Show simple item record

dc.rights.licenseCreative Commons Attribution 4.0 International License
dc.contributor.authorPrior, Susanen
dc.contributor.authorMaciver, Donalden
dc.contributor.authorAas, Randi W.en
dc.contributor.authorKirsh, Bonnieen
dc.contributor.authorLexen, Annikaen
dc.contributor.authorvan Niekerk, Lanaen
dc.contributor.authorIrvine-Fitzpatrick, Lindaen
dc.contributor.authorForsyth, Kirstyen
dc.identifier.citationPrior, S., Maciver, D., Aas, R. W., Kirsh, B., Lexen, A., van Niekerk, L., Irvine-Fitzpatrick, L. & Forsyth, K. (2020) An enhanced individual placement and support (IPS) intervention based on the Model of Human Occupation (MoHO); a prospective cohort study. BMC Psychiatry, 20:361.en
dc.descriptionSusan Prior - ORCID 0000-0003-3069-6961
dc.descriptionDonald Maciver - ORCID 0000-0002-6173-429X
dc.descriptionKirsty Forsyth - ORCID 0000-0002-6732-1699
dc.descriptionReplaced original VoR with updated VoR 2020-07-09
dc.description.abstractBackground: Employment is good for physical and mental health, however people with severe mental illness (SMI) are often excluded from employment. Standard Individual Placement and Support (IPS) is effective in supporting around 55% of people with SMI into employment or education. Current research considers enhancements to IPS to improve outcomes for those requiring more complex interventions. Clinicians need to better understand who will benefit from these enhanced IPS interventions. This study offers a new enhanced IPS intervention and an approach to predicting who may achieve successful outcomes.en
dc.description.abstractMethods: This prospective cohort study included people with SMI who participated in an enhanced IPS service and had prolonged absence from employment. Secondary data analysis was conducted of data gathered in routine clinical practice. Univariate analysis coupled with previous research and clinical consultation was used to select variables to be included in the initial model, followed by a backward stepwise approach to model building for the final multiple logistic regression model with an outcome of successful or unsuccessful goal attainment (employment or education).
dc.description.abstractResults: Sixty-three percent of participants in the enhanced IPS successfully attained employment or education. Significant relationships from bivariate analyses were identified between outcomes (employment or education) and seven psychosocial variables. Adapting Routines to Minimise Difficulties, Work Related Goals, and Living in an Area of Lesser Deprivation were found to be significant in predicting employment or education in the final multiple logistic regression model R2 = 0.16 (Hosmer-Lemeshow), 0.19 (Cox-Snell), 0.26 (Nagelkerke). Model χ2(7) = 41.38 p < .001.
dc.description.abstractConclusion: An enhanced IPS service had a 63% rate success in achieving employment or education, higher than comparable studies and provides an alternative to IPS-Lite and IPS-standard for more complex populations. Motivational and habitual psychosocial variables are helpful in predicting who may benefit from an enhanced IPS intervention supporting people after prolonged absence from employment.
dc.description.abstractTrial registration: NCT04083404 Registered 05 September 2019 (retrospectively registered).
dc.description.sponsorshipThis study was funded by the Scottish Government. The funding body had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.en
dc.relation.ispartofBMC Psychiatryen
dc.rights© The Author(s). 2020
dc.subjectSevere Mental Illnessen
dc.subjectEnhanced Individual Placement & Supporten
dc.subjectModel Of Human Occupationen
dc.titleAn enhanced individual placement and support (IPS) intervention based on the Model of Human Occupation (MoHO); a prospective cohort studyen
rioxxterms.typeJournal Article/Reviewen
qmu.authorPrior, Susanen
qmu.authorMaciver, Donalden
qmu.authorForsyth, Kirstyen
qmu.centreCentre for Applied Social Sciencesen

Files in this item


This item appears in the following Collection(s)

Show simple item record

Creative Commons Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International License