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APHA Scientific Session and Event Listing

Recorded presentation

Leslie Robin Halpern, MD, DDS, PhD, MPH¹, Blair Parry, CCRC, BA², and Thomas Benton Dodson, DMD, MPH¹. (1) Oral and Maxillofacial Surgery, Massachusetts General Hospital, Warren 1201, 55 Fruit Street, Boston, MA 02114, 617-726-8222, lhalpern1@partners.org, (2) Emergency Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114

Purpose: To develop and validate a predictive model to identify women reporting intimate partner violence (IPV)-related injuries. Materials and Methods: Using a cross-sectional study design, we enrolled women > 18 years presenting for treatment of injuries. The sample was randomized into an index and validation datasets. The index dataset was used to develop a predictive model. The validation set served as an independent sample to assess the goodness-of-fit of the predictive model. Variables evaluated included risk for an IPV-related injury (characterized as head,neck and/or facial injury and positive response to a verbal questionnaire), age and race. The outcome variable was self-reported injury etiology (IPV or other). Multiple logistic regression techniques were used to develop a predictive model that was then applied to the validation dataset and the goodness-of-fit measured using the Hosmer- Lemeshow statistic. Results: The sample was randomized into index (n = 201) and validation (n=104) sets. In the index set, age (OR;.94 p=0.01), race (OR=3.7; p=0.01), and risk for IPV (OR=10.4;p=0.01) were associated with IPV-related injuries. The accuracy of the model was 92%. When applied to the validation dataset, there was excellent agreement between the observed and actual number of women with IPV-related injuries as evidenced by the accuracy, i.e. 93%. No statistically significant differences were noted between the observed and predicted outcomes (p = 0.64, Hosmer-Lemeshow statistic). Conclusions: A predictive model composed of age, race, and risk for IPV may be used to develop a protocol to facilitate the early diagnosis of IPV.

Learning Objectives:

• Discuss historical information regarding head,neck and facial injuries as identifiers of victims of Intimate Partner Violence (IPV)
• List several predictor variables that the Dental/Oral Surgeon can measure in identifying victims of IPV.
• Develop an algorithm for identification of victims of IPV using specific overall health/oral/dental health criteria and a verbal questionnaire.

Keywords: Epidemiology, Violence Prevention

Presenting author's disclosure statement:

Any relevant financial relationships? No

Recorded presentation