Abstract: Predictors of Responsiveness Among American Indian Adolescents to a Community-Based HIV Risk Reduction Intervention over 12 Months (Society for Prevention Research 26th Annual Meeting)

472 Predictors of Responsiveness Among American Indian Adolescents to a Community-Based HIV Risk Reduction Intervention over 12 Months

Schedule:
Friday, June 1, 2018
Bunker Hill (Hyatt Regency Washington, Washington, DC)
* noted as presenting author
Lauren Tingey, PhD, Assistant Scientist, Johns Hopkins University, Baltimore, MD
Rachel Chambers, MPH, Research Associate, The Johns Hopkins University, Baltimore, MD
Novalene Goklish, MS, Senior Research Program Coordinator, The Johns Hopkins University, Whiteriver, AZ
Francene Larzelere, MS, Senior Research Program Coordinator II, The Johns Hopkins University, Whiteriver, AZ
Angelita Lee, AA, Research Program Coordinator, The Johns Hopkins University, Baltimore, MD
Mariddie Craig, N/A, JHU, The Johns Hopkins University, Whiteriver, AZ
Summer Rosenstock, PhD, Assistant Scientist, The Johns Hopkins University, Baltimore, MD
Introduction: The Respecting the Circle of Life (RCL) program has been evaluated longitudinally and shown to improve many outcomes critical to prevention of teen pregnancy and STIs/HIV among American Indian youth ages 13-19 years old. However, adolescents are diverse and interventions may have varying efficacy among subgroups with different baseline profiles. This study explores predictors of responsiveness to RCL, a sexual and reproductive health program for American Indian (AI) youth.

Methods: RCL was evaluated through a cluster randomized controlled trial with 267 American Indian youth. RCL was delivered over 8 sessions, embedded in an 8-day summer basketball camp. Data were collected over 12-months and included sociodemographic data, risk/protective factors, knowledge, behaviors, and the seven Protection Motivation Theoretical constructs (self-efficacy, response efficacy, response cost, intrinsic reward, extrinsic reward, severity and vulnerability) undergirding the RCL program. Mixed effects regression models were used to examine whether trajectory patterns of HIV/AIDS knowledge, condom beliefs, condom use self-efficacy, condom use intention and partner negotiation skills differed by initial baseline levels categorized into low, medium and high scorers. Additionally, characteristics of youth who made no improvement over the post-intervention period were examined.

Results: Results indicated the RCL intervention had greater longitudinal impact among youth who were initially at greater risk (i.e. those with low and medium initial scores). High initial scores in knowledge, beliefs, efficacy, intention, and skills predicted unresponsiveness to the RCL intervention. Youth differences in age, gender and school truancy (skipping/suspension) did not predict responsiveness to RCL.

Conclusion: Understanding intervention responsiveness may be useful for guiding program modification and replication to improve efficacy among unresponsive subgroups (i.e. high initial scorers). RCL is equally likely to impact AI youth across different ages, genders and school status, thus validating population-wide implementation in school and other community-based settings.