Impact on Employee Productivity From Presenteeism and Absenteeism: Evidence From a Multinational Firm in Sri Lanka.
Identifieur interne : 000315 ( PubMed/Corpus ); précédent : 000314; suivant : 000316Impact on Employee Productivity From Presenteeism and Absenteeism: Evidence From a Multinational Firm in Sri Lanka.
Auteurs : Mario Fernando ; Peter Caputi ; Fred AshburySource :
- Journal of occupational and environmental medicine [ 1536-5948 ] ; 2017.
English descriptors
- KwdEn :
- Absenteeism, Adult, Age Factors, Caregivers (statistics & numerical data), Common Cold (economics), Common Cold (epidemiology), Depression (economics), Depression (epidemiology), Efficiency, Female, Health Surveys, Humans, Hypersensitivity (economics), Hypersensitivity (epidemiology), Influenza, Human (economics), Influenza, Human (epidemiology), Male, Middle Aged, Presenteeism (economics), Presenteeism (statistics & numerical data), Sex Factors, Sleep Initiation and Maintenance Disorders (economics), Sleep Initiation and Maintenance Disorders (epidemiology), Sri Lanka (epidemiology), Stress, Psychological (economics), Stress, Psychological (epidemiology).
- MESH :
- economics : Common Cold, Depression, Hypersensitivity, Influenza, Human, Presenteeism, Sleep Initiation and Maintenance Disorders, Stress, Psychological.
- epidemiology : Common Cold, Depression, Hypersensitivity, Influenza, Human, Sleep Initiation and Maintenance Disorders, Sri Lanka, Stress, Psychological.
- statistics & numerical data : Caregivers, Presenteeism.
- Absenteeism, Adult, Age Factors, Efficiency, Female, Health Surveys, Humans, Male, Middle Aged, Sex Factors.
Abstract
This study examines the effects of 13 psychological and physical health conditions on work productivity.
DOI: 10.1097/JOM.0000000000001060
PubMed: 28594704
Links to Exploration step
pubmed:28594704Le document en format XML
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School of Psychology, Faculty of Social Science, University of Wollongong, Wollongong, New South Wales, Australia (Drs Caputi, Ashbury); and Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada (Dr Ashbury).</nlm:affiliation></affiliation></author><author><name sortKey="Caputi, Peter" sort="Caputi, Peter" uniqKey="Caputi P" first="Peter" last="Caputi">Peter Caputi</name></author><author><name sortKey="Ashbury, Fred" sort="Ashbury, Fred" uniqKey="Ashbury F" first="Fred" last="Ashbury">Fred Ashbury</name></author></analytic><series><title level="j">Journal of occupational and environmental medicine</title><idno type="eISSN">1536-5948</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Absenteeism</term><term>Adult</term><term>Age Factors</term><term>Caregivers (statistics & numerical data)</term><term>Common Cold (economics)</term><term>Common Cold (epidemiology)</term><term>Depression (economics)</term><term>Depression (epidemiology)</term><term>Efficiency</term><term>Female</term><term>Health Surveys</term><term>Humans</term><term>Hypersensitivity (economics)</term><term>Hypersensitivity (epidemiology)</term><term>Influenza, Human (economics)</term><term>Influenza, Human (epidemiology)</term><term>Male</term><term>Middle Aged</term><term>Presenteeism (economics)</term><term>Presenteeism (statistics & numerical data)</term><term>Sex Factors</term><term>Sleep Initiation and Maintenance Disorders (economics)</term><term>Sleep Initiation and Maintenance Disorders (epidemiology)</term><term>Sri Lanka (epidemiology)</term><term>Stress, Psychological (economics)</term><term>Stress, Psychological (epidemiology)</term></keywords><keywords scheme="MESH" qualifier="economics" xml:lang="en"><term>Common Cold</term><term>Depression</term><term>Hypersensitivity</term><term>Influenza, Human</term><term>Presenteeism</term><term>Sleep Initiation and Maintenance Disorders</term><term>Stress, Psychological</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Common Cold</term><term>Depression</term><term>Hypersensitivity</term><term>Influenza, Human</term><term>Sleep Initiation and Maintenance Disorders</term><term>Sri Lanka</term><term>Stress, Psychological</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Caregivers</term><term>Presenteeism</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Absenteeism</term><term>Adult</term><term>Age Factors</term><term>Efficiency</term><term>Female</term><term>Health Surveys</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Sex Factors</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This study examines the effects of 13 psychological and physical health conditions on work productivity.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28594704</PMID><DateCompleted><Year>2018</Year><Month>04</Month><Day>27</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>19</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1536-5948</ISSN><JournalIssue CitedMedium="Internet"><Volume>59</Volume><Issue>7</Issue><PubDate><Year>2017</Year><Month>07</Month></PubDate></JournalIssue><Title>Journal of occupational and environmental medicine</Title><ISOAbbreviation>J. Occup. Environ. Med.</ISOAbbreviation></Journal><ArticleTitle>Impact on Employee Productivity From Presenteeism and Absenteeism: Evidence From a Multinational Firm in Sri Lanka.</ArticleTitle><Pagination><MedlinePgn>691-696</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1097/JOM.0000000000001060</ELocationID><Abstract><AbstractText Label="OBJECTIVE">This study examines the effects of 13 psychological and physical health conditions on work productivity.</AbstractText><AbstractText Label="METHODS">One hundred fifty-two staff at the headquarters of a Sri Lankan multinational firm completed a questionnaire asking whether they experienced 13 health conditions common in workplaces, and about their related absenteeism and presenteeism.</AbstractText><AbstractText Label="RESULTS">Most respondents (85.5%) reported absenteeism, presenteeism, or both. Among those reporting a health condition, 57.6% reported losing days due to absenteeism, and 69.5% reported losing additional days to presenteeism. Among those caring for a sick adult or child, 57.3% reported losing days due to absenteeism, and 36.5% reported losing additional days due to presenteeism. Overall productivity loss was 10.43 days each year, 3.95% of employee capacity, equating to about Sri Lanka Rupees 8 million (US$54,421) for all headquarters employees.</AbstractText><AbstractText Label="CONCLUSIONS">The health conditions' effects on productivity significantly increased employee costs.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Fernando</LastName><ForeName>Mario</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>School of Management, Operations and Marketing, Faculty of Business, University of Wollongong, Wollongong, New South Wales, Australia (Dr Fernando); School of Psychology, Faculty of Social Science, University of Wollongong, Wollongong, New South Wales, Australia (Drs Caputi, Ashbury); and Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada (Dr Ashbury).</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Caputi</LastName><ForeName>Peter</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Ashbury</LastName><ForeName>Fred</ForeName><Initials>F</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Occup Environ Med</MedlineTA><NlmUniqueID>9504688</NlmUniqueID><ISSNLinking>1076-2752</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000041" MajorTopicYN="Y">Absenteeism</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017028" MajorTopicYN="N">Caregivers</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003139" MajorTopicYN="N">Common Cold</DescriptorName><QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003863" MajorTopicYN="N">Depression</DescriptorName><QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004526" MajorTopicYN="Y">Efficiency</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006306" MajorTopicYN="N">Health Surveys</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006967" MajorTopicYN="N">Hypersensitivity</DescriptorName><QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000069597" MajorTopicYN="N">Presenteeism</DescriptorName><QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012737" MajorTopicYN="N">Sex Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007319" MajorTopicYN="N">Sleep Initiation and Maintenance Disorders</DescriptorName><QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013188" MajorTopicYN="N">Sri Lanka</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013315" MajorTopicYN="N">Stress, Psychological</DescriptorName><QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>6</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2018</Year><Month>4</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>6</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">28594704</ArticleId><ArticleId IdType="doi">10.1097/JOM.0000000000001060</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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