Interventions for involving older patients with multi‐morbidity in decision‐making about their health care vs usual care: Health status (a) Patient‐reported high self‐rated health at 6 months after baseline CDC Healthy Days Measure (CDC 2000): dichotomised as low (1 to 3) and high (4 to 5)
It is very uncertain whether interventions for involving older patients with multi‐morbidity in… changes health status (a) Patient‐reported high self‐rated health at 6… compared with usual care (very low certainty).
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Interventions for involving older patients with multi‐morbidity in decision‐making about their health care vs usual care Health status (a) Patient‐reported high self‐rated health at 6 months after baseline CDC Healthy Days Measure (CDC 2000): dichotomised as low (1 to 3) and high (4 to 5) · older patients with multi‐morbidity It is very uncertain whether interventions for involving older patients with multi‐morbidity in… changes health status (a) Patient‐reported high self‐rated health at 6… compared with usual care (very low certainty). Interventions for involving older patients with multi‐morbidity in decision‐making during primary care… (2019) · Cochrane Headline outcomes only | RR 1.4 [0.36, 5.49] | 1 study · 41 participants | Very low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Interventions for involving older patients with multi‐morbidity in decision‐making during primary care consultations 2019 · 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.