Literature DB >> 18362006

Assessment of workload using NASA Task Load Index in perianesthesia nursing.

Gloria Young1, Lyubov Zavelina, Vallire Hooper.   

Abstract

According to the Institute of Medicine (IOM), as many as 44,000 to 98,000 people in the United States die in hospitals every year due to medical errors. Multiple physiological and psychological factors can impact the health care provider's attention span, making medical errors more likely. Some of these factors include increased workload, fatigue, cognitive overload, ineffective interpersonal communications, and faulty information processing. Postanesthesia nurses, responsible for providing care to unstable patients emerging from anesthesia with multiple life-threatening conditions, must make critical decisions on a minute-by-minute basis. The current ASPAN Patient Classification/Recommended Staffing Guidelines does not adequately take into account varying care requirements among the patients. If a tool could be found that effectively evaluated staff's workload, ongoing assessment would be enhanced and resources better used. The National Aeronautics and Space Administration-Task Load Index (NASA-TLX), a multifaceted tool for evaluating perceptual (subjective) workload, has seen extensive applications and is widely regarded as the strongest tool available for reporting perceptions of workload. This article will survey various uses of the NASA-TLX and consider the potential uses for this tool in perianesthesia nursing.

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Year:  2008        PMID: 18362006     DOI: 10.1016/j.jopan.2008.01.008

Source DB:  PubMed          Journal:  J Perianesth Nurs        ISSN: 1089-9472            Impact factor:   1.084


  20 in total

1.  Early use of magnetic endoscopic imaging by novice colonoscopists: improved performance without increase in workload.

Authors:  Sylvain Coderre; John Anderson; Remy Rikers; Paul Dunckley; Karen Holbrook; Kevin McLaughlin
Journal:  Can J Gastroenterol       Date:  2010-12       Impact factor: 3.522

2.  MEASURING WORKLOAD OF ICU NURSES WITH A QUESTIONNAIRE SURVEY: THE NASA TASK LOAD INDEX (TLX).

Authors:  Peter Hoonakker; Pascale Carayon; Ayse Gurses; Roger Brown; Kerry McGuire; Adjhaporn Khunlertkit; James M Walker
Journal:  IIE Trans Healthc Syst Eng       Date:  2011-10-12

3.  Robotic assistance improves intracorporeal suturing performance and safety in the operating room while decreasing operator workload.

Authors:  Dimitrios Stefanidis; Fikre Wang; James R Korndorffer; J Bruce Dunne; Daniel J Scott
Journal:  Surg Endosc       Date:  2009-06-18       Impact factor: 4.584

4.  Training improves laparoscopic tasks performance and decreases operator workload.

Authors:  Jesse S L Hu; Jirong Lu; Wee Boon Tan; Davide Lomanto
Journal:  Surg Endosc       Date:  2015-07-15       Impact factor: 4.584

5.  Validation of the National Aeronautics and Space Administration Task Load Index as a tool to evaluate the learning curve for endoscopy training.

Authors:  Rachid Mohamed; Maitreyi Raman; John Anderson; Kevin McLaughlin; Alaa Rostom; Sylvain Coderre
Journal:  Can J Gastroenterol Hepatol       Date:  2014-03

6.  Changes in motor performance and mental workload during practice of reaching movements: a team dynamics perspective.

Authors:  Isabelle M Shuggi; Patricia A Shewokis; Jeffrey W Herrmann; Rodolphe J Gentili
Journal:  Exp Brain Res       Date:  2017-12-06       Impact factor: 1.972

7.  Exploring the use of high and low demand simulation for human performance assessment during multiorgan retrieval with the joint scrub practitioner.

Authors:  Gala Morozova; Amanda Martindale; Hugh Richards; John Stirling; Ian Currie
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2020-05-21

8.  Toward a better understanding of task demands, workload, and performance during physician-computer interactions.

Authors:  Lukasz M Mazur; Prithima R Mosaly; Carlton Moore; Elizabeth Comitz; Fei Yu; Aaron D Falchook; Michael J Eblan; Lesley M Hoyle; Gregg Tracton; Bhishamjit S Chera; Lawrence B Marks
Journal:  J Am Med Inform Assoc       Date:  2016-03-28       Impact factor: 4.497

9.  Age-related differences in gap detection: effects of task difficulty and cognitive ability.

Authors:  Kelly C Harris; Mark A Eckert; Jayne B Ahlstrom; Judy R Dubno
Journal:  Hear Res       Date:  2009-10-02       Impact factor: 3.208

10.  Are providers more likely to contribute to healthcare disparities under high levels of cognitive load? How features of the healthcare setting may lead to biases in medical decision making.

Authors:  Diana J Burgess
Journal:  Med Decis Making       Date:  2009-09-02       Impact factor: 2.583

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