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1.
Health Care Manag (Frederick) ; 33(2): 165-71, 2014.
Article in English | MEDLINE | ID: mdl-24776836

ABSTRACT

Computerized physician order entry (CPOE) allows physicians to enter orders in a computer rather than handwriting them. Computerized physician order entry is touted as a major improvement in patient safety, and although the literature suggests that such systems have the potential to improve patient outcomes, studies also suggest that CPOE may have significant drawbacks that accompany those benefits. Physicians have often been resistant to accept its implementation. This study investigates the implementation of CPOE at a 217-bed rural hospital in the southeastern United States. Drawing on a mixed-method approach, we identify correlates of change acceptance and propose a set of recommendations for health care managers to foster acceptance of CPOE. Findings from physician surveys (n = 19) indicate that older physicians are less accepting of CPOE, but high-quality change communication may overcome resistance even among older physicians. With insights derived from the organizational change literature, findings bring to the fore a set of practices that managers can use to foster acceptance of CPOE. The thrust of these practices is that managers should make physicians active participants in fine-tuning CPOE within the unique needs and constraints of the local hospital setting.


Subject(s)
Attitude of Health Personnel , Medical Order Entry Systems/organization & administration , Attitude to Computers , Female , Humans , Job Satisfaction , Male , Medical Order Entry Systems/statistics & numerical data , Middle Aged , Physicians/psychology , Program Development
2.
Health Care Manage Rev ; 39(2): 164-73, 2014.
Article in English | MEDLINE | ID: mdl-23574748

ABSTRACT

BACKGROUND: Retention of nursing staff remains an important issue for health care managers. Turnover research has focused primarily on motivational and social factors as keys to retention, whereas the role of the physical work conditions has received considerably less attention. However, work design theory suggests that physical work conditions may be an important factor in fostering retention among nursing staff. PURPOSE: The aim of this study was to integrate work design theory with turnover process models to explore the influence of perceptions of physical work conditions on the development of turnover intentions among nursing staff. METHODS: Drawing on two samples of registered nurses working in cancer units in metropolitan hospitals in the southeastern United States, this study explores the impact of perceptions of physical work conditions on turnover intentions using ordinary least squares regression. Hypotheses are tested in Study 1 and replicated in Study 2. A measure of perceptions of physical work conditions is also developed and validated using exploratory (Study 1) and confirmatory (Study 2) factor analyses. FINDINGS: Perceptions of physical work conditions explain variance in turnover intentions above than that explained by motivational and social factors. Specifically, employee perceptions of noisy work conditions are found to significantly increase turnover intentions, whereas perceptions that work conditions facilitate tasks were found to significantly reduce turnover intentions. Perceptions of temperature and health hazard did not show significant effects. PRACTICE IMPLICATIONS: Results suggest that health care managers and scholars should re-examine the role of physical work conditions in the turnover process. Investments in upgrades that facilitate tasks may foster retention better than investments that simply improve employee comfort. Negative perceptions of work conditions may have no impact if they are considered a normal "part of the job," although negative perceptions of conditions that are viewed as under the organization's control may be important in creating a desire to leave.


Subject(s)
Nursing Staff, Hospital/statistics & numerical data , Personnel Turnover/statistics & numerical data , Workplace/standards , Adult , Female , Humans , Job Satisfaction , Male , Noise, Occupational/statistics & numerical data , Nursing Staff, Hospital/psychology , Occupational Exposure/statistics & numerical data , Professional Autonomy , Surveys and Questionnaires , Temperature , Workplace/statistics & numerical data
3.
J Nurs Adm ; 43(11): 557-61, 2013 Nov.
Article in English | MEDLINE | ID: mdl-24153195

ABSTRACT

As systems evolve over time, their natural tendency is to become increasingly more complex. Studies in the field of complex systems have generated new perspectives on the application of management strategies in health systems. Much of this research appears as a natural extension of the cross-disciplinary field of systems theory. In this article, the authors discuss the impact of complex system behavior on nurse workflow and its broader implications.


Subject(s)
Career Mobility , Nursing Staff, Hospital , Nursing Process , Systems Theory
4.
J Nurs Adm ; 42(2): 78-82, 2012 Feb.
Article in English | MEDLINE | ID: mdl-25734929

ABSTRACT

As systems evolve over time, their natural tendency is to become increasingly more complex. Studies in the field of complex systems have generated new perspectives on management in social organizations such as hospitals. Much of this research appears as a natural extension of the cross-disciplinary field of systems theory. This is the 20th in a series of articles applying complex systems science to the traditional management concepts of planning, organizing, directing, coordinating, and controlling. In this article, the authors discuss how nurse workflow is characteristic of complex adaptive systems and the need for caution when selecting a performance improvement method.


Subject(s)
Interprofessional Relations , Models, Nursing , Nurse Administrators/organization & administration , Nurse's Role , Nursing Staff, Hospital/organization & administration , Workflow , Cooperative Behavior , Humans , Nursing Administration Research , Organizational Innovation , Task Performance and Analysis , United States , Workload
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