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Prevalence and knowledge of heavy menstrual bleeding among gynecology outpatients by scanning a WeChat QR Code.
Su, Sisi; Yang, Xin; Su, Qing; Zhao, Yang.
Affiliation
  • Su S; Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
  • Yang X; Department of Obstetrics and Gynecology, Fujian Nan'an Hospital, Fujian, China.
  • Su Q; Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
  • Zhao Y; Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
PLoS One ; 15(4): e0229123, 2020.
Article in En | MEDLINE | ID: mdl-32240178
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Health Knowledge, Attitudes, Practice / Diagnostic Self Evaluation / Menorrhagia Type of study: Diagnostic_studies / Prevalence_studies / Qualitative_research / Risk_factors_studies Aspects: Patient_preference Limits: Adult / Female / Humans / Middle aged Country/Region as subject: Asia Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2020 Document type: Article Affiliation country: China Country of publication: Estados Unidos
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Health Knowledge, Attitudes, Practice / Diagnostic Self Evaluation / Menorrhagia Type of study: Diagnostic_studies / Prevalence_studies / Qualitative_research / Risk_factors_studies Aspects: Patient_preference Limits: Adult / Female / Humans / Middle aged Country/Region as subject: Asia Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2020 Document type: Article Affiliation country: China Country of publication: Estados Unidos