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Table 1 Univariate analysis describing how each cluster is related to individual characteristics of the population under study

From: Mining care trajectories using health administrative information systems: the use of state sequence analysis to assess disparities in prenatal care consumption

Clusters

“High” level

“Absence” level

“Intermediate” level

p-value

Variables

(Cluster 1)

(Cluster 2)

(Cluster 3)

N = 296

N = 546

N = 1676

Age (± sd) in years

30.03 (4.71)

28.86 (5.78)

29.55 (+/−5.08)

0.003*

CMUC (%)

    

Yes

40 (13.5)

89 (16.4)

230 (13.8)

0.29**

No

256 (86.5)

454 (83.6)

1441 (86.2)

 

COCI

0.37

0.42

0.40

0.409***

  1. *: p-value of the ANOVA; **: p-value of the Fisher’s exact test; ***: p-value of the Kruskal-Wallis rank sum test