Table 5.

Logistic regression of predictors of deficiencies in medication-taking ability.

	Univariate Analysis a,b				Multiple Logistic Regression e (n = 310)
	Yes c	No d	p	OR [95% CI]	OR [95% CI]
Age (mean [SD])	n = 58	n = 336
	83.2 [5.22]	81.5 [4.91]	0.019	1.07 [1.01–1.13]	1.08 [1.02–1.15]
Number of chronic diseases (mean [SD])	n = 57	n = 315
	2.7 [1.78]	1.9 [1.55]	0.002	1.30 [1.10–1.53]	1.28 [1.07–1.54]
Number of prescribed medicines at discharge (mean [SD])	n = 58	n = 336
	10.5 [3.93]	9.1 [3.24]	0.004	1.12 [1.04–1.21]	/
Gender	n = 58	n = 336
Men (%)	34.5	48.4	0.045	0.55 [0.31–0.99]	/
Women (%)	65.5	51.2		Ref.
Help needed to reside in own home (%)	n = 58	n = 332
	82.8	58.7	0.001	3.37 [1.65–6.89]	3.83 [1.54–9.52]
Type of hospitalization	n = 58	n = 336
Unexpected hospitalization (%)	74.1	59.2	0.033	1.97 [1.06–3.69]	/
Planned hospitalization (%)	25.9	40.8		Ref.
During hospitalization, patient made own decisions about taking medicines, (%)	n = 49	n = 280
	32.7	57.5	0.002	0.36 [0.19–0.68]	0.38 [0.19–0.75]
Patient was …. in hospital to manage medication at home	n = 57	n = 333
Not/insufficiently prepared (%)	70.2	51.1	0.009	2.26 [1.23–4.14]	/
Sufficiently prepared (%)	29.8	48.9		Ref.

Note: CI = confidence interval; ref = reference, OR = odds ratio; / = these variables were not included in the model. ^a All patient and medication management characteristics were studied in univariate analysis. Only significant variables were presented in this table. ^b Deviating sample size due to missing data (missing completely at random) [29]. ^c Patients with deficiencies in medication-taking ability after discharge. ^d Patients without deficiencies in medication-taking ability after discharge. ^e Multiple logistic regression analysis: Nagelkerke R²: 0.187, p < 0.001. colored background: This ensures uniformity as deviating n-values have a colored background.