Video Conferencing and In-person Health Coaching on Weight Loss, Physical Activity, and Metabolic Control
A Comparison of Video Conferencing and In-person Health Coaching Approaches in Combination With mHealth Devices on Weight Loss, Physical Activity, and Glycemic Control
2 other identifiers
interventional
30
0 countries
N/A
Brief Summary
The purpose of this study was to determine how 12 weeks of health coaching with individualized feedback and education in combination with mobile health devices (a digital wireless body weight scale and wireless activity tracker) influences body weight, waist circumference, physical activity levels, and select blood-borne markers of health (fasting blood glucose, hemoglobin A1c, and insulin). The individualized health coaching, education, and feedback was delivered by either video conferencing or direct, in-person consultation. All education materials including (i.e. video modules, exercise manuals, nutrition manuals) were designed and compiled by a team of health professionals from (inHealth Medical Services, Inc.). These materials focused on incorporating behavioral principles of self-monitoring, exercise, nutrition, goal setting, and behavior modification. Each participant was randomly assigned into one of two intervention groups (a video conferencing or in-person group) or a control group.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable obesity
Started Jan 2016
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 30, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 20, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
May 30, 2017
CompletedFirst Submitted
Initial submission to the registry
September 7, 2017
CompletedFirst Posted
Study publicly available on registry
September 12, 2017
CompletedSeptember 14, 2017
September 1, 2017
1.3 years
September 7, 2017
September 13, 2017
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Weight loss in (kg)
Investigators examined body weight changes between groups baseline (week 0) and post intervention (week12).
Change in weight between baseline (week 0) and post intervention (week 12)
Secondary Outcomes (5)
Comparison of daily step average per day by group (n=10 for each group).
Average steps per day/week over a 12 week period.
Hba1c pre and post intervention
Pre and Post (a 12 week study)
Insulin pre and post intervention
Pre and Post (a 12 week study)
Blood glucose pre and post intervention
Pre and Post (a 12 week study)
Homeostasis Model Assessment Insulin resistance (HOMA-IR)
Pre and Post (a 12 week study)
Study Arms (3)
Control Group
NO INTERVENTIONThe control group received the mHealth devices but no health coaching or feedback. Participants in this group completed the same pre- and post-intervention measurements.
Video Conferencing Health Coaching
EXPERIMENTALThe video conferencing group participants met via the eClinicalWorks® app using their smartphone, and met 12 times with the registered dietitian (RD) and 12 times with the exercise physiologist to discuss exercise and diet goals.
In Person Health Coaching
EXPERIMENTALThe in person group participants met 12 times with the registered dietitian (RD) and 12 times with the exercise physiologist over the course of the study to discuss both diet and exercise regimens.
Interventions
Eligibility Criteria
You may qualify if:
- Fluent in English spoken and written at a high-school level, Non-diabetic Obese according to body mass index (BMI) standards (\> 30 kg/m2), Weigh less than 396 pounds, Live a sedentary lifestyle defined as \< 7,000 steps per day Had access to an Apple® iPhone or Android® smart phone
You may not qualify if:
- Participants were excluded if they have stated having an Immunodeficiency disorder Kidney disease; Type II diabetes; History of uncontrolled high blood pressure (defined as a systolic blood pressure ≥ 140mmHg and/or diastolic blood pressure ≥90 mmHg confirmed by measurements on two separate occasions); Asthma, COPD, Heart attack or stroke within the past 12 months; Presence of a partial or full artificial limb; Known dementia, brain cancer, eating disorders, history of significant neurological or psychiatric disorder or any other psychological condition; Medications, dietary supplements, or substances advertised to modify metabolism or body weight; Undergone major surgery less than 4 weeks prior to enrollment in the study; or were actively losing weight.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of New Mexicolead
- National Institute of General Medical Sciences (NIGMS)collaborator
- inHealth Medical Services, Inc.collaborator
Related Publications (13)
Hubble JP, Pahwa R, Michalek DK, Thomas C, Koller WC. Interactive video conferencing: a means of providing interim care to Parkinson's disease patients. Mov Disord. 1993 Jul;8(3):380-2. doi: 10.1002/mds.870080326.
PMID: 8341308BACKGROUNDRollo ME, Hutchesson MJ, Burrows TL, Krukowski RA, Harvey JR, Hoggle LB, Collins CE. Video Consultations and Virtual Nutrition Care for Weight Management. J Acad Nutr Diet. 2015 Aug;115(8):1213-25. doi: 10.1016/j.jand.2015.03.016. Epub 2015 May 16. No abstract available.
PMID: 25986214BACKGROUNDDavis RM, Hitch AD, Salaam MM, Herman WH, Zimmer-Galler IE, Mayer-Davis EJ. TeleHealth improves diabetes self-management in an underserved community: diabetes TeleCare. Diabetes Care. 2010 Aug;33(8):1712-7. doi: 10.2337/dc09-1919. Epub 2010 May 18.
PMID: 20484125BACKGROUNDOlsen JM, Nesbitt BJ. Health coaching to improve healthy lifestyle behaviors: an integrative review. Am J Health Promot. 2010 Sep-Oct;25(1):e1-e12. doi: 10.4278/ajhp.090313-LIT-101.
PMID: 20809820BACKGROUNDHuber JM, Shapiro JS, Wieland ML, Croghan IT, Vickers Douglas KS, Schroeder DR, Hathaway JC, Ebbert JO. Telecoaching plus a portion control plate for weight care management: a randomized trial. Trials. 2015 Jul 30;16:323. doi: 10.1186/s13063-015-0880-1.
PMID: 26223309BACKGROUNDFerrante JM, Piasecki AK, Ohman-Strickland PA, Crabtree BF. Family physicians' practices and attitudes regarding care of extremely obese patients. Obesity (Silver Spring). 2009 Sep;17(9):1710-6. doi: 10.1038/oby.2009.62. Epub 2009 Mar 12.
PMID: 19282824BACKGROUNDBennett JA, Perrin NA, Hanson G, Bennett D, Gaynor W, Flaherty-Robb M, Joseph C, Butterworth S, Potempa K. Healthy aging demonstration project: nurse coaching for behavior change in older adults. Res Nurs Health. 2005 Jun;28(3):187-97. doi: 10.1002/nur.20077.
PMID: 15884026BACKGROUNDShaw RJ, Steinberg DM, Bonnet J, Modarai F, George A, Cunningham T, Mason M, Shahsahebi M, Grambow SC, Bennett GG, Bosworth HB. Mobile health devices: will patients actually use them? J Am Med Inform Assoc. 2016 May;23(3):462-6. doi: 10.1093/jamia/ocv186. Epub 2016 Jan 17.
PMID: 26911820BACKGROUNDJeon E, Park HA. Development of a smartphone application for clinical-guideline-based obesity management. Healthc Inform Res. 2015 Jan;21(1):10-20. doi: 10.4258/hir.2015.21.1.10. Epub 2015 Jan 31.
PMID: 25705553BACKGROUNDAmerican Heart Association; American College of Cardiology; Obesity Society. Reprint: 2013 AHA/ACC/TOS Guideline for the Management of Overweight and Obesity in Adults. J Am Pharm Assoc (2003). 2014 Jan-Feb;54(1):e3. doi: 10.1331/japha.2014.14502. No abstract available.
PMID: 24898716BACKGROUNDKivela K, Elo S, Kyngas H, Kaariainen M. The effects of health coaching on adult patients with chronic diseases: a systematic review. Patient Educ Couns. 2014 Nov;97(2):147-57. doi: 10.1016/j.pec.2014.07.026. Epub 2014 Aug 1.
PMID: 25127667BACKGROUNDHersey JC, Khavjou O, Strange LB, Atkinson RL, Blair SN, Campbell S, Hobbs CL, Kelly B, Fitzgerald TM, Kish-Doto J, Koch MA, Munoz B, Peele E, Stockdale J, Augustine C, Mitchell G, Arday D, Kugler J, Dorn P, Ellzy J, Julian R, Grissom J, Britt M. The efficacy and cost-effectiveness of a community weight management intervention: a randomized controlled trial of the health weight management demonstration. Prev Med. 2012 Jan;54(1):42-9. doi: 10.1016/j.ypmed.2011.09.018. Epub 2011 Oct 6.
PMID: 22001689BACKGROUNDJohnson KE, Alencar MK, Coakley KE, Swift DL, Cole NH, Mermier CM, Kravitz L, Amorim FT, Gibson AL. Telemedicine-Based Health Coaching Is Effective for Inducing Weight Loss and Improving Metabolic Markers. Telemed J E Health. 2019 Feb;25(2):85-92. doi: 10.1089/tmj.2018.0002. Epub 2018 May 30.
PMID: 29847222DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Ann Gibson, PhD
University of New Mexico
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Masking Details
- Following baseline visits, participants were randomized to a viideo conference (VC(, in person (IP) or control (CG) groups via the website https://www.randomlists.com/team-generator.
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 7, 2017
First Posted
September 12, 2017
Study Start
January 30, 2016
Primary Completion
May 20, 2017
Study Completion
May 30, 2017
Last Updated
September 14, 2017
Record last verified: 2017-09