Community professional‐led interventions vs no care: Recovery from probable PTSD in children (< 1 month post intervention) Defined by number of participants whose CRIES‐13 score was above cutoff for diagnosis of PTSD at baseline ‐ number of participants whose CRIES‐13 score was above cutoff for the ...
It is very uncertain whether community professional‐led interventions changes recovery from probable PTSD in children (< 1 month post… compared with no care (very low certainty).
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Community professional‐led interventions vs no care Recovery from probable PTSD in children (< 1 month post intervention) Defined by number of participants whose CRIES‐13 score was above cutoff for diagnosis of PTSD at baseline ‐ number of participants whose CRIES‐13 score was above cutoff for the ... · children/adolescents with post‐traumatic stress and related depressive/anxiety symptoms It is very uncertain whether community professional‐led interventions changes recovery from probable PTSD in children (< 1 month post… compared with no care (very low certainty). Primary‐level worker interventions for the care of people living with mental disorders and distress in low‐… (2021) · Cochrane Headline outcomes only | RR 3.93 [1.31, 11.8] | 1 study · 78 participants | Very low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Primary‐level worker interventions for the care of people living with mental disorders and distress in low‐ and middle‐income countries 2021 · Cochrane Headline outcomes only | Not reported | list not extracted yet | Not assessed |
Studies behind the findings
None of these reviews ties its included studies to this outcome in the data here. Cochrane reviews and reviews with headline outcomes only do not list their studies yet.
How reviews are matched to this question
Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.