Understanding Pediatric Surgery Cancellation: Geospatial Analysis.

BACKGROUND: Day-of-surgery cancellation (DoSC) represents a substantial wastage of hospital resources and can cause significant inconvenience to patients and families. Cancellation is reported to impact between 2% and 20% of the 50 million procedures performed annually in American hospitals. Up to 85% of cancellations may be amenable to the modification of patients' and families' behaviors. However, the factors underlying DoSC and the barriers experienced by families are not well understood. OBJECTIVE: This study aims to conduct a geospatial analysis of patient-specific variables from electronic health records (EHRs) of Cincinnati Children's Hospital Medical Center (CCHMC) and of Texas Children's Hospital (TCH), as well as linked socioeconomic factors measured at the census tract level, to understand potential underlying contributors to disparities in DoSC rates across neighborhoods. METHODS: The study population included pediatric patients who underwent scheduled surgeries at CCHMC and TCH. A 5-year data set was extracted from the CCHMC EHR, and addresses were geocoded. An equivalent set of data >5.7 years was extracted from the TCH EHR. Case-based data related to patients' health care use were aggregated at the census tract level. Community-level variables were extracted from the American Community Survey as surrogates for patients' socioeconomic and minority status as well as markers of the surrounding context. Leveraging the selected variables, we built spatial models to understand the variation in DoSC rates across census tracts. The findings were compared to those of the nonspatial regression and deep learning models. Model performance was evaluated from the root mean squared error (RMSE) using nested 10-fold cross-validation. Feature importance was evaluated by computing the increment of the RMSE when a single variable was shuffled within the data set. RESULTS: Data collection yielded sets of 463 census tracts at CCHMC (DoSC rates 1.2%-12.5%) and 1024 census tracts at TCH (DoSC rates 3%-12.2%). For CCHMC, an L2-normalized generalized linear regression model achieved the best performance in predicting all-cause DoSC rate (RMSE 1.299%, 95% CI 1.21%-1.387%); however, its improvement over others was marginal. For TCH, an L2-normalized generalized linear regression model also performed best (RMSE 1.305%, 95% CI 1.257%-1.352%). All-cause DoSC rate at CCHMC was predicted most strongly by previous no show. As for community-level data, the proportion of African American inhabitants per census tract was consistently an important predictor. In the Texas area, the proportion of overcrowded households was salient to DoSC rate. CONCLUSIONS: Our findings suggest that geospatial analysis offers potential for use in targeting interventions for census tracts at a higher risk of cancellation. Our study also demonstrates the importance of home location, socioeconomic disadvantage, and racial minority status on the DoSC of children's surgery. The success of future efforts to reduce cancellation may benefit from taking social, economic, and cultural issues into account.

Increasing compliance of safe medication administration in pediatric anesthesia by use of a standardized checklist.

BACKGROUND: Medication errors pose a significant risk perioperatively. In the perioperative environment, common medication administration processes are not typically performed. Given the common administration of potentially harmful medications and the potential for medication errors, patient risk is substantial. Specifically, intravenous acetaminophen has been used more frequently in the perioperative period which yielded an increase in medication administration errors reported. AIMS: This project was initiated by Cincinnati Children's Hospital after an increase in perioperative acetaminophen dosing errors was reported. After mapping the administration process of perioperative acetaminophen, we sought to reduce medication errors by the use of a safety checklist. Acetaminophen was used as a surrogate for other perioperative medications in this quality improvement project. METHODS: Use of a failure mode effects analysis assisted the team in understanding the failures of the process of safe medication administration. Subsequently, key drivers of this process were designed to include accurate understanding and documentation of medication history, consistent communication between perioperative caregivers, and an efficient checklist process. A multidisciplinary team conducted a series of tests to modify key drivers. Data were collected by utilizing data from a paper checklist, prior to the electronic medical record change that was prompted by this study. A total of 633 checklists and electronic medical records were analyzed during a 6-month period; data were analyzed using control charts and statistical process control methods. RESULTS/ANALYSIS: The percentage of compliance with the safe administration checklist for acetaminophen in the preoperative period increased to 97%. Use of the paper checklist likely prompted the appropriate increase in compliance with safe administration. Additionally, provider-specific feedback produced a significant increase in compliance with the use of the checklist. CONCLUSION: Application of quality improvement methods, specifically a safety checklist, were utilized to improve the safe administration of acetaminophen during the perioperative period. Increasing reliability of accurate delivery and administration of medication to patients are crucial in optimizing patient safety. Use of a medication safety checklist may be beneficial in reducing potential administration errors, specifically for high-risk medications.

Chronic Foot Pain due to Pachyonychia Congenita in a Pediatric Patient: A Successful Management Strategy.

We report the case of an 11-year-old girl who presented to our multidisciplinary pain center with the chief complaint of chronic bilateral foot pain because of a rare congenital keratin disorder. This patient had been diagnosed with pachyonychia congenita, an extremely rare genetic disorder primarily affecting the skin and nails. The child had bilateral foot pain for years because of the characteristic blisters and calluses on the soles of her feet. Chronic pain was negatively impacting her quality of life; she was severely limited in her activities of daily living secondary to pain. Furthermore, she reported absenteeism from school, lack of social activities, and frequent nighttime awakenings. We discuss the successful management of her chronic foot pain using a multimodal, multidisciplinary approach.