26 research outputs found

    Estimation of determinants of preferences for new HIV prevention technologies and their attributes with interactions.

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    <p>is significant at a P-value<0.1. ** is significant at a P-value<0.05. *** is significant at a P-value<0.01.</p><p>retrieved coefficient by swapping the omitted category.</p

    Switching responses by women's characteristics.

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    <p>The original variable was ordinal in terms of level of education attended and completed. This was transformed into an average number of years in education to obtain a continuous variable.</p

    Relative preferences for products and their characteristics.

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    <p>Note: All full product preferences are based on free distribution. Best profiles are specified as microbicides and the diaphragm able to be used in secret and with 95% protection against pregnancy and HIV for all products. Worst profiles are specified as not being able to be used in secret and the lowest product specific effectiveness included in the experiment (i.e. prevention effectiveness: 75% for the diaphragm and female condom and 0% for microbicides; for HIV prevention effectiveness: 35% for the diaphragm and microbicide and 75% for the female condom).</p

    DCE physical attributes and levels.

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    <p>MCD: microbicide; DGM: Diaphragm; FC: Female condom; *Depending on what they did the last time they had sex, a card was placed over the attributes with the appropriate attribute levels for either using a male condom with its attributes, or no protection.</p

    Predicted uptake of microbicides among women who had and had not used a condom.

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    <p><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0083193#pone-0083193-g003" target="_blank">Figure 3</a> shows the probability of switching to a microbicide with different levels of HIV prevention effectiveness, pregnancy prevention effectiveness and price, according to whether she had used a condom or not in her last sex-act and predicted population level uptake. The choice is between the microbicide and a free female condom (with 95% protection against HIV and pregnancy), or neither. The light bars on the left are the probabilities for women who reported having used a condom in their last sex-act, on the darker bars on the right are the probabilities for women who had not used a condom in their last sex-act, the vertical line shows the predicted population level. The base case is modelled close to the CAPRISA 004 trial effectiveness results (54% effective against HIV and no pregnancy effectiveness). On the very left, it can be seen that an expensive microbicide with low prevention effectiveness would have a low probability of being chosen. As the product characteristics improve (towards the right of the figure), women find the product becomes more and more attractive relative to the female condom or what they did last time.</p

    Sample descriptive statistics.

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    <p>The denominator of the proportions for ‘This Sample’ are based on the full sample, ranging from 1012 to 1017 to account for some missing responses.** The risk question was posed as: “Do you consider yourself at high medium, low, or no risk of getting HIV or becoming re-infected?” No further quantification was provided and therefore was the individuals subjective valuation of these categories. Risk is an ordinal variable that is used as a cardinal measure in the model estimates, valued as 0 for ‘No risk’ to 3 for ‘High risk’.</p

    Proposed domains of Community Mobilization and their framing in related disciplines.

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    <p>* Note: While the role of outside agents (community empowerment) can be considered a resource and political opportunity (social movements), the presence of an outside group seeking partnerships, bringing funding, or providing technical assistance is implicit in the community health and HIV prevention framework, and is not included as a domain of community mobilization. </p
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