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Potential determinants of the knowledge of medications were explored using both univariate and multivariate logistic regression models.
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Lastly, interactions between randomisation group and change in medication were explored and the main analysis was also repeated in only the routine care group.
Potential predictors of a patient's interest in receiving text message reminders of antipsychotic medication were explored in a series of simple logistic regression models.
Before the interview with patients, their knowledge and adherence to their prescribed medication was explored.
An escalating schedule of once-daily (OD) BIBW 2992 for 14 days followed by 14 days off medication was explored.
In the sensitivity analysis, cardio-protective medication was explored as a continuous variable and results did not differ; this suggests that collapsing medication change into an ordered categorical variable did not obscure a small change.
Self-medication behaviours were explored by a standardized questionnaire that had been previously built, implemented and tested in one centre [ 10] (see electronic supplementary material).
Patterns or associations with other medications taken and/or other health conditions were explored, and none were identified.
To explore if medication use may be impacting on our findings, respective associations were explored between daytime napping and type of medication used.
Influence of medication on cortisol response, CPRS-R/CTRS-R-ratings and FMSS-ratings were explored using Pearson correlations.
Plausible interactions were explored.
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