Night-shift nurses and drowsy driving: A qualitative study.
Identifieur interne : 000210 ( Main/Exploration ); précédent : 000209; suivant : 000211Night-shift nurses and drowsy driving: A qualitative study.
Auteurs : Alec Smith [États-Unis] ; Anthony D. Mcdonald [États-Unis] ; Farzan Sasangohar [États-Unis]Source :
- International journal of nursing studies [ 1873-491X ] ; 2020.
Abstract
BACKGROUND
Drowsy driving following the night shift is persistent among nurses resulting in elevated rates of vehicle crashes and crash-related injuries and deaths. While considerable effort has been dedicated to the development of countermeasures, implementation of these countermeasures in nursing has lagged behind other shift work oriented industries. Developing effective countermeasures for drowsy driving in nurses requires a thorough characterization of nurse's perceptions of drowsy driving and potential mitigations.
OBJECTIVE
The objective of this research was to elicit night shift nurses' perceptions of drowsy driving, countermeasures, and educational and technological interventions.
DESIGN
Perceptions were elicited through a semi-structured interview protocol. The protocol design was driven by previously identified research gaps. Questions focused on four topics: perceptions of drowsy driving, current practices and methods to mitigate drowsiness during the shift and commute, preferences and expectations for training on drowsiness management, and, preferences and expectations for technological mitigations.
SETTING
The data collection took place at a large urban hospital in Texas, USA.
PARTICIPANTS
Thirty night-shift nurses were recruited with voluntary sampling. No nurses declined to participate after initially consenting. The participants were male and female nurses who currently worked a 12 hour night shift. The nurses had between 1 and more than 20 years of experience and worked in a variety of units.
METHOD
The interview recordings were transcribed by the research team and entered into a qualitative data analysis software. Transcripts were analyzed by two independent coders with a grounded theory approach to identify common themes and subthemes across participants.
FINDINGS
Feelings of drowsiness typically manifested immediately following the shift or during the post work commute. Nurses responded to drowsiness by engaging in multiple ineffective countermeasures (e.g., listening to music) and effective countermeasures (e.g., naps) were used sparingly. Experiences and mitigation methods traversed through the nurses' social network although they did not always alter behavior. Nurses were uncertain but enthusiastic about educational and technological interventions preferring practical training and auditory interactive alerts.
CONCLUSIONS
The findings suggest a strong need for real time drowsiness interventions during or immediately prior to nurses' post work commutes. Nurses' enthusiasm for training and technology to prevent drowsy driving suggests high levels of readiness and acceptance for such interventions. Future work should focus on the development and implementation of practical training and technological interventions for drowsy driving in nurses.
DOI: 10.1016/j.ijnurstu.2020.103600
PubMed: 32703687
Affiliations:
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Mcdonald</name><affiliation wicri:level="2"><nlm:affiliation>Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX 77843, USA. Electronic address: mcdonald@tamu.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX 77843</wicri:regionArea><placeName><region type="state">Texas</region></placeName></affiliation></author><author><name sortKey="Sasangohar, Farzan" sort="Sasangohar, Farzan" uniqKey="Sasangohar F" first="Farzan" last="Sasangohar">Farzan Sasangohar</name><affiliation wicri:level="2"><nlm:affiliation>Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX 77843, USA; Center for Outcomes Research, Houston Methodist, 6550 Fannin St., Houston, TX 77030, USA. 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Electronic address: alec.smith@tamu.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX 77843</wicri:regionArea><placeName><region type="state">Texas</region></placeName></affiliation></author><author><name sortKey="Mcdonald, Anthony D" sort="Mcdonald, Anthony D" uniqKey="Mcdonald A" first="Anthony D" last="Mcdonald">Anthony D. Mcdonald</name><affiliation wicri:level="2"><nlm:affiliation>Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX 77843, USA. Electronic address: mcdonald@tamu.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX 77843</wicri:regionArea><placeName><region type="state">Texas</region></placeName></affiliation></author><author><name sortKey="Sasangohar, Farzan" sort="Sasangohar, Farzan" uniqKey="Sasangohar F" first="Farzan" last="Sasangohar">Farzan Sasangohar</name><affiliation wicri:level="2"><nlm:affiliation>Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX 77843, USA; Center for Outcomes Research, Houston Methodist, 6550 Fannin St., Houston, TX 77030, USA. Electronic address: sasangohar@tamu.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX 77843, USA; Center for Outcomes Research, Houston Methodist, 6550 Fannin St., Houston, TX 77030</wicri:regionArea><placeName><region type="state">Texas</region></placeName></affiliation></author></analytic><series><title level="j">International journal of nursing studies</title><idno type="eISSN">1873-491X</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Drowsy driving following the night shift is persistent among nurses resulting in elevated rates of vehicle crashes and crash-related injuries and deaths. While considerable effort has been dedicated to the development of countermeasures, implementation of these countermeasures in nursing has lagged behind other shift work oriented industries. Developing effective countermeasures for drowsy driving in nurses requires a thorough characterization of nurse's perceptions of drowsy driving and potential mitigations.</p></div><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b></p><p>The objective of this research was to elicit night shift nurses' perceptions of drowsy driving, countermeasures, and educational and technological interventions.</p></div><div type="abstract" xml:lang="en"><p><b>DESIGN</b></p><p>Perceptions were elicited through a semi-structured interview protocol. The protocol design was driven by previously identified research gaps. Questions focused on four topics: perceptions of drowsy driving, current practices and methods to mitigate drowsiness during the shift and commute, preferences and expectations for training on drowsiness management, and, preferences and expectations for technological mitigations.</p></div><div type="abstract" xml:lang="en"><p><b>SETTING</b></p><p>The data collection took place at a large urban hospital in Texas, USA.</p></div><div type="abstract" xml:lang="en"><p><b>PARTICIPANTS</b></p><p>Thirty night-shift nurses were recruited with voluntary sampling. No nurses declined to participate after initially consenting. The participants were male and female nurses who currently worked a 12 hour night shift. The nurses had between 1 and more than 20 years of experience and worked in a variety of units.</p></div><div type="abstract" xml:lang="en"><p><b>METHOD</b></p><p>The interview recordings were transcribed by the research team and entered into a qualitative data analysis software. Transcripts were analyzed by two independent coders with a grounded theory approach to identify common themes and subthemes across participants.</p></div><div type="abstract" xml:lang="en"><p><b>FINDINGS</b></p><p>Feelings of drowsiness typically manifested immediately following the shift or during the post work commute. Nurses responded to drowsiness by engaging in multiple ineffective countermeasures (e.g., listening to music) and effective countermeasures (e.g., naps) were used sparingly. Experiences and mitigation methods traversed through the nurses' social network although they did not always alter behavior. Nurses were uncertain but enthusiastic about educational and technological interventions preferring practical training and auditory interactive alerts.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>The findings suggest a strong need for real time drowsiness interventions during or immediately prior to nurses' post work commutes. Nurses' enthusiasm for training and technology to prevent drowsy driving suggests high levels of readiness and acceptance for such interventions. Future work should focus on the development and implementation of practical training and technological interventions for drowsy driving in nurses.</p></div></front></TEI><pubmed><MedlineCitation Status="In-Process" Owner="NLM"><PMID Version="1">32703687</PMID><DateRevised><Year>2020</Year><Month>11</Month><Day>23</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1873-491X</ISSN><JournalIssue CitedMedium="Internet"><Volume>112</Volume><PubDate><Year>2020</Year><Month>Dec</Month></PubDate></JournalIssue><Title>International journal of nursing studies</Title><ISOAbbreviation>Int J Nurs Stud</ISOAbbreviation></Journal><ArticleTitle>Night-shift nurses and drowsy driving: A qualitative study.</ArticleTitle><Pagination><MedlinePgn>103600</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0020-7489(20)30085-7</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.ijnurstu.2020.103600</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Drowsy driving following the night shift is persistent among nurses resulting in elevated rates of vehicle crashes and crash-related injuries and deaths. While considerable effort has been dedicated to the development of countermeasures, implementation of these countermeasures in nursing has lagged behind other shift work oriented industries. Developing effective countermeasures for drowsy driving in nurses requires a thorough characterization of nurse's perceptions of drowsy driving and potential mitigations.</AbstractText><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">The objective of this research was to elicit night shift nurses' perceptions of drowsy driving, countermeasures, and educational and technological interventions.</AbstractText><AbstractText Label="DESIGN" NlmCategory="METHODS">Perceptions were elicited through a semi-structured interview protocol. The protocol design was driven by previously identified research gaps. Questions focused on four topics: perceptions of drowsy driving, current practices and methods to mitigate drowsiness during the shift and commute, preferences and expectations for training on drowsiness management, and, preferences and expectations for technological mitigations.</AbstractText><AbstractText Label="SETTING" NlmCategory="METHODS">The data collection took place at a large urban hospital in Texas, USA.</AbstractText><AbstractText Label="PARTICIPANTS" NlmCategory="METHODS">Thirty night-shift nurses were recruited with voluntary sampling. No nurses declined to participate after initially consenting. The participants were male and female nurses who currently worked a 12 hour night shift. The nurses had between 1 and more than 20 years of experience and worked in a variety of units.</AbstractText><AbstractText Label="METHOD" NlmCategory="METHODS">The interview recordings were transcribed by the research team and entered into a qualitative data analysis software. Transcripts were analyzed by two independent coders with a grounded theory approach to identify common themes and subthemes across participants.</AbstractText><AbstractText Label="FINDINGS" NlmCategory="RESULTS">Feelings of drowsiness typically manifested immediately following the shift or during the post work commute. Nurses responded to drowsiness by engaging in multiple ineffective countermeasures (e.g., listening to music) and effective countermeasures (e.g., naps) were used sparingly. Experiences and mitigation methods traversed through the nurses' social network although they did not always alter behavior. Nurses were uncertain but enthusiastic about educational and technological interventions preferring practical training and auditory interactive alerts.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The findings suggest a strong need for real time drowsiness interventions during or immediately prior to nurses' post work commutes. Nurses' enthusiasm for training and technology to prevent drowsy driving suggests high levels of readiness and acceptance for such interventions. Future work should focus on the development and implementation of practical training and technological interventions for drowsy driving in nurses.</AbstractText><CopyrightInformation>Copyright © 2020. Published by Elsevier Ltd.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Smith</LastName><ForeName>Alec</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX 77843, USA. Electronic address: alec.smith@tamu.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>McDonald</LastName><ForeName>Anthony D</ForeName><Initials>AD</Initials><AffiliationInfo><Affiliation>Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX 77843, USA. 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Mcdonald</name><name sortKey="Sasangohar, Farzan" sort="Sasangohar, Farzan" uniqKey="Sasangohar F" first="Farzan" last="Sasangohar">Farzan Sasangohar</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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