Decreasing Prescribing Errors in Antimicrobial Stewardship Program-Restricted Medications

OBJECTIVES

Antimicrobial stewardship programs (ASPs) restrict prescribing practices to regulate antimicrobial use, increasing the risk of prescribing errors. This quality improvement project aimed to decrease the proportion of prescribing errors in ASP-restricted medications by standardizing workflow.

METHODS

The study took place on all inpatient units at a tertiary care children's hospital between January 2020 and February 2022. Patients <22 years old with an order for an ASP-restricted medication course were included. An interprofessional team used the Model for Improvement to design interventions targeted at reducing ASP-restricted medication prescribing errors. Plan-Do-Study-Act cycles included standardizing communication and medication review, implementing protocols, and developing electronic health record safety nets. The primary outcome was the proportion of ASP-restricted medication orders with a prescribing error. The secondary outcome was time between prescribing errors. Outcomes were plotted on control charts and analyzed for special cause variation. Outcomes were monitored for a 3-month sustainability period.

RESULTS

Nine-hundred ASP-restricted medication orders were included in the baseline period (January 2020-December 2020) and 1035 orders were included in the intervention period (January 2021-February 2022). The proportion of prescribing errors decreased from 10.9% to 4.6%, and special cause variation was observed in Feb 2021. Mean time between prescribing errors increased from 2.9 days to 8.5 days. These outcomes were sustained.

CONCLUSIONS

Quality improvement methods can be used to achieve a sustained reduction in the proportion of ASP-restricted medication orders with a prescribing error throughout an entire children's hospital.

Drivers of Differential Time to Diagnosis in Pediatric ALL Tied to Race and Ethnicity

Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy, with diagnosis preceded by symptoms that may include fever, weight loss, fatigue, bleeding, and bruising. Timely diagnosis and treatment of ALL may lead to improved outcomes and reduced morbidity from associated complications, including tumor lysis syndrome, hyperviscosity, and stroke. We performed a retrospective cohort analysis of 274 pediatric pre-B cell ALL and acute lymphoblastic lymphoma patients within Montefiore Health System to determine whether there were factors associated with time from symptom onset to diagnosis. The median time to diagnosis for all patients was 11.5 days (interquartile range: 7.8, 14.3). Those with Medicaid insurance (n=189) were diagnosed sooner than those with private/self-pay insurance (n=85) (median of 10 vs. 16 days; P =0.05). English and other language speakers experienced fewer median days from symptom onset to diagnosis date compared with Spanish speakers (11 vs. 7 vs. 14; P =0.05). Insurance status may impact the time to diagnosis to a greater degree in non-Hispanic patients, while the English language and female sex may represent a greater advantage to Hispanic patients. Insurance status and language preference may impact the time to diagnosis of pediatric ALL. There is a further need to confirm our findings and to study possible causes driving these disparities.

Impact of race/ethnicity and language preferences on pediatric ALL survival outcomes

BACKGROUND

Ethnic and racial disparities have recently been observed both in treatment-related toxicities and rates of long-lasting cure in acute lymphoblastic leukemia (ALL) and acute lymphoblastic lymphoma (ALLy), the most common pediatric malignancy. Despite significant improvements in overall survival in the recent past, a large number of children die from aggressive disease.

METHODS

We performed a retrospective cohort analysis of 274 pediatric ALL/ALLy patients within Montefiore Health System from 2004 to 2021 to determine differences in all-cause mortality within the Pediatric Hematologic Malignancies Cohort using Cox Proportional Hazard regression modeling, adjusted for age at diagnosis, race/ethnicity, administration of intensive chemotherapy, preferred language, maximum glucose, and hypertension.

RESULTS

Among our 274 patients, 132 were Hispanic, 54 Non-Hispanic Black, and 25 Non-Hispanic White, with 25 identified as "Non-Hispanic Other," including Asian, Arabic, and Other. Hispanic patients were 78% less likely to die (HR 0.22; 95% CI 0.07, 0.73) when compared with Non-Hispanic Black individuals. Spanish speakers were 2.91 times more likely to die compared with those who spoke English (HR 2.91; 95% CI 1.08, 7.82). Among those English speakers, the diagnosis of hypertension and Hispanic ethnicity significantly impacted the risk of death, while these factors did not impact survival in Spanish speakers. High-risk cytogenetics did not impact survival.

CONCLUSIONS

Hispanic children with ALL/ALLy have improved survival outcomes compared with Non-Hispanic Blacks. Additionally, Spanish language preference was strongly associated with poorer survival, a novel finding that should be validated in future studies.

Matched Targeted Therapy for Pediatric Patients with Relapsed, Refractory, or High-Risk Leukemias: A Report from the LEAP Consortium

Despite a remarkable increase in the genomic profiling of cancer, integration of genomic discoveries into clinical care has lagged behind. We report the feasibility of rapid identification of targetable mutations in 153 pediatric patients with relapsed/refractory or high-risk leukemias enrolled on a prospective clinical trial conducted by the LEAP Consortium. Eighteen percent of patients had a high confidence Tier 1 or 2 recommendation. We describe clinical responses in the 14% of patients with relapsed/refractory leukemia who received the matched targeted therapy. Further, in order to inform future targeted therapy for patients, we validated variants of uncertain significance, performed ex vivo drug-sensitivity testing in patient leukemia samples, and identified new combinations of targeted therapies in cell lines and patient-derived xenograft models. These data and our collaborative approach should inform the design of future precision medicine trials. SIGNIFICANCE: Patients with relapsed/refractory leukemias face limited treatment options. Systematic integration of precision medicine efforts can inform therapy. We report the feasibility of identifying targetable mutations in children with leukemia and describe correlative biology studies validating therapeutic hypotheses and novel mutations.See related commentary by Bornhauser and Bourquin, p. 1322.This article is highlighted in the In This Issue feature, p. 1307.