Sequence evaluation to evaluate labour market participation following vocational rehabilitation: an observational research amongst sufferers sick-listed with low again ache from a randomised scientific trial in Denmark.
BMJ Open. 2017 Jul 20;7(7):e015661
Authors: Lindholdt L, Labriola M, Nielsen CV, Horsbøl TA, Lund T
INTRODUCTION: The return-to-work (RTW) course of after long-term illness absence is usually advanced and lengthy and implies a number of shifts between totally different labour market states for the absentee. Customary strategies for analyzing RTW analysis usually depend on the evaluation of 1 consequence measure at a time, which won’t seize the numerous doable states and transitions the absentee can undergo. The aim of this research was to discover the potential added worth of sequence evaluation in complement to plain regression evaluation of a multidisciplinary RTW intervention amongst sufferers with low again ache (LBP).
METHODS: The research inhabitants consisted of 160 sufferers randomly allotted to both a hospital-based transient or a multidisciplinary intervention. Information on labour market participation following intervention had been obtained from a nationwide register and analysed in two methods: as a binary consequence expressed as lively or passive reduction at a 1-year follow-up and as 4 totally different classes for labour market participation. Logistic regression and sequence evaluation had been carried out.
RESULTS: The logistic regression evaluation confirmed no distinction in labour market participation for sufferers within the two teams after 1?12 months. Making use of sequence evaluation confirmed variations in subsequent labour market participation after 2?years after baseline in favour of the transient intervention group versus the multidisciplinary intervention group.
CONCLUSION: The research indicated that sequence evaluation might present added analytical worth as a complement to conventional regression evaluation in potential research of RTW amongst sufferers with LBP.
PMID: 28729315 [PubMed – indexed for MEDLINE]