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Table 1 Description of the study sample

From: Factors related to and economic implications of inhospital death in German lung cancer patients - results of a Nationwide health insurance claims data based study

  Entire sample Inhospital death No Inhospital death p-valuec
n (%) 12,457 (100) 6965 (55.9) 5492 (44.1)  
Mean age at death (SD) 69.9 (10.0) 68.8 (10.0) 71.4 (9.9) < 0.0001
Sex
 Male N (%) 8930 (71.7) 5070 (72.8) 3860 (70.3) 0.002
Survival
 Median survival in months 7 7 8 < 0.0001
Living in a nursing home a (%) 958 (7.7) 188 (2.7) 770 (14.0) < 0.0001
Care level a
 No care level N (%) 4958 (39.8) 3769 (54.1) 1189 (21.7) < 0.0001
 1 N (%) 2451 (19.7) 1324 (19.0) 1127 (20.5) 0.0351
 2 N (%) 3416 (27.4) 1376 (19.8) 2040 (37.1) < 0.0001
 3 N (%) 1632 (13.1) 496 (7.1) 1136 (20.7) < 0.0001
State
 Western Germany N (%) 9724 (78.1) 5478 (78.7) 4246 (77.3) 0.0732
Urban district b N (%) 7829 (62.9) 4380 (62.9) 3449 (62.8) 0.922
Mean Charlson Comorbidity Score (SD) 3.77 (2.65) 3.81 (2.66) 3.72 (2.63) 0.0777
Body regions with Metastases
 Cerebal N (%) 2271 (18.2) 1237 (17.8) 1034 (18.8) 0.1256
 Bones N (%) 2845 (22.8) 1630 (23.4) 1215 (22.1) 0.0912
 Thoracic N (%) 4207 (33.8) 2406 (34.5) 1801 (32.8) 0.0402
  1. a Data of the last quarter before death were used
  2. b Urban district is based on the district types defined by the Federal institute for Research on Building, Urban Affairs and Spatial Development for 2014. Urban district contains district type 1 and 2, the reference category rural district contains district type 3 and 4
  3. cp-values were calculated with t-test for age at death, Wilcoxon U-test for Charlson Comorbidity Score and Chi2 test for sex, living in a nursing home, care level, state and urban district