04.Data collection06.Trial - sporedata/researchdesigneR GitHub Wiki

1. Use cases: in which situations should I use this method?

  • Data collection systems are required for all prospective studies involving collection not happening through pre-existing methods such as electronic health records.
  1. It would be interesting to try to get a count of the number of patients seen in their hospital. Clinicians tend to be overconfident because they see the same patient multiple times, inflating their perception.
  2. Out of the patients they see, only a percentage would consent to participate. The exact percentage depends on a number of factors, such as how much time and effort they would have to make, their potential benefit, etc.
  3. If the trial is in the US, you might want to show them counts from different hospitals through N3C, so that they consider potential partners in a given geolocation.

2. Input: what kind of data does the method require?

  • Data are often captured through electronic data capture (EDC) systems like Redcap to collect the prospective information(intervene and follow patients), but sometimes also through survey systems.

3. Algorithm: how does the method work?

Model mechanics

Reporting guidelines for Methods

  • SPIRIT 2013 Statement: Defining Standard Protocol Items for Clinical Trials [1].

Data science packages

Suggested companion methods

Learning materials

  1. Books *
  2. Articles *

4. Output: how do I interpret this method's results?

Mock conclusions or most frequent format for conclusions reached at the end of a typical analysis.

Tables, plots, and their interpretation

5. SporeData-specific

Templates

Data science functions

References

[1] Chan AW, Tetzlaff JM, Altman DG, Laupacis A, Gøtzsche PC, Krleža-Jerić K, Hróbjartsson A, Mann H, Dickersin K, Berlin JA, Doré CJ. SPIRIT 2013 statement: defining standard protocol items for clinical trials. Annals of internal medicine. 2013 Feb 5;158(3):200-7.

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