Comparison of the Diagnostic Values of Premenstrual Syndrome Screening Tool (PSST) and Daily Record of Severity of Problems (DRSP)

Message:
Abstract:
Background And Objective
Premenstrual syndrome (PMS) is the most common complication among women at the reproductive age, which may adversely interfere with daily activities. Due to the high prevalence of PMS in Iran, identification of rapid and effective diagnostic tools is paramount for the correct recognition of this syndrome. This study aimed to compare the predictive values of the Premenstrual Symptoms Screening Tool (PSST) and Daily Record of Severity of Problems (DRSP) in the diagnosis of PMS.
Methods
This cross-sectional study was conducted on 230 female students above 18 years, who were selected using convenience sampling. PSST and DRSP questionnaires were completed on a daily basis during two menstrual cycles of the subjects.
Findings
In this study, rate of the correct classification of PMS symptom severity (mild to severe) by PSST was estimated at 83.9%. Sensitivity and specificity of PSST were 66.3% and 85.6%, respectively. In addition, positive and negative predictive values of PSST were reported to be 96.2% and 33%, respectively. Also, there was a moderate, significant correlation between PSST and DRSP (r=0.38, p<0.001).
Conclusion
According to the results of this study, PSST could be a proper screening tool to identify normal women in clinical situations and diagnose mild PMS accurately. However, it is not an appropriate measure to predict the severity of PMS. In this regard, use of prospective tools could result in a definitive diagnosis of PMS.
Language:
Persian
Published:
Journal of Babol University of Medical Sciences, Volume:17 Issue: 8, 2015
Pages:
27 to 33
magiran.com/p1426526  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!