Table 3 Propensity score (PS)-adjusted and conventional multivariable analyses of factors associated with 30-day all-cause mortality.

From: Mortality Benefits of Antibiotic Computerised Decision Support System: Modifying Effects of Age

Factor

Model 1

Model 2

PSa-adjusted multivariable analysis

Conventional multivariable analysis

PSa-adjusted multivariable analysis

Conventional multivariable analysis

OR

(95% CI)

P value

OR

(95% CI)

P value

OR

(95% CI)

P value

OR

(95% CI)

P value

Patient Factors

 Age >65 years

1.46

(1.07–2.00)

0.0179

1.46

(1.06–2.01)

0.0218

1.41

(1.02–1.95)

0.0353

1.43

(1.03–1.98)

0.0304

 Male gender

1.19

(0.931.51)

0.1616

1.16

(0.911.49)

0.2179

1.19

(0.941.52)

0.1540

1.18

(0.921.51)

0.1884

 Ethnicity

  Chinese

1.13

(0.582.22)

0.7164

1.17

(0.592.33)

0.6447

1.10

(0.552.17)

0.7890

1.15

(0.572.33)

0.6948

  Malay

1.31

(0.622.76)

0.4811

1.39

(0.652.97)

0.3942

1.27

(0.60-2.71)

0.5376

1.35

(0.622.94)

0.4506

  Indian

0.86

(0.381.95)

0.7187

0.88

(0.392.02)

0.7695

0.82

(0.361.87)

0.6354

0.86

(0.371.99)

0.7174

  Other

1.00

..

..

1.00

..

..

1.00

..

..

1.00

..

..

 Singapore resident

1.23

(0.542.80)

0.6170

1.22

(0.532.79)

0.6425

1.23

(0.542.81)

0.6252

1.21

(0.453.26)

0.7118

 Private ward class

0.68

(0.401.13)

0.1386

0.66

(0.391.12)

0.1243

0.67

(0.391.12)

0.1269

0.65

(0.381.13)

0.1288

 Charlson’s comorbidity index >5

2.00

(1.47–2.71)

<0.0001

1.97

(1.44–2.68)

<0.0001

2.18

(1.59–2.99)

<0.0001

2.12

(1.54–2.92)

<0.0001

 Prior hospitalisation

1.00

(0.771.30)

0.9730

0.97

(0.751.27)

0.8458

 Prior antibiotics

1.11

(0.811.53)

0.5029

1.07

(0.781.48)

0.6650

 Length of stay prior to antibiotics >7 days

0.97

(0.741.27)

0.8448

1.05

(0.801.39)

0.7215

 Antibiotic prescription on weekend/public holiday

1.16

(0.901.51)

0.2485

1.17

(0.901.52)

0.2348

 Antibiotic prescription at nightb

1.05

(0.821.35)

0.6722

1.04

(0.811.33)

0.7854

 Diagnosed Infection

  Pneumonia

1.72

(0.953.12)

0.0731

1.53

(0.792.94)

0.2030

  Sepsis

3.00

(1.58–5.70)

0.0008

2.61

(1.30–5.26)

0.0071

  Urinary tract infection

0.84

(0.391.79)

0.6500

-

0.75

(0.331.69)

0.4924

  Hepatobiliary or Intra-abdominal

1.51

(0.743.08)

0.2630

1.62

(0.753.52)

0.2195

  Other

1.00

..

..

1.00

..

..

 ICU Admission

1.96

(1.40–2.75)

<0.0001

1.85

(1.31–2.61)

0.0004

2.47

(1.70–3.58)

<0.0001

2.25

(1.54–3.29)

<0.0001

Prescribing Physician Factor (ICC = 0% [PS], 0% [Conventional])

 Junior physician

1.02

(0.691.51)

0.9340

1.05

(0.701.56)

0.8206

Attending Physician Factor (ICC = 0.1% [PS], 0% [Conventional])

Clinical Specialty Factor (ICC = 0.8% [PS], 1.0% [Conventional])

 Medical specialty

1.53

(1.02–2.30)

0.0413

1.46

(0.952.25)

0.0833

Receipt of antibiotics according to ARUSC’s Recommendations

0.54

(0.261.10)

0.0882

0.54

(0.271.11)

0.0922

0.52

(0.251.05)

0.0686

0.52

(0.261.06)

0.0728

Receipt of antibiotics according to ARUSC’s Recommendations*Age > 65

2.32

(1.084.98)

0.0302

2.34

(1.09–5.04)

0.0296

2.38

(1.11–5.13)

0.0267

2.39

(1.11–5.16)

0.0262

  1. (Model 1: 2-level logistic regression analysis of data on 1886 patients seen by 575 prescribing physicians; Model 2: 3-level logistic regression analysis of data on 1886 patients seen by 220 attending physicians in 19 clinical specialties). Abbreviations: CNS, central nervous system; ICC, intraclass correlation coefficient; ICU, intensive care unit; OR, odds ratio; CI, confidence interval.
  2. aPropensity score derived from diagnosed infection, time and day of antibiotic prescription, hospitalisation days prior to antibiotics, prior hospitalisation, and prior antibiotics.
  3. bNight is defined as physician on-call hours from 1730 hours to 0730 hours.