Zakaria Nasriah, Ramli Rusyaizila
Research Chair of Health Informatics and Promotion.
Medical Informatics and E-learning Unit, Medical Education Department, College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia.
Neuropsychiatr Dis Treat. 2017 Dec 29;14:117-128. doi: 10.2147/NDT.S115261. eCollection 2018.
Psychiatric patients have privacy concerns when it comes to technology intervention in the hospital setting. In this paper, we present scenarios for psychiatric behavioral monitoring systems to be placed in psychiatric wards to understand patients' perception regarding privacy. Psychiatric behavioral monitoring refers to systems that are deemed useful in measuring clinical outcomes, but little research has been done on how these systems will impact patients' privacy.
We conducted a case study in one teaching hospital in Malaysia. We investigated the physical factors that influence patients' perceived privacy with respect to a psychiatric monitoring system. The eight physical factors identified from the information system development privacy model, a comprehensive model for designing a privacy-sensitive information system, were adapted in this research. Scenario-based interviews were conducted with 25 patients in a psychiatric ward for 3 months.
Psychiatric patients were able to share how physical factors influence their perception of privacy. Results show how patients responded to each of these dimensions in the context of a psychiatric behavioral monitoring system.
Some subfactors under physical privacy are modified to reflect the data obtained in the interviews. We were able to capture the different physical factors that influence patient privacy.
在医院环境中，涉及技术干预时，精神科患者存在隐私担忧。在本文中，我们展示了将精神科行为监测系统安置在精神科病房的情景，以了解患者对隐私的看法。精神科行为监测是指那些在测量临床结果方面被认为有用的系统，但关于这些系统如何影响患者隐私的研究却很少。
我们在马来西亚的一家教学医院进行了一项案例研究。我们调查了影响患者对精神科监测系统隐私感知的物理因素。本研究采用了从信息系统开发隐私模型中识别出的八个物理因素，该模型是设计对隐私敏感的信息系统的综合模型。在3个月的时间里，我们对一家精神科病房的25名患者进行了基于情景的访谈。
精神科患者能够分享物理因素如何影响他们对隐私的感知。结果显示了患者在精神科行为监测系统背景下对这些维度的反应。
对物理隐私下的一些子因素进行了修改，以反映访谈中获得的数据。我们能够捕捉到影响患者隐私的不同物理因素。
