ObesityNCT03278951
Video Conferencing and In-person Health Coaching on Weight Loss, Physical Activity, and Metabolic Control
A study testing Video Conferencing Group and In Person Group in people with Obesity and Weight Loss, run by University of New Mexico.
Trial 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… Read more about this study
- Who is it for?
- Ages 18 to 65 yearsHealthy volunteers can take part
- Conditions the study is for
- Obesity, Weight Loss, Telemedicine
- What is being tested?
- Video Conferencing Group and In Person Group
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 30 participants
- Where
- No sites listed yet
- Study dates
- 30 Jan 2016to 30 May 2017
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 65 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- 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
Who cannot join
- 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.
About this study
Official title: A Comparison of Video Conferencing and In-person Health Coaching Approaches in Combination With mHealth Devices on Weight Loss, Physical Activity, and Glycemic Control
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.
Read the detailed description
Telemedicine can be defined as using communication technologies, specifically video conferencing, to support long-distance delivery of clinical health care and patient and professional health-related education. Video conferencing (VC) has been used since the early 1990's as a tool to monitor symptoms (Hubble et al. 1992), and it has also been used in various subspecialties such as heart disease (Winters \& Winters, 2007), diabetes prevention/management (Davis et al. 2010), mental health care (O'Reilly et al. 2007), and for providing nutritional advice (Rollo et al. 2015). Evidence regarding the effectiveness of video conferencing is amassing with systematic reviews revealing promising results in the management of various chronic diseases (Pronk et al. 2011). However, to date there are no published studies investigating a fully online, medically monitored, weight loss program utilizing VC.
The application of VC has the potential to shift current clinical practice for medical weight management/weight loss from traditional in-person medical office visits to remote delivery using VC. eClinicalWorks® (ECW)l) is a telemedicine service company providing cost effective medical care solutions to patients through the use of technology.ECW® provides patients with an easy-to-use application that enables face-to-face contact with a healthcare provider through the use of VC on their smart device from any location. The ECW® application which will be utilized in the present study will be fully customized to utilize Bluetooth connectivity to sync with commercially available clinical assessment tools such as body weight scales and physical activity trackers to monitor obesity related health outcomes. Through the integration of tools into a customized smartphone application provided by ECW®, health care professionals in the present study will be able to evaluate a participant's body weight, body composition, and physical activity through one convenient smartphone application.
Within the obesity prevention and management strategies, the use of health coaching is one possible way to improve patient lifestyle behavior change. Health coaching can be defined as the "practice of providing health education within a coaching context to enhance the knowledge of individuals which helps facilitate the achievement in their health-related goals'' (Olson and Nesbitt et al. 2010). A fairly recent study (Ferrante et al. 2009) in which more than 500 physicians were surveyed on their practices and management strategies regarding extreme obesity (BMI ≥40kg/m2) indicated that having a readily available nutrition and exercise therapist would be helpful in improving the quality of care in these patients, thereby highlighting the benefits gained by using health coaches. The majority of health coaching intervention studies investigating behavior change have been personalized and conveyed to the individual participant through several mediums including telephone, (Huber et al. 2015), web-based chatting (Hersey et al. 2012, Bennett et al. 2010), or a combination of in-person and web-based delivery (Appel et al. 2011; Bennett et al. 2005). Additionally, there appears to be great variability between interventions in the type of health care professional utilized as health coaches including: nurses, health counselors, registered dietitians, primary care providers, or diabetes educators (Kivela et al. 2014). However, using a health coaching approach in which a multi-disciplinary team (medical doctor, registered dietitian, and exercise physiologist) is utilized, as in the present study, has yet to be examined. This is especially important as recent evidence has shown that increased collaboration between healthcare professionals may enhance patient adherence, education, and medical monitoring (Jeon \& Park, 2015).
In addition to the utilization of both health coaching and VC, health professionals are always seeking ways to objectively monitor and improve their patients' health and fitness, especially between patient visits. A potential way health professionals can monitor a patient's health metrics is through mobile health (mHealth) devices including smartphones and wearable fitness trackers, as well as wireless weight scales, blood pressure cuffs, and glucometers (Shaw et al. 2016). However, to leverage mHealth devices as tools to promote patient self-monitoring, the integrated use of mHealth devices which collect, display, and secure data through a unified system is needed. To date, only one study (Shaw et al. 2016) examined the feasibility of multiple mHealth devices which transmitted data to a secure US Food and Drug Administration (FDA) database. Therefore, The primary aim of this study was to assess changes in physical activity, body weight and metabolic markers (fasting blood glucose, insulin, insulin resistance, and hemoglobin A1c) in obese adults randomized into either a control group or one of two intervention groups (an in-person group or VC group).
- Conditions
- Obesity, Weight Loss, Telemedicine
- Being tested
- Video Conferencing Group, In Person Group
- Keywords
- Weight loss, video conferencing, mHealth, Telemedicine, glycemic control
- Medical subject headings
- Obesity, Weight Loss
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Video Conferencing GroupBehavioural
In Person GroupBehavioural
| Study group | Role | What they receive |
|---|---|---|
| Control Group | No intervention | The 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 | Experimental | The 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. Receives: Behavioral: Video Conferencing Group |
| In Person Health Coaching | Experimental | The 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. Receives: Behavioral: In Person Group |
What is being measured
The primary outcome is the main question the study is designed to answer.
Weight loss in (kg)
Investigators examined body weight changes between groups baseline (week 0) and post intervention (week12).
Measured: 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).
Investigators examined steps per day and averaged them every week. Each time point (weeks) were then graphed and presented as adjusted least mean square (LMS) and standard error (SE).
Measured: Average steps per day/week over a 12 week period.
Hba1c pre and post intervention
Investigators measured HbA1c via a blood test which was analyzed by Quest® laboratories.
Measured: Pre and Post (a 12 week study)
Insulin pre and post intervention
Investigators measured Insulin via a blood test which was analyzed by Quest® laboratories.
Measured: Pre and Post (a 12 week study)
Blood glucose pre and post intervention
Investigators measured blood glucose via a blood test which was analyzed by Quest® laboratories.
Measured: Pre and Post (a 12 week study)
Homeostasis Model Assessment Insulin resistance (HOMA-IR)
A Homeostasis Model Assessment was used to estimate insulin resistance (HOMA-IR)
Measured: Pre and Post (a 12 week study)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted12 Sep 2017
- Study start30 Jan 2016
- Primary completion20 May 2017
- Study completion30 May 2017
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (13)Papers the sponsor has linked to this study.
- Other trials for ObesityStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- All participants were randomized in a balanced fashion and stratified by sex into either one of the two intervention groups (VC or in-person group) or a control group.
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 30 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of New Mexico
- Sponsor type
- University, hospital or other
- Collaborators
- National Institute of General Medical Sciences (NIGMS), inHealth Medical Services, Inc.
- Responsible party
- Sponsor
- Investigators
- Ann Gibson, PhD, Study chair, University of New Mexico
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03278951
- Sponsor's protocol ID
- 965182-6
- Other IDs
- 8UL1GM118979-02
- Status last verified
- Sep 2017
- First submitted
- 7 Sep 2017
- Last updated
- 14 Sep 2017
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided: It is not yet known if there will be a plan to make IPD available.
Publications
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.
PubMed 8341308Rollo 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.
PubMed 25986214Davis 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.
PubMed 20484125Olsen 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.
PubMed 20809820Huber 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.
PubMed 26223309Ferrante 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.
PubMed 19282824Bennett 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.
PubMed 15884026Shaw 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.
PubMed 26911820Jeon 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.
PubMed 25705553American 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.
PubMed 24898716Kivela 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.
PubMed 25127667Hersey 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.
PubMed 22001689Johnson 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.
PubMed 29847222
Study at a glance
From the registry record, last updated by the sponsor on 14 Sep 2017. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- A Comparison of Video Conferencing and In-person Health Coaching Approaches in Combination With mHealth Devices on Weight Loss, Physical Activity, and Glycemic Control
- ClinicalTrials.gov ID
- NCT03278951
- Acronym / sponsor ID
- 965182-6
- Conditions
- Obesity, Weight Loss, Telemedicine
- Keywords
- Weight loss, video conferencing, mHealth, Telemedicine, glycemic control
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 30 participants (actual)
- Lead sponsor
- University of New MexicoUniversity, hospital or other
- Collaborators
- National Institute of General Medical Sciences (NIGMS), inHealth Medical Services, Inc.
- Study start
- 30 Jan 2016 (actual)
- Primary completion
- 20 May 2017 (actual)
- Study completion
- 30 May 2017 (actual)
- First posted
- 12 Sep 2017 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
Telemedicine can be defined as using communication technologies, specifically video conferencing, to support long-distance delivery of clinical health care and patient and professional health-related education. Video conferencing (VC) has been used since the early 1990's as a tool to monitor symptoms (Hubble et al. 1992), and it has also been used in various subspecialties such as heart disease (Winters \& Winters, 2007), diabetes prevention/management (Davis et al. 2010), mental health care (O'Reilly et al. 2007), and for providing nutritional advice (Rollo et al. 2015). Evidence regarding the effectiveness of video conferencing is amassing with systematic reviews revealing promising results in the management of various chronic diseases (Pronk et al. 2011). However, to date there are no published studies investigating a fully online, medically monitored, weight loss program utilizing VC.
The application of VC has the potential to shift current clinical practice for medical weight management/weight loss from traditional in-person medical office visits to remote delivery using VC. eClinicalWorks® (ECW)l) is a telemedicine service company providing cost effective medical care solutions to patients through the use of technology.ECW® provides patients with an easy-to-use application that enables face-to-face contact with a healthcare provider through the use of VC on their smart device from any location. The ECW® application which will be utilized in the present study will be fully customized to utilize Bluetooth connectivity to sync with commercially available clinical assessment tools such as body weight scales and physical activity trackers to monitor obesity related health outcomes. Through the integration of tools into a customized smartphone application provided by ECW®, health care professionals in the present study will be able to evaluate a participant's body weight, body composition, and physical activity through one convenient smartphone application.
Within the obesity prevention and management strategies, the use of health coaching is one possible way to improve patient lifestyle behavior change. Health coaching can be defined as the "practice of providing health education within a coaching context to enhance the knowledge of individuals which helps facilitate the achievement in their health-related goals'' (Olson and Nesbitt et al. 2010). A fairly recent study (Ferrante et al. 2009) in which more than 500 physicians were surveyed on their practices and management strategies regarding extreme obesity (BMI ≥40kg/m2) indicated that having a readily available nutrition and exercise therapist would be helpful in improving the quality of care in these patients, thereby highlighting the benefits gained by using health coaches. The majority of health coaching intervention studies investigating behavior change have been personalized and conveyed to the individual participant through several mediums including telephone, (Huber et al. 2015), web-based chatting (Hersey et al. 2012, Bennett et al. 2010), or a combination of in-person and web-based delivery (Appel et al. 2011; Bennett et al. 2005). Additionally, there appears to be great variability between interventions in the type of health care professional utilized as health coaches including: nurses, health counselors, registered dietitians, primary care providers, or diabetes educators (Kivela et al. 2014). However, using a health coaching approach in which a multi-disciplinary team (medical doctor, registered dietitian, and exercise physiologist) is utilized, as in the present study, has yet to be examined. This is especially important as recent evidence has shown that increased collaboration between healthcare professionals may enhance patient adherence, education, and medical monitoring (Jeon \& Park, 2015).
In addition to the utilization of both health coaching and VC, health professionals are always seeking ways to objectively monitor and improve their patients' health and fitness, especially between patient visits. A potential way health professionals can monitor a patient's health metrics is through mobile health (mHealth) devices including smartphones and wearable fitness trackers, as well as wireless weight scales, blood pressure cuffs, and glucometers (Shaw et al. 2016). However, to leverage mHealth devices as tools to promote patient self-monitoring, the integrated use of mHealth devices which collect, display, and secure data through a unified system is needed. To date, only one study (Shaw et al. 2016) examined the feasibility of multiple mHealth devices which transmitted data to a secure US Food and Drug Administration (FDA) database. Therefore, The primary aim of this study was to assess changes in physical activity, body weight and metabolic markers (fasting blood glucose, insulin, insulin resistance, and hemoglobin A1c) in obese adults randomized into either a control group or one of two intervention groups (an in-person group or VC group).
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (participant)
- Number of arms
- 3
- Model description
- All participants were randomized in a balanced fashion and stratified by sex into either one of the two intervention groups (VC or in-person group) or a control group.
| Arm | Type | Receives |
|---|---|---|
| Control Group | No intervention | –The 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 | Experimental | Behavioral: Video Conferencing GroupThe 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 | Experimental | Behavioral: In Person GroupThe 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. |
Who may qualify
- Ages
- 18 to 65 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (1 listed)
- 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
Key exclusion criteria (1 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Video Conferencing Group | Behavioural | Video Conferencing Health Coaching |
| In Person Group | Behavioural | In Person Health Coaching |
Primary outcome
Weight loss in (kg)
Time frame: Change in weight between baseline (week 0) and post intervention (week 12)
Investigators examined body weight changes between groups baseline (week 0) and post intervention (week12).
5 secondary outcomes
Comparison of daily step average per day by group (n=10 for each group).
Time frame: Average steps per day/week over a 12 week period.
Hba1c pre and post intervention
Time frame: Pre and Post (a 12 week study)
Insulin pre and post intervention
Time frame: Pre and Post (a 12 week study)
Blood glucose pre and post intervention
Time frame: Pre and Post (a 12 week study)
Homeostasis Model Assessment Insulin resistance (HOMA-IR)
Time frame: Pre and Post (a 12 week study)
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 14 Sep 2017.
- Background: PubMed 8341308Hubble 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.
- Background: PubMed 25986214Rollo 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.
- Background: PubMed 20484125Davis 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.
- Background: PubMed 20809820Olsen 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.
- Background: PubMed 26223309Huber 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.
- Background: PubMed 19282824Ferrante 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.
- Background: PubMed 15884026Bennett 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.
- Background: PubMed 26911820Shaw 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.
- Background: PubMed 25705553Jeon 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.
- Background: PubMed 24898716American 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.
- Background: PubMed 25127667Kivela 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.
- Background: PubMed 22001689Hersey 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.
- Individual participant dataSharing planned: Undecided. It is not yet known if there will be a plan to make IPD available.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Ann Gibson, PhD study chair
University of New Mexico
Questions about this trial
What is this clinical trial studying?
A study testing Video Conferencing Group and In Person Group in people with Obesity and Weight Loss, run by University of New Mexico.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 14 Sep 2017. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Weight loss in (kg) (time frame: Change in weight between baseline (week 0) and post intervention (week 12)). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03278951, which also lists 13 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 14 Sep 2017.