From: Applications of Bayesian approach in modelling risk of malaria-related hospital mortality
Description | n (per cent)§ | |
---|---|---|
Binary variables | ||
Sex | 1 = female | 1683 (7.7) |
0 = otherwise | 2286 (7.6) | |
Day | 1 = if admitted over weekend | 2418 (7.5) |
0 = otherwise | 1492 (7.5) | |
Season | 1 = if admitted during dry season | 1128 (5.4) |
0 = otherwise | 1128 (5.4) | |
Distance | 1 = if distance travelled is ≤ 5 km | 1938 (7.4) |
0 = otherwise | 1999 (8.8) | |
Referral | 1 = if referred to hospital from networking PHC | 1895 (8.8) |
0 = otherwise | 1494 (6.1) | |
Metrical variable | Mean (SD‡) | |
age | Age of child | 30.5 (30.7) |
los | Length of hospital stay | 78.9 (264.1) |
ct | Calendar time | 44.8 (30.1) |
Spatial/heterogeneity variables | ||
v | 21 structured residential wards effects | |
u | 21 unstructured residential wards effects | |
h | 23 unstructured primary health care (PHC) facility effects | |
N | Total number of observations | 3969 |