DEVELOPMENT AND VALIDATION OF THE ANTERIOR CRUCIATE LIGAMENT INJURY-RISK-ESTIMATION QUIZ (ACL-IQ)

Over 2 million Anterior Cruciate Ligament (ACL) injuries occur annually worldwide resulting in considerable economic and health burdens (e.g., suffering, surgery, loss of function, risk for re-injury, and osteoarthritis). Current screening methods are effective but they generally rely on expensive and time-consuming biomechanical movement analysis, and thus are impractical solutions. In this dissertation, I report on a series of studies that begins to investigate one potentially efficient alternative to biomechanical screening, namely skilled observational risk assessment (e.g., having experts estimate risk based on observations of athletes movements). Specifically, in Study 1 I discovered that ACL injury risk can be accurately and reliably estimated with nearly instantaneous visual inspection when observed by skilled and knowledgeable professionals. Modern psychometric optimization techniques were then used to develop a robust and efficient 5-item test of ACL injury risk prediction skill—i.e., the ACL Injury-Risk-Estimation Quiz or ACL-IQ. Study 2 cross-validated the results from Study 1 in a larger representative sample of both skilled (Exercise Science/Sports Medicine) and un-skilled (General Population) groups. In accord with research on human expertise, quantitative structural and process modeling of risk estimation indicated that superior performance was largely mediated by specific strategies and skills (e.g., ignoring irrelevant information), independent of domain general cognitive abilities (e.g., metal rotation, general decision skill). These cognitive models suggest that ACL-IQ is a trainable skill, providing a foundation for future research and applications in training, decision support, and ultimately clinical screening investigations. Overall, I present the first evidence that observational ACL injury risk prediction is possible including a robust technology for fast, accurate and reliable measurement—i.e., the ACL-IQ. Discussion focuses on applications and outreach including a web platform that was developed to house the test, provide a repository for further data collection, and increase public and professional awareness and outreach (www.ACL-IQ.org). Future directions and general applications of the skilled movement analysis approach are also discussed.

Child injury in Brisbane South 1985-91: Implications for future injury surveillance

Specific childhood injury types are ranked by occurrence rate for mortality, hospital admission and emergency department attendance. Cases are drawn from the resident population of Brisbane South, 0-13 years of age, for the period 1 July 1985 to 30 June 1991. A total of 47,244 injuries, 7056 admissions and 99 deaths were analysed. The overall mortality rate was 12.6/100,000 per year (95% confidence interval (CI), 10.2-15.3), the overall admission rate was 911/100,000 per year (95% CI, 890-932) and the overall hospital attendance rate was 6013/100,000 per year (95% CI, 5958-6067). A fall was the most frequent injury mechanism for admissions and 65% of attendances involved injury in the child's own home. The surveillance data establish regional variation for childhood injury risk within Australia and identify an unexplained downward trend in head injury that requires further investigation. The future development of injury surveillance in Australia requires simplified coding which can be integrated into new computerized patient management information systems. Article in Journal of Paediatrics and Child Health 30(2):114-22 · May 1994

Exploring psychometric properties of the SF-6D, a preference-based health-related quality of life measure, in the context of spinal cord injury

PURPOSE: The validity of the SF-6D, a preference-based measure of health-related quality of life, is not well explored in the context of spinal cord injury (SCI). The aim of this analysis was to assess appropriate measurement properties of the SF-6D in a sample of individuals living with SCI. METHODS: Longitudinal data from the Rick Hansen Spinal Cord Injury Registry were used. Responses to the 36-item short-form health survey were transformed into SF-6D utility scores. We investigated practicality, floor and ceiling effects, and responsiveness to change. Responsiveness to change was explored using three different anchors that reflected changes in self-reported health, functional independence, and life satisfaction. Discriminative validity was assessed by ten a priori defined hypotheses, with a distinction made between 'strong' and 'weak' hypotheses. RESULTS: Three hundred and fifty-eight individuals with SCI were included in this analysis. Practicality was deemed acceptable based on a completion rate of 94%. The SF-6D showed low responsiveness to detect important health changes over time, and differences in responsiveness were found between individuals with paraplegia and tetraplegia. All five strong hypotheses and three weak hypotheses were confirmed. CONCLUSION: The SF-6D demonstrated good practicality and discriminative validity in this sample. The failure to detect self-reported and clinically important health changes requires further consideration. Comparative performance of the SF-6D (i.e., how the SF-6D performs against other preference-based measures) is unknown in the SCI context and requires further research.

Short form health surveys and related variants in spinal cord injury research : a systematic review

CONTEXT: 'Short Form' health surveys - such as the SF-36 and SF-12 - are widely used in medical research. Spinal cord injury (SCI) is no exception, despite oft-cited concerns regarding measurement properties for populations with physical impairment.OBJECTIVE: To provide a comprehensive overview of the use of Short Form health surveys and their variants within the SCI literature.METHODS: Papers published between database inception and September 2012 were identified from 11 electronic databases; a supplementary reference list search was also conducted. Data extraction focused on details regarding the range of different Short Form surveys and variants used in SCI research, the respective frequency of use, the nature of reporting (complete versus partial reporting) and the method of survey administration.RESULTS: One hundred seventy-four papers were identified. Thirty-six-item Short Form health surveys were frequently administered as complete instruments (n = 82); in 69 of these 82 studies (84%), it was not clearly stated which 36-item version had been used (e.g. SF-36v1, SF-36v2, RAND-36). Data for individual items and domains were often reported (29% of identified studies), indicating significant partial use of standardized measures. Modified variants of standardized health surveys were administered in 12 studies.CONCLUSION: Although standardized Short Form health surveys are common within SCI research, attempts to add, delete, or modify items have resulted in a number of variants, often with minimal supportive psychometric evidence. Using established, generic outcome measures is appealing for a number of reasons. However, validity is paramount and requires further explicit consideration within the SCI research community.

High body mass index is not a barrier to physical activity: Analysis of international rugby players' anthropometric data

Recent data indicate that levels of overweight and obesity are increasing at an alarming rate throughout the world. At a population level (and commonly to assess individual health risk), the prevalence of overweight and obesity is calculated using cut-offs of the Body Mass Index (BMI) derived from height and weight. Similarly, the BMI is also used to classify individuals and to provide a notional indication of potential health risk. It is likely that epidemiologic surveys that are reliant on BMI as a measure of adiposity will overestimate the number of individuals in the overweight (and slightly obese) categories. This tendency to misclassify individuals may be more pronounced in athletic populations or groups in which the proportion of more active individuals is higher. This differential is most pronounced in sports where it is advantageous to have a high BMI (but not necessarily high fatness). To illustrate this point we calculated the BMIs of international professional rugby players from the four teams involved in the semi-finals of the 2003 Rugby Union World Cup. According to the World Health Organisation (WHO) cut-offs for BMI, approximately 65% of the players were classified as overweight and approximately 25% as obese. These findings demonstrate that a high BMI is commonplace (and a potentially desirable attribute for sport performance) in professional rugby players. An unanswered question is what proportion of the wider population, classified as overweight (or obese) according to the BMI, is misclassified according to both fatness and health risk? It is evident that being overweight should not be an obstacle to a physically active lifestyle. Similarly, a reliance on BMI alone may misclassify a number of individuals who might otherwise have been automatically considered fat and/or unfit.

A Petrov-Galerkin method for a singularly perturbed ordinary differential equation with non-smooth data

In this paper, a singularly perturbed ordinary differential equation with non-smooth data is considered. The numerical method is generated by means of a Petrov-Galerkin finite element method with the piecewise-exponential test function and the piecewise-linear trial function. At the discontinuous point of the coefficient, a special technique is used. The method is shown to be first-order accurate and singular perturbation parameter uniform convergence. Finally, numerical results are presented, which are in agreement with theoretical results.