USF-LVHN SELECT
Development of a 5-Step Electronic Medical Record-Based Algorithm to Identify Patients with Opioid Use Disorder in Pregnancy.
Publication/Presentation Date
1-1-2024
Abstract
OBJECTIVES: This study aimed to develop and validate an algorithm for the identification of opioid use disorder (OUD) in pregnant patients using electronic medical record (EMR) data.
MATERIALS AND METHODS: A cohort of pregnant patients from a single institution was used to develop and validate the algorithm. Five algorithm components were used, and chart reviews were conducted to confirm OUD diagnoses based on established criteria. Positive predictive values (PPV) of each of the algorithm's components were assessed.
RESULTS: Of the 334 charts identified by the algorithm, 256 true cases were confirmed. The overall PPV of the algorithm was 76.6%, with 100% accuracy for outpatient medication lists, and high PPVs ranging from 81.3% to 93.4% across other algorithm components.
DISCUSSION AND CONCLUSION: The study highlights the significance of a multifaceted approach in identifying OUD among pregnant patients, aiming to improve patient care and target interventions for patients at risk.
Volume
51
Issue
2
First Page
69
Last Page
74
ISSN
1945-6123
Published In/Presented At
Fryer, K., Reid, C. N., Chaphalkar, C., Marshall, J., Szalacha, L., Johnson, K., Wright, T., Read, C., Khan, A., Wilson, A., Ratani, M., Cox, K., Tavolieri, A., Sampayo, M., Su, R., Campbell, K., & Salemi, J. L. (2024). Development of a 5-Step Electronic Medical Record-Based Algorithm to Identify Patients with Opioid Use Disorder in Pregnancy. Journal of registry management, 51(2), 69–74.
Disciplines
Medical Education | Medicine and Health Sciences
PubMedID
39184206
Department(s)
USF-LVHN SELECT Program, USF-LVHN SELECT Program Students
Document Type
Article