Prevalence and Diagnosis of PCOS Using Electronic Health Records: A Scoping Review and a Database Analysis

William Atiomo (), Mohamed Nor Haq Rizwan, Muhammad Hamza Bajwa, Hussain Juzer Furniturewala, Komal Sundeep Hazari, Deemah Harab, Widad Abdelkareem, Sumayya Inuwa, Amar Hassan Khamis, Muna Tahlak and Fadi G. Mirza
Additional contact information
William Atiomo: Department of Clinical Sciences, College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Building 14, Dubai Healthcare City, Dubai P.O. Box 505055, United Arab Emirates
Mohamed Nor Haq Rizwan: Department of Clinical Sciences, College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Building 14, Dubai Healthcare City, Dubai P.O. Box 505055, United Arab Emirates
Muhammad Hamza Bajwa: Department of Clinical Sciences, College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Building 14, Dubai Healthcare City, Dubai P.O. Box 505055, United Arab Emirates
Hussain Juzer Furniturewala: Department of Clinical Sciences, College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Building 14, Dubai Healthcare City, Dubai P.O. Box 505055, United Arab Emirates
Komal Sundeep Hazari: Latifa Women and Children Hospital, Dubai P.O. Box 9115, United Arab Emirates
Deemah Harab: Latifa Women and Children Hospital, Dubai P.O. Box 9115, United Arab Emirates
Widad Abdelkareem: Latifa Women and Children Hospital, Dubai P.O. Box 9115, United Arab Emirates
Sumayya Inuwa: Department of Clinical Sciences, College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Building 14, Dubai Healthcare City, Dubai P.O. Box 505055, United Arab Emirates
Amar Hassan Khamis: Department of Clinical Sciences, College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Building 14, Dubai Healthcare City, Dubai P.O. Box 505055, United Arab Emirates
Muna Tahlak: Latifa Women and Children Hospital, Dubai P.O. Box 9115, United Arab Emirates
Fadi G. Mirza: Latifa Women and Children Hospital, Dubai P.O. Box 9115, United Arab Emirates

IJERPH, 2024, vol. 21, issue 3, 1-13

Abstract: Polycystic ovary syndrome (PCOS) is the most common endocrine disorder affecting women of reproductive age. It increases the risk of type 2 diabetes, cardiovascular disease, endometrial cancer, infertility, gestational diabetes, preeclampsia, and preterm birth. Accurately identifying predictors of these health risks is crucial. Electronic health records (EHRs) offer an affordable approach, however, the validity and reliability of EHRs for PCOS diagnosis are unclear. A scoping review of the literature on the prevalence and reliability of the diagnosis of PCOS using EHRs was performed. An analysis of the feasibility of obtaining diagnostic variables from a PCOS patient database was also carried out. Eight studies met the criteria. The prevalence of PCOS ranged from 0.27% to 5.8%. Reliability varied, with one study reporting a sensitivity of 50% and a specificity of 29%. Another study found a 74.4% agreement between international classification of disease (ICD) codes and clinical criteria. The database analysis found only 13.7%, 8%, and 7.5% of women had all the necessary variables for an objective diagnosis of PCOS using the Rotterdam, National Institutes of Health (NIH), and Androgen Excess and PCOS Society (AEPCOS) criteria, respectively. Using EHRs results in an underestimation of PCOS prevalence compared to other diagnostic criteria, and many women identified may not meet the complete diagnostic criteria. These findings have implications for future research studies on PCOS prevalence and related health risks.

Keywords: polycystic; ovary; syndrome; ICD; diagnosis; scoping; review; electronic; health; records (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2024
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