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.
- MeSH
- kohortové studie MeSH
- lidé MeSH
- longitudinální studie * MeSH
- prevalence MeSH
- průřezové studie MeSH
- senioři MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Evropa MeSH
PURPOSE: Because of the common and increasing use of antipsychotics in older adults, we aim to summarize the current knowledge on the causes of antipsychotic-related risk of falls in older adults. We also aim to provide information on the use of antipsychotics in dementia, delirium and insomnia, their adverse effects and an overview of the pharmacokinetic and pharmacodynamic mechanisms associated with antipsychotic use and falls. Finally, we aim to provide information to clinicians for weighing the benefits and harms of (de)prescribing. METHODS: A literature search was executed in CINAHL, PubMed and Scopus in March 2022 to identify studies focusing on fall-related adverse effects of the antipsychotic use in older adults. We focused on the antipsychotic use for neuropsychiatric symptoms of dementia, insomnia, and delirium. RESULTS: Antipsychotics increase the risk of falls through anticholinergic, orthostatic and extrapyramidal effects, sedation, and adverse effects on cardio- and cerebrovascular system. Practical resources and algorithms are available that guide and assist clinicians in deprescribing antipsychotics without current indication. CONCLUSIONS: Deprescribing of antipsychotics should be considered and encouraged in older people at risk of falling, especially when prescribed for neuropsychiatric symptoms of dementia, delirium or insomnia. If antipsychotics are still needed, we recommend that the benefits and harms of antipsychotic use should be reassessed within two to four weeks of prescription. If the use of antipsychotic causes more harm than benefit, the deprescribing process should be started.
- MeSH
- antipsychotika * škodlivé účinky MeSH
- delirium * chemicky indukované farmakoterapie MeSH
- demence * farmakoterapie chemicky indukované MeSH
- lidé MeSH
- poruchy iniciace a udržování spánku * chemicky indukované farmakoterapie MeSH
- senioři MeSH
- úrazy pádem prevence a kontrola MeSH
- Check Tag
- lidé MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
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.
PURPOSE: Fall-Risk Increasing Drugs (FRIDs) are an important and modifiable fall-risk factor. A Clinical Decision Support System (CDSS) could support doctors in optimal FRIDs deprescribing. Understanding barriers and facilitators is important for a successful implementation of any CDSS. We conducted a European survey to assess barriers and facilitators to CDSS use and explored differences in their perceptions. METHODS: We examined and compared the relative importance and the occurrence of regional differences of a literature-based list of barriers and facilitators for CDSS usage among physicians treating older fallers from 11 European countries. RESULTS: We surveyed 581 physicians (mean age 44.9 years, 64.5% female, 71.3% geriatricians). The main barriers were technical issues (66%) and indicating a reason before overriding an alert (58%). The main facilitators were a CDSS that is beneficial for patient care (68%) and easy-to-use (64%). We identified regional differences, e.g., expense and legal issues were barriers for significantly more Eastern-European physicians compared to other regions, while training was selected less often as a facilitator by West-European physicians. Some physicians believed that due to the medical complexity of their patients, their own clinical judgement is better than advice from the CDSS. CONCLUSION: When designing a CDSS for Geriatric Medicine, the patient's medical complexity must be addressed whilst maintaining the doctor's decision-making autonomy. For a successful CDSS implementation in Europe, regional differences in barrier perception should be overcome. Equipping a CDSS with prediction models has the potential to provide individualized recommendations for deprescribing FRIDs in older falls patients.
- MeSH
- lékaři * MeSH
- lidé MeSH
- náchylnost k nemoci MeSH
- průzkumy a dotazníky MeSH
- řízení rizik MeSH
- senioři MeSH
- systémy pro podporu klinického rozhodování * MeSH
- úrazy pádem prevence a kontrola MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
BACKGROUND: Healthcare professionals are often reluctant to deprescribe fall-risk-increasing drugs (FRIDs). Lack of knowledge and skills form a significant barrier and furthermore, there is no consensus on which medications are considered as FRIDs despite several systematic reviews. To support clinicians in the management of FRIDs and to facilitate the deprescribing process, STOPPFall (Screening Tool of Older Persons Prescriptions in older adults with high fall risk) and a deprescribing tool were developed by a European expert group. METHODS: STOPPFall was created by two facilitators based on evidence from recent meta-analyses and national fall prevention guidelines in Europe. Twenty-four panellists chose their level of agreement on a Likert scale with the items in the STOPPFall in three Delphi panel rounds. A threshold of 70% was selected for consensus a priori. The panellists were asked whether some agents are more fall-risk-increasing than others within the same pharmacological class. In an additional questionnaire, panellists were asked in which cases deprescribing of FRIDs should be considered and how it should be performed. RESULTS: The panellists agreed on 14 medication classes to be included in the STOPPFall. They were mostly psychotropic medications. The panellists indicated 18 differences between pharmacological subclasses with regard to fall-risk-increasing properties. Practical deprescribing guidance was developed for STOPPFall medication classes. CONCLUSION: STOPPFall was created using an expert Delphi consensus process and combined with a practical deprescribing tool designed to optimise medication review. The effectiveness of these tools in falls prevention should be further evaluated in intervention studies.
- MeSH
- delfská metoda MeSH
- léčivé přípravky * MeSH
- lékařské předpisy MeSH
- lidé MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- úrazy pádem * prevence a kontrola MeSH
- Check Tag
- lidé MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Evropa MeSH
OBJECTIVES: interRAI launched this study to introduce a set of standardized self-report measures through which residents of long-term care facilities (LTCFs) could describe their quality of life and services. This article reports on the international development effort, describing measures relative to privacy, food, security, comfort, autonomy, respect, staff responsiveness, relationships with staff, friendships, and activities. First, we evaluated these items individually and then combined them in summary scales. Second, we examined how the summary scales related to whether the residents did or did not say that the LTCFs in which they lived felt like home. DESIGN: Cross-sectional self-report surveys by residents of LTCFs regarding their quality of life and services. SETTING/PARTICIPANTS: Resident self-report data came from 16,017 individuals who resided in 355 LTCFs. Of this total, 7113 were from the Flanders region of Belgium, 5143 residents were from Canada, and 3358 residents were from the eastern and mid-western United States. Smaller data sets were collected from facilities in Australia (20), the Czech Republic (72), Estonia (103), Poland (118), and South Africa (87). MEASUREMENTS: The interRAI Self-Report Quality of Life Survey for LTCFs was used to assess residents' quality of life and services. It includes 49 items. Each area of inquiry (eg, autonomy) is represented by multiple items; the item sets have been designed to elicit resident responses that could range from highly positive to highly negative. Each item has a 5-item response set that ranges from "never" to "always." RESULTS: Typically, we scored individual items scored based on the 2 most positive categories: "sometimes" and "always." When these 2 categories were aggregated, among the more positive items were: being alone when wished (83%); decide what clothes to wear (85%); get needed services (87%); and treated with dignity by staff (88%). Areas with a less positive response included: staff knows resident's life story (30%); resident has enjoyable things to do on weekends (32%); resident has people to do things with (33%); and resident has friendly conversation with staff (45%). We identified 5 reliable scales; these scales were positively associated with the resident statement that the LTCF felt like home. Finally, international score standards were established for the items and scales. CONCLUSIONS: This study establishes a set of standardized, self-report items and scales with which to assess the quality of life and services for residents in LTCFs. The study also demonstrates that these scales are significantly related to resident perception of the home-like quality of the facilities.
- MeSH
- dlouhodobá péče * MeSH
- internacionalita * MeSH
- kvalita života * MeSH
- lidé MeSH
- pacienti psychologie MeSH
- průřezové studie MeSH
- průzkumy a dotazníky MeSH
- senioři MeSH
- zpráva o sobě MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- práce podpořená grantem MeSH
OBJECTIVES: To describe health care and preventive service provision to nursing home (NH) residents with diabetes mellitus (DM) and to analyze factors determining use of selected services. DESIGN: In the period between 2009 and 2011, the Services and Health for Elderly in Long TERm care (SHELTER) project, a 12-month prospective cohort study, was conducted to assess 4037 NH residents aged 60 years and older residing in 59 NHs in 7 European countries and Israel. METHODS: The InterRAI tool for long-term care facilities was used to assess care needs and provided health care services. Descriptive statistics and multivariate logistic regression were applied to describe differences between NH residents with (DR) and without DM (non-DR), and to find factors determining use of services and care provided to both groups. RESULTS: DR more often than non-DR were hospitalized (18.2% vs 14.3%) and required rehabilitation (23.8% vs 18.2%) or clinically complex care (15.9% vs 13.7%). They also more frequently received a repositioning program (26.8% vs 22.7%), a wound care (15.1% vs 9.8%), and some preventive services as yearly eye examination (41.0% vs 35.9%), pneumococcal vaccination (33.5% vs 26.6%), mammography in women (12.1% vs 7.4%), and colonoscopy (5.6% vs 3.6%). Yet, rates of some of them (mammography, colonoscopy, hearing and dental examinations) were very low in both study cohorts with exception of annual influenza vaccination (82.1%) and yearly blood pressure checkup (95.0%). Interestingly, DM enhanced odds only for mammography [odds ratio (OR) 1.55, 95% confidence interval [CI] 1.15-2.09, P = .004) and eye examination (OR 1.21, 95% CI 1.03-1.42; P = .018). CONCLUSIONS: DR more frequently receive care related to DM clinical complexity; nevertheless, the recommended frequency of preventive procedures is not met both in DR and non-DR.
- MeSH
- diabetes mellitus * MeSH
- lidé středního věku MeSH
- lidé MeSH
- logistické modely MeSH
- poskytování zdravotní péče * MeSH
- preventivní lékařství * MeSH
- prospektivní studie MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Evropa MeSH
- Izrael MeSH
OBJECTIVES: The objectives of this study were to describe the prevalence of diabetes mellitus (DM) in European nursing homes (NHs), and the health and functional characteristics of diabetic residents (DMR) aged 60 years and older. DESIGN: Between 2009 and 2011, the Services and Health for Elderly in Long TERm care (SHELTER) project, a 12-month prospective cohort study, was conducted to assess NH residents across different health care systems in 7 European countries and Israel. METHODS: The study included 59 NHs in 8 countries with a total of 4037 residents living in or admitted to a NH during the 3-month enrollment period. The multidimensional InterRAI instrument for Long-Term Care Facilities (InterRAI-LTCF) was used to assess health and functional status among residents. Descriptive statistics and linear, ordinal, and logistic regression were used to perform the analyses. RESULTS: We found a 21.8% prevalence of DM among NH residents. Residents with DM (DMRs) were significantly younger compared with non-DMRs (82.3, SD ± 7.7; 84.6, SD ± 8.4; P < .001). DMRs were more frequently overweight or obese, and presented more often with ischemic heart disease, congestive heart failure, hypertension, and stroke than residents without DM. DMRs also took more drugs, had pressure ulcers (PU) or other wounds more often, and more frequently had urinary incontinence (UI); they also reported worse self-perceived health. DM independently of other factors increased risk of PU occurrence (odds ratio 1.38; 95% confidence interval [CI] 1.02-1.86; P = .036) and decreased probability of higher pain scores (B = -0.28; 95% CI -0.41 to -0.14; P < .001). DM was not associated with ADL dependency, cognitive impairment, and depression in NH residents. CONCLUSION: Prevalence of DM in European NH residents is comparable to US national NH surveys, and to UK and German NH data based on glucose-level testing. DMRs compared with non-DMRs have more comorbid conditions, and a particularly higher incidence of cardiovascular diseases and obesity, PU, and severe UI. DMRs should be regarded as a specific group of residents who require an interdisciplinary approach in medical and nursing care.
- MeSH
- diabetes mellitus diagnóza epidemiologie MeSH
- dlouhodobá péče MeSH
- domovy pro seniory * MeSH
- geriatrické hodnocení MeSH
- kohortové studie MeSH
- komplikace diabetu diagnóza epidemiologie MeSH
- kvalita života * MeSH
- lidé středního věku MeSH
- lidé MeSH
- lineární modely MeSH
- logistické modely MeSH
- míra přežití MeSH
- multivariační analýza MeSH
- neparametrická statistika MeSH
- pečovatelské domovy * MeSH
- prevalence MeSH
- prognóza MeSH
- prospektivní studie MeSH
- rozložení podle pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- stupeň závažnosti nemoci MeSH
- věkové rozložení MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- práce podpořená grantem MeSH
- srovnávací studie MeSH
- Geografické názvy
- Evropa MeSH
