Improving safer sex measures through the inclusion of relationship and partner characteristics.

This article describes the development of a safer sex algorithm, which considers the characteristics of a woman's relationship and the HIV risk profile of herself and her primary partner. A sample of 306 low-income, predominantly African American women was recruited to participate in a study of the...

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Publicado en:AIDS Care Vol. 14; no. 6; pp. 827 - 838
Autores principales: Miner MH, Robinson BE, Hoffman L, Albright CL, Bockting WO
Formato: algorithm research Journal Article
Publicado: Taylor & Francis Ltd Dec2002
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Taylor & Francis Ltd
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        atl: Improving safer sex measures through the inclusion of relationship and partner characteristics.
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          Miner MH
          Robinson BE
          Hoffman L
          Albright CL
          Bockting WO
        affil: Program in Human Sexuality, University of Minnesota, 1300 South Second St, Suite 180, Minneapolis, MN 55454; mminer@famprac.umn.edu
      sug:
        subj:
          Algorithms
          HIV Infections Prevention and Control
          Safe Sex
          Sexual Partners Psychosocial Factors
          Adolescence
          Adult
          Aged
          Descriptive Statistics
          Female
          HIV Infections Epidemiology
          HIV Infections Transmission
          Interpersonal Relations
          Middle Age
          Questionnaires
          Risk Assessment
          Structured Interview
          T-Tests
          Funding Source
          Human
          Adolescent: 13-18 years
          Adult: 19-44 years
          Aged: 65+ years
          Middle Aged: 45-64 years
          Female
      ab: This article describes the development of a safer sex algorithm, which considers the characteristics of a woman's relationship and the HIV risk profile of herself and her primary partner. A sample of 306 low-income, predominantly African American women was recruited to participate in a study of the effectiveness of a sexual health seminar. These women were interviewed three times, at one month prior to seminar administration, three months after the seminar and again nine months after the seminar. Data from these women indicate that using an algorithm that considers the probability of HIV transmission between partners decreases the measured prevalence of unsafe sex in this population by about 17% and lowers the estimate of the average number of unsafe incidents by about four incidents in three months. The algorithm results in measures with adequate levels of temporal stability, which are similar to the more commonly used measure, vaginal or anal intercourse without a condom.
      pubtype: Academic Journal
      doctype:
        algorithm
        research
        Journal Article
      ougenre: Article
    language: English
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