Prevalence and knowledge of heavy menstrual bleeding among gynecology outpatients by scanning a WeChat QR Code

Sisi Su, Xin Yang, Qing Su and Yang Zhao

PLOS ONE, 2020, vol. 15, issue 4, 1-11

Abstract: The aim of this study was to assess menstrual blood loss (MBL) and knowledge of heavy menstrual bleeding (HMB) among the gynecology outpatients at Peking University People’s Hospital, by scanning a WeChat (a social media application software developed by Tencent) QR Code using a mobile phone or tablet. This survey was conducted among outpatients who were treated at the Gynecology Department of Peking University People’s Hospital between September 2016 and November 2016. All participants filled up the questionnaires and scales through WeChat: general information questionnaire, Pictorial Blood Loss Assessment Chart (PBAC), Menorrhagia Multi-Attribute Quality-of-Life Scale (MMAS), and HMB knowledge questionnaire. Menstrual blood volume was assessed by the PBAC and self-assessment. Among the 1152 patients who filled out the survey, 77.4% (892/1152) had normal menstrual cycle (assessed by the patients), 15.6% (180/1152) patients described themselves as HMB, whereas the results from PBAC showed that 58.0% (668/1152) had HMB (PBAC ≥100). Among patients with PBAC ≥100, only 26.8% (179/668) patients reported HMB through self-assessment. Regarding its impact on daily life, the MMAS scores of HMB patients (PBAC ≥100) were significantly lower compared to those with normal blood loss (P

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0229123

DOI: 10.1371/journal.pone.0229123

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