Browsing by Author "Ao, Trong"

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    Vaginal practices diary: development of a pictorial data collection tool for sensitive behavioural data
    (Sexually transmitted diseases, 2012) Francis, Suzanna C.; Lees, Shelley S.; Andrew, Bahati; Zalwango, Flavia; Vandepitte, Judith; Ao, Trong; Baisley, Kathy; Kapiga, Saidi; Grosskurth, Heiner; Hayes, Richard
    Intravaginal practices (IVP) are highly prevalent behaviours among women at increased risk for HIV in sub-Saharan Africa. IVP data collected by face-to-face interviews (FTFI) may be subject to recall or social desirability bias. Daily self-administered diaries may help to decrease bias associated with FTFI. IVP data from a diary and FTFI were compared during a multi-site microbicide feasibility study in Tanzania and Uganda. Methods—Two hundred women were recruited and given diaries to complete daily for six weeks. Data obtained in the diary were compared to data from the FTFI during clinical visits to assess the consistency of reporting of IVP between the data collection methods. Results—In Tanzania, proportions of overall vaginal cleansing and insertion were similar for the FTFI and the diary, but the diary indicated higher frequency of cleansing and use of a cloth or other applicator. In Uganda, proportions of overall vaginal cleansing were similar for FTFI and the diary, but the diary indicated higher frequency of cleansing, use of soaps and cloths for cleansing, and insertion. Most of the inconsistencies between the two data collection methods were from reported frequency of IVP or IVP related to sexual intercourse. Conclusions—The comparison of FTFI and the vaginal practice diary suggests that recall of IVP may be improved by a daily self-administered diary, especially for frequency of cleansing and cleansing in proximity to sexual intercourse. The vaginal practices diary can provide a more detailed understanding of IVP and aid in the interpretation of findings from FTFI. Vaginal practices diary: development of a pictorial data collection tool for sensitive behavioural data.