Pandemic on Breast Imaging.

"Starting in Wuhan, China, followed quickly in the United States in January 2020, an outbreak of a novel coronavirus, or COVID-19, escalated to a global pandemic by March. Significant disruptions occurred to breast imaging, including deferred screening mammography, triaging diagnostic breast imaging, and changes in breast cancer care algorithms. This article summarizes the effect of the global pandemic-and efforts to curtail its spread-on both breast cancer care and on breast imaging practices including effects on patients, clinical workflow, education, and research."