Scientific Research

Introduction: Evidence of the optimal blood pressure target for older people with disability in long-term care is limited. We aim to estimate the associations of blood pressure with all-cause and cause-specific mortality in older people with different profiles of disability.

Methods: This prospective cohort study was based on the government-led long-term care program in Chengdu, China, including 41,004 consecutive disabled adults aged ≥ 60 years. The association between blood pressure and mortality was analyzed with doubly robust estimation, which combined exposure model by inverse probability weighting and outcome model fitted with Cox regression. The non-linearity was examined by restricted cubic spline. The primary endpoint was all-cause mortality, and the secondary endpoints were cardiovascular and non-cardiovascular mortality.

Results: The associations between systolic blood pressure (SBP) and all-cause mortality were close to a U-shaped curve in mild-moderate disability group (Barthel index ≥ 40), and a reversed J-shaped in severe disability group (Barthel index < 40). In mild-moderate disability group, SBP < 135 mmHg was associated with elevated all-cause mortality risks (HR 1.21, 95% CI, 1.10-1.33), compared to SBP between 135-150 mmHg. In severe disability group, SBP <150 mmHg increased all-cause mortality risks (HR 1.21, 95% CI, 1.16-1.27), compared to SBP between 150-170 mmHg. The associations were robust in subgroup analyses in terms of age, cardiovascular comorbidity and antihypertensive treatment. Diastolic blood pressure (DBP) < 67 mmHg (HR 1.29, 95% CI, 1.18-1.42) in mild-moderate disability group and < 79 mmHg (HR 1.15, 95% CI, 1.11-1.20) in severe disability group both demonstrated an increased all-cause mortality risk.

Conclusion: The optimal blood pressure range was higher in older long-term care people with severe disability than those with mild-moderate disability. This study provides new evidence for optimal individualized management of blood pressure in disabled older people in long-term care settings.

Background: Clinical pharmacists are increasingly working as part of primary care teams in UK. Many people living with dementia live at home with the support of primary care. Given the complexity of their health problems and their use of several medications, clinical pharmacists may potentially play a crucial role in their support Aims: To explore clinical pharmacists’ experiences of working in primary care with people living with dementia and identify any specific training needs to provide effective support for this patient group.

Methods: An online survey sent via email in 2023 through professional organisations, social media, and utilising research team contacts. The survey covered topics including clinical pharmacists’ background, experience of working with people with dementia, and training needs.

Results: 57 clinical pharmacists responded to the survey; the meantime working as a clinical pharmacist was 9.6 years (standard deviation 8.6) and within a primary care setting was 6.1 years (standard deviation 6.1). Just over three-quarters of respondents (n=31, 77%) work with people living with dementia. While almost two thirds (n=35, 61%) had undertaken training for dementia care, such training often lasted a few hours (less than a day) (n=17, 49%). Most respondents (n=39, 89%) wanted further information or training; including non-pharmacological interventions to improve quality of life in dementia and how to support carers and relatives. Practice challenges reported included a lack of face-to-face consultations and getting assurance that the patient could safely take medications.

Conclusions: These findings indicate an interest in dementia care, a willingness to undertake further training but practice uncertainties that suggest a system approach might be beneficial.

Introduction: Turning is essential to mobility, constituting 35-45% of all daily steps. Falls during turning are more severe with 7.9x greater risk of hip fracture. Reduced quality of turning has been observed in people with Parkinson’s disease (PwP). Findings suggest head and trunk control during turning are different in PwP compared to controls, however it is unclear how this relates to clinical measures. Methods: 36 PwP completed an intermittent walking task with 180 degree turns (ICICLE-Gait). An inertial measurement unit attached to the head evaluated head rotations (>30 degrees). Turning features were extracted using a validated algorithm. Spatiotemporal (duration, velocity) and signal-based features reflecting movement intensity (root mean square [RMS] in the mediolateral [ML], anterior-posterior [AP] and vertical [VT] planes from the gyroscope) were extracted. Relationships between turning and clinical measures (Activities of Balance confidence (ABC), Mini Mental State Exam (MMSE), Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) II and III, Levodopa Equivalent Daily Dose (LEDD)) were evaluated using Spearman’s rho. Results: There were 2/6 spatiotemporal and 13/25 signal features with weak-to-moderate correlations with clinical measures. Lower cognition and reduced balance confidence were associated with slower head rotations (rho=0.416-465, p<.05) and lower head movement intensity (lower rms: rho=0.340, p<0.05). higher disease severity (higher mds updrs-ii, iii scores) was associated with slower rotations (rho="-0.322:-0.436," p<0.05) increased ledd greater conclusion: rotation velocity are important features of turning that correlate clinical outcomes relevant in parkinson’s. places a demand on sensory, cognitive motor systems which affected pwp. further analysis will explore whether correlations exist for other segments during (i.e. torso), (such as axial rigidity), gait. 

Introduction: Functional decline and restricted mobility are common issues among nursing home residents with dementia, resulting in frequent use of physiotherapy services. While these residents can typically articulate their therapy needs and preferences, these have not been investigated properly regarding physiotherapy and exercise, which may compromise therapy adherence. This study aims to explore the needs and preferences of nursing home residents with mild to moderate dementia in relation to physiotherapy and exercise interventions.

Methods: Semi-structured individual interviews were conducted with 15 nursing home residents diagnosed with mild to moderate dementia, who could understand and speak Dutch and were capable of providing informed consent. Thematic analysis was used to analyze interview data.

Results: A total of 82 unique codes were identified from the interviews, leading to four major themes: preferences regarding physiotherapy sessions; defining physiotherapy and exercise; exercise without physiotherapist supervision; communication. Generally, residents preferred physiotherapy that included exercise and advice aimed at maintaining independent physical functioning. Participants perceived physiotherapy as more intense compared to gymnastics classes, and it was not seen as applicable to all individuals. If safety and quality were ensured, exercises could be performed without physiotherapist supervision. While residents wanted their family caregivers to stay informed about their therapy, they mostly preferred to exercise with someone else.

Conclusions: Residents in our study expressed preferences regarding physiotherapy sessions, communication, and family caregiver involvement, which when implemented may enhance therapy adherence and effectiveness. Furthermore, a shift toward a more supervisory role for the physiotherapist, rather than the conventional "hands-on" approach, emerged as a possibility.

Introduction

Increasing prevalence of people living with frailty is a key challenge to healthcare providers. One solution may be virtual wards (VWs). Our research sought to: examine different frailty VW models; and determine how, why and under what circumstances VWs may work effectively. During our early research, NHS England (NHSE) started roll-out of short-term VWs intended to treat acute patients with frailty crises at home instead of hospital. We expected our work to inform NHSE policy, especially how to ‘do’ VWs better.

Methods

We conducted a rapid realist review of frailty VWs, searching published and grey literature for evidence on multidisciplinary VWs based in the UK, using a literature-based definition of VWs. Information on how and why VWs might ‘work’ was extracted and synthesised iteratively into context-mechanism-outcome configurations (CMOCs). Throughout we engaged closely with clinicians and patient/public contributors. The iterative nature of the realist review led to emerging understanding.

Results

From 28 documents, we identified two VW models: longer-term, proactive care wards admitting patients at high risk of a frailty crisis; and short-term reactive care wards for people experiencing a frailty crisis. Using evidence from both models, we generated 12 CMOCs, under three themes. First, building blocks for effective VW operation (e.g. common standards agreements, information sharing, a multidisciplinary team planning patient care remotely). Second, how the VW delivers the frailty pathway (e.g. patient selection, assessment, proactive care). Third, Patient/Caregiver empowerment. Mechanisms included motivating professionals (e.g. a ‘team-of-teams’); buy-in; building relationships: professionals, patients and caregivers. VWs should be set within frailty management guidance, and a whole-system approach to care is needed. For sustainability of VWs, proactive care for people at high risk of a frailty crisis should be provided.

Conclusions

This review has implications for optimal implementation and sustainability of frailty VWs, through proactive care and a whole system approach.

Introduction:

Recording dementia diagnoses is essential to ensure appropriate post-diagnostic support and care. We examined the prevalence of recorded dementia in different routine datasets and associations with emergency hospitalisation and mortality.

Methods:

This retrospective longitudinal cohort study included all adults ≥65 years registered with a Southeast Scotland GP on 1st April 2016. Dementia diagnoses were identified in primary care, hospital discharge and community prescribing records. New diagnoses were considered from 1st April 2016 to 1st April 2020. All individuals were followed up to 23rd October 2023. Cox proportional hazards and Fine-Gray models were used to estimate associations between recorded dementia and death and emergency hospitalisation, respectively. Diagnosis capture in other datasets was examined, accounting for mortality.

Results:

On 1st April 2016, 7544/133407 (5.7%) individuals had a recorded dementia diagnosis: 1254 (16.6%) in a single dataset, including 940 (12.5%) only in primary care and 279 (3.7%) in hospital data. Between 1st April 2016 to 1st April 2020, 7359/133,407 (5.8%) had a new diagnosis: 5165 (70.2%) first recorded in primary care, 1634 (22.2%)in hospital and 560 (7.6%)in community prescribing data. People with dementia had higher risks of death [adjusted hazard ratio (HR) 2.46 (95% Confidence Interval (CI) 2.39-2.54)] and emergency hospitalisation [adjusted subdistribution HR 1.58 (95%CI 1.56-1.60)] then those without dementia. People with diagnoses first recorded in hospital had higher mortality rates than those with community diagnoses [<30days: aHR 8.96 (95%CI 6.94-13.52); >365days: aHR 1.29 (95%CI 1.19-1.41)]. Only 562 (35.9%) of those with hospital diagnoses had recorded primary care diagnoses within a year.

Conclusions:

Dementia is often recorded in single datasets, sometimes only in hospital data. Dementia is associated with adverse prognosis, with highest mortality in those first diagnosed in hospital. Findings highlight the need for better recording, dataset integration and scrutiny of hospital-based diagnostic pathways to ensure appropriate post-diagnostic support and care.

Background:

Frailty has both health + health economic consequences. There are however few data concerning occurrence of frailty in different ethnic groups in the United Kingdom (UK). The aim of this analysis was to determine frailty prevalence across an ethnically diverse city and to explore the influence of age/social-disadvantage/ethnicity on occurrence. We looked also at frailty related risk of severe illness in relation to COVID-19 infection.

Methods:

Using data from the Greater Manchester Health Record(GMCR), we defined frailty index based on the presence/absence of up to 36 deficits scaled 0-1. We defined frailty based on those with 9 or more deficits (out of total=36) and electronic frailty index (eFi) as the total number of deficits present, divided by 36 (range 0-1).

Results:

There were 534567 people aged 60+years on 1January2020 in Greater Manchester. There was noticeable variation in frailty prevalence across general practices. The majority were white (84%) with 4.7% self-describing as Asian/Asian British, and 1.3% Black/Black British. The prevalence of moderate to severe frailty (eFI>0.24) was 22.1%. Prevalence was higher in women than men (25.3% vs 18.5%) and increased with age. Compared to the prevalence of frailty in Whites (22.5%) prevalence was higher in Asian/Asian British ethnicity people (28.1%) and lower in those of Black/Black British descent (18.7%). Prevalence increased with increasing social disadvantage (p=0.002 for trend across disadvantage quintiles). Among those with a positive COVID-19 test those with frailty were more likely to require hospital admission within 28-days, with increased risk for Asian/Asian British descent (OR=1.47; 95% CI 1.34-1.61) and Black/Black British descent (OR 1.86; 95% CI 1.56-2.20) people vs Whites.

Conclusion:

There is marked variation in occurrence of frailty across Greater Manchester. Frailty is more common in Asian/Asian British people than Whites and less common among Black/Black British with a gradient that relates to social disadvantage.

Mental-physical multimorbidity (MP-MM) is defined by the presence of two or more morbidities, including at least one mental morbidity. Especially among the elderly it is associated with important negative outcomes like the high burden of healthcare utilisation. This study aimed to analyse the prevalence of MP-MM and associated factors among 6.929 participants of the second wave (2019-2020) of the Brazilian Longitudinal Study of Ageing (ELSI-Brazil). MP-MM was defined as the presence of two or more morbidities, including at least one mental morbidity, and was evaluated using a list of 16 physical and mental morbidities. Frequency description of variables and bivariate association were performed using Stata v.15.2 software. The prevalence of MP-MM was 11.4% (CI95%:10.7-12.2), higher in women (69.4%), individuals between 60-69 years (60.0%), high scholarship (33.7%), with a partner (73%), living in an urban area (88.8%), without health insurance (72.9%), and in an area with primary care coverage (67.2%). A higher prevalence of hypertension (69.8%) was higher in MP-MM individuals. The prevalence of MP-MM is higher and reveals gaps in the provision of healthcare, especially related to sex.

Subjective cognitive decline (SCD) is defined by cognitive complaints expressed by the individual, without evidence of cognitive impairment on objective neuropsychological tests. Studies have analyzed SCD among patients with specific groups of diseases. An increased understanding of the association between disease patterns and subjective cognitive decline is essential to develop targeted interventions for these groups. Using data from the baseline of the Brazilian Longitudinal Study of Aging (ELSI-Brazil), this cross-sectional study included 2,508 participants. Subjective Cognitive Decline (SCD) was assessed using the Subjective Cognitive Decline Initiative Working Group's criteria. Multimorbidity (MM) was defined as the presence of two or more of 14 self-reported health conditions. Clusters of MM were identified based on the most prevalent dyads and triads of diseases within the sample. Robust Poisson regression models were used to estimate adjusted prevalence ratios (PR) for the association between MM clusters and SCD, accounting for potential confounders. The following dyads of chronic conditions were associated with higher prevalence of SCD: ophthalmological problems/osteoporosis (RR: 1.497 p=0.042), heart problems/stroke (RR: 2.33, p<.001), and hypertension />asthma (RR: 3.309, p=0.013). No triads had positive association with SCD, although the triads of ophthalmological problem/hypertension/osteoporosis (RR: 0.367, p<.001) and hypertension />cardiac problems/dyslipidemia (RR: 0.545, p=0.012) were negatively associated with the prevalence of SCD. Our study demonstrated an association between SCD and MM clusters, which is important for developing and managing care for individuals with cognitive decline and/or those multimorbidity patterns. The results could also provide a foundation for future research exploring the causality between these variables.

Background: Worldwide population ageing is motivating how to measure the health of ageing populations. One approach is to compare dynamics of frailty, assessed by the cumulative-deficit frailty index, across different populations. We aim to compare the frailty distribution, mortality risk, and change in frailty over time between 18 countries.

Methods: Using data from five harmonised international surveys (HRS, SHARE, ELSA, CHARLS and MHAS) we assessed frailty with a 40-item frailty index (baseline, 2-, 4- and 6-year follow-up), along with mortality status. We constructed separate regression models for participants with the fewest baseline health deficits (“zero-state” – assessing ambient health of the population) and the rest of the population (“non zero-state”). Using logistic and negative binomial, respectively, we assessed the odds of mortality and the rate of deficit accumulation (i.e. change in frailty index) between countries, adjusted for baseline frailty, age, and sex.

Results: Highest baseline frailty, mortality risk, and the most rapid increases in frailty were observed in Mexico, followed by China. Differences in mortality risk and deficit accumulation were similar regardless of baseline frailty. Lowest mortality risk and the slowest rates of deficit accumulation were observed in Scandinavian countries and in Switzerland. Differences between Central/Southern European countries, USA and UK varied when comparing zero-state with non zero-state models. For example, mortality rates and deficit accumulation were relatively lower among the healthiest subset of the USA (and to a lesser extent UK) population. However, when modelling those with some degree of baseline frailty, mortality and deficit accumulation in the USA were relatively higher compared to European countries.

Conclusion: Dynamics of the frailty index can provide insights into population-level differences in health across different settings. For some, but not all, countries, findings are sensitive to the degree of frailty present at baseline, which may reflect inequalities in healthcare provision or access.