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Effectiveness of a Well-being Web-based Intervention

This study has been completed.
ClinicalTrials.gov Identifier:
First Posted: April 27, 2012
Last Update Posted: September 23, 2015
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
Healthways, Inc.
Information provided by (Responsible Party):
MeYou Health, LLC
The purpose of this study is to determine whether the intervention Daily Challenge (MeYou Health, LLC), a behavioral intervention delivered online, is effective in improving individuals' well-being.

Condition Intervention
Focus of Study: Healthy Individuals Behavioral: Daily Challenge

Study Type: Interventional
Study Design: Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: Single (Investigator)
Primary Purpose: Treatment
Official Title: A Randomized Controlled Trial of the Effectiveness of the Web-based Well-being Intervention Daily Challenge

Further study details as provided by MeYou Health, LLC:

Primary Outcome Measures:
  • Well-being score, as determined by the Healthways Well-Being Assessment [ Time Frame: Baseline, 30 days, 90 days ]
    Change in well-being score

Secondary Outcome Measures:
  • Interpersonal support score, as evaluated with the Interpersonal Support Evaluation List (ISEL) [ Time Frame: Baseline, 30 days, 90 days ]
    Change in interpersonal support score.

Enrollment: 1503
Study Start Date: April 2012
Study Completion Date: September 2012
Primary Completion Date: September 2012 (Final data collection date for primary outcome measure)
Arms Assigned Interventions
Experimental: Treatment
Intervention: Daily Challenge
Behavioral: Daily Challenge
Web-based behavioral intervention aiming to improve individuals' well-being.
No Intervention: Control
Weekly Well-being, an email-based health information delivery service.


Information from the National Library of Medicine

Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.

Ages Eligible for Study:   18 Years and older   (Adult, Senior)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes

Inclusion Criteria:

  • Adults (18 years of age or older, 19 years of age or older if participant resides in Alabama or Nebraska)
  • Provided informed consent to participate in the study

Exclusion Criteria:

  • Does not live in the United States of America
  • Has a Facebook friend enrolled in the study
  • Fails to complete the informed consent and registration process in the allotted time (45 minutes)
  • Gender (recruitment will be titrated to ensure a minimum of 30% male ratio)
  Contacts and Locations
Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01586949

United States, Massachusetts
MeYou Health office
Boston, Massachusetts, United States, 02116
Sponsors and Collaborators
MeYou Health, LLC
Healthways, Inc.
Principal Investigator: Josee Poirier, PhD MeYou Health, LLC
Study Chair: Nathan K Cobb, MD MeYou Health, LLC
  More Information

Additional Information:
Pew Research Center. Social networking sites and our lives (Report). 2011. http:/pewinternet.org/Reports/2011/Technology-and-social-networks.aspx
Stata analysis software. Stata Corporation, College Station, TX.
Tabachnick, B.G. and Fidell, L.S. Using multivariate statistics, 4th Edition, Allyn & Bacon, Needham, MA. 2001.
Fleiss, J.L. Design and Analysis of Clinical Experiments.1999. Wiley, New York, NY.
Beasley, T.M. Seemingly unrelated regression (SUR) models as a solution to path analytic models with correlated errors. Multiple Linear Regression Viewpoints. 34(1): 1-7, 2008.
Zellner, A. An efficient method of estimating seemingly unrelated regressions and tests for aggregation bias. J Am Stat Assoc, 57(348-68), 1962.
Gleason, T.C. and Staelin, R. A proposal for handling missing data. Psychometrika, 40(2): 229-252, 1975.
Little, R.J. and Rubin, D.B. Statistical analysis with missing data, 2nd Edition, Wiley, New York, NY. 2002.
Schafer, J. L. Analysis of Incomplete Multivariate Data. New York, NY: Chapman & Hall, CRC. 2002.

Publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):
Responsible Party: MeYou Health, LLC
ClinicalTrials.gov Identifier: NCT01586949     History of Changes
Other Study ID Numbers: DC-EFF-2012
First Submitted: April 25, 2012
First Posted: April 27, 2012
Last Update Posted: September 23, 2015
Last Verified: September 2015

Keywords provided by MeYou Health, LLC:
web-based intervention
social networks