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Table 2 Characteristics of validation studies in the scoping review

From: Validation of administrative health data for the pediatric population: a scoping review

Study characteristic ( N = 37)

n(%)

Year of publication

 

Prior to 2001

4 (10.8)

2001-2005

10 (27.0)

2006-2010

11 (29.7)

2011-2012

12 (32.4)

Country of origin

 

USA

16 (43.2)

Canada

9 (24.3)

Denmark

3 (8.1)

New Zealand

3 (8.1)

China

2 (5.4)

United Kingdom

2 (5.4)

Other

2 (5.4)

Age group ( years ) a

 

0 - 5

29 (78.3)

6 - 10

21 (56.7)

11 - 15

29 (54.0)

16 - 20

17 (45.9)

Condition validated

 

Diabetes

4 (10.8)

Inflammatory bowel disease

2 (5.4)

Asthma

2 (5.4)

Rotavirus infection

2 (5.4)

Tuberculosis

2 (5.4)

Other

25 (67.6)

Topic of validation

 

Diagnosis codes only

14 (37.8)

Case-finding algorithm

21 (56.8)

Both

2 (5.4)

Administrative data source

 

Inpatient

25 (65.8)

Outpatient

9 (23.7)

Emergency department

2 (5.3)

Pharmacy

2 (5.3)

Diagnosis coding system a

 

ICD-9 or ICD-9-CM

28 (75.7)

ICD-10 or ICD-10-CA

8 (21.6)

Other

2 (5.4)

Validation data source a

 

Medical chart

23 (62.2)

Disease registry

6 (16.2)

Clinical database

4 (10.8)

Laboratory data

4 (10.8)

Survey

2 (5.4)

Validation measure a

 

Sensitivity

24 (64.8)

Specificity

20 (54.0)

PPVb

17 (45.9)

NPVc

8 (21.6)

Otherd

4 (10.8)

  1. aCategories are not mutually exclusive; b PPV = positive predictive value; c NPV = negative predictive value; dOther = correlation coefficient, relative risk of association, kappa, percentage of agreement.