Large-scale characterization of gender differences in diagnosis prevalence and time to diagnosis.

Autor:	Sun TY; Department of Biomedical Informatics, Columbia University; New York City, USA., Hardin J; Janssen Research and Development; Titusville, USA., Nieva HR; Department of Biomedical Informatics, Columbia University; New York City, USA.; Department of Medicine, Harvard Medical School; Boston, USA., Natarajan K; Department of Biomedical Informatics, Columbia University; New York City, USA., Cheng RF; Gender Equality Division, Bill and Melinda Gates Foundation; Seattle, USA., Ryan P; Janssen Research and Development; Titusville, USA., Elhadad N; Department of Biomedical Informatics, Columbia University; New York City, USA.
Jazyk:	angličtina
Zdroj:	MedRxiv : the preprint server for health sciences [medRxiv] 2023 Oct 16. Date of Electronic Publication: 2023 Oct 16.
DOI:	10.1101/2023.10.12.23296976
Abstrakt:	We carry out an analysis of gender differences in patterns of disease diagnosis across four large observational health datasets and find that women are routinely older when first assigned most diagnoses. Among 112 acute and chronic diseases, women experience longer lengths of time between symptom onset and disease diagnosis than men for most diseases regardless of metric used, even when only symptoms common to both genders are considered. These findings are consistent for patients with private as well as government insurance. Our analysis highlights systematic gender differences in patterns of disease diagnosis and suggests that symptoms of disease are measured or weighed differently for women and men. Data and code leverage the open-source common data model and analytic code and results are publicly available. Competing Interests: Competing interests: PBR and JH are employees of Janssen Research and shareholders of Johnson & Johnson. NE received research grant from Health of Women, Office of the Chief Medical Officer, Johnson & Johnson to support this research. All other authors declare no competing interests. Janssen and Johnson & Johnson had no input in the design, execution, interpretation of results, or decision to publish.
Databáze:	MEDLINE
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