Introduction. Patient-reported outcome measures (PROMs) has gained momentum in the orthopaedic literature. The GOAL-LD (Gait Outcomes Assessment List for Limb Deformity) incorporates the framework of The WHO International Classification of Functioning, Disability and Health and correlates highly with the Paediatric Outcomes Data Collection Instrument (PODCI) when applied in a limb reconstruction setting. The Royal Children's Hospital Melbourne, Australia, supported by The University of Melbourne is designing and implementing a Limb Reconstruction Registry, prospectively enrolling patients with a number of key conditions and provide a mechanism for capturing surgical data and PROMs at regular follow-up intervals. LimbDREAM (The Limb Reconstruction Registry of Experience, Aspiration and Measures) has begun recruiting participants, and this paper serves as a narrative review of our design and implementation process. Materials & Methods. After provision of a research grant, audit was conducted to examine local case mix and estimate recruitment based on conditions selected. Literature review was focussed on (i) registries in the paediatric limb reconstruction domain and (ii) use of PROMs across conditions selected. A high-level process-flow chart was constructed in order to inform governance and staffing requirements in addition to REDCap Database structure. Local as well as scalable deployment was considered. Alpha and beta testing was performed by principal and associate investigators prior to participant recruitment. Results. Audit identified 6 condition streams for inclusion: Congenital limb deficiencies, congenital pseudarthrosis of the tibia, bone dysplasias, bone tumours, amputation, and complex deformity of other etiology. Literature review identified 20 PROMs used across these conditions, with limited validation studies and significant implementation heterogeneity. REDCap database design took longer than anticipated (planned 10 months, actual 18 months) before being recruitment ready, due to the complexity of ensuring data collection logic would work across highly diverse patient journeys. Initial recruitment across all streams has been promising. Email and
to determine the extent of Orthobullets use by orthopaedic residents in academic and clinical settings. We also wanted to determine whether its widespread use is the same in various training programs around the world and so we chose to survey two distinct programs without any academic or institutional ties. An electronic 9 question survey created using SurveyMonkey was sent to residents in two distinct Orthopaedic residency programs, either via
COVID-19 has compounded a growing waiting list problem, with over 4.5 million patients now waiting for planned elective care in the UK. Views of patients on waiting lists are rarely considered in prioritization. Our primary aim was to understand how to support patients on waiting lists by hearing their experiences, concerns, and expectations. The secondary aim was to capture objective change in disability and coping mechanisms. A minimum representative sample of 824 patients was required for quantitative analysis to provide a 3% margin of error. Sampling was stratified by body region (upper/lower limb, spine) and duration on the waiting list. Questionnaires were sent to a random sample of elective orthopaedic waiting list patients with their planned intervention paused due to COVID-19. Analyzed parameters included baseline health, change in physical/mental health status, challenges and coping strategies, preferences/concerns regarding treatment, and objective quality of life (EuroQol five-dimension questionnaire (EQ-5D), Generalized Anxiety Disorder 2-item scale (GAD-2)). Qualitative analysis was performed via the Normalization Process Theory.Aims
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