Clinical trial NCT03394638: Assessing the Value of eHealth for Bariatric Surgery
Official title: Assessing the Value of eHealth for Bariatric Surgery
Study type: INTERVENTIONAL
Overall status: UNKNOWN
Phase: NA
Conditions: Bariatric Surgery
Obesity
Telemedicine
Keywords: eHealth
Bariatric surgery
Obesity
Telemedicine
Lead sponsor: Catharina Ziekenhuis Eindhoven
Sponsor class: OTHER
First posted: 2018-01-09
Enrollment: 200
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Allocation: RANDOMIZED
Intervention model: PARALLEL
Primary purpose: TREATMENT

Brief summary: Bariatric surgery is the only treatment with long standing effect of morbid obesity. The key elements to success are the patient-selection, an experienced bariatric team and a completed follow-up program. Follow-up programs can consist of, for example, providing social support in support groups, teaching psychological skills, such as coping with the body change or teaching self-regulation of body weight. Furthermore, follow-up is important for dietary and sports counselling. The experience of the team members and coaching skills are essential in indicating the suitable procedure if necessary and guide the patients through the process. Various studies showed a significant positive effect of a completed follow-up program after bariatric surgery on maintaining weight loss. There is a burden for this on site provided care as organizational and financial resources are not unlimited. Especially as the follow-up period is an obligatory 5 years or if possible life long. Even if this aftercare is provided, not all patients complete the complete program. Various reasons are possible for an increasing no-show-rate, the loss of enthusiasm for onsite visits could be one of them. Analogue to other chronic diseases, the addition of telehealth could be useful. Telehealth is the delivery of health-related services and information via telecommunications technologies. It encompasses preventative, promotive and curative aspects. Examples are exchanging health services or education via videoconference, transmission of medical data for disease management (remote monitoring) and advice on prevention of diseases and promotion of good health by patient monitoring and follow-up. The participation of eHealth has been investigated and considered useful in the treatment of obesity. In a systematic review self-measured blood pressure monitoring was associated with better control of hypertension at least in the first year. Its value in a bariatric tract has not been investigated. It can be hypothesized that self-control by eHealth could enhance clinical outcome as more weight loss and comorbidity reduction. Long-term realistic goals setting, consistent use of routines and self-monitoring has been proven effective for weight loss maintenance. Patients with higher self-control are more certain regarding their abilities, which cause higher commitment and adherence to the program. This eventually leads to more weight loss. For this purpose an online monitoring program was designed for our Obesity Centre (BePATIENT) to provide preoperative information as well as aids in the post-bariatric phase by self-control wireless devices for registration of biometric outcomes, teleconference opportunities and access to additional information. In a prospective trial the implementation in several degrees is evaluated.


Eligibility criteria: Inclusion Criteria:

1. Completed the questionnaire online
2. Having ongoing access to internet
3. Ability to use a model of mobile device (smartphone or tablet) with any version of the Android or iOS platform
4. A body mass index above 40 kg/m2 or above 35 kg/m2 with related comorbidity (hypertension, diabetes type 2, hyperlipidaemia, obstructive sleep apnea syndrome or joint arthritis of lower limbs)
5. A primary gastric sleeve or bypass planned
6. Age of 18 years or more
7. Ability to read and write the Dutch language
8. Signed informed consent

Exclusion Criteria:

1. Patients not meeting the inclusion criteria

Primary outcomes:
measure: Body Mass Index (BMI)
timeFrame: 2 years after the operation
Secondary outcomes:
measure: Quality of Life
timeFrame: At 1 and 2 years after the operation
measure: Evolution of obesity related comorbidities
timeFrame: At 1 and 2 years after the operation
measure: Program commitment
timeFrame: At 1 and 2 years after the operation
measure: Technical errors biometric devices
timeFrame: At 2 years after the operation
measure: Length of hospitalization
timeFrame: At 2 years after the operation
measure: Return to work (days)
timeFrame: At 1 year after the operation.
measure: Patients' satisfaction
timeFrame: At 1 and 2 years after the operation
measure: Health care suppliers' satisfaction
timeFrame: At 1 and 2 years after the operation
Other outcomes:
Locations:
city: Eindhoven
country: Netherlands
facility: Catharina Hospital
state: Noord Brabant
Study officials:
affiliation: Department of Surgery, Catharina Hospital Eindhoven
name: Simon Nienhuijs, MD, PhD
role: PRINCIPAL_INVESTIGATOR
References:
citation: Livhits M, Mercado C, Yermilov I, Parikh JA, Dutson E, Mehran A, Ko CY, Shekelle PG, Gibbons MM. Is social support associated with greater weight loss after bariatric surgery?: a systematic review. Obes Rev. 2011 Feb;12(2):142-8. doi: 10.1111/j.1467-789X.2010.00720.x.
citation: [2] Lyons K, Meisner B, Sockalingam S, Cassin S.. Body image after bariatric surgery: A qualitative study. Bariatric Surgical Practice and Patient Care. March 2014, 9(1): 41-49.
citation: Petasne Nijamkin M, Campa A, Samiri Nijamkin S, Sosa J. Comprehensive behavioral-motivational nutrition education improves depressive symptoms following bariatric surgery: a randomized, controlled trial of obese Hispanic Americans. J Nutr Educ Behav. 2013 Nov-Dec;45(6):620-6. doi: 10.1016/j.jneb.2013.04.264. Epub 2013 Jun 29.
citation: Mundi MS, Lorentz PA, Grothe K, Kellogg TA, Collazo-Clavell ML. Feasibility of Smartphone-Based Education Modules and Ecological Momentary Assessment/Intervention in Pre-bariatric Surgery Patients. Obes Surg. 2015 Oct;25(10):1875-81. doi: 10.1007/s11695-015-1617-7.
citation: Bond DS, Thomas JG. Measurement and Intervention on Physical Activity and Sedentary Behaviours in Bariatric Surgery Patients: Emphasis on Mobile Technology. Eur Eat Disord Rev. 2015 Nov;23(6):470-8. doi: 10.1002/erv.2394. Epub 2015 Sep 2.
citation: Kim HJ, Madan A, Fenton-Lee D. Does patient compliance with follow-up influence weight loss after gastric bypass surgery? A systematic review and meta-analysis. Obes Surg. 2014 Apr;24(4):647-51. doi: 10.1007/s11695-014-1178-1.
citation: Sysko R, Hildebrandt TB, Kaplan S, Brewer SK, Zitsman JL, Devlin MJ. Predictors and correlates of follow-up visit adherence among adolescents receiving laparoscopic adjustable gastric banding. Surg Obes Relat Dis. 2014 Sep-Oct;10(5):914-20. doi: 10.1016/j.soard.2014.03.012. Epub 2014 Mar 28.
citation: Haggerty AF, Huepenbecker S, Sarwer DB, Spitzer J, Raggio G, Chu CS, Ko E, Allison KC. The use of novel technology-based weight loss interventions for obese women with endometrial hyperplasia and cancer. Gynecol Oncol. 2016 Feb;140(2):239-44. doi: 10.1016/j.ygyno.2015.11.033. Epub 2015 Nov 28.
citation: Skoyen JA, Rutledge T, Wiese JA, Woods GN. Evaluation of TeleMOVE: a Telehealth Weight Reduction Intervention for Veterans with Obesity. Ann Behav Med. 2015 Aug;49(4):628-33. doi: 10.1007/s12160-015-9690-7.
citation: Azar KM, Aurora M, Wang EJ, Muzaffar A, Pressman A, Palaniappan LP. Virtual small groups for weight management: an innovative delivery mechanism for evidence-based lifestyle interventions among obese men. Transl Behav Med. 2015 Mar;5(1):37-44. doi: 10.1007/s13142-014-0296-6.
citation: Steinberg DM, Levine EL, Lane I, Askew S, Foley PB, Puleo E, Bennett GG. Adherence to self-monitoring via interactive voice response technology in an eHealth intervention targeting weight gain prevention among Black women: randomized controlled trial. J Med Internet Res. 2014 Apr 29;16(4):e114. doi: 10.2196/jmir.2996.
citation: Luley C, Blaik A, Gotz A, Kicherer F, Kropf S, Isermann B, Stumm G, Westphal S. Weight loss by telemonitoring of nutrition and physical activity in patients with metabolic syndrome for 1 year. J Am Coll Nutr. 2014;33(5):363-74. doi: 10.1080/07315724.2013.875437. Epub 2014 Aug 8.
citation: Ahrendt AD, Kattelmann KK, Rector TS, Maddox DA. The effectiveness of telemedicine for weight management in the MOVE! Program. J Rural Health. 2014 Winter;30(1):113-9. doi: 10.1111/jrh.12049. Epub 2013 Sep 24.
citation: Uhlig K, Patel K, Ip S, Kitsios GD, Balk EM. Self-measured blood pressure monitoring in the management of hypertension: a systematic review and meta-analysis. Ann Intern Med. 2013 Aug 6;159(3):185-94. doi: 10.7326/0003-4819-159-3-201308060-00008.
citation: McKee H, Ntoumanis N, Smith B. Weight maintenance: self-regulatory factors underpinning success and failure. Psychol Health. 2013;28(10):1207-23. doi: 10.1080/08870446.2013.799162. Epub 2013 Jun 14.