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Safely examining complex dynamics of intimate partner violence
Sandra K Burge1, Johanna Becho1, Robert L Ferrer1
1Department of Family & Community Medicine.
Summary
This study used complexity science to analyze intimate partner violence dynamics. Real-time data from 145 women revealed daily aggression patterns, informing clinical interventions for domestic violence.
Area of Science:
- Complexity Science
- Domestic Violence Research
- Clinical Psychology
Background:
- Intimate partner violence (IPV) presents complex, nonlinear dynamics.
- Understanding real-time IPV patterns is crucial for effective clinical interventions.
Purpose of the Study:
- To apply complexity science methods to analyze day-to-day IPV dynamics.
- To assess the feasibility and safety of real-time data collection in IPV research.
- To gather insights for improving clinical interventions for IPV.
Main Methods:
- Enrolled 200 women in moderately violent relationships for a 12-week study.
- Utilized an Interactive Voice Response (IVR) system for daily surveys (34 questions).
- Collected baseline/end-of-study surveys, weekly phone contact, and qualitative interviews from 42 participants.
Main Results:
- 145 women provided sufficient data (average 63.5 daily reports each).
- Partner aggression reported on 39.4% of days; participant aggression on 23.1%.
- No significant change in violence severity over 12 weeks; study participation was safe.
Conclusions:
- Real-time data collection via IVR is feasible and safe for IPV research.
- Complexity science offers valuable insights into the nonlinear dynamics of IPV.
- Findings support the development of targeted clinical interventions for domestic violence.