The Cost of the "July Effect" in Microsurgery

"July Effect" in Spinal Fusions: A Coarsened Exact-Matched Analysis

BACKGROUND

Few neurosurgical studies examine the July Effect within elective spinal procedures, and none uses an exact-matched protocol to rigorously account for confounders.

OBJECTIVE

To evaluate the July Effect in single-level spinal fusions, after coarsened exact matching of the patient cohort on key patient characteristics (including race and comorbid status) known to independently affect neurosurgical outcomes.

METHODS

Two thousand three hundred thirty-eight adult patients who underwent single-level, posterior-only lumbar fusion at a single, multicenter university hospital system were retrospectively enrolled. Primary outcomes included readmissions, emergency department visits, reoperation, surgical complications, and mortality within 30 days of surgery. Logistic regression was used to analyze month as an ordinal variable. Subsequently, outcomes were compared between patients with surgery at the beginning vs end of the academic year (ie, July vs April-June), before and after coarsened exact matching on key characteristics. After exact matching, 99 exactly matched pairs of patients (total n = 198) were included for analysis.

RESULTS

Among all patients, operative month was not associated with adverse postoperative events within 30 days of the index operation. Furthermore, patients with surgeries in July had no significant difference in adverse outcomes. Similarly, between exact-matched cohorts, patients in July were observed to have noninferior adverse postoperative events.

CONCLUSION

There was no evidence suggestive of a July Effect after single-level, posterior approach spinal fusions in our cohort. These findings align with the previous literature to imply that teaching hospitals provide adequate patient care throughout the academic year, regardless of how long individual resident physician assistants have been in their particular role.

Socioeconomic predictors of cost and length of stay for erythroderma: a cross-sectional analysis of the national inpatient sample

Erythroderma is an uncommon but serious dermatologic disorder that often requires hospitalization for diagnosis and treatment. However, little is known about predictors influencing cost and patient outcomes. The present study sought to characterize the sociodemographic factors that predict patient outcomes and hospital cost. Data were obtained from the 2016-2018 National Inpatient Sample (NIS) provided by the Healthcare Cost and Utilization Project from the Agency for Healthcare Research and Quality for patients of any age with a primary or secondary diagnosis of exfoliative dermatitis. Regression analyses were performed to find predictors for hospital costs and patient outcomes, represented by the length of stay (LOS). Univariate analysis of LOS revealed urban teaching hospitals were associated with prolonged LOS (p = 0.023). Univariate analysis of hospital cost yielded the following factors associated with increased hospital cost: Black and Asian patients (p = .045), urban teaching hospitals (p = .035), and northeast or south geographic location (p = .004). Multivariable regression analysis revealed prolonged LOS was associated with female sex (p = .043) and large bed capacity (p = .044) while shorter LOS was associated with increased age (p = .025); lower hospital costs were associated with private-owned hospitals -  (p = .025). In patients diagnosed with erythroderma, there appear to be racial, economic, and geographic disparities for patients that lead to greater hospital costs and longer LOS.