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Table 1 Demographic and clinical characteristics of study population

From: Evaluation of the accuracy of diagnostic coding for influenza compared to laboratory results: the availability of test results before hospital discharge facilitates improved coding accuracy

Variable Positive test results (n = 2759) All patients (n = 16,439)
Female, n (%) 1414 (51.3) 7962 (48.4)
Age (years), median (IQR) 76 (57–85) 66 (18–81)
Season, n (%)   
 Influenzaa 2352 (85.3) 9016 (54.9)
 Non-influenza 407 (14.7) 7423 (45.1)
Year of admission, n (%)   
 2016 875 (31.7) 6487 (39.5)
 2017 1884 (68.3) 9952 (60.5)
Setting where the test was ordered   
 ED 1668 (60.5) 7750 (47.2)
 Inpatient 994 (36.0) 8159 (49.6)
 ED and inpatient 97 (3.5) 530 (3.2)
Source of referral, n (%)   
 Emergency department 2511 (91.0) 13,890 (84.5)
 Otherb 248 (9.0) 2549 (15.5)
Mode of separation, n (%)   
 Discharged by hospital 2215 (80.3) 13,454 (81.9)
 Transferred to another setting 408 (14.8) 2119 (12.9)
 Died in the hospital 100 (3.6) 596 (3.6)
 Other (e.g. left at own risk) 36 (1.3) 270 (1.6)
Hospital, n (%)   
 A 796 (28.9) 4145 (25.2)
 B 566 (20.5) 2731 (16.6)
 C 383 (13.9) 2051 (12.5)
 D 493 (17.8) 2978 (18.1)
 E 224 (8.1) 959 (5.8)
 F 126 (4.6) 710 (4.3)
 G 171 (6.2) 2865 (17.4)
Hospital length of stay (days), median (IQR) 4.7 (2.4–10.1) 5.1 (2.7–10.7)
Charlson comorbidity index, median (IQR) 1 (0–2) 1 (0–2)
ICD-10-AM principal diagnosis of influenza, n (%) 1281 (46.4) 1337 (8.1)
  1. aJuly–October
  2. bE.g. medical practitioner other than private, other hospital/day procedure centre and outpatients, community health