The Findings About Events or Interventions structure, referred to as the FA Structure in this section, represents collected data about an event or intervention that cannot be represented within an event or intervention record or as a supplemental qualifier to such a record. The variable --OBJ is unique to the FA Structure and is used with FATESTCD to represent what the topic of the observation is. FATESTCD describes the measurement/evaluation and FAOBJ describes the event or intervention that the measurement/evaluation is about. When collected data will be represented in a qualifier variable and are represented in the FA domain, the name of the variable will be used as the value of FATESTCD (e.g., FATESTCD = "OCCUR" and FATEST = "Occurrence Indicator"). The use of the same names (e.g., OCCUR) for both qualifier variables in the observation classes and FATESTCD is deliberate, but should not lead implementers to conclude that the collection of such data (e.g., occurrence) must be stored in the FA domain. If the data describe the underlying event or intervention as a whole and share its timing, then the data should be stored as a qualifier of the general observation-class record. A record in FA may or may not have a parent record in an events or interventions domain. If an FA record does have a parent record, the value in FAOBJ should match the value in --TERM or --TRT, unless the parent domain is dictionary coded or subject to controlled terminology. In such cases, the value represented in FAOBJ will match the value represented in --DECOD.
When to Use the FA Structure
The FA structure will be used when the following criteria are met:
Creating FA Datasets
Applicants may choose to represent data in a single FA dataset, split FA datasets, or in separate datasets with unique custom 2-character domain codes.
For example, if findings about clinical events and findings about medical history are collected in a study, these could be represented as:
- A single FA domain, perhaps separated with different FACAT and/or FASCAT values
- A split FA domain following the guidance in Section 4.1.7, Splitting Domains:
- The DOMAIN value would be “FA”.
- Variables that require a prefix would use “FA”.
- The dataset names would be the domain name plus up to 2 additional characters indicating the parent domain (e.g., FACE for Findings About Clinical Events, FAMH for Findings About Medical History). This naming convention may be used for an FA domain that has a parent domain even when the study has only 1 FA dataset that is not being split.
- FASEQ must be unique within USUBJID for all records across the split datasets.
- Supplemental qualifier datasets would need to be managed at the split-file level (e.g., suppface.xpt, suppfamh.xpt). Within each supplemental qualifier dataset, RDOMAIN would be "FA".
- If a dataset-level RELREC is defined (e.g., between the CE and FACE datasets), then RDOMAIN may contain up to 4 characters to effectively describe the relationship between the CE parent records and the FACE child records.
- Separate domains where:
- The DOMAIN value is sponsor-defined and does not begin with FA, following examples in Section 6.4.5, Skin Response, which has a domain code of SR.
- All published FA guidance applies, specifically:
- The --OBJ variable cannot be added to a standard Findings domain. A domain is either a Findings domain or a Findings About domain, not one or the other depending on the situation.
- When the --OBJ variable is included in a domain, this identifies it as an FA domain, and the --OBJ variable must be populated for all records.
- All published domain guidance applies, specifically:
- Variables that require a prefix would use the 2-character domain code chosen.
For the naming of datasets with findings about events or interventions for associated persons, refer to the SDTMIG: Associated Persons (available at https://www.cdisc.org/standards/foundational/sdtm).