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O p e n s o u r c e t o o l s f o r c l i n i c a l r e s e a r c h i n a d i a b e t e s c l i n i c I z t o k t o t l U n i v e r s i t y M e d i c a l C e n t r


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SLIDE 1

O p e n s

  • u

r c e t

  • l

s f

  • r

c l i n i c a l r e s e a r c h i n a d i a b e t e s c l i n i c

I z t

  • k

Š t

  • t

l

U n i v e r s i t y M e d i c a l C e n t r e L j u b l j a n a

P e t e r B e c k

J O A N N E U M R E S E A R C H F

  • r

s c h u n g s g e s e l l s c h a f t m b H

B e r l i n 2 1 3

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SLIDE 2

Source od data: IDF Diabetes World Atlas; http://www.idf.org/

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SLIDE 3

D i f f e r e n t I T p r

  • b

l e ms i n c l i n i c a l d i a b e t

  • l
  • g

y

  • S

t a n d a r d i s a t i

  • n
  • f

E l e c t r

  • n

i c M e d i c a l R e c

  • r

d ( s t i l l a l

  • t
  • f

w

  • r

k t

  • d
  • )
  • H
  • s

p i t a l a n d a m b u l a t

  • r

y i n f

  • r

m a t i

  • n

s y s t e m s ( m

  • s

t l y p r

  • p

r i e t a r y a n d c l

  • s

e d s

  • u

r c e )

  • T

e l e m e d i c i n e , P H R a n d d i f f e r e n t m e d i c a l g a d g e t s ( i n s u l i n p u m p s , s e n s

  • r

s . . . )

  • D

a t a ma n a g e me n t i n C l i n i c a l r e s e a r c h

  • C
  • mp

u t e r i s e d d i a b e t e s r e g i s t r i e s

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SLIDE 4

U n i v e r s i t y me d i c a l c e n t r e L j u b l j a n a , D e p a r t me n t

  • f

E n d

  • c

r i n

  • l
  • g

y , D i a b e t e s a n d Me t a b

  • l

i c D i s e a s e s

S ma l l d e p a r t me n t wi t h i n p a t i e n t a n d

  • u

t p a t i e n t d i a b e t e s c l i n i c

O w n s e r v e r s :

  • C

e n t

  • s
  • K

V M v i r t u a l i s a t i

  • n
  • A

p a c h e / T

  • m

c a t i n d i f f e r e n t V M ' s

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SLIDE 5

 D

i f f e r e n t d a t a s

  • u

r c e s

 l

a b

  • r

a t

  • r

i e s

 b

e d s i d e d a t a

 d

i f f e r e n t d e p a r t m e n t s

 m

u l t i c e n t r i c / i n t e r n a t i

  • n

a l r e s e a r c h

S t r i c t r e g u l a t i

  • n

s

C

  • m

p l e x r e s e a r c h p r

  • t
  • c
  • l

s

M

  • n

i t

  • r

i n g

  • f

r e s e a r c h p r

  • g

r e s s

L

  • n

g t e r m a r c h i v i n g

  • f

d a t a

C l i n i c a l d a t a f

  • r

r e s e a r c h

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SLIDE 6
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SLIDE 7

+ easy to develop + low price

  • not practical for complex protocols
  • bad for big research teams, multicentric studies
  • without tracking changes, not compliant with regulations
  • not flexibile enough, lack of support for different data formats
  • archiving not complete (signatures, modifications tracking)

Simple electronic forms (.xls, .mdb, ..)

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SLIDE 8

+ web/desktop applications + everything can be customised

  • time consuming
  • $$$ - price to high for small research teams
  • bad reusability
  • public clouds not an option (privacy, regulations)
  • propriatary solutions (expensive, lock-in ...)

„Tailored“ - custom made applications

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SLIDE 9
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SLIDE 10

Vanderbilt University OpenClinica, LLC Standard/LTS Community/Enterprise Available only for non- commercial research purposes Lesser General Public License Apache/PHP/MySql Tomcat/J2EE/Postgres or Oracle Certifikate FDA 21 part 11

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SLIDE 11

Trends

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SLIDE 12

CRF (clinical research form) editor

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SLIDE 13

CRF – clinical research form

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SLIDE 14

Redcap:

 Tablet computers  Data Transfer Service (DTS) – push or pull data  Randomisation module  Very friendly user interface  Surveys

Openclinica:

 Very good REST/SOAP infrastructure / easy

customisation

 Discrepancy management (GUI entry and WS)  CDISC ODM

Additional features

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SLIDE 15
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SLIDE 16

Data export

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SLIDE 17
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SLIDE 18

+

 Excelent stabillity  Very good support/very active community  Low cost of ownership

  •  ?

Conclusions

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SLIDE 19

" E U r

  • p

e a n B e s t I n f

  • r

m a t i

  • n

t h r

  • u

g h R e g i

  • n

a l O u t c

  • m

e s i n D i a b e t e s " ( E U B I R O D )

P u b l i c h e a l t h p r

  • j

e c t i n t h e f i e l d

  • f

d i a b e t e s s p

  • n

s

  • r

e d b y t h e E u r

  • p

e a n U n i

  • n

G

  • a

l : t

  • c

r e a t e e x t e n s i v e r e p

  • r

t

  • n

s e v e r a l r e g i

  • n

s i n E u r

  • p

e i n d i a b e t e s c a r e

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SLIDE 20

BIRO Core EU Dataset

  • 1. ID Patient
  • 2. ID Centre
  • 3. Type of Diabetes
  • 4. Sex
  • 5. Date of Birth
  • 6. Date of Diagnosis
  • 7. Episode Date
  • 8. Smoking Status
  • 9. N.Cigarettes (x day)
  • 10. Alcohol Intake (g/x day)
  • 11. Weight
  • 12. Height
  • 13. BMI
  • 14. Systolic Blood Pressure
  • 15. Dyastolic Blood Pressure
  • 16. HbA1c
  • 17. Creatinine
  • 18. Microalbumin
  • 19. Total Cholesterol
  • 20. HDL
  • 21. Tryglicerides
  • 22. Eye Examination
  • 23. Retinopathy Status
  • 24. Maculopathy Status

N=48

  • 25. Foot Examination
  • 26. Foot Pulses
  • 27. Foot vibration
  • 28. End Stage Renal Failure
  • 29. Renal Dyalisis
  • 30. Renal Transplant
  • 31. Stroke
  • 32. Foot Ulceration
  • 33. Acute Myocardial Infarction
  • 34. Laser
  • 35. Hypertension
  • 36. Blindness
  • 37. Amputation
  • 38. Antihypertensive Medication
  • 39. Hypoglicemic Drug Therapy
  • 40. Oral Drug Therapy
  • 41. Pump Therapy
  • 42. Nasal Therapy
  • 43. Average Injections (x day)
  • 44. Self monitoring
  • 45. Diabetes Specific Education
  • 46. Lipid Lowering Therapy
  • 47. Anti-platelet Therapy
  • 48. Patient enrollment in DMP for diabetes
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SLIDE 21
  • 1. step: Discard Heterogenity from primary sources

Diabetes clinic/region/country Mapping to standard Standardized database

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SLIDE 22
  • 2. step: Local statistical analysis

BIRO Standard Statistical Analysis Local Report

Local report: Web page and PDF

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SLIDE 23
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SLIDE 24
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SLIDE 25
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SLIDE 26

The complete BIRO model www.biro-project.eu

Clinic 1 Local Report Statistical Analysis

Aggregate Tables

BIRO Standard Mapping Local Global

Global Report

Transmission

Clinic 2

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SLIDE 27

R e p

  • r

t 2 1 : C e n t r e s f r

  • m

1 9 e u r

  • p

e a n c

  • u

n t r i e s N = 1 9 9 , 9 2 p a t i e n t s

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SLIDE 28
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SLIDE 29

 S

  • l

v e s p r

  • b

l e m

  • f

s

  • f

t w a r e d i s t r i b u t i

  • n

a n d u p g r a d e s

 V

i r t u a l B

  • x

L i n u x a p p l i a n c e – b a s e d

  • n

U b u n t u

 U

p g r a d e s

  • f

s

  • f

t w a r e t h r

  • u

g h r e p

  • s

i t

  • r

y / s y s t e m u p d a t e

 I

n c l u d e s :

 B

I R O B

  • x

– J a v a d e s k t

  • p

C l i e n t

 P

r e c

  • n

f i g u r e d p

  • s

t g r e s s d a t a b a s e , R , L a T e X , J a v a

 D

  • c

u m e n t a t i

  • n

 S

  • m

e a d d i t i

  • n

a l t

  • l

s

B I R O X L i n u x

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SLIDE 30

Me d i a wi k i : d i s t r i b u t i

  • n
  • f

E H R d a t a m

  • d

e l p r

  • p
  • s

a l d

  • t

C MS (

  • p

e n s

  • u

r c e j a v a C M S ) :

  • d

i s t r i b u t i

  • n
  • f

c l i n i c a l g u i d e l i n e s s

  • e

d u c a t i

  • n

m a t e r i a l s

  • e

v e n t s

  • p

a t i e n t i n f

  • r

m a t i

  • n

s i t e Mo

  • d

l e : e d u c a t i

  • n

C

  • l

l a b

  • r

a t i

  • n

A l f r e s c

  • :

p a p e r f

  • r

m s r e p

  • s

i t

  • r

y

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SLIDE 31
  • e

a s i e r d e b u g g i n g

  • f

e a t u r e a d d i t i

  • n

s a n d c u s t

  • m

i z a t i

  • n

f

  • r

s p e c i a l n e e d s

  • t

r a n s p a r e n c y

  • f

p a t i e n t d a t a m a n i p u l a t i

  • n
  • f

r e e a s i n b e e r (

  • t

h e r v i s e

  • f

t e n v e r y e x p e n s i v e a n d u n a f f

  • r

d a b l e t

  • s

m a l l d e p a r t m e n t s )

O p e n s

  • u

r c e d e v e l

  • p

m e n t m

  • d

e l

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SLIDE 32

Q u e s t i

  • n

s . . .