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Table 4 Results of the hierarchical linear regression models on unmet information needs

From: Meeting patients’ health information needs in breast cancer center hospitals - a multilevel analysis

 

Model 1

Model 2

Model 3

Intercept

1.82***

1.53***

1.68***

Patient characteristics

   

Mastectomy

.23*

.23*

.23**

Statutory health insurance

.18*

.18*

.19*

Not living with a partner

.37***

.36***

.37***

Age groups (ref. 60 to 69)

   

  ≤ 39

.64***

.63***

.62***

  40 to 49

.40**

.41**

.40**

  50 to 59

.42**

.43***

.43***

  ≥ 70

-.47***

-.47***

-.47***

Native language other than German

.82***

.82***

.81***

Hospital characteristics - structure

   

Teaching

 

.23

.32**

Patient volume (ref. 101 to 200)

   

  ≤ 100

 

-.09

-.05

  201 to 300

 

.41**

.45**

  301 to 400

 

-.07

.09

  ≥ 401

 

.04

.21

Ownership (ref. for-profit)

   

  Public

 

-.01

-.11

  Charitable

 

-.11

-.18

Hospital characteristics - process

   

Patient-specific information material

  

-.39**

Access to self-help groups

  

.18

Health fairs for patients/family

  

-.26*

Variance components for random effects:

Between-hospital variance (τ00); SD

.20; .44***

.16; .40***

.14; .37***

Degrees of freedom

110

98

98

Chi-square

262.91

212.21

185.16

ICC (FUM: .030)

.032

.025

.022

  1. Models adjusted for additional patient characteristics (stage, cancer site, education); n = 4,809 patients; N = 111 hospitals; *p < .05; **p < .01; ***p < .001.