Identifying Patient's Sex in Blinded Illness Narratives
Author Information
Author(s): Andersson Jenny, Salander Pär, Brandstetter-Hiltunen Marie, Knutsson Emma, Hamberg Katarina
Primary Institution: Umeå University
Hypothesis
Can patients' sex be identified from their illness narratives when gender indicators are removed?
Conclusion
Participants were able to identify gender differences in illness narratives, but their interpretations were influenced by gender stereotypes.
Supporting Evidence
- Participants identified the patient's sex correctly in 62% of cases.
- Male narratives were identified more accurately than female narratives.
- Participants' reasoning reflected common gender stereotypes.
- Success rates varied significantly across different letters.
Takeaway
The study shows that people can guess if a patient is a man or a woman based on how they write about their illness, but they often rely on stereotypes.
Methodology
Participants read 81 blinded letters from cancer patients and guessed the author's sex, explaining their reasoning.
Potential Biases
Participants' interpretations were influenced by their preconceptions about gender, leading to potential biases in their judgments.
Limitations
The study's sample consisted mainly of university students, which may not represent the general population.
Participant Demographics
130 participants, aged 18 to 42, with 45 men and 85 women.
Statistical Information
P-Value
p<0.000
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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