Hospitalisation of people with dementia: evidence from English electronic health records from 2008 to 2016

Ethics, design, and implementation criteria of digital assistive technologies for people with dementia from a multiple stakeholder perspective: a qualitative study

BACKGROUND

Dementia impairs the ability of people with dementia to be autonomous and independent. They need support from third parties, who should ideally respect their autonomy and independence as much as possible. Supporting people with dementia can be very burdensome for caregivers and numbers of patients increase while numbers of potential caregivers decline. Digital assistive technologies (DATs) that directly support patients or their caregivers may help bridging the increasing gap between need of support and available resources. DATs have the potential to preserve the autonomy and independence of people with dementia and promote their abilities, if they are properly designed in close interaction with future users. In our study, we focused on ethical concerns, technological requirements, and implementation criteria for DAT in general and specifically to support outdoor mobility of people with dementia.

METHODS

We applied a qualitative approach and conducted a World Café (2 tables, n = 7) and an online focus group (n = 6) with people with dementia, relatives, healthcare professionals, scientists, ethics experts, and experts for digitally-assisted medical care. We descriptively analyzed the data using a content analysis approach.

RESULTS

The participants reported technological (e.g., lack of Wi-Fi), financial (e.g., expensive devices or lack of budget for DATs), political (e.g., legal hurdles such as the European Medical Device Law or data protection regulations) as well as user-related hurdles (e.g., lack of digital competence) for the implementation of DAT in dementia care. Among the issues discussed were the importance of autonomy, independence, safety, privacy, and questions of decision making capacity in DAT's use. Participants identified opportunities and benefits in self-learning, situation-aware DATs and wished for dementia-friendly communities. They emphasized the value of personal interaction that should not be replaced, but rather supported by DAT.

CONCLUSION

The results revealed multiple hurdles and ethical concerns for DAT use and provided recommendations for designing and implementing DATs. Further investigations are needed on the impact of DAT on personal interactions in caregiving and the role of DAT in dementia-friendly communities.

Nursing interventions to improve care of people living with dementia in hospital: A mixed methods systematic review

BACKGROUND

There are growing numbers of people living with dementia being admitted to acute care hospitals. Hospitalization for people living with dementia can be difficult and is often associated with negative outcomes. Nurses play a significant role in shaping the hospital experience of people living with dementia, and there have been efforts to design, implement and evaluate interventions to improve nursing care of people living with dementia.

OBJECTIVE

To synthesize evidence on the effectiveness of, and experiences with, nursing interventions to improve care of hospitalized people living with dementia.

DESIGN

Mixed methods systematic review following the JBI convergent segregated approach to synthesis and integration of findings.

METHODS

The quantitative component considered studies that evaluated nursing interventions to improve the care of people living with dementia in hospital, comparing the intervention to usual care, other therapeutic modalities, or no comparator. The qualitative component considered studies that explored the experiences of nursing interventions from the perspectives of people living with dementia, caregivers, and nurses. A total of 8 databases were used to search for published and unpublished studies. Titles, abstracts, and full text selections were screened by two or more independent reviewers and assessed for methodological quality.

RESULTS

A total of 38 studies were included in the review, 24 quantitative, 9 qualitative and 5 mixed method designs. Critical appraisal scores were moderate. All studies regardless of methodological quality were included in the review. Interventions were grouped as principally related to (1) dementia education for nurses, (2) technology, (3) nursing skills, and (4) physical environment. Outcomes are presented related to health outcomes of people living with dementia; nurses' knowledge, confidence, and self-efficacy; and health system outcomes. As the interventions were heterogeneous, a meta-analysis of quantitative findings was not possible. The qualitative analysis incorporated 60 findings from 12 studies and led to nine categories and two synthesized findings recognizing external influences on nurses' practice with people living with dementia and the importance of interventions to humanize nurses' work with people living with dementia. Integration of the quantitative and qualitative results demonstrates the need to recognize the role of organization- and unit-level factors in the design and implementation of effective interventions.

CONCLUSIONS

There is limited high-quality evidence to demonstrate the effectiveness of interventions to improve nursing care of people living with dementia in hospital. Using approaches to intervention design and implementation that draw on models of behavior change and learning health systems may support effective change.

SYSTEMATIC REVIEW REGISTRATION NUMBER

PROSPERO 2021CRD42021230951.

Predicting patients with dementia most at risk of needing psychiatric in-patient or enhanced community care using routinely collected clinical data: retrospective multi-site cohort study

BACKGROUND

Dementia is a common and progressive condition whose prevalence is growing worldwide. It is challenging for healthcare systems to provide continuity in clinical services for all patients from diagnosis to death.

AIMS

To test whether individuals who are most likely to need enhanced care later in the disease course can be identified at the point of diagnosis, thus allowing the targeted intervention.

METHOD

We used clinical information collected routinely in de-identified electronic patient records from two UK National Health Service (NHS) trusts to identify at diagnosis which individuals were at increased risk of needing enhanced care (psychiatric in-patient or intensive (crisis) community care).

RESULTS

We examined the records of a total of 25 326 patients with dementia. A minority (16% in the Cambridgeshire trust and 2.4% in the London trust) needed enhanced care. Patients who needed enhanced care differed from those who did not in age, cognitive test scores and Health of the Nation Outcome Scale scores. Logistic regression discriminated risk, with an area under the receiver operating characteristic curve (AUROC) of up to 0.78 after 1 year and 0.74 after 4 years. We were able to confirm the validity of the approach in two trusts that differed widely in the populations they serve.

CONCLUSIONS

It is possible to identify, at the time of diagnosis of dementia, individuals most likely to need enhanced care later in the disease course. This permits the development of targeted clinical interventions for this high-risk group.

Initial evaluation of a technologyenabled change in delivery of the dementia service during COVID-19 in North Warwickshire

BACKGROUND

Remote monitoring technologies show potential to help health professionals deliver preventative interventions which can avoid hospital admissions and allow patients to remain in a home setting.

AIMS

To assess whether an Internet of Things (IoT) driven remote monitoring technology, used in the care pathway of community dementia patients in North Warwickshire improved access to care for patients and cost effectiveness.

METHOD

Patient level changes to anonymised retrospective healthcare utilisation data were analysed alongside costs.

RESULTS

Urgent care decreased following use of an IoT driven remote monitoring technology; one preventative intervention avoided an average of three urgent interventions. A Chi-Square test showing this change as significant. Estimates show annualised service activity avoidance of £201,583 for the cohort; £8764 per patient.

CONCLUSIONS

IoT driven remote monitoring had a positive impact on health utilisation and cost avoidance. Future expansion of the cohort will allow for validation of the results and consider the impact of the technology on patient health outcomes and staff workflows.

In-Hospital Mortality in Patients with and without Dementia across Age Groups, Clinical Departments, and Primary Admission Diagnoses

BACKGROUND

Studies have reported higher in-hospital mortality rates in patients living with dementia (PlwD) with limited evidence across age groups, clinical departments, and admission diagnoses. The aim of this study was to compare the in-hospital mortality rate of PlwD with patients without dementia across groups, clinical departments, and admission diagnoses.

METHODS

This case-control study included patients aged ≥ 60 years hospitalized in 1 of 14 German hospitals between January 2019 and July 2023. PlwD were matched to patients without dementia. The associations between dementia and in-hospital mortality across groups were assessed using univariable logistic regression analyses.

RESULTS

15,956 patients with and 15,956 without dementia were included (mean age: 83.9 years, 60.7% female). PlwD had a significantly higher in-hospital mortality rate (14.0% vs. 11.7%; OR 1.24, 95% CI: 1.16-1.32) than non-dementia controls. The highest excess mortality rate was observed in the youngest age group (60-70 years: 10.9% vs. 5.7%; OR: 2.05, 95% CI: 1.30-3.24), decreased with age, and became non-significant in the oldest age group (≥90 years: 16.2% vs. 17.3%; OR: 0.93, 95% CI: 0.80-1.08). Significant differences were found for digestive system disorders (OR: 1.59; 95% CI: 1.15-1.89), cardiovascular and cerebrovascular disorders (OR: 1.51; 95% CI: 1.30-1.75), endocrine, nutritional, and metabolic diseases (OR: 1.42; 95% CI: 1.06-1.90), and pneumonia (OR: 1.20; 95% CI: 1.04-1.37), as well as for all clinic departments except for geriatric departments.

CONCLUSION

The excess mortality rate was highest in younger age groups, where the general mortality and complication rate is relatively low in the general population. Appropriate approaches are needed, especially in non-geriatric wards.

Hospitalisations before and after entry into a residential aged care facility: An interrupted time series analysis

OBJECTIVE

Hospitalisations are an important indicator of safety and quality of care in residential aged care facilities (RACFs). This study aimed to investigate changes in hospital use 12 months before and 12 months after RACF entry using routinely collected data from 25 Australian RACFs.

METHODS

This was a retrospective longitudinal cohort study using linked aged care provider and hospital record data. The sample comprised 1029 residents living in an aged care facility between July 2014 and December 2019 who had stayed a minimum of 12 months in an RACF. The outcome measures were all-cause hospitalisations and fall-related hospitalisations. We applied an interrupted time series analysis using segmented regression to examine changes in both outcome measures over time. Stratified analyses were conducted by gender and dementia status.

RESULTS

The rate of all-cause hospitalisations increased dramatically over the 12 months before RACF entry, from 97 per 1000 residents per month 12 months prior to RACF admission to 303 per 1000 residents at the second month prior to RACF entry. All-cause hospitalisations then decreased considerably to 55 per 1000 residents upon RACF admission and stabilised across the next 12 months. Such trajectories were also observed in fall-related hospitalisations and were consistent for gender and dementia status.

CONCLUSIONS

In this study, hospitalisation rates decreased significantly after RACF entry, and such reductions were maintained for residents who stayed for 12 months in RACFs. Multiple hospital admissions are likely to precipitate entry into RACF. Additional investigation of how community-based services can be successful in reducing the escalating hospitalisations is needed.

Healthcare use according to deprivation among French Alzheimer's Disease and Related Diseases subjects: a national cross-sectional descriptive study based on the FRA-DEM cohort

Introduction

Pluriprofessional and coordinated healthcare use is recommended for Alzheimer's Disease and Related Diseases (ADRD). Despite a protective health system, France is characterized by persistent and significant social inequalities in health. Although social health inequalities are well documented, less is known about social disparities in healthcare use in ADRD, especially in France. Therefore, this study aimed to describe healthcare use according to socioeconomic deprivation among ADRD subjects and the possible potentiating role of deprivation by age.

Methods

We studied subjects identified with incident ADRD in 2017 in the French health insurance database (SNDS). We described a large extent of their healthcare use during the year following their ADRD identification. Deprivation was assessed through French deprivation index (Fdep), measured at the municipality level, and categorized into quintiles. We compared healthcare use according to the Fdep quintiles through chi-square tests. We stratified the description of certain healthcare uses by age groups (40-64 years, 65-74 years, 75-84 years, 85 years, and older), number of comorbidities (0, 1, 2-3, 4 comorbidities and more), or the presence of psychiatric comorbidity.

Results

In total, 124,441 subjects were included. The most deprived subjects had less use of physiotherapy (28.56% vs. 38.24%), ambulatory specialists (27.24% vs. 34.07%), ambulatory speech therapy (6.35% vs. 16.64%), preventive consultations (62.34% vs. 69.65%), and were less institutionalized (28.09% vs. 31.33%) than the less deprived ones. Conversely, they were more exposed to antipsychotics (11.16% vs. 8.43%), benzodiazepines (24.34% vs. 19.07%), hospital emergency care (63.84% vs. 57.57%), and potentially avoidable hospitalizations (12.04% vs. 10.95%) than the less deprived ones.

Discussion and conclusion

The healthcare use of subjects with ADRD in France differed according to the deprivation index, suggesting potential health renunciation as in other diseases. These social inequalities may be driven by financial barriers and lower education levels, which contribute to health literacy (especially for preventive care). Further studies may explore them.

Use of Electronic Medical Records (EMR) in Gerontology: Benefits, Considerations and a Promising Future

Electronic medical records (EMRs) have many benefits in clinical research in gerontology, enabling data analysis, development of prognostic tools and disease risk prediction. EMRs also offer a range of advantages in clinical practice, such as comprehensive medical records, streamlined communication with healthcare providers, remote data access, and rapid retrieval of test results, ultimately leading to increased efficiency, enhanced patient safety, and improved quality of care in gerontology, which includes benefits like reduced medication use and better patient history taking and physical examination assessments. The use of artificial intelligence (AI) and machine learning (ML) approaches on EMRs can further improve disease diagnosis, symptom classification, and support clinical decision-making. However, there are also challenges related to data quality, data entry errors, as well as the ethics and safety of using AI in healthcare. This article discusses the future of EMRs in gerontology and the application of AI and ML in clinical research. Ethical and legal issues surrounding data sharing and the need for healthcare professionals to critically evaluate and integrate these technologies are also emphasized. The article concludes by discussing the challenges related to the use of EMRs in research as well as in their primary intended use, the daily clinical practice.

Clinical factors associated with the quality of interactions between staff and hospitalized older patients with dementia

This study examines the clinical factors associated with the quality of interactions between staff and hospitalized older patients with dementia. Following examination of bivariate associations, we conducted multiple linear regression in a sample of 140 hospitalized older patients with dementia who participated in the final cohort of an intervention study implementing Family-centered Function-focused Care (Fam-FFC). On average, the participants (male = 46.1%, female = 52.9%) were 81.43 years old (SD = 8.29) and had positive interactions with staff (mean QUIS score = 5.84, SD = 1.36). Accounting for 17.8% of variance in the model, non-pharmacological intervention use (b= 0.170; p<.001) and pain (b= -0.198; p<.01) were significantly associated with the quality of staff-patient interactions. To optimize care of hospitalized patients with dementia, staff should be encouraged to use non-pharmacological interventions. It is also important for staff to assess pain among the patients with dementia and prioritize pain management.

Association between cancer and dementia risk in the UK Biobank: evidence of diagnostic bias

Epidemiological studies have identified an inverse association between cancer and dementia. Underlying methodological biases have been postulated, yet no studies have systematically investigated the potential for each source of bias within a single dataset. We used the UK Biobank to compare estimates for the cancer-dementia association using different analytical specifications designed to sequentially address multiple sources of bias, including competing risk of death, selective survival, confounding bias, and diagnostic bias. We included 140,959 UK Biobank participants aged ≥ 55 without dementia before enrollment and with linked primary care data. We used cancer registry data to identify cancer cases prevalent before UK Biobank enrollment and incident cancer diagnosed after enrollment. We used Cox models to evaluate associations of prevalent and incident cancer with all-cause dementia, Alzheimer's disease (AD), and vascular dementia. We used time-varying models to evaluate diagnostic bias. Over a median follow-up of 12.3 years, 3,310 dementia cases were diagnosed. All-site incident cancer was positively associated with all-cause dementia incidence (hazard ratio [HR] = 1.14, 95% CI: 1.02-1.29), but prevalent cancer was not (HR = 1.04, 95% CI: 0.92-1.17). Results were similar for vascular dementia. AD was not associated with prevalent or incident cancer. Dementia diagnosis was substantially elevated in the first year after cancer diagnosis (HR = 1.83, 95% CI: 1.42-2.36), after which the association attenuated to null, suggesting diagnostic bias. Following a cancer diagnosis, health care utilization or cognitive consequences of diagnosis or treatment may increase chance of receiving a dementia diagnosis, creating potential diagnostic bias in electronic health records-based studies.

20-Year trends of hospitalisation among people with dementia: a region-wide retrospective cohort study from Lombardy, Italy

OBJECTIVES

The aim of this study was to investigate the trends of hospitalisations among people with dementia, linking region-wide hospital and demographic health records.

STUDY DESIGN

A retrospective cohort study was conducted using hospitalisation health records from the Lombardy region in Italy.

METHODS

The study included people aged ≥65 years with a diagnosis of dementia who were hospitalised between 2002 and 2020 in Lombardy, which is the most populated region in Italy with 10 million inhabitants. Using data on resident population, this study computed rates of hospitalisation by calendar year, age, sex and cause of hospitalisation.

RESULTS

In total, 340,144 hospitalised patients with dementia were included in the study. The rate of hospitalisation was 100.6 per 10,000 in 2002 and progressively decreased to 65.1 per 10,000 in 2020. The average age at hospitalisation in 2002 was 78.9 years for men and 81.8 years for women, which increased to 82.0 years and 84.2 years, respectively, in 2020. Respiratory diseases caused 10.4% of all hospitalisations in 2002 and grew steadily to 26.8% in 2020, becoming the leading cause of hospital admissions since 2017.

CONCLUSIONS

Hospitalisation patterns for people with dementia have changed over the last 20 years, reflecting evolving epidemiological trends and the impact of healthcare policies. Region-wide administrative health record data analysis should be further utilised to explore the health needs of people with dementia and inform the planning, implementation and monitoring of effective prevention strategies in this population group.

The Association of Cognitive Impairment With Depressive Symptoms, Function, and Pain in Hospitalized Older Patients With Dementia

This study examined the associations between cognition and depressive symptoms, function, and pain among hospitalized older patients with dementia. We utilized baseline data of 461 hospitalized older patients with dementia who participated in an intervention study implementing Family-centered Function-focused Care (Fam-FFC) and conducted stepwise linear regression. On average, the participants (males = 189; 41% and females = 272; 59%) were 81.64 years old (Standard Deviation, SD = 8.38). There was a statistically significant association of cognition with depressive symptoms (b = -0.184, p < .001), functional status (b = 1.324, p < .001), and pain (b = -0.045, p < .001) when controlling for covariates. This study utilized a large sample of a relatively underrepresented population, hospitalized older adults with dementia, and addressed a topic with great clinical significance. Specific focus on testing and implementing best practices or interventions to support the clinical outcomes, and the cognitive function of hospitalized older adults with dementia is warranted in both practice and research.

Extremes of baseline cognitive function determine the severity of delirium: a population study

Although delirium is a significant clinical and public health problem, little is understood about how specific vulnerabilities underlie the severity of its presentation. Our objective was to quantify the relationship between baseline cognition and subsequent delirium severity. We prospectively investigated a population-representative sample of 1510 individuals aged ≥70 years, of whom 209 (13.6%) were hospitalized across 371 episodes (1999 person-days assessment). Baseline cognitive function was assessed using the modified Telephone Interview for Cognitive Status, supplemented by verbal fluency measures. We estimated the relationship between baseline cognition and delirium severity [Memorial Delirium Assessment Scale (MDAS)] and abnormal arousal (Observational Scale of Level of Arousal), adjusted by age, sex, frailty and illness severity. We conducted further analyses examining presentations to specific hospital settings and common precipitating aetiologies. The median time from baseline cognitive assessment to admission was 289 days (interquartile range 130 to 47 days). In admitted patients, delirium was present on at least 1 day in 45% of admission episodes. The average number of days with delirium (consecutively positive assessments) was 3.9 days. Elective admissions accounted for 88 bed days (4.4%). In emergency (but not elective) admissions, we found a non-linear U-shaped relationship between baseline global cognition and delirium severity using restricted cubic splines. Participants with baseline cognition 2 standard deviations below average (z-score = -2) had a mean MDAS score of 14 points (95% CI 10 to 19). Similarly, those with baseline cognition z-score = + 2 had a mean MDAS score of 7.9 points (95% CI 4.9 to 11). Individuals with average baseline cognition had the lowest MDAS scores. The association between baseline cognition and abnormal arousal followed a comparable pattern. C-reactive protein ≥20 mg/l and serum sodium <125 mM/l were associated with more severe delirium. Baseline cognition is a critical determinant of the severity of delirium and associated changes in arousal. Emergency admissions with lowest and highest baseline cognition who develop delirium should receive enhanced clinical attention.

Predictors of hospital readmission for patients diagnosed with delirium: An electronic health record data analysis

INTRODUCTION

Delirium is an acute and fluctuating change in attention and cognition that increases the risk of functional decline, institutionalisation and death in hospitalised patients. After delirium, patients have a significantly higher risk of readmission to hospital. Our aim was to investigate factors associated with hospital readmission in people with delirium.

METHODS

We carried out an observational retrospective cohort study using linked mental health care and hospitalisation records from South London. Logistic regression models were used to predict the odds of 30-day readmission and Cox proportional hazard models to calculate readmission risks when not restricting follow-up time.

RESULTS

Of 2814 patients (mean age 78.9 years SD ±11.8) discharged from hospital after an episode of delirium, 823 (29.3%) were readmitted within 30 days. Depressed mood (odds ratio (OR) 1.34 (95% confidence interval (CI) 1.08-1.66)), moderate-to-severe physical health problems (OR 1.67 (95% CI 1.18-2.2.36)) and a history of serious circulatory disease (OR 1.29 (95% CI 1.07-1.55)) were associated with higher odds of hospital readmission, whereas a diagnosis of delirium superimposed on dementia (OR 0.67 (95% CI 0.53-0.84)) and problematic alcohol/substance (OR 0.54 (95% CI 0.33-0.89)) use were associated with lower odds. Cox proportionate hazard models showed similar results.

CONCLUSION

Almost one-third of patients with delirium were readmitted within a short period of time, a more detailed understanding of the underlying risk factors could help prevent readmissions. Our findings indicate that the aetiology (as alcohol-related delirium), the recognition that delirium occurred in the context of dementia, as well as potentially modifiable factors, as depressed mood affect readmission risk, and should be assessed in clinical settings.

Championing Dementia Education: Adapting an Effective Scottish Dementia Education Program for Canadian Acute Health Care Providers

With increasing numbers of persons living with dementia and their higher rates of hospitalizations, it is necessary to ensure they receive appropriate and effective acute care; yet, acute care environments are often harmful for persons with dementia. There is a lack of dementia education for acute health care providers in Canada. Scotland presently delivers a dementia education program for health care providers, known as the Scottish National Dementia Champions Programme. The objective of this Policy and Practice Note is to present the collaborative work of Scottish experts and Canadian stakeholders to adapt the Dementia Champions Programme for use in Canada. This work to date includes: (a) an environmental scan of Canadian dementia education for acute health care providers; (b) key informant interviews; and, (c) findings from a two-day planning meeting. The results of this collaborative work can and are being used to inform the next steps to develop and pilot a Canadian dementia education program.

Person-centred communication with people with dementia

Communication is a two-way process of exchanging or sharing information and is an essential element of the nursing process. Challenges with communication are a feature of all types of dementia, so understanding how dementia affects communication and how to support people is important for all nurses. This article provides an overview of communication in dementia care. The authors draw on the literature on communication and dementia to present evidence-based, practical approaches for supporting person-centred communication with people with dementia.

Analyses of hospitalization in Alzheimer's disease and Parkinson's disease in a tertiary hospital

Background

To characterize the pattern of hospitalization in patients with Alzheimer's disease (AD) or Parkinson's disease (PD), and compare the differences to see whether AD patients and PD patients have a different picture of hospitalization.

Methods

The clinical features of all consecutive patients from January 2017 to December 2020 were reviewed. We identified AD patients and PD patients from an electronic database in a tertiary medical center.

Results

The study group comprised 995 AD patients and 2,298 PD patients who were admitted to the hospital for the first time, and re-hospitalized 231 AD patients and 371 PD patients were also included. AD patients were older than PD patients when they were hospitalized (p < 0.001). AD patients had longer lengths of stay, higher re-hospitalization rates, and higher intrahospital mortality rates than PD patients during hospitalization even after adjusting age and gender. PD patients had higher levels of total cost than AD patients due to the cost of the deep brain stimulation (DBS) insertion. Hospitalizations for AD patients occurred most often in the department of geriatrics, while most PD patients were admitted to the department of neurology. Hospitalization due to the presence of comorbid conditions was much higher in AD patients, but a larger proportion of PD patients were hospitalized due to PD disease itself.

Conclusions

The present study found that AD patients and PD patients have a significantly different picture of hospitalization. It is important to implement different management for hospitalized AD and PD, and different emphasis should be given when establishing primary prevention strategies, informing care needs, and guiding healthcare resource planning.

Clinical Quality Indicators for Monitoring Hospitalizations Among Older People with Dementia Accessing Aged Care Services

BACKGROUND

There is a need for clinical quality indicators (CQIs) that can be applied to dementia quality registries to monitor care outcomes for people with Alzheimer's disease and other forms of dementia.

OBJECTIVE

To develop tertiary and primary care-based dementia CQIs for application to clinical registries for individuals with dementia accessing aged care services and determine 1) annual trends in CQI incidence between 2011-2012 and 2015-2016, 2) associated factors, and 3) geographic and facility variation in CQI incidence.

METHODS

This retrospective repeated cross-sectional study included non-Indigenous individuals aged 65-105 years who lived with dementia between July 2008-June 2016, were assessed for government-funded aged care services, and resided in New South Wales or Victoria (n = 180,675). Poisson or negative binomial regression models estimated trends in annual CQI incidence and associated factors. Funnel plots examined CQI variation.

RESULTS

Between 2011-2012 and 2015-2016, CQI incidence increased for falls (11.0% to 13.9%, adjusted incidence rate ratio (aIRR) 1.05 (95% CI 1.01-1.06)) and delirium (4.7% to 6.7%, aIRR 1.09 (95% CI 1.07-1.10)), decreased for unplanned hospitalizations (28.7% to 27.9%, aIRR 0.99 (95% CI 0.98-0.99)) and remained steady for fracture (6.2% to 6.5%, aIRR 1.01 (95% CI 0.99-1.01)) and pressure injuries (0.5% to 0.4%, aIRR 0.99 (95% CI 0.96-1.02)). Being male, older, having more comorbidities and living in a major city were associated with higher CQI incidence. Considerable geographical and facility variation was observed for unplanned hospitalizations and delirium CQIs.

CONCLUSIONS

The CQI results highlighted considerable morbidity. The CQIs tested should be considered for application in clinical quality registries to monitor dementia care quality.

Persistent delirium in older hospital patients: an updated systematic review and meta-analysis

Introduction

Delirium is associated with future dementia progression. Yet whether this occurs subclinically over months and years, or persistent delirium merges into worsened dementia is not understood. Our objective was to estimate the prevalence of persistent delirium and understand variation in its duration.

Methods

We adopted an identical search strategy to a previous systematic review, only including studies using a recognised diagnostic framework for ascertaining delirium at follow-up (persistent delirium). Studies included hospitalised older patients outside critical and palliative care settings. We searched MEDLINE, EMBASE, PsycINFO and the Cochrane Database of Systematic Reviews on 11th January 2022. We applied risk of bias assessments based on Standards of Reporting of Neurological Disorders criteria and assessed strength of recommendations using the grading of recommendation, assessment, development and evaluation (GRADE) approach. Estimates were pooled across studies using random-effects meta-analysis, and we estimated associations with follow-up duration using robust error meta-regression.

Results

We identified 13 new cohorts, which we added to 10 from the previous systematic review (23 relevant studies, with 39 reports of persistent delirium at 7 time-points in 3186 individuals admitted to hospital care (mean age 82 years and 41% dementia prevalence). Studies were mainly at moderate risk of bias. Pooled delirium prevalence estimates at discharge were 36% (95% CI 22% to 51%, 13 studies). Robust error meta-regression did not show variation in prevalence of persistent delirium over time (-1.6% per month, 95% CI -4.8 to 1.6, p=0.08). Margins estimates for this model indicate a prevalence of persistent delirium of 16% (95% CI 6% to 25%) at 12 months.

Conclusions

This systematic review emphasises the importance of delirium as a persistent and extensive problem (GRADE certainty = moderate), raising questions on chronic delirium as a clinical entity and how it might evolve into dementia. Addressing persistent delirium will require a whole-system, integrated approach to detect, follow-up and implement opportunities for recovery across all healthcare settings.

Patterns of unplanned hospital admissions among people with dementia: from diagnosis to the end of life

BACKGROUND

hospitalisations are sentinel events for people with dementia. How patterns of unplanned hospital admissions change among people with dementia after diagnosis is relatively unknown.

OBJECTIVE

to describe patterns of unplanned hospital admissions of people with dementia from diagnosis until death/study end.

METHODS

retrospective cohort study using mental healthcare provider data of people diagnosed with dementia in London, UK (1995-2017), linked to mortality and hospital data. The primary outcome was the rate of unplanned hospital admissions after diagnosis until death/study end. We calculated the cumulative incidence of unplanned hospital admissions. The rates of unplanned hospital admissions and the percentage of time spent as an inpatient were stratified by time from first dementia diagnosis.

RESULTS

for 19,221 people with dementia (61.4% female, mean age at diagnosis 81.0 years (standard deviation, SD 8.5)), the cumulative incidence of unplanned hospital admissions (n = 14,759) was 76.8% (95% CI 76.3%-77.3%). Individuals remained in the study for mean 3.0 (SD 2.6) years, and 12,667 (65.9%) died. Rates and lengths of unplanned hospital admissions remained relatively low and short in the months after the dementia diagnosis, increasing only as people approached the end of life. Percentage of time spent as an inpatient was <3% for people who were alive at the study end but was on average 19.6 and 13.3% for the decedents in the last 6 and 12 months of life, respectively.

CONCLUSIONS

the steep rise in hospitalisations before death highlights the need for improved community care and services for people with dementia who are approaching the end of life.

Testing the sensitivity of two dementia knowledge instruments in dementia workforce education

BACKGROUND

The importance of dementia education in improving the care and support that people living with dementia is well established. Previous research has shown ceiling effects in pre and post educational intervention measures of dementia knowledge using Knowledge in Dementia Scale (KIDE) on post-registered health and social care staff in Scotland. The aim was to test the sensitivity of two dementia knowledge instruments, namely the (KIDE) and the Dementia Knowledge Assessment Scale (DKAS).

DESIGN

A pre and post evaluation comparison of two dementia knowledge scales.

SETTING

The tenth cohort of Scotland's National Dementia Champions Education Programme, September 2019-March 2020.

PARTICIPANTS

Post-registered Health and Social Care staff (n = 117).

METHODS

Both the DKAS and KIDE scales were administered pre and post programme delivery. Wilcoxon signed-rank tests were performed to examine T1 - T2 differences in dementia knowledge for both validated measures.

RESULTS

Ceiling effects continued to be present for the KIDE scale at T1 and T2. The DKAS responses showed a different score distribution than that achieved by the KIDE. Ceiling effects noted for KIDE at T1 were not present for the DKAS. Further, at T2, only 6% of respondents scored the maximum on the DKAS.

CONCLUSIONS

The DKAS appears to be a more useful instrument for measuring knowledge in post-registered health and social care staff; however, there was some evidence of ceiling effects post-intervention. There is a need for both scales to be tested in more educationally diverse populations, so educators and researchers can make informed decisions about the instrument's target range. Additionally, further research is needed to develop new sets of dementia knowledge items suitable for use in trained health and social care staff.

Risk factors and machine learning model for predicting hospitalization outcomes in geriatric patients with dementia

Introduction

Geriatric patients with dementia incur higher healthcare costs and longer hospital stays than other geriatric patients. We aimed to identify risk factors for hospitalization outcomes that could be mitigated early to improve outcomes and impact overall quality of life.

Methods

We identified risk factors, that is, demographics, hospital complications, pre‐admission, and post‐admission risk factors including medical history and comorbidities, affecting hospitalization outcomes determined by hospital stays and discharge dispositions. Over 150 clinical and demographic factors of 15,678 encounters (8407 patients) were retrieved from our institution's data warehouse. We further narrowed them down to twenty factors through feature selection engineering by using analysis of variance (ANOVA) and Glmnet. We developed an explainable machine‐learning model to predict hospitalization outcomes among geriatric patients with dementia.

Results

Our model is based on stacking ensemble learning and achieved accuracy of 95.6% and area under the curve (AUC) of 0.757. It outperformed prevalent methods of risk assessment for encounters of patients with Alzheimer's disease dementia (ADD) (4993), vascular dementia (VD) (4173), Parkinson's disease with dementia (PDD) (3735), and other unspecified dementias (OUD) (2777). Top identified hospitalization outcome risk factors, mostly from medical history, include encephalopathy, number of medical problems at admission, pressure ulcers, urinary tract infections, falls, admission source, age, race, anemia, etc., with several overlaps in multi‐dementia groups.

Discussion

Our model identified several predictive factors that can be modified or intervened so that efforts can be made to prevent recurrence or mitigate their adverse effects. Knowledge of the modifiable risk factors would help guide early interventions for patients at high risk for poor hospitalization outcome as defined by hospital stays longer than seven days, undesirable discharge disposition, or both. The interventions include starting specific protocols on modifiable risk factors like encephalopathy, falls, and infections, where non‐existent or not routine, to improve hospitalization outcomes of geriatric patients with dementia.

Highlights

A total 15,678 encounters of Geriatrics with dementia with a final 20 risk factors.

Developed a predictive model for hospitalization outcomes for multi‐dementia types.

Risk factors for each type were identified including those amenable to interventions.

Top factors are encephalopathy, pressure ulcers, urinary tract infection (UTI), falls, and admission source.

With accuracy of 95.6%, our ensemble predictive model outperforms other models.

The Impact of Demographic, Socio-Economic and Geographic Factors on Mortality Risk among People Living with Dementia in England (2002-2016)

Increasing numbers of people living with dementia (PLWD), and a pressured health and social care system, will exacerbate inequalities in mortality for PLWD. There is a dearth of research examining multiple factors in mortality risk among PLWD, including application of large administrative datasets to investigate these issues. This study explored variation mortality risk variation among people diagnosed with dementia between 2002-2016, based on: age, sex, ethnicity, deprivation, geography and general practice (GP) contacts. Data were derived from electronic health records from a cohort of Clinical Practice Research Datalink GP patients in England (n = 142,340). Cox proportional hazards regression modelled mortality risk separately for people with early- and later- onset dementia. Few social inequalities were observed in early-onset dementia; men had greater risk of mortality. For early- and later-onset, higher rates of GP observations-and for later-onset only dementia medications-are associated with increased mortality risk. Social inequalities were evident in later-onset dementia. Accounting for other explanatory factors, Black and Mixed/Other ethnicity groups had lower mortality risk, more deprived areas had greater mortality risk, and higher mortality was observed in North East, South Central and South West GP regions. This study provides novel evidence of the extent of mortality risk inequalities among PLWD. Variance in mortality risk was observed by social, demographic and geographic factors, and frequency of GP contact. Findings illustrate need for greater person-centred care discussions, prioritising tackling inequalities among PLWD. Future research should explore more outcomes for PLWD, and more explanatory factors of health outcomes.

Caregivers' experiences of medication management advice for people living with dementia at discharge

RATIONALE, AIMS, AND OBJECTIVES

Caregivers of people living with dementia play an essential role in managing medications across transitions of care. Adequate caregiver medication management guidance at hospital discharge is important to ensure optimal outcomes from medication use. This qualitative study explores the experiences and perspectives of caregivers about the medication management guidance provided at hospital discharge.

METHODS

A qualitative approach using semi-structured, telephone interviews was conducted with 31 caregivers of people with dementia across Australia. Purposive sampling was used to ensure maximum variation of diverse experiences and perspectives.

RESULTS

Caregivers' experiences of medication guidance for people with dementia at discharge were described in three themes including: (a) inadequate information about medication management at discharge; (b) limited caregiver engagement in medication management decisions; and (c) difficulties ensuring medication supply post discharge. Most participants indicated they would like to be included in discussions at discharge. However, participation was influenced by caregivers being overwhelmed by discharge processes; proactively seeking information on medication-related harm; and belief in advocacy as part of their caregiver role. Caregivers reported they would like to receive a tailored medication list for people with dementia which included information on medications that may impact on the patient's cognition, and for hospital staff to communicate with both the community pharmacist and primary care physician, to improve co-ordination post transition.

DISCUSSION

In our study of caregivers of people with dementia, we identified key recommendations to facilitate regular participation of people living with dementia and their caregiver around medication guidance at discharge.

Weight loss in Alzheimer's disease, vascular dementia and dementia with Lewy bodies: Impact on mortality and hospitalization by dementia subtype

OBJECTIVES

Loss of weight is associated with cognitive decline as well as several adverse outcomes in dementia. The aim of this study was to assess whether weight loss is associated with mortality and hospitalization in dementia subtypes.

METHODS

A cohort of 11,607 patients with dementia in Alzheimer's disease (AD), vascular dementia (VD), or dementia with Lewy bodies (DLB) was assembled from a large dementia care health records database in Southeast London. A natural language processing algorithm was developed to established whether loss of weight was recorded around the time of dementia diagnosis. Cox proportional hazard models were applied to examine the associations of reported weight loss with mortality and emergency hospitalization.

RESULTS

Weight loss around the time of dementia was recorded in 25.5% of the whole sample and was most common in patients with DLB. A weight loss-related increased risk for mortality was detected after adjustment for confounders (Hazard ratio (HR):1.07; 95% confidence interval (CI):1.02-1.15) and in patients with AD (HR: 1.11; 95% CI: 1.04-1.20), but not in DLB and VD. Weight loss was associated with a significantly increased emergency hospitalization risk (HR: 1.14; 95% CI: 1.08-1.20) and in all three subtypes.

CONCLUSIONS

While there were associations with increased hospitalization risk for all three subtype diagnoses, weight loss was only associated with increased mortality in AD. Weight loss should be considered as an accompanying symptom in dementia and interventions should be considered to ameliorate risk of adverse outcomes.

What gets recorded, counts: dementia recording in primary care compared with a specialist database

BACKGROUND

databases of electronic health records are powerful tools for dementia research, but data can be influenced by incomplete recording. We examined whether people with dementia recorded in a specialist database (from a mental health and dementia care service) differ from those recorded in primary care.

METHODS

a retrospective cohort study of the population covered by Lambeth DataNet (primary care electronic records) between 2007 and 2019. Documentation of dementia diagnosis in primary care coded data and linked records in a specialist database (Clinical Records Interactive Search) were compared.

RESULTS

3,859 people had dementia documented in primary care codes and 4,266 in the specialist database, with 2,886/5,239 (55%) documented in both sources. Overall, 55% were labelled as having Alzheimer's dementia and 29% were prescribed dementia medication, but these proportions were significantly higher in those documented in both sources. The cohort identified from the specialist database were less likely to live in a care home (prevalence ratio 0.73, 95% confidence interval 0.63-0.85), have multimorbidity (0.87, 0.77-0.98) or consult frequently (0.91, 0.88-0.95) than those identified through primary care codes, although mortality did not differ (0.98, 0.91-1.06).

DISCUSSION

there is under-recording of dementia diagnoses in both primary care and specialist databases. This has implications for clinical care and for generalizability of research. Our results suggest that using a mental health database may under-represent those patients who have more frailty, reflecting differential referral to mental health services, and demonstrating how the patient pathways are an important consideration when undertaking database studies.

Ten-year trends in hospitalizations due to Alzheimer's disease in Brazil: a national-based study

Brazil has the second highest age-standardized prevalence of Alzheimer's disease worldwide. However, information about Alzheimer's disease-related hospitalizations in Brazil is scarce despite its economic and social impact. We described temporal trends in hospitalizations related to Alzheimer's disease in Brazil from 2010 to 2019. We conducted a time-series, retrospective, descriptive, national-based study using data from the DATASUS database of the Brazilian Ministry of Health. Hospitalizations, mean days hospitalized, and economic costs from those hospitalizations were extracted from 2010 to 2019. Hospitalizations by Alzheimer's disease increased 87.7% from 2010 to 2019, with greater increase among men (97.4%), mixed ethnicity (224%), 80 years or older (115.1%), and in the Northeast (172.1%) and Central West (144.2%) regions. Although mean days hospitalized decreased in all subgroups, an increasing time trend in hospital admission was observed in the Central West Region. Costs per hospitalization increased for patients aged 50 years or younger and in admissions related to emergency services. Compared with other non-communicable chronic diseases, Alzheimer's disease had the highest increase in absolute number and rate of hospitalizations in Brazil from 2010 to 2019. AD is a public health problem in Brazil. Strategies to reduce its burden are necessary but only if accompanied by greater equality and awareness of this disease.

Factors Associated With Emergency Department Visits by People With Dementia Near the End of Life: A Systematic Review

OBJECTIVES

Emergency department (ED) attendance is common among people with dementia and increases toward the end of life. The aim was to systematically review factors associated with ED attendance among people with dementia approaching the end of life.

DESIGN

Systematic search of 6 databases (MEDLINE, EMBASE, ASSIA, CINAHL, PsycINFO, and Web of Science) and gray literature. Quantitative studies of any design were eligible. Newcastle-Ottawa Scales and Cochrane risk-of-bias tools assessed study quality. Extracted data were reported narratively, using a theoretical model. Factors were synthesized based on strength of evidence using vote counting (PROSPERO registration: CRD42020193271).

SETTING AND PARTICIPANTS

Adults with dementia of any subtype and severity, in the last year of life, or in receipt of services indicative of nearness to end of life.

MEASUREMENTS

The primary outcome was ED attendance, defined as attending a medical facility that provides 24-hour access to emergency care, with full resuscitation resources.

RESULTS

After de-duplication, 18,204 titles and abstracts were screened, 367 were selected for full-text review and 23 studies were included. There was high-strength evidence that ethnic minority groups, increasing number of comorbidities, neuropsychiatric symptoms, previous hospital transfers, and rural living were positively associated with ED attendance, whereas higher socioeconomic position, being unmarried, and living in a care home were negatively associated with ED attendance. There was moderate-strength evidence that being a woman and receiving palliative care were negatively associated with ED attendance. There was only low-strength evidence for factors associated with repeat ED attendance.

CONCLUSIONS AND IMPLICATIONS

The review highlights characteristics that could help identify patients at risk of ED attendance near the end of life and potential service-related factors to reduce risks. Better understanding of the mechanisms by which residential facilities and palliative care are associated with reduced ED attendance is needed.

The association between an early diagnosis of dementia and secondary health service use

Background

dementia policy suggests diagnosing dementia early can reduce the risk of potentially harmful hospital admissions or emergency department (ED) attendances; however, there is little evidence to support this. A diagnosis of mild cognitive impairment (MCI) before dementia is a helpful proxy to explore early diagnosis. This study investigated the association between an early diagnosis of dementia and subsequent hospitalisations and ED attendances.

Method

a retrospective cohort study of electronic health care records from 15,836 patients from a large secondary care database in South London, UK. Participants were divided into two groups: those with a diagnosis of MCI before dementia, an early diagnosis, and those without. Cox regression models were used to compare the risk of hospitalisation and ED attendance after dementia diagnosis and negative binomial regression models were used to compare the average length of stay and average number of ED attendances.

Results

participants with an early diagnosis were more likely to attend ED after their diagnosis of dementia (HR = 1.09, CI = 1.00–1.18); however, there was no difference in the number of ED attendances (IRR = 1.04, CI = 0.95–1.13). There was no difference in the risk of hospitalisation (HR = 0.99, CI = 0.91–1.08) or length of stay between the groups (IRR = 0.97, CI = 0.85–1.12).

Conclusion

the findings of this study do not support the assumption that an early diagnosis reduces the risk of hospitalisation or ED attendance. The patterns of health service use in this paper could reflect help-seeking behaviour before diagnosis or levels of co-morbidity.

Understanding the Impact of Urinary Incontinence in Persons with Dementia: Development of an Interdisciplinary Service Model

Introduction

Prevalence of urinary symptoms such as incontinence (UI) in patients with dementia is estimated to exceed 50%. The resultant psychological and socio-economic burden can be substantial. Our aim was to develop a dedicated urology service within a cognitive impairment clinic in order to treat and better understand the bothersome urinary symptoms suffered by persons with dementia.

Methods

Patients attending this clinic were invited to be assessed and interviewed by urologist, together with their family and/or carer. In addition, formal history, examination and relevant investigations, themes of importance such as quality of life, and select question items were drawn from validated questionnaires. Multidisciplinary team (MDT) meeting was carried out on the same day. Outcomes of the first 75 patients with UI and dementia have been reported.

Results

Average age was 70 years (range 58-98). Majority of persons had a diagnosis of Alzheimer's disease (n = 43, 57%). Average score for how much urine leakage interferes with everyday life was 7.7/10 (range 2-10). 58.7% (n = 44) revealed some degree of sleep disturbance due to UI. 83% (n = 62) stated daily activities were limited due to UI. Two-thirds of persons with dementia (n = 50) stated their bladder problem makes them feel anxious. 88% (n = 67) felt the topic was socially embarrassing. All carers stated that the person's continence issues affect the care they provide. Less than one-third of carers (30.7%, n = 23) were aware of or had been in contact with any bladder and bowel community service. More than half of the carers (n = 46, 65%) were concerned incontinence may be a principal reason for future nursing home admission.

Conclusion

UI can be distressing for persons with dementia. Care partners were concerned about loss of independence and early nursing home admission. Awareness of bladder and bowel services should be increased.

Electronic Medical Record-Based Case Phenotyping for the Charlson Conditions: Scoping Review

Background

Electronic medical records (EMRs) contain large amounts of rich clinical information. Developing EMR-based case definitions, also known as EMR phenotyping, is an active area of research that has implications for epidemiology, clinical care, and health services research.

Objective

This review aims to describe and assess the present landscape of EMR-based case phenotyping for the Charlson conditions.

Methods

A scoping review of EMR-based algorithms for defining the Charlson comorbidity index conditions was completed. This study covered articles published between January 2000 and April 2020, both inclusive. Embase (Excerpta Medica database) and MEDLINE (Medical Literature Analysis and Retrieval System Online) were searched using keywords developed in the following 3 domains: terms related to EMR, terms related to case finding, and disease-specific terms. The manuscript follows the Preferred Reporting Items for Systematic reviews and Meta-analyses extension for Scoping Reviews (PRISMA) guidelines.

Results

A total of 274 articles representing 299 algorithms were assessed and summarized. Most studies were undertaken in the United States (181/299, 60.5%), followed by the United Kingdom (42/299, 14.0%) and Canada (15/299, 5.0%). These algorithms were mostly developed either in primary care (103/299, 34.4%) or inpatient (168/299, 56.2%) settings. Diabetes, congestive heart failure, myocardial infarction, and rheumatology had the highest number of developed algorithms. Data-driven and clinical rule–based approaches have been identified. EMR-based phenotype and algorithm development reflect the data access allowed by respective health systems, and algorithms vary in their performance.

Conclusions

Recognizing similarities and differences in health systems, data collection strategies, extraction, data release protocols, and existing clinical pathways is critical to algorithm development strategies. Several strategies to assist with phenotype-based case definitions have been proposed.

Effects of a Person Centered Dementia Training Program in Greek Hospital Staff-Implementation and Evaluation

People with Dementia (PwD) are frequently admitted in general hospitals. However, health care professionals have lack of dementia knowledge, negative attitudes toward dementia, and lack of confidence in caring those patients. The aim of this study is to develop, implement and evaluate a dementia staff training program in Greek general hospitals. It was a repeated-measures research design. Fourteen (14) two-day workshops were conducted, consisting of six targeted and interactive modules. Staff members (N = 242) attended the program and were assessed according to (1) individual performance: questionnaires about attitudes towards dementia, confidence in care, knowledge about dementia and anxiety before, immediately after the training and three months later, (2) an overall training evaluation immediately after the training and (3) an evaluation of training implementation three months later. Positive attitudes towards dementia, improvement of confidence in care and decrease of feeling of anxiety as a trait, were sustained over time. Knowledge about dementia also increased after the training and sustained, with, however, a slight decrease over time. A well applied training program seems to provide the basis of a better care in PwD during hospitalization. However, changes in the organizational level and a transformation of care culture are necessary for training sustainability over time.

Risk of Hospitalized Falls and Hip Fractures in 22,103 Older Adults Receiving Mental Health Care vs 161,603 Controls: A Large Cohort Study

OBJECTIVES

To investigate the risk of hospitalized fall or hip fracture among older adults using mental health services.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

Residents of a South London catchment aged >60 years receiving specialist mental health care between 2008 and 2016.

MEASURES

Falls and/or a hip fracture leading to hospitalization were ascertained from linked national records. Incidence rates and incidence rate ratios (IRRs) were age- and gender-standardized to the catchment population. Multivariable survival analyses were applied investigating falls and/or hip fractures as outcomes.

RESULTS

In 22,103 older adults, incidence rates were 60.1 per 1000 person-years for hospitalized falls and 13.7 per 1000 person-years for hip fractures, representing standardized IRRs of 2.17 [95% confidence interval (CI) 2.07-2.28] and 4.18 (3.79-4.60), respectively. The IRR for falls was high in those with substance-use disorder [IRR = 6.72 (5.35-8.33)], bipolar disorder [IRR = 3.62 (2.50-5.05)], depression [IRR = 2.28 (2.00-2.59)], and stress-related disorders [IRR = 2.57 (2.10-3.11)]. Hip fractures were increased in all populations (IRR > 2.5), with greatest risk in substance use disorders [IRR = 12.64 (7.22-20.52)], dementia [IRR = 4.38 (3.82-5.00)], and delirium [IRR = 4.03 (3.00-5.29)]. Comparing mental disorder subgroups with each other, after the adjustment for 25 potential confounders, patients with dementia and substance use had a significantly increased risk of falls, and patients with dementia also had an increased risk of hip fractures.

CONCLUSION AND IMPLICATIONS

Older people using mental health services have more than double the incidence of falls and 4 times the incidence of hip fractures compared to the general population. Although incidences differ between diagnostic subgroups, all groups have a higher incidence than the general population. Targeted interventions to prevent falls and hip fractures among older adult mental health service users are urgently needed.

Changing needs in advanced dementia

This is the first article in a six-part series in Nursing Older People exploring the nursing care of people living with advanced dementia. This article discusses the changes that may occur as dementia progresses, from the perspective of the individual, their family and other carers. A person living with advanced dementia is likely to experience physical, cognitive and social changes that can be profound and debilitating. Healthcare needs intensify as new and co-existing issues result in increasing dependency on others for support with activities of daily living. These activities can include eating, drinking, mobility and personal care. Consequently, family carers may find their role has to develop and change to provide increasing support in response to these complex needs. These increasing needs can result in care transitions to hospitals or care homes. Careful and collaborative management of care is crucial to maintain quality of life for the person with dementia and family carers.

Objectives, design and main findings until 2020 from the Rotterdam Study

The Rotterdam Study is an ongoing prospective cohort study that started in 1990 in the city of Rotterdam, The Netherlands. The study aims to unravel etiology, preclinical course, natural history and potential targets for intervention for chronic diseases in mid-life and late-life. The study focuses on cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. Since 2016, the cohort is being expanded by persons aged 40 years and over. The findings of the Rotterdam Study have been presented in over 1700 research articles and reports. This article provides an update on the rationale and design of the study. It also presents a summary of the major findings from the preceding 3 years and outlines developments for the coming period.

The consistent burden in published estimates of delirium occurrence in medical inpatients over four decades: a systematic review and meta-analysis study

INTRODUCTION

Delirium is associated with a wide range of adverse patient safety outcomes, yet it remains consistently under-diagnosed. We undertook a systematic review of studies describing delirium in adult medical patients in secondary care. We investigated if changes in healthcare complexity were associated with trends in reported delirium over the last four decades.

METHODS

We used identical criteria to a previous systematic review, only including studies using internationally accepted diagnostic criteria for delirium (the Diagnostic and Statistical Manual of Mental Disorders and the International Statistical Classification of Diseases). Estimates were pooled across studies using random effects meta-analysis, and we estimated temporal changes using meta-regression. We investigated publication bias with funnel plots.

RESULTS

We identified 15 further studies to add to 18 studies from the original review. Overall delirium occurrence was 23% (95% CI 19-26%) (33 studies) though this varied according to diagnostic criteria used (highest in DSM-IV, lowest in DSM-5). There was no change from 1980 to 2019, nor was case-mix (average age of sample, proportion with dementia) different. Overall, risk of bias was moderate or low, though there was evidence of increasing publication bias over time.

DISCUSSION

The incidence and prevalence of delirium in hospitals appears to be stable, though publication bias may have masked true changes. Nonetheless, delirium remains a challenging and urgent priority for clinical diagnosis and care pathways.

Perceived risk of institutionalization, hospitalization, and death in oldest old primary care patients

OBJECTIVES

This study aims to analyze the accuracy and predictive ability of the Risk Instrument for Screening in the Community (RISC) scored by general practitioners (GPs) in a sample of primary care patients aged 80+ with perceived mental health concerns.

METHOD

GPs ranked the perceived risk of the three adverse outcomes (hospitalization, institutionalization and death) at 1 year in a five Likert scale (RISC score), where 1 is the lowest risk and 5 is the highest. Follow up contacts were conducted after 1 year of assessment in order to collect data on the three outcomes.

RESULTS

The 1-year proportion of institutionalization, hospitalization and death were 12.1 %, 25.2 % and 19.0 % respectively. Based upon the sensitivity and specificity from the Receiver Operating Characteristic (ROC) curves, we found an optimal cut-off point of ≥4 for the RISC. The RISC had fair accuracy for 1-year risk of institutionalization (Area Under the ROC curve (AUC) = 0.75, 95% CI 0.43-0.68) and hospitalization (AUC = 0.65, 95% CI 0.52-0.78), but not for death (AUC = 0.55, 95% CI 0.43-0.68).

CONCLUSIONS

The RISC as a short global subjective assessment is to be considered a reliable tool for use by GPs. Our results showed that RISC seems to be a good instrument to triage very old people at risk for institutionalization but with poor accuracy at predicting hospitalization and limited predictive ability for death, suggesting further research and caution on this instrument's use.

Recognition and assessment of dementia in primary care

The majority of patients are diagnosed within a memory assessment service or a neurology clinic. However, early detection of a possible dementia is often done in a primary care setting. Dementia diagnosis has been seen by some as a 'tick-box exercise' but there are significant benefits to patients and their families when screening or testing for dementia is carried out early, especially in supporting the patients management of other comorbid or long-term conditions. Community nurses have a key role in identifying patients who may have the signs and symptoms of dementia by enabling them to access a timely diagnosis.

Hospitalisation rates and predictors in people with dementia: a systematic review and meta-analysis

BACKGROUND

Hospitalisation is often harmful for people with dementia and results in high societal costs, so avoidance of unnecessary admissions is a global priority. However, no intervention has yet reduced admissions of community-dwelling people with dementia. We therefore aimed to examine hospitalisation rates of people with dementia and whether these differ from people without dementia and to identify socio-demographic and clinical predictors of hospitalisation.

METHODS

We searched MEDLINE, Embase, and PsycINFO from inception to 9 May 2019. We included observational studies which (1) examined community-dwelling people with dementia of any age or dementia subtype, (2) diagnosed dementia using validated diagnostic criteria, and (3) examined all-cause general (i.e. non-psychiatric) hospital admissions. Two authors screened abstracts for inclusion and independently extracted data and assessed included studies for risk of bias. Three authors graded evidence strength using Cochrane's GRADE approach, including assessing for evidence of publication bias using Begg's test. We used random effects meta-analysis to pool estimates for hospitalisation risk in people with and without dementia.

RESULTS

We included 34 studies of 277,432 people with dementia: 17 from the USA, 15 from Europe, and 2 from Asia. The pooled relative risk of hospitalisation for people with dementia compared to those without was 1.42 (95% confidence interval 1.21, 1.66) in studies adjusted for age, sex, and physical comorbidity. Hospitalisation rates in people with dementia were between 0.37 and 1.26/person-year in high-quality studies. There was strong evidence that admission is associated with older age, and moderately strong evidence that multimorbidity, polypharmacy, and lower functional ability are associated with admission. There was strong evidence that dementia severity alone is not associated.

CONCLUSIONS

People with dementia are more frequently admitted to hospital than those without dementia, independent of physical comorbidities. Future interventions to reduce unnecessary hospitalisations should target potentially modifiable factors, such as polypharmacy and functional ability, in high-risk populations.