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  1. Home
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Browsing by Author "Gafos, Mitzy"

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    A Mixed Methods and Triangulation Model for Increasing the Accuracy of Adherence and Sexual Behaviour Data: The Microbicides Development Programme
    (PLoS ONE, 2010) Pool, Robert; Montgomery, Catherine M.; Morar, Neetha S.; Mweemba, Oliver; Ssali, Agnes; Gafos, Mitzy; Lees, Shelley; Stadler, Jonathan; Crook, Angela; Nunn, Andrew; Hayes, Richard; McCormack, Sheena
    The collection of accurate data on adherence and sexual behaviour is crucial in microbicide (and other HIVrelated) research. In the absence of a ‘‘gold standard’’ the collection of such data relies largely on participant self-reporting. After reviewing available methods, this paper describes a mixed method/triangulation model for generating more accurate data on adherence and sexual behaviour in a multi-centre vaginal microbicide clinical trial. In a companion paper some of the results from this model are presented. Methodology/Principal Findings: Data were collected from a random subsample of 725 women (7.7% of the trial population) using structured interviews, coital diaries, in-depth interviews, counting returned gel applicators, focus group discussions, and ethnography. The core of the model was a customised, semi-structured in-depth interview. There were two levels of triangulation: first, discrepancies between data from the questionnaires, diaries, in-depth interviews and applicator returns were identified, discussed with participants and, to a large extent, resolved; second, results from individual participants were related to more general data emerging from the focus group discussions and ethnography. A democratic and equitable collaboration between clinical trialists and qualitative social scientists facilitated the success of the model, as did the preparatory studies preceding the trial. The process revealed some of the underlying assumptions and routinised practices in ‘‘clinical trial culture’’ that are potentially detrimental to the collection of accurate data, as well as some of the shortcomings of large qualitative studies, and pointed to some potential solutions

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