11 research outputs found

    Extended Cox models of factors associated with time to unintended pregnancy among OCP users.

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    <p>OCP: oral contraceptive pill; INJ: injectable contraception; IUD: intrauterine device; IMP: implant; BTL: bilateral tubal ligation; USD: United States Dollar; cHR: crude Hazard Ratio; aHR: adjusted Hazard Ratio.</p><p>Additional factors evaluated and not found to be significant in the univariate analysis included: Woman understands Nyanja, man understands Nyanja, who decides when/if you should have children (reported by woman), who decides when/if you should have children (reported by man), number of lifetime sexual partners reported by woman (per partner increase), age at first intercourse reported by woman (per year increase), Method use pattern (Always continued initial method selected versus switched methods at least once during followup), and the following time varying factors: heavy menstrual bleeding, irregular bleeding, dyspareunia, lower abdominal pain, bleeding between periods, cystitis/dysuria, vaginal discharge, acute genital ulcer<b>.</b></p

    Ndola: Average number of couples per month that received weekday couples voluntary counseling and testing in clinics with at least two years of data.

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    <p>Blue bar represents CVCT provided by on-duty government counselors in the ANC clinics; orange bars represent CVCT provided by on duty government counselors in the VCT department; grey bar represents weekday CVCT provided by a ZEHRP-sponsored counselor. Grey stars indicate clinic-years when no ZEHRP-sponsored staff provided CVCT services. Blue stars indicate clinics in which logbooks for data extraction were not available for that year.</p

    Lusaka: Average number of couples per month that received weekday couples voluntary counseling and testing in clinics with a monthly average of ≥40 couples in at least one year.

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    <p>Blue bar represents CVCT provided by on-duty government counselors in the ANC clinics; orange bars represent CVCT provided by on duty government counselors in the VCT department; grey bar represents weekday CVCT provided by a ZEHRP-sponsored counselor. Grey stars indicate clinic-years when no ZEHRP-sponsored staff provided CVCT services. Blue and orange stars indicate clinics in which logbooks for data extraction were not available for that year.</p

    Enrollment and HIV incidence among at-risk volunteers enrolled for HIV prevention preparatory studies stratified by CRC and, where appropriate, sex.

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    <p><sup>*</sup> IAVI support initiated in 2004</p><p><sup>**</sup> p value for the incident rate ratio calculator comparing HIV incidence by sex, where study populations are stratified by sex</p><p><sup>***</sup> For additional details on recruitment, demographics, follow up and earlier reports of HIV incidence. With the exception of Feldblum 2012, all the data above and in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0116100#pone.0116100.t003" target="_blank">Table 3</a> represents new analyses and additional follow up time.</p><p><sup>▪</sup> Cohort enrollment currently open</p><p><sup>▪▪</sup> Recruited women from 16 years old; the only cohort to recruit <18 year olds</p><p><sup>∞</sup> HIV positive partner in the DC cohort is on ART, too few to analyze by volunteer sex (87 negative men, 65 women)</p><p>PY: Person years, IQR: Interquartile range, CI: Confidence Interval, CRC: Clinical Research Center, DC: Discordant Couple (reported sex applies to enrolled HIV uninfected volunteers, HIV infected volunteers were all ART-naive except where noted), NA: reference not available, data not previously published</p><p>Enrollment and HIV incidence among at-risk volunteers enrolled for HIV prevention preparatory studies stratified by CRC and, where appropriate, sex.</p

    HIV prevalence and multivariate predictors of prevalent HIV infection in Masaka, Kilifi and Nairobi.

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    <p>PR: Prevalence Ratio, CI: Confidence Interval, ref: reference group, NA: data were not collected at this CRC, NS: data were not significant predictors of prevalent HIV in multivariate modeling</p><p><sup>*</sup> In Masaka condom use was measured with the question: Have you and your partner ever used a condom (yes/no), and if so, how often do you use a condom (Always, more than half of the time, about half of the time, rarely or less than half of the time)? In Kilifi: In the past 12 months, have you used a condom never, sometimes or always during sex? In Kangemi: Have you used a condom before (yes/no)?</p><p><sup>**</sup> Due to collinearity in the covariates, model failed to converge with discharge and ulcers considered together</p><p><sup>***</sup> In Kangemi, all volunteers were sexually active, but not all volunteers were sexually active in the past 7 days</p><p>HIV prevalence and multivariate predictors of prevalent HIV infection in Masaka, Kilifi and Nairobi.</p
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