| Literature DB >> 35323353 |
Antoine Eskander1,2,3, Qing Li1, Jiayue Yu4, Julie Hallet1,2,5, Natalie Coburn1,2,5, Anna Dare1,2,5, Kelvin K W Chan1,2,6, Simron Singh1,2,6, Ambica Parmar1,6, Craig C Earle1,2,6, Lauren Lapointe-Shaw1,2,7, Monika K Krzyzanowska1,2,7, Timothy P Hanna1,8, Antonio Finelli1,2,5, Alexander V Louie9, Nicole Look-Hong1,2,5, Jonathan C Irish3, Ian Witterick3, Alyson Mahar10, David R Urbach11, Danny Enepekides3, Rinku Sutradhar1,2,4.
Abstract
Emergency department (ED) use is a concern for surgery patients, physicians and health administrators particularly during a pandemic. The objective of this study was to assess the impact of the pandemic on ED use following cancer-directed surgeries. This is a retrospective cohort study of patients undergoing cancer-directed surgeries comparing ED use from 7 January 2018 to 14 March 2020 (pre-pandemic) and 15 March 2020 to 27 June 2020 (pandemic) in Ontario, Canada. Logistic regression models were used to (1) determine the association between pandemic vs. pre-pandemic periods and the odds of an ED visit within 30 days after discharge from hospital for surgery and (2) to assess the odds of an ED visit being of high acuity (level 1 and 2 as per the Canadian Triage and Acuity Scale). Of our cohort of 499,008 cancer-directed surgeries, 468,879 occurred during the pre-pandemic period and 30,129 occurred during the pandemic period. Even though there was a substantial decrease in the general population ED rates, after covariate adjustment, there was no significant decrease in ED use among surgical patients (OR 1.002, 95% CI 0.957-1.048). However, the adjusted odds of an ED visit being of high acuity was 23% higher among surgeries occurring during the pandemic (OR 1.23, 95% CI 1.14-1.33). Although ED visits in the general population decreased substantially during the pandemic, the rate of ED visits did not decrease among those receiving cancer-directed surgery. Moreover, those presenting in the ED post-operatively during the pandemic had significantly higher levels of acuity.Entities:
Keywords: COVID-19; cancer; emergency department; health services research; quality of care; surgery
Mesh:
Year: 2022 PMID: 35323353 PMCID: PMC8947053 DOI: 10.3390/curroncol29030153
Source DB: PubMed Journal: Curr Oncol ISSN: 1198-0052 Impact factor: 3.677
Distributions of sociodemographic and hospital characteristics for surgeries performed during the pre- and COVID-19 periods.
| Variable | Pre-COVID-19 * | COVID-19 | Standardized Difference a |
|---|---|---|---|
| Age (Mean ± SD) | 56.2 ± 16.9 | 57.9 ± 17.2 |
|
| Female | 40,341 (61.8%) | 17,488 (58.0%) | 0.08 |
| Rural Score (Rio 2008)—0–9 | 42,447 (65.8%) | 19,203 (64.6%) | 0.03 |
| 10–30 | 11,996 (18.6%) | 5689 (19.2%) | 0.01 |
| 31–50 | 7176 (11.1%) | 3435 (11.6%) | 0.01 |
| 51–70 | 1962 (3.0%) | 929 (3.1%) | 0 |
| 71+ (more rural) | 902 (1.4%) | 456 (1.5%) | 0.01 |
| Immigrant | 9583 (14.7%) | 3813 (12.7%) | 0.06 |
| Elixhauser Grouping b—0 | 9380 (14.4%) | 4262 (14.1%) | 0.01 |
| 1 | 5664 (8.7%) | 3089 (10.3%) | 0.05 |
| 2 | 3426 (5.2%) | 1955 (6.5%) | 0.05 |
| 3+ | 4572 (7.0%) | 2689 (8.9%) | 0.07 |
| No Hospitalization | 42,267 (64.7%) | 18,134 (60.2%) | 0.09 |
| Material Deprivation Quintile | 14,252 (22.0%) | 6602 (22.1%) | 0 |
| 2 | 13,916 (21.5%) | 6108 (20.5%) | 0.03 |
| 3 | 12,377 (19.1%) | 5763 (19.3%) | 0 |
| 4 | 12,018 (18.6%) | 5626 (18.9%) | 0.01 |
| 5—Most Deprived | 12,146 (18.8%) | 5734 (19.2%) | 0.01 |
| Inpatient Surgery c | 28,080 (43.0%) | 17,779 (59.0%) |
|
| Non-Teaching Hospital Status | 47,657 (73.0%) | 20,384 (67.7%) |
|
| Urgent d | 9451 (14.5%) | 8410 (27.9%) |
|
* same period was used (2019, 10 March 2019–22 June 2019, pre-COVID-19; 2020, 15 March 2020 to 27 June 2020, COVID-19). a Standardized difference of > 0.1 (bold) was used to indicate a clinically and statistically significant imbalance in the distributions of the characteristics. b The Elixhauser comorbidity grouping was calculated using a 5 year look back window in administrative data for any hospitalization. This is a well validated approach to assess comorbidities using administrative data. Although “no hospitalization” is grouped with 0 in many prior studies, these categories were separated here to provide additional information on comorbidity variation for the reader. c This variable is a measure of procedures that were performed on an inpatient basis as opposed to same day surgery (same day discharge or discharge from a short-stay unit after 1 night overnight stay). d Patients treated urgently either arrived at hospital via ambulance or were admitted through the emergency department.
Figure 1Funnel plot illustrating variation in ED rates following cancer-directed surgeries in the pre- and peri-periods, across LHINs. Legend: Each LHIN is represented by a dot in the funnel plot, where the x-coordinate provides the number of cancer-directed surgeries occurring in the LHIN and the y-coordinate provides the corresponding percentage that ends up in ED within 30 days following discharge. The horizontal line illustrates the average ED rate, overall, and it is surrounded by the corresponding 95% confidence limits. These limits represent the expected bound around the average proportion for varying population sizes [14].
Figure 2Histogram illustrating ED rates within our cohort of cancer-directed surgeries compared with ED rates in the general provincial population during the pre- and peri-periods, across LHINs. Legend: The y-axis on the left-hand side and corresponding bars reflects the ED rates in our surgical cohort, while the y-axis on the right-hand side and corresponding overlaid points provide the ED rates in the entire province.
Figure 3Forest plot illustrating the associations between characteristics and the odds of an ED visit within 30 days after discharge from cancer-directed surgery (among entire cohort of cancer-directed surgeries).
Figure 4Forest plot illustrating the associations between characteristics and the odds of the ED visit being of high acuity (among cohort of cancer-directed surgeries that resulted in an ED visit within 30 days post discharge).