Any Psychosocial intervention plus pharm vs psychosocial interventions: Harmful alcohol use
It is very uncertain whether pharmacologic intervention along with psychosocial intervention changes harmful alcohol use (dichotomous) compared with psychosocial intervention alone (very low certainty).
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Pharmacologic intervention along with psychosocial intervention vs psychosocial intervention alone Harmful alcohol use (continuous) · individuals with alcohol use disorder Psychosocial and pharmacologic interventions to reduce harmful alcohol use in low‐ and middle‐income countries (2023) · Cochrane Headline outcomes only | no estimate extracted | 4 studies · 475 participants | Low |
Pharmacologic intervention along with psychosocial intervention vs psychosocial intervention alone Harmful alcohol use (dichotomous) · individuals with alcohol use disorder It is very uncertain whether pharmacologic intervention along with psychosocial intervention changes harmful alcohol use (dichotomous) compared with psychosocial intervention alone (very low certainty). Psychosocial and pharmacologic interventions to reduce harmful alcohol use in low‐ and middle‐income countries (2023) · Cochrane Headline outcomes only | RR 0.62 [0.16, 2.47] | 1 study · 102 participants | Very low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Psychosocial and pharmacologic interventions to reduce harmful alcohol use in low‐ and middle‐income countries 2023 · 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.