Abstract
Design: Cohort study. Predictors were collected at baseline and at 3 months postinjury. Outcome data were collected at 72 months postinjury.
Setting: Hospitalised patients with serious injuries recruited from four major trauma hospitals in Australia.
Participants: 332 participants who made claims for compensation for their injuries to a transport accident scheme or a workers’ compensation scheme.
Primary outcome measures: 12-item WHO Disability Assessment Schedule and 6 items from the Claims Experience Survey.
Results: Our model for long-term disability had four predictors (unemployed at the time of injury, history of a psychiatric disorder at time of injury, post-traumatic stress disorder symptom severity at 3 months and disability at 3 months). This model had good discrimination (R2=0.37) and calibration. The disability risk score had a score range of 0–180, and at a threshold of 80 had sensitivity of 56% and specificity of 86%. Our model for compensation-related stress had five predictors (intensive care unit admission, discharged to home, number of traumatic events prior to injury, depression at 3 months and not working at 3 months). This model also had good discrimination (area under the curve=0.83) and calibration. The compensation-related stress risk score had score range of 0–220 and at a threshold of 100 had sensitivity of 74% and specificity of 75%. By combining these two scoring systems, we were able to identify the subgroup of claimants at highest risk of experiencing both outcomes.
Conclusions: The ability to identify at an early stage claimants at high risk of compensation-related stress and poor recovery is potentially valuable for claimants and the compensation agencies that serve them. The scoring systems we developed could be incorporated into the claims-handling processes to guide prevention-oriented interventions.
| Original language | English |
|---|---|
| Article number | e020803 |
| Number of pages | 10 |
| Journal | BMJ Open |
| Volume | 8 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2018 |
Keywords
- Injury compensation systems
- Claims processes
- Health outcomes
- Injury outcomes
Cite this
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Development of prediction models of stress and long-term disability among claimants to injury compensation systems : a cohort study. / Spittal, Mathew; Grant, Genevieve; O'Donnell, Meaghan; McFarlane, Alexander; Studdert, David M.
In: BMJ Open, Vol. 8, No. 4, e020803, 2018.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Development of prediction models of stress and long-term disability among claimants to injury compensation systems
T2 - a cohort study
AU - Spittal, Mathew
AU - Grant, Genevieve
AU - O'Donnell, Meaghan
AU - McFarlane, Alexander
AU - Studdert, David M
PY - 2018
Y1 - 2018
N2 - Objectives: We sought to develop prognostic risk scores for compensation-related stress and long-term disability using markers collected within 3 months of a serious injury.Design: Cohort study. Predictors were collected at baseline and at 3 months postinjury. Outcome data were collected at 72 months postinjury.Setting: Hospitalised patients with serious injuries recruited from four major trauma hospitals in Australia.Participants: 332 participants who made claims for compensation for their injuries to a transport accident scheme or a workers’ compensation scheme.Primary outcome measures: 12-item WHO Disability Assessment Schedule and 6 items from the Claims Experience Survey.Results: Our model for long-term disability had four predictors (unemployed at the time of injury, history of a psychiatric disorder at time of injury, post-traumatic stress disorder symptom severity at 3 months and disability at 3 months). This model had good discrimination (R2=0.37) and calibration. The disability risk score had a score range of 0–180, and at a threshold of 80 had sensitivity of 56% and specificity of 86%. Our model for compensation-related stress had five predictors (intensive care unit admission, discharged to home, number of traumatic events prior to injury, depression at 3 months and not working at 3 months). This model also had good discrimination (area under the curve=0.83) and calibration. The compensation-related stress risk score had score range of 0–220 and at a threshold of 100 had sensitivity of 74% and specificity of 75%. By combining these two scoring systems, we were able to identify the subgroup of claimants at highest risk of experiencing both outcomes.Conclusions: The ability to identify at an early stage claimants at high risk of compensation-related stress and poor recovery is potentially valuable for claimants and the compensation agencies that serve them. The scoring systems we developed could be incorporated into the claims-handling processes to guide prevention-oriented interventions.
AB - Objectives: We sought to develop prognostic risk scores for compensation-related stress and long-term disability using markers collected within 3 months of a serious injury.Design: Cohort study. Predictors were collected at baseline and at 3 months postinjury. Outcome data were collected at 72 months postinjury.Setting: Hospitalised patients with serious injuries recruited from four major trauma hospitals in Australia.Participants: 332 participants who made claims for compensation for their injuries to a transport accident scheme or a workers’ compensation scheme.Primary outcome measures: 12-item WHO Disability Assessment Schedule and 6 items from the Claims Experience Survey.Results: Our model for long-term disability had four predictors (unemployed at the time of injury, history of a psychiatric disorder at time of injury, post-traumatic stress disorder symptom severity at 3 months and disability at 3 months). This model had good discrimination (R2=0.37) and calibration. The disability risk score had a score range of 0–180, and at a threshold of 80 had sensitivity of 56% and specificity of 86%. Our model for compensation-related stress had five predictors (intensive care unit admission, discharged to home, number of traumatic events prior to injury, depression at 3 months and not working at 3 months). This model also had good discrimination (area under the curve=0.83) and calibration. The compensation-related stress risk score had score range of 0–220 and at a threshold of 100 had sensitivity of 74% and specificity of 75%. By combining these two scoring systems, we were able to identify the subgroup of claimants at highest risk of experiencing both outcomes.Conclusions: The ability to identify at an early stage claimants at high risk of compensation-related stress and poor recovery is potentially valuable for claimants and the compensation agencies that serve them. The scoring systems we developed could be incorporated into the claims-handling processes to guide prevention-oriented interventions.
KW - Injury compensation systems
KW - Claims processes
KW - Health outcomes
KW - Injury outcomes
U2 - 10.1136/bmjopen-2017-020803
DO - 10.1136/bmjopen-2017-020803
M3 - Article
VL - 8
JO - BMJ Open
JF - BMJ Open
SN - 2044-6055
IS - 4
M1 - e020803
ER -