41
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Prevalence and Predictors of Sub-Acute Phase Disability after Injury among Hospitalised and Non-Hospitalised Groups: A Longitudinal Cohort Study

      research-article

      Read this article at

      Bookmark
          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

          Introduction

          To reduce the burden on injury survivors and their supporters, factors associated with poor outcomes need to be identified so that timely post-injury interventions can be implemented. To date, few studies have investigated outcomes for both those who were hospitalised and those who were not.

          Aim

          To describe the prevalence and to identify pre-injury and injury-related predictors of disability among hospitalised and non-hospitalised people, three months after injury.

          Methods

          Participants in the Prospective Outcomes of Injury Study were aged 18–64 years and on an injury entitlement claims register with New Zealand's no-fault injury compensation insurer, following referral by healthcare professionals. A wide range of pre-injury demographic, health and injury-related characteristics were collected at interview. Participants were categorised as ‘hospitalised’ if they were placed on New Zealand's National Minimum Data Set within seven days of the injury event. Injury severity scores (NISS) and 12 injury categories were derived from ICD-10 codes. WHODAS assessed disability. Multivariable analyses examined relationships between explanatory variables and disability.

          Results

          Of 2856 participants, 2752 (96%) had WHODAS scores available for multivariable analysis; 673 were hospitalised; 2079 were not. Disability was highly prevalent among hospitalised (53.6%) and non-hospitalised (39.4%) participants, three-months after injury. In both groups, pre-injury disability, obesity and higher injury severity were associated with increased odds of post-injury disability. A range of other factors were associated with disability in only one group: e.g. female, ≥2 chronic conditions and leg fracture among hospitalised; aged 35–54 years, trouble accessing healthcare, spine or lower extremity sprains/dislocations and assault among non-hospitalised.

          Significance

          Disability was highly prevalent among both groups yet, with a few exceptions, factors associated with disability were not common to both groups. Where possible, including a range of injured people in studies, hospitalised and not, will increase understanding of the burden of disability in the sub-acute phase.

          Related collections

          Most cited references24

          • Record: found
          • Abstract: found
          • Article: not found

          Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): a reevaluation of the Life Orientation Test.

          Research on dispositional optimism as assessed by the Life Orientation Test (Scheier & Carver, 1985) has been challenged on the grounds that effects attributed to optimism are indistinguishable from those of unmeasured third variables, most notably, neuroticism. Data from 4,309 subjects show that associations between optimism and both depression and aspects of coping remain significant even when the effects of neuroticism, as well as the effects of trait anxiety, self-mastery, and self-esteem, are statistically controlled. Thus, the Life Orientation Test does appear to possess adequate predictive and discriminant validity. Examination of the scale on somewhat different grounds, however, does suggest that future applications can benefit from its revision. Thus, we also describe a minor modification to the Life Orientation Test, along with data bearing on the revised scale's psychometric properties.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            An overview of the injury severity score and the new injury severity score.

            The research was undertaken to describe the injury severity score (ISS) and the new injury severity score (NISS) and to illustrate their statistical properties. Descriptive analysis and assessment of the distribution of these scales. Three data sources--the National Pediatric Trauma Registry; the Massachusetts Uniform Hospital Discharge Data Set; and a trauma registry from an urban level I trauma center in Massachusetts--were used to describe the distribution of the ISS and NISS among injured patients. The ISS/NISS was found to have a positively skewed distribution and transformation did not improve their skewness. The findings suggest that for statistical or analytical purposes the ISS/ NISS should not be considered a continuous variable, particularly if ISS/NISS is treated as a continuous variable for correlation with an outcome measure.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              An introduction to the Barell body region by nature of injury diagnosis matrix.

              The Barell body region by nature of injury diagnosis matrix standardizes data selection and reports, using a two dimensional array (matrix) that includes all International Classification of Diseases (ICD)-9-CM codes describing trauma. To provide a standard format for reports from trauma registries, hospital discharge data systems, emergency department data systems, or other sources of non-fatal injury data. This tool could also be used to characterize the patterns of injury using a manageable number of clinically meaningful diagnostic categories and to serve as a standard for casemix comparison across time and place. The matrix displays 12 nature of injury columns and 36 body region rows placing each ICD-9-CM code in the range from 800 to 995 in a unique cell location in the matrix. Each cell includes the codes associated with a given injury. The matrix rows and columns can easily be collapsed to get broader groupings or expanded if more specific sites are required. The current matrix offers three standard levels of detail through predefined collapsing of body regions from 36 rows to nine rows to five rows. MATRIX DEVELOPMENT: This paper presents stages in the development and the major concepts and properties of the matrix, using data from the Israeli national trauma registry, and from the US National Hospital Discharge Survey. The matrix introduces new ideas such as the separation of traumatic brain injury (TBI), into three types. Injuries to the eye have been separated from other facial injuries. Other head injuries such as open wounds and burns were categorized separately. Injuries to the spinal cord and spinal column were also separated as are the abdomen and pelvis. Extremities have been divided into upper and lower with a further subdivision into more specific regions. Hip fractures were separated from other lower extremity fractures. FORTHCOMING DEVELOPMENTS: The matrix will be used for the development of standard methods for the analysis of multiple injuries and the creation of patient injury profiles. To meet the growing use of ICD-10 and to be applicable to a wider range of countries, the matrix will be translated to ICD-10 and eventually to ICD-10-CM. The Barell injury diagnosis matrix has the potential to serve as a basic tool in epidemiological and clinical analyses of injury data.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                11 September 2012
                : 7
                : 9
                : e44909
                Affiliations
                [1 ]Injury Prevention Research Unit, Department of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
                [2 ]School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
                [3 ]Rehabilitation Studies Unit, Sydney Medical School, University of Sydney, Sydney, Australia
                [4 ]Te Roopū Rangahau Hauora Māori a Ngāi Tahu (Ngāi Tahu Māori Health Research Unit), Department of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
                Federal University of Rio de Janeiro, Brazil
                Author notes

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

                Conceived and designed the experiments: SD JL SA RL EW GD. Performed the experiments: SD JL SA RL EW GD. Analyzed the data: AS SD SW JL SA IDC RL EW GD. Wrote the paper: SD. Contributed to the writing of the manuscript: SD AS SW JL SA IDC RL EW GD. ICMJE criteria for authorship read and met: SD AS SW JL SA IDC RL EW GD. Agree with manuscript results and conclusions: SD AS SW JL SA IDC RL EW GD.

                Article
                PONE-D-12-12762
                10.1371/journal.pone.0044909
                3439380
                22984584
                2c27a87f-f133-4523-8197-dd3ef05c6040
                Copyright @ 2012

                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
                : 23 April 2012
                : 9 August 2012
                Page count
                Pages: 13
                Funding
                This study is funded by the Health Research Council of New Zealand (2007-2013), and was co-funded by the Accident Compensation Corporation, New Zealand (2007–2010). The views and conclusions expressed herein are the authors' and may not reflect those of the funders. EW was supported by a Health Research Council of New Zealand Eru Pomare Research Fellowship, RL by an ACC Early Research Career Post-Doctoral Fellowship and IDC by an Australian National Health and Medical Research Council Practitioner Fellowship. The Accident Compensation Corporation sent out invitations to eligible potential participants on the research team's behalf, and also provided, following participants' consent, information from the electronic record about participants' injuries. The funders had no role in study design, analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Population Biology
                Epidemiology
                Social Epidemiology
                Medicine
                Clinical Research Design
                Cohort Studies
                Epidemiology
                Survey Methods
                Non-Clinical Medicine
                Health Care Policy
                Psychological and Psychosocial Issues
                Public Health
                Behavioral and Social Aspects of Health
                Socioeconomic Aspects of Health

                Uncategorized
                Uncategorized

                Comments

                Comment on this article