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

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  • 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)

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.

Suggested Citation

  • 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 Tahla, 2024. "Prevalence and Diagnosis of PCOS Using Electronic Health Records: A Scoping Review and a Database Analysis," IJERPH, MDPI, vol. 21(3), pages 1-13, March.
  • Handle: RePEc:gam:jijerp:v:21:y:2024:i:3:p:354-:d:1358030
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    References listed on IDEAS

    as
    1. Fadi G. Mirza & Muna A. Tahlak & Komal Hazari & Amar Hassan Khamis & William Atiomo, 2023. "Prevalence of Polycystic Ovary Syndrome amongst Females Aged between 15 and 45 Years at a Major Women’s Hospital in Dubai, United Arab Emirates," IJERPH, MDPI, vol. 20(9), pages 1-10, May.
    2. Fadi G. Mirza & Muna A. Tahlak & Rachelle Bou Rjeili & Komal Hazari & Farah Ennab & Charlie Hodgman & Amar Hassan Khamis & William Atiomo, 2022. "Polycystic Ovarian Syndrome (PCOS): Does the Challenge End at Conception?," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
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