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Clinic

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Submitted By pdemirer
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In the article written by Fournier et al. (2009), researchers tried to examine many different factors affecting the treatment outcome, both regardless of treatment method and compared to the treatment method. They categorized the variables as prescriptive and prognostic ones, each yields different type of prediction in the treatment process. They used two efficacious treatment methods comparatively though, cognitive therapy and antidepressant medications. Results and problems will be told below. Efficacy of both treatments is somewhow affected by patient’s characteristics and condition as we know for sure. A pretreatment variable can come into the picture in two different ways: either it affects the outcome regardless of the treatment method, acts as a prognostic variable; or it responds differently to different treatment models, as a prescriptive variable. The effects of all potential predictors are examined in this study under five major domains which have different seperate variables inside. In their data analytic strategy, the researchers looked at the interaction between predictor and treatment. In results, they found that chronicity, age and intelligence are prognostic variables whereas marital status, unemployment status and number of life events experienced are prescriptive variables. The difference between treatment methods came out in prescriptive ones: cognitive therapy was more efficacious than medication for those who experience many events, are nonmarried and unemployed. Each of these variables’ effects were shown significant. The first thought come my mind while reading the procedure was whether researchers chose to look the effects of variables seperately, or they were just interested in the interaction. I think there can be some interaction among predictor variables which was omitted in order not to confuse the situation more.

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