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; Wall, Sarah S.; Yenerall, Jackie; Zoellner, Jamie; Estabrooks, Paul A.

doi:10.1002/oby.20899

Cited by 46 publications

(109 citation statements)

References 35 publications

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“…The specific behaviors targeted across the 11 diet, exercise, and weight loss interventions (see Table 3) differed substantially, with one study targeting both diet and exercise (Spring et al, 2012), three targeting the duration of engagement in physical activity (Finkelstein, Brown, Brown, & Buchner, 2008; Hunter, Tully, Davis, Stevenson, & Kee, 2013; Weinstock, Capizzi, Weber, Pescatello, & Petry, 2014), four (36%) targeting steps per day (Donlin-Washington et al, 2014; Kullgren et al, 2014; Kurti & Dallery, 2013; Petry, Andrade, Barry, & Byrne, 2013), and three (27%) targeting weight loss (Almeida et al, 2015; Kullgren et al, 2013; Leahey et al, 2015). Seven (64%) studies targeted sedentary adults with no additional vulnerabilities or medical conditions, three (27%) studies specifically targeted overweight and obese adults (Almeida et al, 2015; Kullgren et al, 2013; Leahey et al, 2015), and one (9%) study targeted sedentary, hazardous drinking college students (Weinstock et al, 2014).…”

Section: Resultsmentioning

confidence: 99%

A review of the literature on remote monitoring technology in incentive-based interventions for health-related behavior change.

Kurti

Davis

Redner

et al. 2016

Translational Issues in Psychological Science

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Use of technology (e.g., Internet, cell phones) to allow remote implementation of incentives interventions for health-related behavior change is growing. To our knowledge, there has yet to be a systematic review of this literature reported. The present report provides a systematic review of the controlled studies where technology was used to remotely implement financial incentive interventions targeting substance use and other health behaviors published between 2004 and 2015. For inclusion in the review, studies had to use technology to remotely accomplish one of the following two aims alone or in combination: (a) monitor the target behavior, or (b) deliver incentives for achieving the target goal. Studies also had to examine financial incentives (e.g., cash, vouchers) for health-related behavior change, be published in peer-reviewed journals, and include a research design that allowed evaluation of the efficacy of the incentive intervention relative to another condition (e.g., non-contingent incentives, treatment as usual). Of the 39 reports that met inclusion criteria, 18 targeted substance use, 10 targeted medication adherence or home-based health monitoring, and 11 targeted diet, exercise, or weight loss. All 39 (100%) studies used technology to facilitate remote monitoring of the target behavior, and 26 (66.7%) studies also incorporated technology in the remote delivery of incentives. Statistically significant intervention effects were reported in 71% of studies reviewed. Overall, the results offer substantial support for the efficacy of remotely implemented incentive interventions for health-related behavior change, which have the potential to increase the cost-effectiveness and reach of this treatment approach.

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Section: Resultsmentioning

confidence: 99%

A review of the literature on remote monitoring technology in incentive-based interventions for health-related behavior change.

Kurti

Davis

Redner

et al. 2016

Translational Issues in Psychological Science

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“…This study was part of an ongoing integrated research-practice partnership intended to improve weight loss interventions through externally validated research methods, while also providing practical information for program development and impact in worksite and community settings. [12][13][14][15][16][17][18][19][20] The goal of integrated research-practice partnerships is to concurrently work towards moving the scientific field forward through ecologically valid research and improving practice through more rigorous evaluation. This partnership included scientific partners with expertise in translational obesity research and practice partners from incentaHEALTH™-the WAW delivery organization-and from Kaiser Permanente Colorado Community Benefit and Relations.…”

Section: Methodsmentioning

confidence: 99%

“…19 Incentives were provided based on a minimum of 5% of initial body weight loss ($15 per quarter) and up to 30% reduction ($150 per quarter). The intervention encouraged increased intake of fruit, vegetables, lean protein, and complex carbohydrates while monitoring portion sizes.…”

Section: Interventionmentioning

confidence: 99%

“…1699 (19) 279 (16) 1330 (19) 474 (17) 85 (18) 357 (17) 1225 (19) 194 (15) 973 ( (48) 1336 (49) 250 (51) 1039 (49) 3044 (48) 666 (53) †…”

Section: (34)unclassified

“…1227 (19) 274 (23) 1297 (26) 316 (17) 59 (19) 237 (16) 911 (20) 142 (16) 724 (20) N (%) dropped after goal 2764 (423) 543 (45) 2046 (41) 825 (44. 4) 135 (43) 658 (45) 1939 (42) 425 (47) 1463 (41) Values in bolded rows used as denominator for subsequently reported proportions within the column in the respective table section.…”

Section: (36)mentioning

confidence: 99%

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A Quasi-Experiment to Assess the Impact of a Scalable, Community-Based Weight Loss Program: Combining Reach, Effectiveness, and Cost

et al. 2017

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BACKGROUND: Primary care addresses obesity through physician oversight of intensive lifestyle interventions or referral to external programs with demonstrated efficacy. However, limited information exists on community program reach, effectiveness, and costs across different groups of participants. OBJECTIVE: To evaluate a scalable, community weight loss program using reach, effectiveness, and cost metrics. DESIGN: Longitudinal pre-post quasi-experiment without control. PARTICIPANTS: Enrolled participants in Weigh and Win (WAW), a community-based weight loss program. INTERVENTION: A 12-month program with daily social cognitive theory-based email and/or text support, online access to health coaches, objective weight assessment through 83 community-based kiosks, and modest financial incentives to increase program reach. MAIN MEASURES: Number of participants, representativeness, weight loss achievement (3%, 5% of initial weight lost), and cost of implementation. KEY RESULTS: A total of 40,308 adults (79% women; 73% white; BMI = 32.3 ± 7.44, age = 43.9 ± 13.1 years) enrolled in WAW. Women were more likely than men to enroll in the program and continue engagement beyond an initial weigh-in (57% vs. 53%). Based on census data, African Americans were over-represented in the sample. Among participants who engaged in the program beyond an initial weigh-in (n = 19,029), 47% and 34% of participants lost 3% and 5% of their initial body weight, respectively. The average duration for those who achieved 5% weight loss was 1.7 ± 1.3 years. African American participants were more likely to achieve 5% weight loss and remain enrolled in the program longer compared to nonAfrican American participants (2.0 ± 1.3 vs. 1.6 ± 1.2 years). Implementation costs were $2,822,698. Cost per clinically meaningful weight loss for African Americans ($257.97/3% loss; $335.96/5% loss) was lower than that for Hispanics ($318.62; $431.10) and Caucasians ($313.65; $441.87), due to the higher success rate of that subgroup of participants. CONCLUSIONS: Weigh and Win is a scalable technologysupported and community-based weight loss program that reaches a large number of participants and may contribute to reducing health disparities.

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Evaluating the implementation of user embracement in the healthcare system of Jaboatão dos Guararapes city, Brazil

Barros

Diniz

Brito

et al. 2022

Health Planning & Management

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Background The advent of the Family Health Strategy required healthcare teams to strengthen bonding and accountability towards users. In this sense, humanisation has been the key to a successful care provision and to the acceptance of interventions that can meet demands. Our study aimed to evaluate the implementation of user embracement in Family Health Units of Jaboatão dos Guararapes, Pernambuco, Brazil. Methods The studied population belonged to 48 Family Health teams. Eighty‐five healthcare workers with higher education answered the questionnaire, and the registration forms of 272 users were examined, from which sociodemographic information was gathered. These data were analysed according to the degree of vulnerability. Questionnaire results were collected and tabulated using the HCMaps software. Dimensions were analysed through a Likert‐type grading scale ranging from 1 to 5. This is an evaluative, cross‐sectional study with a quantitative approach, considering the dimensions proposed in the RE‐AIM framework. Results User embracement was considered unsatisfactory, as were Reach and Adoption. The Effectiveness, Implementation, and Maintenance dimensions yielded satisfactory results. The main ones were the perception of user embracement as a screening process, and the delimitation of open slots and/or schedules. Conclusions The study shows that user embracement has been effective in strengthening bonds, reducing queues, and solving demands. However, the potential user embracement sustainability and implementation have been hampered by factors related to the Adoption of the intervention.

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Effectiveness of a worksite‐based weight loss randomized controlled trial: The worksite study

Cited by 46 publications

References 35 publications

A review of the literature on remote monitoring technology in incentive-based interventions for health-related behavior change.

A review of the literature on remote monitoring technology in incentive-based interventions for health-related behavior change.

A Quasi-Experiment to Assess the Impact of a Scalable, Community-Based Weight Loss Program: Combining Reach, Effectiveness, and Cost

Evaluating the implementation of user embracement in the healthcare system of Jaboatão dos Guararapes city, Brazil

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