ABSTRACT
Background: Polycystic ovarian disease (PCOD) is of clinical and public health importance, as it is very common, affecting up to one in five women of reproductive age, with 70% undiagnosed. ASRM/ESHRE criteria include ultrasound for diagnosis since 2003. Given limited diagnostic tools, a new PCOD scale or questionnaire is being developed to assess symptoms, aiming to enhance patient evaluation.
Objectives: The purpose of this study is to develop a new PCOD scale or questionnaire to assess patients, focusing on the symptoms of PCOD.
Methodology: 277 individuals received a Google Forms questionnaire, categorized into PCOD diagnosis and exclusion criteria, with 174 and 103 respondents respectively. Bio statistical analysis evaluated questionnaire reliability, content validity, sensitivity, and specificity.
Materials and methods: A Likert scale questionnaire, reviewed at Dr. B.R. Ambedkar Medical College, was sent to 277 women aged 18-45 via WhatsApp and email from August 1 to September 15, 2023. Bio statistical analysis on September 16, 2023, evaluated reliability, validity, sensitivity, and specificity, with 174 PCOD-diagnosed respondents
Result: The study confirmed the self-made PCOD diagnosis questionnaire's reliability (Cronbach's alpha: 0.890) and validity (96%). It showed high internal consistency and construct validity. Content validity met the satisfactory level at 96%. Sensitivity identified PCOD-positive cases, while specificity accurately detected PCOD-negative cases at 60.2%.
Conclusion: The study found that women using the self-made questionnaire for early PCOD diagnosis, can score up Points, with surpassing 15.5 indicating a high likelihood of PCOD positivity.
Keywords: Early diagnosis, PCOD, Questionnaire