Assessing the Impact of Community Factors on Acute Care Nurses' Job Satisfaction and Turnover Intention.

BACKGROUND: Community factors may affect nurses' job behavior and decision making. There is a gap in the literature regarding the impact of community satisfaction, family ties, and community preferences on acute care nurses' turnover intention and job satisfaction. Furthermore, no studies have examined the differences in community satisfaction, community preferences, and family ties among nurses working in rural and urban settings. PURPOSE: To identify the impact of family ties, community satisfaction, and community preferences on turnover intention and job satisfaction among acute care nurses working in Ontario's urban and rural areas. METHODS: Descriptive correlational survey design was used in this study. A targeted stratified sampling technique was used to recruit acute care nurses working in Ontario's urban and rural areas (N = 349) between May 2019 and July 2019. Dillman's approach was used to guide data collection. Parametric and non-parametric tests were used for data analysis. RESULTS: A significant association was found between working settings and community preferences. A statistically significant positive relationship between community satisfaction and nurses' job satisfaction was identified. Furthermore, community satisfaction had a negative impact on turnover intention. Neither community preference nor family ties were significantly associated with turnover intention or job satisfaction. CONCLUSION: The study suggests that community satisfaction can influence important nurse work-related outcomes. Future studies should replicate and validate these results in different contexts and cultures. Retaining nurses may be difficult if they are not satisfied with their communities.

Development and Testing of an Acute Care Nurses' Job Satisfaction Scale.

BACKGROUND AND PURPOSE: Factors affecting nurses' job satisfaction in the acute care setting may differ from nurses working in other settings. The aim of this study was to develop a new tool that measure the job satisfaction of acute care nurses who provide direct patient care. METHODS: Content validity then exploratory factor analysis (EFA) were used for validation of the new tool using a random sample of 349 acute care nurses. RESULTS: The EFA resulted in 31 items suggesting 6 factors were present in the instrument. The identified factors were: achievement/job interest/responsibility, hospital policy, quality of supervision, peer support/work condition, growth/advancement, and benefits/job security. CONCLUSION: A new tool for measuring acute care nurses' job satisfaction was developed based on a robust theoretical foundation and demonstrated sound psychometric properties.

Factors affecting job satisfaction among acute care nurses working in rural and urban settings.

AIMS: To: (a) identify the differences and similarities in the extrinsic and intrinsic factors that influence job satisfaction among nurses in urban and rural Ontario; and (b) determine the impact of job satisfaction on nurses' turnover intention among nurses working in rural and urban settings in Ontario. DESIGN: Cross-sectional correlational design was used for this study. METHODS: Data were collected between May 2019-July 2019 in southern Ontario. Participants (N=349) completed the Acute Care Nurses' Job Satisfaction Scale and The Anticipated Turnover Scale. A stratified sampling technique was used for recruiting the sample population and participants were given the option to respond either online or by mailed survey. RESULTS: There was no significant difference between rural and urban nurses in either overall job satisfaction level or turnover intention. Peer support/work conditions, quality of supervision, and achievement/job interest/responsibility were significant predictors of job satisfaction. There was a significant difference between rural and urban nurses in terms of satisfaction from benefits and job security and the nurses' job satisfaction levels correlated negatively with their turnover intention. CONCLUSION: Several extrinsic and intrinsic factors are associated with nurses' job satisfaction in rural and urban settings. Developing strategies that improve satisfaction by modulating these specific factors may improve nurses' job satisfaction and reduce turnover. IMPACT: This study discussed how working in a rural or urban hospital may affect nurses' job satisfaction and turnover intention. The findings can help in improving nurses' job satisfaction and inform workforce planning to increase nurses' retention.

Factors affecting nurses' job satisfaction in rural and urban acute care settings: A PRISMA systematic review.

AIMS: This review aimed to systematically assess the findings of primary studies to identify the factors associated with nurse job satisfaction in rural and urban contexts while analysing the findings according to Herzberg's theory. BACKGROUND: While there is evidence linking several factors to nurses' job satisfaction, gaps still exist in understanding the differences between factors affecting job satisfaction for nurses working in rural and urban settings. DESIGN: Systematic review with narrative summary. DATA SOURCES: Six databases were used to identify original studies that discuss the factors associated with the nurse's job satisfaction between 1998-2018. REVIEW METHODS: Two authors independently reviewed each study using the Joanna Briggs Institute's critical appraisal checklists. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement to report and examine the study biases systematically. RESULTS: A total of 38 studies were selected for this review. Physical working environment and authority and freedom were the most frequently reported factors associated with nurses' job satisfaction. Several extrinsic, intrinsic, personal, and community factors were also found to be associated with nurses' job satisfaction. Urban studies tended to focus on extrinsic factors, whereas there was more balance between the two sets of factors in rural studies. CONCLUSION: Both intrinsic and extrinsic factors play an essential role in nurses' job satisfaction. Future research should use more robust research methods and pay more attention to contrasting rural and urban contexts. Herzberg's theory can provide conceptual clarity when investigating the factors associated with nurses' job satisfaction. IMPACT: This review discussed the factors associated with nurses' job satisfaction in rural and urban settings. The findings linked several extrinsic and intrinsic factors to nurses' job satisfaction. Nursing management should search for the perfect blend of intrinsic and extrinsic factors based on nurses' needs and organizational commitment to improve nurses' job satisfaction.

Development of a techno-humanist model for e-health adoption of innovative technology.

BACKGROUND AND PURPOSE: After investing billions of dollars in an integrated Electronic Medical Records (physicians) and Personal Health Records (patients) system to allow both parties to manage and communicate through e-health innovative technologies, Canada is still making slow adoption progress. In an attempt to bridge the human and technological perspectives by developing and testing a holistic model, this study purports to predict patients' behavioral intentions to use e-health applications. METHODS: An interdisciplinary approach labelled as a techno-humanism model (THM) is testing twelve constructs identified from the technological, sociological, psychological, and organizational research literature and deemed to have a significant effect upon and positive relationship with patients' e-health applications adoption. Subjects were Canadians recruited in a mall-intercept mode from a region representing a demographically diverse population, including rural and urban residents. The SmartPLS measurement tool was used to evaluate the reliability and validity of study constructs. The twelve constructs were separately tested with quantitative data such as factor analysis, single, multiple, and hierarchical multiple regression. RESULTS: The hierarchical multiple regression analysis process led us to formulate four models, each hinged on a combination of interdisciplinary variables. Model 1 consisted of the technological predictors and explained 62.3% (p < .001) of variance in the behavioral intention to use e-health. Model 2 added the sociological predictors to the equation and explained 72.3% (p < .001) of variance. Model 3 added the psychological predictors to Model 2 and explained 72.8% (p < .001). Finally, Model 4 included all twelve predictors and explained 73% (p < .001) of variance in the behavioral intention to use e-health applications. CONCLUSIONS: One of the greatest barriers to applying e-health records in Canada resides in the lack of coordination among stakeholders. The present study implies that healthcare policy makers must consider the twelve variables with their findings and implications as a whole. The techno-humanist model (THM) we are proposing is a more holistic and continuous approach. It pushes back to a breakdown of the various technological, sociological, psychological, and managerial factors and stakeholders that are at the root cause of behavioral intentions to use e-health, as opposed to merely observing behavioral outcomes at the end of the "assembly line". Active participation and coordination of all stakeholders is a key feature.

Fall prevention strategy in an emergency department.

Purpose The purpose of this paper is to document the need for implementing a fall prevention strategy in an emergency department (ED). The paper also spells out the research process that led to approving an assessment tool for use in hospital outpatient services. Design/methodology/approach The fall risk assessment tool was based on the Morse Fall Scale. Gender mix and age above 65 and 80 years were assessed on six risk assessment variables using χ2 analyses. A logistic regression analysis and model were used to test predictor strength and relationships among variables. Findings In total, 5,371 (56.5 percent) geriatric outpatients were deemed to be at fall risk during the study. Women have a higher falls incidence in young and old age categories. Being on medications for patients above 80 years exposed both genders to equal fall risks. Regression analysis explained 73-98 percent of the variance in the six-variable tool. Originality/value Canadian quality and safe healthcare accreditation standards require that hospital staff develop and adhere to fall prevention policies. Anticipated physiological falls can be prevented by healthcare interventions, particularly with older people known to bear higher risk factors. An aging population is increasing healthcare volumes and medical challenges. Precautionary measures for patients with a vulnerable cognitive and physical status are essential for quality care.