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• W253990847 abstract "Background: Injury is the most common disbenefit of participation in physical activityand has substantial related personal, social and economic costs. An understanding ofwhere, when, how and to whom injuries occur is critical for the development ofinterventions designed to prevent injuries. Injury surveillance contributes to thisunderstanding, and despite the importance of such systems, limited research existsexamining their optimisation from a user perspective.Aim: To investigate strengths and weaknesses, and identify shortcomings of injurysurveillance systems with regard to factors that influence system operation, and therebyidentify enhancements that optimise system utility from a user perspective.Methods: Six studies utilising a series of complementary research designs wereundertaken, some using more than one analysis method. Two qualitative studies, directedby the tenets of Grounded Theory, were conducted with key informants interacting withinjury surveillance systems in the Australian Defence Force, and in the Australian state ofVictoria, to determine system experiences and future operational expectations. The resultsof these qualitative studies informed the objectives and designs of the later research.A Discrete Choice Modeling study was then performed with 225 users of the VictorianInjury Surveillance System data output to determine user preferences towardpredetermined current and hypothetical information dissemination mediums. Finally, threestudies trialed and evaluated five novel analytical methods, previously untried in theanalysis of injury surveillance data. The methods were: (1) the 11 and EWMA statistical process control charts, (2) Kohonen Self Organising Maps, and (3) the A priori AssociationRule and SPSS Clementine Sequence Analysis algorithms. These analytical techniqueswere applied to an historical ADF injury data set. The process of applying each techniqueand interpreting the results obtained were evaluated using preliminary criteria designed toassess utility through the evaluation of usefulness and user responsiveness.Results: A range of factors relating to injury data collection, analysis and interpretation,and information dissemination that act as barriers to optimal injury surveillance in terms ofquality, efficiency and usefulness were identified in the qualitative studies. Sociocontextualfactors were also identified which were unique to each research setting. Thesehave received limited attention in previous research. The Discrete Choice Modeling studyindicated user preference, in order of preference strength, toward online dissemination ofinjury data and information, a willingness to pay for system information products (inverserelationship); an online information repository; and dissemination of a regular publication.The five data analysis methods each identified previously unidentified injury problemswithin the ADF data, and each met several of the criteria associated with utility. Thestrength and weaknesses of these methods are discussed.Conclusions: There is a scarcity of critical research directed at optimising the performanceand utility of injury surveillance systems, particularly from a user perspective. Thisresearch identifies some potential means of achieving enhancements. Future research isrequired in two major categories: (l) the human interaction with all phases of injurysurveillance systems; and (2) improving the empirical evidence and knowledge regardingoptimal methods of analysis, interpretation and dissemination of injury surveillance dataand information." @default.
• W253990847 created "2016-06-24" @default.
• W253990847 creator A5012391685 @default.
• W253990847 date "2017-05-15" @default.
• W253990847 modified "2023-09-25" @default.
• W253990847 title "Optimising the utility of injury surveillance systems to inform injury prevention in active populations" @default.
• W253990847 doi "https://doi.org/10.4225/03/58d1d7d02c2df" @default.
• W253990847 hasPublicationYear "2017" @default.
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