41 research outputs found
Truck drivers' perceptions on wearable devices and health promotion:A qualitative study
Professional truck drivers, as other shift workers, have been identified as a high-risk group for various health conditions including cardiovascular disease, obesity, diabetes, sleep apnoea and stress. Mobile health technologies can potentially improve the health and wellbeing of people with a sedentary lifestyle such as truck drivers. Yet, only a few studies on health promotion interventions related to mobile health technologies for truck drivers have been conducted. We aimed to explore professional truck drivers views on health promotion delivered via mobile health technologies such as wearable devices.We conducted a phenomenological qualitative study, consisting of four semi-structured focus groups with 34 full-time professional truck drivers in the UK. The focus groups were audio-taped, transcribed verbatim and analysed using thematic content analysis. We discussed drivers perceptions of their health, lifestyle and work environment, and their past experience and expectations from mobile health technologies.The participants viewed their lifestyle as unhealthy and were aware of possible consequences. They expressed the need and wish to change their lifestyle, yet perceived it as an inherent, unavoidable outcome of their occupation. Current health improvement initiatives were not always aligned with their working conditions. The participants were generally willing to use mobile health technologies such as wearable devices, as a preventive measure to avoid prospect morbidity, particularly cardiovascular diseases. They were ambivalent about privacy and the risk of their employers monitoring their clinical data.Wearable devices may offer new possibilities for improving the health and wellbeing of truck drivers. Drivers were aware of their unhealthy lifestyle. They were interested in changing their lifestyle and health. Drivers raised concerns regarding being continuously monitored by their employer. Health improvement initiatives should be aligned with the unique working conditions of truck drivers. Future research is needed to examine the impact of wearable devices on improving the health and wellbeing of professional drivers
Underutilization of Statin Therapy for Secondary Prevention of Cardiovascular Disease Among Older Adults
Mass transfer, batch and continuous kinetics, in a luminous strain of Xanthomonas campestris
Second medical opinion: utilization rates and characteristics of seekers in a general population
Background: Second opinion (SO) is common in medical practice and can reduce unnecessary risks and costs. To date, there is no population-based estimation of how many people seek SOs and what the characteristics of second-opinion seekers are. Objectives: To estimate how many people seek SOs, and what the characteristics of second-opinion seekers are. Methods: We conducted both a medical records analysis (n=1,392,907) and a cross-sectional national telephone survey with a representative sample of the general Israeli population (n=848, response rate=62%). In the medical records analysis, we linked consultations with specialists at community secondary care and private consultations using claims data. We developed a time-sensitive algorithm that identified potential SO instances. In both methods, we predicted the characteristics of second-opinion seekers using multivariate logistic regressions. Results: The medical records analysis and the survey findings were highly consistent, and showed that about sixth (14.9% in the medical records vs. 17.2% in the survey) of a general population sought a SO, mostly from orthopedic surgeons. Women, native-born, and established immigrants, people living in central urban areas or close to central urban areas, people with chronic conditions, and those who perceived their health status as not very good, were more likely to seek SOs than others. Conclusions: A considerable amount of people sought a SO. Certain patient profiles tended to seek SOs more than others. Such utilization patterns are important to devise policy regarding SOs, due to their implications on expenditure, policy, clinical outcomes, and patient satisfaction