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Table 2 Degree of translation to the electronic medical record (EMR) data

From: The correlation between the number of eligible patients in routine clinical practice and the low recruitment level in clinical trials: a retrospective study using electronic medical records

 

Patient characteristics

Data elements in EMRs

Degree of translationa

Previous studyb

Health status

236

141

0.61

0.60

  Disease, symptoms and signs

120

80

0.68

0.81

  Pregnancy-related activity

12

0

0

0.16

  Neoplasm status

24

16

0.67

0.75

  Disease stage

10

1

0.10

0.25

  Allergy

12

4

0.33

0.17

  Organ or tissue status

54

40

0.75

0.74

  Life expectancy

4

0

0

0

Treatment or healthcare

45

24

0.55

0.57

  Pharmaceutical substance or drug

26

10

0.40

0.35

  Therapy or surgery

19

14

0.74

0.74

  Device

0

0

NA

0

Diagnostic or lab results

84

47

0.56

0.54

  Diagnostic or lab results

84

47

0.56

0.54

  Receptor status

0

0

NA

0

Demographics

21

21

1.00

0.85

  Age

20

20

1.00

0.95

  Special patient characteristic

0

0

NA

0.33

  Literacy

0

0

NA

0

  Gender

1

1

1.00

1.00

  Address

0

0

NA

0

  Ethnicity

0

0

NA

0

Ethical consideration

12

0

0

0.08

  Consent

8

0

0

0.06

  Enrollment in other studies

1

0

0

0

  Capacity

2

0

0

0.16

  Patient preference

1

0

0

0

  Compliance with protocol

0

0

NA

0

Lifestyle choice

10

 

0.20

0.82

  Addictive behavior

5

0

0

0.90

  Bedtime

0

0

NA

0

  Exercise

0

0

NA

0

  Diet

5

2

0.40

0

No fitting category

17

0

0

-

Total

425

235

0.55

0.55

  1. aThe degree of translation = the number of patient characteristics/the number of data elements in EMRs.
  2. bPrevious study: the fraction of documentable patient characteristics in previous study [21]. The authors calculated the fraction of patients with any data in at least one corresponding data element for each patient characteristic.