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- To compare patient satisfaction with care between both intervention arms.
In order to test for differences between both intervention arms, in the effects of IDCT use on patient outcomes, multiple linear and logistic regression models were used, whenever appropriate.
After adjusting for gender, age group, wet and dry seasons, and clustering, there was still a statistically significant reduction in all cause mortality between both intervention arms and the control arm (AAQ: reduction 30%, RR = 0.70, 95% CI = 0.53 0.92, P = 0.011 and AAQ+AMX: reduction 44%, RR = 0.56, 95% CI = 0.41 0.76, P = 0.011).
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In both intervention arms, the majority of participants were classified as working in professional occupations; there were no significant differences between intervention arms in the proportion of participants employed in professional, white collar, blue collar or other occupation categories (p = .639).639
It seems unlikely that differences in surgical interventions between treatment arms - a choice of breast conserving surgery of mastectomy - would have influenced long-term survival[ 13- 15].
- The frequency of medical contacts with healthcare services, both psychotherapeutic and in other medical fields will be compared between the intervention arms of the study and the control group.
The primary statistical tests were the prespecified contrasts between the intervention arms at each time point.
There were differences between the intervention arms on impairment during last sex.
A Wilcoxon Rank Sum test was used to compare median CRP levels between the intervention arms at baseline and post-intervention.
After the 12-week intervention, there was a small and non-significant difference in change in CRP between the intervention arms (p = 0.14) (Table 2).
This trial found no difference between the intervention arms in the proportion of cases who were still unwell at follow-up (2095 participants, one trial, Analysis 1.2).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com