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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