The Relationship Between Public Interest and Surgical Demand During the COVID-19 Pandemic.

INTRODUCTION: Surgical databases are useful for examining outcomes and case volume to improve care, while public interest data has the potential to track the supply and demand of medical services in specific communities. However, the relationship between public interest data and case volume from surgical databases, specifically during disruptive instances like the coronavirus pandemic, is unknown. Therefore, the purpose of this study is to determine how public interest data is related to the case volume of coronavirus and other surgical procedures performed during the coronavirus pandemic. METHODS: This retrospective study included a review of appendectomy, total hip arthroplasty (THA), and total knee arthroplasty (TKA) cases from the National Surgery Quality Improvement Project and relative search volume (RSV) of hip replacement, knee replacement, appendicitis, and coronavirus from Google Trends from 2019 to 2020. T-tests were used to compare surgical caseload and RSV data before and after the COVID-19 surge in March 2020, while linear models were used to determine relationships between confirmed procedures and relative search volumes. RESULTS: The RSV for knee replacement (p < 0.001, Cohen's D [d] = -5.01, 95% confidence interval [CI]: -7.64 to -2.34) and hip replacement (p < 0.001, d = -7.22, 95% CI: -10.85 to -3.57) had a large dip during the coronavirus pandemic, while the RSV for appendicitis had a smaller dip (p = 0.003, d = -2.37, 95% CI: -3.93 to -0.74). Linear models showed very strong linear relationships between surgical RSV and surgical volume for TKA (R2 = 0.931) and THA (R2 = 0.940). CONCLUSIONS: There was a significant reduction in the number of elective surgeries, which correlated to drops in public interest during COVID-19. The strong correlations between RSV, surgical volume, and coronavirus cases indicate that public interest can be used to track and predict surgical case volume. Our findings allow for greater insight into the use of public interest data to gauge surgical demand.

Efficacy of Telehealth in Preoperative Pediatric Surgery Consultations.

INTRODUCTION: The Coronavirus disease 2019 pandemic created a sudden need to transition outpatient pediatric surgical care to a telehealth platform, allotting little time to study the efficacy of these changes. In particular, the accuracy of telehealth preoperative assessment remains unclear. Therefore, we sought to study the prevalence of errors in diagnosis and procedure cancellations between preoperative in-person evaluations and telehealth evaluations. METHODS: We conducted a single institution, retrospective chart review of perioperative medical records at a tertiary children's hospital over a 2-year period. Data included patient demographics (age, sex, county, primary language, and insurance), preoperative diagnosis, postoperative diagnosis, and surgical cancellation rates. Data were analyzed using Fisher's exact and chi-square tests. Alpha was set at 0.05. RESULTS: A total of 523 patients were analyzed, with 445 in-person visits and 78 telehealth visits. There were no demographic differences between the in-person and telehealth cohorts. The frequency of changes from the preoperative to the postoperative diagnosis was not significantly different between in-person preoperative visits and telehealth preoperative visits (0.99% versus 1.41%, P = 0.557). The frequency of case cancellations between the two consultation modalities was not significantly different (9.44% versus 8.97%, P = 0.899). CONCLUSIONS: Our results demonstrate that preoperative pediatric surgical consultations held via telehealth were neither associated with a decrease in the accuracy of preoperative diagnosis, nor an increased rate of surgery cancellations, compared to those held in-person. Further study is needed to better determine the advantages, disadvantages, and limitations of telehealth in the delivery of pediatric surgical care.

Identifying Risk Factors for Complication and Readmission with Same-Day Discharge Arthroplasty.

BACKGROUND: The COVID-19 pandemic caused a surge of same-day discharge (SDD) for total joint arthroplasty. However, SDD may not be beneficial for all patients. Therefore, continued investigation into the safety of SDD is necessary as well as risk stratification for improved patient outcomes. METHODS: This retrospective cohort study examined 31,851 elective SDD hip and knee arthroplasties from 2016 to 2020 in a large national database. Logistic regression models were used to identify patient variables and preoperative comorbidities that contribute to postoperative complication or readmission with SDD. Adjusted odds ratios (AOR) and 95% confidence intervals (CI) were calculated. RESULTS: SDD increased from 1.4% in 2016 to 14.6% in 2020. SDD is associated with lower odds of readmission (AOR: 0.994, CI: 0.992-0.996) and postoperative complications (AOR: 0.998, CI: 0.997-1.000). Patients who have preoperative dyspnea (AOR: 1.03, CI: 1.02-1.04, P < .001), chronic obstructive pulmonary disease (AOR: 1.02, CI: 1.01-1.03, P = .002), and hypoalbuminemia (AOR: 1.02, CI: 1.00-1.03, P < .001), had higher odds of postoperative complications. Patients who had preoperative dyspnea (AOR: 1.02, CI: 1.01-1.03), hypertension (AOR: 1.01, CI: 1.01-1.03, P = .003), chronic corticosteroid use (AOR: 1.02, CI: 1.01-1.03, P < .001), bleeding disorder (AOR: 1.02; CI: 1.01-1.03, P < .001), and hypoalbuminemia (AOR: 1.01, CI: 1.00-1.02, P = .038), had higher odds of readmission. CONCLUSION: SDD is safe with certain comorbidities. Preoperative screening for cardiopulmonary comorbidities (eg, dyspnea, hypertension, and chronic obstructive pulmonary disease), chronic corticosteroid use, bleeding disorder, and hypoalbuminemia may improve SDD outcomes.