Eugene Z Oddone1, Laura J Damschroder2, Jennifer Gierisch3, Maren Olsen4, Angela Fagerlin5, Linda Sanders6, Jordan Sparks2, Marsha Turner7, Carrie May7, Felicia McCant7, David Curry7, Courtney White-Clark7, Karen Juntilla7. 1. Center for Health Services Research in Primary Care, Durham VA Medical Center, Durham, NC, USA; Division of General Internal Medicine, Department of Medicine, Duke University Medical Center, Durham, NC, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA. Electronic address: eugene.oddone@va.gov. 2. VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA. 3. Center for Health Services Research in Primary Care, Durham VA Medical Center, Durham, NC, USA; Division of General Internal Medicine, Department of Medicine, Duke University Medical Center, Durham, NC, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA. 4. Center for Health Services Research in Primary Care, Durham VA Medical Center, Durham, NC, USA; VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA. 5. VA Salt Lake City Center for Informatics Decision Enhancement and Surveillance (IDEAS), Salt Lake City, UT, USA; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA. 6. Division of General Internal Medicine, Department of Medicine, Duke University Medical Center, Durham, NC, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA. 7. Center for Health Services Research in Primary Care, Durham VA Medical Center, Durham, NC, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
Abstract
INTRODUCTION: A large proportion of deaths and many illnesses can be attributed to three modifiable risk factors: tobacco use, overweight/obesity, and physical inactivity. Health risk assessments (HRAs) are widely available online but have not been consistently used in healthcare systems to activate patients to participate in prevention programs aimed at improving lifestyle behaviors. OBJECTIVES: The goal of this study is to test whether adding telephone-based coaching to use of a comprehensive HRA increases at-risk patients' activation and enrollment into a prevention program compared to HRA use alone. METHODS: Participants were randomized to either complete an HRA alone or in conjunction with a telephone coaching intervention. To be eligible Veterans had to have at least one modifiable risk factor (current smoker, overweight/obese, or physically inactive). The primary outcome is enrollment and participation in a prevention program by 6months. Secondary outcomes include change in a Patient Activation Measure and Framingham Risk Score. DISCUSSION: This study is the first to test a web-based health risk assessment coupled with a health coaching intervention within a large healthcare system. Results from this study will help the Veterans Health Administration (VHA) implement its national plan to include comprehensive health risk assessments as a tool to engage Veterans in prevention. The results will also inform health systems outside VHA who seek to implement Medicare's advisement that health risk assessment become a mandatory component of care under the Affordable Care Act.
RCT Entities:
INTRODUCTION: A large proportion of deaths and many illnesses can be attributed to three modifiable risk factors: tobacco use, overweight/obesity, and physical inactivity. Health risk assessments (HRAs) are widely available online but have not been consistently used in healthcare systems to activate patients to participate in prevention programs aimed at improving lifestyle behaviors. OBJECTIVES: The goal of this study is to test whether adding telephone-based coaching to use of a comprehensive HRA increases at-risk patients' activation and enrollment into a prevention program compared to HRA use alone. METHODS:Participants were randomized to either complete an HRA alone or in conjunction with a telephone coaching intervention. To be eligible Veterans had to have at least one modifiable risk factor (current smoker, overweight/obese, or physically inactive). The primary outcome is enrollment and participation in a prevention program by 6months. Secondary outcomes include change in a Patient Activation Measure and Framingham Risk Score. DISCUSSION: This study is the first to test a web-based health risk assessment coupled with a health coaching intervention within a large healthcare system. Results from this study will help the Veterans Health Administration (VHA) implement its national plan to include comprehensive health risk assessments as a tool to engage Veterans in prevention. The results will also inform health systems outside VHA who seek to implement Medicare's advisement that health risk assessment become a mandatory component of care under the Affordable Care Act.
Authors: Eugene Z Oddone; Jennifer M Gierisch; Linda L Sanders; Angela Fagerlin; Jordan Sparks; Felicia McCant; Carrie May; Maren K Olsen; Laura J Damschroder Journal: J Gen Intern Med Date: 2018-05-07 Impact factor: 5.128
Authors: Sarah S Nouri; Laura J Damschroder; Maren K Olsen; Jennifer M Gierisch; Angela Fagerlin; Linda L Sanders; Felicia McCant; Eugene Z Oddone Journal: J Gen Intern Med Date: 2019-02-12 Impact factor: 5.128
Authors: Maren K Olsen; Karen M Stechuchak; Anna Hung; Eugene Z Oddone; Laura J Damschroder; David Edelman; Matthew L Maciejewski Journal: Contemp Clin Trials Commun Date: 2020-08-13