Table of Contents
Overview
Click here for an overview of features available in StudyTRAX.
What to Consider
Adverse Events
- All of a subject's adverse events are displayed on the Adverse Events tab of the Subject Overview page
- Adverse Events that are not resolved are highlighted red
- A PDF report of all adverse events for the project can be viewed/printed for a desired date range
- Limitations
- The variables cannot be modified
- The report cannot be modified
- An alternate option to using the StudyTRAX Adverse Events feature is to create a variable group with your custom variables and attach the variable group to a non-fixed interval
Change Reason
- When a subject's data is modified the user will be prompted to enter a reason for the data change
- All data changes are tracked in an audit log even if Change Reason is not enabled
Double Data Entry
- A Double Data Entry Delta Report displays error rates and discrepancies between primary and secondary entries
- Only primary entry values are exportable through data sets
- The variables to be double data entered are selected
- The subject's which will be double data entered are selected
Medications
- A Medications tab is displayed on the Subject Overview page where all of a subject's medications are visible
- Medications are selected from a list so they do not have to be typed
- Medications that are available for selection must be added or imported into the central list
- Medications in the central list must include:
- Trade Name
- Generic Name
- Code (a unique identifier for the medication)
- Unit of Measure
- When Medications are entered for a subject they include:
- Medication Name - selected from the list
- Begin Date - must be entered in full date format - mm/dd/yyyy
- End Date - optional but if entered must be in full date format - mm/dd/yyyy
- Dose - must be entered in the unit of measure specified for the medication in the central list
- # / Day - must be entered as a whole number although 0 can be used
- Notes - an optional field
- Data Sets
- Medication Groups can be created to define dose equivalenc scales for related medications
- Medication Groups can be exported in one column of a data set
- Medication Group Dosage and Medication Grouop Exposure (has ever taken) can be exported for a medication group
- Medication Dosage and Medication Exposure (has ever taken) can be exported for medications that are assigned to the project
- Has Ever Taken: Outputs a 0 (No) or 1 (Yes) if the subject has ever taken the medication
- Dosage: Outputs the dosage at an encounter based on the begin/end date of the medication and the date of the encounter
- Limitations
- The subject medication fields cannot be modified
- Only medications assigned to a project can be exported through data sets
Medication Groups can be created from any medications in the central list and then exported
- Alternate options
- Create a Project Variable Group that is a log of all subject medications
- The variables can be customized
- All of a subject's medications will be visible on one form
- When exporting the data each medication will be in a separate column
- Create an Encounter Variable Group and assign to a non-fixed encounter
- The variables can be customized
- Each medication will be a separate non-fixed interval
- A subject report can list all of a subject's medications on one report
- When exporting the data each medication will be in a column
- When it is expected that subjects will have numerous medications this option will result in many non-fixed intervals
- Create a Project Variable Group that is a log of all subject medications
Randomization
- Information about the randomization configuration: Randomization
- Be sure there will be enough subjects to reasonably ensure the distribution across strata blocks are filled when using Stratification Factors
- In pilot studies the limited sample size typically limits the number of strata that can feasibly be used, maybe 1 or 2 variables at most.
The number of strata are multiplicative across variables (e.g., 2 variables with 2 categories each = 4 strata groups)
- In pilot studies the limited sample size typically limits the number of strata that can feasibly be used, maybe 1 or 2 variables at most.
- Review if there are known confounding factors that need to be controlled
- The variables should be controlled in the randomization scheme (e.g., smoking status for a study on lung cancer)
- Consider the main dependent measure and whether any of the proposed stratification varaibles are 1) markedly related or 2) would differentially interact with the intervention
Randomization cannot be removed from a project once subjects are randomized, Likewise, once subjects are enrolled in a project, randomization cannot be added as a feature.
Screening
- Screening is used to determine if a subject meets the criteria to be included in the study
- There can be multiple screening encounters
- Screening encounters can also be used for visits that occur before Baseline/Time 0 but do not affect screening status
- The encounter that is set for Baseline determines the projected date of the follow-up encounters
- Baseline would be set for the visit that starts the timeline and prior visits would be set up as screening visits
- All screening encounters must occur before Baseline/Time 0
- Subjects who have not passed screening (they are still in-process or failed screening) cannot move to their Baseline or Follow-up encounters
Screening cannot be removed from a project once subjects are screened to a project, Likewise, once subjects are enrolled in a project, screening cannot be added as a feature.
Subject Login
- Used to allow subjects to log in and enter data
- Subjects are set up with their own username and password from the Subject Overview page (by users with a Subject Administration role)
- Subjects will only see the forms that are selected
- See the Subject Data Entry page for more details
Versioning
- This is not a common feature and complicates the project setup, verify this feature is desired before enabling
- Versioning must be enabled to use Electronic Signatures
- Unless you are testing the feature, do not turn it on until all the variable groups are created
- With versioning enabled every change to a variable group requires a new version
- Subjects that had data entered using a previous version can be upgraded to the new version of the variable group
- Limitations
- You cannot select which version a subject will be upgraded to, they can only be upgraded to the latest version
- Correcting errors when there are a lot of subjects and/or encounters would require upgrading for each subject's encounter
Electronic Signatures
- Allows a variable group to be electronically signed which locks the values and prevents changes
- Versioning is required to enable Electronic Signatures
- Separate roles are available for users to sign and/or un-sign a variable group
- Variable groups are selected as to whether they can be electronically signed
- Each variable group that is being signed or un-signed is checked and a password entered
Examples
Feature |
Data Entry Example |
Report/Output Example |
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Adverse Events |
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Change Reason |
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Double Data Entry |
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Medications |
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Randomization |
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Screening |
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Subject Login |
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Versioning |
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Electronic Signatures |
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