Premenstrual Syndrome Diagnosis: A Comparative Study between the Daily Record of Severity of Problems (DRSP) and the Premenstrual Symptoms Screening Tool (PSST)

Abstract Objective  To validate the premenstrual symptoms screening tool (PSST) in relation to the daily record of severity of problems (DRSP) for premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) diagnoses. Methods  A cross-sectional study with 127 women (20–45 years) with PMS...

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Published inRevista Brasileira de ginecologia e obstetrícia Vol. 40; no. 1; pp. 020 - 025
Main Authors Henz, Aline, Ferreira, Charles Francisco, Oderich, Carolina Leão, Gallon, Carin Weirich, Castro, Juliana Rintondale Sodré de, Conzatti, Maiara, Fleck, Marcelo Pio de Almeida, Wender, Maria Celeste Osório
Format Journal Article
LanguageEnglish
Portuguese
Published Rio de Janeiro, Brazil Thieme Revinter Publicações Ltda 01.01.2018
Federação Brasileira das Sociedades de Ginecologia e Obstetrícia
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Summary:Abstract Objective  To validate the premenstrual symptoms screening tool (PSST) in relation to the daily record of severity of problems (DRSP) for premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) diagnoses. Methods  A cross-sectional study with 127 women (20–45 years) with PMS complaints. The women were evaluated in terms of weight, height and body mass index (BMI). After using the primary care evaluation of mental disorders (PRIME-MD) questionnaire to exclude the diagnosis of depression, the PSST was completed and the women were instructed to fill out the DRSP for two consecutive menstrual cycles. The agreement between the two questionnaires was assessed by the Kappa (k) and the prevalence-adjusted, bias-adjusted kappa (PABAK) values. Results  Two-hundred and eighty-two women met the eligibility criteria and answered the PSST. The DRSP was completed for two cycles by 127 women. The percentages of women with PMS and PMDD diagnoses by the DRSP were 74.8% and 3.9% respectively; by PSST, the percentages were41.7% and 34.6% respectively. The number of patients considered “normal” (with symptoms below the threshold for the diagnosis of PMS) was similar in both questionnaires. There was no agreement (Kappa = 0.12) in the results of PMS/ PMDD diagnosis (the PABAK coefficient confirmed this result = 0.39). The PSST had a high sensitivity (79%) and a low specificity (33.3%) for PMS/PMDD diagnosis. Conclusion  The PSST should be considered a diagnostic screening tool. Positive PMS/PMDD cases by PSST should be further evaluated by DRSP to confirm the diagnosis.
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ISSN:0100-7203
1806-9339
1806-9339
DOI:10.1055/s-0037-1608672