scholarly journals Effect of Work–Family Conflict, Psychological Job Demand, and Job Control on the Health Status of Nurses

2021 ◽  
Vol 18 (7) ◽  
pp. 3540
Author(s):  
Li-Chung Pien ◽  
Wan‐Ju Cheng ◽  
Kuei-Ru Chou ◽  
Li-Chiu Lin
Keyword(s):  
Health Status ◽  
Educational Level ◽  
Work Experience ◽  
Work Conditions ◽  
Job Control ◽  
Healthcare Sector ◽  
Hospital Data ◽  
Self Rated Health ◽  
Work Shifts ◽  
Work Family

Work–family conflicts (WFCs) are common in the healthcare sector and pose significant health risks to healthcare workers. This study examined the effect of WFCs on the health status and nurses’ leaving intentions in Taiwan. A self-administered questionnaire was used to survey 200 female nurses’ experiences of WFC from a regional hospital. Data on psychosocial work conditions, including work shifts, job control, psychological job demands, and workplace justice, were collected. Health conditions were measured using the Beck Depression Inventory-II and self-rated health. Leaving intentions were measured using a self-developed questionnaire. The participants’ average work experience was 6.79 (Standard Deviation (SD) = 5.26) years, their highest educational level was university, and work shifts were mostly night and rotating shifts. Approximately 75.5% of nurses perceived high levels of WFCs. Leaving intentions were correlated with WFCs (r = 0.350, p < 0.01) and psychological work demands (r = 0.377, p < 0.01). After adjusting for age, educational level, and work characteristics, high levels of WFCs were associated with poor self-rated health, and depression, but not associated with high leaving intentions. Nurses’ experiences of high levels of WFCs greatly affected their health status.

scholarly journals Presenteeism among workers: health-related factors, work-related factors and health literacy

2020 ◽  
Vol 70 (8) ◽  
pp. 564-569
Author(s):  
E Goto ◽  
H Ishikawa ◽  
T Okuhara ◽  
H Ueno ◽  
H Okada ◽  
...  
Keyword(s):  
Health Status ◽  
Health Literacy ◽  
Job Demands ◽  
Job Control ◽  
Related Factors ◽  
Cross Sectional ◽  
Workplace Support ◽  
Work Related ◽  
Self Rated Health ◽  
Health Related

Abstract Background Presenteeism is an important factor in workers’ health. However, few studies have examined how variables such as socio-economic status, health status, workplace status and health literacy correlate with and affect presenteeism. Aims To assess the correlates of presenteeism with a focus on health-related factors, work-related factors and health literacy. Methods We conducted a cross-sectional study of 2914 Japanese workers from one company. We used a self-administered questionnaire to assess socio-demographic characteristics, health status, work environment, presenteeism and health literacy. Results Forty-one per cent of participants were under 40 years of age and 70% were male. We found that 59% of the participants were at high risk of presenteeism. Presenteeism was associated with sex, age, household income, marital status, health-related factors (i.e. self-rated health status, dietary choices, exercise habits), work-related factors (i.e. workplace support, job demands, job control) and health literacy. Logistic regression analyses indicated that presenteeism was associated with self-rated health status, overtime hours, workplace support, job demands, job control and health literacy after adjusting for sex, age and income. Conclusions Health-related factors, work-related factors and health literacy are all associated with presenteeism. Improving the workplace environment, especially factors such as overtime working hours, workplace support, job demands and job control, and increasing health literacy may reduce presenteeism among general office workers.

scholarly journals Associations of physicians’ prescribing experience, work hours, and workload with prescription errors

2020 ◽  
Author(s):  
Ilona Leviatan ◽  
Bernice Oberman ◽  
Eyal Zimlichman ◽  
Gideon Y Stein
Keyword(s):  
Decision Support ◽  
Work Experience ◽  
Large Scale ◽  
Medical Center ◽  
Work Conditions ◽  
Machine Learning Algorithms ◽  
Computerized Decision Support ◽  
Prescription Errors ◽  
Specific Medication ◽  
Work Shifts

Abstract Objective We aimed to assess associations of physician’s work overload, successive work shifts, and work experience with physicians’ risk to err. Materials and Methods This large-scale study included physicians who prescribed at least 100 systemic medications at Sheba Medical Center during 2012–2017 in all acute care departments, excluding intensive care units. Presumed medication errors were flagged by a high-accuracy computerized decision support system that uses machine-learning algorithms to detect potential medication prescription errors. Physicians’ successive work shifts (first or only shift, second, and third shifts), workload (assessed by the number of prescriptions during a shift) and work-experience, as well as a novel measurement of physicians’ prescribing experience with a specific drug, were assessed per prescription. The risk to err was determined for various work conditions. Results 1 652 896 medical orders were prescribed by 1066 physicians; The system flagged 3738 (0.23%) prescriptions as erroneous. Physicians were 8.2 times more likely to err during high than normal-low workload shifts (5.19% vs 0.63%, P &lt; .0001). Physicians on their third or second successive shift (compared to a first or single shift) were more likely to err (2.1%, 1.8%, and 0.88%, respectively, P &lt; .001). Lack of experience in prescribing a specific medication was associated with higher error rate (0.37% for the first 5 prescriptions vs 0.13% after over 40, P &lt; .001). Discussion Longer hours and less experience in prescribing a specific medication increase risk of erroneous prescribing. Conclusion Restricting successive shifts, reducing workload, increasing training and supervision, and implementing smart clinical decision support systems may help reduce prescription errors.

scholarly journals A comparative study of the work-family conflicts prevalence, its sociodemographic, family, and work attributes, and its relation to the self-reported health status in Japanese and Egyptian civil workers

2021 ◽  
Author(s):  
Omnyh Abd El Latif ◽  
Ehab Eshak ◽  
Eman Mahfouz ◽  
Hiroyasu Iso ◽  
Hiroshi Yatsuya ◽  
...  
Keyword(s):  
Health Status ◽  
Working Hours ◽  
Japanese Women ◽  
Regression Analyses ◽  
Family Conflicts ◽  
Convenience Sample ◽  
Self Rated Health ◽  
Family And Work ◽  
Reported Health ◽  
Work Family

Abstract Background Cross-cultural studies studying work-family conflicts (W_F_Cs) are scarce. We compared the prevalence of W_F_Cs, factors predicting it, and its association with self-rated health between Japan and Egypt. Methods Among 4862 Japanese and 3111 Egyptian civil workers who were recruited by a convenience sample in 2018/2019 and reported self-rated health status, we assessed the W_F_Cs by the Midlife Development in the US (MIDUS) and attributed it, by linear regression analyses, to sociodemographic, family, and work variables, and assessed its gender- and country-specific associations with self-rated health by logistic regression analyses. Results W_F_Cs were more prevalent in Egyptian than Japanese women (23.7% vs. 18.2%) and men (19.1% vs. 10.5%), while poor self-rated health was more prevalent in Japanese than Egyptians (19.3% and 17.3% vs. 16.9% and 5.5%). In both genders of countries, longer working hours, shift work, and overtime work predicted higher scores of the work-to-family conflict (WFC). In contrast, single status predicted lower scores of the family-to-work conflict (FWC). Living with children, fathers, or alone in Japan, while education in Egypt was associated with the conflicts. The OR (95% CI) for poor self-reported health among those with the strong, in reference to weak W_F_Cs, was 4.28 (2.91-6.30) and 6.01 (4.50-8.01) in Japanese women and men and was 2.46 (1.75-3.47) and 3.11 (1.67-5.80) in Egyptian women and men. Conclusions Japanese and Egyptian civil workers have different prevalence and correlated factors of W_F_Cs and self-rated health. W_F_Cs were associated in a dose-response pattern with poor-self-rated health civil workers of both countries.

scholarly journals Social Support, Grit, Health Status, and Work-Life Balance of Nurses

2020 ◽  
Vol 20 (4) ◽  
pp. 194-202
Author(s):  
Sol Lee ◽  
Yunhee Shin
Keyword(s):  
Social Support ◽  
Health Status ◽  
Work Experience ◽  
Explanatory Power ◽  
Intervention Strategy ◽  
Work Life ◽  
University Hospital ◽  
Work Life Balance ◽  
Hospital Data ◽  
Life Balance

Background: The purpose of this descriptive study is to investigate nurses’ social support, health status, grit, and work-life balance and identify the factors affecting their work-life balance.Methods: The subjects in this study were 203 nurses working in a university hospital. Data were analyzed using Pearson’s correlation coefficients, independent t-test, one-way analysis of variance, Scheffe’s test, and multiple linear regression.Results: The study revealed significant relationships between work-life balance and social support (r=0.39, P<0.001), health status (r=0.69, P<0.001), and grit (r=0.36, P<0.001). Factors influencing work-life balance were health status (β=0.57), grit (β=0.17), social support (β=0.14), and work experience (β=-0.12). The explanatory power of the regression model was 51.2%, and the model was statistically significant (F=43.45, P<0.001).Conclusions: This study suggests that it is necessary to include, in the intervention strategy for nurses’ work-life balance, methods to improve their health status, grit, and social support. A balanced work-life for nurses can help them satisfactorily perform professional services while managing the nursing organization stably and, ultimately, help them grow into professional nurses in the future.

THE INFLUENCE OF EDUCATIONAL LEVEL, WORK EXPERIENCE AND COMPREHENSION OF ACCOUNTING INFORMATION SYSTEM ON FINANCIAL REPORT QUALITY

2018 ◽  
Vol 4 (2) ◽  
pp. 33-42
Author(s):  
Fajar Adiyanto ◽  
Yuli Chomsatu Samrotun ◽  
Anita Wijayanti
Keyword(s):  
Information System ◽  
Data Analysis ◽  
Educational Level ◽  
Work Experience ◽  
Accounting Information ◽  
Primary Data ◽  
Multiple Series ◽  
Accounting Information System ◽  
Financial Report ◽  
Report Quality

This study is conducted to: 1) test and analyze the influence of educational level on financial report quality; 2) test and analyze the influence of work experience on financial report quality; 3) test and analyze the influence of accounting information system on financial report quality. This type of research i.e. research with quantitative data sources in this study is the primary data. Population in this study is all employees employed in district financial department in Surakarta with the sample amounted of 30 employees, where all population was taken as sample. The technique in this study use the question form. The data analysis in a linear regression multiple series program spss for windows version 17.0. From data analysis known that the variabel work experience (H2) and accounting information system comprehension (H3) have influence on financial report quality, and the educational level (H1) variable has no influence on financial report quality, with in the regression coefficient values show that showed a negative value i.e. t count-0.985 and significant value of 0.334

scholarly journals Working conditions and health status of 6,317 front line public health workers across five provinces in China during the COVID-19 epidemic: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jinghua Li ◽  
Jingdong Xu ◽  
Huan Zhou ◽  
Hua You ◽  
Xiaohui Wang ◽  
...  
Keyword(s):  
Public Health ◽  
Mental Health ◽  
Health Status ◽  
Health Outcomes ◽  
Working Conditions ◽  
Health Workers ◽  
Front Line ◽  
Cross Sectional ◽  
Self Rated Health ◽  
Public Health Workers

ABSTRACT Background Public health workers at the Chinese Centre for Disease Control and Prevention (China CDC) and primary health care institutes (PHIs) were among the main workers who implemented prevention, control, and containment measures. However, their efforts and health status have not been well documented. We aimed to investigate the working conditions and health status of front line public health workers in China during the COVID-19 epidemic. Methods Between 18 February and 1 March 2020, we conducted an online cross-sectional survey of 2,313 CDC workers and 4,004 PHI workers in five provinces across China experiencing different scales of COVID-19 epidemic. We surveyed all participants about their work conditions, roles, burdens, perceptions, mental health, and self-rated health using a self-constructed questionnaire and standardised measurements (i.e., Patient Health Questionnaire and General Anxiety Disorder scale). To examine the independent associations between working conditions and health outcomes, we used multivariate regression models controlling for potential confounders. Results The prevalence of depression, anxiety, and poor self-rated health was 21.3, 19.0, and 9.8%, respectively, among public health workers (27.1, 20.6, and 15.0% among CDC workers and 17.5, 17.9, and 6.8% among PHI workers). The majority (71.6%) made immense efforts in both field and non-field work. Nearly 20.0% have worked all night for more than 3 days, and 45.3% had worked throughout the Chinese New Year holiday. Three risk factors and two protective factors were found to be independently associated with all three health outcomes in our final multivariate models: working all night for >3 days (multivariate odds ratio [ORm]=1.67~1.75, p<0.001), concerns about infection at work (ORm=1.46~1.89, p<0.001), perceived troubles at work (ORm=1.10~1.28, p<0.001), initiating COVID-19 prevention work after January 23 (ORm=0.78~0.82, p=0.002~0.008), and ability to persist for > 1 month at the current work intensity (ORm=0.44~0.55, p<0.001). Conclusions Chinese public health workers made immense efforts and personal sacrifices to control the COVID-19 epidemic and faced the risk of mental health problems. Efforts are needed to improve the working conditions and health status of public health workers and thus maintain their morale and effectiveness during the fight against COVID-19.

scholarly journals The route to employability: a longitudinal study on a sample of Italian job seekers

2021 ◽  
Author(s):  
Alessandro Lo Presti ◽  
Assunta De Rosa ◽  
Monica Zaharie
Keyword(s):  
Longitudinal Study ◽  
Conceptual Model ◽  
Educational Level ◽  
Work Experience ◽  
Proactive Personality ◽  
External Factors ◽  
Relative Importance ◽  
Job Seekers ◽  
Life Circumstances ◽  
Core Self

AbstractThis study aimed to examine the main predictors of employability, building on a recent conceptual model on employability developed by Lo Presti and Pluviano (Organ Psychol Rev 6(2): 192–211, 2016). Survey based data were collected from a sample of 263 Italian job-seekers through a longitudinal study. The results revealed that employability was more strongly determined by personal dispositions than by external factors, such as life circumstances and that the variables with the most impact were proactive personality, core self-evaluations, and educational level, rather than employability culture, family employability support, and previous work experience. The paper reveals an understanding of the relative importance of antecedents that determine employability.

scholarly journals Self-Rated Health Status Based on the Type of Health Insurance: A Socioeconomic Perspective

2021 ◽  
Vol 58 ◽  
pp. 004695802110281
Author(s):  
Minsung Sohn ◽  
Minsoo Jung ◽  
Mankyu Choi
Keyword(s):  
Socioeconomic Status ◽  
Health Insurance ◽  
Health Status ◽  
Regression Models ◽  
Private Health Insurance ◽  
Public And Private ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Interaction Terms ◽  
Healthcare Coverage

To investigate the effects of public and private health insurance on self-rated health (SRH) status within the National Health Insurance (NHI) system based on socioeconomic status in South Korea. The data were obtained from 10 867 respondents of the Korea Health Panel (2008-2011). We used hierarchical panel logistic regression models to assess the SRH status. We also added the interaction terms of socioeconomic status and type of health insurance as moderators. Medical aid (MA) recipients were 2.10 times more likely to have a low SRH status than those who were covered only by the NHI, even though the healthcare utilization was higher. When the interaction terms were included, those not covered by the NHI and had completed elementary school or less were 16.59 times more likely to have a low SRH status than those covered by the NHI and had earned a college degree or higher. Expanding healthcare coverage to reduce the burden of non-payment and unmet use to improve the health status of MA beneficiaries should be considered. Particularly, the vulnerability of less-educated groups should be focused on.

Sign in / Sign up

Export Citation Format

Share Document