The Perspective of Residents Living With Dementia Toward Their Built Environment: A Walking Interview Study in German Nursing Homes
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PROVIDER: S-EPMC11253206 | biostudies-literature | 2024 Jan
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Project description:ObjectiveNursing homes (NHs) are serving an increasing proportion of residents with cognitive issues (e.g., dementia) and mental health conditions. This study aims to: (1) implement unsupervised machine learning to cluster NHs based on residents' dementia and mental health conditions; (2) examine NH staffing related to the clusters; and (3) investigate the association of staffing and NH quality (measured by the number of deficiencies and deficiency scores) in each cluster.Data sources2009-2017 Certification and Survey Provider Enhanced Reporting (CASPER) were merged with LTCFocUS.org data on NHs in the United States.Study designUnsupervised machine learning algorithm (K-means) clustered NHs based on percent residents with dementia, depression, and serious mental illness (SMI, e.g., schizophrenia, anxiety). Panel fixed-effects regressions on deficiency outcomes with staffing-cluster interactions were conducted to examine the effects of staffing on deficiency outcomes in each cluster.Data extraction methodsWe identified 110,463 NH-year observations from 14,671 unique NHs using CASPER data.Principal findingsThree clusters were identified: low dementia and mental illnesses (Postacute Cluster); high dementia and depression, but low SMI (Long-stay Cluster); and high dementia and mental illnesses (Cognitive-mental Cluster). From 2009 to 2017, the number of Postacute Cluster NHs increased from 3074 to 5719, while the number of Long-stay Cluster NHs decreased from 6745 to 3058. NHs in Long-stay/Cognitive-mental Clusters reported slightly lower nursing staff hours in 2017. Regressions suggested the effect of increasing staffing on reducing deficiencies is statistically similar across NH clusters. For example, 1 hour increase in registered nurse hours per resident day was associated with -0.67 (standard error [SE] = 0.11), -0.88 (SE = 0.12), and -0.97 (SE = 0.15) deficiencies in Postacute Cluster, Long-stay Cluster, and Cognitive-mental Cluster, respectively.ConclusionsUnsupervised machine learning detected a changing landscape of NH serving residents with dementia and mental illnesses, which requires assuring staffing levels and trainings are suited to residents' needs.
| S-EPMC9108080 | biostudies-literature
Project description:BackgroundSevere agitation and its relation to single dimensions of quality of life are not well understood. The aim of this study was to gain more knowledge about severe agitation and to examine the relationships between the severity of agitation and single dimensions of quality of life among residents with dementia living in German nursing homes.MethodsThis exploratory secondary analysis included data from 1947 residents of 66 German nursing homes from the DemenzMonitor study. The construct of agitation was defined as a composite score of the items agitation/aggression, irritability/lability and disinhibition from the Neuropsychiatric Inventory Questionnaire (NPI-Q); the resident was classified as severely agitated if at least one of these symptoms was rated as 'severe'. The single dimensions of quality of life were measured with the short version of the QUALIDEM instrument. To avoid selection bias, two controls with mild or no agitation were selected for each resident with severe agitation using propensity score matching. Mixed linear regression models were then generated to determine the differences in the dimensions of quality of life for the severity of agitation and the defining items.ResultsFor four out of five dimensions of quality of life of the short version of QUALIDEM, residents with severe agitation had significantly lower values than residents without severe agitation. Converted to scale size, the greatest difference between both groups was found in the dimension social isolation with 23.0% (-2.07 (95% CI: -2.57, -1.57)). Further differences were found in the dimensions restless tense behaviour with 16.9% (-1.52 (95% CI: -2.04, -1.00)), positive affect with 14.0% (-1.68 (95% CI: -2.28, -1.09)) and social relations with 12.4% (-1.12 (95% CI: -1.54, -0.71)).ConclusionsSevere agitation is a relevant phenomenon among nursing home residents with dementia and is associated with lower values of quality of life in the dimensions social isolation, restless tense behaviour, positive affect and social relations from the QUALIDEM instrument. Therefore, more attention should be paid to severe agitation in nursing practice and research. Moreover, care strategies used to reduce severe agitation should be considered in terms of their impact on the dimensions of quality of life.
| S-EPMC8042694 | biostudies-literature
Project description:BackgroundDisturbed sleep among people living with dementia in nursing homes is widespread and is associated with diseases and all-cause mortality. This study examined the sleep of people living with dementia from their perspectives in nursing homes and that of the nurses who care for people living with dementia.MethodsA qualitative cross-sectional study was conducted. A total of 15 people living with dementia and 15 nurses in 11 German nursing homes were enrolled in this study. Data was collected between February and August 2021 through semistructured interviews, which were audio recorded and transcribed. Thematic analyses were performed by three independent researchers. Thematic mind maps and controversial findings were discussed with the Research Working Group of People with Dementia of the German Alzheimer Association.ResultsThematic analysis identified five overarching themes from the nursing home participants regarding sleep patterns: (1) characteristics of good sleep, (2) characteristics of bad sleep, (3) personal influences of people living with dementia on sleep, (4) environmental factors on sleep, and (5) sleep strategies of people living with dementia. Analysis also identified five overarching themes from the nurses participants: (1) characteristics of good sleep, (2) characteristics of bad sleep, (3) personal influences on sleep, (4) environmental factors on sleep, and (5) interventions for sleep promotion.ConclusionsThe thematic analyses demonstrated that the perspectives of people living with dementia and nurses indicate the need to give more consideration to psychosocial factors and individual aspects of sleep in clinical practice. The results could also be helpful for the development of targeted assessment instruments and complex non-pharmacological interventions to promote sleep.
| S-EPMC10214326 | biostudies-literature
Project description:BACKGROUND:Nursing homes are becoming more important for end-of-life care. Within the industrialised world, Germany is among the countries with the most end-of-life hospitalizations in nursing home residents. To improve end-of-life care, investigation in the status quo is required. The objective was to gain a better understanding of the perspectives of nursing home staff on the current situation of end-of-life care in Germany. METHODS:A cross-sectional study was conducted as a postal survey among a random sample of 1069 German nursing homes in 2019. The survey was primarily addressed to nursing staff management. Data was analyzed using descriptive statistics. Staff was asked to rate different items regarding common practices and potential deficits of end-of-life care on a 5-point-Likert-scale. Estimations of the proportions of in-hospital deaths, residents with advance directives (AD), cases in which documented ADs were ignored, and most important measures for improvement of end-of-life care were requested. RESULTS:486 (45.5%) questionnaires were returned, mostly by nursing staff managers (64.7%) and nursing home directors (29.9%). 64.4% of the respondents rated end-of-life care rather good, the remainder rated it as rather bad. The prevalence of in-hospital death was estimated by the respondents at 31.5% (SD: 19.9). Approximately a third suggested that residents receive hospital treatments too frequently. Respondents estimated that 45.9% (SD: 21.6) of the residents held ADs and that 28.4% (SD: 26.8) of available ADs are not being considered. Increased staffing, better qualification, closer involvement of general practitioners and better availability of palliative care concepts were the most important measures for improvement. CONCLUSIONS:Together with higher staffing, better availability and integration of palliative care concepts may well improve end-of-life care. Prerequisite for stronger ties between nursing home and palliative care is high-quality education of those involved in end-of-life care.
| S-EPMC6942381 | biostudies-literature
Project description:BackgroundeHealth interventions constitute a promising approach to disease prevention, particularly because of their ability to facilitate lifestyle changes. Although a rather recent development, eHealth interventions might be able to promote brain health and reduce dementia risk in older adults.ObjectiveThis study aimed to explore the perspective of general practitioners (GPs) on the potentials and barriers of eHealth interventions for brain health. Understanding the perspective of GPs allows us to identify chances and challenges for implementing eHealth apps for dementia risk reduction.MethodsWe conducted semistructured expert interviews with 9 GPs working in an outpatient setting in and near Leipzig, Germany. Data were fully transcribed and analyzed using a process model of qualitative content analysis with codes and categories being constructed inductively and deductively.ResultsWe found generally favorable but balanced views of eHealth apps for brain health. Eight themes were identified and elaborated on in the data as follows: "addressing dementia," "knowledge about dementia," "need for information," "potential for prevention," "chances for apps for prevention," "development of apps for prevention," and "barriers of apps for prevention." GPs talked mostly about how and when to address dementia and the requirements for their use of eHealth apps for dementia prevention. GPs stated that they only addressed dementia once abnormalities were already present or less frequently when a patient or relative expressed a direct wish, while individual dementia risk or standardized diagnostic during routine check-ups were mentioned much less frequently. According to GPs, knowledge about dementia in patients was low; therefore, patients expressed little need for information on dementia risk factors and prevention in GP practices. Most patients wished for quick information regarding diagnostics, treatment options, and progression of the disease. GPs mentioned a lack of overview of the available eHealth apps and their content. They also expressed a fear of inducing health anxiety when talking to patients about risk factors and prevention.ConclusionsGPs want patients to receive relevant and individualized information. Prerequisites for the use of eHealth apps for dementia prevention were app characteristics related to design and content. GPs need to address dementia more routinely, assess relevant risk factors, and aid patients in a preventive role. Concerns were expressed over limited effectiveness, overwhelming patients, limited use in clinical practice, and only targeting patients with an already low risk of dementia.
| S-EPMC11799816 | biostudies-literature
Project description:BackgroundPet robots are a type of technology-based innovation that have shown positive psychosocial benefits for people with dementia in residential facilities, such as improving mood and social interaction and reducing agitation. Nevertheless, little is known about how pet robots can be implemented in care homes and nursing homes for dementia care in real-world practice. The objectives of this study are to (1) identify contextualised implementation strategies for implementing pet robots into care homes and nursing homes for dementia care and (2) achieve consensus on the most relevant strategies.MethodThis study is informed by a preceding scoping review and qualitative study, which used the Consolidated Framework of Implementation Research (CFIR) to identify multi-level determinants of implementation (i.e. barriers and facilitators). We will use the CFIR-ERIC matching tool to identify relevant implementation strategies from the Expert Recommendations for Implementing Change (ERIC) taxonomy to address these determinants. Data from the scoping review and qualitative study will be used to contextualise the generic ERIC strategies for our setting. After that, a group of key stakeholders will be consulted to further contextualise and refine these strategies. Next, a two-round modified Delphi process will be conducted. Fifty-four international expert participants including healthcare professionals and organisational leaders from care homes and nursing homes and academic researchers will be recruited through purposive sampling. During the first Delphi round, participants will be invited to rate the relevance of each implementation strategy on a 9-point Likert scale and provide comments or suggestions. Descriptive statistics will be used to identify whether consensus has been obtained. Inductive qualitative content analysis will be used to analyse and summarise textual responses for any new statements suggested by participants. Statements that do not reach consensus and new statements suggested in round 1 will be taken to the next round, which will follow the same rating process.DiscussionThis study will identify strategies for implementing pet robots in care homes and nursing homes for residents with dementia, which will have practical utility for clinicians, organisations and researchers. It will also demonstrate the practical application (and adaptation) of the CFIR-ERIC tool to identify and contextualise ERIC strategies.
| S-EPMC9164492 | biostudies-literature
Project description:BackgroundThe Covid-19 pandemic and associated visiting restrictions have challenged communication with others for older people residing in nursing homes.AimThe aim of this study was to explore residents' experiences of encounters and communication with staff and relatives and friends during the Covid-19 pandemic.DesignAn exploratory study with an inductive approach.MethodsSemi-structured telephone interviews with 16 Swedish nursing home residents were conducted. Data were analyzed using qualitative content analysis; the study reports according to the COREQ checklist.ResultsThree main categories emerged: (1) Mixed feelings and experiences of encounters with nursing staff, (2) Adapting to hampered communication and finding strategies to overcome language barriers, and (3) Facing pandemic restrictions and living an adjusted life. Nine subcategories are reported within these categories. Residents mainly reported good encounters with staff and receiving the care they needed, but unhelpful encounters were also reported. To manage communication with staff with limited Swedish language skills, residents developed several strategies. During the visiting ban, residents felt secure but also lonely. Staying connected with the outside world required residents to use the phone and handle other digital aids, such as video calls, but lack of technical skills among staff hindered frequent use of video calls.ConclusionThis study highlights how residents can feel safe in extreme situations, but increased competence, including digital literacy and language skills, among staff is required. Care providers should provide relevant information to residents and staff and employ competent staff. Findings indicate that communication plans need to include enabling communication for residents both within and outside nursing homes, taking staff language skills into consideration.
| S-EPMC9744594 | biostudies-literature
Project description:ObjectiveTo determine whether a systematic approach to the treatment of pain can reduce agitation in people with moderate to severe dementia living in nursing homes.DesignCluster randomised controlled trial.Setting60 clusters (single independent nursing home units) in 18 nursing homes within five municipalities of western Norway.Participants352 residents with moderate to severe dementia and clinically significant behavioural disturbances randomised to a stepwise protocol for the treatment of pain for eight weeks with additional follow-up four weeks after the end of treatment (33 clusters; n = 175) or to usual treatment (control, 27 clusters; n = 177).InterventionParticipants in the intervention group received individual daily treatment of pain for eight weeks according to the stepwise protocol, with paracetamol (acetaminophen), morphine, buprenorphine transdermal patch, or pregabaline. The control group received usual treatment and care.Main outcome measuresPrimary outcome measure was agitation (scores on Cohen-Mansfield agitation inventory). Secondary outcome measures were aggression (scores on neuropsychiatric inventory-nursing home version), pain (scores on mobilisation-observation-behaviour-intensity-dementia-2), activities of daily living, and cognition (mini-mental state examination).ResultsAgitation was significantly reduced in the intervention group compared with control group after eight weeks (repeated measures analysis of covariance adjusting for baseline score, P < 0.001): the average reduction in scores for agitation was 17% (treatment effect estimate -7.0, 95% confidence interval -3.7 to -10.3). Treatment of pain was also significantly beneficial for the overall severity of neuropsychiatric symptoms (-9.0, -5.5 to -12.6) and pain (-1.3, -0.8 to -1.7), but the groups did not differ significantly for activities of daily living or cognition.ConclusionA systematic approach to the management of pain significantly reduced agitation in residents of nursing homes with moderate to severe dementia. Effective management of pain can play an important part in the treatment of agitation and could reduce the number of unnecessary prescriptions for psychotropic drugs in this population. Trial registration ClinicalTrials.gov NCT01021696 and Norwegian Medicines Agency EudraCTnr 2008-007490-20.
| S-EPMC3137923 | biostudies-literature
Project description:ObjectivesTo validate the ICECAP-O capability wellbeing measure's German translation in older people with dementia living in a nursing home, and to investigate the influence of proxy characteristics on responses.MethodCross-sectional study. For 95 residents living in a German nursing home, questionnaires were completed by nursing professionals serving as proxy respondents. We investigated the convergent validity of the ICECAP-O with other Quality of Life (Qol) measures, the EQ-5D extended with a cognitive dimension (EQ-5D+C), the Alzheimer's Disease Related Quality of Life (ADRQL) measures, and the Barthel-index measure of Activities of Daily Living (ADL). Discriminant validity was investigated using bivariate and multivariate stepwise regression analysis, comparing ICECAP-O scores between subgroups varying in dementia severity, care dependency, ADL status and demographic characteristics.ResultsConvergent validity between the ICECAP-O, EQ-5D+C, ADRQL and Barthel-Index scores was moderate to good (with correlations of 0.72, 0.69 and 0.53 respectively), but differed considerably between dimensions of the instruments. Discriminant validity was confirmed by finding differences in ICECAP-O scores between subgroups based on ADL scores (0.58 below 65 points on the Barthel-index and 0.80 above 65 points) and other characteristics. The ICECAP-O scores based on available tariffs were related to proxy characteristics gender (0.52 males versus 0.65 females) and work experience (0.61 below 2 years of experience versus 0.68 above 2 years).DiscussionThe results of this study suggest that the ICECAP-O is a promising generic measure for general Qol and capability of people with dementia living in a nursing home. Validity tests generally yielded favorable results. Work experience and gender appeared to influence proxy response, which raises questions regarding appropriate proxies, especially since the ICECAP-O may be completed by proxies relatively often. Further research is necessary to validate the German version of the ICECAP-O, with specific attention to proxy completion for people with dementia.
| S-EPMC3954837 | biostudies-literature
Project description:ObjectiveTo estimate and contrast the relationships between nurse staffing and health outcomes in nursing homes with low and high dementia census, to understand the association of staffing hours with dementia care quality.Data sources and study settingA national sample of nursing homes during 2017-2019 (pre-COVID). Data included the Payroll-Based Journal, Medicare Claims, Nursing Home Care Compare, and Long-Term Care Focus.Study designRetrospective, regression analyses. We estimated separate linear models predicting six long-term facility-level outcomes. Independent variables included staffing hours per resident-day (HPRD) interacted with the facility percentage of dementia residents, controlling for other resident and facility characteristics.Data collection/extraction methodsHospital-based nursing homes, those with fewer than 30% dementia residents, and missing data were excluded.Principal findingsWe found that registered nurses and certified nurse assistants HPRDs were likely to exhibit positive returns in terms of outcomes throughout most of the range of HPRD for both high and low-census dementia facilities, although, high- and low-dementia facilities differed in most outcome rates at all staffing levels. Average predicted antipsychotics and activities of daily living as functions of HPRD were worse in higher dementia facilities, independent movement, and hospitalizations did not differ significantly, and Emergency Rooms and pressure sores were worse in lower dementia facilities. Average marginal effects were not statistically different [CI included zero] between the high and low dementia facilities for any outcome.ConclusionsThese findings suggest that increasing staffing will improve outcomes by similar increments in both low- and high-dementia facilities for all outcomes. However, at any given level of staffing, absolute differences in outcomes between low- and high-dementia facilities remain, suggesting that additional staffing alone will not suffice to close these gaps. Further studies are required to identify opportunities for improvement in performance for both low- and high-dementia census facilities.
| S-EPMC11250382 | biostudies-literature