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Implementing CDASH standards into data

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Tiêu đề Implementing CDASH Standards Into Data Collection and Database Design
Tác giả Robert Stemplinger
Trường học ICON Clinical Research
Thể loại essay
Năm xuất bản 2010
Định dạng
Số trang 31
Dung lượng 498,59 KB
File đính kèm Implementing CDASH.rar (377 KB)

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Implementing CDASH Standards Into Data Collection and Database DesignRobert Stemplinger ICON Clinical Research... Benefits of CDASHthe clinical trial process, have those standards propa

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Implementing CDASH Standards Into Data Collection and Database Design

Robert Stemplinger ICON Clinical Research

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Reasons for Using CDASH

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Why CDASH?

• Desire to streamline / standardize CRF library and database structures

sponsor specific standards

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Labs, ECG, etc.

(restructuring when necessary)

Statistical Analysis Plan

SDTM, ADaM, define.xml, TLGs

to Client and/or FDA

TLGs CDASH

CT CT

CT

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Benefits of CDASH

the clinical trial process, have those standards

propagate through to the end

required for CRF/eCRF and database

development

structures to SDTM

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Project Outline

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– CRF design, database design

– Database design, database creation

– CDASH expertise, SDTM expertise, Controlled Terminology expertise

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– Data Validation Specification / Edits

– Validation vested at the study level

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Annotate Module to SDTM

Build Database Modules

Create DHC &

DVS

Program Edit Checks

Map/ Program

to SDTM Maintain Standards Documentation

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Implementation

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Implementation Challenges

field versus hard standard

– Getting people involved early in the process / thinking about the end of the process

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Incorporate highly recommended and recommended/Conditional fields

Incorporate optional fields as needed

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Implementation Challenges (4)

– Apply controlled terminology to CRF or map CRF text

to controlled terminology in the SDTM data sets

• Is controlled terminology “usable” in the field?

Apply to CRF

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CRF Development

CRF Design

– Clinical / Biostatistics included as needed

• Six month duration

• Paper / EDC layouts similar

• Did not use Data Collection Field text from CDASH to describe field

• Handful of domains required more than one “standard” template

• Optional templates created for a handful of domains

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CRF Development Issues

• DM

– Subject Initials, AGE - EU Data Protection / Privacy

• MH

– Multiple Iterations / Versions

• No verbatim Description text, only body systems

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– Multiple Iterations / Versions

• No verbatim Description text, only body systems

– Difficult to gain consensus on what should appear on the form

Did not implement

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CRF Completion Guidelines / Help Text

existing standards

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Database Development

• Three month duration

• Did not use Data Collection Field text from CDASH to describe variables

– Defined very simplistic naming conventions for additional text fields required for EDC systems

• Utilized standard SDTM specification template to

populate other variable attributes

• Utilized data dictionaries, elements, DVGs to attach controlled terminology

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Database Development Issues

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Table Name Table Description Target Variable Target Label Data Type Length

DM_STD Demography STUDYID Protocol/Study Identifier $ 200 DM_STD Demography SITEID Site Identifier $ 200 DM_STD Demography SUBJID Subject Identifier $ 200

DM_STD Demography VISITNUM Visit Number BEST 8

DM_STD Demography VISDATC Visit Date (char) $ 200 DM_STD Demography INIT Subject Initials $ 200 DM_STD Demography DSSTDAT Consent Date DATE 8 DM_STD Demography DSSTDATC Consent Date (char) $ 200 DM_STD Demography BRTHDAT Date of Birth DATE 8 DM_STD Demography BRTHDATC Date of Birth (char) $ 200

DM_STD Demography ETHNIC_C Ethnicity (code) $ 200 DM_STD Demography S_ETHNIC Other Ethnic Group $ 200

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Discussion of Results

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– ~10-20% reduction in number of hours required to

develop CRF and database structures as compared

to four “similar” studies put into production without the use of these standard structures

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CDASH Standards (hrs)

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– All EDC platforms

– Limited implementation of controlled terminology

– ~32% reduction in number of hours required to create SDTM compliant data sets as compared to four

“similar” studies put into production without the use of these standard structures

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CDASH Standards (hrs)

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Future Enhancements / Challenges

– CDASH specific terminology

standard structures

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Strength through collaboration.

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