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Table 1 Characteristics of study populations

From: Improving bedside dispensing services through early medication discharge planning: a pre-post intervention study

Characteristics

Pre-intervention

(n = 1097)

Post-intervention

(n = 817)

p value

Age, mean (SD)

55 (18.5)

52 (18.8)

0.020*

Gender, n (%)

   

 Male

638 (58.2)

462 (56.5)

0.481

 Female

459 (41.8)

355 (43.5)

Comorbidities, n (%)

   

 Cardiovascular

619 (56.4)

454 (55.6)

0.709

 Endocrine

405 (36.9)

261 (31.9)

0.024

 Renal

396 (36.1)

274 (33.5)

0.245

 Respiratory

214 (19.5)

151 (18.5)

0.572

 Neurological

80 (7.3)

52 (6.4)

0.428

 Rheumatological

78 (7.1)

66 (8.1)

0.427

 Infection

48 (4.4)

20 (2.4)

0.024

 Urological

37 (3.4)

16 (2.0)

0.062

 Psychiatric illnesses

29 (2.6)

13 (1.6)

0.120

 Malignancy

21 (1.9)

13 (1.6)

0.597

 Hematological

10 (0.9)

11 (1.3)

0.366

 Gastrointestinal

8 (0.7)

7 (0.9)

0.754

 Others

10 (0.9)

9 (1.1)

0.678

 Nil

54 (4.9)

63 (7.7)

0.012

Number of medications per prescription, mean (SD)

6.8 (3.9)

6.7 (3.9)

0.879*

Dispensing location, n (%)

   

 Bedside

450 (41)

445 (54.5)

 < 0.001

 Counter

647 (59)

372 (45.5)

  1. Categorical variables were analyzed using chi-square test while continuous variables were analyzed using independent samples t test, p < 0.05 were considered significant (bold). *p values from independent samples t test