Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/56672
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dc.contributor.authorFarrell, Hayleyen
dc.contributor.authorCoventry, Williamen
dc.contributor.authorDunstan, Debraen
dc.date.accessioned2023-11-22T03:22:52Z-
dc.date.available2023-11-22T03:22:52Z-
dc.date.created2021-06-10-
dc.date.issued2022-02-03-
dc.identifier.urihttps://hdl.handle.net/1959.11/56672-
dc.descriptionPlease contact rune@une.edu.au if you require access to this thesis for the purpose of research or study.en
dc.description.abstract<p>Work plays an important role in people’s lives and, according to the World Health Organization, is one of the most powerful social determinants of health and wellbeing. For many individuals, the inability to return to work (RTW) after an injury or illness imposes significant personal and economic costs. While most workers RTW within a relatively short period of time, a small percentage of disability episodes are prolonged, disproportionately costly, and a significant socioeconomic burden on Western nations. In Australia, employers appoint RTW coordinators to manage the RTW process. Therefore, RTW coordinators are well positioned to play a central role in supporting injured workers to RTW. While numerous predictive and clinical decision support tools exist, none of these have been designed to be used by RTW coordinators, limiting their access to evidence-based best practices. The aim of this empirical work was to develop and validate a tool for RTW coordinators to assist them in the identification of workers at risk of prolonged work disability so that limited resources can be directed towards those most in need. Using theoretically derived and clinically meaningful risk factors, expert consultation, and multivariate statistical analysis, the return-to-work/case management inventory (RTW/CMI) was developed and validated. Part 1 of the RTW/CMI is a brief nine-item inventory that can be easily administered by RTW coordinators. The results demonstrated that the RTW/CMI has strong predictive accuracy discriminating between workers with low and high risk of prolonged work disability. While Part 1 of the inventory represents an effort to identify workers at high risk for long-term work disability, most importantly, based on an injured worker’s level of risk and need profile, parts 2 through 5 of the inventory guide appropriate resource allocation and service delivery to best support injured workers in their recovery and RTW. While future research will establish whether administering the RTW/CMI leads to improved outcomes for injured workers, the combined results of this thesis help to bridge the gap between research and application by empowering RTW coordinators to implement evidence-based actions early in the recovery process to ultimately reduce both the personal and socioeconomic burden associated with prolonged work disability.</p>en
dc.languageenen
dc.publisherUniversity of New England-
dc.relation.urihttps://hdl.handle.net/1959.11/56673en
dc.titleDevelopment and Validation of the Return-To-Work/Case Management Inventoryen
dc.typeThesis Doctoralen
local.contributor.firstnameHayleyen
local.contributor.firstnameWilliamen
local.contributor.firstnameDebraen
local.subject.for2008111705 Environmental and Occupational Health and Safetyen
local.subject.for2008170106 Health, Clinical and Counselling Psychologyen
local.subject.for2008170107 Industrial and Organisational Psychologyen
local.subject.seo2008920209 Mental Health Servicesen
local.subject.seo2008920410 Mental Healthen
local.hos.emailhospsych@une.edu.auen
local.thesis.passedPasseden
local.thesis.degreelevelDoctoralen
local.thesis.degreenameDoctor of Philosophy (Clinical Psychology) - PhD ClinPsychen
local.contributor.grantorUniversity of New England-
local.profile.schoolSchool of Psychologyen
local.profile.schoolSchool of Psychologyen
local.profile.schoolSchool of Psychologyen
local.profile.emailhpatrec2@une.edu.auen
local.profile.emailwcovent2@une.edu.auen
local.profile.emailddunstan@une.edu.auen
local.output.categoryT2en
local.access.restrictedto2025-02-03en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeArmidale, Australia-
local.contributor.lastnameFarrellen
local.contributor.lastnameCoventryen
local.contributor.lastnameDunstanen
dc.identifier.staffune-id:hpatrec2en
dc.identifier.staffune-id:wcovent2en
dc.identifier.staffune-id:ddunstanen
local.profile.orcid0000-0003-0864-5463en
local.profile.orcid0000-0002-0298-7393en
local.profile.roleauthoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:1959.11/56672en
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.thesis.bypublicationNoen
local.title.maintitleDevelopment and Validation of the Return-To-Work/Case Management Inventoryen
local.output.categorydescriptionT2 Thesis - Doctorate by Researchen
local.access.yearsrestricted3en
local.school.graduationSchool of Psychologyen
local.thesis.borndigitalYes-
local.search.authorFarrell, Hayleyen
local.search.supervisorCoventry, Williamen
local.search.supervisorDunstan, Debraen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.conferred2022-
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
Appears in Collections:School of Psychology
Thesis Doctoral
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