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题名A fuzzy-set qualitative comparative analysis exploration of multiple paths to users' continuous use behavior of diabetes self-management apps
作者
发表日期2023-04
发表期刊International journal of medical informatics   影响因子和分区
语种英语
原始文献类型Journal Article
关键词Continuous use behavior Diabetes self-management applications Fuzzy-set qualitative comparative analysis Information ecologies
其他关键词INFORMATION-SYSTEMS SUCCESS ; HEALTH APPLICATIONS ; INTENTION ; SATISFACTION ; EXTENSION ; MODELS
摘要

Despite the obvious potential benefits of diabetes self-management apps, users' continuous use of diabetes self-management apps is still not widespread. Influential factors coexisted in information ecologies are likely to have a synthetic effect on users' continuous use behavior. However, it is less clear how factors in information ecologies combine to influence users' continuous use behavior., The objectives of this study are to explore combinations of factors (perceived severity, information quality, service quality, system quality, and social influence) in information ecologies that lead to users' continuous use behavior of diabetes self-management apps and which combination is the most important., Purpose sampling was used to recruit diabetes self-management app users from July 1, 2021 to January 31, 2022. Fuzzy-set qualitative comparative analysis (fsQCA) was then employed by conducting necessity and sufficiency analysis., In total 280 diabetes self-management app users participated. The necessity analysis indicated that no single factor was necessary to cause users' continuous use behavior, and the sufficiency analysis identified five different combinations of factors that lead to users' continuous use behavior. Of these five, the combination of high information quality, high service quality, and high social influence was found to be the most important path., Users' continuous use behavior of diabetes self-management apps results from the synergistic effects of factors in information ecologies. The five paths that directly contribute to users' continuous use, as well as the four user types preliminarily identified in this study may provide a reference for healthcare providers and app developers.

资助项目Nature science foundation of Zhejiang Province [LQ21G030017] ; Zhejiang Office of Philsophy and Social Science [22NDQN253YB]
出版者ELSEVIER IRELAND LTD
ISSN1386-5056
EISSN1872-8243
卷号172
DOI10.1016/j.ijmedinf.2023.105000
页数10
WOS类目Computer Science, Information Systems ; Health Care Sciences & Services ; Medical Informatics
WOS研究方向Computer Science ; Health Care Sciences & Services ; Medical Informatics
WOS记录号WOS:000942445400001
收录类别SCIE ; EI ; PUBMED ; SCOPUS
在线发表日期2023-02
EI入藏号20231313804929
EI主题词Economic and social effects
EI分类号454.3 Ecology and Ecosystems ; 903.1 Information Sources and Analysis ; 971 Social Sciences
URL查看原文
PubMed ID36806902
SCOPUSEID2-s2.0-85149154128
Scopus学科分类Health Informatics
引用统计
文献类型期刊论文
条目标识符https://kms.wmu.edu.cn/handle/3ETUA0LF/172791
专题护理学院
附属第一医院_急诊科
其他_附属黄岩医院(台州市第一人民医院)
作者单位
1.School of Nursing,Wenzhou Medical University,Zhejiang,Wenzhou,China;
2.Department of Intensive Care Medicine,Huangyan Hospital,Wenzhou Medical University,Zhejiang,Taizhou,China;
3.Department of Theater,The First Affiliated Hospital of Wenzhou Medical University,Zhejiang,Wenzhou,China;
4.Department of Emergency,The First Affiliated Hospital of Wenzhou Medical University,Zhejiang,Wenzhou,China
第一作者单位护理学院
第一作者的第一单位护理学院
推荐引用方式
GB/T 7714
Gao, Chenchen,Shen, Yucong,Xu, Wenxian,et al. A fuzzy-set qualitative comparative analysis exploration of multiple paths to users' continuous use behavior of diabetes self-management apps[J]. International journal of medical informatics,2023,172.
APA Gao, Chenchen., Shen, Yucong., Xu, Wenxian., Zhang, Yongjie., Tu, Qiongyao., ... & Yang, Yeqin. (2023). A fuzzy-set qualitative comparative analysis exploration of multiple paths to users' continuous use behavior of diabetes self-management apps. International journal of medical informatics, 172.
MLA Gao, Chenchen,et al."A fuzzy-set qualitative comparative analysis exploration of multiple paths to users' continuous use behavior of diabetes self-management apps".International journal of medical informatics 172(2023).

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