Polypharmacy and potentially inappropriate prescribing of benzodiazepines in older nursing home residents.

INTRODUCTION: Previous research has raised concerns about high prevalence of drug-related problems, polypharmacy and inappropriate benzodiazepine prescribing in nursing homes (NHs) and confirmed lack of studies from Central and South-Eastern Europe. The aim of our study was to determine the prevalence and characteristics of polypharmacy, hyperpolypharmacy and inappropriate benzodiazepine prescribing in NH residents in Croatia. METHODS: Data from 226 older NH residents from five Croatian NHs were collected using the InterRAI Long-Term Care Facilities assessment form. The prevalence and determinants of polypharmacy/hyperpolypharmacy and patterns of inappropriate benzodiazepine prescribing were documented. RESULTS: The prevalence of polypharmacy (49.6%) and hyperpolypharmacy (25.7%) among NH residents was high. In our study, 72.1% of NH residents were prescribed at least one psychotropic agent, 36.7% used 2-3 psychotropics and 6.6% used 4+ psychotropics. Among benzodiazepine users (55.8%), 28% of residents were prescribed benzodiazepines in higher than recommended geriatric doses, 75% used them for the long term and 48% were prescribed concomitant interacting medications. The odds of being prescribed polypharmacy/hyperpolypharmacy were significantly higher for older patients with polymorbidity (6+ disorders, proportional odds ratio (POR) = 19.8), type II diabetes (POR = 5.2), ischemic heart disease (POR = 4.6), higher frailty (Clinical Frailty Scale (CFS ≥5); POR = 4.3) and gastrointestinal problems (POR = 4.8). CONCLUSIONS: Our research underscores the persistent challenge of inappropriate medication use and drug-related harms among older NH residents, despite existing evidence and professional campaigns. Effective regulatory and policy interventions, including the implementation of geriatrician and clinical pharmacy services, are essential to address this critical issue and ensure optimal medication management for vulnerable NH populations.

Predicting unplanned hospitalisations in older adults using routinely recorded general practice data.

BACKGROUND: Unplanned hospitalisations represent a hazardous event for older persons. Timely identification of high-risk individuals using a prediction tool may facilitate preventive interventions. AIM: To develop and validate an easy-to-use prediction model for unplanned hospitalisations in community-dwelling older adults using readily available data to allow rapid bedside assessment by general practitioners. DESIGN AND SETTING: Retrospective study using general practice electronic health records of 243,129 community-dwelling adults aged ≥65 years linked with national administrative data. METHODS: The dataset was geographically split into a development (58.7%) and validation (41.3%) sample to predict unplanned hospitalisations within 6 months. We evaluated the performance of three different models with increasingly smaller selections of candidate predictors (i.e. optimal, readily-available and easy-to-use model, respectively). We used logistic regression with backward selection for model development. The models were validated internally and externally. We assessed predictive performance by area under the curve (AUC) and calibration plots. RESULTS: In both samples, 7.6% had at least one unplanned hospitalisation within 6 months. The discriminative ability of the three models was comparable and remained stable after geographic validation. The easy-to-use model included age, sex, prior hospitalisations, pulmonary emphysema, heart failure and polypharmacy. Its discriminative ability after validation was AUC 0.72 [95% confidence interval: 0.72-0.71]. Calibration plots showed good calibration. CONCLUSION: Our models showed satisfactory predictive ability. Reducing the number of predictors and geographic validation did not impact predictive performance, demonstrating the robustness of the model. We developed an easy-to-use tool that may assist general practitioners in decision-making and targeted preventive interventions.

Lessons learned from the development of a national registry on dementia care and support based on linked national health and administrative data.

Introduction: This paper provides insight into the development of the Dutch Dementia Care and Support Registry and the lessons that can be learned from it. The aim of this Registry was to contribute to quality improvement in dementia care and support. Methods: This paper describes how the Registry was set up in four stages, reflecting the four FAIR principles: the selection of data sources (Findability); obtaining access to the selected data sources (Accessibility); data linkage (Interoperability); and the reuse of data (Reusability). Results: The linkage of 16 different data sources, including national routine health and administrative data appeared to be technically and legally feasible. The linked data in the Registry offers rich information about (the use of) care for persons with dementia across various healthcare settings, including but not limited to primary care, secondary care, long-term care and medication use, that cannot be obtained from single data sources. Conclusions: A key lesson learned is that in order to reuse the data for quality improvement in practice, it is essential to involve healthcare professionals in setting up the Registry and to guide them in the interpretation of the data.

Development of a person-centred care approach for persons with chronic multimorbidity in general practice by means of participatory action research.

BACKGROUND: The management of persons with multimorbidity challenges healthcare systems tailored to individual diseases. A person-centred care approach is advocated, in particular for persons with multimorbidity. The aim of this study was to describe the co-creation and piloting of a proactive, person-centred chronic care approach for persons with multimorbidity in general practice, including facilitators and challenges for successful implementation. METHODS: A participatory action research (PAR) approach was applied in 13 general practices employing four subsequent co-creation cycles between 2019 and 2021. The target population included adults with ≥3 chronic conditions. Participating actors were general practitioners (GPs), practice nurses (PNs), patients (target group), the affiliated care cooperation, representatives of a health insurer and researchers. Each cycle consisted of a try-out period in practice and a reflective evaluation through focus groups with healthcare providers, interviews with patients and analyses of routine care data. In each cycle, facilitators, challenges and follow-up actions for the next cycle were identified. Work satisfaction among GPs and PNs was measured pre and at the end of the final co-creation cycle. RESULTS: Identified essential steps in the person-centred chronic care approach include (1) appropriate patient selection for (2) an extended person-centred consultation, and (3) personalised goalsetting and follow-up. Key facilitators included improved therapeutic relationships, enhanced work satisfaction for care providers, and patient appreciation of extended time with their GP. Deliberate task division and collaboration between GPs and PNs based on patient, local setting, and care personnel is required. Challenges and facilitators for implementation encompassed a prioritisation tool to support GPs appropriately who to invite first for extended consultations, appropriate remuneration and time to conduct extended consultations, training in delivering person-centred chronic care available for all general practice care providers and an electronic medical record system accommodating comprehensive information registration. CONCLUSIONS: A person-centred chronic care approach targeting patients with multimorbidity in general practice was developed and piloted in co-creation with stakeholders. More consultation time facilitated better understanding of persons' situations, their functioning, priorities and dilemma's, and positively impacted work satisfaction of care providers. Challenges need to be tackled before widespread implementation. Future evaluation on the quadruple aims is recommended.

Costs of care trajectories of people with dementia compared with matched controls. Longitudinal analysis of linked health and administrative data.

OBJECTIVES: To provide insight into the health and social care costs during the disease trajectory in persons with dementia and the impact of institutionalization and death on healthcare costs compared with matched persons without dementia. METHODS: Electronic health record data from family physicians were linked with national administrative databases to estimate costs of primary care, medication, secondary care, mental care, home care and institutional care for people with dementia and matched persons from the year before the recorded dementia diagnosis until death or a maximum of 4 years after the diagnosis. RESULTS: Total mean health and social care costs among persons with dementia increased substantially during the disease trajectory, mainly due to institutional care costs. For people who remained living in the community, mean health and social care costs are higher for people with dementia than for those without dementia, while for those who are admitted to a long-term care facility, mean health and social care costs are higher for people without dementia than for those with dementia. CONCLUSIONS: The steep rise in health and social care costs across the dementia care trajectory is mainly due to increasing costs for institutional care. For those remaining in the community, home care costs and hospital care costs were the main cost drivers. Future research should adopt a societal perspective to investigate the influence of including social costs.

Prevalence, country-specific prescribing patterns and determinants of benzodiazepine use in community-residing older adults in 7 European countries.

BACKGROUND: The use of benzodiazepines (BZDs) in older population is often accompanied by drug-related complications. Inappropriate BZD use significantly alters older adults' clinical and functional status. This study compares the prevalence, prescribing patterns and factors associated with BZD use in community-dwelling older patients in 7 European countries. METHODS: International, cross-sectional study was conducted in community-dwelling older adults (65 +) in the Czech Republic, Serbia, Estonia, Bulgaria, Croatia, Turkey, and Spain between Feb2019 and Mar2020. Structured and standardized questionnaire based on interRAI assessment scales was applied. Logistic regression was used to evaluate factors associated with BZD use. RESULTS: Out of 2,865 older patients (mean age 73.2 years ± 6.8, 61.2% women) 14.9% were BZD users. The highest prevalence of BZD use was identified in Croatia (35.5%), Spain (33.5%) and Serbia (31.3%). The most frequently prescribed BZDs were diazepam (27.9% of 426 BZD users), alprazolam (23.7%), bromazepam (22.8%) and lorazepam (16.7%). Independent factors associated with BZD use were female gender (OR 1.58, 95%CI 1.19-2.10), hyperpolypharmacy (OR 1.97, 95%CI 1.22-3.16), anxiety (OR 4.26, 95%CI 2.86-6.38), sleeping problems (OR 4.47, 95%CI 3.38-5.92), depression (OR 1.95, 95%CI 1.29-2.95), repetitive anxious complaints (OR 1.77, 95%CI 1.29-2.42), problems with syncope (OR 1.78, 95%CI 1.03-3.06), and loss of appetite (OR 0.60, 95%CI 0.38-0.94). In comparison to Croatia, residing in other countries was associated with lower odds of BZD use (ORs varied from 0.49 (95%CI 0.32-0.75) in Spain to 0.01 (95%CI 0.00-0.03) in Turkey), excluding Serbia (OR 1.11, 95%CI 0.79-1.56). CONCLUSIONS: Despite well-known negative effects, BZDs are still frequently prescribed in older outpatient population in European countries. Principles of safer geriatric prescribing and effective deprescribing strategies should be individually applied in older BZD users.

Social Activity and Cognitive Decline in Older Residents of Long-Term Care Facilities: A Cohort Study.

Background: Cognitive decline is a major reason for dependence and resource use in long-term care. Objective: We explored whether social activities may prevent cognitive decline of older residents of long-term care facilities. Methods: In a routine care cohort, 3,603 residents of long-term care facilities were assessed on average 4.4 times using the interRAI-Long-Term-Care-Facilities instrument which includes frequency of participation in social activities of long standing interest over the last 30 days and the Cognitive Performance Scale. Linear mixed models repeated measures analyses were performed corrected for age, sex, physical activity, Activities of Daily Living, mood, and health indicators. Results: Social activity was associated with cognitive preservation over time. This association was stronger in those with no or mild cognitive impairment at baseline, relative to those with moderate to severe impairment. Participation in specific social activities such as conversing and helping others showed a similar positive association. The relation between social activity and cognitive impairment appeared to be bi-directional. Conclusions: The protective effects of social activity offer a window of opportunity to preserve cognitive functioning in long-term care residents.

Predicting anticipated benefit from an extended consultation to personalise care in multimorbidity: a development and internal validation study of a prioritisation algorithm in general practice.

BACKGROUND: Persons with multimorbidity may gain from person-centred care compared with the current protocolised chronic-disease management in Dutch general practice. Given time constraints and limited resources, it is essential to prioritise those most in need of an assessment of person-centred chronic-care needs. AIM: To develop and validate a prioritisation algorithm based on routine electronic medical record (EMR) data that distinguishes between patients with multimorbidity who would, and those who would not, benefit from an extended person-centred consultation to assess person-centred chronic-care needs, as judged by GPs. DESIGN AND SETTING: A mixed-methods study was conducted in five general practices in the north-west region of the Netherlands. Four out of the five practices were situated in rural areas. METHOD: Multivariable logistic regression using EMR data to predict the GPs' judgement on patients' anticipated benefit from an extended consultation, as well as a thematic analysis of a focus group exploring GPs' clinical reasoning for this judgement were conducted. Internal validation was performed using 10-fold cross-validation. Multimorbidity was defined as the presence of ≥3 chronic conditions. RESULTS: In total, EMRs from 1032 patients were included in the analysis; of these, 352 (34.1%) were judged to have anticipated benefit. The model's cross-validated C-statistic was 0.72 (95% confidence interval = 0.70 to 0.75). Calibration was good. Presence of home visit(s) and history of myocardial infarction were associated with anticipated benefit. Thematic analysis revealed three dimensions feeding anticipated benefit: GPs' cause for concern, patients' mindset regarding their conditions, and balance between received care/expected care needed. CONCLUSION: This algorithm may facilitate automated prioritisation, potentially avoiding the need for GPs to personally triage the whole practice population that has multimorbidity. However, external validation of the algorithm and evaluation of actual benefit of consultation is recommended before implementation.

Self- reported and informal caregiver proxy-reported met needs in persons living with dementia are associated with lower health-related quality of life: a dyadic, cross-sectional study.

OBJECTIVE: This study examined the dyadic association of self and informal caregiver proxy-reported met needs in persons living with dementia on the health-related quality of life (HRQOL). METHODS: A total of 237 persons with dementia and their caregivers were included from a previous observational study. HRQOL was assessed by the EuroQol-5D and the number of met needs by the Camberwell Assessment of Needs for the Elderly. The Actor-Partner Interdependence Model framework was used to analyze the effect of an individual's self or proxy-reported met needs on their own HRQOL (actor effects), and an individual's self or proxy-reported met needs on the other dyad member's HRQOL (partner effects). RESULTS: The number of self-reported met needs by persons living with dementia was negatively associated with their own HRQOL (actor effect b = -0.200, p < 0.001), and the HRQOL of informal caregivers (partner effect b = -0.114, p = 0.001). The number of proxy-reported met needs by informal caregivers was negatively associated with their own HRQOL (actor effect b = -0.105, p < 0.001) but not the person living with dementia's HRQOL (-0.025, p = 0.375). CONCLUSION: Study findings suggest that both self-reported and informal caregiver proxy-reported met needs in persons living with dementia should be considered in research and practice because they have different implications for each dyad members' HRQOL.

The prevalence of non-pharmacological interventions in older homecare recipients: an overview from six European countries.

PURPOSE: Non-pharmacological interventions (NPIs) play an important role in the management of older people receiving homecare. However, little is known about how often specific NPIs are being used and to what extent usage varies between countries. The aim of the current study was to investigate the prevalence of NPIs in older homecare recipients in six European countries. METHODS: This is a cross-sectional study of older homecare recipients (65+) using baseline data from the longitudinal cohort study 'Identifying best practices for care-dependent elderly by Benchmarking Costs and outcomes of community care' (IBenC). The analyzed NPIs are based on the interRAI Home Care instrument, a comprehensive geriatric assessment instrument. The prevalence of 24 NPIs was analyzed in Belgium, Germany, Finland, Iceland, Italy and the Netherlands. NPIs from seven groups were considered: psychosocial interventions, physical activity, regular care interventions, special therapies, preventive measures, special aids and environmental interventions. RESULTS: A total of 2884 homecare recipients were included. The mean age at baseline was 82.9 years and of all participants, 66.9% were female. The intervention with the highest prevalence in the study sample was 'emergency assistance available' (74%). Two other highly prevalent interventions were 'physical activity' (69%) and 'home nurse' (62%). Large differences between countries in the use of NPIs were observed and included, for example, 'going outside' (range 7-82%), 'home health aids' (range 12-93%), and 'physician visit' (range 24-94%). CONCLUSIONS: The use of NPIs varied considerably between homecare users in different European countries. It is important to better understand the barriers and facilitators of use of these potentially beneficial interventions in order to design successful uptake strategies.

Identification of frailty in primary care: accuracy of electronically derived measures.

BACKGROUND: Routinely collected clinical data based on electronic medical records could be used to define frailty. AIM: To estimate the ability of four potential frailty measures that use electronic medical record data to identify older patients who were frail according to their GP. DESIGN AND SETTING: This retrospective cohort study used data from 36 GP practices in the Dutch PHARMO Data Network. METHOD: The measures were the Dutch Polypharmacy Index, Charlson Comorbidity Index (CCI), Chronic Disease Score (CDS), and Frailty Index. GPs' clinical judgement of patients' frailty status was considered the reference standard. Performance of the measures was assessed with the area under the receiver operating characteristic curve (AUC). Analyses were done in the total population and stratified by age and sex. RESULTS: Of 31 511 patients aged ≥65 years, 3735 (11.9%) patients were classified as frail by their GP. The CCI showed the highest AUC (0.79, 95% confidence interval [CI] = 0.78 to 0.80), followed by the CDS (0.69, 95% CI = 0.68 to 0.70). Overall, the measures showed poorer performance in males and females aged ≥85 years than younger age groups (AUC 0.55-0.58 in females and 0.57-0.60 in males). CONCLUSION: This study showed that of four frailty measures based on electronic medical records in primary care only the CCI had an acceptable performance to assess frailty compared with frailty assessments done by professionals. In the youngest age groups diagnostic performance was acceptable for all measures. However, performance declined with older age and was least accurate in the oldest age group, thereby limiting the use in patients of most interest.

Cognitive Change Among Nursing Home Residents: CogRisk-NH Scale Development to Predict Decline.

OBJECTIVES: Examine cognitive changes over time among nursing home residents and develop a risk model for identifying predictors of cognitive decline. DESIGN: Using secondary analysis design with Minimum Data Set data, cognitive status was based on the Cognitive Performance Scale (CPS). SETTING AND PARTICIPANTS: Baseline and 7 quarterly follow-up analyses of US and Canadian interRAI data (N = 1,257,832) were completed. METHODS: Logistic regression analyses identified predictors of decline to form the CogRisk-NH scale. RESULTS: At baseline, about 15% of residents were cognitively intact (CPS = 0), and 11.2% borderline intact (CPS = 1). The remaining more intact, with mild impairment (CPS = 2), included 15.0%. Approximately 59% residents fell into CPS categories 3 to 6 (moderate to severe impairment). Over time, increasing proportions of residents declined: 17.1% at 6 months, 21.6% at 9 months, and 34.0% at 21 months. Baseline CPS score was a strong predictor of decline. Categories 0 to 2 had 3-month decline rates in midteens, and categories 3 to 5 had an average decline rate about 9%. Consequently, a 2-submodel construction was employed-one for CPS categories 0 to 2 and the other for categories 3 to 5. Both models were integrated into a 6-category risk scale (CogRisk-NH). CogRisk-NH scale score distribution had 15.9% in category 1, 26.84% in category 2, and 36.7% in category 3. Three higher-risk categories (ie, 4-6) represented 20.6% of residents. Mean decline rates at the 3-month assessment ranged from 4.4% to 28.3%. Over time, differentiation among risk categories continued: 6.9% to 38.4.% at 6 months, 11.0% to 51.0% at 1 year, and 16.2% to 61.4% at 21 months, providing internal validation of the prediction model. CONCLUSIONS AND IMPLICATIONS: Cognitive decline rates were higher among residents in less-impaired CPS categories. CogRisk-NH scale differentiates those with low likelihood of decline from those with moderate likelihood and, finally, much higher likelihood of decline. Knowledge of resident risk for cognitive decline enables allocation of resources targeting amenable factors and potential interventions to mitigate continuing decline.

Optimising the care for older persons with complex chronic conditions in home care and nursing homes: design and protocol of I-CARE4OLD, an observational study using real-world data.

INTRODUCTION: In ageing societies, the number of older adults with complex chronic conditions (CCCs) is rapidly increasing. Care for older persons with CCCs is challenging, due to interactions between multiple conditions and their treatments. In home care and nursing homes, where most older persons with CCCs receive care, professionals often lack appropriate decision support suitable and sufficient to address the medical and functional complexity of persons with CCCs. This EU-funded project aims to develop decision support systems using high-quality, internationally standardised, routine care data to support better prognostication of health trajectories and treatment impact among older persons with CCCs. METHODS AND ANALYSIS: Real-world data from older persons aged ≥60 years in home care and nursing homes, based on routinely performed comprehensive geriatric assessments using interRAI systems collected in the past 20 years, will be linked with administrative repositories on mortality and care use. These include potentially up to 51 million care recipients from eight countries: Italy, the Netherlands, Finland, Belgium, Canada, USA, Hong Kong and New Zealand. Prognostic algorithms will be developed and validated to better predict various health outcomes. In addition, the modifying impact of pharmacological and non-pharmacological interventions will be examined. A variety of analytical methods will be used, including techniques from the field of artificial intelligence such as machine learning. Based on the results, decision support tools will be developed and pilot tested among health professionals working in home care and nursing homes. ETHICS AND DISSEMINATION: The study was approved by authorised medical ethical committees in each of the participating countries, and will comply with both local and EU legislation. Study findings will be shared with relevant stakeholders, including publications in peer-reviewed journals and presentations at national and international meetings.

Sociodemographic structure and health care-related outcomes of community-dwelling dementia caregiving dyads: a latent class replication study.

BACKGROUND: The identification of dyadic subgroups of individuals living with dementia and their informal caregivers can help to design effective tailored support. In a previous German study, we identified six dementia dyad subgroups by applying Latent Class Analysis (LCA). Results showed sociodemographic heterogeneity as well as differences in health care outcomes (i.e., quality of life, health status, caregiver burden) between subgroups. The objective of this study is to determine if the dyad subgroups from the previous analysis can be replicated in a similar but distinct Dutch sample. METHODS: A LCA 3-step procedure was applied to baseline data from the COMPAS study, a prospective cohort study. LCA is a statistical approach used to identify heterogeneous subgroups within populations based on their pattern of answers on a set of categorical variables. Data comprises 509 community-living individuals with predominantly mild to moderate dementia and their informal caregivers. A narrative analysis was used to compare latent class structures of the original versus the replication study. RESULTS: Six distinct dementia dyad subgroups were identified: A subgroup of "adult-child-parent relation with younger informal caregiver" (31.8%), a "couple with female informal caregiver of older age" group (23.1%), an "adult-child-parent relation with middle-aged informal caregiver" group (14.2%), a "couple with middle-aged female informal caregiver" group (12.4%), a "couple with older male informal caregiver" group (11.2%) and a "couple with middle-aged male informal caregiver" group (7.4%). Quality of life of individuals with dementia was rated better in couples than in adult-child-relationships. Worst health for caregivers was reported by subgroups with female informal caregivers living together with male individuals with dementia in couple relationships. A subgroup with older female informal caregivers in couple relationships report the most severe burden on physical and mental health. In both studies, a model with six subgroups fitted the data best. Although substantive similarities between the subgroups of both studies appeared, considerable differences are also evident. CONCLUSION: This replication study confirmed the existence of informal dementia dyad subgroups. The observed differences between the subgroups provide useful contributions for a more tailored health care services for informal caregivers and individuals living with dementia. Furthermore, it underlines the relevance of dyadic perspectives. To facilitate replication studies and increase the validity of evidence, a standardization of collected data across studies would be beneficial.

Informal caregiver and nurse perceptions of access to culturally appropriate health care for ethnic minority persons with dementia: A qualitative study.

AIMS: This study explored what informal caregivers of ethnic minority (EM) persons with dementia in the Netherlands perceive as culturally accessible health care and nurses' perceptions of how cultural competence can be improved to facilitate access to health care for EM persons with dementia and their informal caregivers. DESIGN: Qualitative description research with semi-structured individual interviews and focus group discussions (FGDs). METHODS: Semi-structured interviews with 15 nurses and 6 informal caregivers provided input for two FGDs with nurses about the need to strengthen their cultural competence to improve access to health care for EM persons with dementia and their informal caregivers. Interview data were collected between September 2020 and April 2021 in the Netherlands. Focus group discussion data were collected between June and September 2021 in the Netherlands. RESULTS: Nurses and informal caregivers experienced difficulty building and maintaining a relationship. Contrary to informal caregivers' experiences, nurses felt a shared cultural background with the persons with dementia and informal caregiver is necessary. Although nurses acknowledged the importance of cultural knowledge, cultural skills, in particular, were mentioned as needing improvement. Examples are mapping involved family members and their roles, asking the right questions and letting go of personal judgements. Nurses frequently mentioned stereotypical thinking and seeing 'the other' as different, and collaboration with(in) family proved difficult for informal caregivers and nurses. CONCLUSION: Strengthening cultural skills will contribute to facilitating better access to cultural appropriate health care for EM persons with dementia and their informal caregivers. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution. IMPACT: This study explores what is perceived as culturally accessible health care and what nurses need to improve their cultural competence. We show that strengthening nurses' cultural competence by addressing which skills should be improved can improve access to health care for EM persons with dementia and their informal caregivers.

Supporting Resilience of Older Adults with Cognitive Decline Requires a Multi-Level System Approach.

The concept of resilience, i.e., the capacity of a system to bounce back after a stressor, is gaining interest across many fields of science, policy, and practice. To date, resilience research in people with cognitive decline has predominantly addressed the early stages of decline. We propose that: (1) resilience is a relevant concept in all stages of cognitive decline; and (2) a socio-ecological, multisystem perspective on resilience is required to advance understanding of, and care and support for people with cognitive decline and their support networks. We substantiate our position with literature and examples. Resilience helps understand differences in response to risk factors of (further) cognitive decline and informs personalised prevention. In a curative context, interventions to strengthen resilience aim to boost recovery from cognitive decline. In care for people with dementia, resilience-focused interventions can strengthen coping mechanisms to maintain functioning and well-being of the individual and their support network. A good example of improving resilience in the social and policy context is the introduction of age-friendly cities and dementia-friendly communities. Good care for people with cognitive decline requires a health and social care system that can adapt to changes in demand. Given the interdependency of resilience at micro-, meso- and macro-levels, an integrative socio-ecological perspective is required. Applying the concept of resilience in the field of cognitive decline opens new horizons for research to improve understanding, predicting, intervening on health and social care needs for the increasing population with cognitive decline.

Diseases, Health-Related Problems, and the Incidence of Malnutrition in Long-Term Care Facilities.

Certain diseases and malnutrition are known to co-occur in residents of long-term care facilities (LTCF). We assessed which diseases and health-related problems are associated with malnutrition at admission or with incident malnutrition during stays and how different definitions of malnutrition affect these associations. Data of Dutch LTCF residents were obtained from the InterRAI-LTCF instrument (2005-2020). We analyzed the association of diseases (diabetes, cancer, pressure ulcers, neurological, musculoskeletal, psychiatric, cardiac, infectious and pulmonary diseases) and health-related problems (aspiration, fever, peripheral edema, aphasia, pain, supervised/assisted eating, balance, psychiatric, GI tract, sleep, dental and locomotion problems) with malnutrition (recent weight loss (WL), low age-specific BMI (BMI), and ESPEN 2015 definition (ESPEN)) at admission (n = 3713), as well as with incident malnutrition during stay (n = 3836, median follow-up ~1 year). Malnutrition prevalence at admission ranged from 8.8% (WL) to 27.4% (BMI); incident malnutrition during stay ranged from 8.9% (ESPEN) to 13.8% (WL). At admission, most diseases (except cardiometabolic diseases) and health-related problems were associated with higher prevalence of malnutrition based on either criterion, but strongest with WL. This was also seen in the prospective analysis, but relationships were less strong compared to the cross-sectional analysis. A considerable number of diseases and health-related problems are associated with an increased prevalence of malnutrition at admission and incident malnutrition during stays in LTCFs. At admission, low BMI is a good indicator of malnutrition; during stays, we advise use of WL.

Psychological Resilience in Older Residents of Long-Term Care Facilities: Occurrence and Associated Factors.

OBJECTIVES: The researchers aimed to (1) explore the occurrence of psychological resilience in the face of a major life stressor and conflict in older residents of long-term care facilities (LTCFs), and (2) identify factors associated with resilience in this population. DESIGN: Longitudinal cohort study using the Dutch InterRAI-LTCF cohort. SETTING AND PARTICIPANTS: Older residents (≥60 years old) of 21 LTCFs in the Netherlands. METHODS: The researchers selected 2 samples of residents who had at least 2 assessments surrounding (1) an incident major life stressor, or (2) incident conflict with other resident or staff. A resilient outcome was operationalized as not having clinically meaningful mood symptoms at the post-stressor assessment and equal or fewer mood symptoms at the post-stressor relative to the pre-stressor assessment. The researchers used 2 resilience outcomes per stressor: 1 based on observer-reported mood symptoms and 1 based on self-reported mood symptoms. The most important factors from among 21 potential resilience factors for each of the 4 operationalizations of resilience were identified using a backward selection procedure with 2-level generalized estimating equations analyses. RESULTS: Forty-eight percent and 50% of residents were resilient in the face of a major life stressor, based on observer-reported (n = 248) and self-reported (n = 211) mood, respectively. In the face of conflict, 26% and 51% of the residents demonstrated resilience, based on the observer-reported (n = 246) and self-reported (n = 183) mood, respectively. Better cognitive functioning, a strong and supportive relationship with family, participation in social activities, and better self-reported health were most strongly associated with resilience in the face of a major life stressor. Better communicative functioning, absence of psychiatric diagnoses, a strong and supportive relationship with family, not being lonely, social engagement, and not reminiscing about life were most strongly associated with resilience in the face of conflict. CONCLUSIONS AND IMPLICATIONS: Factors with a social aspect appear to be particularly important to psychological resilience in older LTCF residents, and provide a potential target for intervention in the LTCF setting.

Prediction models for the prediction of unplanned hospital admissions in community-dwelling older adults: A systematic review.

BACKGROUND: Identification of community-dwelling older adults at risk of unplanned hospitalizations is of importance to facilitate preventive interventions. Our objective was to review and appraise the methodological quality and predictive performance of prediction models for predicting unplanned hospitalizations in community-dwelling older adults. METHODS AND FINDINGS: We searched MEDLINE, EMBASE and CINAHL from August 2013 to January 2021. Additionally, we checked references of the identified articles for the inclusion of relevant publications and added studies from two previous reviews that fulfilled the eligibility criteria. We included prospective and retrospective studies with any follow-up period that recruited adults aged 65 and over and developed a prediction model predicting unplanned hospitalizations. We included models with at least one (internal or external) validation cohort. The models had to be intended to be used in a primary care setting. Two authors independently assessed studies for inclusion and undertook data extraction following recommendations of the CHARMS checklist, while quality assessment was performed using the PROBAST tool. A total of 19 studies met the inclusion criteria. Prediction horizon ranged from 4.5 months to 4 years. Most frequently included variables were specific medical diagnoses (n = 11), previous hospital admission (n = 11), age (n = 11), and sex or gender (n = 8). Predictive performance in terms of area under the curve ranged from 0.61 to 0.78. Models developed to predict potentially preventable hospitalizations tended to have better predictive performance than models predicting hospitalizations in general. Overall, risk of bias was high, predominantly in the analysis domain. CONCLUSIONS: Models developed to predict preventable hospitalizations tended to have better predictive performance than models to predict all-cause hospitalizations. There is however substantial room for improvement on the reporting and analysis of studies. We recommend better adherence to the TRIPOD guidelines.

The Effects of the 2020 COVID-19 Lockdown on Mood, Behavior, and Social and Cognitive Functioning in Older Long-Term Care Residents.

OBJECTIVES: We aimed to explore the effects of the Dutch COVID-19 lockdown (March 20-May 25, 2020) on mood, behavior, and social and cognitive functioning of older residents of long-term care facilities (LTCFs) prospectively. DESIGN: Mixed methods: historically controlled longitudinal cohort study and focus groups. SETTING AND PARTICIPANTS: Residents of Dutch LTCFs. METHODS: Residents who were assessed during and prior to the lockdown were compared to residents of the same wards with 2 assessments prior to the lockdown. We used mixed models and generalized estimating equation analyses to explore differences in changes in mood, withdrawal and aggressive behavior, loneliness and conflict, and cognition and delirium. We also explored whether the effect of the lockdown differed for different subgroups. In 2 online focus groups, LTCF care professionals, ranging from care staff to physicians, reflected on their experiences of the effect of the lockdown and the cohort study results. RESULTS: The lockdown group of 298 residents was compared to the control group of 625 residents. Self-reported mood symptoms showed a slightly greater increase during the lockdown. During the first half of the lockdown, the level of conflict with other residents decreased whereas it increased in the control group. The subgroup with moderate-severe cognitive impairment showed a decrease in withdrawal during the lockdown, whereas the group with no-mild cognitive impairment showed a statistically nonsignificant relative increase. Professionals described great individual variation in the effects of the lockdown on residents. Facilities attempted to preserve the experienced positive effects, for example, by promoting tranquility in shared rooms and continuing to organize individualized ward-based activities. CONCLUSIONS AND IMPLICATIONS: We did not find clinically relevant negative effects of the lockdown on mood, behavior, and social and cognitive functioning in older residents of LTCFs at the group level. Possibly, staff mitigated the negative effects at the group level. Meanwhile, they learned lessons that they continue to apply to enhance resident well-being.