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Managing postoperative pain effectively remains a major priority for surgeons performing abdominal cancer resections. However, clinicians often face significant challenges in preventing opioid over-prescription and subsequent dependence. This pragmatic randomized clinical trial evaluated two validated discharge opioid prescribing models to identify the most effective strategy for minimizing excess pill volumes.
Specifically, researchers compared a linear 5x-multiplier algorithm with a capped 3-tier model. The 5x-multiplier calculates dosage by multiplying the oral morphine equivalents (OME) used in the last 24 hours by five. Furthermore, the trial included 150 adults undergoing various procedures, such as hepatectomy and pancreatectomy. Notably, all patients received a non-opioid analgesic bundle to support recovery.
Consequently, the researchers measured discharge volumes and patient-reported outcomes over 14 days. The results showed that the 5x-multiplier model provided a median of 25 mg OME at discharge. In contrast, the 3-tier model resulted in a significantly higher median of 75 mg OME. Therefore, the 5x-multiplier model effectively reduced the initial prescription volume without compromising care.
Additionally, both groups reported extremely low opioid consumption after leaving the hospital. Satisfaction scores remained high regardless of which model was applied. This suggests that individualized, linear models are superior for minimizing the circulation of excess pills. Moreover, surgeons can safely adopt these standardized protocols to mitigate the risks of opioid diversion.
The 5x-multiplier is an algorithm where the volume of opioids prescribed at discharge is determined by multiplying the patient\'s actual oral morphine equivalent (OME) consumption in the 24 hours prior to discharge by five.
No, this trial demonstrated that reducing the volume of prescribed opioids using standardized models did not negatively affect patient satisfaction or pain control scores after major surgery.
Standardized models help eliminate prescribing variability. By matching the prescription to the patient\'s actual inpatient needs, surgeons can reduce the number of unused pills in the community and lower the risk of long-term dependence.
Disclaimer: This content is for informational and educational purposes only. It does not constitute professional medical advice, diagnosis, or treatment. Always seek the advice of your physician or other qualified healthcare provider with any questions you may have regarding a medical condition. Refer to the latest local and national guidelines for clinical practice.
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A randomized clinical trial of 150 patients found that the 5x-multiplier prescribing model significantly reduces discharge opioid volumes compared to the 3-tier model without affecting patient satisfaction or consumption.
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