Objective
Otolaryngology is considered high risk for Coronavirus Disease 2019 (COVID-19) exposure and spread. This has led to a transition to telemedicine and directly impacts patient volume, evaluation and management practices. The objective of this study is to determine the impact of COVID-19 on patient characteristics in relation to outpatient attendance, ancillary testing, medical therapy, and surgical decision making.
Methods
A retrospective case series at an academic medical center was performed. Outpatient appointments from October 2019 (pre-COVID) and March 16–April 10, 2020 (COVID) were analyzed. Prevalence rates and odds ratios were used to compare demographics, visit characteristics, ancillary tests, medication prescribing, and surgical decisions between telemedicine and in-person visits, before and during COVID.
Results
There was a decrease in scheduled visits during the COVID timeframe, for both in-person and telemedicine visits, with a comparable proportion of no-shows. There was a higher overall percentage of Hispanic/Latino patients who received care during the COVID timeframe (OR = 1.43; 95% CI = 1.07–1.90) in both groups, although primary language was not significantly associated with attendance. There were fewer ancillary tests ordered (OR = 0.54) and more medications prescribed (OR = 1.59) during COVID telemedicine visits compared with pre-COVID in-person visits.
Conclusion
COVID-19 has rapidly changed the use of telemedicine. Telemedicine can be used as a tool to reach patients with severe disease burden. Continued healthcare reform, expanded access to affordable care, and efficient use of resources is essential both during the current COVID-19 pandemic and beyond.
Level of evidence
IV.
Objectives/Hypothesis
Follow‐up care in head and neck cancers (HNC) is critical in managing patient health. However, social determinants of health (SDOH) can create difficulties in maintaining follow‐up care. The study goal is to explore how SDOH impacts maintenance of HNC follow‐up care appointments.
Methods
A systematic retrospective chart review of 877 HNC patients diagnosed in the past 10 years a safety‐net tertiary care hospital with systems to help reduce care disparities. Cohort groups were identified and compared against protocols for follow‐up. Data were analyzed using analysis of variance, chi‐square tests, Fisher's exact tests, two‐sample t‐tests, and simple linear regression.
Results
The average length of follow‐up time in months and average total number of follow‐ups over 5 years were 32.96 (34.60) and 9.24 (7.87), respectively. There was no significant difference in follow‐up care between United States (US) versus non‐US born and English versus non‐English speaking patients. Race/ethnicity, county median household income, insurance status, and county educational attainment were not associated with differences in follow‐up. However, living a greater distance from the hospital was associated with lower follow‐up length and less frequency in follow‐up (P < .0001).
Conclusion
While income, primary language, country of birth, race/ethnicity, insurance status, and markers of educational attainment do not appear to impact HNC follow‐up at our safety‐net, tertiary care institution, and distance from hospital remains an important contributor to disparities in care. This study shows that many barriers to care can be addressed in a model that addresses SDOH, but there are barriers that still require additional systems and resources. Laryngoscope, 132:1022–1028, 2022
Background: This study compares select social determinants of health (SDOH) with treatment modality selection and treatment completion in head and neck cancer (HNC) patients, to better understand disparities in health outcomes.Methods: A retrospective cohort study of HNC (n = 1428) patients was conducted. Demographic and disease-specific variables were recorded, including treatment modality selection and completion. Data were analyzed using twosample t tests, chi-square, and Fisher's exact tests. Results: Primary language was significantly associated with treatment choice, where non-English speakers were less likely to choose treatment as recommended by the Tumor Board. Lower mean distance from the hospital (37.38 [48.31] vs. 16.92 [19.10], p < 0.0001) and a county-based higher mean percentage of bachelor degree or higher education (42.16 [8.82] vs. 44.95 [6.19], p < 0.0003) were associated with treatment selection.
Conclusion:Language, distance from the hospital, and education affected treatment selection in this study and may be useful in understanding how to counsel patients on treatment selection for HNC.
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