Diagnostic tools

Introduction
Stress and communication difficulties, both prone in people with dementia, are risk factors for challenging behaviour. Challenging behaviour negatively impacts the quality of life of people with dementia and their caregivers. Technology can help caregivers detect stress in people with dementia. However, implementation of these technologies is not always successful. The aim of this study is to explore the implementation opportunities for a garment-integrated sensor system that enables caregivers to identify early signs of stress in people with dementia.

Methods
A qualitative design with online focus groups (n=9) and interviews (n=21) with persons living with dementia (n=4), family (n=10) and professional caregivers (n=9) was used to collect stakeholders’ perceptions towards the sensor system and requirements for its implementation into long-term care. Participants took part in three focus groups or interviews, of which the last round focused on implementation. Qualitative data were analysed using inductive conventional content analysis.

Results
Participants were positive about the idea of a garment-integrated sensor system and could see several groups in both intramural and extramural healthcare settings benefit from the system. Besides early stress detection, participants also saw an added value of the system for the identification of triggers for challenging behaviour or for diagnostic purposes. According to participants, implementing the system in long-term care requires clear guidelines and agreements for its use, a trial period and educating caregivers. The sensor system needs to meet several requirements (e.g. customizability, ease of use) to increase user acceptance and thereby implementation success.

Conclusions
Participants perceive the idea of a garment-integrated sensor system for people with dementia in long-term care as positive. To increase implementation success, it is important to create an easy-to-use, tailor-made system, educate stakeholders, and establish clear guidelines for its use. The next step is to validate and implement the system in long-term care.

Introduction

One in four Care Home (CH) residents have diabetes, making diet crucial for controlling glucose levels (GLs). Continuous blood glucose monitoring (CGM) now offers deeper insights into GL fluctuations. Diabetes in severe frailty is often overtreated, particularly with insulin, posing risks such as hypoglycemia, avoidable hospital admissions, and labour-intensive clinical supervision. While protein and vegetables can slow glucose absorption, dietary advice for CH residents typically emphasizes carbohydrates and may not be tailored to their frailty. This study investigates the impact of modifying protein intake in insulin-using diabetics to improve glycaemic control.

Method

A small pilot study assessed if protein-rich foods (e.g. eggs, peanut butter) given for breakfast stabilise GLs throughout the day. Eight diabetic CH residents using insulin were randomly selected over four months. A diabetic frailty pharmacist monitored GLs with the CGM device (Freestyle Libre) and analysed GLs after a protein-rich breakfast. Descriptive analysis and t-tests were conducted using R before and after the food intervention, and ANOVA was used to analyse significant differences in GLs.

Results

Six out of eight patients showed statistically significant reductions in GL spikes, sustained throughout the day. For the remaining two patients, the food intervention helped maintain target GLs. This led to the discontinuation of insulin in one patient, and in the second, problematic frequent hypoglycemia was mitigated by the food intervention. Clinical decisions on patient safety influenced outcomes for these two patients but were not excluded from analysis.

Conclusion

Six of the eight residents given additional protein at breakfast showed significant GL reductions, leading to decreased insulin dosing and simpler regimes. Carers reported improvements in mood, sleep, and energy levels anecdotally. A holistic dietary approach in managing diabetes in CH residents, emphasizing increased morning protein intake, should be considered to enhance GL control and allow deprescribing. A larger study is planned.

Introduction

Delirium has a significant impact on morbidity and mortality. It is also associated with an increased level of institutionalisation at discharge and increased length of stay. Therefore, a diagnosis of delirium should always be considered with an assessment of risk factors. The aim of this project was to ensure 100% of patients on Geriatric wards have a diagnosis of delirium considered via the 4AT as per NICE guidelines.

Methods

A Plan-Do-Study-Act methodology was utilised with an initial audit exploring identification and documentation of delirium diagnosis. A Lanyard Prompt Card was then distributed to all physicians with the 4AT score illustrated. A departmental teaching session about Delirium was delivered to all juniors. A re-audit was conducted to assess impact.
 

Results

Of the 41 patients evaluated initially, 50.7% (21) were suspected to be delirious. Of these, 9.5% (2) had been assessed for delirium on the same day delirium was suspected. Of 38 patients, post-intervention audit revealed 36% (14) were suspected to be delirious and of these patients, 43% (6) had a 4AT score on the same day.

Key conclusions

This project revealed 4AT assessments were approximately tripled in patients suspected to be delirious post-interventions. There remains scope for improvement in confidence and skill of documenting assessments to meet the NICE recommendations and potential to explore barriers. Ultimately, we aim to expand across all medical and surgical wards to upskill all MDT members on identification and management of delirium

Introduction: Transcranial Doppler ultrasonography (TCD) and Near-Infrared spectroscopy (NIRS) are indirect measures of neurovascular coupling (NVC). NVC is the relationship between cerebral blood flow and neuronal activity to meet the metabolic demands of the brain. No studies have integrated TCD-NIRS to investigate the feasibility of measuring NVC in those with dementia, delirium, and depression.

Methods: 34 participants (median [IQR] age 73.0 [70.0,79.25], 52.9% female, healthy (HC, n=10), depression (n=11), dementia (n=8), delirium (n=5)), underwent continuous cerebral blood velocity measurements in the middle (dominant MCAv) and posterior (non-dominant PCAv) cerebral arteries using TCD at rest and in response to four tasks. Heart rate (3-lead ECG), end-tidal CO (nasal capnography), blood pressure (Finometer), and prefrontal oxygenated (HbO2) and deoxygenated (HbR) haemoglobin (NIRS) were also measured. NVC was determined as absolute change in MCAv (cm/s) or concentration change for an attention task (serial subtraction), passive motor (arm movement) and passive sensory task (cotton wool), or PCAv for a visuospatial task (dot counting). We determined differences in NVC by a mixed two-way repeated measures analysis of variance, with post-hoc testing via Tukey.

Results: Resting CBv (cm/s) was significantly different between groups in MCAv (HC: 53.9 (SD=8.09), depression: 41.9 (9.31), dementia: 42.5 (13.7), delirium: 32.6 (7.48), p=0.002) and PCAv (p=0.045), after correction for age and BP (p=0.011). TCD: initial NVC responses increased for all three groups (delirium excluded) for all tasks (20-30s), (p=0.021), but with no main effect of diagnosis. NIRS: There was a significant difference between tasks for the HbO2 and HbR responses (p=0.036, p=0.029). Diagnosis had a significant effect on the HbR response only (p=0.027).

Conclusion: An integrated TCD-NIRS protocol was feasible in these patient groups to measure NVC, but less-so in delirium. Further work is needed to investigate NVC using integrated TCD-NIRS in larger sample sizes.

Introduction:

Delirium, an acute neuropsychiatric syndrome, affects one in four hospitalised older adults. Effective management requires timely detection using validated tools and a structured approach to causes and sequelae. There is limited evidence on contextual factors surrounding assessment tool implementation and delirium management. The primary aim of this study was to describe the use of validated delirium assessment tools across Scotland, with a secondary aim of describing protocols for delirium management and barriers to implementation.

Methods:

This was a secondary analysis of national Scottish data from a global point-prevalence study conducted on World Delirium Awareness Day, March 15, 2023. Data were collected via an anonymous survey distributed through social media and professional networks, covering inpatients in acute hospitals, including ICUs, at two timepoints (8am/8pm). The survey collected data on the presence of delirium, delirium assessment tools used, management protocols, and barriers to effective delirium care.

Results:

A total of 120 survey responses were received from 13 hospitals, reporting on 3257 patients at 8am and 2436 patients at 8pm. Most respondents were doctors (72.5%). The most frequently reported assessment tool was the 4AT (75%), and 14.2% of units reported using personal judgement rather than a validated tool. The overall delirium prevalence was 22.3% at 8am and 23.2% at 8pm, with the highest rates observed in geriatric units. Most units had delirium management protocols, but reported barriers to implementing delirium assessment and management including staff shortages, lack of time and insufficient training.

Conclusion:

This study highlights widespread use of the 4AT for delirium assessment in Scotland. There is variation in existing delirium management protocols, and significant barriers remain to effective implementation. Findings emphasise need for ongoing awareness, education, and resources to improve delirium care. Future research should focus on developing delirium management protocols and exploring context-specific barriers to improve patient outcomes.

Introduction:

Falls account for 17% of emergency department (ED) attendances and cause significant morbidity and mortality in older people. An accurate falls risk assessment can identify those at risk of inpatient falls. At Northumbria Healthcare NHS Foundation Trust, the ‘Avoiding Falls Level of Observation Assessment Tool’ (AFLOAT) was developed to identify patients requiring higher levels of observation to prevent falls (Richardson DA. ClinMed (Lond). 2020; 20(6): 545-550). Whilst AFLOAT was commonly used for inpatients, it was rarely completed in ED. A multi-disciplinary and inter-speciality group was formed from ED and Geriatric Medicine teams aiming to improve falls risk assessment for elderly patients within ED.

Aim:

To improve completion of AFLOAT to >70% for patients >75 years admitted to ED

Method:

Of ED attendees > 75 years from RCEM QIP data, 6 patients were randomly selected daily from December 2023 - January 2024 to assess AFLOAT completion. Those attending during the Holiday period and NEWS scores >6 were excluded. Educational interventions were implemented in January 2024 involving face-to-face teaching for all clinical staff in ED and posters placed in the ED seminar room. Data was re-collected for February 2024 and is ongoing for subsequent months. Results: 19.12% of patients had AFLOAT recorded between December 2023 – January 2024. Following our interventions, in February 2024 AFLOAT completion rates rose to 24.69%.

Conclusions:

Whilst improvement has been seen after interventions, we have not yet achieved our target of 70%, suggested ongoing actions: • Questionnaire amongst ED staff on AFLOAT to promote familiarity and look for reasons for incompletion. • Add an electronic prompt into clerking and falls proformas. • We have asked technicians to remove a comment on AFLOAT implying that it should only be completed by nurses. • Attend Junior Doctor inductions to broadcast completion of AFLOAT. Ongoing PDSA cycles in progress.

Introduction: The Centre for Perioperative Care recommends the assessment and documentation of delirium using a validated tool such as the 4-AT in older people undergoing surgery.

Aim: This quality improvement project (QIP) aimed to improve the assessment and documentation of delirium in patients aged 65 and above following vascular surgery in a tertiary centre.

Methods: Patients aged ≥65 years who had undergone vascular surgery were identified and data was collected with access to the electronic patient record system. Analysis was carried out using Microsoft Excel and SPSS. Following baseline measurements taken in August 2023, 1 plan-do-study-act (PDSA) cycle was completed between September 2023-January 2024.

Baseline measures: Baseline data collected between August 1-31st 2023 identified 51 patients, of which delirium was screened using the 4-AT tool in 39.2% (n=20), on average 90 hours post-operatively. The 4-AT was never documented in a consultant-led surgical post-operative review (100%,n=51). There were clinical concerns of post-operative delirium documented in 7 patients, with the 4-AT documented in 5 of those cases.

Intervention: Interventions included stakeholder discussions to identify key barriers in the assessment and documentation of delirium, multidisciplinary team education and poster reminders across the ward. These were introduced between November-December 2023.

Results: Post-intervention results reviewed between 10th-31st January 2024 showed that the 4-AT was used to screen for delirium in 61.9% of patients (n=13), on average 45 hours post-operatively. The 4-AT was never documented in a consultant-led surgical post-operative review. In addition, 2 patients developed delirium post-operatively with the 4-AT reported in both cases.

Conclusions: This QIP has demonstrated a marked improvement in compliance with national guidelines on the assessment of delirium, highlighting the impact of multidisciplinary education in improving the perioperative clinical pathway for older people undergoing surgery. Future PDSA cycles will focus on improving the documentation of 4AT in the post-operative surgical review.

Introduction:

Parkinson’s disease (PD) patients with or without psychosis are at higher risk of recurrent falls and fracture and as a consequence higher mortality and morbidity NICE (13) Henderson et al. (2019). We conducted a qualitative study to understand barriers and facilitators of introducing ‘bone health assessment’ for PD patients.

Method

We conducted a pilot study to identify and implement a bone health assessment tool to communicate falls and fracture risks to GPs. • SWOT and Stakeholder analysis was conducted to identify an appropriate bone health assessment tool . • PDSA cycles were completed to assess barriers and facilitators of bone health assessment in all PD clinical areas. • 4 Participants were identified from all possible PD clinical settings and trained on how to use the FRAX assessment tool. • Semi structured interviews were conducted to explore themes from 6 week pilot study.

Results

Bone health assessments were not conducted routinely in PD clinical settings in our Trust Literature review/ SWOT and Stake holder analysis identified ‘FRAX’ score as an appropriate bone health assessment tool for PD patients. Interviews with participants identified time constraints during the clinical consultation as a major barrier to conducting bone health assessment using the FRAX assessment tool. All participants agreed that this improved communication with patients and GPs in understanding bone health and risk of falls and fractures. Face to face PD Nurse Clinics were deemed the most appropriate clinical settings for these assessments.

Conclusion

As a result of this service improvement project bone health is now assessed in all PD Nurse clinics. This has enabled GPs to start the most appropriate bone protection treatment for PD patients

Introduction: Delirium affects up to 50% of older individuals within hospital environments, with a notable occurrence in 30% of those aged 65 and above in emergency departments. This QIP aimed to enhance the early recognition of delirium by implementing the 4AT assessment and optimize assessments and investigations by implementing the Delirium Bundle.

Methodology: A survey involving 39 doctors was conducted to evaluate their comprehension of delirium and awareness of the Delirium Bundle. PDSA 1 involved retrospective data analysis of medical records for patients admitted with delirium and used as a preliminary baseline to evaluate how the delirium bundle is being utilized. PDSA 2 integrated multiple teaching sessions and the implementation of the Delirium Bundle, assessing the effectiveness of these interventions.

Results: In PDSA 1, twenty-nine patients were identified. None of the patients had a 4AT assessment done. Twenty patients (69%) had a hematological screen done, eight patients (27%) had an ECG done, twenty patients (69%) had a CXR done, eighteen patients (62%) had an MSU test done, eight patients (28%) had cultures done, and twenty-three (79%) had a CT head scan done. In PDSA 2, thirty patients were identified. Seven patients had a 4AT assessment done, sixteen patients (53%) had a hematological screen done, nineteen patients (63%) had an ECG done, twenty-two patients (73%) had a CXR done, fifteen patients (50%) had an MSU test done, fourteen patients (47%) had cultures done, and 20 patients (67%) had a CT head scan done.

Conclusion: The implemented changes showed effectiveness with increased 4AT assessments and enhanced confusion screening. Improvements in assessments and investigations for diagnosed delirium patients were evident. To further enhance efforts, future initiatives include incorporating the 4AT assessment in clerking booklets, conducting continuous teaching sessions, and displaying posters in relevant wards.

Older people with diabetes are often admitted with falls, dizziness or confusion that may stem from undiagnosed episodes of hypoglycaemia. We examined the use of a 10-day period of round the clock glucose monitoring (CGM), to detect hypoglycaemia in older people with diabetes with symptoms potentially related to hypoglycaemia. 

Methods 

Population: Age 75 years and older, on sulfonylureas and/or insulin, presenting to hospital with a fall and/or symptoms suggestive of unrecognised hypoglycaemia. 

Design: Single-centre, observational study (no change to standard diabetes care). Intervention: 10 days of CGM with Dexcom G6 sensor and Android app on smartphone to continuously transmit data. 

Primary outcomes: Proportion of participants with captured hypoglycaemia; within that group, time spent in the hypoglycaemic range (Battelino T, Danne T, Biester T, et al. Diabetes Care. 2019;42(8):1593-603.). 

Secondary outcomes: Overall time in range; emergency department re-attendances and/or hospital re-admissions for falls, fractures, heart attacks, ischaemic strokes and death within 30 days. REC IRAS project ID: 301286. 

Results 

26 eligible participants of which 13 consented to participate. At the time of writing, nine participants (mean age 81 years) completed the study.

There were no reports of pain or skin reactions from the participants.

Hypoglycaemic events were captured in 3 of 9 participants, with two participants suffering >1 hour below 3.9mmol/L. Only 3 participants achieved >50% time in range target (3.9-10.0mmol/L). 

Discussion 

We have detected significant hypoglycaemic episodes in our participants. CGM should be used more widely in older patients with diabetes who present with falls, dizziness or confusion. 

Limitations include issues around data capture due to participants struggling to navigate the mobile phone app. Despite this, all participants felt that CGM was better than finger-prick glucose testing. Future work is needed to explore how CGM can be deployed after acute admissions in this patient group.