The circumstances of falls among people with Parkinson's disease and the use of Falls Diaries to facilitate reporting

Purpose: falls are common in Parkinson's disease (PD). Falls Diaries are one way of recording fall frequency and the surrounding circumstances; completing them encourages recall, and their content focuses intervention. We reviewed the diaries completed by people with PD during a randomized controlled trial (RCT) of fall prevention to ascertain the key circumstances surrounding falls.Method: we asked independently mobile, cognitively intact people with a diagnosis of PD to maintain a Falls Diary throughout a six-month RCT. We sent monthly diary sheets on which to answer questions about the 'Location', 'Fall-related activity', 'Perceived cause', 'Landing' and 'Consequences' of every fall. We coded responses and counted frequencies.Results: of the 142 RCT participants (mean age 72 years; mean years since diagnosis 8), 135 completed the trial and their diary. We excluded 11 (8%) for missing data and/or unintelligible writing. The 124 remaining diaries recorded 639 falls: 80% happened at home, commonly in bedrooms, living areas, kitchens and gardens. Fallers had been ambulant in 45% of events, standing in 32% and transferring in 21%. Six 'activity-cause combinations' accounted for 55% of falls (tripping 13%; freezing, festination and retropulsion 11%; and postural instability when bending or reaching 9%, transferring 8%, walking 7% and washing or dressing 7%). Misjudgement and distraction played a part in 12% of falls described.Conclusions: of over 600 falls surveyed, most happened at home, provoked by postural instability, tripping and freezing. Environmental adaptation and cognitive training should be trialled in falls prevention in PD, plus or minus traditional movement rehabilitation. Most participants completed Falls Diaries successfully. We advocate diary use, with follow-up interviews, in research and clinically. People with handwriting difficulty may require a typed diary, proxy diarist or intervie

Experiences of using artificial intelligence in healthcare: a qualitative study of UK clinician and key stakeholder perspectives

Objectives Artificial intelligence (AI) is a rapidly developing field in healthcare, with tools being developed across various specialties to support healthcare professionals and reduce workloads. It is important to understand the experiences of professionals working in healthcare to ensure that future AI tools are acceptable and effectively implemented. The aim of this study was to gain an in-depth understanding of the experiences and perceptions of UK healthcare workers and other key stakeholders about the use of AI in the National Health Service (NHS).Design A qualitative study using semistructured interviews conducted remotely via MS Teams. Thematic analysis was carried out.Setting NHS and UK higher education institutes.Participants Thirteen participants were recruited, including clinical and non-clinical participants working for the NHS and researchers working to develop AI tools for healthcare settings.Results Four core themes were identified: positive perceptions of AI; potential barriers to using AI in healthcare; concerns regarding AI use and steps needed to ensure the acceptability of future AI tools. Overall, we found that those working in healthcare were generally open to the use of AI and expected it to have many benefits for patients and facilitate access to care. However, concerns were raised regarding the security of patient data, the potential for misdiagnosis and that AI could increase the burden on already strained healthcare staff.Conclusion This study found that healthcare staff are willing to engage with AI research and incorporate AI tools into care pathways. Going forward, the NHS and AI developers will need to collaborate closely to ensure that future tools are suitable for their intended use and do not negatively impact workloads or patient trust. Future AI studies should continue to incorporate the views of key stakeholders to improve tool acceptability.Trial registration number NCT05028179; ISRCTN15113915; IRAS ref: 293515

PROTEUS Study: A Prospective Randomized Controlled Trial Evaluating the Use of Artificial Intelligence in Stress Echocardiography.

BACKGROUND: Stress echocardiography (SE) is one of the most commonly used diagnostic imaging tests for coronary artery disease (CAD) but requires clinicians to visually assess scans to identify patients who may benefit from invasive investigation and treatment. EchoGo Pro provides an automated interpretation of SE based on artificial intelligence (AI) image analysis. In reader studies, use of EchoGo Pro when making clinical decisions improves diagnostic accuracy and confidence. Prospective evaluation in real world practice is now important to understand the impact of EchoGo Pro on the patient pathway and outcome. METHODS: PROTEUS is a randomized, multicenter, 2-armed, noninferiority study aiming to recruit 2,500 participants from National Health Service (NHS) hospitals in the UK referred to SE clinics for investigation of suspected CAD. All participants will undergo a stress echocardiogram protocol as per local hospital policy. Participants will be randomized 1:1 to a control group, representing current practice, or an intervention group, in which clinicians will receive an AI image analysis report (EchoGo Pro, Ultromics Ltd, Oxford, UK) to use during image interpretation, indicating the likelihood of severe CAD. The primary outcome will be appropriateness of clinician decision to refer for coronary angiography. Secondary outcomes will assess other health impacts including appropriate use of other clinical management approaches, impact on variability in decision making, patient and clinician qualitative experience and a health economic analysis. DISCUSSION: This will be the first study to assess the impact of introducing an AI medical diagnostic aid into the standard care pathway of patients with suspected CAD being investigated with SE. TRIAL REGISTRATION: Clinicaltrials.gov registration number NCT05028179, registered on 31 August 2021; ISRCTN: ISRCTN15113915; IRAS ref: 293515; REC ref: 21/NW/0199