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Table 3 Factors associated with hospitalization risk

From: Analysis of medication management system data to determine potentially inappropriate medication use and hospitalization among older adults living in residential care homes for the elderly population

 

Model 1

Model 2

Variables

OR (95% CI)

P

OR (95% CI)

P

PIM use in 2023

    

No

Reference

 

---

 

Yes

1.73 (1.54–1.96)

<0.001

---

 

No. of PIMs in 2023

    

0

---

 

Reference

 

1

---

 

1.56 (1.36–1.78)

<0.001

≥ 2

---

 

2.17 (1.82–2.59)

<0.001

Sex

    

Male

Reference

 

Reference

 

Female

0.79 (0.69–0.90)

<0.001

0.79 (0.69–0.90)

<0.001

Age

    

65–74

Reference

 

Reference

 

75–84

0.93 (0.76–1.14)

0.50

0.94 (0.77–1.16)

0.5860

85–94

1.22 (1.00-1.47)

0.046

1.23 (1.02–1.49)

0.032

≥ 95

1.41 (1.12–1.77)

0.003

1.44 (1.15–1.82)

0.002

No. of concurrent medications

    

0–4

Reference

 

Reference

 

5–9

0.72 (0.60–0.86)

<0.001

0.72 (0.61–0.86)

<0.001

≥ 10

1.00 (0.87–1.14)

0.98

0.99 (0.86–1.13)

0.83

No. of comorbidities

    

0–2

Reference

 

Reference

 

3–5

1.16 (0.99–1.36)

0.063

1.16 (0.99–1.36)

0.065

6–8

1.33 (1.13–1.57)

<0.001

1.32 (1.12–1.56)

<0.001

≥ 9

1.72 (1.45–2.06)

<0.001

1.71 (1.43–2.04)

<0.001

  1. OR: odds ratio; PIM: potentially inappropriate medication; 95% CI: 95% confidence interval
  2. Model 1: Multivariable logistic regression model with PIM use, sex, age, number of concurrent medications and number of comorbidities as independent variables
  3. Model 2: Multivariable logistic regression model with number of PIMs, sex, age, number of concurrent medications and number of comorbidities as independent variables