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Pre-ART loss to follow-up proportion within different age groups is shown in Table 3.
Of the 801 participants, we followed 796 (5 residents moved out of Kurabuchi) (follow-up proportion = 99.4%).
Three participants withdrew from the study and one could not be reached (follow-up proportion: 138 /153 = 90,1%).
With 140 women we will obtain a 95% confidence interval of +/− 5% points around an estimated follow-up proportion of 90%.
Only one study accounted for missing data in their analyses (item 8) [ 35] and only three studies had a follow-up proportion of more than 80% (item 9) [ 29, 32, 35].
For 2 studies the appropriate retention or follow-up proportion was below the recommended 90% [ 29, 30] and below 70% for three other studies (item 12) [ 13, 31, 33].
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It had high participation and follow-up proportions.
The Wilson method was used to calculate 95%% CIs for the baseline and the 9-week follow-up proportions of the different pain categories [ 30].
Comparisons of global and separate project components were made between initial implementation proportions with the follow-up proportions (i.e. comparison of implementation scores over time) using Wilcoxon tests (sustained implementation).
Furthermore, the effect of loss to follow-up on population-based survival estimates in developing county settings has been previously assessed and was found to be marginal, even when lost to follow-up proportions were high (30 40%) and nonrandom with regard to prognostic factors (Swaminathan et al, 2002; Sriamporn et al, 2004).
During the follow-up, the proportion of patients living at home who received formal care increased, while the proportion receiving additional care from other informal carers decreased.
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