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Original Articles

Using growth curves to determine the timing of booster sessions

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Pages 322-342 | Published online: 03 Nov 2009
 

Abstract

Booster sessions are often recommended to reestablish or reinforce the cognitive messages or behavior changes due to therapeutic and behavioral interventions. To plan intervention‐relevant booster sessions, researchers need to know the pattern(s) of individual change over time in outcome variables and for experimental groups. Growth curve analysis of repeated measures can estimate these patterns for different categories of intervention participants. This article demonstrates an application of this method using data from a recently completed multisite randomized experiment that compared 3 different counseling and testing methods for prevention of HIV infection and other sexually transmitted diseases, Project RESPECT. Reported self‐efficacy for condom use with the main sexual partner is used as an illustrative example. For most experimental groups, self‐efficacy for condom use declined for both female and male respondents soon after the intervention and booster sessions should have been instituted within 3 months after the intervention. The article closes with some recommendations for both prospective and retrospective use of growth curves to rationally plan the timing of booster sessions and to evaluate their effectiveness in preventing relapse.

Notes

Baltimore: Carolyn Erwin‐Johnson; Andrew L. Lentz; Mary A. Staat; Dawn Sweet; Jonathan M. Zenilman (Principal Investigator [PI]). Denver: John M. Douglas, Jr. (PI); Tamara Hoxworth; Ken Miller; William McGill. Long Beach: Ruth Bundy (co‐PI); Laura A. Hoyt; C. Kevin Malotte; Fen Rhodes (PI). Newark: Michael Iatesta; Eileen Napolitano (co‐PI); Judy Rogers; Ken Spitalny (PI). San Francisco: Gail A. Bolan (PI); Coleen LeDrew; Kimberly A.J. Coleman; Luna Hananel; Charlotte K. Kent. NOVA, Inc.: Robert Francis (PI); Christopher Gordon; Nancy Rosenshine; Carmita Signes. CDC: Sevgi Aral; Robert H. Byers; Beth Dillon; Martin Fishbein; Sandra Graziano; Mary L. Kamb; William Killean; James Newhall; Daniel Newman; Thomas A. Peterman; Karen L. Willis.

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