Fa vs suppqual
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FA vs. SUPPQUAL. Facilitator: Riekert Henning, 11 April 2013. Agenda. Introduction Guidelines for Resolution Decision Chart Some Examples FAQ & Discussion Conclusion. Introduction.

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FA vs. SUPPQUAL

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Fa vs suppqual

FA vs. SUPPQUAL

Facilitator: Riekert Henning, 11 April 2013


Agenda

Agenda

Introduction

Guidelines for Resolution

Decision Chart

Some Examples

FAQ & Discussion

Conclusion


Introduction

Introduction

More people are becoming familiar with CDISC and the SDTM data standard and it seems that it should be getting easier.

In practice virtually every study seems to have forms or modules that challenge even the most seasoned CDISC users.

One of these challenges is the “floating supplemental qualifier” or “lost child”

This situation is not CDISC compliant, so we need to address it !


Guidelines for resolution

Guidelines for Resolution

  • Does it actually belong in a SDTM domain and not SUPPQUAL?

    • Is it actually topic data and possibly just not presented in the same way as other topic data? Does it have qualifiers of its own?

    • It may not be the same class as other data collected on the page, but is still topic data – perhaps it is Findings About an Event or Intervention. Use the new FA domain!

      2) Is there a not-so-obvious parent?

    • Review the context to determine what this data is describing or related to. It may be related to information in another section of the form or on another form altogether. Alternately, it may be related to the entire form or be a subject-level qualifier.


Guidelines for resolution1

Guidelines for Resolution

Continued…

3) Is the data actually needed?

  • If the data is purely administrative (prompt questions, etc.), it does not need to be mapped.

  • Is the data clinically important or useful for medical review?

  • Is the data needed for any tables, figures, or listings?

    4) When all else fails: It’s time to get creative

  • Perhaps the collection field itself indicates the topic data and a record can be generated in one of the SDTM domains to link the qualifier to.

  • If there is no other solution and you must have this data captured in SDTM, then you may need to create a custom domain to hold the values from these data fields.


Guidelines for resolution2

Guidelines for Resolution

A few options are available:


Decision chart

Decision Chart


Examples

Examples

Example 1:


Examples1

Examples

Example 1 continued…


Examples2

Examples

Example 2:


Examples3

Examples

Example 2 continued…


Examples4

Examples

Example 3


Faq discussion

FAQ & Discussion

Today’s Panel:

Sunet Botha – ClindataBiostats

Yolande van Rooyen – ClindataBiostats

Amorette Kruger – Quintiles Biostats

Laurent Marais – Quintiles IPT/DM

Riekert Henning – Quintiles IPT/DM


Faq discussion1

FAQ & Discussion

Questions

  • What does the term ‘Findings About’ refer to ?

    • Data that do not describe an event or intervention as a whole .

    • data that indicate the occurrence of related symptoms.

  • The variable, --OBJ, is unique to Findings About. In conjunction with FATEST/CD, it describes what the topic of the observation is.

    How do we determine what goes into FAOBJ and FATEST/CD ?

    • FAOBJ is to link FA to an Events or Interventions domain;

    • FATEST Codelistis findings associated with the event in FAOBJ;

  • How are the FA records linked back to the original record ?

    • Record may be linked back via RELREC.


Faq discussion2

FAQ & Discussion

  • What does the term ‘Findings About’ refer to ?

    • Data that do not describe an event or intervention as a whole .

    • data that indicate the occurrence of related symptoms.

  • The variable, --OBJ, is unique to Findings About. In conjunction with FATEST/CD, it describes what the topic of the observation is.

    How do we determine what goes into FAOBJ and FATEST/CD ?

    • FAOBJ is to link FA to an Events or Interventions domain;

    • FATEST Codelistis findings associated with the event in FAOBJ;

  • How are the FA records linked back to the original record ?

    • Record may be linked back via RELREC.


Faq discussion3

FAQ & Discussion

  • What does the term ‘Findings About’ refer to ?

    • Data that do not describe an event or intervention as a whole .

    • data that indicate the occurrence of related symptoms.

  • The variable, --OBJ, is unique to Findings About. In conjunction with FATEST/CD, it describes what the topic of the observation is.

    How do we determine what goes into FAOBJ and FATEST/CD ?

    • FAOBJ is to link FA to an Events or Interventions domain;

    • FATEST Codelistis findings associated with the event in FAOBJ;

  • How are the FA records linked back to the original record ?

    • Record may be linked back via RELREC.


Faq discussion4

FAQ & Discussion

How do we determine what goes into FAOBJ and FATEST/CD ?


Faq discussion5

FAQ & Discussion

How do we determine what goes into FAOBJ and FATEST/CD ?


Faq discussion6

FAQ & Discussion

  • What does the term ‘Findings About’ refer to ?

    • Data that do not describe an event or intervention as a whole .

    • data that indicate the occurrence of related symptoms.

  • The variable, --OBJ, is unique to Findings About. In conjunction with FATEST/CD, it describes what the topic of the observation is.

    How do we determine what goes into FAOBJ and FATEST/CD ?

    • FAOBJ is to link FA to an Events or Interventions domain;

    • FATEST Codelist is findings associated with the event in FAOBJ;

  • How are the FA records linked back to the original record ?

    • Record may be linked back via RELREC.


Faq discussion7

FAQ & Discussion

  • What does the term ‘Findings About’ refer to ?

    • Data that do not describe an event or intervention as a whole .

    • data that indicate the occurrence of related symptoms.

  • The variable, --OBJ, is unique to Findings About. In conjunction with FATEST/CD, it describes what the topic of the observation is.

    How do we determine what goes into FAOBJ and FATEST/CD ?

    • FAOBJ is to link FA to an Events or Interventions domain;

    • FATEST Codelist is findings associated with the event in FAOBJ;

  • How are the FA records linked back to the original record ?

    • Record may be linked back via RELREC.


Faq discussion8

FAQ & Discussion

How are the FA records linked back to the original record ?


Faq discussion9

FAQ & Discussion

  • What does the term ‘Findings About’ refer to ?

    • Data that do not describe an event or intervention as a whole .

    • data that indicate the occurrence of related symptoms.

  • The variable, --OBJ, is unique to Findings About. In conjunction with FATEST/CD, it describes what the topic of the observation is.

    How do we determine what goes into FAOBJ and FATEST/CD ?

    • FAOBJ is to link FA to an Events or Interventions domain;

    • FATEST Codelist is findings associated with the event in FAOBJ;

  • How are the FA records linked back to the original record ?

    • Record may be linked back via RELREC.


Conclusion

CONCLUSION

The floating supplemental qualifier is a compliance issue which must be addressed prior to submitting data. Any “lost children” will be identified by compliance checking tools such as WebSDM or OpenCDISC.

A thorough review of mapping specifications can help to catch this issue up front, but one must be careful in determining an appropriate solution which adheres to CDISC SDTM guidelines and specifications, keeping in mind the full context of the situation and the impact of the modified mapping strategy in terms of programming, medical review, and regulatory review.


Fa vs suppqual

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