Assessing intervention efficacy: An example based on change profiles of unprotected sex among drug users

Mark Beardsley, Marjorie F. Goldstein, Sherry Deren, Stephanie Tortu

Research output: Contribution to journalArticle

Abstract

Over 700 active drug users recruited in East Harlem, New York City, to participate in an AIDS prevention project were interviewed on two occasions, 6 months apart, to assess changes in HIV-related risk behaviors. This paper presents an example of a method for analyzing patterns of risk behavior change over time as a means of comparing the effectiveness of two interventions. Results described in this paper focus on the number of unprotected sex acts reported in the 30 days prior to each interview and reflect five distinct patterns of risk level over time (i.e., a decrease, an increase, remaining at low risk, remaining at high risk, or no sexual activity at either time). Bivariate and multivariate analyses indicated that (1) compared to persons at high levels of unprotected sex at follow-up (time 2), those who remained at a low level or decreased were more likely to be HIV positive; and (2) age, living alone, and having a stable source of income were also significant predictors of risk pattern. Risk pattern was not associated with type of risk reduction intervention (standard or enhanced) or with drug treatment (yes or no) between baseline and follow-up. Implications of the findings were discussed with respect to (a) the assessment of efficacy of AIDS prevention interventions and (b) the analysis of risk behavior changes over time.

Original languageEnglish (US)
Pages (from-to)635-648
Number of pages14
JournalJournal of Drug Issues
Volume26
Issue number3
DOIs
StatePublished - 1996

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Health(social science)
  • Public Health, Environmental and Occupational Health
  • Psychiatry and Mental health

Fingerprint Dive into the research topics of 'Assessing intervention efficacy: An example based on change profiles of unprotected sex among drug users'. Together they form a unique fingerprint.

Cite this