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N/A N=840 Randomized Health Services Research

Integrating Online Weight Management With Primary Care Support

Obesity

Enrolled (actual)
840
Serious AEs
4.9%
Results posted
Aug 2019
Primary outcome: Primary: Change in Body Weight at 12 Months — -1.2; -1.9; -3.1 kilograms — p=0.00017

Study Design & Population

Study type
Interventional
Phase
N/A
Interventions
Online weight management program (Behavioral); Population health management support (Behavioral)
Age
Adult, Older Adult · 20+ yrs
Sex
All
Sponsor
Brigham and Women's Hospital
Primary completion
Nov 2018

Outcome Measures

OutcomeResultp-value
PRIMARY
Change in Body Weight at 12 Months
-1.2; -1.9; -3.1 0.00017 sig
SECONDARY
Change in Body Weight at 6 Months
-1.0; -2.1; -2.9
SECONDARY
Change in Body Weight at 18 Months
-1.9; -1.1; -2.8 < 0.001 sig
SECONDARY
Percent Weight Change at 6 Months
-1.0; -2.0; -2.8
SECONDARY
Percent Weight Change at 12-Months
-1.4; -1.9; -3.0 < 0.001 sig
SECONDARY
Percent Weight Change at 18-Months
-1.9; -0.9; -2.6 0.01 sig
SECONDARY
Percent of Patients With at Least 5% Weight Loss at 6 Months
13.4; 22.1; 29.5
SECONDARY
Percent of Patients With at Least 5% Weight Loss at 12-months
14.9; 20.8; 32.3 <0.001 sig
SECONDARY
Percent of Patients With at Least 5% Weight Loss at 18 Months
20.9; 19.9; 31.3 0.20
SECONDARY
Changes in Self-efficacy Around Weight Loss at 12 Months
-0.7; -0.4; 0.5 0.0001 sig
SECONDARY
Changes in Systolic Blood Pressure
-0.9; -3.0; -0.2 0.19
SECONDARY
Changes in Diastolic Blood Pressure
-1.0; -2.2; -1.1 0.35
SECONDARY
Changes in Total Cholesterol
-7.5; -6.3; -6.8 0.20
SECONDARY
Changes in HDL Cholesterol
-0.4; 0.6; 0.7 0.33
SECONDARY
Changes in LDL Cholesterol
-5.4; -3.7; -5.8 0.43
SECONDARY
Changes in Triglycerides
-12.4; -8.0; -10.2 0.40
SECONDARY
Changes in HbA1c Levels
-0.02; 0.02; -0.02 0.16
SECONDARY
Changes in Weight-related Quality of Life Assessed by the Impact of Weight on Quality of Life (IWQOL)-Lite Questionnaire
5.4; 4.8; 5.8 0.61
SECONDARY
Changes in Percentage of Patients Reporting Excellent/Very Good Health Status Assessed by Using a 5-point Scale Questionnaire From the 36-Item Short Form Health Survey(SF-36)
14.5; 16.1; 21.4 0.61
SECONDARY
Changes in Self-reported Physical Activity
5.7; 2.6; 3.5 0.46
SECONDARY
Changes in Diet, Specifically Fruits/Vegetables, as Measured by the PrimeScreen Questionnaire
0.4; 0.3; 0.4 0.68
SECONDARY
Changes in Diet, Specifically Whole Grains, as Measured by the PrimeScreen Questionnaire
0.02; 0.03; 0.1 0.54
SECONDARY
Changes in Diet, Specifically Sugar-sweetened Beverages, as Measured by the PrimeScreen Questionnaire
0.01; -0.1; -0.1 0.09
SECONDARY
Changes in Diet, Specifically Baked Products, as Measured by the PrimeScreen Questionnaire
-0.1; -0.1; -0.1 0.42
SECONDARY
Changes in Diet, Specifically Processed Meats, as Measured by the PrimeScreen Questionnaire
-0.02; -0.1; -0.1 0.23
SECONDARY
Changes in Diet, Specifically Fried Foods, as Measured by the PrimeScreen Questionnaire
-0.03; -0.02; -0.1 0.20

Summary

The goal of this project is to adapt an evidence-based online weight management program and integrate it with population management support from primary care practices. Investigators then will conduct a three-arm, cluster-randomized trial to compare the effectiveness of 1) the combined intervention (online weight management program plus population management support) with 2) the stand-alone online weight management program and with 3) usual care, among overweight and obese primary care patients with type 2 diabetes or hypertension. The specific aims are: 1. a. To adapt an online weight management program and integrate it with population management support, incorporating input from patients, primary care clinicians, and other stakeholders; afterward, investigators will acquire feedback on the positive and negative aspects of the intervention. b. To compare the effectiveness of the combined intervention (online weight management program plus population management support) with the stand-alone online program and with usual care. Hypothesis 1: The combined intervention will lead to greater weight loss at 12 months compared with the stand-alone online program and with usual care. 2. To identify mediators of the combined intervention and the stand-alone online program. Hypothesis 2: The effects of the combined intervention and the stand-alone online program on weight loss will be mediated by patients' level of engagement, changes in self-efficacy, and changes in diet and physical activity. 3. To explore whether the effectiveness of the combined intervention and the stand-alone weight management program varies by patient characteristics. Hypothesis 3: The interventions will be more effective among patients who are younger, white, and higher socioeconomic status, although the population management strategy may help to reduce these differences.

Eligibility Criteria

Inclusion Criteria

  • upcoming or recent visit at primary care practice affiliated with Brigham and Women's Hospital
  • age 20-70
  • diagnosis of type 2 diabetes and/or hypertension
  • BMI >= 27 and 5% weight loss in the last 6 months 7. Severe psychiatric illness or impaired mental status 8. Active or diagnosed history of and/or self-reported history of eating disorders 9. Self-reported average consumption of > 14 alcoholic drinks/week 10. Any serious medical condition that would affect weight loss or for which weight loss is contraindicated, including active cancer (excluding non-melanoma skin cancer) or currently being treated for cancer, end stage renal disease (ESRD) on dialysis, etc.
  • On comfort care measures, hospice, or in nursing home 12. Participating in a contra-indicative research study 13. Use of prescription or over-the-counter weight loss medications or an all-liquid diet program in the last 6 months or currently 14. Any other medical contraindication for weight loss or physical activity, or any other reason that the PCP or their delegate (e.g., LPN or RN) did not deem the patient appropriate for the study
View full record on ClinicalTrials.gov →

Data sourced from ClinicalTrials.gov (NCT02656693). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication.

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