The burnout syndrome among nurses in an urban acute care hospital

Three hundred fifty-four registered nurses from an urban acute care hospital were examined through self-report questionnaires. Nurses from trauma care, critical care and non-critical care nursing specialties participated in the study. The study focuses were (1) whether sociodemographic characteristics were significantly related to burnout; (2) what was the prevalence estimate of burnout among the population; (3) whether burnout levels differed depending upon nursing specialties and; (4) whether burnout as related to nursing stress, work environment, and work relations was mediated by sociodemographic characteristics.^ Race, age, marital status, education, seniority, rank, nursing education, and birthplace were significantly related to one or more aspects of burnout in the total population. With emotional exhaustion alone the prevalence of burnout was 62%. Using emotional exhaustion and depersonalization combined with reduced sense of personal accomplishment as a measure of burnout, thirty-four percent of the nurses were either in the pre-burnout phase or burned out. The relative importance of sociodemographic characteristics indicated that experience and race were highly significant risk factors.^ Burnout levels differed significantly depending upon nursing specialty. Specifically, levels of emotional exhaustion and depersonalization differed significantly between trauma care and critical care, and trauma care and non-critical care. Personal accomplishment did not differ depending upon nursing specialty. Critical care nurses did not differ significantly from non-critical care nurses on aspect of burnout.^ Race, marital status, education, seniority and rank were significant mediators of emotional exhaustion and depersonalization. The study offers possible explanations for the mediating effect of sociodemographic characteristics on nursing stress, work environment, work relations, emotional exhaustion and depersonalization. ^

Patient satisfaction and nursing staff work satisfaction in an urban public teaching hospital

This study examined the level of patient satisfaction and nursing staff work satisfaction at an urban public hospital in the Southwestern United States. The primary objectives of this study were to determine: (1) the level of overall patient satisfaction and satisfaction with specific dimensions of hospital care; (2) the differences in patient satisfaction according to demographic characteristics (age, gender, ethnicity, and education completed) and predispositional factors (perceived health status, perceived level of pain, prior contact with the hospital, and hospital image) and the relative importance of each variable on patient satisfaction; (3) the level of overall work satisfaction and satisfaction with specific dimensions of work experienced by the medical/surgical nursing staff; (4) the differences in work satisfaction experienced by the nursing staff based on demographic variables (age, gender, ethnicity, and marital status) and professional factors (education completed, staff position, the number of years employed with the hospital, and number of years employed in nursing) and the relative importance of each variable on work satisfaction; and (5) to determine the effect of the nursing work milieu on patient and staff satisfaction.^ The study findings showed that patients experienced a moderate to low level of satisfaction with the dimensions of hospital care (admission process, daily care, information, nursing care, physician care, other hospital staff, living arrangements, and overall care). Of the eight dimensions of care, patients reported a relatively positive level of satisfaction (75 percent or better) with only one dimension: physician care. Ethnicity, perceived health status, and hospital image were significantly related to patient satisfaction. Hispanic patients, those who were in good health, and those who felt the hospital had a good image in their community were most satisfied with hospital care. Patients also reported areas of hospital care that needed the most improvement. Responses included: rude staff, better nursing care, and better communication.^ Findings from the nursing satisfaction survey indicated a low level of satisfaction with the dimensions of work (autonomy, pay, professional status, interaction, task requirements, and organizational policies). Only one dimension of work, professional status, received a mean satisfaction score in the positive range. Additionally, staff members were unanimously dissatisfied with their salaries. Frequently mentioned work-related problems reported by the staff included: staffing shortages, heavy patient loads. and excessive paperwork.^ The nursing milieu appeared to have had a significant effect on the satisfaction levels of patients nursing staff employees. The nursing staff were often short staffed, which increased the patient-to-nurse ratio. Consequently, patients did not receive the amount of attention and care they expected from the nursing staff. Crowded patient rooms allowed for little personal space and privacy. Dissatisfaction with living conditions served to influence patients' attitudes and satisfaction levels. These frustrations were often directed toward their primary caregivers, the nursing staff. Consequently, the nursing milieu appeared to directly affect and influence the satisfaction levels of both patients and staff. (Abstract shortened by UMI). ^

An empirical model to estimate the demand for primary care in urban settings

Objective. To measure the demand for primary care and its associated factors by building and estimating a demand model of primary care in urban settings.^ Data source. Secondary data from 2005 California Health Interview Survey (CHIS 2005), a population-based random-digit dial telephone survey, conducted by the UCLA Center for Health Policy Research in collaboration with the California Department of Health Services, and the Public Health Institute between July 2005 and April 2006.^ Study design. A literature review was done to specify the demand model by identifying relevant predictors and indicators. CHIS 2005 data was utilized for demand estimation.^ Analytical methods. The probit regression was used to estimate the use/non-use equation and the negative binomial regression was applied to the utilization equation with the non-negative integer dependent variable.^ Results. The model included two equations in which the use/non-use equation explained the probability of making a doctor visit in the past twelve months, and the utilization equation estimated the demand for primary conditional on at least one visit. Among independent variables, wage rate and income did not affect the primary care demand whereas age had a negative effect on demand. People with college and graduate educational level were associated with 1.03 (p < 0.05) and 1.58 (p < 0.01) more visits, respectively, compared to those with no formal education. Insurance was significantly and positively related to the demand for primary care (p < 0.01). Need for care variables exhibited positive effects on demand (p < 0.01). Existence of chronic disease was associated with 0.63 more visits, disability status was associated with 1.05 more visits, and people with poor health status had 4.24 more visits than those with excellent health status. ^ Conclusions. The average probability of visiting doctors in the past twelve months was 85% and the average number of visits was 3.45. The study emphasized the importance of need variables in explaining healthcare utilization, as well as the impact of insurance, employment and education on demand. The two-equation model of decision-making, and the probit and negative binomial regression methods, was a useful approach to demand estimation for primary care in urban settings.^

Comparison of financial trends in small rural and urban hospitals in Texas, 1983--1985

The purpose of this study was to compare the financial performance of small rural hospitals to that of small urban hospitals in Texas. Hospital-specific and environmental factors were studied as control variables.^ Small rural hospitals were found to be financially stronger on measures of liquidity but weaker on measures of profitability. Small urban hospitals performed better on measures of profitability and long-range solvency. When all measures in the five dimensions of financial performance were analyzed, no significant difference was found between the two groups of hospitals. None of the control variables included in the study was significantly associated with financial performance both for rural and urban hospitals. Conclusions were that small rural hospitals in Texas are experiencing a deterioration in financial condition but small, rural hospitals are not doing any worse than small urban hospitals; and that the financial hardship which rural hospitals suffer may be inherent in the nature of the institutions themselves, and not as a result of their smallness nor their rural settings. ^

Implementing and evaluating a Web -based close call reporting system at an urban hospital

Medical errors and close calls are pervasive in health care. It is hypothesized that the causes of close calls are the same as for medical errors; therefore learning about close calls can help prevent errors and increase patient safety. Yet despite efforts to encourage close call reporting, close calls as well as medical errors are under-reported in health care. The purpose of this dissertation was to implement and evaluate a web-based anonymous close call reporting system in three units at an urban hospital. ^ The study participants were physicians, nurses and medical technicians (N = 187) who care for patients in the Medical Intermediate Care Unit, the Surgical Intermediate Care Unit, and the Coronary Catheterization Laboratory in the hospital. We provided educational information to the participants on how to use the system and e-mailed and delivered paper reminders to report to the participants throughout the 19-month project. We surveyed the participants at the beginning and at the end of the study to assess their attitudes and beliefs regarding incident reporting. We found that the majority of the health care providers in our study are supportive of incident reporting in general but in practice very few had actually reported an error or a close call, semi-structured interview 20 weeks after we made the close call reporting system available. The purpose of the interviews was to further assess the participants' attitudes regarding incident reporting and the reporting system. Our findings suggest that the health care providers are supportive of medical error reporting in general, but are not convinced of the benefit of reporting close calls. Barriers to close call reporting cited include lack of time, heavy workloads, preferring to take care of close calls "on the spot", and not seeing the benefits of close call reporting. Consequently only two = close calls were reported via the system by two separate caregivers during the project. ^ The findings suggest that future efforts to increase close call reporting must address barriers to reporting, especially the belief among care givers that it is not worth taking time from their already busy schedules to report close calls. ^