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Dataset of "A multi-method approach to drafting candidate entrustable professional activities for a general internal medicine residency programme"

<p>The present Dataset is related to a study on "A multi-method approach to drafting candidate entrustable professional activities for a general internal medicine residency programme" and include :</p> <ul> <li>The&nbsp; "Voting sheet model" used for the 1st round of voting according to the RAND appropriateness method</li> <li>The tables of aggregate results after round 1 and after round 2 of the RAND appropriateness method, with subgroup analysis</li> <li>A document describing which items where chosen to be included in round 2 of voting and why (file name "Summary_Decisions_.....")</li> <li>The list of candidate EPA (Entrustable Professional Activities) selected after 2 round of rating by the expert panel. This list of 225 EPA had not yet undergone the quality check using the EQual-Criteria (DOI: 10.1097/ACM.0000000000001908)</li> </ul> <p><strong><u><span>Methods:</span></u></strong><span> We set up a multi-step approach including a systematic review of the international literature; four national focus groups; a national consensus process using a RAND appropriateness method and a quality check of the </span><u><span>selected candidate EPAs using Equal criteria.</span></u></p> <p><strong><u><span>Results:</span></u></strong><span> </span><span>These steps generated a final list of 247 candidate EPAs in GIM </span><span>that were submitted for the national consensus process. A</span><span>fter two rounds of rating, experts agreed on the appropriateness for the GIM postgraduate training of 225 of the candidate EPAs. Twenty-two of the proposed EPAs were deemed inappropriate and disagreement persisted only for two EPAs.</span><span> </span></p> <p>&nbsp;</p> <p><strong>General description of the data set&nbsp; :</strong></p> <p>o&nbsp;&nbsp; Nature: aggregated, analysed data</p> <p>o&nbsp;&nbsp; Mode of collection: experimental</p> <p>o&nbsp;&nbsp; Format: unstructured text, database</p> <p>&nbsp;</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
12
Harmonization
4
Access
8
Reuse readiness
8
Engagement
8

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