Question · asked by 1 review

Primary health professional‐led or collaborative care vs specialist‐led care: Relapse of severe mental disorder (immediately post intervention) Defined by re‐appearance of symptoms or worsening of symptoms necessitating adjustment of medicationa; Li 2002; based on 1 item scoring ≥ 5 or 2 items scoring ≥ 4 in items 4, 7, 11,...

It is very uncertain whether primary health professional‐led or collaborative care changes relapse of severe mental disorder (immediately post intervention)… compared with specialist‐led care (very low certainty).

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
Primary health professional‐led or collaborative care vs specialist‐led care
Relapse of severe mental disorder (immediately post intervention) Defined by re‐appearance of symptoms or worsening of symptoms necessitating adjustment of medicationa; Li 2002; based on 1 item scoring ≥ 5 or 2 items scoring ≥ 4 in items 4, 7, 11,... · people with severe mental disorder
It is very uncertain whether primary health professional‐led or collaborative care changes relapse of severe mental disorder (immediately post intervention)… compared with specialist‐led 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 0.3 [0.16, 0.55]4 studies · 492 participantsVery low

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 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 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.