Example 1

Example 3

Example 2

Methodology: This study describes the effectiveness of PCIT with 136 biological parent-child dyads in which 66.9% (N= 91) of the children had been maltreated. Of the 91 maltreated children, 64.8% (N= 59) of the parents had maltreated their children, and were thus considered to be at high risk of repeating the abuse.

(Source: Susan G. Timmer, Anthony J. Urquiza, Nancy M. Zebell, Jean M. McGrath. Parent-Child Interaction Therapy: Application to maltreating parent-child dyads. Child Abuse & Neglect 29 (2005) 825–842)

In this study, data was used from 350 patients (175 in each arm) treated using the Glucontrol protocol at CHU de Liege, Belgium, between March 2004 and April 2005. Thus, the Glucontrol data used in this study is from only one centre out of the full study [26]. The selection criteria for patients used in this analysis to generate virtual patients with sufficient data density [15,16,27] are shown in Figure 1. Patients were eliminated from the analysis if they received no insulin for their entire stay (per protocol), had less than 5 BG measurements or received little or no (recorded) carbohydrate administration (in any form) for more than 48 hours of their stay.

(Source: Chase J.G. et al. Validation of a model-based virtual trials method for tight glycemic control in intensive care. BioMedical Engineering OnLine 2010, 9: 84, http://www.biomedical-engineering-online.com)

The Results Section

In this section you should present evidence that your study successfully set up the conditions for testing your hypotheses or answering your questions. The page length of this section is set by the amount and types of data to be reported. Continue to be concise, using figures and tables, if appropriate, to present results most effectively. Do not draw conclusions in the Results section, reserve data interpretation for the Discussion section.

Table 1 shows the results of the analyses for determining predictors of early termination from treatment. Coefficients presented in Table 1 are odds ratios. They reflect the degree to which the odds of an event occurring (i.e., dropping out of treatment) are increased by each unit increase in the predictor variable. For example, in Model 1, when only demographic variables are entered into the model, African American children were twice as likely as Caucasian children to end treatment early. When measures of psychological functioning were added in Model 2, higher levels of psychological symptoms in parents and not completing the measure of parents’ psychological functioning (SCL-90R) predicted early treatment termination. Children’s severity of behavior problems did not significantly predict attrition. However, when interaction terms between children’s maltreatment history and measures of psychological functioning were added in Model 3, we found that the likelihood that children with severe behavior problems would stay in treatment varied by the their history of maltreatment.

(Source: Susan G. Timmer, Anthony J. Urquiza, Nancy M. Zebell, Jean M. McGrath. Parent-Child Interaction Therapy: Application to maltreating parent-child dyads. Child Abuse & Neglect 29 (2005) 825–842)

Дата добавления: 2014-10-31