Question · asked by 1 review

ANY FAMILY BASED INTERVENTIONS (>5 sessions) vs usual care: Family outcome: Burden ‐ not improved/worse (objective burden related to self‐sufficiency)

It is very uncertain whether ANY FAMILY BASED INTERVENTIONS (>5 sessions) changes family outcome: Burden ‐ not improved/worse (objective burden… compared with STANDARD CARE (very low certainty).

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
ANY FAMILY BASED INTERVENTIONS (>5 sessions) vs STANDARD CARE
Family outcome: Burden ‐ not improved/worse (objective burden related to self‐sufficiency) · patients with schizophrenia
It is very uncertain whether ANY FAMILY BASED INTERVENTIONS (>5 sessions) changes family outcome: Burden ‐ not improved/worse (objective burden… compared with STANDARD CARE (very low certainty).
Family intervention for schizophrenia (2010) · Cochrane Headline outcomes only
RR 0.53 [0.21, 1.37]1 study · 51 participantsVery low
ANY FAMILY BASED INTERVENTIONS (>5 sessions) vs STANDARD CARE
Family outcome: Burden ‐ not improved/worse (objective burden related to self‐sufficiency) · patients with schizophrenia
It is very uncertain whether ANY FAMILY BASED INTERVENTIONS (>5 sessions) changes family outcome: Burden ‐ not improved/worse (objective burden… compared with STANDARD CARE (very low certainty).
Family intervention for schizophrenia (2006) · Cochrane Headline outcomes onlyearlier version CD000088.PUB2, superseded
RR 0.53 [0.21, 1.37]1 study · 51 participantsVery low

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Family intervention for schizophrenia
2010 · Cochrane Headline outcomes only
Not reportedlist not extracted yetNot 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.