Injury upon injury: a prospective cohort study examining subsequent injury claims in the 24 months following a substantial injury

Harcombe, Helen; Davie, Gabrielle; Wyeth, Emma; Samaranayaka, Ari; Derrett, Sarah

doi:10.1136/injuryprev-2017-042467

Cited by 12 publications

(11 citation statements)

References 28 publications

(18 reference statements)

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“…Trouble accessing healthcare services for one’s injury predicted problems with usual activities and with anxiety/depression. This has important implications given the adverse impact that psychological morbidity has been found to have on injury recovery [ 40 ] and outcomes [ 41 , 42 ]. Our study found that having a depressive-type episode in the year prior to injury increased the risk of having a summed EQ-5D score of ≥ 7 at 12-months post-injury.…”

Section: Discussionmentioning

confidence: 99%

Predictors of EQ-5D-3L outcomes amongst injured Māori: 1-year post-injury findings from a New Zealand cohort study

et al. 2022

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Purpose Māori, the Indigenous population of New Zealand (NZ), are at higher risk of problems with health-related quality of life (HRQoL) 12 months following injury. This paper examines pre-injury sociodemographic and health characteristics and injury-related factors, including healthcare access, and their association with HRQoL outcomes 12 months after injury. Methods The Prospective Outcomes of Injury Study recruited 2856 injured New Zealanders aged 18–64 years from the entitlement claims register of the country’s no-fault injury insurance agency. One-fifth (n = 566) of the cohort were Māori. Information on predictors and outcomes, with the exception of injury and hospitalisation, was obtained directly from participants at approximately 3 and 12 months post-injury. The outcomes of interest were responses to the five dimensions of the EQ-5D-3L and a dichotomous measure obtained by summing scored responses to each question. Modified Poisson regression was used to identify predictors of each outcome at 12 months post-injury. Results Predictors differed by outcome. Being female, experiencing EQ-5D-3L problems pre-injury, having ≥ 2 chronic conditions pre-injury, perceiving one’s injury to be a threat of long-term disability, and having trouble accessing health services for injury were common predictors of EQ-5D-3L problems at 12 months post-injury for Māori. Conclusion Opportunities exist to improve HRQoL outcomes by identifying individuals in the early stages of injury recovery who may benefit from further treatment and support.

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Section: Discussionmentioning

confidence: 99%

Predictors of EQ-5D-3L outcomes amongst injured Māori: 1-year post-injury findings from a New Zealand cohort study

et al. 2022

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“…For participants we are unable to track using these available contact details, we will: (i) trace using the electoral roll or (ii) trace via updated contact details held by ACC (following ethical approval), as done in the earlier POIS project. We know from our research that 58% of POIS participants went on to experience a new injury event reported to ACC in the 24 months following their SIE [40]. Therefore, with ACC as an active collaborator, we expect to obtain reliable updated contact details for most harder-to-track POIS-10 participants.…”

Section: Pois-10 Recruitmentmentioning

confidence: 99%

“…POIS participants were interviewed 3, 12, and 24 months post-injury, providing information about their pre-injury characteristics (at the 3-month interview) and their injury experiences and outcomes at each follow-up time point [38]. Self-reported interview data were linked with information from large administrative datasets, including claims e-data from ACC (e.g., earnings-related wage compensation, health professional utilisation, treatment costs, and additional injury events) and injury-related hospitalisations recorded in the Ministry of Health (MoH) national minimum data set (NMDS) [39,40]. Results for the whole cohort, and specifically for Māori [6,[34][35][36][37], revealed key predictors of disability [30,31,41], participation in paid work [36,[42][43][44][45] and unpaid activities [46], other health outcomes including subsequent injury events [40,47], HRQL [46], physical functioning [7], and wellbeing outcomes [33,48] using validated measures.…”

Section: Contribution Of Poismentioning

confidence: 99%

“…Self-reported interview data were linked with information from large administrative datasets, including claims e-data from ACC (e.g., earnings-related wage compensation, health professional utilisation, treatment costs, and additional injury events) and injury-related hospitalisations recorded in the Ministry of Health (MoH) national minimum data set (NMDS) [39,40]. Results for the whole cohort, and specifically for Māori [6,[34][35][36][37], revealed key predictors of disability [30,31,41], participation in paid work [36,[42][43][44][45] and unpaid activities [46], other health outcomes including subsequent injury events [40,47], HRQL [46], physical functioning [7], and wellbeing outcomes [33,48] using validated measures. Unlike other longitudinal studies with follow-up rates of 30-50%, POIS achieved a high rate of follow-up at each data collection point, with a 79% follow-up rate at 24 months post-injury.…”

Section: Contribution Of Poismentioning

confidence: 99%

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Prospective Outcomes of Injury Study 10 Years on (POIS-10): An Observational Cohort Study

Derrett

Wyeth

Richardson

et al. 2021

MPs

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Injury is a leading cause of disability and is costly. This prospective cohort study extension aims to improve disability, health, and wellbeing outcomes for injured New Zealanders, including for Māori. We will identify predictors and modifiable risk factors of long-term outcomes (positive and negative), and develop an Injury Early Care Tool (INJECT) to inform the implementation of effective interventions to improve outcomes. In the Prospective Outcomes of Injury Study (POIS), 2856 people participated following an injury (occurring between 2007 and 2009) registered with New Zealand’s no-fault accident compensation scheme (ACC). POIS-10 will invite 2121 people (including 358 Māori) who completed a 24-month POIS interview and agreed to follow-up, anticipating 75% participation (n = 1591). Interviews will collect sociodemographic characteristics, life events, comorbidities, and new injuries since participants’ 24-month interview, as well as key disability, health, and wellbeing outcomes 12 years post-injury. Injury-related data will be collected from ACC and hospitalisation records 12 years post-injury. Regression models for the main outcomes will examine the direct effects of predictor variables after adjustment for a wide range of confounders. POIS-10 is enhanced by our partnership with ACC, and expert advisors and will benefit injured people, including Māori, through increased understanding of mechanisms and interventions to improve long-term post-injury outcomes.

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“…18 In addition to being more common, occupational injuries are more severe and more costly among workers with hearing and visual impairments [32][33][34] and other persistent disabilities. [35][36][37][38] In research using data from the National Longitudinal Survey of Youth, having an early-onset (before age 23) health-limiting condition was one of the strongest predictors of recurrent occupational injury. 39 Second, in a Washington State WC-based study, more than half of workers surveyed thought their permanent impairment put them at higher risk of being reinjured at work.…”

Section: Introductionmentioning

confidence: 99%

Estimating time to reinjury among Washington State injured workers by degree of permanent impairment: Using state wage data to adjust for time at risk

Sears

Schulman

Fulton‐Kehoe

et al. 2020

American J Industrial Med

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Background: Many injured workers are reinjured, but reinjury risk is challenging to quantify. Because many injured workers face delayed return-to-work, or return to part-time or intermittent jobs, a calendar timescale may overestimate actual worktime at risk, yielding underestimated reinjury rates. Objectives included determining: (1) reinjury risk by degree of permanent impairment and other factors, and (2) how choice of timescale affects reinjury estimates. Methods: This retrospective cohort study included Washington State workers' compensation (WC) claims for 43,114 injured workers, linked to state wage files (2003-2018). Three timescales were used to define at-risk denominators: (1) calendar quarters; (2) quarters with any wages; and (3) full-time equivalent (FTE) quarters, defined as cumulative work hours ÷ 520. Associations between reinjury outcomes and worker, injury, job, and WC vocational rehabilitation program participation characteristics were assessed using Cox proportional hazards regression. Results: Overall reinjury rates were 5.9 per 100 worker-years using a calendar timescale (95% confidence interval [

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Injury upon injury: a prospective cohort study examining subsequent injury claims in the 24 months following a substantial injury

Abstract: More than half of those with an ACC entitlement claim injury incurred further injury events that resulted in a claim in the following 24 months. Greater understanding of these subsequent injury events provides an avenue for injury prevention.

Cited by 12 publications

References 28 publications

Predictors of EQ-5D-3L outcomes amongst injured Māori: 1-year post-injury findings from a New Zealand cohort study

Predictors of EQ-5D-3L outcomes amongst injured Māori: 1-year post-injury findings from a New Zealand cohort study

Prospective Outcomes of Injury Study 10 Years on (POIS-10): An Observational Cohort Study

Estimating time to reinjury among Washington State injured workers by degree of permanent impairment: Using state wage data to adjust for time at risk

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