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Table 1 The 17 data collection categories

From: Using systematic data categorisation to quantify the types of data collected in clinical trials: the DataCat project

Category

Example

Outcomes

 1. Primary Outcome

As identified in the trial protocol

 2. Primary outcome but not primary analysis

Primary outcome is weight loss at 12 months but weight loss is also measured at 3 months

 3. Secondary Outcomes

As designated in the trial protocol

 4. Outcome data not listed as primary, secondary or health economics outcome

 

 5. Items from a core outcome set

 

 6. Health Economics

 

Non-outcomes

 7. Participant identification items

Participant ID, postal contact details, general practitioner name and contact details

 8. Items needed for randomisation

Age, sex, site

 9. Eligibility

 

 10. Demographics

Age, sex, family history of condition of interest

 11. Medical History

 

 12. Data Management Item

Visit number

 13. Safety Data

Concomittant medications

 14. Regulatory Data

Deviation logging, reason for withdrawal

 15. Compliance Data

Dose administered, tablets taken or returned, confirmation of completed processes, randomisation allocation

 16. Process Outcomes

How much blood was collected, who delivered the educational information

 17. Miscellaneous

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