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      Long-term health status and trajectories of seriously injured patients: A population-based longitudinal study

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Improved understanding of the quality of survival of patients is crucial in evaluating trauma care, understanding recovery patterns and timeframes, and informing healthcare, social, and disability service provision. We aimed to describe the longer-term health status of seriously injured patients, identify predictors of outcome, and establish recovery trajectories by population characteristics.

          Methods and findings

          A population-based, prospective cohort study using the Victorian State Trauma Registry (VSTR) was undertaken. We followed up 2,757 adult patients, injured between July 2011 and June 2012, through deaths registry linkage and telephone interview at 6-, 12-, 24-, and 36-months postinjury. The 3-level EuroQol 5 dimensions questionnaire (EQ-5D-3L) was collected, and mixed-effects regression modelling was used to identify predictors of outcome, and recovery trajectories, for the EQ-5D-3L items and summary score. Mean (SD) age of participants was 50.8 (21.6) years, and 72% were male. Twelve percent ( n = 333) died during their hospital stay, 8.1% ( n = 222) of patients died postdischarge, and 155 (7.0%) were known to have survived to 36-months postinjury but were lost to follow-up at all time points. The prevalence of reporting problems at 36-months postinjury was 37% for mobility, 21% for self-care, 47% for usual activities, 50% for pain/discomfort, and 41% for anxiety/depression. Continued improvement to 36-months postinjury was only present for the usual activities item; the adjusted relative risk (ARR) of reporting problems decreased from 6 to 12 (ARR 0.87, 95% CI: 0.83–0.90), 12 to 24 (ARR 0.94, 95% CI: 0.90–0.98), and 24 to 36 months (ARR 0.95, 95% CI: 0.95–0.99). The risk of reporting problems with pain or discomfort increased from 24- to 36-months postinjury (ARR 1.06, 95% CI: 1.01, 1.12). While loss to follow-up was low, there was responder bias with patients injured in intentional events, younger, and less seriously injured patients less likely to participate; therefore, these patient subgroups were underrepresented in the study findings.

          Conclusions

          The prevalence of ongoing problems at 3-years postinjury is high, confirming that serious injury is frequently a chronic disorder. These findings have implications for trauma system design. Investment in interventions to reduce the longer-term impact of injuries is needed, and greater investment in primary prevention is needed.

          Abstract

          In a population-based longitudinal study, Belinda Gabbe and colleagues report 3-year outcomes for seriously injured patients in Victoria, Australia.

          Author summary

          Why was this study done?
          • Improvements in trauma care have improved the chances of surviving serious injury, requiring a shift in focus to better understanding how well people recover from injury and how long this takes.

          • Longitudinal studies of the long-term health outcomes of seriously injured people are few. This study was undertaken to close this knowledge gap and provide valuable data necessary to inform trauma system design, injury rehabilitation programs, compensation schemes, and estimates of injury burden.

          What did the researchers do and find?
          • We followed a cohort of 2,757 major trauma patients in Victoria, Australia at 6 months, 12 months, 24 months, and 36 months after injury to collect health outcomes using the 3-level EuroQol 5 dimensions questionnaire (EQ-5D-3L).

          • We found that 20% of patients had died by 36-months postinjury. The proportion of survivors reporting persistent problems was high for each of the EQ-5D-3L items, although improvement was continuing at 36 months after injury for the usual activities item.

          • After adjusting our analyses to account for possible confounding factors, we found that lower levels of education, claiming compensation for injury, and age were consistent predictors of reporting problems at follow-up. The nature of injuries sustained, gender, preinjury employment, and level of socioeconomic disadvantage were also important predictors of problems on many of the 5 EQ-5D-3L items.

          What do these findings mean?
          • The prevalence of ongoing problems following serious injury was high at 36 months, though continued improvement was evident.

          • Investment in interventions designed to prevent major trauma overall, and to reduce the impact of injury, is clearly needed.

          Related collections

          Most cited references55

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          A modified poisson regression approach to prospective studies with binary data.

          G Zou (2004)
          Relative risk is usually the parameter of interest in epidemiologic and medical studies. In this paper, the author proposes a modified Poisson regression approach (i.e., Poisson regression with a robust error variance) to estimate this effect measure directly. A simple 2-by-2 table is used to justify the validity of this approach. Results from a limited simulation study indicate that this approach is very reliable even with total sample sizes as small as 100. The method is illustrated with two data sets.
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            Health literacy as a public health goal: a challenge for contemporary health education and communication strategies into the 21st century

            D Nutbeam (2000)
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              Modeling valuations for EuroQol health states.

              Paul Dolan (1997)
              It has become increasingly common for preference-based measures of health-related quality of life to be used in the evaluation of different health-care interventions. For one such measure, The EuroQol, designed to be used for these purposes, it was necessary to derive a single index value for each of the 243 health states it generates. The problem was that it was virtually impossible to generate direct valuations for all of these states, and thus it was necessary to find a procedure that allows the valuations of all EuroQol states to be interpolated from direct valuations on a subset of these. In a recent study, direct valuations were elicited for 42 EuroQol health states (using the time trade-off method) from a representative sample of the UK population. This article reports on the methodology that was adopted to build up a "tariff" of EuroQol values from this data. A parsimonious model that fits the data well was defined as one in which valuations were explained in terms of the level of severity associated with each dimension, an intercept associated with any move away from full health, and a term that picked up whether any dimension in the state was at its most severe level. The model presented in this article appears to predict the values of the states for which there are direct observations and, thus, can be used to interpolate values for the states for which no direct observations exist.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                5 July 2017
                July 2017
                : 14
                : 7
                : e1002322
                Affiliations
                [1 ]School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
                [2 ]Farr Institute, Swansea University Medical School, Swansea University, Swansea, United Kingdom
                [3 ]Emergency and Trauma Centre, The Alfred, Melbourne, Victoria, Australia
                [4 ]Monash-Epworth Rehabilitation Research Centre, Melbourne, Victoria, Australia
                [5 ]School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
                [6 ]Insurance Work and Health Group, Faculty of Medicine Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
                [7 ]Trauma Service, The Alfred, Melbourne, Victoria, Australia
                [8 ]Department of Surgery, Monash University, Melbourne, Victoria, Australia
                [9 ]Trauma Service, Royal Melbourne Hospital, Parkville, Victoria, Australia
                [10 ]Trauma Service, The Royal Children’s Hospital, Melbourne, Victoria, Australia
                [11 ]Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
                [12 ]Surgical Research Group, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
                [13 ]Victorian Spinal Cord Service, Austin Health, Heidelberg, Victoria, Australia
                [14 ]Section of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand
                [15 ]Research Centre for Injury Studies, Flinders University, Adelaide, South Australia, Australia
                Barts and the London School of Medicine & Dentistry Queen Mary University of London, UNITED KINGDOM
                Author notes

                The authors have declared that no competing interests exist.

                • Conceptualization: BJG PAC RAL PMS JEH RJ MF JP SA AC.

                • Data curation: BJG PMS SB.

                • Formal analysis: BJG PMS.

                • Funding acquisition: BJG PAC RAL JEH SA JP MF RJ AC.

                • Investigation: BJG PMS SB.

                • Methodology: BJG PAC RAL JEH SA JP MF RJ AC SB WJT AN.

                • Project administration: BJG SB.

                • Resources: BJG PAC RAL JEH SA JP MF RJ AC SB WJT AN.

                • Supervision: BJG PAC RAL JEH SA JP MF RJ AC SB WJT AN.

                • Validation: PMS BJG.

                • Visualization: BJG PMS.

                • Writing – original draft: BJG PAC RAL JEH SA JP MF RJ AC SB WJT AN.

                • Writing – review & editing: BJG PAC RAL JEH SA JP MF RJ AC SB WJT AN PMS.

                Author information
                http://orcid.org/0000-0001-7096-7688
                http://orcid.org/0000-0002-7527-778X
                http://orcid.org/0000-0001-5225-000X
                http://orcid.org/0000-0003-2617-9339
                http://orcid.org/0000-0003-0183-7761
                http://orcid.org/0000-0003-4747-6025
                http://orcid.org/0000-0002-0222-9410
                http://orcid.org/0000-0001-8042-2251
                http://orcid.org/0000-0001-9893-8491
                Article
                PMEDICINE-D-17-00119
                10.1371/journal.pmed.1002322
                5497942
                28678814
                057a133e-c4ef-48a4-810c-1eef9038efc8
                © 2017 Gabbe et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 11 January 2017
                : 11 May 2017
                Page count
                Figures: 3, Tables: 2, Pages: 18
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: GNT1061786
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: GNT1048731
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: ID 545926
                Award Recipient :
                The project was funded by the National Health and Medical Research Council (NHMRC) of Australia (GNT1061786). The Victorian State Trauma Registry (VSTR) is a Department of Health and Human Services, State Government of Victoria and Transport Accident Commission funded project. BJG and PAC were supported by a Career Development Fellowship (GNT1048731), and a Practitioner Fellowship (ID 545926), from the NHMRC, respectively. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Critical Care and Emergency Medicine
                Trauma Medicine
                Traumatic Injury
                Medicine and Health Sciences
                Health Care
                Patients
                Medicine and Health Sciences
                Critical Care and Emergency Medicine
                Trauma Medicine
                Traumatic Injury
                Neurotrauma
                Spinal Cord Injury
                Medicine and Health Sciences
                Neurology
                Spinal Cord Injury
                Medicine and Health Sciences
                Critical Care and Emergency Medicine
                Trauma Medicine
                Traumatic Injury
                Head Injury
                Medicine and Health Sciences
                Critical Care and Emergency Medicine
                Trauma Medicine
                Traumatic Injury
                Burns
                Medicine and Health Sciences
                Health Care
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Traumatic Injury Risk Factors
                Falls
                People and Places
                Population Groupings
                Age Groups
                Custom metadata
                Requests for access to data from the REcovery after Serious Trauma-Outcomes, Resource use and patient Experiences (RESTORE) study would require approval from the data custodians, who can be contacted at susan.mclellan@ 123456monash.edu or at the following URL: http://www.med.monash.edu.au/epidemiology/traumaepi/traumareg/. Further guidelines for accessing data from the Victorian State Trauma Outcomes Registry can be found here: http://www.med.monash.edu.au/assets/docs/sphpm/2016_nov_vstr_data_access_guidelines.pdf.

                Medicine
                Medicine

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