Browsing by Author "Glasgow, Russell E."

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    Dissemination and Implementation Science Approaches for Occupational Safety and Health Research: Implications for Advancing Total Worker Health
    Guerin, Rebecca J.; Harden, Samantha M.; Rabin, Borsika A.; Rohlman, Diane S.; Cunningham, Thomas R.; TePoel, Megan R.; Parish, Megan; Glasgow, Russell E. (MDPI, 2021-10-21)
    Total Worker Health® (TWH), an initiative of the U.S. National Institute for Occupational Safety and Health, is defined as policies, programs, and practices that integrate protection from work-related health and safety hazards by promoting efforts that advance worker well-being. Interventions that apply the TWH paradigm improve workplace health more rapidly than wellness programs alone. Evidence of the barriers and facilitators to the adoption, implementation, and long-term maintenance of TWH programs is limited. Dissemination and implementation (D&I) science, the study of methods and strategies for bridging the gap between public health research and practice, can help address these system-, setting-, and worker-level factors to increase the uptake, impact, and sustainment of TWH activities. The purpose of this paper is to draw upon a synthesis of existing D&I science literature to provide TWH researchers and practitioners with: (1) an overview of D&I science; (2) a plain language explanation of key concepts in D&I science; (3) a case study example of moving a TWH intervention down the research-to-practice pipeline; and (4) a discussion of future opportunities for conducting D&I science in complex and dynamic workplace settings to increase worker safety, health, and well-being.
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    Effectiveness of a Worksite-Based Weight Loss Randomized Controlled Trial: The Worksite Study
    Almeida, Fabio A.; You, Wen; Harden, Samantha M.; Blackman, Kacie C. A.; Davy, Brenda M.; Glasgow, Russell E.; Hill, Jennie L.; Linnan, Laura A.; Wall, Sarah S.; Yenerall, Jackie; Zoellner, Jamie M.; Estabrooks, Paul A. (Wiley-Blackwell, 2015-04-01)
    Objective—To determine the effectiveness of an individually-targeted Internet-based intervention with monetary incentives (INCENT) at reducing weight of overweight and obese employees when compared to a less-intensive intervention (Livin’ My Weigh [LMW]) 6-months after program initiation. Design and Methods—Twenty-eight worksites were randomly assigned to either INCENT or LMW conditions. Both programs used evidence-based strategies to support weight loss. INCENT was delivered via daily e-mails over 12 months while LMW was delivered quarterly via both newsletters and onsite educational sessions. Generalized linear mixed models were conducted for weight change from baseline to 6-month post program and using an intention-to-treat (ITT) analysis to include all participants with baseline weight measurements. Results—Across 28 worksites, 1,790 employees (M=47 years of age; 79% Caucasian; 74% women) participated. Participants lost an average of 2.27 lbs (p< 0.001) with a BMI decrease of 0.36 kg/m2 (p< 0.01) in INCENT and LMW, respectively. The difference between INCENT and LMW group in weight loss and BMI reduction were not statistically significant.
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    Engagement in a Diabetes Self-management Website: Usage Patterns and Generalizability of Program Use
    Glasgow, Russell E.; Christiansen, Steven M.; Kurz, Deanna; King, Diane K.; Woolley, Tim; Faber, Andrew J.; Estabrooks, Paul A.; Strycker, Lisa; Toobert, Deborah; Dickman, Jennifer (2011-01)
    Background: Increased access to the Internet and the availability of efficacious eHealth interventions offer great promise for assisting adults with diabetes to change and maintain health behaviors. A key concern is whether levels of engagement in Internet programs are sufficient to promote and sustain behavior change. Objective: This paper used automated data from an ongoing Internet-based diabetes self-management intervention study to calculate various indices of website engagement. The multimedia website involved goal setting, action planning, and self-monitoring as well as offering features such as "Ask an Expert" to enhance healthy eating, physical activity, and medication adherence. We also investigated participant characteristics associated with website engagement and the relationship between website use and 4-month behavioral and health outcomes. Methods: We report on participants in a randomized controlled trial (RCT) who were randomized to receive (1) the website alone (n = 137) or (2) the website plus human support (n = 133) that included additional phone calls and group meetings. The website was available in English and Spanish and included features to enhance engagement and user experience. A number of engagement variables were calculated for each participant including number of log-ins, number of website components visited at least twice, number of days entering self-monitoring data, number of visits to the "Action Plan" section, and time on the website. Key outcomes included exercise, healthy eating, and medication adherence as well as body mass index (BMI) and biological variables related to cardiovascular disease risk. Results: Of the 270 intervention participants, the average age was 60, the average BMI was 34.9 kg/m(2), 130 (48%) were female, and 62 (23%) self-reported Latino ethnicity. The number of participant visits to the website over 4 months ranged from 1 to 119 (mean 28 visits, median 18). Usage decreased from 70% of participants visiting at least weekly during the first 6 weeks to 47% during weeks 7 to 16. There were no significant differences between website only and website plus support conditions on most of the engagement variables. In total, 75% of participants entered self-monitoring data at least once per week. Exercise action plan pages were visited more often than medication taking and healthy eating pages (mean of 4.3 visits vs 2.8 and 2.0 respectively, P<.001). Spearman nonparametric correlations indicated few significant associations between patient characteristics and summary website engagement variables, and key factors such as ethnicity, baseline computer use, age, health literacy, and education were not related to use. Partial correlations indicated that engagement, especially in self-monitoring, was most consistently related to improvement in healthy eating (r = .20, P = .04) and reduction of dietary fat (r = -.31, P = .001). There was also a significant correlation between self-monitoring and improvement in exercise (r = .20, P = .033) but not with medication taking. Conclusions: Participants visited the website fairly often and used all of the theoretically important sections, but engagement decreased over 4 months. Usage rates and patterns were similar for a wide range of participants, which has encouraging implications for the potential reach of online interventions.
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    Fidelity to and comparative results across behavioral interventions evaluated through the RE-AIM framework: a systematic review
    Harden, Samantha M.; Gaglio, Bridget; Shoup, Jo A.; Kinney, Kimberlee A.; Johnson, Sallie B.; Brito, Fabiana A.; Blackman, Kacie C. A.; Zoellner, Jamie M.; Hill, Jennie L.; Almeida, Fabio A.; Glasgow, Russell E.; Estabrooks, Paul A. (2015-11-08)
    Background The reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) framework was developed to determine potential public health impact of interventions (i.e., programs, policy, and practice). The purpose of this systematic review was to determine (1) comparative results across accurately reported RE-AIM indicators, (2) relevant information when there remains under-reporting or misclassification of data across each dimension, (3) the degree to which authors intervened to improve outcomes related to each dimension, and (4) the number of articles reporting RE-AIM dimensions for a given study. Methods In April 2013, a systematic search of the RE-AIM framework was completed in PubMed, PSYCHInfo, EbscoHost, Web of Science, and Scopus. Evidence was analyzed until January 2015. Results Eighty-two interventions that included empirical data related to at least one of the RE-AIM dimensions were included in the review. Across these interventions, they reached a median sample size of 320 participants (M = 4894 ± 28,256). Summarizing the effectiveness indicators, we found that: the average participation rate was 45 % (±28 %), 89 % of the interventions reported positive changes in the primary outcome and 11 interventions reported broader outcomes (e.g., quality of life). As for individual-level maintenance, 11 % of studies showed effects ≥6 months post-program. Average setting and staff adoption rates were 75 % (±32 %) and 79 % (±28 %), respectively. Interventions reported being delivered as intended (82 % (±16 %)) and 22 % intervention reported adaptations to delivery. There were insufficient data to determine average maintenance at the organizational level. Data on costs associated with each dimension were infrequent and disparate: four studies reported costs of recruitment, two reported intervention costs per participant, and two reported adoption costs. Conclusions The RE-AIM framework has been employed in a variety of populations and settings for the planning, delivery, and evaluation of behavioral interventions. This review highlights inconsistencies in the degree to which authors reported each dimension in its entirety as well as inaccuracies in reporting indicators within each dimension. Further, there are few interventions that aim to improve outcomes related to reach, adoption, implementation, and maintenance.
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    An Interactive Computer Session to Initiate Physical Activity in Sedentary Cardiac Patients: Randomized Controlled Trial
    Almeida, Fabio A.; Smith-Ray, Renae L.; Dzewaltowski, David A.; Glasgow, Russell E.; Lee, Rebecca E.; Thomas, Deborah S. K.; Xu, Stanley; Estabrooks, Paul A. (2015-08)
    Background: Physical activity (PA) improves many facets of health. Despite this, the majority of American adults are insufficiently active. Adults who visit a physician complaining of chest pain and related cardiovascular symptoms are often referred for further testing. However, when this testing does not reveal an underlying disease or pathology, patients typically receive no additional standard care services. A PA intervention delivered within the clinic setting may be an effective strategy for improving the health of this population at a time when they may be motivated to take preventive action. Objective: Our aim was to determine the effectiveness of a tailored, computer-based, interactive personal action planning session to initiate PA among a group of sedentary cardiac patients following exercise treadmill testing (ETT). Methods: This study was part of a larger 2x2 randomized controlled trial to determine the impact of environmental and social-cognitive intervention approaches on the initiation and maintenance of weekly PA for patients post ETT. Participants who were referred to an ETT center but had a negative-test (ie, stress tests results indicated no apparent cardiac issues) were randomized to one of four treatment arms: (1) increased environmental accessibility to PA resources via the provision of a free voucher to a fitness facility in close proximity to their home or workplace (ENV), (2) a tailored social cognitive intervention (SC) using a "5 As"-based (ask, advise, assess, assist, and arrange) personal action planning tool, (3) combined intervention of both ENV and SC approaches (COMBO), or (4) a matched contact nutrition control (CON). Each intervention was delivered using a computer-based interactive session. A general linear model for repeated measures was conducted with change in PA behavior from baseline to 1-month post interactive computer session as the primary outcome. Results: Sedentary participants (n=452; 34.7% participation rate) without a gym membership (mean age 58.57 years; 59% female, 78% white, 12% black, 11% Hispanic) completed a baseline assessment and an interactive computer session. PA increased across the study sample (F-1,F-441= 30.03, P<.001). However, a time by condition interaction (F-3,F-441= 8.33, P<. 001) followed by post hoc analyses indicated that SC participants exhibited a significant increase in weekly PA participation (mean 45.1, SD 10.2) compared to CON (mean -2.5, SD 10.8, P=.004) and ENV (mean 8.3, SD 8.1, P<. 05). Additionally, COMBO participants exhibited a significant increase in weekly PA participation (mean 53.4, SD 8.9) compared to CON (P<.001) and ENV (P=.003) participants. There were no significant differences between ENV and CON or between SC and COMBO. Conclusions: A brief, computer-based, interactive personal action planning session may be an effective tool to initiate PA within a health care setting, in particular as part of the ETT system.
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    National Working Group on the RE-AIM Planning and Evaluation Framework: Goals, Resources, and Future Directions
    Harden, Samantha M.; Strayer, Thomas Edward, III; Smith, Matthew Lee; Gaglio, Bridget; Ory, Marcia G.; Rabin, Borsika A.; Estabrooks, Paul A.; Glasgow, Russell E. (2020-01-10)
    The National Working Group on RE-AIM Planning and Evaluation Framework (herein Workgroup) was established in 2004 to support the application of the framework and advance dissemination and implementation science (D&I). Workgroup members developed and disseminated products and resources (and continue to do so) to advocate for consistent application of RE-AIM and allow for cross study comparisons. The purpose of this paper is to summarize key Workgroup activities, products, and services (e.g., webinars, consultations, planning tools) and enhance bidirectional communication between the Workgroup and RE-AIM users. The ultimate goal of this work is to serve as a forum for dissemination to improve the balance between RE-AIM user demand (needs) and the currently limited RE-AIM Workgroup supply (consultation and resources) to demonstrate and expand the utility of RE-AIM as a D&I planning and evaluation framework. A summary of resources is provided as well as specific examples of how the Workgroup has been responsive to user needs.
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    RE-AIM in Clinical, Community, and Corporate Settings: Perspectives, Strategies, and Recommendations to Enhance Public Health Impact
    Harden, Samantha M.; Smith, Matthew Lee; Ory, Marcia G.; Smith-Ray, Renae L.; Estabrooks, Paul A.; Glasgow, Russell E. (Frontiers, 2018-03-22)
    The RE-AIM Framework is a planning and evaluation model that has been used in a variety of settings to address various programmatic, environmental, and policy innovations for improving population health. In addition to the broad application and diverse use of the framework, there are lessons learned and recommendations for the future use of the framework across clinical, community, and corporate settings. The purposes of this article are to: (A) provide a brief overview of the RE-AIM Framework and its pragmatic use for planning and evaluation; (B) offer recommendations to facilitate the application of RE-AIM in clinical, community, and corporate settings; and (C) share perspectives and lessons learned about employing RE-AIM dimensions in the planning, implementation, and evaluation phases within these different settings. In this article, we demonstrate how the RE-AIM concepts and elements within each dimension can be applied by researchers and practitioners in diverse settings, among diverse populations and for diverse health topics.
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    RE-AIM Planning and Evaluation Framework: Adapting to New Science and Practice With a 20-Year Review
    Glasgow, Russell E.; Harden, Samantha M.; Gaglio, Bridget; Rabin, Borsika A.; Smith, Matthew Lee; Porter, Gwenndolyn C.; Ory, Marcia G.; Estabrooks, Paul A. (Frontiers, 2019-03-29)
    The RE-AIM planning and evaluation framework was conceptualized two decades ago. As one of the most frequently applied implementation frameworks, RE-AIM has now been cited in over 2,800 publications. This paper describes the application and evolution of RE-AIM as well as lessons learned from its use. RE-AIM has been applied most often in public health and health behavior change research, but increasingly in more diverse content areas and within clinical, community, and corporate settings. We discuss challenges of using RE-AIM while encouraging a more pragmatic use of key dimensions rather than comprehensive applications of all elements. Current foci of RE-AIM include increasing the emphasis on cost and adaptations to programs and expanding the use of qualitative methods to understand “how” and “why” results came about. The framework will continue to evolve to focus on contextual and explanatory factors related to RE-AIM outcomes, package RE-AIM for use by non-researchers, and integrate RE-AIM with other pragmatic and reporting frameworks.
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    Understanding and applying the RE-AIM framework: Clarifications and resources
    Holtrop, Jodi Summers; Estabrooks, Paul A.; Gaglio, Bridget; Harden, Samantha M.; Kessler, Rodger S.; King, Diane K.; Kwan, Bethany M.; Ory, Marcia G.; Rabin, Borsika A.; Shelton, Rachel C.; Glasgow, Russell E. (2021-05-14)
    Introduction: Understanding, categorizing, and using implementation science theories, models, and frameworks is a complex undertaking. The issues involved are even more challenging given the large number of frameworks and that some of them evolve significantly over time. As a consequence, researchers and practitioners may be unintentionally mischaracterizing frameworks or basing actions and conclusions on outdated versions of a framework. Methods: This paper addresses how the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework has been described, summarizes how the model has evolved over time, and identifies and corrects several misconceptions. Results: We address 13 specific areas where misconceptions have been noted concerning the use of RE-AIM and summarize current guidance on these issues. We also discuss key changes to RE-AIM over the past 20 years, including the evolution to Pragmatic Robust Implementation and Sustainability Model, and provide resources for potential users to guide application of the framework. Conclusions: RE-AIM and many other theories and frameworks have evolved, been misunderstood, and sometimes been misapplied. To some degree, this is inevitable, but we conclude by suggesting some actions that reviewers, framework developers, and those selecting or applying frameworks can do to prevent or alleviate these problems.
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    Use of RE-AIM to develop a multi-media facilitation tool for the patient-centered medical home
    Glasgow, Russell E.; Dickinson, Perry; Fisher, Lawrence; Christiansen, Steve; Toobert, Deborah J.; Bender, Bruce G.; Dickinson, L. Miriam; Jortberg, Bonnie; Estabrooks, Paul A. (2011-10-21)
    Background Much has been written about how the medical home model can enhance patient-centeredness, care continuity, and follow-up, but few comprehensive aids or resources exist to help practices accomplish these aims. The complexity of primary care can overwhelm those concerned with quality improvement. Methods The RE-AIM planning and evaluation model was used to develop a multimedia, multiple-health behavior tool with psychosocial assessment and feedback features to facilitate and guide patient-centered communication, care, and follow-up related to prevention and self-management of the most common adult chronic illnesses seen in primary care. Results The Connection to Health Patient Self-Management System, a web-based patient assessment and support resource, was developed using the RE-AIM factors of reach (e.g., allowing input and output via choice of different modalities), effectiveness (e.g., using evidence-based intervention strategies), adoption (e.g., assistance in integrating the system into practice workflows and permitting customization of the website and feedback materials by practice teams), implementation (e.g., identifying and targeting actionable priority behavioral and psychosocial issues for patients and teams), and maintenance/sustainability (e.g., integration with current National Committee for Quality Assurance recommendations and clinical pathways of care). Connection to Health can work on a variety of input and output platforms, and assesses and provides feedback on multiple health behaviors and multiple chronic conditions frequently managed in adult primary care. As such, it should help to make patient-healthcare team encounters more informed and patient-centered. Formative research with clinicians indicated that the program addressed a number of practical concerns and they appreciated the flexibility and how the Connection to Health program could be customized to their office. Conclusions This primary care practice tool based on an implementation science model has the potential to guide patients to more healthful behaviors and improved self-management of chronic conditions, while fostering effective and efficient communication between patients and their healthcare team. RE-AIM and similar models can help clinicians and media developers create practical products more likely to be widely adopted, feasible in busy medical practices, and able to produce public health impact.
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    Who Participates in Internet-Based Worksite Weight Loss Programs?
    You, Wen; Almeida, Fabio A.; Zoellner, Jamie M.; Hill, Jennie L.; Pinard, Courtney A.; Allen, Kacie C.; Glasgow, Russell E.; Linnan, Laura A.; Estabrooks, Paul A. (2011-09-20)
    Background The reach and representativeness are seldom examined in worksite weight loss studies. This paper describes and illustrates a method for directly assessing the reach and representativeness of a internet-based worksite weight loss program. Methods A brief health survey (BHS) was administered, between January 2008 and November 2009, to employees at 19 worksites in Southwest Virginia. The BHS included demographic, behavioral, and health questions. All employees were blinded to the existence of a future weight loss program until the completion of the BHS. Results The BHS has a participation rate of 66 percent and the subsequent weight loss program has a participation rate of 30 percent. Employees from higher income households, with higher education levels and health literacy proficiency were significantly more likely to participate in the program (p's < .01). Conclusions Worksite weight loss programs should include targeted marketing strategies to engage employees with lower income, education, and health literacy.