Table 3.
Quality assessment of trials of the evidence for IRS to prevent malaria deaths in children <5 years old
Quality assessment |
Summary findings |
|||||||||
---|---|---|---|---|---|---|---|---|---|---|
Directness |
Intervention |
Control |
||||||||
No. of studies | Design | Limitations | Consistency | Generalizability to population of interest | Generalizability to intervention of interest | No. of events | Denominator | No. of events | Denominator | Pooled RR (95% CI) |
ACCM: low outcome-specific quality | ||||||||||
2 | Before/after | Serious | χ2 for heterogeneity (1 df) = 11.8 | High | High | 190 | 2000 | 373 | 2000 | 0.53a (0.40–0.71) |
All-cause infant mortality: low outcome-specific quality | ||||||||||
3 | Before-after | Serious | χ2 for heterogeneity (2 df) = 10.2 | High | High | 235 | 9542 | 477 | 9080 | 0.47a (0.40–0.54) |
Uncomplicated malaria incidence: low outcome-specific quality | ||||||||||
3 | Before/after | Serious | χ2 for heterogeneity (2 df) > 100 | High | High | Unknown | Unknown | Unknown | Unknown | 0.25a (0.03–2.23) |
Prevalence of malaria parasite infection: low outcome-specific quality | ||||||||||
5 | Before/after | Serious | χ2 for heterogeneity (4 df) > 100 | High | High | Unknown | Unknown | Unknown | Unknown | 0.16a (0.03–0.94) |
A limitation = serious means that there is a substantial threat of bias based on the study design used.
aRandom effects model.