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. 2022 Apr 18;70(8):2298–2309. doi: 10.1111/jgs.17798

TABLE 3.

Unadjusted and adjusted multilevel logistic regression model to identify factors significantly associated with physical restraint use at resident level

Unadjusted, n = 5,682 a Adjusted, n = 5,682
OR 95% CI p‐value OR 95% CI p‐value
Facilities
Ownership status: private b 1.95 1.14–3.36 0.015
Units
Unit size: medium c 1.12 0.77–1.62 0.560 0.94 0.60–1.47 0.777
Unit size: large c 0.66 0.41–1.04 0.073 0.58 0.33–1.02 0.058
FTE/100 beds d 1.02 1.00–1.03 0.006 0.98 0.97–1.00 0.024
Unit offers dementia‐focus services 1.80 1.30–2.51 <0.001 1.20 0.80–1.78 0.378
Unit uses pressure‐sensitive detection mat 1.74 0.88–3.45 0.111 1.71 0.76–3.84 0.192
Unit uses electronic bracelets 0.99 0.72–1.35 0.930 1.04 0.71–1.52 0.851
Unit uses electronic system to control the ability to open doors 0.97 0.73–1.29 0.826 0.94 0.67–1.33 0.733
Unit uses cameras 1.29 0.70–2.39 0.417 0.92 0.44–1.92 0.815
Staff
Opinions on appropriateness of restraint use from staff (MAQ) 0.54 0.35–0.82 0.004 0.48 0.29–0.80 0.005
Residents
Care level b 2.05 1.91–2.20 <0.001
CPS b 1.67 1.53–1.83 <0.001
AIC 3533.9 2352.1

Abbreviations: OR, Odds ratio; CI, Confidence interval; FTE, Full‐time equivalent; MAQ, Maastricht Attitudes Questionnaire; CPS, Cognitive Performance Scale; AIC, Akaike's information criterion.

a

The model included 262 units from 85 nursing homes.

b

Given the inclusion of 12 variables, n = 5,682 had complete cases and a total n of 467 (7.6%) residents were excluded. Significant factors in the table are in bold.

c

Unit size: small ≤20 beds; medium 21–30 beds; large: ≥31 beds.

d

The upper bound for the adjusted model is 0.9991.