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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
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)

  • 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

Adverse Events

Change Reason

Double Data Entry

Medications

Randomization

Screening

Subject Login

Examples

 

Versioning

Electronic Signatures



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