The study objective is to assess the impact of an automated electronic health record (EHR)-based intervention that leverages e-prescriptions to support pharmacist adherence to recommended dispensing practices, with the goal of reducing parent dosing errors. Specifically, the study aims are to: 1) Examine the efficacy of the EHR-based intervention in improving pharmacy dispensing practices, including a) adherence to mL-only dosing and b) provision of optimal dosing tools; 2) Examine the efficacy of the EHR-based intervention in reducing parent dosing errors. The study will also explore whether implementation of the EHR-based intervention will reduce disparities in dosing errors by parent health literacy and LEP, and explore the efficacy of the EHR-based intervention in reducing ADEs. A pre-/post-implementation study will be performed with English- and Spanish-speaking parents of children prescribed oral liquid medications in the pediatric emergency room, outpatient general pediatric clinic, and pediatric subspecialty clinics of 2 New York City hospital systems (NYU Langone Health - Brooklyn and NYC Health+Hospitals - Bellevue Hospital). Prior to implementation, e-Rx's will be generated by the EHR in the usual fashion; after implementation, e-Rx's will be generated by the EHR with instructions to the dispensing pharmacy to: 1) keep the dosing instructions in mL-only, and 2) dispense a specific dosing tool based on the amount prescribed. The proposed project is consistent with a growing national focus on promoting the adoption of evidence-based strategies to improve disease management that address the needs of those with low health literacy and LEP from groups like the Joint Commission and the AHRQ.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE
Enrollment
500
The intervention will be built directly into the EHR. E-prescriptions will be generated with pharmacy instructions for all prescription medications. The intervention will impart: 1) inclusion with e-Rx request for pharmacy to keep metric-only (mL-only) dosing on Rx label and 2) inclusion of guidance on the e-Rx requesting that the pharmacy give an optimal tool based on an algorithm. Algorithm for dosing tool recommendation: 1) for a prescribed dose of \<= 1mL, optimal tool is 1 mL syringe, 2) for \>1 mL to 5 mL, use a 5 mL syringe, 3) for \>5mL to 10mL, use 10 mL syringe.
NYU Langone Health - Brooklyn
Brooklyn, New York, United States
RECRUITINGSunset Park Family Health Center at NYU Langone
Brooklyn, New York, United States
RECRUITINGNYC Health + Hospitals / Bellevue
New York, New York, United States
NOT_YET_RECRUITINGCaregiver Dosing Error
Dosing error will be defined as \>20% deviation from the prescribed dose
Time frame: Within 8 weeks of index visit (Visit 2)
Caregiver Large Dosing Error
Large dosing error will be defined as \>40% deviation from the prescribed dose
Time frame: Within 8 weeks of index visit (Visit 2)
Pharmacy Use of mL-only on Rx Label
Time frame: Within 4 weeks of index visit (Visit 1)
Pharmacy Provision of Optimal Dosing Tool
Time frame: Within 4 weeks of index visit (Visit 1)
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