Computer-assisted resilience training to prepare healthcare workers for pandemic influenza: a randomized trial of the optimal dose of training.
Identifieur interne : 000683 ( Main/Exploration ); précédent : 000682; suivant : 000684Computer-assisted resilience training to prepare healthcare workers for pandemic influenza: a randomized trial of the optimal dose of training.
Auteurs : Robert G. Maunder [Canada] ; William J. Lancee ; Reet Mae ; Leslie Vincent ; Nathalie Peladeau ; Mary Agnes Beduz ; Jonathan J. Hunter ; Molyn LeszczSource :
- BMC health services research [ 1472-6963 ] ; 2010.
Descripteurs français
- KwdFr :
- Absentéisme (MeSH), Adaptation psychologique (MeSH), Analyse en intention de traitement (MeSH), Canada (MeSH), Enseignement assisté par ordinateur (méthodes), Facteurs temps (MeSH), Grippe humaine (prévention et contrôle), Grippe humaine (épidémiologie), Humains (MeSH), Pandémies (MeSH), Personnel hospitalier (enseignement et éducation), Personnel hospitalier (psychologie), Planification des mesures d'urgence en cas de catastrophe (MeSH), Programme d'études (MeSH), Stress psychologique (prévention et contrôle).
- MESH :
- enseignement et éducation : Personnel hospitalier.
- méthodes : Enseignement assisté par ordinateur.
- prévention et contrôle : Grippe humaine, Stress psychologique.
- psychologie : Personnel hospitalier.
- épidémiologie : Grippe humaine.
- Absentéisme, Adaptation psychologique, Analyse en intention de traitement, Canada, Facteurs temps, Humains, Pandémies, Planification des mesures d'urgence en cas de catastrophe, Programme d'études.
- Wicri :
- geographic : Canada.
English descriptors
- KwdEn :
- Absenteeism (MeSH), Adaptation, Psychological (MeSH), Canada (MeSH), Computer-Assisted Instruction (methods), Curriculum (MeSH), Disaster Planning (MeSH), Humans (MeSH), Influenza, Human (epidemiology), Influenza, Human (prevention & control), Intention to Treat Analysis (MeSH), Pandemics (MeSH), Personnel, Hospital (education), Personnel, Hospital (psychology), Stress, Psychological (prevention & control), Time Factors (MeSH).
- MESH :
- geographic : Canada.
- education : Personnel, Hospital.
- epidemiology : Influenza, Human.
- methods : Computer-Assisted Instruction.
- prevention & control : Influenza, Human, Stress, Psychological.
- psychology : Personnel, Hospital.
- Absenteeism, Adaptation, Psychological, Curriculum, Disaster Planning, Humans, Intention to Treat Analysis, Pandemics, Time Factors.
Abstract
BACKGROUND
Working in a hospital during an extraordinary infectious disease outbreak can cause significant stress and contribute to healthcare workers choosing to reduce patient contact. Psychological training of healthcare workers prior to an influenza pandemic may reduce stress-related absenteeism, however, established training methods that change behavior and attitudes are too resource-intensive for widespread use. This study tests the feasibility and effectiveness of a less expensive alternative - an interactive, computer-assisted training course designed to build resilience to the stresses of working during a pandemic.
METHODS
A "dose-finding" study compared pre-post changes in three different durations of training. We measured variables that are likely to mediate stress-responses in a pandemic before and after training: confidence in support and training, pandemic-related self-efficacy, coping style and interpersonal problems.
RESULTS
158 hospital workers took the course and were randomly assigned to the short (7 sessions, median cumulative duration 111 minutes), medium (12 sessions, 158 minutes) or long (17 sessions, 223 minutes) version. Using an intention-to-treat analysis, the course was associated with significant improvements in confidence in support and training, pandemic self-efficacy and interpersonal problems. Participants who under-utilized coping via problem-solving or seeking support or over-utilized escape-avoidance experienced improved coping. Comparison of doses showed improved interpersonal problems in the medium and long course but not in the short course. There was a trend towards higher drop-out rates with longer duration of training.
CONCLUSIONS
Computer-assisted resilience training in healthcare workers appears to be of significant benefit and merits further study under pandemic conditions. Comparing three "doses" of the course suggested that the medium course was optimal.
DOI: 10.1186/1472-6963-10-72
PubMed: 20307302
PubMed Central: PMC2851711
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Psychological training of healthcare workers prior to an influenza pandemic may reduce stress-related absenteeism, however, established training methods that change behavior and attitudes are too resource-intensive for widespread use. This study tests the feasibility and effectiveness of a less expensive alternative - an interactive, computer-assisted training course designed to build resilience to the stresses of working during a pandemic.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>A "dose-finding" study compared pre-post changes in three different durations of training. We measured variables that are likely to mediate stress-responses in a pandemic before and after training: confidence in support and training, pandemic-related self-efficacy, coping style and interpersonal problems.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>158 hospital workers took the course and were randomly assigned to the short (7 sessions, median cumulative duration 111 minutes), medium (12 sessions, 158 minutes) or long (17 sessions, 223 minutes) version. Using an intention-to-treat analysis, the course was associated with significant improvements in confidence in support and training, pandemic self-efficacy and interpersonal problems. Participants who under-utilized coping via problem-solving or seeking support or over-utilized escape-avoidance experienced improved coping. Comparison of doses showed improved interpersonal problems in the medium and long course but not in the short course. There was a trend towards higher drop-out rates with longer duration of training.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>Computer-assisted resilience training in healthcare workers appears to be of significant benefit and merits further study under pandemic conditions. Comparing three "doses" of the course suggested that the medium course was optimal.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">20307302</PMID><DateCompleted><Year>2012</Year><Month>06</Month><Day>20</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1472-6963</ISSN><JournalIssue CitedMedium="Internet"><Volume>10</Volume><PubDate><Year>2010</Year><Month>Mar</Month><Day>22</Day></PubDate></JournalIssue><Title>BMC health services research</Title><ISOAbbreviation>BMC Health Serv Res</ISOAbbreviation></Journal><ArticleTitle>Computer-assisted resilience training to prepare healthcare workers for pandemic influenza: a randomized trial of the optimal dose of training.</ArticleTitle><Pagination><MedlinePgn>72</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1472-6963-10-72</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Working in a hospital during an extraordinary infectious disease outbreak can cause significant stress and contribute to healthcare workers choosing to reduce patient contact. Psychological training of healthcare workers prior to an influenza pandemic may reduce stress-related absenteeism, however, established training methods that change behavior and attitudes are too resource-intensive for widespread use. This study tests the feasibility and effectiveness of a less expensive alternative - an interactive, computer-assisted training course designed to build resilience to the stresses of working during a pandemic.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">A "dose-finding" study compared pre-post changes in three different durations of training. We measured variables that are likely to mediate stress-responses in a pandemic before and after training: confidence in support and training, pandemic-related self-efficacy, coping style and interpersonal problems.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">158 hospital workers took the course and were randomly assigned to the short (7 sessions, median cumulative duration 111 minutes), medium (12 sessions, 158 minutes) or long (17 sessions, 223 minutes) version. Using an intention-to-treat analysis, the course was associated with significant improvements in confidence in support and training, pandemic self-efficacy and interpersonal problems. Participants who under-utilized coping via problem-solving or seeking support or over-utilized escape-avoidance experienced improved coping. Comparison of doses showed improved interpersonal problems in the medium and long course but not in the short course. There was a trend towards higher drop-out rates with longer duration of training.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Computer-assisted resilience training in healthcare workers appears to be of significant benefit and merits further study under pandemic conditions. Comparing three "doses" of the course suggested that the medium course was optimal.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Maunder</LastName><ForeName>Robert G</ForeName><Initials>RG</Initials><AffiliationInfo><Affiliation>Mount Sinai Hospital, Toronto, Ontario, Canada. rmaunder@mtsinai.on.ca</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lancee</LastName><ForeName>William J</ForeName><Initials>WJ</Initials></Author><Author ValidYN="Y"><LastName>Mae</LastName><ForeName>Reet</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Vincent</LastName><ForeName>Leslie</ForeName><Initials>L</Initials></Author><Author ValidYN="Y"><LastName>Peladeau</LastName><ForeName>Nathalie</ForeName><Initials>N</Initials></Author><Author ValidYN="Y"><LastName>Beduz</LastName><ForeName>Mary Agnes</ForeName><Initials>MA</Initials></Author><Author ValidYN="Y"><LastName>Hunter</LastName><ForeName>Jonathan J</ForeName><Initials>JJ</Initials></Author><Author ValidYN="Y"><LastName>Leszcz</LastName><ForeName>Molyn</ForeName><Initials>M</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>83139</GrantID><Agency>Canadian Institutes of Health Research</Agency><Country>Canada</Country></Grant><Grant><GrantID>PAN-83139</GrantID><Agency>Canadian Institutes of Health Research</Agency><Country>Canada</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016449">Randomized Controlled Trial</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2010</Year><Month>03</Month><Day>22</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Health Serv Res</MedlineTA><NlmUniqueID>101088677</NlmUniqueID><ISSNLinking>1472-6963</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="CommentIn"><RefSource>Ir Med J. 2020 Apr 03;113(4):51</RefSource><PMID Version="1">32268045</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D000041" MajorTopicYN="Y">Absenteeism</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000223" MajorTopicYN="N">Adaptation, Psychological</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002170" MajorTopicYN="N" Type="Geographic">Canada</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003194" MajorTopicYN="N">Computer-Assisted Instruction</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003479" MajorTopicYN="N">Curriculum</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004189" MajorTopicYN="N">Disaster Planning</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D057194" MajorTopicYN="N">Intention to Treat Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="Y">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010564" MajorTopicYN="N">Personnel, Hospital</DescriptorName><QualifierName UI="Q000193" MajorTopicYN="Y">education</QualifierName><QualifierName UI="Q000523" 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Hunter</name><name sortKey="Lancee, William J" sort="Lancee, William J" uniqKey="Lancee W" first="William J" last="Lancee">William J. Lancee</name><name sortKey="Leszcz, Molyn" sort="Leszcz, Molyn" uniqKey="Leszcz M" first="Molyn" last="Leszcz">Molyn Leszcz</name><name sortKey="Mae, Reet" sort="Mae, Reet" uniqKey="Mae R" first="Reet" last="Mae">Reet Mae</name><name sortKey="Peladeau, Nathalie" sort="Peladeau, Nathalie" uniqKey="Peladeau N" first="Nathalie" last="Peladeau">Nathalie Peladeau</name><name sortKey="Vincent, Leslie" sort="Vincent, Leslie" uniqKey="Vincent L" first="Leslie" last="Vincent">Leslie Vincent</name></noCountry><country name="Canada"><noRegion><name sortKey="Maunder, Robert G" sort="Maunder, Robert G" uniqKey="Maunder R" first="Robert G" last="Maunder">Robert G. Maunder</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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