Open Access
Open access
BMC Medical Informatics and Decision Making, volume 24, issue 1, publication number 168

WeChat assisted electronic symptom measurement for patients with adenomyosis

Publication typeJournal Article
Publication date2024-06-17
Q1
Q2
SJR1.002
CiteScore7.2
Impact factor3.3
ISSN14726947
Abstract
Purpose

Symptom assessment is central to appropriate adenomyosis management. Using a WeChat mini-program-based portal, we aimed to establish a valid symptom assessment scale of adenomyosis (AM-SAS) to precisely and timely identify needs of symptom management and ultimately, to alert disease recurrence.

Methods

A combination of intensive interviews of patients with adenomyosis and natural language processing on WeChat clinician-patient group communication was used to generate a pool of symptom items-related to adenomyosis. An expert panel shortened the list to form the provisional AM-SAS. The AM-SAS was built in a Wechat mini-programmer and sent to patients to exam the psychotically validity and clinical applicability through classic test theory and item response theory.

Results

Total 338 patients with adenomyosis (29 for interview, 179 for development, and 130 for external validation) and 86 gynecologists were included. The over 90% compliance to the WeChat-based symptom evaluate. The AM-SAS demonstrated the uni-dimensionality through Rasch analysis, good internal consistency (all Cronbach’s alphas above 0.8), and test-retest reliability (intraclass correlation coefficients ranging from 0.65 to 0.84). Differences symptom severity score between patients in the anemic and normal hemoglobin groups (3.04 ± 3.17 vs. 5.68 ± 3.41, P < 0.001). In external validation, AM-SAS successfully detected differences in symptom burden and physical status between those with or without relapse.

Conclusion

Electronic PRO-based AM-SAS is a valuable instrument for monitoring AM-related symptoms. As an outcome measure of multiple symptoms in clinical trials, the AM-SAS may identify patients who need extensive care after discharge and capture significant beneficial changes of patients may have been overlooked.

Trial registration

This trial was approved by the institutional review board of the Chongqing Medical University and three participating hospitals (Medical Ethics Committee of Nanchong Central Hospital, Medical Ethics Committee of Affiliated Hospital of Southwest Medical University, and Medical Ethics Committee of Haifu Hospital) and registered in the Chinese Clinical Trial Registry (registration number ChiCTR2000038590), date of registration was 26/10/2020.

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Xu Wei et al. WeChat assisted electronic symptom measurement for patients with adenomyosis // BMC Medical Informatics and Decision Making. 2024. Vol. 24. No. 1. 168
GOST all authors (up to 50) Copy
Xu Wei, Zhang X., Xu F., Yuan Y., Tang Y., Shi Q. WeChat assisted electronic symptom measurement for patients with adenomyosis // BMC Medical Informatics and Decision Making. 2024. Vol. 24. No. 1. 168
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TY - JOUR
DO - 10.1186/s12911-024-02570-8
UR - https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-024-02570-8
TI - WeChat assisted electronic symptom measurement for patients with adenomyosis
T2 - BMC Medical Informatics and Decision Making
AU - Xu Wei
AU - Zhang, Xin
AU - Xu, Fan
AU - Yuan, Yuan
AU - Tang, Ying
AU - Shi, Qiuling
PY - 2024
DA - 2024/06/17
PB - Springer Nature
IS - 1
VL - 24
SN - 1472-6947
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2024_Xu Wei,
author = {Xu Wei and Xin Zhang and Fan Xu and Yuan Yuan and Ying Tang and Qiuling Shi},
title = {WeChat assisted electronic symptom measurement for patients with adenomyosis},
journal = {BMC Medical Informatics and Decision Making},
year = {2024},
volume = {24},
publisher = {Springer Nature},
month = {jun},
url = {https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-024-02570-8},
number = {1},
doi = {10.1186/s12911-024-02570-8}
}
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