Background Recovery trajectories support early identification of delayed recovery and can inform personalized management or phenotyping of risk profiles in patients. The objective of this study was to investigate the trajectories in pain severity and functional interference following non-catastrophic musculoskeletal (MSK) trauma in an international, mixed injury sample. Methods A prospective longitudinal cohort of n= 241 was formed from patients identified within 4 weeks of trauma, from attendance at emergency or urgent care centres located in London, ON, Canada, or Chicago, IL, USA. Pain interference was measured via the Brief Pain Inventory (London cohort) or the Neck Disability Index (Chicago cohort). Pain severity was captured in both cohorts using the numeric pain rating scale. Growth mixture modeling and RM ANOVA approaches identified distinct trajectories of recovery within pain interference and pain severity data. Results For pain interference, the 3 trajectories were labeled accordingly: Class 1 = Rapid recovery (lowest intercept, full or near full recovery by 3 months, 32.0% of the sample); Class 2 = Delayed recovery (higher intercept, recovery by 12 months, 26.7% of the sample); Class 3 = Minimal or no recovery (higher intercept, persistently high interference scores at 12 months, 41.3% of the sample). For pain severity, the 2 trajectories were labeled: Class 1 = Rapid recovery (lower intercept, recovery by 3 months, 81.3% of the sample); and Class 2 = Minimal or no recovery (higher intercept, flat curve, 18.7% of the sample). The “Minimal or No Recovery” trajectory could be predicted by female sex and axial (vs. peripheral) region of trauma with 74.3% accuracy across the 3 classes for the % Interference outcome. For the Pain Severity outcome, only region (axial trauma, 81.3% accuracy) predicted the “Minimal or No Recovery” trajectory. Conclusions These results suggest that 3 meaningful recovery trajectories can be identified in an international, mixed-injury sample when pain interference is the outcome, and 2 recovery trajectories emerge when pain severity is the outcome. Females in the sample or people who suffered axial injuries (head, neck, or low back) were more likely to be classed in poor outcome trajectories.
As institutions of higher learning focus on positioning strategically in the global and online education market, it is critical for academic libraries to realize their roles in supporting the institutional missions, one of which is to assist scholars, faculty, and students, regardless of location. This responsibility is fulfilled not only through the talents and dedication of librarians and library staff, but also with technology. The Brooklyn Campus Library of Long Island University (LIU) seized the opportunity and took a proactive approach to providing library resources and services to the university's Global College (GC) community. After carefully evaluating the needs of faculty and students across the globe, the authors recount how the library supports the teaching and learning activities of this unique user group. A library portal enables users at various international sites to use the library's abundant resources and customized services with ease, as well as to ensure that the library serves the Global College's mission of scholarly achievement. This article describes the LIU Brooklyn Campus Library's efforts to promote and implement customized resources and services to users on different continents.
Objectives: To develop and validate a short form, disease-specific version of the KOOS appropriate for the young active ACL deficient population: the KOOS-ACL. Methods: A baseline dataset of 605 young patients (< 25 years) with ACL tears was divided into a development and validation sample. Exploratory factor analyses were conducted in the development sample to identify the underlying factor structure and reduce the number of KOOS items based on statistical and conceptual indicators. Confirmatory factor analyses were conducted to check fit indices of the proposed KOOS-ACL model in both samples. Structural validity, reliability, and responsiveness to change were assessed in the full sample at five timepoints: baseline and 3 months, 6 months, 12 months and 24 months post-operatively. Results: Two factors were deemed most appropriate for the KOOS-ACL: Functionality and Sport. Fifteen items were removed from the full length KOOS based on discriminant validity (i.e., lack of distinctiveness between some proposed constructs) and another fifteen items were removed for repetitive content. The final KOOS-ACL model showed acceptable structural validity (CFI and TLI > 0.9, RMSEA and SRMR < 0.08), internal consistency reliability (a > 0.8), and responsiveness to change (effect size > 0.8) at all five timepoints in the dataset. The KOOS-ACL showed strong and significant correlations to the original KOOS and IKDC at all timepoints (r > 0.7). Conclusions: The new KOOS-ACL questionnaire contains 12 items and two subscales relevant to young active ACL patients. The KOOS-ACL would reduce patient burden by more than two thirds and provides improved structural validity compared to the full length KOOS while maintaining adequate psychometric properties and relatedness to other popular outcome measures currently used following ACL injuries. The KOOS-ACL may be a more relevant outcome to use with young active ACL patients within the two years of surgery.
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