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Hammerback K, Kava CM, Passey DG, Hahn J, Huff A, Kohn MJ, Harris JR, Hannon PA. Development and Pilot Test of an Online Training to Engage Managers to Support Workplace Wellness. J Occup Environ Med 2021; 63:794-799. [PMID: 33883530 DOI: 10.1097/jom.0000000000002237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To contribute to a broader understanding of effective implementation strategies to help managers engage employees in workplace wellness. METHODS We beta-tested an online training at four Washington state agencies (two test, two control). We administered a post-training evaluation, re-administered an online manager survey and conducted additional interviews with wellness leads. RESULTS Training participation rate was high. The two test agencies experienced a significant increase in the percentage of managers who: agreed that they received training on employee wellness; agreed their agency's culture supports employee wellness; and encouraged their employees to participate in wellness activities. Approximately 80% of managers who received the training agreed they could apply information learned to support employee wellness. CONCLUSIONS If proven effective, the training could be administered at a low cost and disseminated to improve employee health.
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Affiliation(s)
- Kristen Hammerback
- Health Promotion Research Center, Department of Health Services, School of Public Health, University of Washington, Seattle, Washington (Ms Hammerback, Dr Kava, Ms Kohn, Dr Harris, and Dr Hannon); University of Utah School of Medicine, Division of Epidemiology, Salt Lake City, Utah (Dr Passey); Washington State Department of Enterprise Services, Olympia, Washington (Mr Hahn); Washington State Health Care Authority, Olympia, Washington (Mr Huff)
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Higgins ST, Kurti AN, Davis DR. Voucher-Based Contingency Management is Efficacious but Underutilized in Treating Addictions. Perspect Behav Sci 2019; 42:501-524. [PMID: 31976447 PMCID: PMC6768932 DOI: 10.1007/s40614-019-00216-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
The United States lags far behind other industrialized countries on major markers of population health. Population health experts identify unhealthy behavior patterns (e.g., cigarette smoking, other substance use disorders, physical inactivity and poor food choices, nonadherence with recommended medical regimens) as the largest contributor to the status quo. Because these risk behaviors are overrepresented in socioeconomically disadvantaged and other vulnerable populations, they also increase health disparities. Hence, identifying evidence-based strategies to promote and sustain health-related behavior change is critical to improving U.S. population health. In this report, we review research demonstrating the efficacy of voucher-based contingency management delivered alone or in combination with other interventions for treating substance use disorders and other health-related behavior problems. The efficacy supporting these interventions is robust and discernible at the level of controlled randomized clinical trials and meta-analyses. Unfortunately, these evidence-based interventions are being underutilized in routine clinical care for substance use disorders, although they are used broadly in private-sector wellness programs and international programs to reduce chronic poverty. This report reviews the evidence supporting the efficacy of voucher-based contingency management using projects developed at the University of Vermont as exemplars and discusses dissemination of the model to public and private sector efforts to improve individual and population health.
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Affiliation(s)
- Stephen T. Higgins
- Vermont Center on Behavior and Health, Department of Psychiatry and Psychological Science, University of Vermont, Burlington, VT USA
| | - Allison N. Kurti
- Vermont Center on Behavior and Health, Department of Psychiatry and Psychological Science, University of Vermont, Burlington, VT USA
| | - Danielle R. Davis
- Vermont Center on Behavior and Health, Department of Psychiatry and Psychological Science, University of Vermont, Burlington, VT USA
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Feldman SS, Cochran RA, Mehta T. Predictors of Weight Change: Findings From an Employee Wellness Program. Front Endocrinol (Lausanne) 2019; 10:77. [PMID: 30837948 PMCID: PMC6389601 DOI: 10.3389/fendo.2019.00077] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2018] [Accepted: 01/28/2019] [Indexed: 11/13/2022] Open
Abstract
Introduction: Employers are instituting employee wellness programs that include educational, lifestyle coaching, and weight and other condition management components to address obesity-related issues in the workplace. However, the findings of such wellness initiatives have been mixed. The purpose of this exploratory study is to determine whether the readiness for change measures are important predictors of weight loss in an employee wellness program. Methods: Retrospective data analysis of an employee wellness program conducted in the United States was conducted using data collected between 2014 and 2015 for people with BMI ≥ 30. These participants were assigned to one of two subprograms: weight management or condition management. We assessed the weight change within each program. Further, the relationship between weight change and readiness for change variables for weight, diet, and physical activity were examined by applying multiple linear regression and logistic regression models. The multivariable model included subprogram; gender; age; systolic and diastolic blood pressure; risk factor count; readiness for change for weight, activity, and diet; and stress level as covariates. Results: There were 209 participants in the weight management program and 243 participants in the condition management program who met the criteria for obesity, resulting in a final sample of 452 participants. On average, the weight change for these participants was -0.28 pounds (SD = 15.55) and there was no statistical difference between the weight change in the two programs. When compared to the reference group (maintenance), participants at the action stage of physical activity, on average, lost weight (b = -4.59, p = 0.02). Likewise, participants at the pre-contemplation stage of physical activity lost weight when compared to the maintenance group (b = -26.24, p = 0.000). Participants at the pre-contemplation stage of physical activity had higher odds of achieving at least 5% weight loss than participants at the maintenance stage (OR = 5.80, p = 0.053). Conclusion: Readiness for change for activity may be a predictor of weight change, and may predict the likelihood of achieving clinically significant weight loss. These findings can assist in targeting subjects for participation in such programs. The findings regarding the relationship between readiness for change and weight loss are counterintuitive, and further research is warranted in this area.
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Halpern SD, Harhay MO, Saulsgiver K, Brophy C, Troxel AB, Volpp KG. A Pragmatic Trial of E-Cigarettes, Incentives, and Drugs for Smoking Cessation. N Engl J Med 2018; 378:2302-2310. [PMID: 29791259 DOI: 10.1056/nejmsa1715757] [Citation(s) in RCA: 144] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND Whether financial incentives, pharmacologic therapies, and electronic cigarettes (e-cigarettes) promote smoking cessation among unselected smokers is unknown. METHODS We randomly assigned smokers employed by 54 companies to one of four smoking-cessation interventions or to usual care. Usual care consisted of access to information regarding the benefits of smoking cessation and to a motivational text-messaging service. The four interventions consisted of usual care plus one of the following: free cessation aids (nicotine-replacement therapy or pharmacotherapy, with e-cigarettes if standard therapies failed); free e-cigarettes, without a requirement that standard therapies had been tried; free cessation aids plus $600 in rewards for sustained abstinence; or free cessation aids plus $600 in redeemable funds, deposited in a separate account for each participant, with money removed from the account if cessation milestones were not met. The primary outcome was sustained smoking abstinence for 6 months after the target quit date. RESULTS Among 6131 smokers who were invited to enroll, 125 opted out and 6006 underwent randomization. Sustained abstinence rates through 6 months were 0.1% in the usual-care group, 0.5% in the free cessation aids group, 1.0% in the free e-cigarettes group, 2.0% in the rewards group, and 2.9% in the redeemable deposit group. With respect to sustained abstinence rates, redeemable deposits and rewards were superior to free cessation aids (P<0.001 and P=0.006, respectively, with significance levels adjusted for multiple comparisons). Redeemable deposits were superior to free e-cigarettes (P=0.008). Free e-cigarettes were not superior to usual care (P=0.20) or to free cessation aids (P=0.43). Among the 1191 employees (19.8%) who actively participated in the trial (the "engaged" cohort), sustained abstinence rates were four to six times as high as those among participants who did not actively engage in the trial, with similar relative effectiveness. CONCLUSIONS In this pragmatic trial of smoking cessation, financial incentives added to free cessation aids resulted in a higher rate of sustained smoking abstinence than free cessation aids alone. Among smokers who received usual care (information and motivational text messages), the addition of free cessation aids or e-cigarettes did not provide a benefit. (Funded by the Vitality Institute; ClinicalTrials.gov number, NCT02328794 .).
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Affiliation(s)
- Scott D Halpern
- From the Departments of Medicine (S.D.H., K.G.V.), Medical Ethics and Health Policy (S.D.H., K.G.V.), and Biostatistics, Epidemiology, and Informatics (S.D.H., M.O.H., K.S.), University of Pennsylvania Perelman School of Medicine, the Center for Health Incentives and Behavioral Economics at the Leonard Davis Institute of Health Economics (S.D.H., M.O.H., K.S., A.B.T., K.G.V.), the Palliative and Advanced Illness Research Center (S.D.H., M.O.H.), and the Department of Health Care Management, Wharton School (K.G.V.), University of Pennsylvania, and the Center for Health Equity Research and Promotion, Philadelphia Veterans Affairs Medical Center (M.O.H., K.G.V.) - all in Philadelphia; and the Vitality Institute (C.B.) and the Division of Biostatistics, New York University Langone Medical Center (A.B.T.) - both in New York
| | - Michael O Harhay
- From the Departments of Medicine (S.D.H., K.G.V.), Medical Ethics and Health Policy (S.D.H., K.G.V.), and Biostatistics, Epidemiology, and Informatics (S.D.H., M.O.H., K.S.), University of Pennsylvania Perelman School of Medicine, the Center for Health Incentives and Behavioral Economics at the Leonard Davis Institute of Health Economics (S.D.H., M.O.H., K.S., A.B.T., K.G.V.), the Palliative and Advanced Illness Research Center (S.D.H., M.O.H.), and the Department of Health Care Management, Wharton School (K.G.V.), University of Pennsylvania, and the Center for Health Equity Research and Promotion, Philadelphia Veterans Affairs Medical Center (M.O.H., K.G.V.) - all in Philadelphia; and the Vitality Institute (C.B.) and the Division of Biostatistics, New York University Langone Medical Center (A.B.T.) - both in New York
| | - Kathryn Saulsgiver
- From the Departments of Medicine (S.D.H., K.G.V.), Medical Ethics and Health Policy (S.D.H., K.G.V.), and Biostatistics, Epidemiology, and Informatics (S.D.H., M.O.H., K.S.), University of Pennsylvania Perelman School of Medicine, the Center for Health Incentives and Behavioral Economics at the Leonard Davis Institute of Health Economics (S.D.H., M.O.H., K.S., A.B.T., K.G.V.), the Palliative and Advanced Illness Research Center (S.D.H., M.O.H.), and the Department of Health Care Management, Wharton School (K.G.V.), University of Pennsylvania, and the Center for Health Equity Research and Promotion, Philadelphia Veterans Affairs Medical Center (M.O.H., K.G.V.) - all in Philadelphia; and the Vitality Institute (C.B.) and the Division of Biostatistics, New York University Langone Medical Center (A.B.T.) - both in New York
| | - Christine Brophy
- From the Departments of Medicine (S.D.H., K.G.V.), Medical Ethics and Health Policy (S.D.H., K.G.V.), and Biostatistics, Epidemiology, and Informatics (S.D.H., M.O.H., K.S.), University of Pennsylvania Perelman School of Medicine, the Center for Health Incentives and Behavioral Economics at the Leonard Davis Institute of Health Economics (S.D.H., M.O.H., K.S., A.B.T., K.G.V.), the Palliative and Advanced Illness Research Center (S.D.H., M.O.H.), and the Department of Health Care Management, Wharton School (K.G.V.), University of Pennsylvania, and the Center for Health Equity Research and Promotion, Philadelphia Veterans Affairs Medical Center (M.O.H., K.G.V.) - all in Philadelphia; and the Vitality Institute (C.B.) and the Division of Biostatistics, New York University Langone Medical Center (A.B.T.) - both in New York
| | - Andrea B Troxel
- From the Departments of Medicine (S.D.H., K.G.V.), Medical Ethics and Health Policy (S.D.H., K.G.V.), and Biostatistics, Epidemiology, and Informatics (S.D.H., M.O.H., K.S.), University of Pennsylvania Perelman School of Medicine, the Center for Health Incentives and Behavioral Economics at the Leonard Davis Institute of Health Economics (S.D.H., M.O.H., K.S., A.B.T., K.G.V.), the Palliative and Advanced Illness Research Center (S.D.H., M.O.H.), and the Department of Health Care Management, Wharton School (K.G.V.), University of Pennsylvania, and the Center for Health Equity Research and Promotion, Philadelphia Veterans Affairs Medical Center (M.O.H., K.G.V.) - all in Philadelphia; and the Vitality Institute (C.B.) and the Division of Biostatistics, New York University Langone Medical Center (A.B.T.) - both in New York
| | - Kevin G Volpp
- From the Departments of Medicine (S.D.H., K.G.V.), Medical Ethics and Health Policy (S.D.H., K.G.V.), and Biostatistics, Epidemiology, and Informatics (S.D.H., M.O.H., K.S.), University of Pennsylvania Perelman School of Medicine, the Center for Health Incentives and Behavioral Economics at the Leonard Davis Institute of Health Economics (S.D.H., M.O.H., K.S., A.B.T., K.G.V.), the Palliative and Advanced Illness Research Center (S.D.H., M.O.H.), and the Department of Health Care Management, Wharton School (K.G.V.), University of Pennsylvania, and the Center for Health Equity Research and Promotion, Philadelphia Veterans Affairs Medical Center (M.O.H., K.G.V.) - all in Philadelphia; and the Vitality Institute (C.B.) and the Division of Biostatistics, New York University Langone Medical Center (A.B.T.) - both in New York
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