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Facilitating Data Entry!!

The form designer supports nearly any imaginable form design and layout requirements. In fact, anything that can be done on the web, can be done with StudyTRAX forms. This website is designed as a big-picture guide to functionality supporting form development in StudyTRAX. Please send any questions or feedback to support ( support@sciencetrax.com).

Form Setup

Engage patients and staff with dynamic, easy to use data entry forms.

  • Key Features
    1. Integrated word-processor for layout design, formatting, etc...
    2. Variable level validation part of data definition (e.g., age range from X to Y years).
    3. Broad range of data types and controls
      • Categorical variables
        • Checkboxes
        • PIck lists
        • Radio Buttons
      • Numeric variables
      • Calculated variables
      • Date variables with integrated calendar
      • Text variables
      • Memo fields
      • Documents (i.e., ability to upload a document [e.g., MSword file, pdf file, Excel file, etc.] as part of a form).
    2. Automated layouts, formatting and styles (e.g., MS-Word file, pdf file, Excel file, etc.] as part of a form)
    3. Extensive data validation and skip-logic routines
    4.  
    1. # Dose equivalency scale values
      • Time to study events
      • Status of events (e.g., data at year 3 not due yet)
      • Code study site values
      • Randomization codes
    2. Filters (e.g., query of all those with a 50% or more change in the main study endpoint over time)
    3. Integrated data consolidate routines (e.g., the first and last blood pressure reading for all subjects, independent of start date)
  • *#  
    1. Integrated data cleaning and scrubbing routines
      • Descriptive statistics
      • Outlier identification
      • More...
    2. Export to statistical packages (e.g., SPSS, SAS, Excel) or generic CSV file
  • Examples
    1. Single study dataset of all variables, forms and visits.
    2. Dataset with automatically calculated survival length and censored event variables for generating survival curves.
  • What To Consider
    1. What dataset layout (e.g., one row per subject vs. one row per subject per visit) and data transformations (e.g., recoded variables, calculated variables, etc.) would best facilitate the analytical plan?
    2. What are the planned data queries?
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