Diabetes Clinical Trial
Official title:
Motivation Psychology-based Smart Engagement System for Improved Older Adult Chronic Disease Management
In 2010, 25.8 million people in the US, or 8.3% of the population were reported to have
diabetes. Type 2 diabetes mellitus (T2DM) is especially prevalent among older adults: 26.9%
of people 65 years or older have diabetes with 50% being pre-diabetic. Diabetes is the
leading cause of blindness, kidney disease and lower-limb amputation among older adults, and
is also a major risk factor for cardiovascular disease.
Fortunately, diabetes and its related complications are very amenable to lifestyle changes.
Engagement with healthcare providers can significantly affects behavior and disease
management of practices of individuals as does social engagement. The use of mobile
technology and better engagement with providers and peer support networks may support
diabetes self-care management. Individual patient personality attributes may affect the
success of technology interventions.
In this study, the investigators propose to design and test a motivation psychology-based
smart engagement system (MOSES), which is a software application on a digital tablet device.
The pre-loaded tablets will be provided to adults with T2DM (age 60+ with high glucose). The
software will allow the patients to record diabetes self-care activities (exercise, glucose,
nutrition, medication adherence), pursue goals, support communication between the patient and
a health coach, support communication between peer patients, and visualize health status more
easily by patients and providers. This research program will enroll 88 patients (4
intervention groups of 12 persons each and a 40-person control group) in a 90-day pilot study
to test and refine the design of the application and its effectiveness in supporting care
plan goals.
Primary Aim 1: Design, implement, and optimize a motivation psychology-based smart engagement
system (MOSES) for older adults with diabetes.
Secondary Aim 2: Determine if providing older adult diabetic patients to care managers and
peers via a digital tablet-based software application leads to improved diabetes management
as measured by blood glucose control.
Secondary Aim 3: Refine the personality attributes used to tailor the interaction with the
application.
The investigators propose to conduct a 90-day pilot study to establish the effects and value
of MOSES in the management of diabetes. The pilot study will provide initial data to answer
the following research questions: (1) What are the effects of MOSES technology on older
adults' diabetes self-care? (2) What type of social engagement intervention is more effective
for what aspects of diabetes care? (3) What personality characteristics predict older adults'
diabetes self-care?; (4) What personality characteristics moderate the effectiveness of
mobile device (esp. tablet-based) social engagement interventions on older adults' diabetic
care? (5) What model can be developed from our data to predict probability of effective
response to interventions tailored to individual patients, e.g. by message type for clinical,
usage and personality attributes?
Subjects Older adults are the target population for this study. Adult volunteers age 60 and
above with an HbA1C of >7.9% and having the capacity to provide informed consent will be
eligible to participate. Participants will be randomized to usual care or to an intervention
group (described below). Once enrolled in the study and randomized to either the intervention
or the control group, the Research Certified Diabetes Educator (CDE) will review all
participants' clinical data and assist with providing feedback messages to the participants
regarding their self-care progress. The Research CDE will alert physicians to any clinical
data that would warrant a change in clinical management (e.g. hyper or hypoglycemia).
Manipulations
There are four manipulations in the experiment: (1) patient recording i.e. using the tablet
and app to track and review progress (this increases mindfulness, engagement, activation, and
informedness, thereby leading to healthier behaviors than the control condition), (2) patient
recording with physician involvement via Health-feed communication messages (in addition to
the benefits listed above, this provides expert feedback from a trusted source on actions,
helps with goal setting, provides motivational reinforcement of positive behavior and
sanction against negative, etc.), (3) patient recording with peer interaction i.e. using
Health-feed messages, Community Views and Health Tournaments (in addition to the benefits
listed for (1), peer effects have been observed in a variety of different settings such as
educational attainment). People tend to emulate the behavior of peers, setting in motion a
cycle of group conformism. People may also be motivated by a desire to compete in a peer
setting, and (4) patient recording with peer interaction AND physician involvement. This
final group will permit analysis of the interaction effects of the two forms of social
engagement. Thus, the experiment will be done with the following groups:
- Group A: the control group, usual care, (n=40)
- Group B: individual patients using app w/o provider support (n=12)
- Group C: individual patients using app w/ provider support (n=12)
- Group D: peer patient teams using app w/o provider support (n=12; 4 teams)
- Group E: peer patient teams using app with provider support (n=12; 4 teams)
Groups will be assigned to achieve age, gender and HbA1C matching at baseline. For groups
with provider engagement (E), the provider (endocrinologist/CDE) will provide initial advice
to the subjects, as well as continuous monitoring. The study will require a dedicated
diabetes educator, who will spend 2 hours a day to keep in touch with the subjects, including
reviewing the activity logs, sending reminder and motivational messages, as well as
moderating the discussions in the peer engagement group. The CDE will triage the text
messages from subjects and trigger the physician engagement when necessary. The study CDE
will review participant data routinely and will maintain communication with the study team on
a timely basis.
During the experiments, adverse events will be closely monitored by the physician and CDE, as
well as through subject self-reports. The MOSES app has a built-in function to highlight
potential adverse effects in the activity list and physician to-do list. The investigators
will also conduct a weekly review of subject activity log.
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