The Role of Information and Communication Technology in Self-Management of Chronic Diseases: An Empirical Investigation through Value Sensitive Design

Dadgar, Majid; Joshi, Kailash

doi:10.17705/jais1.00485

Cited by 37 publications

(31 citation statements)

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“…Emerging from the domain of human-computer interaction (HCI) and ICT, VSD has since developed into a largely adopted design approach to incorporate human values (and perhaps even non-human) values during both the early and latter design phases of technologies [23,28]. Since its inceptions in the early 1990s, VSD has been adopted as a proposed framework for the design of identity technologies [25], energy technologies such as wind turbines [19,24], robotics and autonomous agents such as care robots, autonomous vehicles, and AI in the medical field [20,[29][30][31][32], information and communication technologies such as sensors and communicative computer software [33][34][35][36][37][38], health technologies such as ambulatory therapeutic assistance systems and seizure detectors [39][40][41][42], and nanotechnology both in its advanced and contemporary forms [43][44][45]. VSD is described by its founders Batya Friedman et al, as a tripartite framework consisting of conceptual, empirical and technical investigations [23].…”

Section: Methodsmentioning

confidence: 99%

Beneficial Artificial Intelligence Coordination by Means of a Value Sensitive Design Approach

Umbrello¹

2019

BDCC

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This paper argues that the Value Sensitive Design (VSD) methodology provides a principled approach to embedding common values into AI systems both early and throughout the design process. To do so, it draws on an important case study: the evidence and final report of the UK Select Committee on Artificial Intelligence. This empirical investigation shows that the different and often disparate stakeholder groups that are implicated in AI design and use share some common values that can be used to further strengthen design coordination efforts. VSD is shown to be both able to distill these common values as well as provide a framework for stakeholder coordination.

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Section: Methodsmentioning

confidence: 99%

Beneficial Artificial Intelligence Coordination by Means of a Value Sensitive Design Approach

Umbrello¹

2019

BDCC

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“…M-health data on applications, such as Glucose buddy, can be shared with health care providers. However, this may leave patients to feel vulnerable when their health care providers do not provide empathy or solutions when they are sharing their high glucose readings [28]. A lack of empathy and concern by the people who patients deem as important may lead to the discontinued use of m-health applications.…”

Section: Social Influencementioning

confidence: 99%

Barriers for User Acceptance of Mobile Health Applications for Diabetic Patients: Applying the UTAUT Model

Petersen

Jacobs

Pather

2020

Lecture Notes in Computer Science

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The literature illustrates that technology will widen health disparity if its use is restricted to patients who are already motivated and demonstrate good self-management behaviours. Additionally, despite the availability of free mobile health (m-health) applications for diabetes self-management, usage is low. There are also limited studies of m-health acceptance in South Africa. This research is delineated to the Western Cape, South Africa. The populace suffers from increasing numbers of diabetic patients. Segments of the population also suffer from technological forms of exclusion, such as limited internet access. Therefore, the objective of this study was to identify challenges for user acceptance that discourages the use of m-health applications. This study analysed 130 semi-structured interviews, using thematic content analysis. Respondents were predominantly female with type 2 diabetes, older than 50, residing in the Western Cape. It used key constructs from the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The results confirmed that all four UTAUT constructs; performance expectancy ("the degree to which an individual believes that using the system will help him or her to attain gains in performance"), effort expectancy ("the degree of ease associated with the use of the system", social influence ("the degree to which an individual perceives that important others believe he or she should use the new system") and facilitating conditions ("the degree to which an individual believes that an organisational and technical infrastructure exists to support the use of the system"), explains the challenges for m-health acceptance in low socio-economic areas. Factors such as technology anxiety, resistance to change and a lack of trust in the use of devices for self-management need to be considered when implementing future interventions.

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“…Studies show a reduction in number of hospitalizations and time spent in ambulatory care, because patients gain access to information in support of self-care [18]. In fact, HIS are said to support selfmanagement of diseases and help improve the lives of patients suffering from chronic conditions [4]. Furthermore, studies report on patients who experience that HIS help them describe their health status in greater detail and more objectively than previously [24].…”

Section: Background Literaturementioning

confidence: 99%

Improving the Patient-Physician Dialogue through Health Information Systems (HIS): Misconceptions and Miscommunication

Kishik¹,

Müller²,

Stampe³

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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This paper looks at the use of Health Information Systems (HIS) from a communication perspective. Drawing on Niklas Luhmann's systems theory, we analyze patients' self-observations in relation to their disease, as well as physicians' observations of PRO data collected via a mobile application. Based on the analysis, we argue that patient-physician miscommunication occurs, and that the premises of HIS supported information sharing rest on a too simplistic conceptualization of communication. Conclusively, we discuss the implications for the use of HIS instruments in support of patient-physician information sharing, communication, and understanding.

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The Role of Information and Communication Technology in Self-Management of Chronic Diseases: An Empirical Investigation through Value Sensitive Design

Cited by 37 publications

References 0 publications

Beneficial Artificial Intelligence Coordination by Means of a Value Sensitive Design Approach

Beneficial Artificial Intelligence Coordination by Means of a Value Sensitive Design Approach

Barriers for User Acceptance of Mobile Health Applications for Diabetic Patients: Applying the UTAUT Model

Improving the Patient-Physician Dialogue through Health Information Systems (HIS): Misconceptions and Miscommunication

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