Linsey M. Barker
University of Missouri
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Featured researches published by Linsey M. Barker.
Journal of Advanced Nursing | 2011
Linsey M. Barker; Maury A. Nussbaum
AIMS This paper is a report of a study of perceived levels of mental, physical and total fatigue, and also acute and chronic fatigue states, among registered nurses. Relationships between dimensions of fatigue and performance were investigated, as were differences in fatigue across levels of several demographic and work environment variables. BACKGROUND Fatigue is a factor that has been linked to performance decrements in healthcare workers. As a result of the nature of their work, nurses may be particularly susceptible to multiple dimensions of fatigue, and their performance is closely linked to patient safety. METHODS An online survey was used to measure mental, physical, and total fatigue dimensions, acute and chronic fatigue states, and performance. Participants were recruited via convenience sampling in cooperation with professional nursing organizations; 745 registered nurses completed the survey between February 2008 and April 2009. RESULTS Reported mental fatigue levels were higher than physical fatigue levels, and acute fatigue levels were higher than chronic fatigue levels. All fatigue dimensions and states were negatively correlated with perceived performance. Longer shift lengths and hours worked per week were associated with increases in physical and total fatigue levels. Mental, physical and total fatigue levels also differed with shift schedule. CONCLUSIONS Fatigue levels were negatively correlated with performance, further supporting the role of fatigue in nurse performance. Work environment variables were strongly associated with differences in perceived levels of fatigue. By altering the work environment, it may thus be possible to reduce fatigue levels and the rates of medical errors.
Journal of Telemedicine and Telecare | 2008
David Brennan; Linsey M. Barker
Summary Telemedicine services must be designed and implemented with the users in mind. When conducting telerehabilitation, factors such as age, education and technology experience must be taken into account. In addition, telerehabilitation must also accommodate a range of potential patient impairments, including deficits in language, cognition, motor function, vision and voice. Telerehabilitation technology and treatment environments should adhere to universal design standards so as to be accessible, efficient, usable and understandable to all. This will result in improved access to a wider range of telerehabilitation services that will facilitate and enhance the rehabilitative treatment and recovery of people living with varying levels of injury, impairment and disability.
Ergonomics | 2011
Linsey M. Barker; Maury A. Nussbaum
Fatigue is associated with increased rates of medical errors and healthcare worker injuries, yet existing research in this sector has not considered multiple dimensions of fatigue simultaneously. This study evaluated hypothesised causal relationships between mental and physical fatigue and performance. High and low levels of mental and physical fatigue were induced in 16 participants during simulated nursing work tasks in a laboratory setting. Task-induced changes in fatigue dimensions were quantified using both subjective and objective measures, as were changes in performance on physical and mental tasks. Completing the simulated work tasks increased total fatigue, mental fatigue and physical fatigue in all experimental conditions. Higher physical fatigue adversely affected measures of physical and mental performance, whereas higher mental fatigue had a positive effect on one measure of mental performance. Overall, these results suggest causal effects between manipulated levels of mental and physical fatigue and task-induced changes in mental and physical performance. Statement of Relevance: Nurse fatigue and performance has implications for patient and provider safety. Results from this study demonstrate the importance of a multidimensional view of fatigue in understanding the causal relationships between fatigue and performance. The findings can guide future work aimed at predicting fatigue-related performance decrements and designing interventions.
Journal for Healthcare Quality | 2012
Kalyan S. Pasupathy; Linsey M. Barker
&NA; Performance of nurses has a direct effect on the quality and safety of care that is delivered. Fatigue has been identified as a factor that leads to performance decrements in healthcare workers, especially nurses. Determining associations between dimensions of fatigue and performance is imperative to better understanding fatigue in nurses and the potential implications for both patient and provider safety. This article identifies associations between ranges of fatigue levels and significant differences in perceived performance, and analyzes interactions between fatigue dimensions in relation to perceived performance scores. Overall, mental fatigue tended to have higher perceived performance decrements than physical and total fatigue in the highest fatigue ranges. As physical fatigue begins to develop in nurses, physical exertion rather than discomfort is more critical to perceived performance. As acute fatigue levels increase, perceived performance levels continue to decrease, whereas the role of chronic fatigue is relatively constant. Minimizing the development of acute fatigue may help in maintaining higher performance levels. The findings from this study provide valuable information in quantifying the changes in perceived performance with regard to specific fatigue levels, as well as an initial understanding of how the individual dimensions and states of fatigue vary in their association with perceived performance decrements.
54th Human Factors and Ergonomics Society Annual Meeting 2010, HFES 2010 | 2010
Linsey M. Barker; Kalyan S. Pasupathy
Fatigue is a factor that affects nurse performance in the workplace. Previous research has investigated the relationships between work system parameters and fatigue; however, no study has considered multiple work system parameters simultaneously, and how they affect multiple dimensions of fatigue. This study used Chi-Squared Automatic Interaction Detection (CHAID) to mine work system parameters and their multiple interactions on perceptions of mental, physical, and total fatigue dimensions in registered nurses. Results showed that multiple work system parameters were associated with changes in fatigue levels across mental, physical, and total fatigue dimensions. These findings expand our understanding of the relationships between work system parameters and fatigue and provide valuable information to improve the design of nursing work systems, in order to retain qualified nursing personnel and ultimately improve both patient- and provider safety.
international conference on e-health networking, applications and services | 2011
Kalyan S. Pasupathy; Karl M. Kochendorfer; Gordon D. Brown; Lanis L. Hicks; Linsey M. Barker; Ricky Leung
Patient-Centered Medical Home is a care delivery model to transform how primary care is delivered in the United States. The information technology revolution has brought about several advancements and solutions for medicine and care delivery, and medical homes are no exception to this. Traditionally, such information technology solutions tend to be isolated in development and fragmented in implementation. However, it is only through a robust decision support system that these medical homes can in fact provide truly coordinated and patient-centered care. The paper describes preliminary work that has been completed at the University of Missouri Health System and next steps in achieving high quality care delivery through a decision support system implementation.
Telemedicine Journal and E-health | 2004
David M. Brennan; Amy C. Georgeadis; Christine Baron; Linsey M. Barker
Archives of Clinical Neuropsychology | 2007
Alison N. Cernich; David M. Brennana; Linsey M. Barker; Joseph Bleiberg
International Journal of Nursing Studies | 2009
Sunwook Kim; Linsey M. Barker; Bochen Jia; Michael J. Agnew; Maury A. Nussbaum
Archive | 2011
Mary E. Burford; Alison E. Yeck; Johnny A. Tucker; Linsey M. Barker; Kalyan S. Pasupathy