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More than blood: app-tracking reveals variability in heavy menstrual bleeding construct

BACKGROUND: Heavy menstrual bleeding (HMB) is associated with impaired quality of life and may signal serious health problems. Unresolved challenges in measuring menstrual bleeding and identifying HMB have hampered research and clinical care. Self-reported bleeding histories are commonly used but th...

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Autores principales: Shea, Amanda A., Wever, Fiorella, Ventola, Cécile, Thornburg, Jonathan, Vitzthum, Virginia J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088691/
https://www.ncbi.nlm.nih.gov/pubmed/37041503
http://dx.doi.org/10.1186/s12905-023-02312-4
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author Shea, Amanda A.
Wever, Fiorella
Ventola, Cécile
Thornburg, Jonathan
Vitzthum, Virginia J.
author_facet Shea, Amanda A.
Wever, Fiorella
Ventola, Cécile
Thornburg, Jonathan
Vitzthum, Virginia J.
author_sort Shea, Amanda A.
collection PubMed
description BACKGROUND: Heavy menstrual bleeding (HMB) is associated with impaired quality of life and may signal serious health problems. Unresolved challenges in measuring menstrual bleeding and identifying HMB have hampered research and clinical care. Self-reported bleeding histories are commonly used but these may be influenced by recall bias, personal beliefs regarding “normal” flow volume, and the experience of other physical symptoms or disruptions to daily life. The potential usefulness of menstrual-tracking mobile applications, which allow real-time user-entered data recording, for assessing HMB has not been studied. We evaluated recall bias in reported period duration, the relationship of tracked period duration and daily flow volume to subsequently reported period heaviness, variation in quality of life associated with increasing period heaviness, and the advantages and limitations of using app-tracked data for clinical and research purposes. METHODS: An online questionnaire was distributed to current users of Clue, a commercially available menstrual health tracking app, asking them to characterize their last period. We compared responses to the user’s corresponding Clue app-tracked data. The study sample comprised 6546 U.S.-based users (aged 18–45 years). RESULTS: Increasing reported heaviness was associated with increasing app-tracked period length and days of heavy flow, impaired quality-of-life (especially body pain severity), and disrupted activities. Of those reporting having had a heavy/very heavy period, ~ 18% had not tracked any heavy flow, but their period length and quality-of-life indicators were similar to those who had tracked heavy flow. Sexual/romantic activities were the most affected across all flow volumes. Compared to app-tracked data, 44% recalled their exact period length; 83% recalled within ± 1 day. Overestimation was more common than underestimation. However, those with longer app-tracked periods were more likely to underestimate period length by ≥ 2 days, a pattern which could contribute to under-diagnosis of HMB. CONCLUSION: Period heaviness is a complex construct that encapsulates flow volume and, for many, several other bleeding-associated experiences (period length, bodily impairments, disruptions of daily activities). Even very precise flow volume assessments cannot capture the multi-faceted nature of HMB as experienced by the individual. Real-time app-tracking facilitates quick daily recording of several aspects of bleeding-associated experiences. This more reliable and detailed characterization of bleeding patterns and experiences can potentially increase understanding of menstrual bleeding variability and, if needed, help to guide treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12905-023-02312-4.
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spelling pubmed-100886912023-04-12 More than blood: app-tracking reveals variability in heavy menstrual bleeding construct Shea, Amanda A. Wever, Fiorella Ventola, Cécile Thornburg, Jonathan Vitzthum, Virginia J. BMC Womens Health Research BACKGROUND: Heavy menstrual bleeding (HMB) is associated with impaired quality of life and may signal serious health problems. Unresolved challenges in measuring menstrual bleeding and identifying HMB have hampered research and clinical care. Self-reported bleeding histories are commonly used but these may be influenced by recall bias, personal beliefs regarding “normal” flow volume, and the experience of other physical symptoms or disruptions to daily life. The potential usefulness of menstrual-tracking mobile applications, which allow real-time user-entered data recording, for assessing HMB has not been studied. We evaluated recall bias in reported period duration, the relationship of tracked period duration and daily flow volume to subsequently reported period heaviness, variation in quality of life associated with increasing period heaviness, and the advantages and limitations of using app-tracked data for clinical and research purposes. METHODS: An online questionnaire was distributed to current users of Clue, a commercially available menstrual health tracking app, asking them to characterize their last period. We compared responses to the user’s corresponding Clue app-tracked data. The study sample comprised 6546 U.S.-based users (aged 18–45 years). RESULTS: Increasing reported heaviness was associated with increasing app-tracked period length and days of heavy flow, impaired quality-of-life (especially body pain severity), and disrupted activities. Of those reporting having had a heavy/very heavy period, ~ 18% had not tracked any heavy flow, but their period length and quality-of-life indicators were similar to those who had tracked heavy flow. Sexual/romantic activities were the most affected across all flow volumes. Compared to app-tracked data, 44% recalled their exact period length; 83% recalled within ± 1 day. Overestimation was more common than underestimation. However, those with longer app-tracked periods were more likely to underestimate period length by ≥ 2 days, a pattern which could contribute to under-diagnosis of HMB. CONCLUSION: Period heaviness is a complex construct that encapsulates flow volume and, for many, several other bleeding-associated experiences (period length, bodily impairments, disruptions of daily activities). Even very precise flow volume assessments cannot capture the multi-faceted nature of HMB as experienced by the individual. Real-time app-tracking facilitates quick daily recording of several aspects of bleeding-associated experiences. This more reliable and detailed characterization of bleeding patterns and experiences can potentially increase understanding of menstrual bleeding variability and, if needed, help to guide treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12905-023-02312-4. BioMed Central 2023-04-11 /pmc/articles/PMC10088691/ /pubmed/37041503 http://dx.doi.org/10.1186/s12905-023-02312-4 Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Shea, Amanda A.
Wever, Fiorella
Ventola, Cécile
Thornburg, Jonathan
Vitzthum, Virginia J.
More than blood: app-tracking reveals variability in heavy menstrual bleeding construct
title More than blood: app-tracking reveals variability in heavy menstrual bleeding construct
title_full More than blood: app-tracking reveals variability in heavy menstrual bleeding construct
title_fullStr More than blood: app-tracking reveals variability in heavy menstrual bleeding construct
title_full_unstemmed More than blood: app-tracking reveals variability in heavy menstrual bleeding construct
title_short More than blood: app-tracking reveals variability in heavy menstrual bleeding construct
title_sort more than blood: app-tracking reveals variability in heavy menstrual bleeding construct
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088691/
https://www.ncbi.nlm.nih.gov/pubmed/37041503
http://dx.doi.org/10.1186/s12905-023-02312-4
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