基于互联网的强直性脊柱炎患者对移动健康特征偏好的全国性评估

IF 4.4 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Intelligent medicine Pub Date : 2023-05-01 DOI:10.1016/j.imed.2022.05.002
Yiwen Wang , Xiaojian Ji , Lidong Hu, Jian Zhu, Jianglin Zhang, Feng Huang
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引用次数: 0

摘要

背景强直性脊柱炎(AS)通常发生在年轻人身上。导致活动和社会参与受限的功能损伤可能会对一生产生影响。本研究调查了AS对移动健康(mHealth)特征的偏好,这些特征激发了他们的自我管理行为。方法本研究是一项基于互联网的全国性定量研究,基于中国强直性脊柱炎前瞻性成像队列(CASPIC)研究,这是一项全国性的、正在进行的、,与中国智能手机脊椎关节炎管理系统(SpAMS)联合开展的前瞻性队列研究。来自CASPIC的AS参与者被邀请在2019年12月至2020年2月期间报告他们的mHealth偏好。该问卷旨在确定患者对28 mHealth特征的偏好。收集社会形态特征,包括年龄、性别和工作状况。结果在所有在线问卷访问者(n=872)中,93.9%(819/872)的受访者完全完成了问卷并参与了本研究。平均年龄为(33.4±9.0)岁,70.57%(578/819)的受访者为男性。22个(78.57%)特征的平均得分大于4(相似或强烈相似)。运动指令的平均标准差(SD)得分为4.70(0.63),这是最优选的特征,而社交互动特征是最不优选的。女性受访者更喜欢疼痛分析(4.72对4.60,P=0.012),而女性受访者更不喜欢社会互动主题和整个社会互动的所有项目(3.73对3.52,P<;0.001)。此外,年龄≤40岁的受访者更喜欢以下主题:可信度和风格(4.37对4.19,P<;0.001);疾病行动支持(4.55对4.47,P=0.007);和激励(4.35对4.24,P=0.025)。结论AS患者对mHealth的大多数特征表现出极大的兴趣。运动指导和运动计划是最受欢迎的特征,而社交是最不受欢迎的特点。此外,mHealth特征偏好存在性别相关和年龄相关的差异。
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Internet-based nationwide evaluation of patient preferences for mobile health features in ankylosing spondylitis

Background

Ankylosing spondylitis (AS) generally occurs in young adults. The functional impairments resulting in limitation in activities and social participation might exert lifetime impacts. The present study investigated the preferences for mobile health (mHealth) features motivating the self-management behaviors in AS.

Methods

The present study was an internet-based, nationwide quantitative study based on the Chinese Ankylosing Spondylitis Prospective Imaging Cohort (CASPIC) study, which was a nationwide, ongoing, prospective cohort study launched in conjunction with Smart-phone SpondyloArthritis Management System (SpAMS) in China. Participants with AS from the CASPIC were invited to report their mHealth preferences from December 2019 to February 2020. The questionnaire was designed to determine the patient preferences for 28 mHealth features. Sociodemographic characteristics, including age, gender, and work status, were collected.

Results

Among all the visitors to the online questionnaire (n = 872), 93.9% (819/872) respondents fully completed the questionnaire and were enrolled in the present study. The mean age was (33.4 ± 9.0) years, and 70.57% (578/819) of the respondents were males. The mean scores of 22 (78.57%) features were greater than 4 (like or strongly like). The mean standard deviation (SD) score of exercise instructions was 4.70 (0.63), which was the most preferred feature, whereas the social interaction features were preferred the least. Pain analysis was more preferred among female respondents (4.72 vs. 4.60, P = 0.012), whereas all items of the social interaction theme and social interaction as a whole (3.73 vs. 3.52, P < 0.001) were less preferred among female respondents. Additionally, the following themes were more preferred by respondents aged ≤ 40 years: credibility and styling (4.37 vs. 4.19, P < 0.001); disease action support (4.55 vs. 4.47, P = 0.007); and incentivization (4.35 vs. 4.24, P = 0.025).

Conclusion

AS patients show great interest for the majority of mHealth features. Exercise instructions and exercise scheduling are the most preferred features, whereas social interaction is the least preferred feature. In addition, gender-related and age-related differences exist in mHealth feature preferences.

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来源期刊
Intelligent medicine
Intelligent medicine Surgery, Radiology and Imaging, Artificial Intelligence, Biomedical Engineering
CiteScore
5.20
自引率
0.00%
发文量
19
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