Publications by authors named "D J Senn"
Article Synopsis
- The SMACC checklist was created to guide the development and evaluation of self-management support programs for people with chronic conditions and was validated through an international Delphi study.
- The study involved two rounds of feedback from 54 professionals in self-management, focusing on clarity, relevance, and alignment with the checklist's goals, achieving a consensus on the majority of items.
- Ultimately, the SMACC checklist was affirmed as a valid resource that can effectively enhance existing frameworks for self-management support in research and clinical settings.
Article Synopsis
- Giant cell arteritis (GCA) is the most common large vessel vasculitis, making its diagnosis challenging, necessitating scoring systems to help clinicians assess patient risk.
- A retrospective study analyzed medical records of patients referred for temporal artery biopsy (TAB) and ultrasound (USS) for suspected GCA from June 2014 to January 2019, including 174 patients after excluding those with prior diagnoses.
- Results indicated that the scoring system effectively predicted biopsy-positive GCA outcomes, with no misclassifications in the low-risk biopsy group, while 8% of the low-risk ultrasound group were misclassified, showing the need for careful assessment in ultrasound results.
The acute traumatic rupture of the tibialis posterior tendon in association with closed ankle fractures is rare and often under-recognised. If recognised early, outcomes can be excellent. There are 28 known cases in the literature, and we report two further cases associated with bimalleolar ankle fracture dislocation.
View Article and Find Full Text PDFEffective stewardship of ecosystems to sustain current ecological status or mitigate impacts requires nuanced understanding of how conditions have changed over time in response to anthropogenic pressures and natural variability. Detecting and appropriately characterizing changes requires accurate and flexible trend assessment methods that can be readily applied to environmental monitoring datasets. A key requirement is complete propagation of uncertainty through the analysis.
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