Publications by authors named "K Delbaere"
Background: Despite the promise wearable technology offers through detailed insight into mobility and fall risk, timely identification of high risk, assessment of risk severity, evaluation of clinical interventions, and potential to redefine the assessment of behaviours which influence health, they are not routinely used in clinical practice.
Objective: Establish consensus on how wearable technology can be applied to support clinical care for people aged 50 and over experiencing changes to mobility and/or who are at increased risk of falling.
Methods: A Delphi study was conducted among 17 hospital-based health professionals.
Exploring how falls prevention practitioners assess and manage concerns about falling.
Eur Geriatr Med
December 2024
Background: Concerns about falling (CaF) are common in older adults. They can lead to various negative outcomes, including an increased risk for future falls. The Worlds Falls Guidelines recently published recommendations for assessing and treating CaF.
View Article and Find Full Text PDFMulti-site pain is common in people aged 60 years and over and is associated with a high risk of falls. To prevent and treat pain-related disabilities, it is crucial to identify the mechanisms underlying these associations. There is some evidence that pain leads to changes in walking, such as slower gait speed and shorter walking distance, which impair mobility and may increase the risk of falls.
View Article and Find Full Text PDFArticle Synopsis
- Concerns about falling (CaF) are widespread among older adults, particularly those with knee or hip osteoarthritis (OA), impacting their physical activity and social interactions.
- A study analyzed data from 7442 patients with OA, revealing that 48.1% had moderate CaF while 11.3% experienced high levels, with increased prevalence among older individuals and females.
- Pain, reduced physical function, and fear of movement were significantly linked to higher CaF, suggesting the need for integrating CaF assessments in OA management in primary care settings.
Background: We conducted a secondary analysis of a cohort study to examine the World Falls Guidelines algorithm's ability to stratify older people into sizable fall risk groups or whether minor modifications were necessary to achieve this.
Methods: Six hundred and ninety-three community-living people aged 70-90 years (52.4% women) were stratified into low, intermediate and high fall risk groups using the original algorithm and a modified algorithm applying broader Timed Up and Go test screening with a >10-s cut point (originally >15 s).