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Table 4 Subgroup analysis: Effects of the NTUH-IMM model on outcome variables in late-elderly patients

From: Impact of integrated medication management program on medication errors in a medical center: an interrupted time series study

Outcome variables

Predictor variables

Intervention Ward

Control Ward

Coefficient of determination

Estimation (SE)

95% CI

P-value

Coefficient of determination

Estimation (SE)

95% CI

P-value

Mean number of ME reports

Intercept

0.74

0.45 (0.07)

(0.32 to 0.59)

< 0.001

0.35

0.53 (0.07)

(0.40 to 0.66)

< 0.001

Time

0.01 (0.00)

(0.00 to 0.01)

0.068

0.01 (0.00)

(0.00 to 0.01)

0.007

Intervention

0.71 (0.18)

(0.35 to 1.07)

< 0.001

−0.22 (0.19)

(− 0.59 to 0.15)

0.246

Time after intervention

0.02 (0.02)

(−0.03 to 0.06)

0.442

−0.02 (0.02)

(−0.07 to 0.03)

0.454

Mean number of daily IPs

Intercept

0.27

8.44 (0.30)

(7.85 to 9.03)

< 0.001

0.04

9.37 (0.31)

(8.77 to 9.98)

< 0.001

Time

0.05 (0.01)

(0.03 to 0.08)

< 0.001

0.02 (0.01)

(−0.01 to 0.04)

0.261

Intervention

−1.78 (0.65)

(−3.06 to −0.50)

0.009

−0.44 (0.67)

(−1.75 to 0.88)

0.521

Time after intervention

0.04 (0.08)

(−0.11 to 0.20)

0.594

0.03 (0.08)

(−0.13 to 0.19)

0.717

Mean number of daily SPMs

Intercept

0.33

2.59 (0.13)

(2.33 to 2.84)

< 0.001

0.06

2.66 (0.18)

(2.30 to 3.01)

< 0.001

Time

0.00 (0.01)

(−0.01 to 0.01)

0.712

0.01 (0.01))

(0.00 to 0.03)

0.136

Intervention

0.56 (0.35)

(−0.13 to 1.25)

0.119

−0.49 (0.39)

(−1.26 to 0.28)

0.217

Time after intervention

−0.01 (0.04)

(−0.10 to 0.07)

0.756

0.03 (0.05)

(−0.06 to 0.12)

0.542

Median daily medication cost

Intercept

0.24

16.58 (1.5)

(13.63 to 19.53)

< 0.001

0.08

21.43 (2.16)

(17.2 to 25.65)

< 0.001

Time

0.18 (0.06)

(0.06 to 0.31)

0.007

0.02 (0.09)

(−0.16 to 0.20)

0.838

Intervention

−5.90 (3.27)

(−12.31 to 0.51)

0.078

3.36 (4.69)

(−5.82 to 12.55)

0.476

Time after intervention

0.58 (0.40)

(−0.19 to 1.36)

0.148

0.09 (0.57)

(−1.02 to 1.20)

0.876

  1. SE Standard error, CI Confidence interval, ME Medication error, IPs Inpatient prescriptions, SPMs Self-prepared medications
  2. In this subgroup analysis, we restricted the admissions to patients aged ≥75 years. Segment linear regression was used to model the correlation between the longitudinal outcome variable and independent variables (time, intervention, and time after intervention), and the model was as follows: Yt = b0 + b1*Tt + b2*Xt + b3*XTt. The estimations of time, intervention, and time after intervention indicate the point estimations of b1, b2, and b3, respectively