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Table 3 Multivariate logistic regressions with fixed effects: factors affecting priority setting

From: Factors explaining priority setting at community mental health centres: a quantitative analysis of referral assessments

  Ordered logistic regression Binary logistic regressions
Determinants Model I (n =724) Model II (n =672) High and low priority vs. refusals Model III (n =578) High priority vs. low priority Model IV (n =217) Low priority vs. refusals
Severity (MinGAF) −0.11 (0.01), p =0.00 −0.09 (0.02), p =0.00 −0.12 (0.02), p =0.00 −0.03 (0.02), p =0.14
Effect 0.95 (0.27), p =0.00 0.36 (0.35), p =0.30 1.91 (0.43), p =0.00 −0.37 (0.38), p =0.33
Cost-effectiveness 1.64 (0.23), p =0.00 1.89 (0.30), p =0.00 1.27 (0.37), p =0.00 1.15 (0.32), p =0.00
Profession: Psychiatrist (=1) or not (=0) 0.15 (0.33), p =0.65 0.34 (0.45), p =0.45 0.23 (0.47), p =0.63 0.28 (0.56), p =0.61
Profession: Psychologist (=1) or not (=0) 0.36 (0.36), p =0.32 0.93 (0.50), p =0.06 −0.21 (0.52), p =0.69 0.95 (0.57), p =0.09
Education: Specialist (=1) or not (=0) −1.19 (0.47), p =0.01 −1.75 (0.63), p =0.01 −0.25 (0.64), p =0.70 −1.49 (0.80), p =0.06
Manager (=1) or not (=0) −0.61 (0.30), p =0.04 −0.38 (0.39), p =0.34 −0.45 (0.45), p =0.32 −0.22 (0.47), p =0.64
Rating exp. (=1 if 2 years) (=0 if <2 years) 0.13 (0.25), p =0.61 0.39 (0.33), p =0.24 −0.17 (0.35), p =0.64 0.39 (0.39), p =0.33
Guideline awareness −0.29 (0.17), p =0.09 −0.36 (0.22), p =0.10 −0.20 (0.26), p =0.44 −0.17 (0.28), p =0.54
Fixed effects (centres)     
A 0.35 (0.60), p =0.56 −0.20 (0.77), p =0.79 0.97 (0.87), p =0.27 −0.49 (0.95), p =0.60
B 1.20 (0.67), p =0.07 0.66 (0.85), p =0.43 1.34 (0.99), p =0.18 0.04 (0.95), p =0.97
C 1.35 (0.58), p =0.02 1.08 (0.75), p =0.15 1.32 (0.85), p =0.12 0.70 (0.86), p =0.42
D 1.89 (0.74), p =0.01 1.47 (1.04), p =0.16 2.11 (0.99), p =0.03 0.42 (1.32), p =0.75
E 0.22 (0.64), p =0.73 −0.07 (0.79), p =0.93 0.91 (0.95), p =0.34 −0.57 (1.01), p =0.57
F 1.68 (0.64), p =0.01 –a 0.78 (0.79), p =0.33 –a
G 1.07 (0.73), p =0.14 1.09 (1.06), p =0.31 0.97 (0.97), p =0.32 0.65 (1.19), p =0.59
H 0.75 (0.54), p =0.16 0.92 (0.68), p =0.18 0.48 (0.78), p =0.53 0.62 (0.76), p =0.41
I 0.58 (0.63), p =0.36 0.28 (0.86), p =0.75 1.90 (0.84), p =0.28 0.03 (1.06), p =0.98
J 0.42 (0.54), p =0.44 −0.08 (0.67), p =0.91 1.03 0.82), p =0.21 −0.68 (0.83), p =0.41
K 0.30 (0.51), p =0.56 −0.05 (0.63), p =0.94 0.96 (0.79), p =0.23 −0.35 (0.76), p =0.65
L 0.19 (0.83), p =0.82 −0.93 (0.94), p =0.33 –a –a
M 2.55 (0.78), p =0.00 2.87 (1.05), p =0.01 1.85 (1.14), p =0.11 2.017 (1.17), p =0.07
Constant – 0.88 (1.32), p =0.51 −1.80 (1.60), p =0.26 0.17 (1.54), p =0.91
Pseudo R2 0.36 0.41 0.36 0.14
  1. Coefficients, (standard errors) and p-values. (n =217–724).
  2. aThese centres are ignored since all scores for these centres belong to one priority group only (to avoid dummy traps).
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