Few evidence-based interventions address adolescent relationship abuse in clinical settings. This cluster randomized controlled trial tested the effectiveness of a brief relationship abuse education and counseling intervention in school health centers (SHCs). In 2012-2013, 11 SHCs (10 clusters) were randomized to intervention (SHC providers received training to implement) or standard-of-care control condition. Among 1,062 eligible students ages 14 to 19 years at 8 SHCs who continued participation after randomization, 1,011 completed computer-assisted surveys before a clinic visit; 939 completed surveys 3 months later (93% retention). Interventions versus control adjusted mean differences (95% confidence interval) on changes in primary outcomes were not statistically significant: recognition of abuse = 0.10 (0.02 to 0.22); intentions to intervene = 0.03 (0.09 to 0.15); and knowledge of resources = 0.18 (0.06 to 0.42). Intervention participants had improved recognition of sexual coercion compared with controls (adjusted mean difference = 0.10 [0.01 to 0.18]). In exploratory analyses adjusting for intensity of intervention uptake, intervention effects were significant for increased knowledge of relationship abuse resources and self-efficacy to use harm reduction behaviors. Among participants reporting relationship abuse at baseline, intervention participants were less likely to report such abuse at follow-up (mean risk difference = 0.17 [0.21 to 0.12]). Adolescents in intervention clinics who reported ever being in an unhealthy relationship were more likely to report disclosing this during the SHC visit (adjusted odds ratio = 2.77 [1.29 to 5.95]). This is the first evidence of the potential benefit of a SHC intervention to address abusive relationships among adolescents. (Published Abstract)
Downloads
Similar Publications
- Estimating the Impact of Research Practitioner Partnerships on Evidence-based Program Implementation
- Wavelength Dependence on the Elemental Analysis of Glass by Laser Induced Breakdown Spectroscopy
- Identification of the Species Constituents of Maggot Populations Feeding on Decomposing Remains -- Facilitation of the Determination of Post Mortem Interval and Time Since Tissue Infestation Through Application of Machine Learning and Direct Analysis in R