Articles: opioid.
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Little is known about prescription filling of pain medicine for children. In adult populations, race and insurance type are associated with differences in opioid prescription fill rate. We hypothesize that known disparities in pain management for children are exacerbated by the differential rates of opioid prescription filling between patients based on age and race. ⋯ Less than half of opioid prescriptions prescribed at discharge from a pediatric emergency department are filled. Patient age, insurance status, and race/ethnicity are not associated with opioid prescription filling. Patients with sickle cell disease and those with a primary care provider are more likely to fill their opioid prescriptions.
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The opioid abuse epidemic has focused attention on efforts to decrease opioid prescribing. Although education and feedback interventions are potential levers to affect opioid prescribing, their incremental contribution against a background of declining opioid prescriptions is unclear. ⋯ The ED Opioid Safety Initiative was associated with a near-term decrease in multiple categories of opioid prescribing, including for selected subgroups of common painful conditions.
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Journal of women's health · Jun 2022
The Effect of an Automated Order on Postpartum Opioid Use After Uncomplicated Vaginal Deliveries.
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. ⋯ 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.