Does @entity130 status and benefit status predict XXXX outcomes?

@entity1 @entity1643 @entity64 @entity158 @entity130
BACKGROUND: In New Zealand the @entity64 ( @entity64 ) is a state-funded insurance agency that accepts claims for @entity130 , including lumbar spine injuries. It is unknown whether @entity64 claim status (accepted, not accepted) affects @entity1643 ( @entity1643 ) outcomes, or whether benefit status (e.g., sickness, disability) further affects outcomes in @entity1 without @entity64 cover. AIMS: This study aimed to determine whether @entity64 claim and benefit status are likely to influence a range of outcomes for @entity1 with @entity1643 in New Zealand. METHODS: A prospective survey of @entity1643 @entity1 was performed (April 2008-October 2010). @entity64 claim status was recorded, and individuals without accepted claims indicated benefit status. Surveys were sent at multiple time points; @entity158 , functional limitation, psychological factors, and general health were assessed. Statistical analysis was undertaken using ANCOVA and ANOVA (p<0.05). RESULTS: In total, 168 @entity1 completed the study. Six-month measures showed individuals with no @entity64 claim for @entity1643 to overall have poorer outcomes (mental health, p=0.039; @entity158 , p=0.045; functional limitation, p=0.049); sub-group analysis (no @entity64 claim) between those with or without a benefit showed those on benefits to have significantly higher functional limitation (p<0.001), poorer physical health (p=0.002), greater @entity158 (p=0.027), and stronger fear avoidance behaviours for both work (p=0.047) and physical activity (p=0.35). CONCLUSION: Findings indicate individuals with accepted @entity64 claims for @entity1643 have significantly better outcomes than those without, and @entity1 on benefits with no accepted @entity64 claim for @entity1643 have even poorer outcomes.
