2017
DOI: 10.1186/s13063-017-1924-5
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The effectiveness of a Supported Self-management task-shifting intervention for adult depression in Vietnam communities: study protocol for a randomized controlled trial

Abstract: BackgroundDepressive disorders are one of the leading causes of disease and disability worldwide. In Vietnam, although epidemiological evidence suggests that depression rates are on par with global averages, services for depression are very limited. In a feasibility study that was implemented from 2013 to 2015, we found that a Supported Self-management (SSM) intervention showed promising results for adults with depression in the community in Vietnam.This paper describes the Mental Health in Adults and Children… Show more

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Cited by 17 publications
(16 citation statements)
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“…The sample size required for this trial was calculated [9]. In summary, it was assumed that each commune would recruit an average of eight participants with a follow-up period of 2 months after baseline and an effect size of 0.4 for the SRQ-20, where the effect size was estimated as the ratio of the minimum clinically important difference divided by the standard deviation at baseline across all study participants.…”
Section: Discussionmentioning
confidence: 99%
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“…The sample size required for this trial was calculated [9]. In summary, it was assumed that each commune would recruit an average of eight participants with a follow-up period of 2 months after baseline and an effect size of 0.4 for the SRQ-20, where the effect size was estimated as the ratio of the minimum clinically important difference divided by the standard deviation at baseline across all study participants.…”
Section: Discussionmentioning
confidence: 99%
“…This primary analysis uses Period 1 data only and has the advantage of being unaffected by the higher amounts of missing data in Period 2. The analysis was based on the individual patient-level data, rather than on the commune-level summarized data as tentatively suggested in Murphy et al 2017 [9]. The individual-level analysis had the advantages of exploiting the full richness of the individual-level data and utilizing the individuallevel covariates and observed outcome values to account for missing outcome values.…”
Section: Discussionmentioning
confidence: 99%
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