Page History
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| Example | ||||||
|---|---|---|---|---|---|---|
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Tobacco Product Usage - May use an established published questionaire- may just have a CRF with sponsor questions
Should we use SC for all details question about usage and quitting. or FASU....
Modeling at baseline - question like - longest period of abstinence in the past year
Have you attempted to quit smoking
Number of previous attempts to quit smoking
Used patches
SU - Used for exposure amounts....
This example illustrates how typical SU data could be populated. Here, the CRF collected:
- Smoking data
- Smoking status of "previous", "current", or "never"
- If a current or past smoker, number of packs per day
- If a former smoker, the year the subject quit
- Current caffeine use
- What caffeine drinks subjects consumed today
- How many cups today
SUCAT allows the records to be grouped into smoking-related data and caffeine-related data. In this example, the treatments are prespecified on the CRF page, so SUTRT does not require a standardized SUDECOD equivalent.
Not shown: A subject who never smoked does not have a tobacco record. Alternatively, a row for the subject could have been included with SUOCCUR = "N" and null dosing and timing fields; the interpretation would be the same. A subject who did not drink any caffeinated drinks on the day of the assessment does not have any caffeine records. A subject who never smoked and did not drink caffeinated drinks on the day of the assessment does not appear in the dataset.
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| title | su.xpt |
|---|---|
| Name | Su |
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su.xpt
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Row
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STUDYID
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DOMAIN
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USUBJID
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SUSEQ
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SUTRT
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SUCAT
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SUSTAT
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SUREASND
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SUDOSE
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SUDOSU
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SUDOSFRQ
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SUSTDTC
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SUENDTC
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SUSTTPT
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SUSTRTPT
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SUENTPT
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SUENRTPT
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Former Smoker
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