Effectiveness of employee internet-based weight management program

Feasibility and Effectiveness of a Worksite-Weight-Loss Program for Cancer Prevention among School-District Employees with Overweight and Obesity

The effects of Vibrant Lives, a 6-month worksite-weight-loss program, were examined in a cohort of school-district employees with overweight or obesity. The VL Basic (VLB) participants received materials and tailored text messages, the VL Plus (VLP) participants additionally received WIFI-enabled activity monitors and scales and participated in health challenges throughout the school year, and the VL Plus with Support (VLP + S) participants additionally received coaching support. The levels of program satisfaction and retention and changes in weight, physical activity (PA), and diet were compared across groups using Pearson chi-square tests, repeated-measure mixed models, and logistic regression. After the program, the VLB (n = 131), VLP (n = 87), and VLP + S (n = 88) groups had average weight losses of 2.5, 2.5, and 3.4 kg, respectively, and average increases in weekly PA of 40.4, 35.8, and 65.7 min, respectively. The VLP + S participants were more likely than the other participants to have clinically significant weight loss (≥3%; p = 0.026). Compared with the VLB participants, the VLP participants were less likely to meet the recommendations for consuming fast food (p = 0.022) and sugar-sweetened beverages (p = 0.010). The VLP and VLP + S participants reported higher program satisfaction than the VLB participants. The VL program facilitates weight loss among school-district employees with overweight and obesity by increasing their PA and healthy diet.

Participation effects of workplace promoting activities on healthy eating behavior

Objective

The study intends to examine the effect of participating healthy eating related games or activities in workplace on changes of employee's self-reported behavioral stage for adopting healthy eating.

Study design

A quasi-experimental study.

Methods

A multi-strategic intervention for 8-month was designed and implemented in a main staff canteen area within a non-profit academic organization. The initial event included exhibition of custom-made dining plates filled with correct portions of food models for three caloric levels and provision of user-friendly online resources, which were followed by three promotion activities (long-term exhibition of my balanced plates, matching games for six food groups, and do-it-yourself healthy plate) in the 8 months.

Results

A total of 86 adult participants (males = 37, female = 49) who had completed pre- and post-surveys were included in the analysis. Participants who participated all three promotion activities presented greater advancement in stage of healthy eating behaviors (HEB) than those who did not participate any activity (β= 1.118, 95% CI = 0.428-1.808, P = 0.001 among male participants; β = 0.740, 95% CI = 0.145-1.336, P = 0.015 among all participants). Adjustment has been made for significantly-associated covariates including types of promotion activities, initial-HEB and gender.

Conclusions

A multi-strategic intervention providing balanced food plates and online resources followed by consecutive promotion activities are effective in advancing HEB for the workplace adults. Differential impacts of promotion activities and gender should also be considered for designing workplace interventions.

Weight Reduction Interventions Using Digital Health for Employees with Obesity: A Systematic Review

PURPOSE

This study aimed to systematically review the literature on randomized controlled trials on weight reduction interventions using digital health for employees with obesity.

METHODS

All relevant articles published until September 2021 were systematically identified from six electronic databases: MEDLINE, EMBASE, CINAHL, PsycINFO, RISS, and KISS. Data selection and extraction were independently performed by three researchers. Methodological quality was assessed using the JBI Critical Appraisal Checklist for Randomized Controlled Trials. The results were narratively synthesized.

RESULTS

Eleven studies were included in the systematic review. All studies had a low risk of bias. The settings and sample sizes of the included studies were different. The contents of the interventions included nutrition, physical activity, behavioral change, incentives, and motivation. Four studies were based on social cognitive theory. A total of ten studies delivered web-based intervention, while the other used tele-monitoring device. A wide range of intervention strategies was used including providing online resources, tele-counseling, and patient-tailored advice. As a result of the intervention, a total of seven studies showed a significant weight reduction in both the intervention and comparison groups, with significant differences between groups.

CONCLUSION

Until now, use of digital health in weight reduction interventions for employees with obesity has been conducted on a web-based. Various contents such as nutrition, physical activity and theories were explored. Further study is required using more diverse delivery methods such as mobile application, use of wearable devices.

Promoting Occupational Health through Gamification and E-Coaching: A 5-Month User Engagement Study

Social gamification systems have shown potential for promoting healthy lifestyles, but applying them to occupational settings faces unique design challenges. While occupational settings offer natural communities for social interaction, fairness issues due to heterogeneous personal goals and privacy concerns increase the difficulty of designing engaging games. We explored a two-level game-design, where the first level related to achieving personal goals and the second level was a privacy-protected social competition to maximize goal compliance among colleagues. The solution was strengthened by employing occupational physicians who personalized users' goals and coached them remotely. The design was evaluated in a 5-month study with 53 employees from a Dutch university. Results suggested that the application helped half of the participants to improve their lifestyles, and most appreciated the role of the physician in goal-setting. However, long-term user engagement was undermined by the scalability-motivated design choice of one-way communication between employees and their physician. Implications for social gamification design in occupational health are discussed.

Just-in-the-Moment Adaptive Interventions (JITAI): A Meta-Analytical Review

A just-in-time, adaptive intervention (JITAI) is an emerging type of intervention that provides tailored support at the exact time of need. It does so using enabling new technologies (e.g., mobile phones, sensors) that capture the changing states of individuals. Extracting effect sizes of primary outcomes produced by 33 empirical studies that used JITAIs, we found moderate to large effect sizes of JITAI treatments compared to (1) waitlist-control conditions (k = 9), Hedges's g = 1.65 and (2) non-JITAI treatments (k = 21), g = 0.89. Also, participants of JITAI interventions showed significant changes (k = 13) in the positive direction (g = 0.79). A series of sensitivity tests suggested that those effects persist. Those effects also persist despite differences in the behaviors of interests (e.g., blood glucose control, recovering alcoholics), duration of the treatments, and participants' age. Two aspects of tailoring, namely: (1) tailoring to what (i.e., both people's previous behavioral patterns and their current need states; with these effects additive) and (2) approach to tailoring (i.e., both using a human agent and an algorithm to decide tailored feedback; with these effects additive), are significantly associated with greater JITAI efficacy.

Factors Influencing Acceptance of Personal Health Record Apps for Workplace Health Promotion: Cross-Sectional Questionnaire Study

Background

Health care technologies can help improve workers’ health and productivity by supporting workplace health promotion. A personal health record app is used to manage medical data such as results from medical checkups, which facilitates decision making for medical personnel. However, an analysis of users’ technology acceptance is required to provide appropriate services based on personal health record apps.

Objective

The purpose of this study was to analyze the factors influencing the behavioral intention of health experts and workers to use an app in workers’ health centers and to examine differences in their perception of the main variables.

Methods

The study involved health experts and workers who visited 21 workers’ health centers in Korea to verify a research model in which perceived risk was added to the unified theory of acceptance and use of technology, a representative theory of information technology acceptance. After receiving ethical approval from the Korea National Institute for Bioethics Policy, 1050 questionnaires were distributed over 7 weeks with cooperation of the Korea Occupational Safety and Health Agency. A multiple linear regression analysis and multigroup path analysis were performed to verify the hypotheses, and independent samples t tests were performed to analyze differences between workers’ and health experts’ perception of the main variables.

Results

The analysis included data from 866 respondents (687 workers and 179 health experts). Effort expectancy (beta=.08, P=.03), social influence (beta=.43, P<.001), performance expectancy (beta=.07, P=.008), and facilitating conditions (beta=.13, P<.001) exerted significant positive effects on behavioral intention, whereas perceived risk (beta=–.29, P<.001) exerted a significant negative effect on behavioral intention. Performance expectancy had a significant effect on path differences depending on gender (critical ratio=–3.38) and age (critical ratio=1.97). Workers’ mean scores for the main variables were higher relative to those of health experts for all remaining variables except perceived risk, and significant differences were observed for all remaining variables except facilitating condition.

Conclusions

Social influence exerted the strongest effect on behavioral intention to use the personal health record app. Consequently, it is necessary to coordinate health promotion activities in the workplace as well as the operational direction of community institutions such as in workers’ health centers to allow workers to manage their own health via continuous use of the app. In addition, the app should be developed based on a requirement analysis of the balance between both interest groups in consideration of differences in perspective between consumers and service providers.

Impact of a Web-Based Exercise and Nutritional Education Intervention in Patients Who Are Obese With Hypertension: Randomized Wait-List Controlled Trial

Background

Internet-based interventions are a promising strategy for promoting healthy lifestyle behaviors. These have a tremendous potential for delivering electronic health interventions in scalable and cost-effective ways. There is strong evidence that the use of these programs can lead to weight loss and can lower patients’ average blood pressure (BP) levels. So far, few studies have investigated the effects of internet-based programs on patients who are obese with hypertension (HTN).

Objective

The aim of this study is to investigate the short- and long-term efficacy, in terms of body composition and BP parameters, of a self-administered internet-based intervention involving different modules and learning techniques aimed at promoting lifestyle changes (both physical activity and healthy eating) in patients who are obese with HTN.

Methods

A randomized wait-list controlled trial design was used. We recruited 105 adults with HTN who were overweight or obese and randomly assigned them to either a 3-month internet-based intervention group (n=55) or the wait-list control group (n=50). We assessed BMI (primary outcome), body fat mass (BFM), systolic (S)BP and diastolic (D)BP, blood glucose and insulin levels, physical activity levels, and functional capacity for aerobic exercise at Time 0 (preintervention) and Time 1 (postintervention). All the patients in the wait-list control group subsequently received the intervention, and a secondary within-group analysis, which also included these participants, was conducted at Time 2 (12-month follow-up).

Results

A 2-way mixed analysis of covariance showed a significant decrease in BMI, BFM, and blood glucose at 3 months in the internet-based intervention group; the effect size for the BMI and BFM parameters was moderate to large, and there was also a borderline significant trend for DBP and insulin. These results were either maintained or improved upon at Time 2 and showed significant changes for BMI (mean difference −0.4, 95% CI −0.1 to −0.6; P=.005), BFM (mean difference −2.4, 95% CI −1.1 to −3.6; P<.001), DBP (mean difference −1.8, 95% CI −0.2 to −3.3; P=.03), and blood glucose (mean difference −2, 95% CI 0 to −4; P=.04).

Conclusions

Implementation of our self-administered internet-based intervention, which involved different learning techniques aimed to promote lifestyle changes, resulted in positive short- and long-term health benefits in patients who are obese with HTN.

Trial Registration

ClinicalTrials.gov NCT03396302; https://clinicaltrials.gov/ct2/show/NCT03396302

Strategies to improve the implementation of workplace-based policies or practices targeting tobacco, alcohol, diet, physical activity and obesity

BACKGROUND

Given the substantial period of time adults spend in their workplaces each day, these provide an opportune setting for interventions addressing modifiable behavioural risk factors for chronic disease. Previous reviews of trials of workplace-based interventions suggest they can be effective in modifying a range of risk factors including diet, physical activity, obesity, risky alcohol use and tobacco use. However, such interventions are often poorly implemented in workplaces, limiting their impact on employee health. Identifying strategies that are effective in improving the implementation of workplace-based interventions has the potential to improve their effects on health outcomes.

OBJECTIVES

To assess the effects of strategies for improving the implementation of workplace-based policies or practices targeting diet, physical activity, obesity, tobacco use and alcohol use.Secondary objectives were to assess the impact of such strategies on employee health behaviours, including dietary intake, physical activity, weight status, and alcohol and tobacco use; evaluate their cost-effectiveness; and identify any unintended adverse effects of implementation strategies on workplaces or workplace staff.

SEARCH METHODS

We searched the following electronic databases on 31 August 2017: CENTRAL; MEDLINE; MEDLINE In Process; the Campbell Library; PsycINFO; Education Resource Information Center (ERIC); Cumulative Index to Nursing and Allied Health Literature (CINAHL); and Scopus. We also handsearched all publications between August 2012 and September 2017 in two speciality journals: Implementation Science and Journal of Translational Behavioral Medicine. We conducted searches up to September 2017 in Dissertations and Theses, the WHO International Clinical Trials Registry Platform, and the US National Institutes of Health Registry. We screened the reference lists of included trials and contacted authors to identify other potentially relevant trials. We also consulted experts in the field to identify other relevant research.

SELECTION CRITERIA

Implementation strategies were defined as strategies specifically employed to improve the implementation of health interventions into routine practice within specific settings. We included any trial with a parallel control group (randomised or non-randomised) and conducted at any scale that compared strategies to support implementation of workplace policies or practices targeting diet, physical activity, obesity, risky alcohol use or tobacco use versus no intervention (i.e. wait-list, usual practice or minimal support control) or another implementation strategy. Implementation strategies could include those identified by the Effective Practice and Organisation of Care (EPOC) taxonomy such as quality improvement initiatives and education and training, as well as other strategies. Implementation interventions could target policies or practices directly instituted in the workplace environment, as well as workplace-instituted efforts encouraging the use of external health promotion services (e.g. gym membership subsidies).

DATA COLLECTION AND ANALYSIS

Review authors working in pairs independently performed citation screening, data extraction and 'Risk of bias' assessment, resolving disagreements via consensus or a third reviewer. We narratively synthesised findings for all included trials by first describing trial characteristics, participants, interventions and outcomes. We then described the effect size of the outcome measure for policy or practice implementation. We performed meta-analysis of implementation outcomes for trials of comparable design and outcome.

MAIN RESULTS

We included six trials, four of which took place in the USA. Four trials employed randomised controlled trial (RCT) designs. Trials were conducted in workplaces from the manufacturing, industrial and services-based sectors. The sample sizes of workplaces ranged from 12 to 114. Workplace policies and practices targeted included: healthy catering policies; point-of-purchase nutrition labelling; environmental supports for healthy eating and physical activity; tobacco control policies; weight management programmes; and adherence to guidelines for staff health promotion. All implementation interventions utilised multiple implementation strategies, the most common of which were educational meetings, tailored interventions and local consensus processes. Four trials compared an implementation strategy intervention with a no intervention control, one trial compared different implementation interventions, and one three-arm trial compared two implementation strategies with each other and a control. Four trials reported a single implementation outcome, whilst the other two reported multiple outcomes. Investigators assessed outcomes using surveys, audits and environmental observations. We judged most trials to be at high risk of performance and detection bias and at unclear risk of reporting and attrition bias.Of the five trials comparing implementation strategies with a no intervention control, pooled analysis was possible for three RCTs reporting continuous score-based measures of implementation outcomes. The meta-analysis found no difference in standardised effects (standardised mean difference (SMD) -0.01, 95% CI -0.32 to 0.30; 164 participants; 3 studies; low certainty evidence), suggesting no benefit of implementation support in improving policy or practice implementation, relative to control. Findings for other continuous or dichotomous implementation outcomes reported across these five trials were mixed. For the two non-randomised trials examining comparative effectiveness, both reported improvements in implementation, favouring the more intensive implementation group (very low certainty evidence). Three trials examined the impact of implementation strategies on employee health behaviours, reporting mixed effects for diet and weight status (very low certainty evidence) and no effect for physical activity (very low certainty evidence) or tobacco use (low certainty evidence). One trial reported an increase in absolute workplace costs for health promotion in the implementation group (low certainty evidence). None of the included trials assessed adverse consequences. Limitations of the review included the small number of trials identified and the lack of consistent terminology applied in the implementation science field, which may have resulted in us overlooking potentially relevant trials in the search.

AUTHORS' CONCLUSIONS

Available evidence regarding the effectiveness of implementation strategies for improving implementation of health-promoting policies and practices in the workplace setting is sparse and inconsistent. Low certainty evidence suggests that such strategies may make little or no difference on measures of implementation fidelity or different employee health behaviour outcomes. It is also unclear if such strategies are cost-effective or have potential unintended adverse consequences. The limited number of trials identified suggests implementation research in the workplace setting is in its infancy, warranting further research to guide evidence translation in this setting.

Users, Uses, and Effects of Social Media in Dietetic Practice: Scoping Review of the Quantitative and Qualitative Evidence

BACKGROUND

Social media platforms are increasingly used by registered dietitians (RDs) to improve knowledge translation and exchange in nutrition. However, a thorough understanding of social media in dietetic practice is lacking.

OBJECTIVE

The objective of this study was to map and summarize the evidence about the users, uses, and effects of social media in dietetic practice to identify gaps in the literature and inform future research by using a scoping review methodology.

METHODS

Stages for conducting the scoping review included the following: (1) identifying the research question; (2) identifying relevant studies through a comprehensive multidatabase and gray literature search strategy; (3) selecting eligible studies; (4) charting the data; and (5) collating, summarizing, and reporting results for dissemination. Finally, knowledge users (RDs working for dietetic professional associations and public health organizations) were involved in each review stage to generate practical findings.

RESULTS

Of the 47 included studies, 34 were intervention studies, 4 were descriptive studies, 2 were content analysis studies, and 7 were expert opinion papers in dietetic practice. Discussion forums were the most frequent social media platform evaluated (n=19), followed by blogs (n=13) and social networking sites (n=10). Most studies targeted overweight and obese or healthy users, with adult populations being most studied. Social media platforms were used to deliver content as part of larger multiple component interventions for weight management. Among intervention studies using a control group with no exposition to social media, we identified positive, neutral, and mixed effects of social media for outcomes related to users' health behaviors and status (eg, dietary intakes and body weight), participation rates, and professional knowledge. Factors associated with the characteristics of the specific social media, such as ease of use, a design for quick access to desired information, and concurrent reminders of use, were perceived as the main facilitators to the use of social media in dietetic practice, followed to a lesser extent by interactions with an RD and social support from fellow users. Barriers to social media use were mostly related to complicated access to the site and time issues.

CONCLUSIONS

Research on social media in dietetic practice is at its infancy, but it is growing fast. So far, this field of research has targeted few social media platforms, most of which were assessed in multiple-component interventions for weight management among overweight or obese adults. Trials isolating the effects and mechanisms of action of specific social media platforms are needed to draw conclusions regarding the effectiveness of those tools to support dietetic practice. Future studies should address barriers and facilitators related to the use of social media written by RDs and should explore how to make these tools useful for RDs to reach health consumers to improve health through diet.

The impact of digital health interventions on health-related outcomes in the workplace: A systematic review

BACKGROUND

The impact of employee health on productivity in the workplace is generally evidenced through absenteeism and presenteeism. Multicomponent worksite health programmes, with significant online elements, have gained in popularity over the last two decades, due in part to their scalability and low cost of implementation. However, little is known about the impact of digital-only interventions on health-related outcomes in employee groups. The aim of this systematic review was to assess the impact of pure digital health interventions in the workplace on health-related outcomes.

METHODS

Multiple databases, including MEDLINE, EMBASE, PubMed and PsycINFO, were used to review the literature using PRISMA guidelines.

RESULTS

Of 1345 records screened, 22 randomized controlled trial studies were found to be eligible. Although there was a high level of heterogeneity across these studies, significant improvements were found for a broad range of outcomes such as sleep, mental health, sedentary behaviours and physical activity levels. Standardized measures were not always used to quantify intervention impact. All but one study resulted in at least one significantly improved health-related outcome, but attrition rates ranged widely, suggesting sustaining engagement was an issue. Risk of bias assessment was low for one-third of the studies and unclear for the remaining ones.

CONCLUSIONS

This review found modest evidence that digital-only interventions have a positive impact on health-related outcomes in the workplace. High heterogeneity impacted the ability to confirm what interventions might work best for which health outcomes, although less complex health outcomes appeared to be more likely to be impacted. A focus on engagement along with the use of standardized measures and reporting of active intervention components would be helpful in future evaluations.

Evaluation of a Digital Behavioral Counseling Program for Reducing Risk Factors for Chronic Disease in a Workforce

OBJECTIVE

To evaluate a digitally delivered, intensive behavioral counseling program for a workforce at risk for obesity-related chronic disease.

METHODS

Employees were offered a digital health program modeled after the diabetes prevention program (DPP). Annual workforce health assessments were used to examine changes in chronic disease risk factors between participants (n = 634) relative to a matched comparison group (n = 1268).

RESULTS

Overall, employees were gaining an average of 3.5 pounds annually before program inception. Program engagement was positive; 83% completed the majority of the curriculum and 31% lost at least 5% of their starting weight. Compared with non-participating peers, participants demonstrated reduced weight, improved fasting blood glucose, and improved nutritional intake after a year.

CONCLUSIONS

The digital health program was effective for engaging employees in health behavior change. Digital options facilitate widespread implementation.

Effect of a Nine-Month Web- and App-Based Workplace Intervention to Promote Healthy Lifestyle and Weight Loss for Employees in the Social Welfare and Health Care Sector: A Randomized Controlled Trial

BACKGROUND

General health promoting campaigns are often not targeted at the people who need them the most. Web- and app-based tools are a new way to reach, motivate, and help people with poor health status.

OBJECTIVE

The aim of our study was to test a Web- and mobile app-based tool ("SoSu-life") on employees in the social welfare and health care sector in Denmark.

METHODS

A randomized controlled trial was carried out as a workplace intervention. The tool was designed to help users make healthy lifestyle changes such as losing weight, exercise more, and quit smoking. A team competition between the participating workplaces took place during the first 16 weeks of the intervention. Twenty nursing homes for elderly people in 6 municipalities in Denmark participated in the study. The employees at the nursing homes were randomized either 1:1 or 2:1 on a municipality level to use the SoSu-life tool or to serve as a control group with no intervention. All participants underwent baseline measurements including body weight, waist circumference, body fat percentage, blood pressure, and blood cholesterol level and they filled in a questionnaire covering various aspects of health. The participants were measured again after 16 and 38 weeks.

RESULTS

A total of 566 (SoSu-life: n=355, control: n=211) participants were included in the study. At 16 weeks there were 369 participants still in the study (SoSu-life: n=227, control: n=142) and 269 participants completed the 38 week intervention (SoSu-life: n=152, control: n=117). At 38 weeks, the SoSu-life group had a larger decrease in body weight (-1.01 kg, P=.03), body fat percentage (-0.8%, P=.03), and waist circumference (-1.8 cm, P=.007) compared with the control group.

CONCLUSIONS

The SoSu-life Web- and app-based tool had a modest yet beneficial effect on body weight and body fat percentage in the health care sector staff.

TRIAL REGISTRATION

Clinicaltrials.gov NCT02438059; http://clinicaltrials.gov/ct2/show/NCT02438059 (Archived by WebCite at http://www.webcitation.org/6i6y4p2AS).

Health changing conversations: clinicians' experience of health coaching in the East of England

The changing nature of healthcare and the challenge of long-term conditions require a paradigm shift in the mindset and behaviours of professionals. Central to this is the quality of clinician-patient communication, which determines how responsibility is shared. Health coaching training for clinicians provides them with new mindsets, communication skills and behaviour change techniques that transform the clinician--patient relationship and enables patients to become more active participants in their care. This training improves patient experience and health behaviours, provides self-management support and can reduce demand and costs. This article describes the East of England health coaching training programme and provides an overview of the evidence, required competencies and challenges clinicians experience when putting health coaching into practice. It illustrates that health coaching is a mechanism to deliver person-centred care. More must be done to provide clinicians with these much-needed skills especially in the management of long-term conditions.

The Impact of Information Technology on Patient Engagement and Health Behavior Change: A Systematic Review of the Literature

Background

Advancements in information technology (IT) and its increasingly ubiquitous nature expand the ability to engage patients in the health care process and motivate health behavior change.

Objective

Our aim was to systematically review the (1) impact of IT platforms used to promote patients’ engagement and to effect change in health behaviors and health outcomes, (2) behavior theories or models applied as bases for developing these interventions and their impact on health outcomes, (3) different ways of measuring health outcomes, (4) usability, feasibility, and acceptability of these technologies among patients, and (5) challenges and research directions for implementing IT platforms to meaningfully impact patient engagement and health outcomes.

Methods

PubMed, Web of Science, PsycINFO, and Google Scholar were searched for studies published from 2000 to December 2014. Two reviewers assessed the quality of the included papers, and potentially relevant studies were retrieved and assessed for eligibility based on predetermined inclusion criteria.

Results

A total of 170 articles met the inclusion criteria and were reviewed in detail. Overall, 88.8% (151/170) of studies showed positive impact on patient behavior and 82.9% (141/170) reported high levels of improvement in patient engagement. Only 47.1% (80/170) referenced specific behavior theories and only 33.5% (57/170) assessed the usability of IT platforms. The majority of studies used indirect ways to measure health outcomes (65.9%, 112/170).

Conclusions

In general, the review has shown that IT platforms can enhance patient engagement and improve health outcomes. Few studies addressed usability of these interventions, and the reason for not using specific behavior theories remains unclear. Further research is needed to clarify these important questions. In addition, an assessment of these types of interventions should be conducted based on a common framework using a large variety of measurements; these measurements should include those related to motivation for health behavior change, long-standing adherence, expenditure, satisfaction, and health outcomes.

A systematic review of internet-based worksite wellness approaches for cardiovascular disease risk management: outcomes, challenges & opportunities

Context

The internet is gaining popularity as a means of delivering employee-based cardiovascular (CV) wellness interventions though little is known about the cardiovascular health outcomes of these programs. In this review, we examined the effectiveness of internet-based employee cardiovascular wellness and prevention programs.

Evidence Acquisition

We conducted a systematic review by searching PubMed, Web of Science and Cochrane library for all published studies on internet-based programs aimed at improving CV health among employees up to November 2012. We grouped the outcomes according to the American Heart Association (AHA) indicators of cardiovascular wellbeing – weight, BP, lipids, smoking, physical activity, diet, and blood glucose.

Evidence Synthesis

A total of 18 randomized trials and 11 follow-up studies met our inclusion/exclusion criteria. Follow-up duration ranged from 6 – 24 months. There were significant differences in intervention types and number of components in each intervention. Modest improvements were observed in more than half of the studies with weight related outcomes while no improvement was seen in virtually all the studies with physical activity outcome. In general, internet-based programs were more successful if the interventions also included some physical contact and environmental modification, and if they were targeted at specific disease entities such as hypertension. Only a few of the studies were conducted in persons at-risk for CVD, none in blue-collar workers or low-income earners.

Conclusion

Internet based programs hold promise for improving the cardiovascular wellness among employees however much work is required to fully understand its utility and long term impact especially in special/at-risk populations.

Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people

BACKGROUND

The World Health Organization (WHO) estimates that the number of obese or overweight individuals worldwide will increase to 1.5 billion by 2015. Chronic diseases associated with overweight or obesity include diabetes, heart disease, hypertension and stroke.

OBJECTIVES

To assess the effects of interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people.

SEARCH METHODS

We searched several electronic databases, including CENTRAL, MEDLINE, EMBASE, CINAHL, LILACS and PsycINFO, through 25 May 2011. We also searched clinical trials registries to identify studies. We scanned reference lists of included studies and relevant systematic reviews.

SELECTION CRITERIA

Studies were included if they were randomized controlled trials or quasi-randomized controlled trials that evaluated interactive computer-based weight loss or weight maintenance programs in adults with overweight or obesity. We excluded trials if the duration of the intervention was less than four weeks or the loss to follow-up was greater than 20% overall.

DATA COLLECTION AND ANALYSIS

Two authors independently extracted study data and assessed risk of bias. Where interventions, control conditions, outcomes and time frames were similar between studies, we combined study data using meta-analysis.

MAIN RESULTS

We included 14 weight loss studies with a total of 2537 participants, and four weight maintenance studies with a total of 1603 participants. Treatment duration was between four weeks and 30 months. At six months, computer-based interventions led to greater weight loss than minimal interventions (mean difference (MD) -1.5 kg; 95% confidence interval (CI) -2.1 to -0.9; two trials) but less weight loss than in-person treatment (MD 2.1 kg; 95% CI 0.8 to 3.4; one trial). At six months, computer-based interventions were superior to a minimal control intervention in limiting weight regain (MD -0.7 kg; 95% CI -1.2 to -0.2; two trials), but not superior to infrequent in-person treatment (MD 0.5 kg; 95% -0.5 to 1.6; two trials). We did not observe consistent differences in dietary or physical activity behaviors between intervention and control groups in either weight loss or weight maintenance trials. Three weight loss studies estimated the costs of computer-based interventions compared to usual care, however two of the studies were 11 and 28 years old, and recent advances in technology render these estimates unlikely to be applicable to current or future interventions, while the third study was conducted in active duty military personnel, and it is unclear whether the costs are relevant to other settings. One weight loss study reported the cost-effectiveness ratio for a weekly in-person weight loss intervention relative to a computer-based intervention as USD 7177 (EUR 5678) per life year gained (80% CI USD 3055 to USD 60,291 (EUR 2417 to EUR 47,702)). It is unclear whether this could be extrapolated to other studies. No data were identified on adverse events, morbidity, complications or health-related quality of life.

AUTHORS' CONCLUSIONS

Compared to no intervention or minimal interventions (pamphlets, usual care), interactive computer-based interventions are an effective intervention for weight loss and weight maintenance. Compared to in-person interventions, interactive computer-based interventions result in smaller weight losses and lower levels of weight maintenance. The amount of additional weight loss, however, is relatively small and of brief duration, making the clinical significance of these differences unclear.

Randomized controlled trial testing an internet physical activity intervention for sedentary adults

OBJECTIVE

Internet-based physical activity (PA) interventions have shown promise, although findings remain equivocal. We used formative research to enhance a previously demonstrated program (Step into Motion) with the goal of developing an Internet program poised for dissemination.

METHODS

We conducted focus groups to identify Internet features targeted to theoretical constructs (social cognitive theory) predictive of PA behavior and rated as "useful for increasing PA." We identified 5 theory-targeted Internet features as useful for increasing PA: (1) a PA tracking/logging calendar targeting self-monitoring and goal setting; (2) geographic mapping tools targeting perceived environment; (3) a discussion forum targeting social support; (4) exercise videos targeting observational learning; and (5) regular updates of peer PA progress targeting situation. We then tested the efficacy of the enhanced program (enhanced Internet, EI; N = 25) in relation to publicly available PA Websites (standard Internet, SI; N = 28) among 53 participants in a randomized controlled trial.

RESULTS

The EI arm increased PA in relation to the SI arm at 3 months (18.4 to 186.0 min/wk vs. 20.9 to 57.3 min/wk; p = .03) but between-groups differences were not observed at 6 months (176.8 vs. 133.5 min/wk; p = .44). EI participants maintained PA from 3 to 6 months (186.0 to 176.8 min/wk), and the SI group increased PA (57.3 to 133.5 min/wk).

CONCLUSION

The EI program was efficacious at improving PA levels in relation to publicly available Websites initially, but differences in PA levels were not maintained at 6 months. Future research should identify Internet features that promote long-term maintenance.

Prevention of weight gain following a worksite nutrition and exercise program: a randomized controlled trial

BACKGROUND

Many employers are now providing wellness programs to help employees make changes in diet and exercise behaviors. Improving health outcomes and reducing costs will depend on whether employees sustain lifestyle changes and maintain a healthy weight over time.

PURPOSE

To determine if a 9-month maintenance intervention immediately following a 10-week worksite exercise and nutrition program would prevent regain of the weight lost during the program.

DESIGN

RCT.

SETTING/PARTICIPANTS

In 2008, a total of 330 employees from 24 teams completed a 10-week exercise and nutrition program at a large hospital worksite and were randomized by team to maintenance or control (usual care) for 9 months.

INTERVENTION

Internet support with a website for goal-setting and self-monitoring of weight and exercise plus minimal personal support.

MAIN OUTCOME MEASURES

Weight loss, percentage weight loss, time spent in physical activity, and frequency of consumption of fruits/vegetables, fatty foods, and sugary foods at 1 year compared to baseline. One-year follow-up was completed in 2010, and data were analyzed in 2011.

RESULTS

At 1 year, 238 subjects (72%) completed follow-up assessments. Mean baseline BMI was 27.6 and did not differ between intervention and control. Compared to baseline, both groups lost weight during the 10-week program and maintained 65% of weight loss at 1 year (p<0.001). There was no difference in weight loss between groups at the end of the 10-week program (4.8 lbs vs 4.3 lbs, p=0.53 for group X time interaction) or end of maintenance at 1 year (3.4 lbs vs 2.5 lbs, p=0.40 for group X time interaction). All subjects had improvements in physical activity and nutrition (increased fruits/vegetables and decreased fat and sugar intake) at 1 year but did not differ by group.

CONCLUSIONS

An intensive 10-week team-based worksite exercise and nutrition program resulted in moderate weight loss and improvements in diet and exercise behaviors at 1 year, but an Internet-based maintenance program immediately following the 10-week program did not improve these outcomes.

TRIAL REGISTRATION

This study is registered at clinicaltrials.gov NCT00707577.

Workplace weight loss program: impact on quality of life

OBJECTIVE

To determine the effectiveness of a 12-week workplace intervention program (WIP) focused on weight loss and reduction of cardiovascular risk factors on health-related quality of life (HRQOL) and the effect of delivery method on outcomes.

METHODS

A retrospective analysis of data collected in a 12-week trial comparing in-person (IP) and Internet-based (IB) intervention to identify the impact on HRQOL by utilizing the Centers for Disease Control and Prevention HRQOL-14 questionnaire.

RESULTS

Repeated-measure analysis of variance indicated no significant intervention effect for HRQOL by group assignment. Within subjects, significant main effect was noted for improvement in Summative Index of unhealthy days, sleeplessness, and vitality days at weeks 12 and 26. At week 26, significant main effect was found for improved mentally unhealthy and depression days.

CONCLUSIONS

Improvement in HRQOL following a 12-week university-based WIP can occur independent of method of delivery (IP vs IB).

Evaluation of a telerehabilitation system for community-based rehabilitation

The use of web-based portals, while increasing in popularity in the fields of medicine and research, are rarely reported on in community-based rehabilitation programs. A program within the Pennsylvania Office of Vocational Rehabilitation's Hiram G. Andrews Center, the Cognitive Skills Enhancement Program (CSEP), sought to enhance organization of program and participant information and communication between part- and full-time employees, supervisors and consultants. A telerehabilitation system was developed consisting of (1) a web-based portal to support a variety of clinical activities, and (2) the Versatile Integrated System for Telerehabilitation (VISYTER) video-conferencing system to support the collaboration and delivery of rehabilitation services remotely. This descriptive evaluation examines the usability of the telerehabilitation system incorporating both the portal and VISYTER. Telerehabilitation system users include CSEP staff members from three geographical locations and employed by two institutions. The IBM After-Scenario Questionnaire (ASQ) and Post-Study System Usability Questionnaire (PSSUQ), the Telehealth Usability Questionnaire (TUQ), and two demographic surveys were administered to gather both objective and subjective information. Results showed generally high levels of usability. Users commented that the telerehabilitation system improved communication, increased access to information, improved speed of completing tasks, and had an appealing interface. Areas where users would like to see improvements, including ease of accessing/editing documents and searching for information, are discussed.

Short-term and long-term weight management results of a large employer-sponsored wellness program

OBJECTIVE

To evaluate the weight management results of Healthy Incentives, an employer-sponsored wellness program started in 2006 by King County, Washington.

METHODS

Changes in body mass index (BMI) and the percentages of those who lost 5% and 10% were compared for first-year participants, 5-year participants, and respondents to the Medical Expenditures Panel Survey (MEPS).

RESULTS

A total of 19,559 first-year participants lost weight on average, while the comparative MEPS sample gained weight, -0.80% versus 0.31% (P < 0.01). A total of 10,432 5-year participants also lost weight on average but not as much as during the first year, -0.47% versus -0.80% (P = 0.01). More obese first-year participants lost 5% of BMI than the MEPS sample, 28.5% versus 23.2% (P < 0.01). Thirty eight percent of obese 5-year participants lost 5%.

CONCLUSIONS

Healthy Incentives achieved significant weight management benefits for both first-year and 5-year participants.

Organizational- and employee-level recruitment into a worksite-based weight loss study

BACKGROUND

Based on national estimates, the majority of working adults are overweight or obese. Overweight and obesity are associated with diminished health, productivity, and increased medical costs for employers. Worksite-based weight loss interventions are desirable from both employee and employer perspectives.

PURPOSE

To investigate organizational- and employee-level participation in a group-randomized controlled worksite-based weight loss trial.

METHODS

Using a set of inclusion criteria and pre-established procedures, we recruited worksites (and overweight/obese employees from enrolled worksites) from the North Carolina Community College System to participate in a weight loss study. Recruitment results at the worksite (organization) and employee levels are described, along with an assessment of representativeness.

RESULTS

Eighty-one percent (48/59) of community colleges indicated initial interest in participating in the weight loss study, and of those, 17 colleges were enrolled. Few characteristics distinguished enrolled community colleges from unenrolled colleges in the overall system. Eligible employees (n = 1004) at participating colleges were enrolled in the weight loss study. On average, participants were aged 46.9 years (SD = 12.1 years), had a body mass index (BMI) of 33.6 kg/m(2) (SD = 7.9 kg/m(2)), 83.2% were White, 13.3% African American, 82.2% female, and 41.8% reported holding an advanced degree (master's or doctoral degree). Compared with the larger North Carolina Community College employee population, participants most often were women, but few other differences were observed.

LIMITATIONS

Employees with reduced computer access may have been less likely to participate, and limited data on unenrolled individuals or colleges were available.

CONCLUSIONS

Community colleges are willing partners for weight loss intervention studies, and overweight/obese employees were receptive to joining a weight loss study offered in the workplace. The results from this study are useful for planning future worksite-based weight loss interventions and research studies that achieve high participation rates at the employee and organizational levels.

Systematic review and evaluation of web-accessible tools for management of diabetes and related cardiovascular risk factors by patients and healthcare providers

Objective

To identify and evaluate the effectiveness, clinical usefulness, sustainability, and usability of web-compatible diabetes-related tools.

Data sources

Medline, EMBASE, CINAHL, Cochrane Central Register of Controlled Trials, world wide web.

Study selection

Studies were included if they described an electronic audiovisual tool used as a means to educate patients, care givers, or clinicians about diabetes management and assessed a psychological, behavioral, or clinical outcome.

Data extraction

Study abstraction and evaluation for clinical usefulness, sustainability, and usability were performed by two independent reviewers.

Results

Of 12616 citations and 1541 full-text articles reviewed, 57 studies met inclusion criteria. Forty studies used experimental designs (25 randomized controlled trials, one controlled clinical trial, 14 before–after studies), and 17 used observational designs. Methodological quality and ratings for clinical usefulness and sustainability were variable, and there was a high prevalence of usability errors. Tools showed moderate but inconsistent effects on a variety of psychological and clinical outcomes including HbA1c and weight. Meta-regression of adequately reported studies (12 studies, 2731 participants) demonstrated that, although the interventions studied resulted in positive outcomes, this was not moderated by clinical usefulness nor usability.

Limitation

This review is limited by the number of accessible tools, exclusion of tools for mobile devices, study quality, and the use of non-validated scales.

Conclusion

Few tools were identified that met our criteria for effectiveness, usefulness, sustainability, and usability. Priority areas include identifying strategies to minimize website attrition and enabling patients and clinicians to make informed decisions about website choice by encouraging reporting of website quality indicators.

Weight change in a commercial web-based weight loss program and its association with website use: cohort study

BACKGROUND

There is a paucity of information in the scientific literature on the effectiveness of commercial weight loss programs, including Web-based programs. The potential of Web-based weight loss programs has been acknowledged, but their ability to achieve significant weight loss has not been proven.

OBJECTIVE

The objectives were to evaluate the weight change achieved within a large cohort of individuals enrolled in a commercial Web-based weight loss program for 12 or 52 weeks and to describe participants' program use in relation to weight change.

METHOD

Participants enrolled in an Australian commercial Web-based weight loss program from August 15, 2007, through May 31, 2008. Self-reported weekly weight records were used to determine weight change after 12- and 52-week subscriptions. The primary analysis estimated weight change using generalized linear mixed models (GLMMs) for all participants who subscribed for 12 weeks and also for those who subscribed for 52 weeks. A sensitivity analysis was conducted using the last observation carried forward (LOCF) method. Website use (ie, the number of days participants logged on, made food or exercise entries to the Web-based diary, or posted to the discussion forum) was described from program enrollment to 12 and 52 weeks, and differences in website use by percentage weight change category were tested using Kruskal-Wallis test for equality of populations.

RESULTS

Participants (n = 9599) had a mean (standard deviation [SD]) age of 35.7 (9.5) years and were predominantly female (86% or 8279/9599) and obese (61% or 5866/9599). Results from the primary GLMM analysis including all enrollees found the mean percentage weight change was -6.2% among 12-week subscribers (n = 6943) and -6.9% among 52-week subscribers (n = 2656). Sensitivity analysis using LOCF revealed an average weight change of -3.0% and -3.5% after 12 and 52 weeks respectively. The use of all website features increased significantly (P < .01) as percentage weight change improved.

CONCLUSIONS

The weight loss achieved by 12- and 52-week subscribers of a commercial Web-based weight loss program is likely to be in the range of the primary and sensitivity analysis results. While this suggests that, on average, clinically important weight loss may be achieved, further research is required to evaluate the efficacy of this commercial Web-based weight loss program prospectively using objective measures. The potential association between greater website use and increased weight loss also requires further evaluation, as strategies to improve participants' use of Web-based program features may be required.

Workplace weight loss program; comparing live and internet methods

OBJECTIVE

To determine the effectiveness of the 12-week workplace intervention (WIP) on energy intake, weight, physical activity (PA) and cardiovascular disease (CVD) risk and the effect of delivery method on outcomes.

METHODS

A prospective clinical trial of a 12-week WIP comparing In-person and Internet-based delivery. All subjects received identical intervention with dietitian visits at baseline and weeks 6, 12 and 26. Subjects included overweight/obese academic health science center employees. Changes in weight, PA and CVD-risk were primary outcomes.

RESULTS

There was no significant treatment effect repeated-measure-ANOVA. Within subjects, significant main effects indicating improvement were noted at week-12 in weight, WC, body-fat, HRQOL and energy intake and at week-26 in weight, WC, body-fat, HRQOL, energy intake and systolic and diastolic BP.

CONCLUSIONS

Improvements in some outcomes following a 12-week WIP were independent of delivery method.

Online interventions for social marketing health behavior change campaigns: a meta-analysis of psychological architectures and adherence factors

Background

Researchers and practitioners have developed numerous online interventions that encourage people to reduce their drinking, increase their exercise, and better manage their weight. Motivations to develop eHealth interventions may be driven by the Internet’s reach, interactivity, cost-effectiveness, and studies that show online interventions work. However, when designing online interventions suitable for public campaigns, there are few evidence-based guidelines, taxonomies are difficult to apply, many studies lack impact data, and prior meta-analyses are not applicable to large-scale public campaigns targeting voluntary behavioral change.

Objectives

This meta-analysis assessed online intervention design features in order to inform the development of online campaigns, such as those employed by social marketers, that seek to encourage voluntary health behavior change. A further objective was to increase understanding of the relationships between intervention adherence, study adherence, and behavioral outcomes.

Methods

Drawing on systematic review methods, a combination of 84 query terms were used in 5 bibliographic databases with additional gray literature searches. This resulted in 1271 abstracts and papers; 31 met the inclusion criteria. In total, 29 papers describing 30 interventions were included in the primary meta-analysis, with the 2 additional studies qualifying for the adherence analysis. Using a random effects model, the first analysis estimated the overall effect size, including groupings by control conditions and time factors. The second analysis assessed the impacts of psychological design features that were coded with taxonomies from evidence-based behavioral medicine, persuasive technology, and other behavioral influence fields. These separate systems were integrated into a coding framework model called the communication-based influence components model. Finally, the third analysis assessed the relationships between intervention adherence and behavioral outcomes.

Results

The overall impact of online interventions across all studies was small but statistically significant (standardized mean difference effect size d = 0.19, 95% confidence interval [CI] = 0.11 - 0.28, P < .001, number of interventions k = 30). The largest impact with a moderate level of efficacy was exerted from online interventions when compared with waitlists and placebos (d = 0.28, 95% CI = 0.17 - 0.39, P < .001, k = 18), followed by comparison with lower-tech online interventions (d = 0.16, 95% CI = 0.00 - 0.32, P = .04, k = 8); no significant difference was found when compared with sophisticated print interventions (d = –0.11, 95% CI = –0.34 to 0.12, P = .35, k = 4), though online interventions offer a small effect with the advantage of lower costs and larger reach. Time proved to be a critical factor, with shorter interventions generally achieving larger impacts and greater adherence. For psychological design, most interventions drew from the transtheoretical approach and were goal orientated, deploying numerous influence components aimed at showing users the consequences of their behavior, assisting them in reaching goals, and providing normative pressure. Inconclusive results suggest a relationship between the number of influence components and intervention efficacy. Despite one contradictory correlation, the evidence suggests that study adherence, intervention adherence, and behavioral outcomes are correlated.

Conclusions

These findings demonstrate that online interventions have the capacity to influence voluntary behaviors, such as those routinely targeted by social marketing campaigns. Given the high reach and low cost of online technologies, the stage may be set for increased public health campaigns that blend interpersonal online systems with mass-media outreach. Such a combination of approaches could help individuals achieve personal goals that, at an individual level, help citizens improve the quality of their lives and at a state level, contribute to healthier societies.

Which intervention characteristics are related to more exposure to internet-delivered healthy lifestyle promotion interventions? A systematic review

BACKGROUND

The Internet has become a popular medium for the delivery of tailored healthy lifestyle promoting interventions. The actual reach of Internet-delivered interventions seems, however, lower than expected, and attrition from interventions is generally high. Characteristics of an intervention, such as personally tailored feedback and goal setting, are thought to be among the important factors related to of use of and exposure to interventions. However, there is no systematic overview of which characteristics of Internet-delivered interventions may be related to more exposure.

OBJECTIVE

The present study aims to identify (1) which potentially exposure-promoting methods and strategies are used in existing Internet interventions, (2) which objective outcome measures are used to measure exposure to Internet interventions, and (3) which potentially exposure-promoting methods and strategies are associated with better exposure.

METHODS

A systematic review of the literature was conducted based on the Cochrane guidelines. Papers published between 1995 and 2009 were searched in the PubMed, PsycINFO, and Web of Science databases. In total, 64 studies were included that reported objective exposure measures such as completion of an initial visit, number of log-ins, and time spent on the website. Information about intervention-related characteristics (ie, interactive behavior change strategies, interactive elements for fun, peer or counsel support, email/phone contact, and regular updates of the website) that could potentially contribute to better exposure and objective exposure outcomes were abstracted from the studies and qualitative systematic descriptive analyses were performed.

RESULTS

The results showed that a large variety of behavior change techniques and other exposure-promoting elements were used in the interventions and that these methods and strategies varied for the various lifestyle behaviors. Feedback, interactive elements, and email/phone contact were used most often. In addition, there was much variety and a lack of consistency in the exposure measures that were reported. Of all the categories of intervention characteristics that may be associated with better exposure, there were indications that peer and counselor support result in a longer website visit and that email/phone contact and updates of the website result in more log-ins.

CONCLUSIONS

Results of this qualitative systematic review indicate that of all intervention characteristics that could potentially enhance exposure, only peer support, counselor support, email/phone contact with visitors, and updates of the intervention website were related to better exposure. The diversity of intervention methods used and the inconsistency in the report of exposure measures prevented us from drawing firmer conclusions. More research is needed to identify whether other characteristics of Internet interventions are associated with greater exposure.

Dropout, nonusage attrition, and pretreatment predictors of nonusage attrition in a commercial Web-based weight loss program

BACKGROUND

An understanding of the factors that predict retention and website use are critical to the development of effective Web-based weight loss interventions. However, poor retention (dropout attrition) and website utilization (nonusage attrition) are major inhibitors to the effectiveness of Web-based programs.

OBJECTIVE

The study aimed to (1) describe the prevalence of dropout and nonusage attrition and (2) examine pretreatment predictors of nonusage attrition in a cohort of commercial Web-based weight loss program participants.

METHODS

Participants enrolled in the online program, The Biggest Loser Club, Australia, from August 15, 2007, to May 31, 2008. Only those who subscribed for 12 or 52 weeks were included in this study. All data were collected by the program proprietors, SP Health Co Pty Ltd (Sydney, Australia), and provided in "deidentified" form. Data collected included responses to a pretreatment survey (sociodemographic and behavioral characteristics), subscription history (date of enrollment and subscription end), and website use (log-ins, food and exercise diary entries, weigh-ins, and forum posts). Participants were classified as a member of the program at 12 or 52 weeks if they held an active subscription plan at that point in time. Participants were classified as nonusers at 12 or 52 weeks if they had stopped using all of the website features and had not returned. Predictors of nonusage attrition were explored using Cox proportional hazards regression analysis.

RESULTS

Of the 9599 eligible participants, 6943 (72%) subscribed to the program for 12 weeks, and 2656 (28%) subscribed for 52 weeks. Of all participants, 31% (2975/9599) were classified as overweight, 61% (5866/9599) were classified as obese, 86% (8279/9599) were female, and participants' mean (SD) age was 35.7 (9.5) years. The 12 week and 52 week subscribers' retention rates were 97% and 77% respectively. Of 12 week subscribers, 35% were classified as program "users" after 12 weeks, and 30% of 52 week subscribers were classified as "users" after 52 weeks. Significant predictors of nonusage attrition among 12 week subscribers included age (hazard ratio for 45 to 55 years of age = 0.83, 95% confidence interval [CI] 0.73 - 0.93, P = .001; hazard ratio for 55 to 65 years of age = 0.80, 95% CI 0.66 - 0.99, P = .04), exercise level (hazard ratio = 0.76, 95% CI 0.72 - 0.81, P < .001), emotional eating (hazard ratio = 1.11, 95% CI 1.04 - 1.18, P = .001), eating breakfast (hazard ratio = 0.88, 95% CI 0.82 - 0.95, P = .001), and skipping meals (hazard ratio = 1.12, 95% CI 1.04 -1.19, P = .001). For 52 week subscribers, eating breakfast (hazard ratio = 0.88, 95% CI 0.79 - 0.99, P = .04) and not drinking tea or coffee with sugar (hazard ratio = 1.23, 95% CI 1.11 - 1.37, P < .001) were the pretreatment characteristics that significantly decreased risk of nonusage attrition.

CONCLUSIONS

The findings demonstrate a high prevalence of nonusage attrition among a cohort of commercial Web-based weight loss program participants. Several sociodemographic and behavioral factors were shown to independently predict nonusage attrition.

Workplace Interventions to Reduce Obesity and Cardiometabolic Risk

The worksite is ideal for implementing interventions to reduce obesity and cardiometabolic risk factors. Although worksite health promotion is not new, employer-sponsored wellness programs have become more widespread due to the rising prevalence and high cost of obesity. Over the past two decades, employers and researchers focused efforts on individual-based programs to change employees' nutrition and exercise behaviors, but more recently, the worksite environment has been targeted. Overall, there is good evidence that individual-based worksite programs can produce modest weight loss, but the evidence for effects on other risk factors and on long-term health outcomes and costs is inconsistent. There is less evidence for the benefit of environmental-based interventions, and more data will be needed to establish conclusions about the benefits of these types of interventions. A major challenge for employers and researchers in the future will be to find the balance between effectiveness and economic viability of worksite wellness programs.

An observational study of an employer intervention for children's healthy weight behaviors

OBJECTIVE

This observational study was undertaken to assess whether changes in healthy weight behaviors could be advanced in a short-term intervention involving parents and children at IBM.

METHODS

IBM's Children's Health Rebate offered a cash incentive for parents to complete a 12-week program of self-selected activities in family food planning and meals, family physical activity, and sedentary time related to electronic entertainment ("screen time"). A preprogram/postprogram comparison of self-reported activities was used to assess behavior change.

RESULTS

A total of 22,265 (52.3%) employees elected to participate, 11,631 (52.2%) of whom completed all program requirements and earned a $150 cash rebate. Families completing the program reported significant changes in levels of physical activity, amount of entertainment screen time, and proportion of healthy meals. For example, family physical activity >3 times per week increased by 17.1 percentage points (from 23.2% to 40.3%), eating healthy dinners ≥ 5 days/week increased by 11.8 percentage points (from 74.9% to 86.7%), and entertainment screen time <1 hour/day increased by 8.3 percentage points for children (from 22.4% to 30.7%) and by 6.1 percentage points for adults (from 18.1% to 24.2%).

CONCLUSIONS

The results of this short-term observational study suggest that healthy weight behaviors in children, adolescents, and parents can be improved by using a Web-based intervention linked with a cash incentive. The results also show that employers can activate parents and support a role for employers in community-based strategies for obesity prevention in children. Experimental designs with biometric data would strengthen the suggestion of positive impact.

New directions in eHealth communication: opportunities and challenges

OBJECTIVE

This article reviews key communication issues involved in the design of effective and humane eHealth applications to help guide strategic development and implementation of health information technologies.

BACKGROUND

There is a communication revolution brewing in the delivery of health care and the promotion of health fueled by the growth of powerful new health information technologies.

CONCLUSION

The development, adoption, and implementation of a broad range of new eHealth applications (such as online health information websites, interactive electronic health records, health decision support programs, tailored health education programs, health care system portals, mobile health communication programs, and advanced telehealth applications) holds tremendous promise to increase consumer and provider access to relevant health information, enhance the quality of care, reduce health care errors, increase collaboration, and encourage the adoption of healthy behaviors.

PRACTICE IMPLICATIONS

With the growth of new and exciting health information technology opportunities, however, comes the daunting responsibility to design interoperable, easy to use, engaging, and accessible eHealth applications that communicate the right information needed to guide health care and health promotion for diverse audiences.

Session 3 (Joint with the British Dietetic Association): Management of obesity: Weight-loss interventions in the treatment of obesity

Treatments to induce weight loss for the obese patient centre on the achievement of negative energy balance. This objective can theoretically be attained by interventions designed to achieve a reduction in energy intake and/or an increase in energy expenditure. Such 'lifestyle interventions' usually comprise one or more of the following strategies: dietary modification; behaviour change; increases in physical activity. These interventions are advocated as first treatment steps in algorithms recommended by current clinical obesity guidelines. Medication and surgical treatments are potentially available to those unable to implement 'lifestyle interventions' effectively by achieving losses of between 5 kg and 10 kg. It is accepted that the minimum of 5% weight loss is required to achieve clinically-meaningful benefits. Dietary treatments differ widely. Successful weight loss is most often associated with quantification of energy intake rather than macronutrient composition. Most dietary intervention studies secure a weight loss of between 5 kg and 10 kg after intervention for 6 months, with gradual weight regain at 1 year where weight changes are 3-4 kg below the starting weight. Some dietary interventions when evaluated at 2 and 4 years post intervention report the effects of weight maintenance rather than weight loss. Specific anti-obesity medications are effective adjuncts to weight loss, in most cases doubling the weight loss of those given dietary advice only. Greater physical activity alone increases energy expenditure by insufficient amounts to facilitate clinically-important weight losses, but is useful for weight maintenance. Weight losses of between half and three-quarters of excess body weight are seen at 10 years post intervention with bariatric surgery, making this arguably the most effective weight-loss treatment.

Factors Associated with Incidental Sickness Absence among Employees in One Health Care System

Purpose.

Assess the association of taking incidental sickness absence with health risks and health status.

Design.

Observational.

Setting.

One Midwest health care system.

Subjects.

Individuals who were employed for 2 years (2006–2007) and had completed at least one health risk appraisal (HRA) in 2007 (N = 3790).

Measures.

Outcomes were any incidental sickness absence and absence duration in 2007 measured by an absence tracking system. Health risks and health status were estimated by HRAs. Program participation was captured using 7-year HRA data and 5-year wellness data.

Analysis.

Multivariate, binary logistic regression for the probability of taking any absence day among the overall population as well as four demographic subgroups; proportional odds model for the probability of taking more absence days.

Results.

Different patterns were observed in association with taking incidental sickness absence among age and gender subgroups. Among the overall population, three health risks (smoking overweight, and use of medication for relaxation) were positively associated with taking absence (at least p <. 05 for all three health risks). Participation in a wellness program for more years was also associated with a less likelihood of taking absence (odds ratio, .72; p = .002). Results from the proportional odds model were consistent with results from the binary logistic regression.

Conclusion.

Sickness absence is an important productivity concern of employers. Employers may implement early interventions to focus on preventable causes. Special interventions may target absence-causing risks such as smoking behavior and excess body weight. Study limitation includes a lack of measures for psychosocial work environment.

Health risk reduction programs in employer-sponsored health plans: Part I-efficacy

OBJECTIVE

We sought to determine whether workplace health risk reduction programs (HRRPs) using health risk assessments (HRAs), individually focused risk reduction, and financial incentives succeeded in improving employee health and reducing employer health benefit costs.

METHODS

We reviewed the proprietary HRA available to us and conducted a literature review to determine the efficacy of HRRPs using HRAs, individualized employee interventions, and financial incentives for employee participation.

RESULTS

There is some evidence that HRRPs in employer-sponsored programs improve measures of employee health, but the results of these studies are somewhat equivocal.

CONCLUSION

Employer-sponsored HRRPs may have some benefits, but problems in plan design and in the studies assessing their efficacy complicate drawing conclusions.

Periodic prompts and reminders in health promotion and health behavior interventions: systematic review

Background

Health behavior interventions using periodic prompts have utilized technology, such as the Internet, that allows messages to be sent to participants in cost-effective ways. To our knowledge, no comprehensive evidence review has been performed specifically to evaluate the effectiveness of communicating regular messages and to examine how characteristics of the prompts change the effectiveness of programs aimed at reminding people to adopt healthy behaviors, maintain those they already practice, and cease unhealthy behaviors.

Objective

A systematic literature review was performed to investigate the effectiveness of limited contact interventions targeting weight loss, physical activity, and/or diet that provided periodic prompts regarding behavior change for health promotion. The review sought to identify specific characteristics of these interventions that may be associated with superior results.

Methods

Electronic literature searches were performed between February and April, 2008. Articles were included if periodic prompts were used as an intervention or a component of an intervention, a behavioral or biological outcome measure was used, and an ongoing health promotion behavior was targeted. A rating system was applied to each study to provide a quantitative representation of the quality of the evidence provided by each article.

Results

There were 19 articles with a combined sample size of 15,655 that met the inclusion criteria, and 11 studies reported positive findings regarding the utility of periodic prompts. Several articles showed enhanced effectiveness when prompts were frequent and personal contact with a counselor was included. Long-term behavior change and health improvements were not examined by this review because of a lack of long-term follow-up in the literature.

Conclusions

In light of promising results of most studies, additional research on limited contact interventions targeting health behaviors including weight loss, physical activity, and/or diet is merited that utilizes rigorous methods including control groups; follow-up data collection; and testing of prompt frequencies, specific intervention components, or prompt characteristics. Future research would be especially valuable if it improves understanding of the most effective types of periodic prompts for fostering long-term behavior change in order to maximize use of this tool in limited contact health promotion programs. Specifically, various types of communication technology should be used and evaluated to expand and refine their use.

Addressing obesity in the workplace: the role of employers

CONTEXT

Employers have pursued many strategies over the years to control health care costs and improve care. Disappointed by efforts to manage costs through the use of insurance-related techniques (e.g., prior authorization, restricted provider networks), employers have also begun to try to manage health by addressing their employees' key lifestyle risks. Reducing obesity (along with tobacco use and inactivity) is a priority for employers seeking to lower the incidence and severity of chronic illness and the associated demand for health services.

METHODS

This article describes the employer's perspective on the cost impact of obesity, discusses current practices in employer-sponsored wellness and weight management programs, provides examples from U.S. companies illustrating key points of employers' leverage and opportunities, and suggests policy directions to support the expansion of employers' initiatives, especially for smaller employers.

FINDINGS

Researchers and policymakers often overlook the extensive efforts and considerable impact of employer-sponsored wellness and health improvement programs. Greater focus on opportunities in the workplace is merited, however, for the evidence base supporting the economic and health impacts of employer-sponsored health promotion and wellness is growing, although not as quickly as the experience base of large employers.

CONCLUSIONS

Public and private employers can serve their own economic interests by addressing obesity. Health care organizations, particularly hospitals, as well as public employers can be important role models. Policy development is needed to accelerate change, especially for smaller employers (those with fewer than 500 employees), which represent the majority of U.S. employers and are far less likely to offer health promotion programs.