Effect of the surgical safety checklist on provider and patient outcomes: a systematic review.

Background: Despite being implemented for over a decade, literature describing the surgical safety checklist (SSC) is completed by operating room (OR) teams and how this relates to its effectiveness is scarce. This systematic review aimed to: (1) quantify how many studies reported SSC completion versus described the SSC was completed; (2) evaluate the impact of the SSC on provider outcomes (ommunication, case nderstanding, afety ulture, CUSC), patient outcomes (complications, mortality rates) and moderators of these relationships.

Methods: A systematic literature search was conducted using Medline, CINAHL, Embase, PsycINFO, PubMed, Scopus and Web of Science on 10 January 2020.

Predicting Short-Term Risk of Falls in a High-Risk Group With Dementia.

Objectives: To develop a prognostic model to predict the probability of a short-term fall (within the next 7 to 30 days) in older adults with dementia.

Design: Prospective observational study.

Setting And Participants: Fifty-one individuals with dementia at high risk of falls from a specialized dementia inpatient unit.

Assessment of Parkinsonian gait in older adults with dementia via human pose tracking in video data.

Background: Parkinsonism is common in people with dementia, and is associated with neurodegenerative and vascular changes in the brain, or with exposure to antipsychotic or other dopamine antagonist medications. The detection of parkinsonian changes to gait may provide an opportunity to intervene and address reversible causes. In this study, we investigate the use of a vision-based system as an unobtrusive means to assess severity of parkinsonism in gait.

Measuring Gait Variables Using Computer Vision to Assess Mobility and Fall Risk in Older Adults With Dementia.

Fall risk is high for older adults with dementia. Gait impairment contributes to increased fall risk, and gait changes are common in people with dementia, although the reliable assessment of gait is challenging in this population. This study aimed to develop an automated approach to performing gait assessments based on gait data that is collected frequently and unobtrusively, and analysed using computer vision methods.

Vision-Based Assessment of Gait Features Associated With Falls in People With Dementia.

Background: Gait impairments contribute to falls in people with dementia. In this study, we used a vision-based system to record episodes of walking over a 2-week period as participants moved naturally around their environment, and from these calculated spatiotemporal, stability, symmetry, and acceleration gait features. The aim of this study was to determine whether features of gait extracted from a vision-based system are associated with falls, and which of these features are most strongly associated with falling.