Table 3.
Predictors of errors in the medication history at admission to hospital.
| Potential predictors | Number of patients with an error (%) | Odds ratio (95% CI) | |
|---|---|---|---|
| Number of drugs at admission | For each 1-drug increase | 313 (47) | 1.10 (1.06-1.14)* |
| Age | For each 10-yr increase | 313 (47) | 1.08 (0.92-1.27) |
| Ward | A | 250 (48) | Reference |
| B | 63 (43) | 0.82 (0.56-1.21) | |
| Sex | Male | 135 (43) | Reference |
| Female | 178 (50) | 1.33 (0.96-1.83) | |
| Type of care service before admission | Care home | 63 (47) | Reference |
| Own home with community care services | 74 (45) | 1.08 (0.67-1.75) | |
| Own home, no care service | 176 (48) | 1.58 (1.02-2.45)* | |
| Directly admitted to study ward a | Yes | 155 (47) | Reference |
| No; transferred from another ward | 131 (49) | 1.12 (0.80-1.57) | |
| Days until medication reconciliation | |||
| Number of days until the pharmacist's medication reconciliation a | 0-1 days | 168 (51) | Reference |
| 2-3 days | 101 (49) | 0.85 (0.59-1.23) | |
| 4-11 days | 24 (38) | 0.52 (0.30-0.91)* | |
Odds ratios were derived from a multivariable binary logistic regression model
* p < 0.05
aNumber (%) of patients is reported only for those with complete data. In the logistic regression model missing data was imputed