The Application of a Cognitive Engineering Work Analysis to the Issue of Patient Safety in a Nursing Domain

2.50
Hdl Handle:
http://hdl.handle.net/10755/158467
Type:
Presentation
Title:
The Application of a Cognitive Engineering Work Analysis to the Issue of Patient Safety in a Nursing Domain
Abstract:
The Application of a Cognitive Engineering Work Analysis to the Issue of Patient Safety in a Nursing Domain
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2005
Author:Dunn Lopez, Karen, MPH, RN
P.I. Institution Name:University of Iowa
Title:Graduate Research Assistant
Contact Address:College of Nursing, 50 Newton Road, Iowa City, IA, 52242, USA
Contact Telephone:630-455-1026
Co-Authors:Mary Kanak, PhDc, RN, Graduate Research Assistant; Gregory Gerling, MS, Graduate Research Assistant, Marita Titler, PhD, RN, FAAN, Professor
Background: Patient falls are considered preventable adverse events.
They present an unnecessary danger to patients, often cause injury, lead
to increased healthcare expenditures, and are a motive behind lawsuits.
Despite development of various fall prevention strategies, patients
continue to fall. Objective: The objective of this research was to conduct
a Cognitive Work Analysis (CWA), on an inpatient nursing unit to identify
and analyze the interplay between workers, patients, the physical
environment, social context, and work flow as it related to the risk of
patient falls. CWA is an engineering method that seeks to identify the
constraints that the environment and the processes impose on the worker in
order to reduce workplace error and improve productivity. Significance of
Research: No reported studies in the nursing literature have
comprehensively examined a nursing unit using cognitive engineering
methods. Methods: Both qualitative and quantitative data collection
methods were used. Qualitative methods included a field study of the
nursesÆ work processes and environment, a patient fall case study
investigation and a focus group. Quantitative methods included a time
motion study and the administration of National Aeronautics and Space
Administration Task Load Index (NASA-TLX). NASA-TLX assesses subjective
workload, a factor that has emerged as being increasingly important in
system evaluations. The data from all methods was used to develop a
hierarchy of the work domain. Discussion: A major strength of CWA is the
systematic examination of unique nursing work domains that promotes the
design of solutions that best fits the problem of interest and the
particular work domain being studied. The field of engineering can offer
guidance and experience in new techniques such as cognitive work analysis
that can set new standards for patient safety focused system analysis in
healthcare.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Midwest Nursing Research Society

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleThe Application of a Cognitive Engineering Work Analysis to the Issue of Patient Safety in a Nursing Domainen_GB
dc.identifier.urihttp://hdl.handle.net/10755/158467-
dc.description.abstract<table><tr><td colspan="2" class="item-title">The Application of a Cognitive Engineering Work Analysis to the Issue of Patient Safety in a Nursing Domain</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Midwest Nursing Research Society</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2005</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Dunn Lopez, Karen, MPH, RN</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Iowa</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Graduate Research Assistant</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">College of Nursing, 50 Newton Road, Iowa City, IA, 52242, USA</td></tr><tr class="item-phone"><td class="label">Contact Telephone:</td><td class="value">630-455-1026</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">kdlop1@comcast.net</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Mary Kanak, PhDc, RN, Graduate Research Assistant; Gregory Gerling, MS, Graduate Research Assistant, Marita Titler, PhD, RN, FAAN, Professor</td></tr><tr><td colspan="2" class="item-abstract">Background: Patient falls are considered preventable adverse events. <br/> They present an unnecessary danger to patients, often cause injury, lead <br/> to increased healthcare expenditures, and are a motive behind lawsuits. <br/> Despite development of various fall prevention strategies, patients <br/> continue to fall. Objective: The objective of this research was to conduct <br/> a Cognitive Work Analysis (CWA), on an inpatient nursing unit to identify <br/> and analyze the interplay between workers, patients, the physical <br/> environment, social context, and work flow as it related to the risk of <br/> patient falls. CWA is an engineering method that seeks to identify the <br/> constraints that the environment and the processes impose on the worker in <br/> order to reduce workplace error and improve productivity. Significance of <br/> Research: No reported studies in the nursing literature have <br/> comprehensively examined a nursing unit using cognitive engineering <br/> methods. Methods: Both qualitative and quantitative data collection <br/> methods were used. Qualitative methods included a field study of the <br/> nurses&AElig; work processes and environment, a patient fall case study <br/> investigation and a focus group. Quantitative methods included a time <br/> motion study and the administration of National Aeronautics and Space <br/> Administration Task Load Index (NASA-TLX). NASA-TLX assesses subjective <br/> workload, a factor that has emerged as being increasingly important in <br/> system evaluations. The data from all methods was used to develop a <br/> hierarchy of the work domain. Discussion: A major strength of CWA is the <br/> systematic examination of unique nursing work domains that promotes the <br/> design of solutions that best fits the problem of interest and the <br/> particular work domain being studied. The field of engineering can offer <br/> guidance and experience in new techniques such as cognitive work analysis <br/> that can set new standards for patient safety focused system analysis in <br/> healthcare.</td></tr></table>en_GB
dc.date.available2011-10-26T21:05:02Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T21:05:02Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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