Polycystic Ovary Syndrome Underdiagnosis Patterns by Individual-level and Spatial Social Vulnerability Measures
Authors' conclusion
We observed individual-level and spatial disparities within the PCOS diagnosis. Further research should explore drivers of disparities for earlier intervention.
Study context
- Population
- Patients presenting to Boston Medical Center 2003–2015 for androgen tests, hirsutism, menstrual regularity evaluation, pelvic US or polycystic ovary syndrome (PCOS) (PCOS at-risk cohort)PCOS at-risk cohort
- Participants
- 23,786 patients
- Exposure
- Predictors of missed PCOS diagnosis
- Outcome
- Missed PCOS diagnosis among those meeting algorithm diagnostic criteria for PCOS
Methodological detailselectronic health records, single-centre
- Electronic health records
- Single-centre
Main finding
As reported in the abstract
Missed PCOS diagnosis, adjusted for age, year, education and SVI
Odds ratio (95% CI)
Black/African Americanvs Non-Hispanic White
1.69(1.28–2.24)
Medicaidvs Private insurance
1.90(1.47–2.46)
Charityvs Private insurance
1.90(1.41–2.56)
- Physician-diagnosed PCOS cases
- 1199
- Algorithm PCOS cases
- 730
Observational data: associations, not effects.
Further findings
- Higher social vulnerability index (SVI) scores were associated with increased odds of missed diagnosis in univariate models
Original publication
Polycystic Ovary Syndrome Underdiagnosis Patterns by Individual-level and Spatial Social Vulnerability Measures. J Clin Endocrinol Metab. Published 12 October 2024. doi:10.
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