Key result
Opioid intake during the 24-hour predischarge time frame was strongly correlated with self-reported postdischarge opioid use (ρ= 0.60, P < .001).
Why the study?
Predischarge opioid use predicts postdischarge intake after inpatient surgery, but the most appropriate predischarge time frame for individualizing prescriptions is unknown.
Does opioid intake during specific predischarge time frames correlate with postdischarge opioid use in adult surgery patients?
Observational (n=604)
Does opioid intake during specific predischarge time frames correlate with postdischarge opioid use in adult surgery patients?
Opioid intake during the 24 hours prior to discharge strongly correlates with postdischarge use, providing a practical metric for individualizing opioid prescriptions.
Answers are grounded in this paper and cite their sources.
24-hour predischarge opioid use may inform discharge prescriptions; leaves open prospective validation before practice change.
Previous work has shown that predischarge opioid use is the most reliable and practical predictor of postdischarge opioid intake after inpatient surgery. However, the most appropriate predischarge time frame for operationalizing this relationship into more individualized prescriptions is unknown. We compared the correlations between the quantity of opioids taken during 5 predischarge time frames and self-reported postdischarge opioid intake in 604 adult surgery patients. We found that the 24-hour predischarge time frame was most strongly correlated (ρ= 0.60, P < .001) with postdischarge opioid use and may provide actionable information for predicting opioid use after discharge.
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Schenkel et al. (2024) conducted an observational in Inpatient surgery (n=604). Opioid intake during 24-hour predischarge time frame vs. Other predischarge time frames was evaluated on Self-reported postdischarge opioid intake (ρ= 0.60, p=< .001). Opioid intake during the 24-hour predischarge time frame was strongly correlated with self-reported postdischarge opioid use (ρ= 0.60, P < .001).
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