Table 1. Hospital infrastructure and personnel characteristics of the 24 participant facilities a bivariate comparisons performed by linear regression models with clustering at the matched pair level and robust standard errors.
| Variables | Baseline | ||
|---|---|---|---|
| Control n = 12 | Treatment n = 12 | p-valuea | |
| Health professionals | Mean (SD) | Mean (S.D) | |
| Total doctors | 79.4 (33.8) | 70.1 (49.1) | 0.416 |
| Total nurses | 155.3 (78.5) | 133.9 (62.8) | 0.262 |
| General Practitioners | 39.0 (21.3) | 28.8 (15.0) | 0.026 |
| Obstetricians | 10.4 (5.09) | 9.7 (6.0) | 0.699 |
| Anesthesiologists | 9.3 (4.1) | 8.0 (4.7) | 0.419 |
| Pediatricians | 9.4 (4.5) | 7.3 (6.3) | 0.191 |
| Surgeons | 5.8 (3.9) | 5.6 (3.9) | 0.873 |
| Neonatologists | 1.1 (2.4) | 1.2 (2.3) | 0.881 |
| Internists | 3.0 (2.3) | 3.2 (4.4) | 0.878 |
| Nurses | 150.2 (76.7) | 127.8 (59.0) | 0.232 |
| Obstetric nurses | 5.2 (5.8) | 8.1 (7.5) | 0374 |
| Midwifes | 0.0 (0.0) | 0.4 (1.4) | 0.339 |
| Facility Infrastructure | % | % | |
| Blood transfusion capability | 50 | 58 | 0.594 |
| Neonatal Intensive Care Unit | 83 | 42 | 0.019* |
| Adult Intensive Care Unit | 50 | 25 | 0.200 |
| Obstetric hemorrhage algorithm | 45 | 58 | 0.584 |
| Preeclampsia/ eclampsia algorithm | 58 | 67 | 0.681 |
| Neonatal resuscitation algorithm | 55 | 45 | 0.668 |
| Official Mexican Law for birth attendance (NOM007) | 58 | 64 | 0.834 |
| Obstetric emergencies manual | 75 | 55 | 0.380 |
| Obstetric emergency triage system | 50 | 50 | 1 |
| Number of referral hospitals | 3.71 | 4 | 0.822 |
| Distance to most used referral hospital (Km) | 54.17 | 89.33 | 0.351 |
| Facility Equipment | % | % | |
| Ambulance | 75 | 92 | 0.349 |
| Laboratory | 100 | 100 | 1 |
| Ultrasound | 100 | 100 | 1 |
| Doppler | 64 | 67 | 0.891 |
| Uterine manual vacuum aspiration (AMEU) | 50 | 75 | 0.200 |
a Bivariate comparisons performed by linear regression models with clustering at the matched pair level and robust standard errors.
* p-value <0.05