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BACKGROUND: This study aimed to evaluate individual characteristics associated with participation and effectiveness of a worksite health promotion program with motivational interviewing targeting health and health behaviour among Dutch workers in low socioeconomic position. METHODS: In a production company and a hospital, 838 workers were invited for a Preventive Medical Examination and subsequent coaching with motivational interviewing up to 7 sessions within 6 months. Follow-up information was collected after 6 months. Characteristics associated with participation in coaching were assessed with logistic regression models. The effectiveness of coaching on body mass index (BMI), bodyweight, self-rated health, vigorous physical activity, smoking, alcohol intake, fruit- and vegetable consumption, work ability, and sickness absence was evaluated with linear regression models and on participation in health promotion activities with logistic regression analysis. The analyses on effectiveness were performed without and with propensity score adjustment. RESULTS: Of the 838 invited workers, 313 workers participated in the Preventive Medical Examination and follow-up data were available for 176 workers, of whom 100 workers with increased cardiovascular risk attended coaching. The majority of workers with obesity (73%), overweight (60%), and unhealthy behaviours (58%-69%) at baseline participated in motivational interviewing. Males, workers with overweight or obesity, workers at the production company, workers with insufficient vigorous physical activity, and workers with a low educational level were most likely to participate in coaching. Coaching with motivational interviewing after the Preventive Medical Examination was associated with a 4.74 times higher likelihood [95% confidence interval (CI): 1.99;11.32] to participate in health promotion activities and 10.9% (95%CI: 0.6;21.3) more persons who quit smoking compared to workers without coaching. No statistically significant effects were observed on BMI, bodyweight, health, health behaviour, work ability and sickness absence. CONCLUSIONS: The program combining a Preventive Medical Examination with follow-up coaching reached - as intended - workers with obesity or overweight, those with a low education and with unhealthy behaviours. Adding coaching with motivational interviewing to a Preventive Medical Examination contributed to higher participation in health promotion activities and an increase in smoking cessation after 6 months among workers with a lower socioeconomic position, but was not effective on other outcomes. TRIAL REGISTRATION: The study was registered retrospectively in the Netherlands Trial Register as NL8178 on 22/11/2019.
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Entrevista Motivacional , Masculino , Humanos , Sobrepeso/prevención & control , Estudios Retrospectivos , Promoción de la Salud , Lugar de Trabajo , Peso Corporal , ObesidadRESUMEN
BACKGROUND: Healthcare workers need to be at work 24 h a day to ensure continuity of care in hospitals. However, shift work - particularly night shifts - can have negative acute and long-term effects on health and productivity due to disturbances in the circadian rhythm. Shift work is also associated with unhealthy lifestyle behaviors such as poor sleep hygiene and diet. The PerfectFit@Night intervention aims to improve sleep and recovery, and reduce fatigue, and therewith contribute to sustainable employability of healthcare workers. The current study describes the intervention and the evaluation and implementation. METHODS: The study population will consist of healthcare workers, nurses and physicians, with night shifts in a large Dutch academic hospital. The intervention consists of individual and environmental intervention elements: i) an e-learning for healthcare workers to increase knowledge and awareness on a healthy lifestyle during night shifts, ii) a powernap bed to take powernaps during night shifts, iii) the availability of healthy food at the department during night shifts, iv) a workshop on healthy rostering at the level of the department, and v) individual sleep coaching among the high risk group. In a longitudinal prospective study, data will be collected 1 month before the start of the intervention, in the week before the start of the intervention, and three and 6 months after the start of the intervention. The primary outcomes are sleep, fatigue, and need for recovery. The implementation process will be evaluated using the framework of Steckler and Linnan. Cost-benefit analyses from the employers perspective will be conducted to understand the possible financial consequences or benefits of the implementation of PerfectFit@Night. DISCUSSION: The feasibility and effectiveness of this workplace health promotion program will be investigated by means of an effect, process and economic evaluation. If proven effective, PerfectFit@Night can be implemented on a larger scale within the healthcare sector. TRIAL REGISTRATION: Netherlands Trial Register trial number NL9224 . Registered 17 January 2021.
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Sector de Atención de Salud , Lugar de Trabajo , Ritmo Circadiano , Fatiga/prevención & control , Promoción de la Salud , Humanos , Estudios Prospectivos , Sueño , Tolerancia al Trabajo ProgramadoRESUMEN
BACKGROUND: Web-based lifestyle interventions at the workplace have the potential to promote health and work productivity. However, the sustainability of effects is often small, which could be enhanced by adding face-to-face contacts, so-called 'blended care'. Therefore, this study evaluates the effects of a blended workplace health promotion intervention on health and work outcomes among employees with increased cardiovascular risk. METHODS: In this multicentre cluster-randomised controlled trial (PerfectFit), 491 workers in 18 work units from military, police, and a hospital with increased cardiovascular risk were randomised into two intervention groups. The limited intervention (n = 213; 9 clusters) consisted of a web-based Health Risk Assessment with advice. In the extensive intervention (n = 271; 8 clusters), coaching sessions by occupational health physicians using motivational interviewing were added. One cluster dropped out after randomisation but before any inclusion of subjects. Primary outcome was self-rated health. Secondary outcomes were body weight, body mass index (BMI), work productivity, and health behaviours. Follow-up measurements were collected at 6 and 12 months. Effect sizes were determined in mixed effects models. RESULTS: At 12 months, the extensive intervention was not statistically different from the limited intervention for self-rated health (4.3%; 95%CI -5.3-12.8), BMI (- 0.81; 95%CI -1.87-0.26) and body weight (- 2.16; 95%CI -5.49-1.17). The within-group analysis showed that in the extensive intervention group body weight (- 3.1 kg; 95% CI -2.0 to - 4.3) was statistically significantly reduced, whereas body weight remained stable in the limited intervention group (+ 0.2 kg; 95% CI -1.4 to 1.8). In both randomised groups productivity loss and physical activity increased and excessive alcohol use decreased significantly at 12 months. CONCLUSIONS: There were no effects on self-rated health, body weight, and BMI. However, within the group with web-based tailored Health Risk Assessment including personalized advice body weight reduced significantly. Adding motivational coaching is promising to reduce body weight. TRIAL REGISTRATION: Retrospectively registered at the Netherlands Trial Registry with number NTR4894 , at Nov 14 2014.
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Enfermedades Cardiovasculares/prevención & control , Internet , Estilo de Vida , Entrevista Motivacional , Salud Laboral , Femenino , Humanos , Masculino , Persona de Mediana Edad , Países Bajos , Evaluación de Programas y Proyectos de Salud , Medición de Riesgo , Pérdida de PesoRESUMEN
BACKGROUND: The prevalence of unhealthy lifestyles and preventable chronic diseases is high. They lead to disabilities and sickness absence, which might be reduced if health promotion measures were applied. Therefore, we developed the PerfectFit health promotion intervention with a "blended care"-approach, which consists of a web-based health risk assessment (HRA) including tailored and personalized advice, followed by motivational interviewing (MI). We hypothesize that adding MI to a web-based HRA leads to better health outcomes. The objective is to describe the design and baseline characteristics of the PerfectFit study, which is being conducted among employees with high cardiovascular risk in the military workforce, the police organization and an academic hospital. METHODS: PerfectFit is a cluster randomized controlled trial, consisting of two arms. Based on cardiovascular risk profiling, done between 2012 and 2014, we included employees based on one or more risk factors and motivation to participate. One arm is the 'limited' health program (control) that consists of: (a) an HRA as a decision aid for lifestyle changes, including tailored and personalized advice, and pros and cons of the options, and (b) a newsletter every 3 months. The other arm is the 'extensive' program (intervention), which is additionally offered MI-sessions by trained occupational physicians, 4 face-to-face and 3 by telephone, and is offered more choices of health promotion activities in the HRA. During the follow-up period, participants choose the health promotion activities they personally prefer. After six and twelve months, outcomes will be assessed by online questionnaires. After twelve months the cardiovascular risk profiling will be repeated. The primary outcome is self-reported general health. Secondary outcomes are self-reported work ability, CVD-risk score, sickness absence, productivity loss at work, participation in health promotion activities, changes in lifestyle (smoking, alcohol consumption, physical activity, stress management) and body mass index. Furthermore, a process evaluation and an economic analysis will be performed. DISCUSSION: Additional coaching using MI is expected to be a key factor for success of the web-based HRA in employees with increased cardiovascular risk. This "blended care"-approach may be an essential strategy for effective health promotion activities. TRIAL REGISTRATION: Dutch Trial Register by registration number NTR4894 , 14/11/2014.
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Enfermedades Cardiovasculares/prevención & control , Promoción de la Salud/métodos , Estilo de Vida , Entrevista Motivacional/métodos , Servicios de Salud del Trabajador/organización & administración , Adulto , Consejo/métodos , Femenino , Conductas Relacionadas con la Salud , Humanos , Internet , Masculino , Persona de Mediana Edad , Motivación , Factores de Riesgo , Encuestas y CuestionariosRESUMEN
OBJECTIVES: The aim of the current study is to gain insight into the factors that benefit vitality and resilience of healthcare workers during the COVID-19 pandemic, to develop and direct specific support strategies. DESIGN, SETTING AND PARTICIPANTS: This study applies a qualitative design, consisting of six focus groups and five interviews among 38 frontline healthcare workers in a large Dutch academic hospital. Included were professionals of the intensive care unit, COVID-19 departments, infection prevention units and facility management services. The study was conducted in October and November 2020, during the second wave of the COVID-19 pandemic. DATA ANALYSIS: Thematic analysis was applied to focus group and interview data to gain insight into the factors that contribute to maintaining vitality and resilience, and to assess specific support needs. RESULTS: Data analysis of the focus groups and individual interviews resulted in a thematic map of the factors that contribute to maintaining resilience and vitality. The map stretches over two axes: one ranging from a healthy basis to adequate professional functioning and the other from individual to organisation, resulting in four quadrants: recharge and recover (healthy basis, individual), safety and connectedness at work (healthy basis, organisational), collaboration (professional functioning, organisational) and professional identity (professional functioning, individual). CONCLUSION: Areas for organisational support strategies to increase vitality and resilience among healthcare professionals are: consistent communication, realistic job performance expectations, monitor and improve mental resilience, showing appreciation and act upon practical support requests.
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COVID-19 , Atención a la Salud , Personal de Salud , Hospitales , Humanos , Países Bajos/epidemiología , Pandemias/prevención & control , SARS-CoV-2RESUMEN
Objectives This study aims to evaluate the effectiveness of a "blended" workplace health-promotion intervention, alongside identification of key components beneficial for future implementation strategies. Methods Within a cluster randomized controlled trial, 491 employees at increased risk of cardiovascular disease were allocated to the limited (N=217; 9 clusters) or extensive (N=274; 8 clusters) intervention. The extensive intervention consisted of motivational interviewing (MI) within the framework of a web-based health risk assessment (HRA), a blended care approach. The limited intervention received solely the web-based HRA. Occupational health physicians (N=21) within three organizations delivered the intervention. Implementation components investigated included: HRA (reach and participation), newsletters (percentage read), and MI sessions (number and quality). MI quality was determined by scoring audiotaped MI sessions, using the MI treatment integrity code. After 6 and 12 months, effects on participation in health-promotion activities and its associations with components of implementation were determined by mixed-effects models. Results Over 80% of employees participated in health-promotion activities, with an additional 8% in the extensive compared to the limited group. In the extensive intervention, those with more or better quality MI sessions were more likely to participate in health-promotion activities. Increased MI quality was associated with sustained participation. Conclusions This study suggests that participation in health-promotion activities can be increased by adding MI to a web-based approach and improving the quality of the MI delivered. Interventions with MI should include optimized delivery and quality of MI sessions.
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Promoción de la Salud/estadística & datos numéricos , Entrevista Motivacional/normas , Salud Laboral , Selección de Paciente , Enfermedades Cardiovasculares/prevención & control , Femenino , Humanos , Internet , Masculino , Persona de Mediana Edad , Médicos , Medición de Riesgo , Factores de Riesgo , Lugar de TrabajoRESUMEN
BACKGROUND: Addressing the obesity epidemic requires the development of effective interventions aimed at increasing physical activity (PA). eHealth interventions with the use of accelerometers and gaming elements, such as rewarding or social bonding, seem promising. These eHealth elements, blended with face-to-face contacts, have the potential to help people adopt and maintain a physically active lifestyle. OBJECTIVE: The aim of this study was to assess the influence and usage of a blended Web-based gaming intervention on PA, body mass index (BMI), and waist circumference among overweight and obese employees. METHODS: In an uncontrolled before-after study, we observed 52 health care employees with BMI more than 25 kg/m2, who were recruited via the company's intranet and who voluntarily participated in a 23-week Web-based gaming intervention, supplemented (blended) with non-eHealth components. These non-eHealth components were an individual session with an occupational health physician involving motivational interviewing and 5 multidisciplinary group sessions. The game was played by teams in 5 time periods, aiming to gain points by being physically active, as measured by an accelerometer. Data were collected in 2014 and 2015. Primary outcome was PA, defined as length of time at MET (metabolic equivalent task) ≥3, as measured by the accelerometer during the game. Secondary outcomes were reductions in BMI and waist circumference, measured at baseline and 10 and 23 weeks after the start of the program. Gaming elements such as "compliance" with the game (ie, days of accelerometer wear), "engagement" with the game (ie, frequency of reaching a personal monthly target), and "eHealth teams" (ie, social influence of eHealth teams) were measured as potential determinants of the outcomes. Linear mixed models were used to evaluate the effects on all outcome measures. RESULTS: The mean age of participants was 48.1 years; most participants were female (42/51, 82%). The mean PA was 86 minutes per day, ranging from 6.5 to 223 minutes, which was on average 26.2 minutes per day more than self-reported PA at baseline and remained fairly constant during the game. Mean BMI was reduced by 1.87 kg/m2 (5.6%) and waist circumference by 5.6 cm (4.8%). The univariable model showed that compliance, engagement, and eHealth team were significantly associated with more PA, which remained significant for eHealth team in the multivariable model. CONCLUSIONS: This blended Web-based gaming intervention was beneficial for overweight workers in becoming physically active above the recommended activity levels during the entire intervention period, and a favorable influence on BMI and waist circumference was observed. Promising components in the intervention, and thus targets for upscaling, are eHealth teams and engagement with the game. Broader implementation and long-term follow-up can provide insights into the sustainable effects on PA and weight loss and into who benefits the most from this approach.
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Unhealthy lifestyle behaviours are considered modifiable risk factors for many diseases. Lifestyle interventions that target these behaviours need rigorous evaluation to assess their effectiveness. The randomized controlled trial is the study design of choice when it comes to the evaluation of interventions. However, lifestyle interventions are often complex and subject to several important issues, such as patient preference and non-adherence, that may threaten the internal and external validity of studies. There is a strong demand for high-quality randomized controlled trials of interventions that promote healthy lifestyle behaviours. With this tutorial we aim to provide guidance in the choice of an optimal randomized controlled trial design in future trials of lifestyle interventions.