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      Prognostic factors for medical and productivity costs, and return to work after trauma

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          Abstract

          Aim

          The aim of this study was to determine prognostic factors for medical and productivity costs, and return to work (RTW) during the first two years after trauma in a clinical trauma population.

          Methods

          This prospective multicentre observational study followed all adult trauma patients (≥18 years) admitted to a hospital in Noord-Brabant, the Netherlands from August 2015 through November 2016. Health care consumption, productivity loss and return to work were measured in questionnaires at 1 week, 1, 3, 6, 12 and 24 months after injury. Data was linked with hospital registries. Prognostic factors for medical costs and productivity costs were analysed with log-linked gamma generalized linear models. Prognostic factors for RTW were assessed with Cox proportional hazards model. The predictive ability of the models was assessed with McFadden R 2 (explained variance) and c-statistics (discrimination).

          Results

          A total of 3785 trauma patients (39% of total study population) responded to at least one follow-up questionnaire. Mean medical costs per patient (€9,710) and mean productivity costs per patient (€9,000) varied widely. Prognostic factors for high medical costs were higher age, female gender, spine injury, lower extremity injury, severe head injury, high injury severity, comorbidities, and pre-injury health status. Productivity costs were highest in males, and in patients with spinal cord injury, high injury severity, longer length of stay at the hospital and patients admitted to the ICU. Prognostic factors for RTW were high educational level, male gender, low injury severity, shorter length of stay at the hospital and absence of comorbidity.

          Conclusions

          Productivity costs and RTW should be considered when assessing the economic impact of injury in addition to medical costs. Prognostic factors may assist in identifying high cost groups with potentially modifiable factors for targeted preventive interventions, hence reducing costs and increasing RTW rates.

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          Most cited references22

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          Economic impact of hand and wrist injuries: health-care costs and productivity costs in a population-based study.

          Injuries to the hand and wrist account for approximately 20% of patient visits to emergency departments and may impose a large economic burden. The purpose of this study was to estimate the total health-care costs and productivity costs of injuries to the hand and wrist and to compare them with other important injury groups in a nationwide study. Data were retrieved from the Dutch Injury Surveillance System, from the National Hospital Discharge Registry, and from a patient follow-up survey conducted between 2007 and 2008. Injury incidence, health-care costs, and productivity costs (due to absenteeism) were calculated by age group, sex, and different subgroups of injuries. An incidence-based cost model was used to estimate the health-care costs of injuries. Follow-up data on return to work rates were incorporated into the absenteeism model for estimating the productivity costs. Hand and wrist injuries annually account for $740 million (in U.S. dollars) and rank first in the order of most expensive injury types, before knee and lower limb fractures ($562 million), hip fractures ($532 million), and skull-brain injury ($355 million). Productivity costs contributed more to the total costs of hand and wrist injuries (56%) than did direct health-care costs. Within the overall group of hand and wrist injuries, hand and finger fractures are the most expensive group ($278 million), largely due to high productivity costs in the age group of twenty to sixty-four years ($192 million). Hand and wrist injuries not only constitute a substantial part of all treated injuries but also represent a considerable economic burden, with both high health-care and productivity costs. Hand and wrist injuries should be a priority area for research in trauma care, and further research could help to reduce the cost of these injuries, both to the health-care system and to society.
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            The economic burden of injury: Health care and productivity costs of injuries in the Netherlands.

            Detailed information on health care costs and productivity costs for the whole spectrum of injuries is lacking. We measured the total costs of injuries by external-cause, injury groupings, age and sex.
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              Mortality prediction models in the general trauma population: A systematic review.

              Trauma is the leading cause of death in individuals younger than 40 years. There are many different models for predicting patient outcome following trauma. To our knowledge, no comprehensive review has been performed on prognostic models for the general trauma population. Therefore, this review aimed to describe (1) existing mortality prediction models for the general trauma population, (2) the methodological quality and (3) which variables are most relevant for the model prediction of mortality in the general trauma population.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                25 March 2020
                2020
                : 15
                : 3
                : e0230641
                Affiliations
                [1 ] Department Trauma TopCare, ETZ hospital (Elisabeth-TweeSteden Ziekenhuis), Tilburg, The Netherlands
                [2 ] Department of Public Health, Erasmus University Medical Centre, Rotterdam, The Netherlands
                [3 ] Brabant Trauma Registry, Network Emergency Care Brabant, Tilburg, The Netherlands
                [4 ] Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
                University Hospital Zurich, SWITZERLAND
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0001-6573-2032
                http://orcid.org/0000-0002-0217-9484
                Article
                PONE-D-19-35318
                10.1371/journal.pone.0230641
                7094860
                32210472
                d8cbbad5-aeff-4338-9df3-5d22269f0cc1
                © 2020 de Munter 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
                : 20 December 2019
                : 4 March 2020
                Page count
                Figures: 2, Tables: 3, Pages: 15
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001826, ZonMw;
                Award ID: 80842009814226
                This work was supported by a grant of the Dutch organization for health research and care innovation (ZonMW) section TopCare projects (grantnumber: 80842009814226). 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
                Neurotrauma
                Spinal Cord Injury
                Medicine and Health Sciences
                Neurology
                Spinal Cord Injury
                Social Sciences
                Economics
                Health Economics
                Medicine and Health Sciences
                Health Care
                Health Economics
                Medicine and Health Sciences
                Critical Care and Emergency Medicine
                Trauma Medicine
                Traumatic Injury
                Medicine and Health Sciences
                Critical Care and Emergency Medicine
                Trauma Medicine
                Traumatic Injury
                Head Injury
                Social Sciences
                Sociology
                Education
                Educational Attainment
                Research and Analysis Methods
                Research Design
                Survey Research
                Questionnaires
                Medicine and Health Sciences
                Health Care
                Patients
                Medicine and Health Sciences
                Critical Care and Emergency Medicine
                Trauma Medicine
                Traumatic Injury
                Neurotrauma
                Traumatic Brain Injury
                Custom metadata
                Data cannot be shared publicly because data from this study can contain potentially identifying or sensitive patient information. Data are anonymized, but due to relatively few severe cases, patients could be identified (Medical Ethics Committee Brabant). Therefore, data from the BIOS-study will be made available for researchers who meet the criteria for access to confidential data. Requests may be sent to: secretariaat@ 123456nazb.nl (this is a non-author point of contact).

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                Uncategorized

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