The frequency and types of resident relocations in Dutch nursing homes: a nationwide cohort study of electronic health record data.

PURPOSE: One third of Dutch nursing home residents relocated at least once during length of stay. Roughly 75 percent were individual relocations and the other 25 percent concerned group relocations. The average yearly number of individual relocations was about 3 times as high in the first 4 months after admission compared with later periods. METHODS: We performed an historical cohort study of pseudonymized registration data from a Dutch electronic health record. We selected data from nursing home residents aged 65 years and older who stayed on a ward for physical impairment or dementia and passed away between 2015 and 2019. Our study sample consisted of 26,060 long-stay nursing home residents from 67 nursing homes in the Netherlands. We examined the number of relocations, trends over time, individual versus group relocations and relocation destinations. RESULTS: We found that approximately one-third of long-stay nursing home residents relocated at least once with an average of 36 relocations per 100 residents per year. Roughly, 75 percent of relocations were individual relocations and 25 percent concerned group relocations. In the first 4 months after admission, the average number of individual relocations per 100 resident per year was about 3 times as often compared to later periods after admission. Most individual relocations were within the same type of care. CONCLUSION: A considerable proportion of Dutch long-stay nursing home residents experienced one or more relocations. Relocations for individual reasons occurred mostly in the first months after admission. Further investigation is warranted to explore which factors lead to relocations.

Mortality prediction models for community-dwelling older adults: A systematic review.

INTRODUCTION: As complexity and comorbidities increase with age, the increasing number of community-dwelling older adults poses a challenge to healthcare professionals in making trade-offs between beneficial and harmful treatments, monitoring deteriorating patients and resource allocation. Mortality predictions may help inform these decisions. So far, a systematic overview on the characteristics of currently existing mortality prediction models, is lacking. OBJECTIVE: To provide a systematic overview and assessment of mortality prediction models for the community-dwelling older population. METHODS: A systematic search of terms related to predictive modelling and older adults was performed until March 1st, 2024, in four databases. We included studies developing multivariable all-cause mortality prediction models for community-dwelling older adults (aged ≥65 years). Data extraction followed the CHARMS Checklist and Quality assessment was performed with the PROBAST tool. RESULTS: A total of 22 studies involving 38 unique mortality prediction models were included, of which 14 models were based on a cumulative deficit-based frailty index and 9 on machine learning. C-statistics of the models ranged from 0.60 to 0.93 for all studies versus 0.61-0.78 when a frailty index was used. Eight models reached c-statistics higher than 0.8 and reported calibration. The most used variables in all models were demographics, symptoms, diagnoses and physical functioning. Five studies accounting for eleven models had a high risk of bias. CONCLUSION: Some mortality prediction models showed promising results for use in practice and most studies were of sufficient quality. However, more uniform methodology and validation studies are needed for clinical implementation.

Defining and Categorizing Nonpharmacologic Interventions in the Older Population: A Systematic Review.

OBJECTIVES: Nonpharmacologic interventions (NPIs) constitute an important part of treatment for older adults, cover a broad and diverse range of interventions, and have advantages over pharmacologic interventions (eg, limited adverse side effects). However, an unambiguous definition of NPIs is still lacking. Defining NPIs may facilitate research on this topic and enhance comparability of results between studies, and might help to face the challenges of recognition, acceptation, funding, and implementation. Therefore, the aim of this review was to provide an overview and comparison of the definitions of NPIs used in the current literature on older adults. DESIGN: A systematic review was performed to provide an overview of the definitions of NPIs that are used in the current literature on older populations and to organize the characteristics involved in the definitions. SETTING AND PARTICIPANTS: People ≥60 years of age were included, not limited to a specific setting. METHODS: A systematic search was performed in the following 5 databases: PubMed, Embase, Clarivate Analytics/Web of Science Core Collection, Cumulative Index to Nursing and Allied Health Literature, and Wiley/Cochrane Library. The time frame within the databases was from inception to December 4, 2023. Review articles, editorials and consensus papers were included. RESULTS: We included 28 articles. We organized the definitions of NPI according to 4 different aspects: types of interventions involved, target population, goals the interventions addressed, and requirements of the interventions. Definitions in the current literature can generally be divided into 2 groups: NPIs described as not involving medication, and more elaborated multidomain definitions. Based on the results, we formulated criteria for types of interventions that can be considered an NPI. CONCLUSIONS AND IMPLICATIONS: Using current descriptions and characteristics, elements for a new definition for NPIs were proposed. To improve research in this field, consensus needs to be reached regarding elements covered by a definition of NPIs.

Potentially Inappropriate Medication in Older Persons With Dementia: Does a Migration Background Matter?

OBJECTIVES: Previous research in the general population shows more potentially inappropriate medications (PIMs) among persons with a migration background compared with persons without a migration background. This study investigated the association between non-Western (nw) migration background (MB) and dementia-specific PIMs in older adults with dementia in the Netherlands. DESIGN: Cohort study using routinely recorded electronic health records and administrative data. SETTING AND PARTICIPANTS: Electronic health record data of general practitioners from the NIVEL-Primary Care Database, were linked to registries managed by Statistics Netherlands (2013-2014). A total of 9055 community-dwelling older adults with dementia were included, among whom 294 persons had an nw-MB from Africa, South America, or Asia, based on their country of birth. METHODS: We determined the presence of dementia-specific PIM prescriptions and compared this between persons with an nw-MB and without an MB, using logistic regression analysis adjusted for follow-up time, age, registered sex, and total number of prescriptions. Interaction effects of potentially relevant covariates were tested. The 3 largest nw-MB groups in the Netherlands were analyzed separately. RESULTS: Dementia-specific PIMs were less frequently prescribed to persons with an nw-MB compared to persons without an MB with a dementia diagnosis [30.6% vs 34.4%, odds ratio (OR) 0.71, 95% CI 0.54-0.92], with especially less often a benzodiazepine prescription in the group with an nw-MB, compared to persons without an MB (15.0% vs 19.3%, OR 0.61, 95% CI 0.43-0.84). Dementia duration, living alone, household income, and degree of urbanization did not influence the associations. CONCLUSIONS AND IMPLICATIONS: Among older adults with dementia in the Netherlands, persons with an nw-MB had less often a dementia-specific PIM prescription compared to persons without an MB. Whether this difference is a reflection of better quality of care, higher professional uncertainty, or less recognition of (mental) health problems in persons with an nw-MB and dementia, needs further investigation.

Compiling a Set of Actionable Quality Indicators for Medical Practitioners in Dutch Nursing Homes: A Delphi Study.

Most quality indicators (QIs) currently used in nursing homes reflect the care delivered by the entire multidisciplinary team and are not specific for medical practitioners. International experts have proposed a set of QIs that specifically reflect the quality of medical care in nursing homes. The objective of the Delphi study described here was to compile a set of actionable QIs tailored for medical practitioners working within Dutch nursing homes. This was achieved through the evaluation of 15 existing national QIs and 35 international QIs by a panel of medical practitioners, comprising medical specialists, nurse practitioners, and physician assistants, who are working in Dutch nursing homes. Panelists rated each QI on (1) level of direct control by medical practitioners and (2) its relevance to the quality of medical care. QIs progressing to subsequent rounds required panel agreement on both direct control (≥70% ≥3 points on a 4-point scale) and relevance (≥70% ≥8 on a 10-point scale). In the last round, each panelist selected the 5 most relevant QIs and arranged them in order of importance. These top 5 rankings were converted into points for an overall final ranking. There was consensus on 42 QIs being under the control of medical practitioners, and 21 of these QIs were considered relevant for quality of care. Most of the 21 QIs originated from the international QI set. This finding supports the transferability of the internationally developed QIs to the Dutch nursing home context and provides opportunities to compare the quality of medical care in nursing homes across countries. In the final ranking, the QI related to new medication prescriptions received the highest rating, followed by 3 QIs related to advance care planning. Future research should focus on evaluating the feasibility of measuring the selected QIs and assessing their measurement properties before implementing them in professional learning and quality improvement initiatives for medical practitioners in nursing homes.

Urinary Tract Infection Guideline Adherence in a Dutch Sentinel Nursing Home Surveillance Network.

OBJECTIVES: To investigate guideline adherence 3 years after the introduction of a national guideline on urinary tract infections (UTIs) in frail older adults. Appropriate use of urine dipstick tests, treatment decisions, and antibiotic drug choices in residents with (suspected) UTIs without a catheter were examined. DESIGN: Observational prospective study. SETTING AND PARTICIPANTS: Nineteen nursing homes participating in a Dutch Sentinel Nursing Home Surveillance Network. METHODS: As of September 2021, for a 3-month period, medical practitioners recorded additional clinical information in the electronic health record in case of a (suspected) UTI. Based on this information, adherence to guideline recommendations was assessed. Nonadherence was classified into 2 categories: (1) "intentional nonadherence" as reported by practitioners and (2) "nonadherence otherwise" applied to all other cases where the recorded information was discordant with the guideline recommendations. RESULTS: A total of 532 cases of (suspected) UTIs from 469 residents were analyzed. In 455 cases (86%), dipsticks were used. For the 231 cases where clinical signs and symptoms already indicated no UTI treatment according to the guideline, a dipstick was still inappropriately ordered in 196 cases (85%). The decision to prescribe or withhold antibiotics was in 69% of the cases adherent, in 6% intentionally nonadherent, and in 25% nonadherent otherwise. The type of prescribed antibiotic was adherent to the recommended antibiotics for cystitis in 88% and for UTIs with signs of tissue invasion in 48%. Overall, for 40% of suspected UTIs, adherence to all relevant recommendations could be established, and in 9% practitioners reported intentional nonadherence to the guideline. CONCLUSIONS AND IMPLICATIONS: There is considerable room for improvement in all clinical stages of managing a suspected UTI in Dutch nursing homes, particularly with regard to the importance of patient's clinical signs and symptoms for appropriate dipstick use and antibiotic UTI treatments.

The effect of current antithrombotic therapy on mortality in nursing home residents with COVID-19: a multicentre retrospective cohort study.

BACKGROUND: The first wave of COVID led to an alarmingly high mortality rate among nursing home residents (NHRs). In hospitalised patients, the use of anticoagulants may be associated with a favourable prognosis. However, it is unknown whether the use of antithrombotic medication also protected NHRs from COVID-19-related mortality. OBJECTIVES: To investigate the effect of current antithrombotic therapy in NHRs with COVID-19 on 30-day all-cause mortality during the first COVID-19 wave. METHODS: We performed a retrospective cohort study linking electronic health records and pharmacy data in NHRs with COVID-19. A propensity score was used to match NHRs with current use of therapeutic dose anticoagulants to NHRs not using anticoagulant medication. The primary outcome was 30-day all-cause mortality, which was evaluated using a logistic regression model. In a secondary analysis, multivariable logistic regression was performed in the complete study group to compare NHRs with current use of therapeutic dose anticoagulants and those with current use of antiplatelet therapy to those without such medication. RESULTS: We included 3521 NHRs with COVID-19 based on a positive RT-PCR for SARS-CoV-2 or with a well-defined clinical suspicion of COVID-19. In the matched propensity score analysis, NHRs with current use of therapeutic dose anticoagulants had a significantly lower all-cause mortality (OR = 0.73; 95% CI: 0.58-0.92) compared to NHRs who did not use therapeutic anticoagulants. In the secondary analysis, current use of therapeutic dose anticoagulants (OR: 0.62; 95% CI: 0.48-0.82) and current use of antiplatelet therapy (OR 0.80; 95% CI: 0.64-0.99) were both associated with decreased mortality. CONCLUSIONS: During the first COVID-19 wave, therapeutic anticoagulation and antiplatelet use were associated with a reduced risk of all-cause mortality in NHRs. Whether these potentially protective effects are maintained in vaccinated patients or patients with other COVID-19 variants, remains unknown.

Predicting unplanned admissions to hospital in older adults using routinely recorded general practice data: development and validation of a prediction model.

BACKGROUND: Unplanned admissions to hospital represent a hazardous event for older people. 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 admissions to hospital in community-dwelling older adults using readily available data to allow rapid bedside assessment by GPs. DESIGN AND SETTING: This was a retrospective study using the general practice electronic health records of 243 324 community-dwelling adults aged ≥65 years linked with national administrative data to predict unplanned admissions to hospital within 6 months. METHOD: The dataset was geographically split into a development (n = 142 791/243 324, 58.7%) and validation (n = 100 533/243 324, 41.3%) sample to predict unplanned admissions to hospital within 6 months. The performance of three different models was evaluated with increasingly smaller selections of candidate predictors (optimal, readily available, and easy-to-use models). Logistic regression was used with backward selection for model development. The models were validated internally and externally. Predictive performance was assessed by area under the curve (AUC) and calibration plots. RESULTS: In both samples, 7.6% (development cohort: n = 10 839/142 791, validation cohort: n = 7675/100 533) had ≥1 unplanned hospital admission 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 admissions to hospital, pulmonary emphysema, heart failure, and polypharmacy. Its discriminative ability after validation was AUC 0.72 (95% confidence interval = 0.71 to 0.72). Calibration plots showed good calibration. CONCLUSION: The models showed satisfactory predictive ability. Reducing the number of predictors and geographic validation did not have an impact on predictive performance, demonstrating the robustness of the model. An easy-to-use tool has been developed in this study that may assist GPs in decision making and with 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.

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.

External validation of six COVID-19 prognostic models for predicting mortality risk in older populations in a hospital, primary care, and nursing home setting.

OBJECTIVES: To systematically evaluate the performance of COVID-19 prognostic models and scores for mortality risk in older populations across three health-care settings: hospitals, primary care, and nursing homes. STUDY DESIGN AND SETTING: This retrospective external validation study included 14,092 older individuals of ≥70 years of age with a clinical or polymerase chain reaction-confirmed COVID-19 diagnosis from March 2020 to December 2020. The six validation cohorts include three hospital-based (CliniCo, COVID-OLD, COVID-PREDICT), two primary care-based (Julius General Practitioners Network/Academisch network huisartsgeneeskunde/Network of Academic general Practitioners, PHARMO), and one nursing home cohort (YSIS) in the Netherlands. Based on a living systematic review of COVID-19 prediction models using Prediction model Risk Of Bias ASsessment Tool for quality and risk of bias assessment and considering predictor availability in validation cohorts, we selected six prognostic models predicting mortality risk in adults with COVID-19 infection (GAL-COVID-19 mortality, 4C Mortality Score, National Early Warning Score 2-extended model, Xie model, Wang clinical model, and CURB65 score). All six prognostic models were validated in the hospital cohorts and the GAL-COVID-19 mortality model was validated in all three healthcare settings. The primary outcome was in-hospital mortality for hospitals and 28-day mortality for primary care and nursing home settings. Model performance was evaluated in each validation cohort separately in terms of discrimination, calibration, and decision curves. An intercept update was performed in models indicating miscalibration followed by predictive performance re-evaluation. MAIN OUTCOME MEASURE: In-hospital mortality for hospitals and 28-day mortality for primary care and nursing home setting. RESULTS: All six prognostic models performed poorly and showed miscalibration in the older population cohorts. In the hospital settings, model performance ranged from calibration-in-the-large -1.45 to 7.46, calibration slopes 0.24-0.81, and C-statistic 0.55-0.71 with 4C Mortality Score performing as the most discriminative and well-calibrated model. Performance across health-care settings was similar for the GAL-COVID-19 model, with a calibration-in-the-large in the range of -2.35 to -0.15 indicating overestimation, calibration slopes of 0.24-0.81 indicating signs of overfitting, and C-statistic of 0.55-0.71. CONCLUSION: Our results show that most prognostic models for predicting mortality risk performed poorly in the older population with COVID-19, in each health-care setting: hospital, primary care, and nursing home settings. Insights into factors influencing predictive model performance in the older population are needed for pandemic preparedness and reliable prognostication of health-related outcomes in this demographic.

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.

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.

Prevalences and Indications of Psychotropic Drug Prescriptions in Nursing Home Residents with Korsakoff Syndrome.

Psychotropic drugs (PD) are often prescribed to nursing home residents with Korsakoff syndrome (KS). It is unknown whether these drugs are prescribed correctly or whether they are prescribed off-label, for example, to treat behavioral symptoms. To get more insight into PD prescriptions, a descriptive study was performed. The type, category and indications of PD prescriptions of 285 participants were analyzed using medication charts and questionnaires. Behavioral symptoms were investigated with the Neuropsychiatric Inventory-Questionnaire. The results showed that atypical antipsychotics (57.1%) were prescribed more frequently than typical antipsychotics (49.3%). Of the antidepressants, selective serotonin/norepinephrine reuptake inhibitors (63.1%) were most frequently prescribed, followed by tricyclic antidepressants (23.4%). Of the benzodiazepines, anxiolytics (85.7%) were more prescribed than hypnotics (24.5%). Besides psychiatric disorders, PD were also prescribed to treat behavioral symptoms varying from 29.9% (antipsycho-tics) to 26.3% (benzodiazepines) and 9.3% (antidepressants). Furthermore, prescriptions were high if behavioral symptoms were present. To conclude, PD are often prescribed to residents with KS for an unapproved indication, namely behavioral symptoms. Additional research is needed to obtain further insight into the current prescribing culture and the effectiveness of PD. The insights thus obtained may, ultimately, contribute to the appropriate prescription of PD for people with KS.

A study protocol of external validation of eight COVID-19 prognostic models for predicting mortality risk in older populations in a hospital, primary care, and nursing home setting.

BACKGROUND: The COVID-19 pandemic has a large impact worldwide and is known to particularly affect the older population. This paper outlines the protocol for external validation of prognostic models predicting mortality risk after presentation with COVID-19 in the older population. These prognostic models were originally developed in an adult population and will be validated in an older population (≥ 70 years of age) in three healthcare settings: the hospital setting, the primary care setting, and the nursing home setting. METHODS: Based on a living systematic review of COVID-19 prediction models, we identified eight prognostic models predicting the risk of mortality in adults with a COVID-19 infection (five COVID-19 specific models: GAL-COVID-19 mortality, 4C Mortality Score, NEWS2 + model, Xie model, and Wang clinical model and three pre-existing prognostic scores: APACHE-II, CURB65, SOFA). These eight models will be validated in six different cohorts of the Dutch older population (three hospital cohorts, two primary care cohorts, and a nursing home cohort). All prognostic models will be validated in a hospital setting while the GAL-COVID-19 mortality model will be validated in hospital, primary care, and nursing home settings. The study will include individuals ≥ 70 years of age with a highly suspected or PCR-confirmed COVID-19 infection from March 2020 to December 2020 (and up to December 2021 in a sensitivity analysis). The predictive performance will be evaluated in terms of discrimination, calibration, and decision curves for each of the prognostic models in each cohort individually. For prognostic models with indications of miscalibration, an intercept update will be performed after which predictive performance will be re-evaluated. DISCUSSION: Insight into the performance of existing prognostic models in one of the most vulnerable populations clarifies the extent to which tailoring of COVID-19 prognostic models is needed when models are applied to the older population. Such insight will be important for possible future waves of the COVID-19 pandemic or future pandemics.

Factors Associated with ADL Dependence in Nursing Home Residents with Korsakoff's Syndrome and Other Alcohol-Related Disorders: An Explorative Cross-Sectional Study.

Difficulties in performing activities of daily living (ADL) are common in patients with Korsakoff's syndrome (KS). The aim of this study was to identify factors associated with ADL dependence in nursing home residents with KS. This exploratory, cross-sectional study included 281 residents with KS from 9 specialized nursing homes in the Netherlands. We examined demographic, cognitive, somatic, and (neuro)psychiatric characteristics. ADL dependence was assessed with the Inter-RAI ADL Hierarchy Scale. Multivariable logistic regression analyses were used to identify factors associated with ADL dependence. Cognitive impairment (odds ratio [OR] = 7.46; 95% confidence interval [CI] = 2.10-30.5), female gender (OR = 3.23; CI, 1.21-8.78), staying in a nursing home for ≥5 years (OR = 3.12; CI, 1.24-8.33), and impaired awareness (OR = 4.25; CI, 1.56-12.32) were significantly associated with higher ADL dependence. Chronic obstructive pulmonary disease (COPD) was significantly associated with lower ADL dependence (OR = 0.31; CI, 0.01-0.84). The model explained 32% of the variance. The results suggest that when choosing interventions aimed at improving ADL functioning, special attention should be paid to residents living more than five years in the nursing home, with a female gender, with more severe cognitive impairments, and/or with COPD.

Setting up a Governance Framework for Secondary Use of Routine Health Data in Nursing Homes: Development Study Using Qualitative Interviews.

BACKGROUND: In the nursing home sector, reusing routinely recorded data from electronic health records (EHRs) for knowledge development and quality improvement is still in its infancy. Trust in appropriate and responsible reuse is crucial for patients and nursing homes deciding whether to share EHR data for these purposes. A data governance framework determines who may access the data, under what conditions, and for what purposes. This can help obtain that trust. Although increasing attention is being paid to data governance in the health care sector, little guidance is available on development and implementation of a data governance framework in practice. OBJECTIVE: This study aims to describe the development process of a governance framework for the "Registry Learning from Data in Nursing Homes," a national registry for EHR data on care delivered by nursing home physicians (in Dutch: specialist ouderengeneeskunde) in Dutch nursing homes-to allow data reusage for research and quality improvement of care. METHODS: Relevant stakeholders representing practices, policies, and research in the nursing home sector were identified. Semistructured interviews were conducted with 20 people from 14 stakeholder organizations. The main aim of the interviews was to explore stakeholders' perspectives regarding the Registry's aim, data access criteria, and governing bodies' tasks and composition. Interview topics and analyses were guided by 8 principles regarding governance for reusing health data, as described in the literature. Interview results, together with legal advice and consensus discussions by the Registry's consortium partners, were used to shape the rules, regulations, and governing bodies of the governance framework. RESULTS: Stakeholders valued the involvement of nursing home residents and their representatives, nursing home physicians, nursing homes' boards of directors, and scientists and saw this as a prerequisite for a trustworthy data governance framework. For the Registry, involvement of these groups can be achieved through a procedure in which residents can provide their consent or objection to the reuse of the data, transparency about the decisions made, and providing them a position in a governing body. In addition, a data request approval procedure based on predefined assessment criteria indicates that data reuse by third parties aligns with the aims of the Registry, benefits the nursing home sector, and protects the privacy of data subjects. CONCLUSIONS: The stakeholders' views, expertise, and knowledge of other frameworks and relevant legislation serve to inform the application of governance principles to the contexts of both the nursing home sector and the Netherlands. Many different stakeholders were involved in the development of the Registry Learning from Data in Nursing Homes' governance framework and will continue to be involved. Engagement of the full range of stakeholders in an early stage of governance framework development is important to generate trust in appropriate and responsible data reuse.

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.

The Perceived Impact of the Namaste Care Family Program on Nursing Home Residents with Dementia, Staff, and Family Caregivers: A Qualitative Study.

Objective(s): To examine the perspectives of staff, and family caregivers (i.e., family, friends, and volunteers) on the impact of the Namaste Care Family program on all involved. The Namaste Care Family program is a structured program for people with advanced dementia based on a palliative care approach in which family caregivers provide daily sessions together with staff with the aim to increase residents' quality of life. Methods: In this descriptive qualitative study, we interviewed 12 family caregivers, and 31 staff members from 10 nursing homes. Data was analyzed thematically. Results: A perceived impact of the program was identified for the residents, staff, and family caregivers. For residents, this included well-being, more engagement, enhanced interactions, changes in energy level, and weight gain. The impact on family caregivers included a more positive view of people with dementia, changes in family visits, mixed feelings during sessions, and mixed changes in relations with all involved. For staff, this included diverse work experiences, shift to more person-centered care (more time and attention for residents, and more awareness), and developing relationships with residents and colleagues. Conclusions: The Namaste Care Family program was valued for its observed benefits and shift towards a person-centered care culture.

Evaluating the feasibility, experiences, facilitators of and barriers to carers and volunteers delivering Namaste Care to people with dementia in their own home: a qualitative interview study in the UK and the Netherlands.

OBJECTIVES: To evaluate the feasibility, facilitators of and barriers to delivering Namaste Care by volunteers and family carers to community-dwelling people with dementia, and to map family carers and volunteers' experiences with the programme. DESIGN: Qualitative interview study with two phases: (1) preparation phase; (2) pilot phase. SETTING: Private residences of community-dwelling people with dementia in the UK and the Netherlands. PARTICIPANTS: Family carers and volunteers of community-dwelling people with dementia (phase 1: 36 Dutch interviews, phase 2: 9 Dutch and 16 UK interviews). INTERVENTION: Namaste Care is a multicomponent psychosocial programme, originally developed for people with dementia residing in long-term care facilities. Meaningful activities were offered by carers and volunteers. Each person with dementia was offered 10 one-hour sessions. RESULTS: Phase 1: Namaste Care was deemed feasible for community-dwelling people with dementia and no major adaptations to the programme were considered necessary. Phase 2: perceived effects of Namaste Care on people with dementia included improved mood and increased interaction. The programme appeared enriching for both family carers and volunteers, providing joy, respite from care and new insights for coping with challenging behaviour. A flexible attitude of the Namaste provider facilitated its delivery. High caregiver burden and a strained relationship between the family carer and person with dementia were considered barriers. Experiences of family carers and volunteers with Namaste Care were very positive (mean satisfaction rating: 8.7 out of 10, SD=0.9, range 7-10). CONCLUSION: We recommend offering Namaste Care delivered by volunteers, preferably multiple sessions per week of 1.5-2 hours to optimise quality of life of community-dwelling people with dementia. Working with well-matched, flexible Namaste providers is pivotal. Family involvement should be encouraged, although the extent should be adapted depending on preference, caregiver burden and the relationship between the family carer and the person with dementia. TRIAL REGISTRATION NUMBER: NL5570.