A process evaluation of a worksite vitality intervention among ageing hospital workers

<p>Abstract</p> <p>Background</p> <p>The process evaluation of the Vital@Work intervention was primary aimed at gaining insight into the context, dose delivered, fidelity, reach, dose received, and participants' attitude. Further, the differences between intervention locations were evaluated.</p> <p>Methods</p> <p>Eligible for this study were 730 workers, aged ≥ 45 years, from two academic hospitals. Workers randomised to the intervention group (n = 367) received a 6-months intervention consisting a Vitality Exercise Programme (VEP) combined with three visits to a Personal Vitality Coach (PVC), aimed at goal setting, feedback, and problem solving. The VEP consisted of a guided yoga session, a guided workout session, and aerobic exercising without direct face-to-face instruction, all once a week. Data were collected by means of a questionnaire after the intervention, attendance registration forms (i.e. attendance at guided VEP group sessions), and coaching registration forms (filled in by the PVCs).</p> <p>Results</p> <p>The dose delivered of the yoga and workout sessions were 72.3% and 96.3%. All PVC visits (100%) were offered. The reach for the yoga sessions, workout sessions and PVC visits was 70.6%, 63.8%, and 89.6%, respectively. When taken these three intervention components together, the reach was 52%. This differed between the two locations (59.2% versus 36.8%). The dose received was for the yoga 10.4 sessions/24 weeks and for the workout 11.1 sessions/24 weeks. The attendance rate, defined as the mean percentage of attended group sessions in relation to the total provided group sessions, for the yoga and workout sessions was 51.7% and 44.8%, respectively. For the yoga sessions this rate was different between the two locations (63.2% versus 46.5%). No differences were found between the locations regarding the workout sessions and PVC visits. Workers attended on average 2.7 PVC visits. Overall, workers were satisfied with the intervention components: 7.5 for yoga sessions, 7.8 for workout sessions, and 6.9 for PVC visits.</p> <p>Conclusions</p> <p>The implementation of the intervention was accomplished as planned with respect to the dose delivered. Based on the reach, most workers were willing to attend the guided group sessions and the PVC visits, although there were differences between the locations and between intervention components. Overall, workers were positive about the intervention.</p> <p>Trial registration</p> <p>Trial registration <a href="http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=1240">NTR1240</a></p

A systematic review of the cost-effectiveness of worksite physical activity and/or nutrition programs

Objective The aim of this study was to appraise and summarize the evidence on the cost-effectiveness of worksite physical activity and/or nutrition programs. Methods We searched EMBASE, MEDLINE, SportDiscus, PsycInfo, NIOSHTIC-2, NHSEED, HTA, and Econlit for studies published up to 14 January 2011. Additionally, we searched for articles by reviewing references, searching authors' databases, and contacting authors of included studies. Two researchers independently selected articles. Articles had to include a cost-effectiveness and/or cost-utility analysis comparing a worksite physical activity and/or nutrition program to usual care or an abridged version of the program. Data were extracted on study characteristics and results. Two researchers independently assessed the risk of bias using the Consensus on Health Economic Criteria list (CHEC-list). Results Ten studies (18 programs) were included. More than 50% of the studies fulfilled 11 (58%) of the 19 CHEC-list items. From various perspectives, worksite nutrition and worksite physical activity and nutrition programs (N=6) were more costly and more effective in reducing body weight than usual care. When only intervention costs were considered, most worksite nutrition (N=4/5) and worksite physical activity and nutrition programs (N=5/6) were more costly and more effective in reducing cholesterol level and cardiovascular disease risks, respectively. Conclusions The cost-effectiveness of more costly and more effective programs depends on the "willingness to pay" for their effects. It is unknown how much decision-makers are willing to pay for reductions in body weight, cholesterol level, and cardiovascular disease risks. Therefore, conclusions about the cost-effectiveness of worksite physical activity and/or nutrition programs cannot be made. There is substantial need for improvement of the methodological quality of studies and particular emphasis should be placed on the handling of uncertainty. This work is licensed under a Creative Commons Attribution 4.0 International License

Working on wellness (WOW): a worksite health promotion intervention programme

Background: Insufficient PA has been shown to cluster with other CVD risk factors including insufficient fruit and vegetable intake, overweight, increased serum cholesterol concentrations and elevated blood pressure. This paper describes the development of Working on Wellness (WOW), a worksite intervention program incorporating motivational interviewing by wellness specialists, targeting employees at risk. In addition, we describe the evaluation the effectiveness of the intervention among employees at increased risk for cardiovascular disease. Methods: The intervention mapping (IM) protocol was used in the planning and design of WOW. Focus group discussions and interviews with employees and managers identified the importance of addressing risk factors for CVD at the worksite. Based on the employees preference for individual counselling, and previous evidence of the effectiveness of this approach in the worksite setting, we decided to use motivational interviewing as part of the intervention strategy. Thus, as a cluster-randomised, controlled control trial, employees at increased risk for CVD (N = 928) will be assigned to a control or an intervention group, based on company random allocation. The sessions will include motivational interviewing techniques, comprised of two face-to-face and four telephonic sessions, with the primary aim to increase habitual levels of PA. Measures will take place at baseline, 6 and 12 months. Secondary outcomes include changes in nutritional habits, serum cholesterol and glucose concentrations, blood pressure and BMI. In addition, healthcare expenditure and absenteeism will be measured for the economic evaluation. Analysis of variance will be performed to determine whether there were significant changes in physical activity habits in the intervention and control groups at 6 and 12 months. Discussion: The formative work on which this intervention is based suggests that the strategy of targeting employees at increased risk for CVD is preferred. Importantly, this study extends the work of a previous, similar study, Health Under Construction, in a different setting. Finally, this study will allow an economic evaluation of the intervention that will be an important outcome for health care funders, who ultimately will be responsible for implementation of such an intervention. Trial registration: United States Clinical Trails Register NCT 01494207

Working conditions and health behavior as causes of educational inequalities in self-rated health: an inverse odds weighting approach

Objective Using a novel mediation method that presents unbiased results even in the presence of exposure– mediator interactions, this study estimated the extent to which working conditions and health behaviors contribute to educational inequalities in self-rated health in the workforce. Methods Respondents of the longitudinal Survey of Health, Ageing, and Retirement in Europe (SHARE) in 16 countries were selected, aged 50–64 years, in paid employment at baseline and with information on education and self-rated health (N=15 028). Education, health behaviors [including body mass index (BMI)] and working conditions were measured at baseline and self-rated health at baseline and two-year follow-up. Causal mediation analysis with inverse odds weighting was used to estimate the total effect of education on self-rated health, decomposed into a natural direct effect (NDE) and natural indirect effect (NIE). Results Lower educated workers were more likely to perceive their health as poor than higher educated workers [relative risk (RR) 1.48, 95% confidence interval (CI) 1.37–1.60]. They were also more likely to have unfavorable working conditions and unhealthy behaviors, except for alcohol consumption. When all working conditions were included, the remaining NDE was RR 1.30 (95% CI 1.15–1.44). When BMI and health behaviors were included, the remaining NDE was RR 1.40 (95% CI 1.27–1.54). Working conditions explained 38% and health behaviors and BMI explained 16% of educational inequalities in health. Including all mediators explained 64% of educational inequalities in self-rated health. Conclusions Working conditions and health behaviors explain over half of the educational inequalities in selfrated health. To reduce health inequalities, improving working conditions seems to be more important than introducing health promotion programs in the workforce

Overweight and obesity among Dutch workers: differences between occupational groups and sectors

Purpose: To describe the prevalence of overweight and obesity among different occupational groups and sectors in a representative sample of the Dutch working population, and to test whether these differences still exist after adjustment for socio-demographic variables. Methods: Cross-sectional data among 7,588 working adults were used. Univariate analyses of variance was performed to test differences in body mass index (BMI) values between occupational groups (n = 7) and sectors (n = 28). Adjusted analyses were carried out to examine the role of socio-demographic factors in the differences in overweight and obesity between occupational groups and sectors. Results: On average, the mean BMI was 24.3 kg/m2 with 31% being overweight and 6% being obese. Those working in trade, industrial, or transportation occupations as well as the legislators and senior managers had the highest BMI and a relatively high prevalence of overweight (36.7 and 35.5%, respectively) and obesity (6.9 and 7.5%, respectively). In contrast, those working in scientific and artistic professions had the most favorable BMI profile with 25.7% being overweight and 4.2% being obese. After adjusting for sex, age, and education, the proportion of variance changed from about 0.01 to 0.10 with age being the main contributor of the differences in overweight and obesity. Conclusions: BMI profile and prevalence of overweight and obesity differs between occupations and sectors. Despite the differences are explained partly by socio-demographic factors, based on a given distribution of age, sex, and education within each occupational group and sector, occupational group- and sector-specific strategies to prevent and reduce overweight are recommended. © 2009 Springer-Verlag

Physical activity among Dutch workers-differences between occupations

Objective.: This study describes the total physical activity and the contribution of work to total physical activity among Dutch workers. The study was conducted in the Netherlands in the years 2000-2002. Methods.: 2,417 respondents of a cross-sectional survey representing the Dutch adult working population were included. Physical activity was measured by the proportion meeting the current public health physical activity recommendations and by total physical activity (in minutes per week). Seven occupational groups and 28 sectors were distinguished. Unadjusted analyses were carried out using chi-square test and one-way analysis of variance. Results.: On average, 53.7% was sufficiently active according to the recommended levels. Work contributed for 30% to total physical activity. There were significant differences between the occupations and sectors in total physical activity levels as well as in the amount of work-related physical activity. Those in policy and higher executive functions were least active at work with work contributing for 19.5% to total physical activity, whereas those working in agricultural occupations were most active at work with work contributing for 55.1% to total physical activity. Conclusions.: Work is still an important source of total physical activity among workers. Based on the differences observed, branch-specific strategies to enhance work-related physical activity are recommended. © 2006 Elsevier Inc. All rights reserved