A quick method to customize pictorial blood assessment tools towards better measurement: Method development and validation

Chien Ming Chen, Yu Hwei Tseng, Sunny Jui-Shan Lin, Li Li Chen, Jun Dai Lin, Yi Chang Su

研究成果: Article同行評審

摘要

Objective: Identification of heavy menstrual bleeding (HMB) cases in primary care settings is often done by using pictorial blood assessment charts (PBAC). The study aims to highlight the challenge of assessing blood loss, to develop a standardized method to efficiently customize a patient-reported pictorial chart, to validate the tool produced with our proposed method, and to demonstrate the feasibility of using PBACs in settings where resources are scarce. Materials and methods: Using blood samples and feedback from 21 women aged 30–51 years, we followed guidelines suggested in the literature, developed a method to produce PBACs for regular, long and night sizes, and had 9 participants testuse them. Linear regression analysis was performed to determine the correlation between participants’ scores and menstrual blood weight. Results: The study demonstrated the feasibility of customizing product-sensitive and size-specific pictorial charts by adopting essential steps including collecting menstrual blood with menstrual cups, employing fluid application techniques, and using sanitary pads as icons for easy identification. Linear regression analyses of score versus blood weight showed that the recorded blood weight was around 95% of the scored values (R2 = 0.9428, 0.947, and 0.9508, respectively; p < 0.001). Conclusion: Valid patient-reported PBACs created by the proposed method provides an innovative women's healthcare solution to assist HMB identification and reduce health expenditure by preventing risks for HMB related complications in varying economic and technological contexts. Women's participation in tracking menstrual abnormalities may improve health literacy.

原文English
頁(從 - 到)506-512
頁數7
期刊Taiwanese Journal of Obstetrics and Gynecology
63
發行號4
DOIs
出版狀態Published - 2024 7月

All Science Journal Classification (ASJC) codes

  • 婦產科

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