Objective: When counseling women experiencing intimate partner violence (IPV), healthcare providers can benefit from understanding the factors contributing to a women's motivation to change her situation. We wished to examine the various factors and situations associated with turning points and change seeking in the IPV situation. Methods: We performed qualitative analysis on data from 7 focus groups and 20 individual interviews with women (61 participants) with past and=or current histories of IPV. Results: The turning points women identified fell into 5 major themes: (1) protecting others from the abuse=abuser; (2) increased severity=humiliation with abuse; (3) increased awareness of options=access to support and resources; (4) fatigue=recognition that the abuser was not going to change; and (5) partner betrayal=infidelity. Conclusions: Women experiencing IPV can identify specific factors and events constituting turning points or catalyst to change in their IPV situation. These turning points are dramatic shifts in beliefs and perceptions of themselves, their partners, and=or their situation that alter the women's willingness to tolerate the situation and motivate them to consider change. When counseling women experiencing IPV, health providers can incorporate understanding of turning points to motivate women to move forward in their process of changing their IPV situation.

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This study investigated the Alcohol Use Disorders Identification Test's (AUDIT) factor structure and psychometric properties. The factor structure was derived from a sample of 7,035 men and women primary care patients. A principal components analysis identified 2 factors in the AUDIT data and was supported in a confirmatory factor analysis (CFA). The 2 factors were Dependence/Consequences and Alcohol Consumption. The CFA also provided support for a 3-factor model whose factors (Alcohol Consumption, Alcohol Dependence, and Related Consequences) matched those proposed by the AUDIT's developers. Psychometric indexes were determined by use of the baseline and 12-month follow-up data of 301 men and women who entered a clinical trial. The results showed that the 2 factors had good reliability. Validity tests supported the interpretation of what the 2 factors measure, its implications for relationships to other variables, and the comparability of the 2- and 3-factor models.

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