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.
Medication Dosing Error
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.
Working With Doctors and Pharmacists to Help Parents Give Children's Liquid Medicines Safely
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NYU Langone Health - Brooklyn, Brooklyn, New York, United States, 11220
Sunset Park Family Health Center at NYU Langone, Brooklyn, New York, United States, 11220
NYC Health + Hospitals / Bellevue, New York, New York, United States, 10016
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
For general information about clinical research, read Learn About Studies.
18 Years to
ALL
No
NYU Langone Health,
H. Shonna Yin, MD, MS, PRINCIPAL_INVESTIGATOR, NYU Langone Health
2024-12-31