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Diabetes in Pregnancy. 7% of pregnancies complicated by diabetesFetal and maternal complications of diabetes in pregnancyfetal deathlarge for gestational agebirth trauma hypoglycemia hypertensive disorders Early identification and careful management helps reduce risks to the mother and her
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1. An Internet-Based Program for Managing Diabetes in Pregnancy
Pamela Angelus, RN, MSN
Farzaneh Sabi, MD
Rita Driggers, MD
Cherrel Christian, RN, CDE
Seong K. Mun, Ph.D.
Betty Levine, MS
2. Diabetes in Pregnancy 7% of pregnancies complicated by diabetes
Fetal and maternal complications of diabetes in pregnancy
fetal death
large for gestational age
birth trauma
hypoglycemia
hypertensive disorders
Early identification and careful management helps reduce risks to the mother and her infant Approximately……………………………
A number of …………………………….
However, with Identification and frequent ……….and is the case at NNMCApproximately……………………………
A number of …………………………….
However, with Identification and frequent ……….and is the case at NNMC
3. Project Objectives Introduce the MyCareTeam™ system
into existing prenatal services at
the National Naval Medical Center
Determine if the MyCareTeam™ system
improves diabetes management in this group
of pregnant women
4. Eligibility Criteria Pregnant patients with Type 1, 2 or Gestational Diabetes
< 32 weeks gestation at time of enrollment
> 18 years of age
Access to standard telephone line or PC
Read and write English
Absence of medical or psychological co-morbidity that would interfere with ability to use MCT™ This slide lists:This slide lists:
5. Implementation Plan
MCT™ training at enrollment with “Tech Support”
BG data uploaded 1-2 times per week via Acculink Modem connected to standard telephone line or direct-connection to PC
Unlimited access to “Diabetes in Pregnancy” on-line learning materials
Website monitored by Study Nurse/CDE with support from NNMC residents, clinic nurse and dietician
6. Implementation Plan - continued Subjects surveyed twice during the study
4 weeks after enrollment
35 - 38 weeks gestation, or
within 7-10 days after delivery
Study completed at time of delivery or after second survey completed
February 2005 – February 2007
42 subjects enrolled
45 infants delivered (3 sets of twins)
7. Objective 1 Results Introduce the MyCareTeam™ system into existing prenatal services at the National Naval Medical Center
Was the “Technology” available and did it perform as planned?
NNMC
restricted access to computers and the Internet
Equipment
modem and glucose meter errors
ISIS Center
server and network issues
programming errors
< 1% downtime
Caused the website to be unavailable < 1% during the two years
Interesting observation. Arranged direct connect
Caused the website to be unavailable < 1% during the two years
Interesting observation. Arranged direct connect
8. Objective 1 Results - continued Participants
96% used a home computer to access MCT™
many lacked standard telephone line
Did participants like communicating with their Providers using MCT™?
Those reporting a positive experience with using MCT™, also reported that they liked using it to communicate with their providers (p<.02)
Did participants learn about diabetes from MCT™?
Liked learning about diabetes (p<.001)
During the survey, women complained that providers didn’t respond quickly enough
During the survey, women complained that providers didn’t respond quickly enough
9. Objective 2 Results Determine if the MyCareTeam™ system improves diabetes management in this group of pregnant women
Evaluation based on maternal and fetal variables and blood glucose data
Compared frequency of:
Glucose data – UPLOADS
System – LOGINS
Light Users (< 1 time/week)
Heavy Users (> 1 time/week)
10. Maternal Variables No significant differences between the Light and Heavy Users based on Frequency of UPLOADS and LOGINS for the these variables.
Maternal age
Diabetes type
Pre-eclampsia (hypertensive disorders of pregnancy)
Cesarean section rate
Duration of participation
11. Fetal Variables By Frequency of UPLOADS This is a comparison of: This is a comparison of:
12. Fetal Variables By Frequency of LOGINS This is a comparison ofThis is a comparison of
13. Mean Fasting and 2-Hour Post-Prandial BG Levels By Frequency of UPLOADS
14. Mean Fasting and 2-Hour Post-Prandial BG Levels By Frequency of LOGINS Fasting < 95Fasting < 95
15. Discussion Small group of participants
Patients are already closely monitored with frequent blood testing and clinic visits
High-functioning groups will probably find the resources necessary for a positive outcome with or without a Web-based management program
Lower mean GA could account for lack of LGA infants
While we didn’t get the results we expected…….While we didn’t get the results we expected…….
16. Comments and Reactions Especially helpful with the demanding prenatal schedule of diabetes visits – “I liked this system because it saved me from having to go to an appointment every week.”
Allowed provider to continue care during patient’s relocation to new “duty station”.
Past participants are referring women to the study.
Helpful for patients who falsify their BG data
Dyslexic patients
17. Acknowledgements Thank you
United States Army Medical Research and Materiel Command for their support under contract #W81XWH-04-2-0002
Roche Diagnostics
Partners at NNMC – Dianne Bloom, RN, MSN and Susan Stone, RN, MSN
Alan Neustadtl, PhD and Jim Grigsby, PhD for their statistical support