Hi all,

Please join us for Kenyon Crowley's dissertation proposal defense.

*Date:* Wednesday, April 11th

*Time: *9:00 AM

*Location:* Room 4113

*Committee Members:*
Dr. Beth St. Jean (Chair)
Dr. Brian Butler
Dr. Eun Kyoung Choe
Dr. Guodong (Gordon) Gao

*Title: *Defeating Preventable Chronic Diseases: A Proposed Mixed Methods
Study of a Mobile Care Management Platform

Chronic diseases are among the most widespread, expensive, and preventable
of all health problems, accounting for about 86 percent of the United
States’ $2.7 trillion annual health care expenditures. In the face of such
staggering numbers, it is surprising our current approach to chronic
disease care management has remained largely unchanged for decades, where
the care team evaluates the patient and related data infrequently and
episodically. Fortunately, this may be changing with the introduction of
mobile care management platforms, which can provide more timely and
adaptive ways to empower individuals with chronic diseases like congestive
heart failure and type 2 diabetes, to improve their disease management
self-efficacy and possibly reduce or eliminate their chronic disease burden.

However, there are many unanswered questions surrounding the optimal design
and operation of mobile care management platforms. The proposed study will
apply a mixed methods approach to evaluate a mobile care management
platform with multiple connected medical devices, a smartphone app,
real-time assessment engine and a health coach operations dashboard, as
deployed in Medicaid populations with poorly controlled chronic diseases.
Theory from the information behavior, health behavior change and
information systems literatures will inform the analytical framework. The
anticipated results will provide theoretical and practical guidance to: (a)
inform a deeper understanding of mobile care management platform users
(both consumer and professional users); (b) guide future design of these
sociotechnical systems; and, (c) generate analytical models to make sense
of the diverse mobile care management data streams in novel ways that can
inform a more adaptive and precise future chronic care management paradigm.

Beth St. Jean, Assistant Professor
College of Information Studies - "Maryland's iSchool"
Room 4117K Hornbake Bldg., South Wing
University of Maryland
College Park, MD 20742
(301) 405-6573