Table 3 Meta-regression analysis of risk factors associated with HAIs in Africa
Risk factor | Author/year | Pooled AOR (95% CI) | Overall effect size | P value | I2 (%) |
|---|---|---|---|---|---|
Duration of hospital stay | Ahoyo et al., 2014 [4] Chiguer et al., 2018 [28] Labi et al., 2019 [23] | 2.85 (0.92–3.72) | 1.81 | 0.07 | 98 |
Surgery during admission | Chiguer et al., 2018 [28] Labi et al., 2019 [23] | 3.38 (0.83–13.88) | 1.69 | 0.09 | 86 |
Urinary catheter | Labi et al., 2019 [23] Razine et al., 2012 [24] | 4.07 (0.75–21.99) | 1.63 | 0.10 | 95 |
Presence of peripheral vascular catheter | Ayed et al., 2019 [26] Ketata et al., 2021 [29] Labi et al., 2019 [23] Mahjoub et al., 2015 [25] | 2.87 (1.54–5.36) | 3.31 | 0.0009 | 44 |
Admission into surgical department/ward | Labi et al., 2019 [23] Yallew et al., 2016 [31] | 2.19 (1.41–3.42) | 3.48 | 0.0005 | 52 |
McCabe score (ultimately fatal disease) | Chiguer et al., 2018 [28] Ketata et al., 2021 [29] Razine et al., 2012 [24] | 2.09 (1.35–3.24) | 3.32 | 0.0009 | 0 |
Diabetes mellitus | Ayed et al., 2019 [26] Ketata et al., 2021 [29] | 2.46 (1.45–4.17) | 3.35 | 0.0008 | 0 |
Recent hospitalization | Jamoussi et al., 2018 [27] Ketata et al., 2021 [29] | 4.17 (1.85–9.41) | 3.44 | 0.0006 | 0 |