Presentation is loading. Please wait.

Presentation is loading. Please wait.

Edith Burns, MD Medical College of Wisconsin Milwaukee, WI.

Similar presentations


Presentation on theme: "Edith Burns, MD Medical College of Wisconsin Milwaukee, WI."— Presentation transcript:

1 Edith Burns, MD Medical College of Wisconsin Milwaukee, WI

2 T2DM 92% of all diabetes 10% of adults 20% of adults > 65 years of age High cost Treatment, management Complications

3 Optimum management requires patients to take volitional control of a process that is automatic in healthy individuals Self-regulation/Control processes take place in “real world” settings- day-to-day life at home, work

4 Common-sense Models of Illness Life experience of acute illness teaches us to use symptoms as indicators of sickness-wellness In most chronic illnesses, symptoms are unreliable as indicators of disease status Better to utilize objective measures by performing self-monitoring (e.g., SMBG, BP)

5 T2DM is a “chaotic” disease – Multiple factors contribute to acute fluctuations in blood glucose levels – Individual SMBG measures at any given point in time may provide ambiguous feedback Can we teach patients to learn to use SMBG more effectively to become better self managers of a chaotic disease?

6 Study Design Test an automated reminder and feedback system (ASMM) Randomized, prospective, “usual care” control System provides reminders AND feedback Usual CareIntervention ASMM Non-vets T2DM 50 VA T2DM50 Total of 200 participants Four in-home visits; intervention begins at visit 2 after 3 months. Exit interview at 15 months.

7 Qualities Desired in the Assisted-Self- Management Monitor (ASMM) Physical Properties Home-based Small footprint Limited components Installation Ease of use Simple docking system “Hidden” technology Ability to individualize Reminders PCP & participant-determined schedule Patient “controls” the technology

8

9 Qualities Desired in the Assisted-Self- Management Monitor (ASMM), continued Feedback Timely – importance of what the results mean at the time Scheduled measures Unscheduled measures Symptoms? Relationship to management behaviors (timing) Diet Exercise Overall control Trend data Minimizes “catastrophizing” of single readings

10 NO Symptoms Can do what Need & want To do Dr. Says Test Shows HIGH Blood Sugar Answer Okay No Symptoms Ask Myself How do I feel? Should I take meds, diet to control diabetes if I feel Okay? Act Plan Use the glucometer & computer Monitor & Appraise blood sugar readings If high: Take medication, exercise, etc. Act Plans Take meds, exercise! NO It’s time to test my blood sugar Monitor Blood Sugar Readings: Objective Measures I don’t know my blood sugar level – I can’t feel it Proper timing and consideration is necessary for this to work- DO THE NUMBERS MAKE SENSE?!!

11 Light-blue boxes = computer logic Green boxes = patient input Individualized in logic: 1) scheduled glucose reading times, 2) goals for scheduled time for trend summary Trend summary begins after 10 readings SD based on 25 readings

12 System Demonstration

13 Co-Investigators & Research Team Jeffrey Whittle, MD Paul Knudson, MD Sergei Tarima, PhD Bambi Wessel, MS Alexis Dye, MA Stephen Flax, PhD Joan Pleuss, CDE, RD Colin Strub, BS Kristin Wiescorek, BS Howard Leventhal, PhD 1 1 Center for Health & Behavior, Rutgers University and UMDNJ, New Brunswick, NJ

14

15 SUMMARY Increasing frequency and consistency of SMBG led to improved glycemic control Higher baseline depression scores had higher baseline HbA1c and showed greater improvement over time Improvement in HbA1c was not correlated to baseline cognitive function

16 Expanded study to rigorously test this system –Illness cognition, change over time –Reminder function –Expanded feedback Trends in control Unscheduled measures Relating measures to diet and activity


Download ppt "Edith Burns, MD Medical College of Wisconsin Milwaukee, WI."

Similar presentations


Ads by Google