Hysterectomy and predictors for opioid prescription in a XXXX clinic sample.

@entity1 @entity1118 @entity158
OBJECTIVES: To describe the prevalence of hysterectomy for @entity1 aged 18-45 seeking treatment at a @entity1118 clinic, to describe @entity1 characteristics ( @entity158 intensity, age, smoking status, hormone replacement status, and psychosocial factors) based on opioid and hysterectomy status, and to determine whether hysterectomy status predicted receipt of opioid prescription. DESIGN: Retrospective cross-sectional chart review. @entity1 : Total 323 new female @entity1 aged 18-45 who completed the Brief @entity158 Inventory-Short Form at initial evaluation at a @entity1118 clinic during a 12-month period (July 2008-June 2009). MEASURES: Data were collected from the Brief @entity158 Inventory and medical charts. Variables included opioid prescription, average @entity158 intensity, @entity158 type, age, hysterectomy status, smoking status, and @entity158 across domains measured by the Brief @entity158 Inventory. The association of opioid prescription with hysterectomy and other factors were determined by logistic regression. RESULTS: Prevalence of hysterectomy was 28.8%. Average @entity158 intensity was not associated with either hysterectomy or opioid prescription status. However, hysterectomy and high levels of @entity158 were significantly and independently associated with opioid prescription after adjusting for age and @entity158 intensity. More than 85% of @entity1 with hysterectomy and high @entity158 had opioid prescription. CONCLUSIONS: Hysterectomy may confer risk for @entity158 and opioid prescription in @entity1 45 and younger. More research is needed to understand 1) how @entity1 characteristics influence prescribing patterns and 2) the specific medical risks and consequences of chronic opioid therapy in this population.
