Care challenges in older general hospital patients : Impact of cognitive impairment and other patient-related factors

The global prevalence of mild cognitive impairment in geriatric population with emphasis on influential factors: a systematic review and meta-analysis

BACKGROUND

Mild cognitive impairment (MCI) is a common disorder among the geriatric population (GP). MCI induces adverse effects on life quality by disrupting of natural aging process, daily activities, and memory. This systematic review and meta-analysis study aimed to investigate the global prevalence of MCI in GP with an emphasis on associated influential factors.

METHODS

Electronic databases of PubMed, Scopus, WoS, Embase, ScienceDirect, and Google Scholar were systematically searched (by November 2024) using the MeSH-based keywords. Collected references were imported into the Citation Management Software of EndNote (v.8) for duplicate detection. Paper screenings and quality assessments were applied based on the inclusion and exclusion criteria. Then, eligible papers were gathered and data analysis was performed using CMA software (v.2).

RESULTS

In the review of 51 eligible studies (n = 287,689 elderly individuals), the global prevalence of mild cognitive impairment in geriatric population was found 23.7% (95%CI:18.6-29.6). According to the meta-regression analysis, following the increase in sample size and year of paper publication, the mild cognitive impairment index decreased and increased, respectively. Besides, age, educational level, and depression status were considered the most critical influential factors of mild cognitive impairment in geriatric population.

CONCLUSION

According to the relatively high prevalence of mild cognitive impairment in geriatric population, determination of proper health strategies seems necessary for diagnosis and treatment of mild cognitive impairment along with awareness and management of associated consequences in geriatric population.

CLINICAL TRIAL NUMBER

Not applicable.

Implementation of intervention programs specifically tailored for patients with cognitive impairment as comorbidity in early rehabilitation during acute hospitalization: An umbrella and scoping review

INTRODUCTION

Cognitive impairment (CI) is common among older hospitalized patients, posing risks for adverse events. However, the extent to which early rehabilitation interventions address CI needs is unclear. This umbrella and scoping review evaluates CI consideration in such interventions during acute hospitalization.

MATERIAL AND METHODS

Systematic reviews on early rehabilitation interventions for older patients were screened. Inclusion criteria encompassed CI mention in titles/objectives, patient assessment/description, inclusion of CI patients, (sub-) analyses by cognitive status, and tailored interventions.

RESULTS

Of 199 studies, only 3% addressed CI in titles/objectives, 68% assessed cognitive status, and 42% lacked CI patient information. Only 4% targeted CI patients, 55% included mixed populations. In 12% of studies, CI patient results were reported, 8% adjusted analyses for CI. Only 5% tailored interventions for CI.

DISCUSSION

Despite high prevalence, CI patients are largely overlooked in early rehabilitation. Future studies should consider CI in assessment, description, analysis, and intervention design.

C-L Case Conference: Assessment of Dispositional Capacity in Medically Complex Patients

We present the case of a 76-year-old male with mild cognitive impairment and delirium who was referred to consultation-liaison psychiatry for an assessment of capacity to choose discharge. Cases involving "dispositional capacity" are complex and increasingly frequent, with momentous consequences for patients and their families, but are rarely discussed in the literature. In this article, experts in functional assessment, cognition, and ethics provide guidance for this commonly encountered clinical scenario based on their experience and available literature. We review the content and formulation of occupational and physical therapy assessments and their utility to the consultation-liaison psychiatrist. We also examine the relationship of cognitive impairment to decisional capacity and offer suggestions on a structured approach to evaluation. Finally, we discuss the ethical and systemic considerations of dispositional capacity and explore potential pitfalls that can lead to interprofessional conflict and missed opportunities in patient care.

The care of patients with psychiatric symptoms in general hospitalisation units: A phenomenological study

INTRODUCTION

The objective of this study was to explore the approach to patients with psychiatric symptoms by nursing professionals in general hospitalisation units in the city of Medellín, Colombia.

METHODS

A qualitative study with the method of interpretive phenomenology. 11 nursing professionals from general hospitalisation units in the city of Medellín, Colombia participated. The information analysis was processed according to the Phenomenological Interpretive Analysis method and with the support of the NVIVO Plus 12 software.

RESULTS

The nurses' experience is described through three themes: representations of the patient with psychiatric symptoms, the patient as aggressive, violent and unpredictable; feeling fearful while providing care, caring for others in the midst of prevention, fear and stress, and being in a chaotic situation, a circumstance that gets out of control and alters the dynamics of the hospitalisation unit.

CONCLUSIONS

Caring for patients with psychiatric symptoms is stressful, especially when nursing professionals perceive a lack of support from other colleagues and from the hospital administration. The above favours the development of alterations in the professional's physical and mental health.

Dementia prevalence among hospitalized older patients: a multicenter study in Iran

Dementia poses a significant societal and health challenge in the 21st century, with many hospitalized patients experiencing dementia without a documented diagnosis.

OBJECTIVE

To evaluate the prevalence of dementia and its associated risk factors among older patients admitted to hospitals.

METHODS

The study included older patients (≥ 60 years) admitted to medical departments of a general hospital in three major Iranian cities. Researchers utilized the Activities of Daily Living-Instrumental Activities of Daily Living (ADL-IADL) scale, the Geriatric Depression Scale (GDS), the Mini-Cog test, the 4 A's test (4AT), and the Abbreviated Mental Test Score (AMTS). Among the 420 recruited older inpatients, 228 (54.3%) were female.

RESULTS

The mean age of participants was 71.39 years (standard deviation ±7.95), with 30.7% diagnosed with major neurocognitive disorder (dementia). The likelihood of dementia exhibited statistically significant correlations with gender, age, number of children, and occupation.

CONCLUSIONS

Screening older individuals for cognitive impairment upon hospital admission holds the potential to prevent adverse outcomes and enhance the quality of treatment for patients concurrently dealing with dementia.

A scoping review of different monitoring-technology devices in caring for older adults with cognitive impairment

Various monitoring technologies are being developed to prevent potential complications among older adults with cognitive impairment and improve their cognitive function. This scoping review identified gaps in the development of monitoring-technology devices for cognitive health status and highlights areas that require further inquiry. This study used the Joanna Briggs Institute (JBI) and the PRISMA extension for the checklist for scoping reviews using the eligibility criteria recommended by Population, Concept, and Context (PCC) framework. The study population included adults aged 65 years and above, while the concept and context are monitoring-technology devices utilized in detecting and caring for an older adult with cognitive impairment. Three electronic databases (Medline, Scopus, and Web of Science) were searched, and a total of 21 articles met the selection criteria. Several innovative technology-based devices for screening, assessing, detecting, and monitoring the interventions for older adult cognitive impairment and for family caregivers to ensure the continuity of care were established. Monitoring devices are useful in promoting older adult safety, improving their quality of life by enabling them to live independently for a longer period, and improving their mental wellbeing to help reduce the burden on caregivers by providing them with information concerning the activities of older adults. Moreover, studies have shown that older adults and their caregivers can learn to use these devices effectively and comfortably with proper education and training. The results of this study provide crucial insights into innovative technologies that can be used to assess cognitive health among older adults, which could substantially improve their mental health, and this baseline information can be used for supporting public health policy and enhancing their quality of life.

A Cross-Sectional, Retrospective, and Comparative Study between Delirium and Non-Delirium Psychiatric Disorders in a Psychogeriatric Inpatient Population Referred to Consultation-Liaison Psychiatry Unit

Background and objectives: Delirium is the most prevalent psychiatric disorder in inpatient older people. Its presence is associated with higher rates of institutionalization, functional disability and mortality. This study aims to evaluate delirium in a hospitalized psychogeriatric population, focusing on which factors predict the appearance of delirium, the impact it generates and the diagnostic concordance between non-psychiatric physicians and psychiatrists. Material and methods: This is an observational, cross-sectional, retrospective, and comparative study. We obtained data from a sample of 1017 patients (≥65 years) admitted to general hospital and referred from different services to the consultation-liaison psychiatry (CLP) unit. Logistic regression was performed using delirium as the dependent variable. To estimate the concordance of the diagnoses, the Kappa coefficient was used. To assess the impact of delirium, an ordinal regression, Wilcoxon median test and Fisher’s test were performed. Results: Delirium is associated with a higher number of visits, OR 3.04 (95% CI 2.38–3.88), longer length of stay and mortality, OR 2.07 (95% CI, 1.05 to 4.10). The model to predict delirium shows that being >75 years old has an OR of 2.1 (95% CI, 1.59–2.79), physical disability has an OR of 1.66 (95% CI, 1.25–2.20), history of delirium has an OR of 10.56 (95% CI, 5.26–21.18) and no use of benzodiazepines has an OR of 4.24 (95% CI, 2.92–6.14). The concordance between the referring physician’s psychiatric diagnosis and the psychiatrist CLP unit showed a kappa of 0.30. When analysing depression and delirium, the concordance showed Kappa = 0.46. Conclusions: Delirium is a highly prevalent psychiatric disorder, but it is still underdiagnosed, with low diagnostic concordance between non-psychiatric doctors and psychiatrists from CLP units. There are multiple risk factors associated with the appearance of delirium, which must be managed to reduce its appearance.

Self-perceived care needs and quality of life in people with cognitive impairment during routine care at home: cross-sectional results of the interventional study

BACKGROUND

Cognitive impairment (CI) is one of the most common disabling symptoms in the elderly, and people with CI face a variety of unmet care needs. There is limited evidence on the relationship between unmet needs and quality of life (QoL) of people with CI. The aim of this study is to analyse the current situation of unmet needs and QoL among people with CI, and to explore the correlation between QoL and unmet needs.

METHODS

The analyses use baseline data of the intervention trial, which recruited 378 participants to complete the questionnaire including the Camberwell Assessment of Need for the Elderly (CANE), and the Medical Outcomes Study 36-item Short-Form (SF-36). The SF-36 was further gathered into physical component summary (PCS) and mental component summary (MCS). Multiple linear regression analysis was conducted to explore the correlations between unmet care needs and PCS and MCS of SF-36.

RESULTS

The mean score of each of the eight domains of SF-36 was significantly lower than the Chinese population norm. The incidence of unmet needs ranged from 0 to 65.1%. Multiple linear regression results showed that living in rural areas (Beta=-0.16, P < 0.001), having unmet physical needs (Beta=-0.35, P < 0.001), and unmet psychological needs (Beta=-0.24, P < 0.001) were associated with lower PCS scores, whereas duration of CI > 2 years (Beta=-0.21, P < 0.001), unmet environmental needs (Beta=-0.20, P < 0.001), and unmet psychological needs (Beta=-0.15, P < 0.001) were associated with lower MCS scores.

CONCLUSION

The main results support the important view that lower QoL scores are associated with unmet needs in people with CI, depending on the domain. Given that the more unmet needs can further worsen QoL, it is recommended that more strategies should be taken, especially for those with unmet care needs, so as to improve their QoL.

Prevention of physical restraints in the acute care setting (PROTECT): study protocol for a cluster-randomised controlled pilot study

INTRODUCTION

Physical restraints (PR) are regularly used in acute care settings, although evidence for their effectiveness and safety (eg, for prevention of falls) is lacking. Their use is associated with adverse events, such as decreased mobility and injuries for patients. We developed a complex intervention to prevent PR in acute care settings according to the UK Medical Research Council Framework, and investigated the feasibility. The intervention comprised the qualification of key nurses as multipliers and a short interprofessional information session. The intervention has proven to be feasible. It also became apparent that further development of the intervention and the study procedures is necessary. Therefore, this study aims to refine and pilot the complex intervention. Furthermore, the objective of this pilot study is to improve study procedures.

METHODS AND ANALYSIS

In a preparatory phase, we will conduct focus groups and individual interviews with the target groups to explore the possibilities for adaption of the intervention and implementation strategies. Subsequently, a cluster-randomised controlled trial with a 6-month follow-up period will be conducted. It is planned to recruit eight general hospitals in Germany (area of Halle (Saale) and Leipzig) with 28 wards and 924 patients per observation period (2772 overall). Primary outcome is the proportion of patients with at least one PR after 6 months. Data will be collected by direct observation over a period of seven consecutive days and three times a day. Secondary outcomes are falls, interruptions in therapy and prescription of psychotropic medication. A comprehensive process evaluation will accompany the study.

ETHICS AND DISSEMINATION

The Ethics committee of the Medical Faculty of the University of Halle (Saale) approved the study protocol. Results will be published in a peer-reviewed journal and presented at conferences. Study information and additional material will be freely available on an already existing website.

TRIAL REGISTRATION NUMBER

DRKS00027989.

Machine-learning prediction for hospital length of stay using a French medico-administrative database

INTRODUCTION

Prolonged Hospital Length of Stay (PLOS) is an indicator of deteriorated efficiency in Quality of Care. One goal of public health management is to reduce PLOS by identifying its most relevant predictors. The objective of this study is to explore Machine Learning (ML) models that best predict PLOS.

METHODS

Our dataset was collected from the French Medico-Administrative database (PMSI) as a retrospective cohort study of all discharges in the year 2015 from a large university hospital in France (APHM). The study outcomes were LOS transformed into a binary variable (long vs. short LOS) according to the 90^th percentile (14 days). Logistic regression (LR), classification and regression trees (CART), random forest (RF), gradient boosting (GB) and neural networks (NN) were applied to the collected data. The predictive performance of the models was evaluated using the area under the ROC curve (AUC).

RESULTS

Our analysis included 73,182 hospitalizations, of which 7,341 (10.0%) led to PLOS. The GB classifier was the most performant model with the highest AUC (0.810), superior to all the other models (all p-values <0.0001). The performance of the RF, GB and NN models (AUC ranged from 0.808 to 0.810) was superior to that of the LR model (AUC = 0.795); all p-values <0.0001. In contrast, LR was superior to CART (AUC = 0.786), p < 0.0001. The variable most predictive of the PLOS was the destination of the patient after hospitalization to other institutions. The typical clinical profile of these patients (17.5% of the sample) was the elderly patient, admitted in emergency, for a trauma, a neurological or a cardiovascular pathology, more often institutionalized, with more comorbidities notably mental health problems, dementia and hemiplegia.

DISCUSSION

The integration of ML, particularly the GB algorithm, may be useful for health-care professionals and bed managers to better identify patients at risk of PLOS. These findings underscore the need to strengthen hospitals through targeted allocation to meet the needs of an aging population.

Interventions for preventing and reducing the use of physical restraints of older people in general hospital settings

BACKGROUND

Physical restraints, such as bedrails, belts in chairs or beds, and fixed tables, are commonly used for older people in general hospital settings. Reasons given for using physical restraints are to prevent falls and fall-related injuries, to control challenging behavior (such as agitation or wandering), and to ensure the delivery of medical treatments. Clear evidence of their effectiveness is lacking, and potential harms are recognised, including injuries associated with the use of physical restraints and a negative impact on people's well-being. There are widespread recommendations that their use should be reduced or eliminated.

OBJECTIVES

To assess the best evidence for the effects and safety of interventions aimed at preventing and reducing the use of physical restraint of older people in general hospital settings. To describe the content, components and processes of these interventions.

SEARCH METHODS

We searched the Cochrane Dementia and Cognitive Improvement Group's register, MEDLINE (Ovid SP), Embase (Ovid SP), PsycINFO (Ovid SP), CINAHL (EBSCOhost), Web of Science Core Collection (Clarivate), LILACS (BIREME), ClinicalTrials.gov and the World Health Organization's meta-register the International Clinical Trials Registry Portal on 20 April 2022.

SELECTION CRITERIA

We included randomised controlled trials and controlled clinical trials that investigated the effects of interventions that aimed to prevent or reduce the use of physical restraints in general hospital settings. Eligible settings were acute care and rehabilitation wards. We excluded emergency departments, intensive care and psychiatric units, as well as the use of restrictive measures for penal reasons (e.g. prisoners in general medical wards). We included studies with a mean age of study participants of at least 65 years. Control groups received usual care or active control interventions that were ineligible for inclusion as experimental interventions.

DATA COLLECTION AND ANALYSIS

Two review authors independently selected the articles for inclusion, extracted data, and assessed the risk of bias of all included studies. Data were unsuitable for meta-analysis, and we reported results narratively. We used GRADE methods to describe our certainty in the results.

MAIN RESULTS

We included four studies: two randomised controlled trials (one individually-randomised, parallel-group trial and one clustered, stepped-wedge trial) and two controlled clinical trials (both with a clustered design). One study was conducted in general medical wards in Canada and three studies were conducted in rehabilitation hospitals in Hong Kong. A total of 1709 participants were included in three studies; in the fourth study the number of participants was not reported. The mean age ranged from 67 years to 84 years. The duration of follow-up covered the period of patients' hospitalisation in one study (21 days average length of stay) and ranged from 4 to 11 months in the other studies. The definition of physical restraints differed slightly, and one study did not include bedrails. Three studies investigated organisational interventions aimed at implementing a least-restraint policy to reduce physical restraints. The theoretical approach of the interventions and the content of the educational components was comparable across studies. The fourth study investigated the use of pressure sensors for participants with an increased falls risk, which gave an alarm if the participant left the bed or chair. Control groups in all studies received usual care. Three studies were at high risk of selection bias and risk of detection bias was unclear in all studies. Because of very low-certainty evidence, we are uncertain about the effect of organisational interventions aimed at implementing a least-restraint policy on our primary efficacy outcome: the use of physical restraints in general hospital settings. One study found an increase in the number of participants with at least one physical restraint in the intervention and control groups, one study found a small reduction in both groups, and in the third study (the stepped-wedge study), the number of participants with at least one physical restraint decreased in all clusters after implementation of the intervention but no detailed information was reported. For the use of bed or chair pressure sensor alarms for people with an increased fall risk, we found moderate-certainty evidence of little to no effect of the intervention on the number of participants with at least one physical restraint compared with usual care. None of the studies systematically assessed adverse events related to use of physical restraint use, e.g. direct injuries, or reported such events. We are uncertain about the effect of organisational interventions aimed at implementing a least-restraint policy on the number of participants with at least one fall (very low-certainty evidence), and there was no evidence that organisational interventions or the use of bed or chair pressure sensor alarms for people with an increased fall risk reduce the number of falls (low-certainty evidence from one study each). None of the studies reported fall-related injuries. We found low-certainty evidence that organisational interventions may result in little to no difference in functioning (including mobility), and moderate-certainty evidence that the use of bed or chair pressure sensor alarms has little to no effect on mobility. We are uncertain about the effect of organisational interventions on the use of psychotropic medication; one study found no difference in the prescription of psychotropic medication. We are uncertain about the effect of organisational interventions on nurses' attitudes and knowledge about the use of physical restraints (very low-certainty evidence).

AUTHORS' CONCLUSIONS

We are uncertain whether organisational interventions aimed at implementing a least-restraint policy can reduce physical restraints in general hospital settings. The use of pressure sensor alarms in beds or chairs for people with an increased fall risk has probably little to no effect on the use of physical restraints. Because of the small number of studies and the study limitations, the results should be interpreted with caution. Further research on effective strategies to implement a least-restraint policy and to overcome barriers to physical restraint reduction in general hospital settings is needed.

Describing people with cognitive impairment and their complex treatment needs during routine care in the hospital - cross-sectional results of the intersec-CM study

BACKGROUND

Cognitive impairment is an important determinant in health care. In the acute hospital setting cognition has a strong impact on treatment and care. Cognitive impairment can negatively affect diagnostics and treatment success. However, little is known about the individual situation and specific risks of people with cognitive impairments during hospital stays. The aim of the present research is to describe and analyze the treatment needs of people with cognitive impairments in acute hospital care.

METHODS

The analyses use baseline data of the ongoing multisite, longitudinal, randomized controlled intervention trial intersec-CM (Supporting elderly people with cognitive impairment during and after hospital stays with Intersectoral Care Management), which recruited 402 participants at baseline. We assessed sociodemographic aspects, cognitive status, functional status, frailty, comorbidities, level of impairment, formal diagnosis of dementia, geriatric diagnoses, delirium, depression, pharmacological treatment, utilization of health care services and health care related needs.

RESULTS

The sample under examination had been on average mildly cognitively impaired (MMSE M = 22.3) and had a mild to moderate functional impairment (Barthel Index M = 50.4; HABAM M = 19.1). The Edmonton Frail Scale showed a mean of 7.4 and half of the patients (52.3%) had been assigned a care level. About 46.9% had a geriatric diagnosis, 3.0% had a diagnosis of dementia. According to DSM-V 19.2% of the patients had at least one main symptom of depression. The mean number of regularly taken drugs per patient was 8.2. Utilization of health care services prior to the hospital stay was rather low. On average, the sample showed 4.38 care related needs in general, of which 0.60 needs were unaddressed at the time of assessment.

CONCLUSIONS

Descriptive analyses highlight an in-depth insight into impairments and different care needs of people with cognitive impairments. The results emphasize the need for gender-specific analyses as well as an increased attention to the heterogeneity of needs of people with cognitive impairments related to specific wards, settings and regions where they are admitted. Our results indicate also that people with cognitive impairments represent a high proportion of older patients in acute hospital care.

TRIAL REGISTRATION

The intersec-CM trial is registered at ClinicalTrials.gov ( NCT03359408 ).

Sensitivity and specificity of the Bamberg Dementia Screening Test's (BDST) full and short versions: brief screening instruments for geriatric patients that are suitable for infectious environments

BACKGROUND

Currently, many patients suffering from dementia do not have a diagnosis when admitted to geriatric hospitals. This is the case despite an increased risk of complications affecting the length of stay and outcome. Unfortunately, many dementia screening tests cannot be used on geriatric inpatients, who are often bedridden. Therefore, we aimed at evaluating the diagnostic accuracy of a small battery of bedside tasks that require minimal vision and fine motor skills in patients with suspected dementia.

METHODS

In this prospective study, the Bamberg Dementia Screening Test (BDST) was administered to a consecutive series of 1295 patients referred for neuropsychological testing. The diagnosis of dementia was confirmed in 1159 and excluded in 136 patients. Sensitivity and specificity for the first subtest (ultra-short form), the first two subtests (short form), and the total score of the BDST were obtained via receiver operating characteristic curves and compared with the sensitivity and specificity values of the Mini-Mental Status Examination (MMSE).

RESULTS

The overall diagnostic quality of the BDST was superior to the MMSE for mild Alzheimer's dementia (sensitivity and specificity = .94 (95% CI .92 to .96) and .82 (95% CI .75 to .88) vs. .79 (95% CI .76 to .83) and .88 (95% CI .82 to .93)) as well as for other subtypes of mild dementia (sensitivity and specificity = .91 (95% CI .88 to .94) and .82 (95% CI .75 to .88) vs. .72 (95% CI .67 to .76) and .88 (95% CI .82 to .93)). Even the short form of the BDST was comparable to the MMSE regarding sensitivity and specificity. For moderate dementia, it was possible to identify dementia cases with sufficient and excellent diagnostic quality by using the ultra-short and the short form.

CONCLUSIONS

The BDST is able to detect dementia in geriatric hospital settings. If the adaptive algorithm is used, administration time can be reduced to less than 2 min in most cases. Because no test materials have to be exchanged, this test is particularly suitable for infectious environments where contact between the examiner and the person being tested should be minimized.

Diagnostic Agreement between Physicians and a Consultation-Liaison Psychiatry Team at a General Hospital: An Exploratory Study across 20 Years of Referrals

Consultation-liaison psychiatry (CLP) manages psychiatric care for patients admitted to a general hospital (GH) for somatic reasons. We evaluated patterns in psychiatric morbidity, reasons for referral and diagnostic concordance between referring doctors and CL psychiatrists. Referrals over the course of 20 years (2000-2019) made by the CLP Service at Modena GH (Italy) were retrospectively analyzed. Cohen's kappa statistics were used to estimate the agreement between the diagnoses made by CL psychiatrist and the diagnoses considered by the referring doctors. The analyses covered 18,888 referrals. The most common referral reason was suspicion of depression (n = 4937; 32.3%), followed by agitation (n = 1534; 10.0%). Psychiatric diagnoses were established for 13,883 (73.8%) referrals. Fair agreement was found for depressive disorders (kappa = 0.281) and for delirium (kappa = 0.342), which increased for anxiety comorbid depression (kappa = 0.305) and hyperkinetic delirium (kappa = 0.504). Moderate agreement was found for alcohol or substance abuse (kappa = 0.574). Referring doctors correctly recognized psychiatric conditions due to their exogenous etiology or clear clinical signs; in addition, the presence of positive symptoms (such as panic or agitation) increased diagnostic concordance. Close daily collaboration between CL psychiatrists and GH doctors lead to improvements in the ability to properly detect comorbid psychiatric conditions.

[Healthcare of the future-Insights and strategy for (dementia) health services research]

BACKGROUND

Due to the demographic change healthcare for older people is becoming more important. A key strategic document for the near future is the national dementia strategy (NDS), which defines four fields of action including promoting excellent research on dementia. The NDS will guide and influence the further development of dementia healthcare research in the coming years.

OBJECTIVE

The current research on specific NDS topics is presented and an outlook on expected developments is given.

MATERIAL AND METHODS

This article provides a narrative review in which concepts and examples for selected sections of the NDS are presented: funding and promotion of healthcare research, development of evidence-based prevention and healthcare concepts and transfer into routine care, support for people with dementia (PwD) and their caregiver, cross-sectoral networking, participation in dementia research and networks in healthcare research. These were analyzed with respect to future developments and concretized based on current healthcare and promotion models.

RESULTS

Insights are given into the healthcare concept of dementia care management, rethinking regional healthcare models such as medicine and e‑health. The innovation fund and research practice networks are described as examples of current structural methods of evidence-based design of future healthcare.

CONCLUSION

The NDS represents an ambitious agenda with very comprehensive goals and topics for the improvement of healthcare for PwD and will probably significantly influence healthcare research and thus healthcare in the future. Overarching, mutually influencing and strengthening components on the way to improvement of the situation for PwD and the healthcare system are translation, participation and networking in research.

Hospital Staff's Attitudes Toward and Knowledge About Dementia Before and After a Two-Day Dementia Training Program

Background:

The outcomes of hospitalized People with Dementia (PwD) are likely to be negative due to, among other key causes, negative staff attitudes and limited staff knowledge regarding dementia. Targeted interventions have been shown to positively change the attitudes of the hospital staff while also increasing their overall knowledge of dementia. However, training effects are often short-lived and frequently long-term effects are not examined in studies.

Objective:

To examine whether attending a dementia training program changes the attitudes of hospital staff toward PwD and/or increases their knowledge levels about dementia, and whether or not these changes are stable.

Methods:

The training program lasted two days and N = 60 attending hospital staff members agreed to participate in the study. Data were assessed with questionnaires prior to the training, 3 months, and 6 months after the training. German versions of the Dementia Attitude Scale (DAS-D) and the Knowledge in Dementia (KIDE) scale were used. Additionally, data about perception of PwD and confidence in dealing with challenging behavior were collected and analyzed.

Results:

After the training program, participants showed a significantly better attitude toward PwD as measured by DAS-D. These time-effects occurred in both DAS-D subscales (“dementia knowledge” and “social comfort”). Although a positive trend could be seen in the KIDE scale, no statistically significant increase occurred over time.

Conclusion:

Specialist training programs seem to be promising in positively changing attitudes toward and increasing knowledge about PwD with long-term effects. Further research should address the effects of attitude change in patient care.

Applying Artificial Intelligence to Predict Self-Reported Poor Health Among Black and Hispanic Caregivers with Mild Cognitive Impairment

We applied artificial intelligence techniques to build correlate models that predict general poor health in a national sample of caregivers with mild cognitive impairment (MCI). Our application of deep learning identified age, duration of caregiving, amount of alcohol intake, weight, myocardial infarction (MI) and frequency of MCI symptoms for Blacks and Hispanics whereas frequency of MCI symptoms, income, weight, coronary heart disease (CHD), age, and use of e-cigarette for the others as the strongest correlates of poor health among 81 variables entered. The application of artificial intelligence efficiently provided intervention strategies for Black and Hispanic caregivers with MCI.