Table 2.
Pre-AMT (n = 160) | AMT (n = 1092) | Non-AMT (n = 1027) | Difference between AMT and Pre-AMT p-value |
Difference between AMT and non-AMT p-value |
|
---|---|---|---|---|---|
Early Discharges, n (%) | 15 (9.38) | 195 (17.86) | 97 (9.44) | p = 0.01 | p < 0.001* |
3-month Re-admission of Early Dischargers, n (%) | 0 (0) | 29 (15.8) | 11 (11.34) | p < 0.001* | p = 0.23 |
3-month Unplanned Re-admissions, n (%) | 43 (26.88) | 252 (23.08) | 247 (24.05) | p = 0.29 | p = 0.60 |
Placement in Tier 1 Wards, n (%) | 68 (42.5) | 611 (55.95) | 443 (43.14) | p < 0.001* | p < 0.001* |
Placement in Tier 2 Wards, n (%) | 54 (33.75) | 226 (20.70) | 375 (36.51) | p < 0.001* | p < 0.001* |
Placement in Tier 3 Wards, n (%) | 38 (23.75) | 60 (5.49) | 209 (20.35) | p < 0.001* | p < 0.001* |
LOS in General Ward (days), mean (95% CI); median (IQR) | 4 (2, 6) | 3 (1, 7) | 4 (2, 7) | p = 0.15a | p < 0.001a* |
Bill size (S$) median (IQR) |
2838.23 (1607.58, 5162.5) | 2762.62 (1179.24, 5470.60) | 3087.82 (1590.82, 5757.32) | p = 0.38a | p < 0.001a* |
We applied a Bonferroni correction to compensate for Type 1 error in multiple pairwise comparisons. To maintain an overall α = 0.05 to reject, the Bonferroni correction for each individual hypothesis is α = 0.00625. Base on this, our test statistic is significant for 3-month readmission of early discharges, placement in tier 1,2 and 3 wards (AMT v Pre-AMT); early discharges, placement in tier 1, 2 and 3 wards, and bill size (AMT v non-AMT)
acomparison of original values using Mann Whitney U test
*significant after Bonferroni correction