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

Hellström et al. BMC Clinical Pharmacology 2012 12:9   doi:10.1186/1472-6904-12-9

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