 RELEASE DATE: January 5, 2009
EXPIRATION DATE: January 5, 2010
Please complete the form online.
To submit the form via e-mail, click the submit button at the bottom
of the form.
To submit via fax or mail, click the print button at the bottom of
the form and send to:
Mailing: |
Margaret Astrologo
Assistant Director
New York Medical College
Continuing Medical Education
Room 229 – Vosburgh
Valhalla, NY 10595
914.594.4699
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Activity Title: Remote Monitoring in Diabetes Management: New Technologies
for Patient-Centered Care
Program Number: SPCE49008
Target Audience: Nurse Practitioners, Physician Assistants, Nurses,
Certified Diabetes Educators, and Primary Care Physicians
Designated Nursing Contact Hours (with 70% or more correct): 1.25
(1.5 in Iowa and California)
Designated AAPA Category I CME Credit (with 70% or more
correct): 1.25
Successful completion of the self-assessment is required to earn
AAPA Category I CME credit. Successful completion is defined as a
cumulative score of at least 70% correct.
Designated AMA PRA Category 1 Credits™ (with 70% or more correct): 1.0
Goal: To familiarize nurse practitioners, physician assistants, certified
diabetes educators, and primary care physicians with clinical algorithms for the management of patients with
diabetes, new wireless technologies for remote monitoring in
diabetes care, and strategies for accomplishing the transition to
remote monitoring in clinical practice.
We would like your opinion regarding this educational activity.
Please complete this evaluation form, including the self-assessment
questions.
Select your
response using the following scale:
5. Strongly
Agree 4. Agree 3. Neither Agree nor Disagree 2.
Disagree 1. Strongly Disagree
1. As a result of this session, I am
better able to: a. Extrapolate evidence-based algorithms to the
clinical care of individual patients
5
4
3
2
1
b. Apply principles of algorithm-based clinical care to
telemonitoring
5
4
3
2
1
c. Select patients for whom telemonitoring offers potential
advantages in the management of diabetes
5
4
3
2
1
d. Assess the added value of using available technology to
provide real-time management of patients with diabetes
5
4
3
2
1
2. The objectives were related to the purpose of the
activity.
5
4
3
2
1
3. The content of this learning activity was clearly presented.
5
4
3
2
1
4. The activity was free of commercial bias.
5
4
3
2
1
5. The faculty were effective in presenting the content.
5
4
3
2
1
6. My level of knowledge about applying algorithm-based clinical
care principles to telemonitoring
for patients with diabetes prior
to this activity was adequate.
5
4
3
2
1
7. My level of knowledge about applying algorithm-based clinical
care principles to telemonitoring
for patients with diabetes was
enhanced by the activity.
5
4
3
2
1
8. Information given in this activity will help me improve
patient outcomes.
5
4
3
2
1
9. My overall confidence in my ability to use remote monitoring to
manage patients
with diabetes prior to this activity was adequate.
5
4
3
2
1
10. My overall confidence in my ability to use remote monitoring to
manage patients
with diabetes was enhanced by the activity.
5
4
3
2
1
If you answered 3, 2, or 1 to any items above (or “No” for
Question 4), please explain:
11. I plan to make changes to
my clinical practice as a result of this activity.
Yes. Please give 1 example:
No. Please explain:
12. Please rank each of the formats below in order of preference
from 1 (highest) to 8 (lowest).
Association Meetings
Grand
Rounds
Home
Study (CD-ROM)
Home
Study (printed)
Internet Based
Roundtables
Symposia
Teleconferences
13. Please indicate topics for future activities:
I certify that I have completed this activity and the actual time I
spent was:
45 min
60 min
85 min
90 min
Other (fill in number of minutes):
Activity Title: Remote Monitoring in Diabetes Management: New
Technologies for Patient-Centered Care
Program Number: SPCE49008
Designated Nursing
Contact Hours (with 70% or more
correct): 1.25
(1.5 in Iowa and California)
Designated AAPA Category I CME credits
(with 70% or more correct): 1.25
Designated AMA PRA Category 1 Credits™ (with 70% or more
correct): 1.0
Select the 1 best answer to each question below. When you’ve
completed all 10 questions, submit your answers for grading by
pressing the Submit button at the bottom.
Self-Assessment Questions
1. According to 2007 prevalence data, diabetes affects:
a. 5.7% of the US population.
b. 7.8% of the US population.
c. 10% of the US population.
d. 23.6% of the US population.
2. A comparison of National Health and Nutrition Examination Survey data for the
periods 1988-1994 and 1999-2000
shows that the percentage of US adults with
diagnosed diabetes who achieved glycemic control (A1C <7.0%):
a. Increased from 5% to 7%.
b. Increased from 37% to 44%.
c. Decreased from 7% to 5%.
d. Decreased from 44% to 37%.
3. Algorithms in diabetes management are:
a. Based on clinical evidence and expert opinion and can be individualized to each patient.
b. Not effective at reducing costs for labor but may impact pharmacy costs.
c. Not intended to represent best practice in all regions of the United States.
d. Representative of a standard of care but cannot be translated into daily
clinical practice.
4. Remote diabetes data monitoring and management can:
a. Capture real-time blood glucose values and generate trend and pattern analyses.
b. Capture real-time blood glucose values but cannot capture variations in meals, exercise,
medication, weight, or symptoms.
c. Capture real-time blood glucose values but cannot store them in a format accessible to patients and clinicians.
d. Upload raw data to a secure database, but cannot generate trend and pattern analyses.
5. Remote diabetes data monitoring and management allow clinicians to practice
“by exception” and:
a. Spend equal amounts of time with patients needing assistance and with patients exhibiting good control
of their diabetes through self-management.
b. Spend less time with patients needing assistance and more time with patients exhibiting good control of
their diabetes through self-management.
c. Spend less time with patients needing assistance and with patients exhibiting good control of their diabetes
through self-management.
d. Spend more time with patients needing assistance and less time with patients exhibiting good control of their
diabetes through self-management.
6. Home telecare is:
a. Considered a separate discipline or technology rather than a different application of
tele-technologies.
b. Intended as a tool to help empower patients in the management of their disease.
c. Not considered a feasible approach to managing chronic disease.
d. Not intended as a tool for supporting patients in the management of their
disease.
7. An evidence-based review of home telemonitoring for chronic disease (Paré et
al)
found that telemonitoring:
a. Has the potential for empowering patients but does not capture data accurately.
b. Influences patients' attitudes and behaviors but has no potential for improving their medical condition.
c. Neither influences patients' attitudes nor empowers them in
disease self-management.
d. Produces accurate and reliable data and influences patients'
attitudes and behaviors.
8. In a comparison of telemedicine case management with usual care in elderly
patients
with diabetes (Shea et al), telemedicine case management:
a. Had no impact on the A1C value at 1 year in patients with a baseline A1C ≥7%.
b. Improved the A1C at 1 year by 0.25% in patients with a baseline A1C ≥7%.
c. Improved the A1C at 1 year by 0.38% in patients with a baseline A1C ≥7%.
d. Improved the A1C at 1 year by 0.93% in patients with a baseline A1C ≥7%.
9. A study of a mobile phone-based system for managing type 1 DM in patients
receiving
intensive insulin therapy (Kollmann et al) found the system was:
a. Moderately acceptable to the patients, but difficult to use daily for disease monitoring.
b. Unacceptable to the patients and therefore impractical for daily usage.
c. Well accepted by the patients and practical for daily usage.
d. Well accepted by the patients but impractical for daily usage.
10. A computer model of the economic impact of remote monitoring on managing
type
2 DM (Bu et al) projected a cost savings (2004 US$) of:
a. $16.9 billion over 10 years.
b. $16.9 billion over 5 years.
c. $326 billion over 5 years.
d. $326 million over 10 years.
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