Correlation of payor status and pediatric transfer for acute appendicitis

Associations between Hospital Setting and Outcomes after Pediatric Appendectomy

Prior studies of associations between hospital location and outcomes for pediatric appendectomy have not adjusted for significant differences in patient and treatment patterns between settings. This was a cross-sectional analysis of pediatric appendectomies in the 2016 Kids' Inpatient Database (KID). Weighted multiple linear and logistic regression models compared hospital location (urban or rural) and academic status against total admission cost (TAC), length of stay (LOS), and postoperative complications. Patients were stratified by laparoscopic (LA) or open (OA) appendectomy. Among 54,836 patients, 39,454 (73%) were performed at an urban academic center, 11,642 (21%) were performed at an urban non-academic center, and 3740 (7%) were performed at a rural center. LA was utilized for 49,011 (89%) of all 54,386 patients: 36,049 (91%) of 39,454 patients at urban academic hospitals, 10,191 (87%) of 11,642 patients at urban non-academic centers, and 2771 (74%) of 3740 patients at rural centers (p < 0.001). On adjusted analysis, urban academic centers were associated with an 18% decreased TAC (95% CI -0.193--0.165; p < 0.001) despite an 11% increased LOS (95% CI 0.087-0.134; p < 0.001) compared to rural centers. Urban academic centers were associated with a decreased odds of complication among patients who underwent LA (OR 0.787, 95% CI 0.650-0.952) but not after OA. After adjusting for relevant patient and disease-related factors, urban academic centers were associated with lower costs despite longer lengths of stay compared to rural centers. Urban academic centers utilized LA more frequently and were associated with decreased odds of postoperative complications after LA.

False Positive Rate Among Pediatric Appendicitis Patients Transferred to a Tertiary Children's Hospital

BACKGROUND

Many patients with suspected appendicitis are initially evaluated at outlying hospitals and then transferred to a tertiary care pediatric hospital for surgical management. We sought to evaluate whether diagnosis prior to transfer provides a reliable basis for direct admission to a pediatric surgery service.

METHODS

Patients transferred during calendar year 2018 with the principal diagnosis of acute appendicitis were compared based on the service accepting the patient: Emergency Department (ED) or Pediatric Surgery (PS). Data were evaluated using Student's t-tests.

RESULTS

Overall patient characteristics were consistent among ED and PS transfers. The number of patients accepted directly to PS underwent significantly more computed tomography (80.2% vs 54.1%, P = .0002). Despite diagnostic "confirmation" with cross-sectional imaging, 14.7% of patients admitted directly to PS were found to be false positives.

CONCLUSION

A significant proportion of patients referred to pediatric hospitals for appendicitis do not require admission or operation. A protocol which encourages cross-sectional imaging before PS evaluation may subject children to unnecessary radiation and still result in non-surgical admissions. Routine ED transfer allows PS evaluation, targeted imaging, and discharge for non-surgical patients. This approach decreases costs for the families whose children received a false positive diagnosis at a referring facility, while preserving inpatient bed availability.

An investigation of social determinants of health and outcomes in pediatric nonaccidental trauma

OBJECTIVES

Nonaccidental trauma (NAT) is a leading cause of pediatric mortality and disability. We examined our institution's experience with NAT to determine if socioeconomic status is correlated with patient outcomes.

METHODS

NAT cases were reviewed retrospectively. Socioeconomic determinants included insurance status and race; outcomes included mortality, discharge disability and disposition. Correlations were identified using t test, Fisher's exact test, and logistic regression.

RESULTS

The cohort comprised of 337 patients, with an overall uninsured rate of 5.6%. This rate was achieved by insuring 64.7% of the cohort after admission. Non-survivors were more likely to have no insurance coverage (14.8% versus 4.8%, p = 0.041). Regression revealed that uninsured had 8 times (95% CI 1.7-38.7, p = 0.008) higher in-hospital mortality than those with insurance when controlling for injury severity. Additionally, injury severity score ≥ 15, transfer from outside hospital, need for ICU or operative treatment were predictive of mortality. Adjusted risk factors for severe disability at discharge did not include insurance status or race, while ISS ≥ 15 and ICU stay were predictive.

CONCLUSIONS

There are significant associations of insurance status with pediatric NAT outcomes, highlighting that determinants other than disease severity may influence mortality and morbidity. High-risk patients should be identified to develop strategies to improve outcomes.