- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03690557
Examining Reach and Implementation of an Evidence-based Weight Loss Program in Rural Primary Care
Study Overview
Detailed Description
In the United States, the choice to eat energy-dense foods and engage in sedentary activities is attractive and convenient. More than two thirds of adults in the US are either overweight or obese, with rural residents experiencing a disproportionally higher prevalence of obesity, particularly in the state of Nebraska. Excess body weight carries with it a host of adverse conditions: type II diabetes, coronary heart disease, hypertension, some cancers, and early mortality. The high prevalence of obesity and its consequences have catalyzed the development of many weight management interventions that have been effective in helping individuals initiate weight loss and maintain a healthy weight. Despite their demonstrated efficacy, few of these programs have been systematically and consistently translated into typical clinical practice or community services. This translation is especially scarce in rural communities.
Programs designed to improve weight loss that target rural communities can be a challenge to design and implement, due to the lack of resources available in rural communities to support such programs. However, primary care clinics may provide an ideal setting to implement effective diet, physical activity, and weight management support. Despite the lack of resources, most rural communities have a primary care provider who is trusted by patients to provide counseling on healthy behaviors. Furthermore, programs delivered through the private sector that engage patients and organizational decision makers, such as primary care providers, are hypothesized to be more sustainable.
Primary care systems may offer a practical and sustainable method of implementing meaningful weight management interventions, but few weight management programs are currently available that can be readily adopted into rural primary care practice. To address the gap in translating programs into practice, the investigators will use the National Cancer Institutes (NCI) Putting Public Health Evidence in Action process, which provides steps for defining evidence-based programs, assessing resources and need in the community, and ultimately choosing an evidence based program for implementation. The investigators will modify the NCI process to include, but move beyond, simply considering the magnitude of weight loss as the primary factor in the selection process. Additionally, the investigators will address factors related to scalability, clinical uptake, and sustainability which are key for the translation of evidence-based interventions into practice. The RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework will be used to consider the impact at the individual and organizational levels of the weight management approaches. Reach (i.e., the participation rate of individuals from the target population and representativeness of those who participate) and effectiveness are the two factors considered to contribute to overall impact when translating evidence-based strategies into typical practice. These factors can be addressed by developing a system within primary care that provides opportunities for quick and representative accrual of participants, provides clinics with an evidence-based program, and provides a tracking and evaluating system to determine the potential population health impact of the intervention.
The intent of the proposed project is to increase the capacity of primary care in rural Nebraska to translate evidence-based weight management approaches into practice, improve the speed of uptake and the likelihood of sustainability, and reach a large and representative group of individuals.Effective weight loss programs are available, but the question of how best to deliver these interventions to the general public remains. The proposed study will help to improve the translation of evidence-based programs into typical clinical practice and determine best practices for patient recruitment and referral. This will be done through the completion of the following aims:
Aim 1: Conduct a limited effectiveness and feasibility (including cost) study of the IncentaHealth intervention to determine impact on weight loss of 100 overweight and obese patients. The proportion of participants who experience a clinically meaningful weight loss (i.e., 5% initial body weight) at 6-months and cost per participant achieving this bench march will also be reported.
Aim 2: Test methods to increase intervention reach using a 2X2 randomized recruitment design (in-visit referral vs electronic health record screening and mailed referral; active vs passive follow-up) within a rural primary care clinic in Nebraska.
The completion of these aims has the potential to affect the health of rural Nebraskans and influence future efforts to translate evidence-based weight management programs into rural primary-care practice.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Nebraska
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David City, Nebraska, United States, 68632
- Butler County Clinic
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Patient of Butler County Clinic in David City, Nebraska
- BMI ≥25 (determined by patients electronic medical record measurement)
- Aged 19 or older
- Own an Apple or Android smartphone
- Have an active email address and have an understanding of how to navigate the internet
- Able to engage in physical activity and modify eating habits
- Approved to participate by primary care provider
- Capable of providing consent to participate
Exclusion Criteria:
- Not meeting all inclusion criteria
- Currently scheduled for bariatric surgery or had bariatric surgery within the past 3 years
- Currently undergoing treatment for cancer
- Currently on a prescribed medical diet
- Diagnosed with an eating disorder
- Currently participating in another weight management activity or interventional research trial
- Had a heart attack or stroke within the past 6 months or currently in cardiac rehabilitation
- Currently on dialysis or an active organ transplant list
- Currently pregnant or planning to become pregnant in the next 12 months
- Planning to move outside of the recruitment area in the next 12 months
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: IncentaHealth
All patients who decide to join the weight loss program will be enrolled in the commercially-available IncentaHealth program - a comprehensive, evidence-based, behavioral weight management program designed to help patients initiate and maintain weight loss.
The program is delivered completely online, via website, emails, mobile app, and (if requested by the participant) text messaging over 12 months.
Each participant will be given a digital scale that wirelessly syncs with a smartphone app.
Participants' weights are automatically uploaded to the Incentahealth online portal.
In the informed consent process, participants will need to agree to release their weight data to researchers at the University of Nebraska Medical Center in order to participate in this program.
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IncentaHealth is a comprehensive, behavioral weight management program designed to help individuals initiate and maintain weight loss.
Individuals participate in the IncentaHealth program from their homes, receive program information electronically through daily emails and through a smartphone app for the duration of the study, and have the option to receive text messages and speak with health coaches over the telephone.
Participants in this study will be enrolled in the IncentaHealth program for 12 months, and will engage with health coaching, tracking of body weight, and are provided a number of resources for healthy living throughout the 12 months.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Percent of Initial Body Weight Lost/Gained [Effectiveness]
Time Frame: Baseline, 6, and 12 months
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Change in weight, measured in percent of body weight
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Baseline, 6, and 12 months
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Enrollment Rate per Each Recruitment Strategy [Reach]
Time Frame: In two-week intervals until recruitment cap is met
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Proportion of individuals who enroll in the program per each recruitment strategy
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In two-week intervals until recruitment cap is met
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Clinically Meaningful Weight Loss
Time Frame: Baseline, 6, and 12 months
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Yes/no did the participant lose 5% of their initial body weight
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Baseline, 6, and 12 months
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Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change in Weight Loss Self-Efficacy Questionnaire Scores
Time Frame: Baseline and 12 months
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Changes in scores of self-efficacy for weight loss using the Weight Loss Self-Efficacy subscale as described in Wilson et al, 2016.
Scores range from 0 (least confident) to 100 (most confident).
An increase in score from baseline to 12 months indicates an increase in self-efficacy for weight loss.
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Baseline and 12 months
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Change in Physical Activity Self-Efficacy Questionnaire Scores
Time Frame: Baseline and 12 months
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Changes in scores of self-efficacy for physical activity using the Physical Activity Self-Efficacy subscale as described in Wilson et al, 2016.
Scores range from 0 (least confident) to 100 (most confident).
An increase in score from baseline to 12 months indicates an increase in self-efficacy for physical activity.
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Baseline and 12 months
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Change in Healthful Eating Self-Efficacy Questionnaire Scores
Time Frame: Baseline and 12 months
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Changes in scores of self-efficacy for healthful eating using the Healthful Eating Self-Efficacy subscale as described in Wilson et al, 2016.
Scores range from 0 (least confident) to 100 (most confident).
An increase in score from baseline to 12 months indicates an increase in self-efficacy for healthful eating.
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Baseline and 12 months
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Gwenndolyn C Porter, MS, University of Nebraska
Publications and helpful links
General Publications
- Green LW, Glasgow RE, Atkins D, Stange K. Making evidence from research more relevant, useful, and actionable in policy, program planning, and practice slips "twixt cup and lip". Am J Prev Med. 2009 Dec;37(6 Suppl 1):S187-91. doi: 10.1016/j.amepre.2009.08.017. No abstract available.
- Donnelly JE, Hill JO, Jacobsen DJ, Potteiger J, Sullivan DK, Johnson SL, Heelan K, Hise M, Fennessey PV, Sonko B, Sharp T, Jakicic JM, Blair SN, Tran ZV, Mayo M, Gibson C, Washburn RA. Effects of a 16-month randomized controlled exercise trial on body weight and composition in young, overweight men and women: the Midwest Exercise Trial. Arch Intern Med. 2003 Jun 9;163(11):1343-50. doi: 10.1001/archinte.163.11.1343.
- Olshansky SJ, Passaro DJ, Hershow RC, Layden J, Carnes BA, Brody J, Hayflick L, Butler RN, Allison DB, Ludwig DS. A potential decline in life expectancy in the United States in the 21st century. N Engl J Med. 2005 Mar 17;352(11):1138-45. doi: 10.1056/NEJMsr043743.
- Akers JD, Estabrooks PA, Davy BM. Translational research: bridging the gap between long-term weight loss maintenance research and practice. J Am Diet Assoc. 2010 Oct;110(10):1511-22, 1522.e1-3. doi: 10.1016/j.jada.2010.07.005.
- Guh DP, Zhang W, Bansback N, Amarsi Z, Birmingham CL, Anis AH. The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis. BMC Public Health. 2009 Mar 25;9:88. doi: 10.1186/1471-2458-9-88.
- Befort CA, Nazir N, Perri MG. Prevalence of obesity among adults from rural and urban areas of the United States: findings from NHANES (2005-2008). J Rural Health. 2012 Fall;28(4):392-7. doi: 10.1111/j.1748-0361.2012.00411.x. Epub 2012 May 31.
- Leeman J, Calancie L, Hartman MA, Escoffery CT, Herrmann AK, Tague LE, Moore AA, Wilson KM, Schreiner M, Samuel-Hodge C. What strategies are used to build practitioners' capacity to implement community-based interventions and are they effective?: a systematic review. Implement Sci. 2015 May 29;10:80. doi: 10.1186/s13012-015-0272-7.
- Perri MG, Limacher MC, Durning PE, Janicke DM, Lutes LD, Bobroff LB, Dale MS, Daniels MJ, Radcliff TA, Martin AD. Extended-care programs for weight management in rural communities: the treatment of obesity in underserved rural settings (TOURS) randomized trial. Arch Intern Med. 2008 Nov 24;168(21):2347-54. doi: 10.1001/archinte.168.21.2347.
- Perri MG, Sears SF Jr, Clark JE. Strategies for improving maintenance of weight loss. Toward a continuous care model of obesity management. Diabetes Care. 1993 Jan;16(1):200-9. doi: 10.2337/diacare.16.1.200.
- Perri MG, McAdoo WG, Spevak PA, Newlin DB. Effect of a multicomponent maintenance program on long-term weight loss. J Consult Clin Psychol. 1984 Jun;52(3):480-1. doi: 10.1037//0022-006x.52.3.480. No abstract available.
- Glasgow RE, Goldstein MG, Ockene JK, Pronk NP. Translating what we have learned into practice. Principles and hypotheses for interventions addressing multiple behaviors in primary care. Am J Prev Med. 2004 Aug;27(2 Suppl):88-101. doi: 10.1016/j.amepre.2004.04.019.
- Ely AC, Befort C, Banitt A, Gibson C, Sullivan D. A qualitative assessment of weight control among rural Kansas women. J Nutr Educ Behav. 2009 May-Jun;41(3):207-11. doi: 10.1016/j.jneb.2008.04.355.
- Ard JD. Unique perspectives on the obesogenic environment. J Gen Intern Med. 2007 Jul;22(7):1058-60. doi: 10.1007/s11606-007-0243-z. No abstract available.
- Swinburn B, Egger G. The runaway weight gain train: too many accelerators, not enough brakes. BMJ. 2004 Sep 25;329(7468):736-9. doi: 10.1136/bmj.329.7468.736.
- Rural 2010 Health Goals and Objectives for Nebraska: Progress Report.; 2008. http://dhhs.ne.gov/Documents/Rural_Prog_Rpt.pdf. Accessed July 21, 2016.
- Rejeski WJ, Brubaker PH, Goff DC Jr, Bearon LB, McClelland JW, Perri MG, Ambrosius WT. Translating weight loss and physical activity programs into the community to preserve mobility in older, obese adults in poor cardiovascular health. Arch Intern Med. 2011 May 23;171(10):880-6. doi: 10.1001/archinternmed.2010.522. Epub 2011 Jan 24.
- Almeida FA, You W, Harden SM, Blackman KC, Davy BM, Glasgow RE, Hill JL, Linnan LA, Wall SS, Yenerall J, Zoellner JM, Estabrooks PA. Effectiveness of a worksite-based weight loss randomized controlled trial: the worksite study. Obesity (Silver Spring). 2015 Apr;23(4):737-45. doi: 10.1002/oby.20899. Epub 2015 Feb 12.
- Estabrooks PA, Glasgow RE. Translating effective clinic-based physical activity interventions into practice. Am J Prev Med. 2006 Oct;31(4 Suppl):S45-56. doi: 10.1016/j.amepre.2006.06.019.
- AuYoung M, Linke SE, Pagoto S, Buman MP, Craft LL, Richardson CR, Hutber A, Marcus BH, Estabrooks P, Sheinfeld Gorin S. Integrating Physical Activity in Primary Care Practice. Am J Med. 2016 Oct;129(10):1022-9. doi: 10.1016/j.amjmed.2016.02.008. Epub 2016 Mar 4.
- Chan L, Hart LG, Goodman DC. Geographic access to health care for rural Medicare beneficiaries. J Rural Health. 2006 Spring;22(2):140-6. doi: 10.1111/j.1748-0361.2006.00022.x.
- Huang TT-K, Grimm B, Hammond RA. A systems-based typological framework for understanding the sustainability, scalability, and reach of childhood obesity interventions. Child Heal Care. 2011;40(3):253-266. doi:10.1080/02739615.2011.590399
- Leeman J, Calancie L, Kegler MC, Escoffery CT, Herrmann AK, Thatcher E, Hartman MA, Fernandez ME. Developing Theory to Guide Building Practitioners' Capacity to Implement Evidence-Based Interventions. Health Educ Behav. 2017 Feb;44(1):59-69. doi: 10.1177/1090198115610572. Epub 2016 Jul 10.
- Cancer Prevention and Control Research Network. Putting Public Health Evidence in Action. Produced by the Centers for Disease Control and Prevention and the National Cancer Institute. Retreived from http://cpcrn.org/pub/evidence-in-action/, October 2017.
- Chorpita BF, Daleiden EL, Weisz JR. Identifying and selecting the common elements of evidence based interventions: a distillation and matching model. Ment Health Serv Res. 2005 Mar;7(1):5-20. doi: 10.1007/s11020-005-1962-6.
- Wilson KE, Harden SM, Almeida FA, You W, Hill JL, Goessl C, Estabrooks PA. Brief self-efficacy scales for use in weight-loss trials: Preliminary evidence of validity. Psychol Assess. 2016 Oct;28(10):1255-1264. doi: 10.1037/pas0000249. Epub 2015 Nov 30.
- Porter G, Michaud TL, Schwab RJ, Hill JL, Estabrooks PA. Reach Outcomes and Costs of Different Physician Referral Strategies for a Weight Management Program Among Rural Primary Care Patients: Type 3 Hybrid Effectiveness-Implementation Trial. JMIR Form Res. 2021 Oct 20;5(10):e28622. doi: 10.2196/28622.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 0581-18-EP
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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