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Comment: updating example with conditional branching flag

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Dataset wrap
Nameft
Rowcaps
Rows 1-4:

Show a subject who refused to do the test.  All 4 questions were marked as not done with the reason written at the top of the CRF.

Rows 5-8:Show a subject who was not able to do the test due to disease progression. Rows 6 and 7 are logically skipped items because the subject was not able to do the 4-stair descend. The test grade is shown on row 8.
Rows 9-12:Show a subject who was able to complete the test.
Dataset2
RowSTUDYIDDOMAINUSUBJIDFTSEQFTTESTCDFTTESTFTCATFTORRESFTSTRESCFTSTRESNFTSTATFTREASNDFTLOBXFLVISITNUMFTDTC
1STUDYXFT1001-0011D4STR101D4STR1-Was 4-Stair Descend Performed4-STAIR DESCEND


NOT DONEREFUSEDY12015-05-15
2STUDYXFT1001-0012D4STR102D4STR1-Time to Do 4-Stair Descend4-STAIR DESCEND


NOT DONEREFUSEDY12015-05-15
3STUDYXFT1001-0013D4STR103D4STR1-Wear Orthoses4-STAIR DESCEND


NOT DONEREFUSEDY12015-05-15
4STUDYXFT1001-0014D4STR104D4STR1-Test Grade4-STAIR DESCEND


NOT DONEREFUSEDY12015-05-15
5STUDYXFT1001-0021D4STR101D4STR1-Was 4-Stair Descend Performed4-STAIR DESCENDNo, Due to disease under studyNo, Due to disease under study


Y12015-05-15
6STUDYXFT1001-0022D4STR102D4STR1-Time to Do 4-Stair Descend4-STAIR DESCEND


NOT DONELOGICALLY SKIPPED ITEM
Y12015-05-15
7STUDYXFT1001-0023D4STR103D4STR1-Wear Orthoses4-STAIR DESCEND


NOT DONELOGICALLY SKIPPED ITEM
Y12015-05-15
8STUDYXFT1001-0024D4STR104D4STR1-Test Grade4-STAIR DESCENDUnable to descend 4 standard stairs.11

Y12015-05-15
9STUDYXFT1001-0031D4STR101D4STR1-Was 4-Stair Descend Performed4-STAIR DESCENDYesY


Y12015-05-15
10STUDYXFT1001-0032D4STR102D4STR1-Time to Do 4-Stair Descend4-STAIR DESCENDPT1M32SPT1M32S


Y12015-05-15
11STUDYXFT1001-0033D4STR103D4STR1-Wear Orthoses4-STAIR DESCENDNoN


Y12015-05-15
12STUDYXFT1001-0034D4STR104D4STR1-Test Grade4-STAIR DESCENDDescends 4 standard stairs alternating feet, needs handrail for support.55

Y12015-05-15


The conditionally branched item flag text value for data collection needs to be populated in SUPPFT as follows. The standard terminology for QNAM and QLABEL are listed below.

Dataset wrap
Namesuppft
STUDYIDRDOMAINUSUBJIDIDVARIDVARVALQNAMQLABELQVALQORIG
STUDYXFT1001-002QSSEQ2FTCBRFLConditionally Branched Item FlagYCRF
STUDYXFT1001-002QSSEQ3FTCBRFLConditionally Branched Item FlagYCRF


4 SDTM Mapping Strategy

This section is used for reference regarding the CRF data capture and to understand the alignment of the instrument to the SDTM FT domain. It also provides guidance on how the result and unit variables (FTORRES, FTSTRESC, FTSTRESN, FTORRESU, and FTSTRESU)

Jira
showSummaryfalse
serverIssue Tracker (JIRA)
serverId85506ce4-3cb3-3d91-85ee-f633aaaf4a45
keyQRSSUPP-620
 should be populated.

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