Workers In Healthcare Industry Research Articles

Associations Between Occupational and Leisure-Time Physical Activity With Employee Stress, Burnout and Well-Being Among Healthcare Industry Workers.

Examine the associations of occupational and leisure-time physical activity with job stress, burnout, and well-being among healthcare industry workers. Quantitative; cross-sectional. Healthcare Industry. US Amazon Mechanical Turk participants (n = 550) employed in the healthcare industry, worked 35 hours or more per week, had ≥ 1 supervisor and ≥ 1 co-worker, and were ≥ 18 years old. Self-reported measures of occupational physical activity (OPA) and leisure-time physical activity (LTPA), employee well-being, job stress, and burnout operationalized as exhaustion and disengagement. Associations between OPA and LTPA with employee well-being, job stress, exhaustion and disengagement were assessed with separate multiple linear regression models. OPA had positive significant associations with job stress (β = 0.10, P value = .003) and exhaustion (β = 0.21, P value < .0001). No significant associations were found between OPA with other psychological outcomes. A significant inverse association was found between LTPA and exhaustion (β = -0.04, P value = .007). In a sample of U.S. health care workers, and consistent with prior epidemiological studies, greater LTPA was associated with lower feelings of exhaustion. In contrast, health care workers with greater OPA reported higher perceptions of job stress and exhaustion. The findings underscore the need for more research aimed at understanding relationships between OPA and psychological health among healthcare workers.

Normative Hand Strength of Healthcare Industry Workers in Central Taiwan

Objectives: The purpose of this study is to establish the norms of hand grip strength in the healthcare industry in Taiwan and propose models to predict the strength of hand movement by regression with demographic and anthropometric factors. Methods: This is a cross-sectional study with a stratified convenience sample of workers in healthcare service industries in central Taiwan. Three hundred twenty-nine healthy subjects were recruited. Strength of different hand movement were tested three times in both hands and rests were given between tests. Results: Female strength of these hand movement was 59.1% to 73.0% that in males (p < 0.001). In general, the hand strength of male workers in the healthcare industry was less than that of male workers in the manufacturing industry (p < 0.001). In the prediction model, sex and weight played important roles in predicting hand strength. Conclusions: The norms of different types of hand strength was investigated the first time in workers in the healthcare industry in Taiwan. The tasks performed by healthcare personnel vary widely, and this variable should be considered in a future prediction model.

Occupational Health Hazards among Women Workers in Healthcare Industry: An Analysis

A healthy population is an asset for an economy, while the ill and aged is a burden. A healthy workforce is more productive as it can effort for a longer duration. When a worker is incapable of working due to serious health problems, such as disability, then he/she is also unable to assist the nation in raising the standard of living. The number of workers employed in the health care industry was identified in each category based on the number of units, and total workers have been chosen randomly. The study consists of 120 samples that were collected from various healthcare industrial women workers at Thoothukudi in Tamilnadu. The Frequency Table, Cross Tabulation, and the Chi-Square test used to analyze the data.The current world scenario shows how healthcare workers are exposing to various threats or risks in the healthcare industry. Occupational health hazards emerge due to various factors such as communicable diseases, pestilence, psychological stress like work-related pressure in the workplace, work shifts, and so on. Healthcare workers face a huge challenge to overcome health hazards and ensure safety. The working women’s occupational health problems in the healthcare sector are a matter of urgent concern. There is also a definite need to develop a database on the occupational health of women in developing countries to promote their health status, and it is essential to create awareness among the health personnel in the industry. Health status influence the occupational health hazards among women workers in the health care industry. The study is focusing the occupational health hazards and the safety measures provided to the healthcare women personnel.

Estimating the Impact of Diabetes Mellitus on Worker Productivity Using Self-Report, Electronic Health Record and Human Resource Data.

We assessed the relationship between diabetes mellitus (DM) and measures of worker productivity, direct health care costs, and costs associated with lost productivity (LP) among health care industry workers across two integrated health care systems. We used data from the Value Based Benefit Design Health and Wellness Study Phase II (VBD), a prospective study of employees surveyed across health systems. Survey and health care utilization data were linked to estimate LP and health care utilization costs. Mean marginal lost productive time per week was 0.56 hours higher for respondents with DM. Mean adjusted monthly total health care utilization costs were $467 higher for respondents with DM. The impact of DM is reflected in higher rates of LP and higher indirect costs for employers related to LP and higher health care resource use.

Mental disorders among workers in the healthcare industry: 2014 national health insurance data

BackgroundNumerous studies have shown that healthcare professionals are exposed to psychological distress. However, since most of these studies assessed psychological distress using self-reporting questionnaires, the magnitude of the problem is largely unknown. We evaluated the risks of mood disorders, anxiety disorders, sleep disorders, and any psychiatric disorders in workers in healthcare industry using Korea National Health Insurance (NHI) claims data from 2014, which are based on actual diagnoses instead of self-evaluation.MethodsWe used Korea 2014 NHI claims data and classified employees as workers in the healthcare industry, based on companies in the NHI database that were registered with hospitals, clinics, public healthcare, and other medical services. To estimate the standardized prevalence of the selected mental health disorders, we calculated the prevalence of diseases in each age group and sex using the age distribution of the Korea population. To compare the risk of selected mental disorders among workers in the healthcare industry with those in other industries, we considered age, sex, and income quartile characteristics and conducted propensity scored matching.ResultsIn the matching study, workers in healthcare industry had higher odds ratios for mood disorders (1.13, 95% CI: 1.11–1.15), anxiety disorders (1.15, 95% CI: 1.13–1.17), sleep disorders (2.21, 95% CI: 2.18–2.24), and any psychiatric disorders (1.44, 95% CI: 1.43–1.46) than the reference group did. Among workers in healthcare industry, females had higher prevalence of psychiatric disorders than males, but the odds ratios for psychiatric disorders, compared to the reference group, were higher in male workers in healthcare industry than in females.ConclusionsThe prevalence of mood disorders, anxiety disorders, sleep disorders, and all psychiatric disorders for workers in the healthcare industry was higher than that of other Korean workers. The strikingly high prevalence of sleep disorders could be related to the frequent night-shifts in these professions. The high prevalence of mental health problems among workers in healthcare industry is alarming and requires prompt action to protect the health of the “protectors.”

The Impact of Proposed Immigration Policy Changes on American Health Care Providers

Changes in immigration policy could impact the American economy in terms of costs and benefits. More specifically, changes to immigration policy could impact the health care labor force, reducing the pipeline of health care workers coming to the United States. Such a disruption could have serious long-term consequences for the quality of health care in this country. This paper will explore the current and projected labor market in health care, the participation of foreign-born workers in health care industries, current policies that affect the immigration of health care workers, and what proposed policy changes might mean for health care delivery in the future.

Work Place Violence in Nursing

Violence against nurses is a complex and persistent occupational hazard facing the nursing profession. Paradoxically, the job sector with the mission to care for people appears to be at the highest risk of workplace violence. Nurses are among the most assaulted workers in Health Care industry. Too frequently, nurses are exposed to violence – primarily from patients, patients’ families, visitors, and Health care team members too. This violence can take the form of intimidation, harassment, stalking, beatings, stabbings, shootings, and other forms of assault. Psychological consequences resulting from violence may include fear, frustration, lack of trust in hospital administration, and decreased job satisfaction. Incidences of violence early in nurses’ careers are particularly problematic as nurses can become disillusioned with their profession. Violence not only affects nurses’ perspectives of the profession, but it also undermines recruitment and retention efforts which, in a time of a pervasive nursing shortage, threaten patient care. The purpose of this article is to assess the problems of violence against nurses and discussing the different methods and solutions to stop the work place violence for quality care and safety of patients and Nurses at work place.

Healthcare Industry Injuries by Patient Contact Status in Kentucky, 2012-2014.

The healthcare industry continues to have a high number of reported injuries. The purpose of this study was to characterize healthcare industry injuries by patient contact status, identify the occupations associated with healthcare injuries by patient contact status, and determine healthcare injury rates by occupation to gain a better understanding of healthcare industry-compensated injuries and better target safety practices and programs in the healthcare industry. Kentucky healthcare industry workers' compensation first reports of injuries from calendar years 2012-2014 were categorized into injuries involved in direct patient contact versus injuries without direct patient contact using narrative text analysis. Injury numbers and rates were calculated for a number of data variables. Healthcare injuries without direct patient contact (55% of all first reports of injuries) occurred more frequently among older workers (45 years old and older [51%]), in "other" occupations such as housekeeping and maintenance (28%), and as a result of falls/slips/trips (39%) and sprains/tears (38%). In contrast, a higher percentage of healthcare injuries involving direct patient contact occurred among workers younger than 35 years (48%), in healthcare support occupations (50%), and resulting from sprains/tears (66%) and lifting/handling (52%), compared with those without direct patient contact. Findings from this study can better target the need for new and/or additional specific workplace safety training, especially in the healthcare support and nursing occupations with and without patient contact.

Job strain predicts survey response in healthcare industry workers

To examine the effect of job strain on survey response. 1,613 health care workers received a self-administered questionnaire. Thirty percent of them completed the survey on personal time without any personal monetary compensation. Working conditions were extracted by job title from the national database O*NET 6.0. Job strain was defined as the ratio of job demands to job control. Two complementary models (multi-level logistic and binomial pseudo Poisson regressions) were used to model individual survey response as a function of individual level demographic variables (age and gender), job-level socioeconomic status (SES) and job strain, and facility type (third level). Survey response was associated with higher SES and with less job strain. The association of SES and survey response was mediated by job strain. Employees' exposure to job strain may be an important influence on survey response, at least for workers who are not compensated for their time in completing a survey.