Patient satisfaction is a key outcome measure being examined by researchers exploring the relationships between patient outcomes and hospital structure and care processes. Only a few non-generalizable studies, however, have explored the relationship of nurse staffing and patient satisfaction with nursing care in emergency departments of hospitals. This dissertation aims to address that gap. Using more than 182,000 patient satisfaction surveys collected over a five-year period from 153 emergency departments (EDs) in 107 hospitals throughout Ontario, this study explores the relationship between nurse staffing and patient perceptions of nursing care in a range of Canadian ED settings, including urban and rural, community and academic, and small and large healthcare institutions with varying sizes and case mix. Using an established conceptual framework for investigating the relationship between nurse staffing and patient outcomes, nineteen nurse staffing variables were initially investigated. Ultimately, however, only five staffing variables were used in the multi-level regression analyzes. These five variables included registered nurse (RN) proportion, RN agency proportion, percent full-time nurse worked hours, RN worked hours per patient length of stay and registered practical nurse (RPN) worked hours per length of stay. Emergency department case mix index, patient age and gender, hospital peer group, size, wait times, cleanliness of the emergency department, physician courtesy, and year of measurement were controlled to account for their effect on the relationship between nursing staffing and patient satisfaction in the ED. The study revealed a subset of six patient satisfaction variables representing the overall variation in patient satisfaction with nursing care in the ED. Although RN proportion and RPN worked hours per length of stay were found to have a statistical association with patient satisfaction in the ED, the association was weak and not administratively actionable. Interpersonal and environmental factors such as physician and nurse courtesy, ED cleanliness and timeliness, however, were areas which hospital administrators should consider since they were highly associated with patient satisfaction in EDs.

Patient satisfaction is a key outcome measure being examined by researchers exploring the relationships between patient outcomes and hospital structure and care processes. Only a few non-generalizable studies, however, have explored the relationship of nurse staffing and patient satisfaction with nursing care in emergency departments of hospitals. This dissertation aims to address that gap. Using more than 182,000 patient satisfaction surveys collected over a five-year period from 153 emergency departments (EDs) in 107 hospitals throughout Ontario, this study explores the relationship between nurse staffing and patient perceptions of nursing care in a range of Canadian ED settings, including urban and rural, community and academic, and small and large healthcare institutions with varying sizes and case mix. Using an established conceptual framework for investigating the relationship between nurse staffing and patient outcomes, nineteen nurse staffing variables were initially investigated. Ultimately, however, only five staffing variables were used in the multi-level regression analyzes. These five variables included registered nurse (RN) proportion, RN agency proportion, percent full-time nurse worked hours, RN worked hours per patient length of stay and registered practical nurse (RPN) worked hours per length of stay. Emergency department case mix index, patient age and gender, hospital peer group, size, wait times, cleanliness of the emergency department, physician courtesy, and year of measurement were controlled to account for their effect on the relationship between nursing staffing and patient satisfaction in the ED. The study revealed a subset of six patient satisfaction variables representing the overall variation in patient satisfaction with nursing care in the ED. Although RN proportion and RPN worked hours per length of stay were found to have a statistical association with patient satisfaction in the ED, the association was weak and not administratively actionable. Interpersonal and environmental factors such as physician and nurse courtesy, ED cleanliness and timeliness, however, were areas which hospital administrators should consider since they were highly associated with patient satisfaction in EDs.

The purpose of this project was to identify the standards for the American Association of Critical Care Nurses (AACN). The employees of a 39-bed medical surgical unit within a 697-bed metropolitan medical center were selected through collaboration with the practicum site. Out of 68 allocated positions for this unit, only permanent employees were selected to participate. An employee presented the purpose of the project, the survey process, and inferred consent represented by online login to complete the survey. Following the online assessment, the employee explained the AACN healthy work environment standards in a subsequent presentation. The online healthy work environment assessment measured the AACN healthy work environment standards, which included skilled communication, collaboration, effective decision making, appropriate staffing, meaningful recognition, and authentic leadership. A mean score was generated by the healthy work environment online assessment tool on a scale ranging from 1 (Needs Improvement) to 5 (Excellent). Data from the online assessment were analyzed by comparing mean pre- (3.03) and post- (2.17) project results, which revealed a need for greater understanding of AACN healthy work environment standards. Increased education of the AACN healthy work environment standards and implementation of a formal program would impact nursing turnover rates, improve employee engagement, and ultimately improve the care and outcome of patients, thereby promoting positive social change.

In 2014, Louisiana experienced substantive issues with quality of care in nursing homes. The state had the lowest nurse staffing level among all states, and 7,666 deficiencies for immediate jeopardy violations were recorded from 2011 to 2013. Despite ample research on nurse staffing and quality of care, there is no consensus on how higher nurse staffing relates to quality. The purpose of this quantitative, correlational research was to determine the relationship between nurse staffing levels and quality measures in Louisiana. Donabedian's category structure, process, and outcome was the conceptual framework used to develop the research questions. The data included the quality of care deficiency score and the quality measures found in the Centers for Medicare and Medicaid datasets. The quality measures were the deficiencies and the prevalence of nursing home residents with pressure ulcers, urinary tract infections, and physical restraints. Generalized linear models were used to analyze the relationship between nurse staffing levels and the quality measures. The findings suggested that RNs, nonprofits, chain-affiliated nursing homes, and smaller facilities are important to improve the quality of care in Louisiana nursing homes. These variables were associated with fewer quality of care deficiencies and fewer pressure ulcers. These findings have implications for social change. This information may help inform and direct policy makers in the development and implementation of Medicaid-managed long-term services and supports programs in order to improve the quality of care of a vulnerable population: the elderly and disabled.

The purpose of this study was to investigate the relationship between nursing staffing and quality of life (QOL) in nursing homes (NHs). The relationships between nursing staff hours per resident day, nursing staffing skill mix, turnover of nursing staff, and the answers given to QOL questions by 231 residents in Iowa NHs were investigated. Unexpectedly, only part of staffing variables were statistically significantly correlated with QOL of residents and nurse staffing variables seemed to have little influence on predicting QOL of residents in this study. The major differences between this study and previous studies are that previous research focused on quality of care (QOC) and this study measured QOL by measuring residents' outcomes. Previous studies found that nurse staffing is an important factor in improving QOC (and by implication, QOL) of NH residents. Based on the statistically significant relationships, RNs' unique contributions were supported by the findings that NHs with more RNs, compared with LPNs/LVNs and CNAs, had residents with higher scores in the functional competence domain and overall QOL summary items. This study found that nurse staffing turnover is positively correlated with QOL, especially in the individuality domain. However, the whole study takes place in one state, Iowa. Iowa has a homogeneous population with limited racial diversity. Only Iowa NHs were selected and it is questionable whether the findings may be generalizable to the rest of the United States. Further research is required to confirm the relationship and provide policy guidelines, including nurse staffing recommendations, to guarantee optimal QOL for NH residents.

No description available.

The purpose of this study was to investigate the time of admission to a Neonatal Intensive Care Unit (NICU) and its association with in-hospital mortality among a cohort of neonates at a regional perinatal center. Two different time points were considered: admissions on the weekend versus the weekday and admissions during the nighttime shift versus the day shift. The secondary purpose of the study was to investigate if registered nurse staffing affected this association between NICU admission day or admission time and in-hospital death. Three separate databases were used which contained information on NICU admissions, hospital deliveries and nurse staffing. These databases were linked resulting in data for each individual mother-infant pair for each separate admission to the NICU. Readmissions to the NICU, NICU admissions which could not be linked with the delivery data, admissions from the Newborn Nursery and transfers from other hospitals were excluded from the study. The final study population consisted of 1,846 admissions from October 1, 2001 through December 31, 2006. Weekend admissions were lower than weekday admissions (29.6% versus 70.4%) and nighttime admissions were lower than day admissions (43.2% versus 56.8%). Infants admitted at nighttime were more likely to be low birth weight, have lower Apgar scores and less likely to be delivered by cesarean section. Weekend admissions did not differ significantly from weekday admissions, except weekend admissions were more likely to be Black (33.6% versus 28.6%, p=.30). After adjusting for infant's acuity and other covariates using multivariate logistic regression, the odds of dying on the weekend was not significantly different than weekday admissions (AOR=1.06, 95% CI=.653-1.721) and were not significantly different for nighttime admissions (AOR=1.14, 95% CI=.722-1.79). Nurse staffing was not a significant covariate. Covariates which were significant risk factors for death prior to discharge were non-Black race of the infant, Apgar score of less than 7 at five minutes, presence of a fetal anomaly, and use of ventilation during the stay. Infant's birth weight was a significant protective factor.

The quality of care in United States' nursing homes has been of concern to consumers, government agencies, and researchers for several decades. Nurse staffing has been identified as a key factor influencing the quality of care in nursing homes. The purpose of this quantitative, correlational research was to determine if relationships existed between nurse staffing levels and three quality care outcomes in the state of Georgia. Donabedian's quality conceptual framework guided the study. The framework encompasses three interrelated dimensions of quality including structure, process, and outcomes. Nurse staffing levels and facility bed size represented the structure of nursing homes and pressure ulcers, falls with major injury, and urinary tract infections each represented facility outcomes. The sample included 348 nursing homes in Georgia. Data was collected from the Nursing Home Compare website. The predictor variables in this study were nurse staffing levels of registered nurses, licensed practical nurses, certified nursing assistants, and total nurse staffing levels. The outcome variables were pressure ulcers, urinary tract infections, and falls with major injury. A cross sectional design and multiple regressions were used to analyze the relationship between nurse staffing and quality of care outcomes. While the results of the study did not reveal significant relationships between variables, the study nonetheless offers useful insight on how future studies can be enhanced. These findings have implications for social changes as they may help to inform Georgia policy makers in decisions regarding regulations that mandate minimum nurse staffing standards.

The public hospitals in Taiwan are facing the change of public responsibilities that they used to have and on the other hand encountering the fierce competition caused by National Health Insurance. As a consequence of this, public hospitals need to adjust their managerial model, like mergers for example, in order to coordinate their core competence and lower their cost in administration. However, the changes of organizations will cause the job insecurity of employees and further to affect their working attitudes. In hospitals, nursing staff forms the biggest proportion of employees. In this study, we examined the merger of Kaohsiung Municipal United Hospital in 2003. We investigated the job insecurity and working attitudes of nursing staff by questionnaires in the end of 2002 (before the merger) and in the end of 2003 (one year later of the merger) separately. By analyzing those questionnaires we explored the influences of job insecurity on working attitudes, and we also compared the differences of nursing staff¡¦s working attitudes in two hospitals. The findings are: 1. The more job insecurity that nurses got, the worse their job satisfaction will be. 2. The job insecurity and working attitudes of nursing staff will be different based on their different personal characteristics, including the hospital they belonged to, the ages, marriage status, education, levels of position, and their contract types. 3. The influences of job insecurity on job satisfaction, organizational commitment, and intention to quit will be different based on different hospitals. 4. The influences of job insecurity on job satisfaction will be different before and after merger.

No description available.