Predictors of Recovery and Legal Representation in a Compensation Setting 12 Months Post Injury the Whiplash Outcome Study Petrina Casey ACHRF 2013

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ACHRF 2013

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  • Petrina Casey [PhD candidate], Rehabilitation Studies Unit, Sydney Medical School Northern, University of Sydney, Sydney, NSW.

    [Investigators : P Casey, Prof Ian D Cameron, Dr Anne Marie Feyer ]

    Predictors of recovery and legal representation in a

    compensation setting 12 months post injury: The

    Whiplash Outcome Study [WOS]

  • Executive Summary

    At 12 months post injury

    50% of study population remained unrecovered

    Physical and Mental Health [SF36], whilst significantly improved remained below the Australian population

    Of those in paid employment 28% continued to have some work incapacity

    Legal representation was not associated with poorer health [SF36] or disability [FRI]

    Higher levels of disability and initial effect on work capacity associated with legal representation

  • Background to WOS and Study Design

    Prospective cohort study: 246 people with Whiplash who lodged a claim in the NSW CTP compensation scheme from Nov 2007- June 2009

    Recruitment: Participants were identified through an Insurance database

    Eligibility criteria: Whiplash, > 18 years, no interpreter required, no concurrent workers compensation claim, < 3 mths post injury

    Data Collection: Baseline, 12 months and 24 months via postal questionnaire

    Demographic, socio-economic, insurance claim information and standardised health measures[SF36,FRI,PCS], GP WAD classification at baseline

    Study Aim: Understand predictors of health and insurance outcomes in a WAD population

    Ethics: Royal Rehabilitation Centre Sydney and University of Sydney Ethics Committees.

  • WOS Population

    Study Factor Variable N Category % Mean

    (SD)

    Demographic Age, SD 246 4315

    Gender 246 Female 78%

    Socio-Demographic Country of Birth 246 Australia 68%

    Other 32%

    Weekly Household Income 234 $A599 or less 27%

    > $A600 73%

    Education Level 244 No Secondary

    Education 23%

    Post Secondary

    Education 77%

    Married Status 246 Married 54%

    Other language Spoken 246 Yes 26%

    Insurance Factors Legally Represented 246 Yes 11%

    Previous Claim 174 Yes 29%

  • WOS Population cont.

    Study Factor Variable N Category % Mean (SD)

    Work Factors Self Employed 246 Yes 15%

    Usual Work Status 246 Full time Paid Work 52%

    Part Time Paid Work 21%

    Other 28%

    Profession 232 Blue Collar 13%

    White Collar 63%

    Unemployed 24%

    Health Risk Factors Regular Smoker 243 Yes 12%

    Weekly Alcohol intake 244 Non Drinker 53%

    1 10 Drinks 44%

    BMI, SD 238 Underweight 2% 26.09 6

    Normal Weight 47%

    Overweight [25-29.9] 32%

    Obese 30 19%

    Injury Factors GP WAD Grade 195 Grade 0 1%

    Grade I 23%

    Grade II 74%

    Grade III 2%

    Hospital Attendance 244 Attended 39%

    Not Attended 61%

  • 12 Month Follow Up

    Specific aims of the 12 month data analysis:

    [86% follow up rate - response received 373 days post injury].

    Understand health status at 12 months and change in health status from baseline data;

    Identify the predictors of recovery from WAD at 12 months;

    Understand the profile of those engaging a lawyer, and identify predictors of engaging at lawyer 12 months

  • Changes over study period

    Recovery, Workability, insurance factors

    Study Factor Variable

    Baseline

    (n=246)

    12 Month

    (n=212)

    Participation Rate 100% 86%

    Recovery [ 25 on FRI] 23% 47%

    Work Factors Workability Affected* 38% 28%

    Insurance Factors Claim Finalised 9% 52%

    Legally Represented 11% 25%

    *Workability Affected - includes those who had returned to work but in a reduced capacity, those who had to change jobs and those unable to work at all.

  • Health Status and change over time

    8

    0 50 100

    Physical Functioning

    Role - Phyisical

    Bodily Pain

    General Health

    Vitality

    Social Functioning

    Role- Emotional

    Mental Health

    Physical ComponentScore

    Mental ComponentScore

    Australian Population Norms

    SF36 Scores at 12 months

    SF36 Scores at baseline

    SF 36 scores at baseline and 12 months

    compared with Australian population data

    Health

    Measure

    Mean Change in

    score (SD) t-statistic p-value

    FRI 10.32 16 9.491

  • Comparison of Recovered and Unrecovered groups

    9

    Poorer health on all measures used [SF36, PCS, SF36, MCS, PCS] at baseline and at

    12 months post injury

    Older

    Language other than English spoken at home

    Less people earning >$600 p/w

    More obese people

    More smokers

    Work capacity affected at baseline

    Insurance Factors

    Unrecovered Group at 12 months*

    Health, demographics and work

    More had a previous claim

    Less had closed claim at 3 mths

    More had a lawyer at claim lodgement

    *Only significant differences shown, p

  • Independent Predictors of non recovery

    10

    The significant independent predictors of disability [measured by FRI] were

    helplessness [PCS scale]

    having had a prior compensation claim, and

    older age

    Linear Regression Model: r 2=0.450, p

  • Comparison of Group with a Lawyer and without a Lawyer

    11

    Group With Legal Representation at 12 months*

    *Only significant differences shown, p$600 p/w

    More blue collar and unemployed people

    More smokers

    Attended Hospital

    Work capacity affected at baseline

    More had a previous claim

    Less had closed claim at 3 mths

    Longer time to claim lodgement

    Legal representation increased

    from 11% to 25% at 12 mths

    Legal representation means

    engaging a lawyer to assist with

    the claim

  • Independent Predictors of having a Lawyer

    12

    The significant independent predictors of having a lawyer at 12 months were

    higher initial levels of disability [FRI]

    Initial work incapacity

    Logistic Regression , p

  • Discussion

    Usefulness of PCS [Helplessness subscale] in identifying those at risk of prolonged disability

    High work incapacity rates [1 in 4] highlight the need for a return to work [RTW] focus in traffic

    crash schemes.

    Lawyer retention was not associated with poorer health outcomes

    Higher disability levels and work incapacity was associated with lawyer retention

  • Discussion

    Profile of people who consult lawyers within compensation schemes need to better address the reverse causality issue

    Data suggests:

    lower SES profile

    More males

    Blue collar workers

    Higher levels of disability

    More likely to have previous claim

  • Strengths and Limitations

    Strengths

    Prospective study - 86% follow up rate at 12months

    Comprehensive comparison of those recovered and unrecovered those legally represented and those not

    Broad range of health measures used

    Compensation factor of interest - lawyer retention has been defined and collected in such a way to be used as a predictor

    and dependant variable.

    Limitations

    The study only includes people who claimed compensation

    Limited information on co-morbidities

    No information on pre-injury health status

  • Acknowledgements

    Investigators

    Petrina Casey

    Professor Ian Cameron,

    Dr Anne Marie Feyer

    The assistance of NRMA CTP Insurance in the identification of potential participants , project assistance and funding in the initial data collection stage is acknowledged