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Table 3 Multilevel logistic regression model

From: Variation in restraint use between hospitals: a multilevel analysis of multicentre prevalence measurements in Switzerland and Austria

Model: AIC 12568.9; marginal R2 = 0.24; conditional R2 = 0.55; ICC = 0.41; MOR = 4.22

 

Random effect

Variance (SD)

Hospital (intercept)

2.28 (1.51)

Fixed effects

OR (95% CI)

(intercept)

0.02 (0.01–0.03)a

Organisational factors (specific contextual effects)

 Guidelines regarding restraint (yes)

0.60 (0.49–0.74)a

 

80% IOR: (0.04–9.30)

 Refresher course regarding restraints (yes)

0.75 (0.64–0.89)a

 

80% IOR: (0.05–11.64)

Patient characteristics

 Age in years (1st degree)

1.21 (1.14–1.29)a

 Age in years squared (2nd degree)

1.11 (1.06–1.15)a

 Female gender

0.74 (0.67–0.81)a

 Care Dependency Scale (CDS)

  ≥ 70 completely independent

Reference

  ≥ 60–69 to a great extent independent

3.20 (2.74–3.72)a

  ≥ 45–59 partially dependent

8.83 (7.59–10.28)a

  ≥ 25–44 to a great extent dependent

23.81 (20.17–28.10)a

  ≤ 24 completely dependent

39.74 (32.72–48.26)a

 Mental and behavioural disorders

2.31 (2.09–2.56)a

 Factors influencing health status and contact with health services

1.42 (1.22–1.65)a

 Diseases of the genitourinary system

0.90 (0.81–1.00)

 Diseases of the digestive system

0.85 (0.76–0.95)a

 Diseases of the musculoskeletal system and connective tissue

0.78 (0.70–0.86)a

  1. AIC Akaike information criterion, ICC intraclass correlation coefficient, OR odds ratio, 95% CI 95% confidence interval, MOR median odds ratio, 80% IOR 80% interval odds ratio
  2. astatistically significant based on the 95%CI