4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Orchard Sports Injury Classification System 10.1 Plus: An End-User Study

      research-article

      Read this article at

      ScienceOpenPMC
      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

          The purpose of this study was to establish the level of ease of use and effectiveness of the Orchard Sport Injury Classification System (OSICS) 10.1 Plus for recording injuries and interventions. Three hundred and forty-two (males=148, females=192, no response=2; age=30.9±9.5y; experience=9.1±10.5y) athletic trainers (ATs) in the United States completed the survey. Participants were primarily employed in the secondary school (n=135) or collegiate setting (n=171). Participants entered system includes the OSICS 10.1 to catalog injuries and Current Procedural Terminology (CPT) codes to document interventions. Participants completed an 18-item end-user evaluation to assess the ease of use and effectiveness of the OSICS 10.1 Plus (5-point Likert scale). Participants indicated that the OSICS 10.1 Plus is overall easy to use (4.1±0.7pts), easy to enter an injury (4.1±0.8pts), and easy to enter the associated interventions (3.9±0.8pts). Respondents were neutral about whether the OSICS 10.1 Plus matched their current injury (3.5±1.0pts) or intervention (3.5±0.9pts) records. A majority of participants indicated that they could find the injury (281/342, 82.2%) and interventions (225/342, 65.8%) of interest. A majority of respondents (205/342, 60.0%) indicated they would consider using OSICS 10.1 Plus for injury surveillance in clinical practice. The OSICS 10.1 Plus could serve as an effective and useful mechanism for injury surveillance with minor modifications; however, we, as professionals in sports healthcare, need to improve regular medical documentation first so that we are better able to conduct injury surveillance among our patients.

          Related collections

          Most cited references21

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

          Measuring diagnoses: ICD code accuracy.

          To examine potential sources of errors at each step of the described inpatient International Classification of Diseases (ICD) coding process. The use of disease codes from the ICD has expanded from classifying morbidity and mortality information for statistical purposes to diverse sets of applications in research, health care policy, and health care finance. By describing a brief history of ICD coding, detailing the process for assigning codes, identifying where errors can be introduced into the process, and reviewing methods for examining code accuracy, we help code users more systematically evaluate code accuracy for their particular applications. We summarize the inpatient ICD diagnostic coding process from patient admission to diagnostic code assignment. We examine potential sources of errors at each step and offer code users a tool for systematically evaluating code accuracy. Main error sources along the "patient trajectory" include amount and quality of information at admission, communication among patients and providers, the clinician's knowledge and experience with the illness, and the clinician's attention to detail. Main error sources along the "paper trail" include variance in the electronic and written records, coder training and experience, facility quality-control efforts, and unintentional and intentional coder errors, such as misspecification, unbundling, and upcoding. By clearly specifying the code assignment process and heightening their awareness of potential error sources, code users can better evaluate the applicability and limitations of codes for their particular situations. ICD codes can then be used in the most appropriate ways.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Electronic health records implementation: an evaluation of information system impact and contingency factors.

            This paper provides a review of EHR (electronic health record) implementations around the world and reports on findings including benefits and issues associated with EHR implementation.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The role of ecological dynamics in analysing performance in team sports.

              Performance analysis is a subdiscipline of sports sciences and one-approach, notational analysis, has been used to objectively audit and describe behaviours of performers during different subphases of play, providing additional information for practitioners to improve future sports performance. Recent criticisms of these methods have suggested the need for a sound theoretical rationale to explain performance behaviours, not just describe them. The aim of this article was to show how ecological dynamics provides a valid theoretical explanation of performance in team sports by explaining the formation of successful and unsuccessful patterns of play, based on symmetry-breaking processes emerging from functional interactions between players and the performance environment. We offer the view that ecological dynamics is an upgrade to more operational methods of performance analysis that merely document statistics of competitive performance. In support of our arguments, we refer to exemplar data on competitive performance in team sports that have revealed functional interpersonal interactions between attackers and defenders, based on variations in the spatial positioning of performers relative to each other in critical performance areas, such as the scoring zones. Implications of this perspective are also considered for practice task design and sport development programmes.
                Bookmark

                Author and article information

                Journal
                Int J Exerc Sci
                Int J Exerc Sci
                International Journal of Exercise Science
                Berkeley Electronic Press
                1939-795X
                2017
                01 March 2017
                : 10
                : 2
                : 284-293
                Affiliations
                [1 ]Department of Applied Medicine and Rehabilitation, Indiana State University, Terre Haute, IN, USA
                [2 ]Department of Kinesiology, Recreation, and Sport, Trinity College, Dublin, Ireland
                Author notes
                [†]

                Denotes graduate student author

                [‡]

                Denotes professional author

                Article
                ijes_10_2_284
                5360368
                f207d075-5d74-4142-99e6-04d0d169a72f
                Copyright @ 2017
                History
                Categories
                Original Research

                injury surveillance,orchard sports injury classification system,current procedural terminology

                Comments

                Comment on this article