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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 practiceUse of general practice out-of-office serviceUnplanned hospitali-SationPoor health related quality of life
Final modelChi2(3) = 21.512
(P < .001)
Chi2(3) = 16.037
(P = .001)
Chi2(1) = 9.654
(P = .002)
Chi2(7) = 137.288
(P < .001)
N552577580541
 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 ≥70.446 (.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 fitChi2(6) = 2.726
(P = .842)
Chi2(4) = 0.249, (P = .993)Chi2(0) = 0.000
(−)
Chi2(8) = 3.401
(P = 0.901)