Question · asked by 1 review
Doctor vs nurse or clinical officer: Lost to
- Population
- HIV infected patients on antiretroviral therapy
- Intervention
- Doctor
- Comparison
- nurse or clinical officer
- Outcome
- Lost to
It is very uncertain whether doctor changes lost to compared with nurse or clinical officer (very low certainty).
What each review found
Current versions onlyNo studies found 0 · 0%GRADE not reported 0 · 0%Very low 1 · 50%Low 0 · 0%Moderate 1 · 50%High 0 · 0%
| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Doctor vs nurse or clinical officer Lost to · HIV infected patients on antiretroviral therapy It is very uncertain whether doctor changes lost to compared with nurse or clinical officer (very low certainty). Task shifting from doctors to non‐doctors for initiation and maintenance of antiretroviral therapy (2014) · Cochrane Headline outcomes only | RR 0.34 [0.18, 0.66] | 1 study · 2772 participants | Very low |
Doctor vs nurse or clinical officer Lost to · HIV infected patients on antiretroviral therapy Doctor showed no clear difference in lost to compared with nurse or clinical officer (moderate certainty). Task shifting from doctors to non‐doctors for initiation and maintenance of antiretroviral therapy (2014) · Cochrane Headline outcomes only | RR 1.27 [0.92, 1.77] | 2 studies · 4332 participants | Moderate |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Task shifting from doctors to non‐doctors for initiation and maintenance of antiretroviral therapy 2014 · Cochrane Headline outcomes only | Not reported | Not extracted | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Doctor vs nurse or clinical officer · HIV‐infected patients · 1 review
- Doctor vs community health worker · HIV infected patients on antiretroviral therapy · 1 review
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.