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Table 4 Final prediction models of potentially suboptimal use of health services and a poor health related quality of life, results of multivariate multinomial logistic regression analyses

From: Identifying high-need patients with multimorbidity from their illness perceptions and personal resources to manage their health and care: a longitudinal study

 

Frequent contact with the general practice

Use of general practice out-of-office service

Unplanned hospitali-Sation

Poor health related quality of life

Final model

Chi2(3) = 21.512

(P < .001)

Chi2(3) = 16.037

(P = .001)

Chi2(1) = 9.654

(P = .002)

Chi2(7) = 137.288

(P < .001)

N

552

577

580

541

 

B (P)

B (P)

B (P)

B (P)

Sex: male (ref: female)

−0.493 (.019)

   

Age (ref: younger than 65 years)

 65 to 74 years

 

0.187 (.490)

 

−0.477 (.131)

 75 years or older

 

0.775 (.003)

 

0.458 (.135)

Number of chronic conditions

 BIPQ Personal control ≥7

  

−0.926 (.003)

−0.728 (.006)

 BIPQ Identity ≥7

   

1.479 (<.001)

 BIPQ Concern ≥7

0.446 (.048)

  

0.844 (.002)

 BIPQ Emotional response ≥7

 

0.622 (.005)

  

 “I have plenty people”: yes (vs more or less/no)

   

−0.527 (.042)

 HADS-Depression < 8

   

−0.966 (.001)

 Mastery > 21

−0.533 (.017)

   

 Constant

−0.828 (<.001)

−1.838 (<.001)

− 1.904 (<.001)

− 1.279 (.002)

 Hosmer-Lemeshow goodness of fit

Chi2(6) = 2.726

(P = .842)

Chi2(4) = 0.249, (P = .993)

Chi2(0) = 0.000

(−)

Chi2(8) = 3.401

(P = 0.901)