Qualitative Interview Data on Autistic Medical Students

Featuring qualitative interview data from 5 participants in the 'Autistic Medical Students' online support group. It explores themes of medical culture, belonging, safety, and systemic ableism. The data is stored in an XLS file.

Use Cases

• Analyze interview transcripts for themes like 'medical culture' and 'weaponised professionalism' to understand systemic challenges.
• Examine the qualitative impact of peer support ('real modelling') on participants' wellbeing and ability to advocate for accommodations.
• Study the development of social relationships and self-identity through 'autistic peer-to-peer communication' as described in the interviews.

Strengths

• Data is derived from verbatim transcriptions of semi-structured interviews, providing direct participant accounts.
• The study focuses on a specific, under-researched population: members of an international autistic medical student support group.
• The dataset is openly available under a CC BY 4.0 license.

Limitations

• The dataset is very small, with only 5 participant interviews, limiting statistical generalizability.
• As a qualitative study, the data consists of text transcripts requiring thematic analysis rather than numerical modeling.
• The 5.5 KB file size indicates a limited scope, likely containing summaries or coded themes rather than full interview texts.

Provenance

Source

figshare, authored by Samantha Cooper.

Collection Method

Semi-structured, 1:1 interviews conducted via Zoom, audio recorded, transcribed verbatim, and analyzed using interpretive phenomenological analysis.

Time Range

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Freshness

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Geography

Participants were from an international online support group; specific countries are not stated.