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OBJECTIVE: To determine the Fragility Index of hamstring injury risk factors, defined as the minimum number of participants who would need to change classification to make a hamstring injury risk factor statistically nonsignificant. DESIGN: Retrospective secondary data analysis. METHODS: Studies that investigated 1 or more risk factors for hamstring injury, and presented sufficient data to develop a 2 × 2 contingency table were included. A systematic literature search and reference screening of a recent hamstring injury systematic review were conducted to identify 78 articles. Relative risk and 95% confidence intervals were determined and then systematically recalculated by removing 1 observation from the high-risk injury count and adding it to the high-risk noninjury count. The Fragility Index for a risk factor was the number of observations required to be moved between groups until the relative risk was no longer significant. RESULTS: The median Fragility Index of all hamstring injury risk factors was 3 (Q1-Q3 = 2-6). The Fragility Index for nonmodifiable risk factors was 3 (Q1-Q3 = 2-6) and 3 (Q1-Q3 = 2-5) for modifiable risk factors. Over 35% of all included hamstring injury risk factors had a Fragility Index of ≤2. CONCLUSION: Most statistically significant hamstring injury risk factors are fragile associations. The interpretation of significant hamstring injury risk factors should consider a range of statistical metrics, and while the Fragility Index should never be considered in isolation, it is an intuitive measure to help assess the robustness of findings. J Orthop Sports Phys Ther 2024;54(10):672-678. Epub 4 September 2024. doi:10.2519/jospt.2024.12300 .

Introduction: In-person physiotherapy services are not readily available to all individuals with musculoskeletal conditions, especially those in rural regions or with time-intensive responsibilities. The COVID-19 pandemic highlighted that telehealth may facilitate access to, and continuity of care, yet many physiotherapists lack telehealth confidence and training. This project co-developed and evaluated a web-based professional development toolkit supporting physiotherapists to provide telehealth services for musculoskeletal conditions., Methods: A mixed-methods exploratory sequential design applied modified experience-based co-design methods (physiotherapists [n = 13], clinic administrators [n = 2], and people with musculoskeletal conditions [n = 7]) to develop an evidence-informed toolkit. Semi-structured workshops were conducted, recorded, transcribed, and thematically analysed, refining the toolkit prototype. Subsequently, the toolkit was promoted via webinars and social media. The usability of the toolkit was examined with pre-post surveys examining changes in confidence, knowledge, and perceived telehealth competence (19 statements modelled from the theoretical domains framework) between toolkit users (>30 min) and non-users (0 min) using chi-squared tests for independence. Website analytics were summarised., Results: Twenty-two participants engaged in co-design workshops. Feedback led to the inclusion of more patient-facing resources, increased assessment-related visual content, streamlined toolkit organisation, and simplified, downloadable infographics. Three hundred and twenty-nine physiotherapists from 21 countries completed the baseline survey, with 172 (52%) completing the 3-month survey. Toolkit users had greater improvement in knowledge, confidence, and competence than non-users in 42% of statements. Seventy-two percentage of toolkit users said it changed their practice, and 95% would recommend the toolkit to colleagues. During the evaluation period, the toolkit received 5486 total views., Discussion: The co-designed web-based Musculoskeletal Telehealth Toolkit is a professional development resource that may increase physiotherapist's confidence, knowledge, and competence in telehealth., (© 2023 The Authors. Musculoskeletal Care published by John Wiley & Sons Ltd.)