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Examining How Chronically Ill Patients’ Reactions to and Effective Use of Information Technology Can Influence How Well They Self-Manage Their Illness
MIS Quarterly ( IF 7.3 ) Pub Date : 2020-01-01 , DOI: 10.25300/misq/2020/15103
Azadeh Savoli , Henri Barki , Guy Pare

While chronically ill patients can significantly benefit from self-management (SM) information systems, they are also unlikely to perceive, use, and benefit from them in the same way, and past research has observed that many patients tend to not use such systems effectively. A key premise of the present study is that attributing the cause of one’s success or failure in self-managing one’s chronic disease to SM information systems is likely to influence how patients react to such systems, which in turn is likely to influence their usage behaviors and SM performance. Building upon attribution theory and learned helplessness theory, this paper examines how patients’ causal attributions of their success or failure in selfmanaging their chronic illness tends to influence the way they cognitively perceive, emotionally react to, and use an ITbased SM system. It also examines what constituted effective use in the SM context that was studied and how patients’ effective use of an IT-based SM system tended to influence their SM performance. Based on data collected from patients who were using a web-based asthma SM portal, the paper identifies three SM attributional styles and three patient views of SM information systems that help explain how chronically ill patients tend to interact with such systems, as well as its consequences, and discusses the implications of its findings for research and practice.

中文翻译:

检查慢性病患者对信息技术的反应和有效使用如何影响他们自我管理疾病的能力

虽然慢性病患者可以从自我管理(SM)信息系统中受益匪浅,但他们也不太可能以相同的方式来感知,使用和受益,并且过去的研究已经观察到许多患者往往没有有效地使用此类系统。本研究的关键前提是,将自我管理慢性病成功或失败的原因归因于SM信息系统可能会影响患者对此类系统的反应,进而可能影响其使用行为和SM性能。本文基于归因理论和习得的无助理论,研究了患者在自我管理慢性疾病方面成败的因果关系如何影响他们的认知,情感反应,并使用基于IT的SM系统。它还研究了在所研究的SM环境中什么构成有效使用,以及患者对基于IT的SM系统的有效使用如何影响其SM性能。基于使用基于网络的哮喘SM门户网站的患者收集的数据,本文确定了三种SM归因风格和三种患者对SM信息系统的看法,这些信息有助于解释慢性病患者如何与此类系统互动以及后果,并讨论其发现对研究和实践的意义。
更新日期:2020-01-01
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