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Virtual Lifestyle Management: Prevention Through the UPMC Patient Portal

Virtual Lifestyle Management: Prevention Through the UPMC Patient Portal

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT00409786
Enrollment
50
Registered
2006-12-11
Start date
2006-11-30
Completion date
2008-03-31
Last updated
2011-04-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Obesity

Keywords

Obesity, Diabetes, Internet, Obesity with high cardiovascular risk

Brief summary

Diabetes affects 18 million Americans and costs over $132 billion in both direct treatment and lost productivity per year. It is known that weight loss, improved diet and increased exercise can result in improvement in glucose, lipid, and blood pressure control in patients with diabetes and reduce the incidence of diabetes in individuals at high risk. Effective delivery of proven, comprehensive lifestyle programs is difficult because of associated high costs. The internet provides a venue to deliver these lifestyle programs to large numbers of individuals while decreasing the cost per person. HealthTrak, the University of Pittsburgh Medical Center (UPMC) patient portal, provides an ideal setting to test such a program. HealthTrak provides participants with access to individual medical information while facilitating electronic communication with their physicians. Portal enhancements will allow the delivery of a comprehensive lifestyle intervention aimed at weight loss, improved diet, and increased exercise, and provide the opportunity to communicate with experts regarding concerns. Through this project, we will evaluate the modification of a successful comprehensive lifestyle intervention for delivery through HealthTrak. We will enroll and follow 50 individuals with diabetes or at high risk for diabetes for 12 months and examine change in parameters including diet, weight, physical activity, hemoglobin A1C, glucose, blood pressure, and lipid profile.

Detailed description

Diabetes affects 18 million Americans and costs over $132 billion in both direct treatment and lost productivity per year. It is known that weight loss, improved diet and increased exercise can result in improvement in glucose, lipid, and blood pressure control in patients with diabetes and reduce the incidence of diabetes in individuals at high risk. Effective delivery of proven, comprehensive lifestyle programs is difficult because of associated high costs. The internet provides a venue to deliver these lifestyle programs to large numbers of individuals while decreasing the cost per person. HealthTrak, the University of Pittsburgh Medical Center (UPMC) patient portal, provides an ideal setting to test such a program. HealthTrak provides participants with access to individual medical information while facilitating electronic communication with their physicians. Portal enhancements will allow the delivery of a comprehensive lifestyle intervention aimed at weight loss, improved diet, and increased exercise, and provide the opportunity to communicate with experts regarding concerns. Through this project, we will evaluate the modification of a successful comprehensive lifestyle intervention for delivery through HealthTrak. We will enroll and follow 50 individuals with diabetes or at high risk for diabetes for 12 months and examine change in parameters including diet, weight, physical activity, hemoglobin A1C, glucose, blood pressure, and lipid profile

Interventions

BEHAVIORALVirtual Lifestyle Management (VLM)

16 weekly lessons followed by monthly maintenance lessons

Sponsors

U.S. Air Force Office of the Surgeon General
CollaboratorFED
University of Pittsburgh
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
SINGLE_GROUP
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* Overweight (BMI≥25) and one of the following: Hypertension, Diabetes, glucose intolerance, dyslipidemia * Age 18-80 * Agrees to participate in the Virtual Lifestyle Management (VLM) program and evaluation * Computer access to UPMC Health Trak * Regular access to a scale

Exclusion criteria

* Pregnancy * Inability to participate in moderate exercise as determined by the primary care physician

Design outcomes

Primary

MeasureTime frame
Change in WeightBaseline and 1 year

Secondary

MeasureTime frame
Lipid1 year
A1C (if Applicable)1 year
Blood Pressure1 year
Health Related Quality of Life1 year
Physical Activity1 year
Fat Consumption1 year

Countries

United States

Participant flow

Participants by arm

ArmCount
VLM Online Lifestyle Counseling
Overweight primary care patient participants receiving the Virtual Lifestyle Management (VLM) Program online lifestyle counseling intervention.
50
Total50

Withdrawals & dropouts

PeriodReasonFG000
Overall StudyWithdrawal by Subject3

Baseline characteristics

CharacteristicVLM Online Lifestyle Counseling
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
4 Participants
Age, Categorical
Between 18 and 65 years
46 Participants
Age Continuous51.94 years
STANDARD_DEVIATION 10.82
Region of Enrollment
United States
50 participants
Sex: Female, Male
Female
38 Participants
Sex: Female, Male
Male
12 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
— / —
other
Total, other adverse events
0 / 50
serious
Total, serious adverse events
0 / 50

Outcome results

Primary

Change in Weight

Time frame: Baseline and 1 year

Population: Of the original 50 participants, 12 month data was collected for 45 (90%) of them. Analysis was conducted on those participants with 12 month data.

ArmMeasureValue (MEAN)
Group 1Change in Weight-4.79 kg
Secondary

A1C (if Applicable)

Time frame: 1 year

Secondary

Blood Pressure

Time frame: 1 year

Secondary

Fat Consumption

Time frame: 1 year

Secondary

Health Related Quality of Life

Time frame: 1 year

Secondary

Lipid

Time frame: 1 year

Secondary

Physical Activity

Time frame: 1 year

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026