Paper Info
Title
Design for Discordant Chronic Comorbidities (DCCs): A DC $$^3$$ Model
Abstract
Patients with complex conditions and treatment plans often find it challenging to communicate with multiple providers and to prioritize various management tasks. The challenge is even greater for patients with discordant chronic comorbidities (DCCs), a situation where a patient has conditions that have unrelated and/or conflicting treatment plans. We present results that highlight these challenges from two studies. The first is a photo-elicitation study with patients with DCCs (n = 16), and the second is an interview study of health providers (n = 8). In an attempt to address these challenges, we introduce a model that captures the different stages of synthesizing information about symptoms and suggested medical treatments, decision making around possible treatment plans including prioritizing different portions of the plan, and implementing their plan. This model is iterative, such that changes in a plan can impact symptoms and necessitate revisiting the plan. We call this model the Discordant Chronic Condition Care (DC $$^3$$ ) model.
Year
DOI
Venue
2021
10.1007/978-3-030-99194-4_22
Pervasive Computing Technologies for Healthcare
Keywords
DocType
Volume
Contextual model, Care and treatment, Type-2 diabetes, Discordant chronic conditions, Information sharing, Decision making
Conference
431
ISSN
Citations 
PageRank 
1867-8211
0
0.34
References 
Authors
7
5
Name
Order
Citations
PageRank
Tom Ongwere100.34
Erik Stolterman292587.35
Patrick C. Shih334131.06
Clawson James400.34
Kay H. Connelly548942.61