Information Seeking and Information Processing Behaviors Among Type 2 Diabetics
October 28, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Sarah Masud Preum, Kate Clark, Ashley Davis, Konstantine Khutsishvilli, Rupa S Valdez
arXiv ID
1910.12444
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Effective patient education is critical for managing Type 2 Diabetes Mellitus (T2DM), one of the most common chronic diseases in the United States. While some studies focus on the information-seeking behavior of T2DM patients, other self-education behaviors including information processing and utilization are rarely explored in the context of T2DM. This study sought to assess two self-education behaviors of type 2 diabetics, namely, information seeking and information processing, to understand more about how these behaviors affect the self-management of this common chronic disease. Semi-structured interviews were conducted with 8 English speaking T2DM patients and qualitative content analysis techniques were performed to analyze their responses. The information seeking and processing behaviors vary across individuals based on their prognosis of T2DM, information needs, and personal preferences. Patients are often dissatisfied with information from official sources, have difficulty evaluating the trustworthiness of information sources, and desire information that is more personally relevant to them. Several participants identified a lack of personalized information as a key factor in the inability to adhere to T2DM management guidelines, which led them to experience increased glucose levels, difficulty managing A1C levels, frustration, and anxiety. They mentioned that they followed trial and error based approaches to tailor information according to their needs and physiological conditions. Many participants identified conflicting or inconsistent information from different sources as a major barrier to information processing. The results of this study indicate a need for authentic, consistent, and individualized information for type 2 diabetics.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted