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1.
J Womens Health (Larchmt) ; 31(6): 842-847, 2022 06.
Article in English | MEDLINE | ID: mdl-35235438

ABSTRACT

Background: To address the opioid epidemic, physicians are encouraged to identify means of reducing patient opioid exposure. Electronic medical records (EMRs) often include default order sets with automated orders for opioid medications, which may influence how much opioids physicians prescribe. We sought to evaluate the impact of de-selecting an automated order for oxycodone-acetaminophen from an EMR order set for postpartum vaginal deliveries on inpatient opioid exposure by comparing the proportion of patients who received an opioid after an uncomplicated vaginal delivery before and after the EMR change. As secondary outcomes, the impact on average total morphine milligram equivalents (MMEs) and discharge opioid prescriptions was investigated. Materials and Methods: A quality improvement study was conducted through retrospective chart review of uncomplicated vaginal deliveries for the four quarters before and after the EMR order set change occurred. The total proportion of patients who received an opioid in the postpartum period was then determined for the preexposure and postexposure groups. The total average MME consumed for patients who received an opioid in each group was determined and the total proportion of patients who received an opioid prescription at discharge was compared. Results: A total of 5826 records of uncomplicated vaginal deliveries met the criteria for analysis. In the preintervention group, 32.9% of patients received an opioid postpartum, compared to 12.5% of patients in the postintervention group, representing a decrease of 62.0% (p < 0.001). Of those who received opioids, the preintervention mean total opioid consumption was 28.4 MME (±27.6) compared to 33.6 MME (±46.4) postintervention, and there was no significant difference in median total opioid consumption: 22.5 MME (interquartile range [IQR]: 7.5-47.5) preintervention compared with 20.8 MME (IQR: 7.5-45.0) postintervention (p = 0.902). No significant difference was found with discharge opioid prescriptions between the two groups. Conclusion: Order sets within EMR systems appear to have a significant influence on physician prescribing behaviors and removing these automated orders for opioids should be considered.


Subject(s)
Analgesics, Opioid , Opioid-Related Disorders , Analgesics, Opioid/therapeutic use , Female , Humans , Opioid-Related Disorders/drug therapy , Opioid-Related Disorders/epidemiology , Postpartum Period , Practice Patterns, Physicians' , Retrospective Studies
2.
Am J Surg ; 206(6): 987-93; discussion 993-4, 2013 Dec.
Article in English | MEDLINE | ID: mdl-24119886

ABSTRACT

BACKGROUND: Guidelines are in place directing the clearance of the cervical spine in patients who are awake, alert, and oriented, but a gold standard has not been recognized for patients who are obtunded. Our study is designed to determine if magnetic resonance imaging (MRI) detects clinically significant injuries not seen on computed tomographic (CT) scans. METHODS: The trauma registry was used to identify and retrospectively review medical records of blunt trauma patients from January 1, 2005, to March 30, 2012. Only obtunded patients with a CT scan and MRI of the cervical spine were included. RESULTS: The study cohort consisted of 277 patients. In 13 (5%) patients, MRI detected clinically significant cervical spine injuries that were missed by CT scans, and in 7 (3%) these injuries required intervention. The number needed to screen with MRI to prevent 1 missed injury was 21. CONCLUSIONS: The findings suggest that the routine use of MRI in clearing the cervical spine in the obtunded blunt trauma patient.


Subject(s)
Cervical Vertebrae/injuries , Magnetic Resonance Imaging/methods , Practice Guidelines as Topic , Spinal Injuries/diagnosis , Tomography, X-Ray Computed/methods , Wounds, Nonpenetrating/diagnosis , Adolescent , Adult , Aged , Aged, 80 and over , Cervical Vertebrae/diagnostic imaging , Cervical Vertebrae/pathology , Child , Child, Preschool , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Reproducibility of Results , Retrospective Studies , Trauma Centers , Young Adult
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