- Created by Christine Connolly, last modified on Mar 11, 2023
You are viewing an old version of this page. View the current version.
Compare with Current View Page History
« Previous Version 29 Next »
Guidance is in this section will be used with domain-specific guidance in Section x.x, Metadata for Individual Health and is organized by general observation class.
The following should be used when the observation class for a domain is Interventions.
Num | Collection Variable(s) | Implementation |
---|---|---|
1 | --YN | Variables with the question text "Were there any interventions?" (e.g., “Were there any procedures?”, “Were there any concomitant medications?") are intended to assist in the cleaning of data and in confirming that there are no missing values. Values collected for these fields are not represented in subsequent tabulation datasets. |
2 | --CAT, --SCAT | Values are generally not entered on the CRF. Implementers may pre-populate and display these category values to help individuals involved in data collection understand what data should be recorded on the CRF. Implementers may also prepopulate hidden variables with the values assigned within their operational database. Categories and subcategories are determined per protocol design and can be populated during tabulation dataset creation. |
3 | Date and Time | Date variables (e.g., --DAT, --STDAT, --ENDAT) are concatenated with CDASH time variables (e.g., --TIM, --STTIM, --ENTIM, if time is applicable) into the appropriate SDTM --DTC variables (e.g., --DTC, --STDTC, --ENDTC) using ISO 8601 format. Collecting the time an intervention was started is only appropriate if it can be realistically determined and if there is a scientific reason for needing to know this level of detail. |
4 | -- REASND | is used with SDTM variable --STAT only. The value "NOT DONE" in --STAT indicates that the subject was not questioned about the intervention or that data were not collected; it does not mean that the subject had no interventions. |
5 | --SPID | variable may be populated by the sponsor's data collection system. If collected, it can be beneficial to use an identifier in a data query to communicate clearly to the site the specific record in question. This field may be populated by the sponsor's data collection system. |
6 | Coding |
|
7 | Location (--LOC) and related variables (--LAT, --DIR, -- PORTOT) |
|
8 | Relative Timing Variables |
|
The following should be used when the observation class for fields in a domain are Events.
Num | Field or Variable | Guidance |
---|---|---|
1 | --YN | Variables with the question text "Were there any <events>?" (e.g., “Were there any adverse events?”, “Were there any healthcare encounters?”) are intended to assist in the cleaning of data and in confirming there are no missing values. These questions can be added to any CRF in order to capture this information. |
2 | --CAT and/or --SCAT | Variables are generally not entered on the CRF by sites. Implementers may prepopulate and display these category values to help site personnel understand what data should be recorded on the CRF. Implementers may also prepopulate hidden variables with the values assigned within their operational database. Categories and subcategories are typically evident from the protocol design, and could be populated during SDTM dataset creation. |
3 | Date and Time Variables |
|
--COCCUR variable | (see Section 3.4, How to Collect New Data Collection Fields When No CDASHIG Field Has Been Defined, category 3) may be used when a specific event is solicited (preprinted) on the CRF and the CRF uses a sponsor-defined codelist. For example, a sponsor may combine the concepts of the CDASH OCCUR variable while also allowing for a "NOT DONE" response. Because the SDTM Controlled Terminology for --OCCUR only includes "N", "Y", and "UNKNOWN" responses, if the CDASH variable --OCCUR is used, the CRF would require a second question to indicate that the data were not collected. The CDASH variable --COCCUR is only used when events are prespecified. | |
--REASND | variable is used in conjunction with SDTM variable --STAT. The value "NOT DONE" in --STAT indicates that the subject was not questioned about the event or that data was not collected; it does not mean that the subject had no events. | |
The CDASH --SPID | variable may be populated by the sponsor's data collection system. If collected, it can be beneficial to use an identifier in a data query to communicate clearly to the site the specific record in question. This field may be populated by the sponsor's data collection system | |
Coding |
| |
Location (--LOC, --LAT, --DIR, --PORTOT) |
|
The following should be used when the observation class for fields in a domain are Findings.
Num | Data Collection Field(s) | Guidance |
---|---|---|
--CAT and/or --SCAT | are generally not entered on the CRF by sites. Implementers may prepopulate and display these category values to help site personnel understand what data should be recorded on the CRF. Implementers may also prepopulate hidden variables with the values assigned within their operational database. Categories and subcategories that are not collected and are self-evident from the protocol design are populated during the creation of the SDTM submission dataset. | |
--PERF and --STAT | defines - variables to record whether an assessment has been performed/collected. --REASND is used to collect a reason why an assessment was not done.
| |
--SPID variable | may be populated by the sponsor's data collection system. If collected, it can be beneficial to use an identifier in a data query to communicate clearly to the site the specific record in question. This field may be populated by the sponsor's data collection system. | |
Date and Time Variables |
| |
Horizontal (Denormalized) and Vertical Data Structures (Normalized) |
| |
Tests and Original Results |
| |
Location Variables (--LOC, --LAT, --DIR, --PORTOT) |
| |
–ORRES, --RES, --DESC, and --RESOTH |
| |
| ||
It is assumed that implementers will add other data variables as needed to meet protocol-specific and other data collection requirements (e.g., therapeutic area-specific data elements; others as required per protocol, business practice, or operating procedures) to Findings and Findings About domains. |
- No labels