2016
DOI: 10.2106/jbjs.16.00101
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Are We Prescribing Our Patients Too Much Pain Medication?

Abstract: Prognostic Level I. See Instructions for Authors for a complete description of levels of evidence.

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Cited by 50 publications
(29 citation statements)
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“…Individualized prescriptions for postoperative opioid use, based on predictive modeling of known influential factors, could help us to better define expected use, potentially eliminating leftover medication and refill requests. However, our findings corroborate past research, 3,4,26 concluding that postoperative opioid consumption is difficult to predict. While there is substantial evidence 12,23 behind factors associated with the development of chronic opioid consumption or long-term use, these factors (male sex, depression, chronic back pain, and preoperative opioid use) have not been consistently borne out as risk factors for increased immediate postoperative consumption.…”
Section: Discussionsupporting
confidence: 91%
See 3 more Smart Citations
“…Individualized prescriptions for postoperative opioid use, based on predictive modeling of known influential factors, could help us to better define expected use, potentially eliminating leftover medication and refill requests. However, our findings corroborate past research, 3,4,26 concluding that postoperative opioid consumption is difficult to predict. While there is substantial evidence 12,23 behind factors associated with the development of chronic opioid consumption or long-term use, these factors (male sex, depression, chronic back pain, and preoperative opioid use) have not been consistently borne out as risk factors for increased immediate postoperative consumption.…”
Section: Discussionsupporting
confidence: 91%
“…12,22 Interestingly, no study, including ours, has found an association between adjunct analgesics (nonsteroidal anti-inflammatory medications, acetaminophen, or gabapentin) and total opioid consumption after discharge. 3,4,26 While a lack of power may explain the largely negative findings of ours and others on predictors of increased postoperative opioid use, another potential explanation is that we do not understand, or are not accurately capturing, the drivers behind postoperative opioid consumption. Over the first postoperative week, the median NRS pain scores and opioid consumption both decreased (see Figure 3).…”
Section: Discussionmentioning
confidence: 60%
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“…The effect of sex on chronic opioid use has thus far been equivocal. Studies have identified both female 1,17 and male 12,39 sex as a potential risk factor; however, in other studies, no associations between long-term opioid use and sex have been found. 14,28,34 Although the effect of sex on chronic opioid use is still ambiguous, evidence indicates that women are more likely to report chronic pain issues and opioid dependence.…”
Section: Discussionmentioning
confidence: 90%