Prior to version 6.0, analyses using the
Risk Based Monitoring
(RBM) report were based entirely on one or more domains of the study database and data supplied at the site level. Data was entered manually using
Update Study Risk Data Set
. However, this protocol is inadequate for the study team that wishes to assess data quality for data captured outside of the study database, for endpoints that are captured at either the patient or site level, with considerations for when the data was captured. This includes data from database management systems (queries, CRF entry), randomization systems, protocol deviations or eligibility violations identified through statistical programming, or any deviations identified by clinical monitors while on site. As of version 6.0, RBM analyses can accommodate a supplemental data set. This enhancement enables clinical trial sponsors to specify a data set of additional endpoints that can be included in the RBM report.
The supplemental data set is not considered part of the study folders that can be updated periodically in the form of snapshots, largely because of the variable timing these other data might become available. However, the supplemental data can include complex calculations of the current, more-recent or any past study database for inclusion into the RBM analysis. For example, through the
RBM
dialog users can subset to particular adverse events or health care encounters of interest for analysis. For example, if users were interested solely in adverse events that occurred during health care encounters, the statistical team can develop programming to identify these adverse event records and supply them using the supplemental data set for analysis. Finally, while only subject level outcomes could be provided in version 6.0, version 6.1 accommodates outcomes that are at the site level; these endpoints are distinguished by the absence of a Unique Subject Identifier (
USUBJID
).
Refer to
Risk-Based Monitoring - External Standard - Version 2
for more information, along with specific examples, on the Supplemental standard.
By default, JMP Clinical looks first in the
RBMSupplemental
subfolder found in the user folder (typically located in the
C:\Users\
username
\AppData\Roaming\SAS\JMPClinical\12\JMPC\RBMSupplemental
directory), although supplemental data sets can be stored anywhere.
The Nicardipine sample data included with JMP Clinical, has an example supplemental data set (
rb_en.sas7bdat
, English version) that supplies 5 endpoints, 4 at the subject level and 1 at the site level.
Note
: Selecting the
rb_en.sas7bdat
data set along with the Default Risk Threshold data set results in error. This is because the particular endpoints supplied in the supplemental data set are not included in the default risk threshold data set. Nicardipine has an example risk threshold data set that should be used for this example that is selected as shown below:
Note
: The following changes have made to JMP Clinical 6,1
The
Update Study Risk Data Set
option is accessed using an action button on the
Studies
tab of the JMP Clinical Main . (See below.)
Clicking
Manage Risk Threshold Data Sets...
opens the default risk threshold data set (shown below).
To add new variables from a supplemental data set, click
. An
Add variables from supplemental data
opens. Click
Choose
to open a
Select a SAS data set
showing the contents of the supplemental data set folder. Select the desired supplemental data set and click
Open
. Return to the
Add variables from supplemental data
and click
OK
.
This report adds a number of additional variables (Supplemental, because this is the defined Category in the
rb_en.sas7bdat
data set). This data set can now have rules applied to the variables and can be saved with a new name to be used by the
Risk Based Monitoring
report. Note that the only difference between the data set shown below and the Nicardipine Example risk threshold data set is that there are no rules defined in the data set shown below. The data set as defined below enables an analysis of the supplemental data, but without any coloring of the risk indicators according to any rules.