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The impact of data entry structures on perceptions of individuals with chronic mental disorders and physical diseases towards health information sharing.
International Journal of Medical Informatics ( IF 4.9 ) Pub Date : 2020-05-24 , DOI: 10.1016/j.ijmedinf.2020.104157
Pouyan Esmaeilzadeh 1 , Tala Mirzaei 2 , Spurthy Dharanikota 2
Affiliation  

Background and objective

Collecting, integrating, and sharing mental and physical health information can enhance the care process of patients and improve the completeness of patient databases in the health information exchange (HIE) networks. There is a need to encourage patients with physical and mental disorders to share their health information with providers. Data entry interfaces are suggested as an important factor affecting the quality of information. However, little is known about whether individuals with different diseases (mental and physical) care for the data entry structure in sharing personal health information (PHI).

Materials and methods

We conduct four experiments to examine the impact of different health problems (mental vs. physical) and types of data entry interfaces (structured vs. unstructured) on individuals' perceptions of information quality and their willingness to share their health information.

Results

Findings demonstrate that the type of disease and degree of data entry structure significantly influence individuals' perceptions of usefulness, accessibility, concise presentation, understandability, psychological risk, privacy concern, stigma, and willingness to share health information.

Discussion

People with mental disorders prefer structured data interfaces as they perceive that a high degree of data entry structure can protect their privacy and mitigate stigma and psychological risk more than unstructured interfaces. Individuals with physical illnesses favor structured interfaces for their format, which is brief, comprehensive, accessible, useful, and understandable. People suffering from physical diseases are more likely to share their information when a highly-structured data entry interface is used. Moreover, individuals with mental disorders are less likely to disclose their information when providers collect health records using an unstructured data entry interface.

Conclusions

This study suggests that the best level of structure for data entry interfaces could be designed at the point of care consistent with patients' health status and their type of diseases to improve the success of HIE networks.



中文翻译:

数据输入结构对患有慢性精神疾病和身体疾病的个人对健康信息共享的看法的影响。

背景和目标

收集,整合和共享心理和身体健康信息可以增强患者的护理过程,并改善健康信息交换(HIE)网络中患者数据库的完整性。有必要鼓励身体和精神疾病的患者与提供者分享他们的健康信息。建议将数据输入接口作为影响信息质量的重要因素。但是,关于疾病(精神和身体)不同的个体是否在共享个人健康信息(PHI)时是否关心数据输入结构知之甚少。

材料和方法

我们进行了四个实验,以检验不同健康问题(心理健康与身体健康)和数据输入界面类型(结构化与非结构化)对个人对信息质量的感知及其共享健康信息的意愿的影响。

结果

研究结果表明,疾病的类型和数据输入结构的程度会显着影响个人对有用性,可访问性,简明介绍,可理解性,心理风险,隐私问题,污名和共享健康信息的意愿的感知。

讨论区

精神障碍患者更喜欢结构化数据界面,因为他们认为,高度数据输入结构比非结构化界面更能保护自己的隐私并减轻污名和心理风险。身体有病的人喜欢结构化的界面,因为该界面的格式简短,全面,易于访问,有用且易于理解。当使用高度结构化的数据输入界面时,患有身体疾病的人更有可能分享其信息。此外,当提供者使用非结构化的数据输入界面收集健康记录时,患有精神疾病的人不太可能披露其信息。

结论

这项研究表明,可以在与患者的健康状况及其疾病类型相符的护理点上设计最佳数据输入接口结构,以提高HIE网络的成功率。

更新日期:2020-05-24
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