2014
DOI: 10.1111/acem.12547
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Gender and Prescription Opioid Misuse in the Emergency Department

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Cited by 24 publications
(19 citation statements)
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“…23,24 Equal numbers of men and women also have ED visits related to prescription opioids. 25 A possible explanation for this discrepancy with our study findings is that women might not identify prescription opioids as drugs being misused based on the ASSIST screening instrument. This observation highlights a gap in knowledge; it is not yet known how current means of detecting substance use differs between sexes.…”
Section: Discussioncontrasting
confidence: 96%
“…23,24 Equal numbers of men and women also have ED visits related to prescription opioids. 25 A possible explanation for this discrepancy with our study findings is that women might not identify prescription opioids as drugs being misused based on the ASSIST screening instrument. This observation highlights a gap in knowledge; it is not yet known how current means of detecting substance use differs between sexes.…”
Section: Discussioncontrasting
confidence: 96%
“…Moreover, as gender has been pointed out as a relevant factor in prescription opioid‐use disorder (Choo, Douriez & Green, ; Cochran et al., ; Han, Kass, Wilsey & Li, ; Kaye et al., ; Kerridge et al., ), measurement invariance was tested to assess if the ARSW was sensitive to gender characteristics. No reduction in the goodness of fit of the model was observed as restrictions were incorporated, reaching the highest level of invariance with appropriate fit indices (CFI = 0.88 and RMSEA = 0.04).…”
Section: Discussionsupporting
confidence: 64%
“…Prior studies have assessed if patient characteristics, such as gender, age, insurance type, and socioeconomic status are significant predictors of quality of pain management, opioid prescribing, and drug non-medical use [ 7 , 8 ]. Our results show that the Indiana rules are indeed differently associated to different patient subgroups.…”
Section: Discussionmentioning
confidence: 99%
“…However, little is known about how the emergency rules differentially impact patient subgroups. Prior research has identified patient characteristics, such as gender, age, insurance type, and socioeconomic status as significant predictors of pain management, opioid prescribing, and drug non-medical use [ 7 , 8 ]. In addition, research has documented issues attributed to biases in prescribing, such as: 1) undertreating pain in some patient subgroups, thus worsening an existing disparity in pain management [ 7 , 8 ], and 2) failing to correct overprescribing for other patient groups, thus exposing them to the harmful effects of opioid use and non-medical use [ 9 ].…”
Section: Introductionmentioning
confidence: 99%