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. 2016 Aug 17;16(3):7. doi: 10.5334/ijic.2014

Table 4.

Linear regression analyses with total, patient-, and non-patient related time investments as dependent variables, and frailty and the intervention as independent variables.

Time-investments

Total Patient-related Non-patient related



Type of professionals Predictor Adj. R2 B SE β Adj. R2 B SE β Adj. R2 B SE β

All professionals Frailty 0.12 2802 393 .346 0.12 2792 393 .345 0.02 10 4 .089
Intervention 0.12 665 1466 .022 0.12 348 1467 .012 0.58 317 14 .751
Primary care practice Frailty 0.02 10 4 .134 n.s. 0.02 3 1 .110
Intervention 0.04 44 15 .151 n.s. 0.20 41 4 .432
General practitioner Frailty 0.04 8 2 .176 0.03 6 2 .169 0.01 2 1 .080
Intervention 0.12 49 8 .294 0.02 1 7 .011 0.49 47 3 .699
Practice assistant Frailty 0.00 2 2 .060 0.00 1 1 .047 0.00 1 1 .060
Intervention 0.05 –29 7 –.220 0.03 –18 5 –.177 0.04 –11 3 –.211
Practice nurse Frailty 0.00 0 2 .010 0.00 0 1 –.001 0.00 0 0 .059
Intervention 0.03 22 6 .182 0.02 18 5 .171 0.03 4 1 .172
Home-care Frailty 0.11 2720 389 .341
Intervention 0.11 152 1449 .005
Hospital Frailty n.s. n.s. n.s.
Intervention n.s. n.s. n.s.
Allied health Frailty n.s.
Intervention n.s.

Adj.R2 = Adjusted Explained Variance; B = Unstandardized Coefficient; SE = standard error; β = Standardized Coefficient (Bold = p < 0.05); n.s.= regression model not significant. Note: Values of B and SE are rounded up.