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Table 2 Logistic regression models results 1,2

From: Preventable hospitalization and access to primary health care in an area of Southern Italy

Model 1. Outcome: Overall preventable hospitalization

Variable

OR

SE

95% CI

p

Log-likelihood = -194.19, χ 2 = 220.14, p < 0.001, Number of observations = 488

Number of PCP medical visits in the previous year

0.1

0.04

0.05–0.23

< 0.001

Number of patients for each PCP

2.25

0.38

1.62–3.13

< 0.001

Satisfaction with PCP health services

0.34

0.09

0.2–0.58

< 0.001

Length of hospital stay

0.95

0.02

0.91–0.99

0.011

Sex

0.52

0.14

0.31–0.87

0.013

Self-reported health status

0.53

0.14

0.31–0.89

0.017

Number of PCP accesses in the previous year

0.52

0.15

0.3–0.93

0.027

Age

1.03

0.01

1.01–1.05

0.027

Number of hospital admissions in the previous year

1.76

0.46

1.06–2.93

0.03

Additional persons in the household

0.75

0.13

0.53–1.06

0.105

Type of admission

0.57

0.24

0.25–1.3

0.18

Distance between patient's home and hospital

0.99

0.01

0.98–1.01

0.399

Model 2. Outcome: Preventable hospitalization for cardiovascular diseases

Log-likelihood = -150.13, χ 2 = 153.38, p < 0.001, Number of observations = 429

Number of patients for each PCP

2.2

0.43

1.5–3.22

< 0.001

Satisfaction with PCP health services

0.31

0.09

0.17–0.57

< 0.001

Number of PCP medical visits in the previous year

0.12

0.06

0.05–0.3

< 0.001

Length of hospital stay

0.94

0.02

0.9–0.99

0.013

Self-reported health status

0.5

0.16

0.27–0.93

0.027

Number of PCP accesses in the previous year

0.52

0.17

0.27–0.98

0.044

Working activity

0.37

0.18

0.13–0.97

0.044

Sex

0.62

0.18

0.35–1.1

0.106

Number of hospital admissions in the previous year

1.53

0.46

0.85–2.77

0.156

Additional persons in the household

0.76

0.15

0.51–1.13

0.172

Age-adjusted Charlson et al. comorbidity index

1.08

0.07

0.96–1.22

0.19

Model 3. Outcome: Preventable hospitalization for respiratory diseases

Log-likelihood = -92.36, χ 2 = 116.38, p < 0.001, Number of observations = 385

Number of patients for each PCP

2.86

0.8

1.66–4.94

< 0.001

Satisfaction with PCP health services

0.27

0.11

0.13–0.58

0.001

Number of PCP medical visits in the previous year

0.11

0.07

0.03–0.4

0.001

Sex

0.27

0.12

0.11–0.64

0.003

Number of emergency accesses in the previous year

2.71

1.12

1.2–6.11

0.016

Number of PCP accesses in the previous year

0.34

0.15

0.14–0.82

0.017

Type of admission

0.2

0.17

0.04–1.05

0.058

Living condition

2.35

1.08

0.95–5.81

0.063

Self-reported health status

0.49

0.21

0.21–1.12

0.092

Age

1.03

0.02

0.99–1.07

0.131

Age-adjusted Charlson et al. comorbidity index

0.88

0.08

0.73–1.05

0.159

Length of hospital stay

0.97

0.03

0.92–1.02

0.232

Model 4. Outcome: Preventable hospitalization for diabetes

Log-likelihood = -21.54, χ 2 = 18.77, p = 0.0277, Number of observations = 144

Number of patients for each PCP

4.75

3.29

1.22–18.48

0.025

Number of hospital admissions in the previous year

9.74

10.67

1.14–83.39

0.038

Number of PCP accesses in the previous year

0.15

0.17

0.02–1.34

0.090

Education level

0.27

0.23

0.05–1.46

0.129

Length of hospital stay

0.88

0.09

0.72–1.08

0.216

Number of specialist visits in community health services

0.36

0.37

0.05–2.79

0.326

Self-reported health status

2.61

2.57

0.38–18

0.332

Sex

2.47

2.33

0.39–15.65

0.338

Age

1.04

0.05

0.95–1.14

0.340

  1. 1Significance level is set at p ≤ 0.05
  2. 2The variables are presented in order of decreasing significance.
  3. PCP, primary care physician.