Dataset Information

Implementing the compassion intervention, a model for integrated care for people with advanced dementia towards the end of life in nursing homes: a naturalistic feasibility study.

ABSTRACT: BACKGROUND:Many people with dementia die in nursing homes, but quality of care may be suboptimal. We developed the theory-driven 'Compassion Intervention' to enhance end-of-life care in advanced dementia. OBJECTIVES:To (1) understand how the Intervention operated in nursing homes in different health economies; (2) collect preliminary outcome data and costs of an interdisciplinary care leader (ICL) to facilitate the Intervention; (3) check the Intervention caused no harm. DESIGN:A naturalistic feasibility study of Intervention implementation for 6 months. SETTINGS:Two nursing homes in northern London, UK. PARTICIPANTS:Thirty residents with advanced dementia were assessed of whom nine were recruited for data collection; four of these residents' family members were interviewed. Twenty-eight nursing home and external healthcare professionals participated in interviews at 7 (n=19), 11 (n=19) and 15 months (n=10). INTERVENTION:An ICL led two core Intervention components: (1) integrated, interdisciplinary assessment and care; (2) education and support for paid and family carers. DATA COLLECTED:Process and outcome data were collected. Symptoms were recorded monthly for recruited residents. Semistructured interviews were conducted at 7, 11 and 15 months with nursing home staff and external healthcare professionals and at 7?months with family carers. ICL hours were costed using Department of Health and Health Education England tariffs. RESULTS:Contextual differences were identified between sites: nursing home 2 had lower involvement with external healthcare services. Core components were implemented at both sites but multidisciplinary meetings were only established in nursing home 1. The Intervention prompted improvements in advance care planning, pain management and person-centred care; we observed no harm. Six-month ICL costs were £18?255. CONCLUSIONS:Implementation was feasible to differing degrees across sites, dependent on context. Our data inform future testing to identify the Intervention's effectiveness in improving end-of-life care in advanced dementia. TRIAL REGISTRATION:ClinicalTrials.gov:NCT02840318: Results.

SUBMITTER: Moore KJ

PROVIDER: S-EPMC5541605 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Implementing the compassion intervention, a model for integrated care for people with advanced dementia towards the end of life in nursing homes: a naturalistic feasibility study.

Moore Kirsten J KJ Candy Bridget B Davis Sarah S Gola Anna A Harrington Jane J Kupeli Nuriye N Vickerstaff Victoria V King Michael M Leavey Gerard G Nazareth Irwin I Omar Rumana Z RZ Jones Louise L Sampson Elizabeth L EL

BMJ open 20170710 6

<h4>Background</h4>Many people with dementia die in nursing homes, but quality of care may be suboptimal. We developed the theory-driven 'Compassion Intervention' to enhance end-of-life care in advanced dementia.<h4>Objectives</h4>To (1) understand how the Intervention operated in nursing homes in different health economies; (2) collect preliminary outcome data and costs of an interdisciplinary care leader (ICL) to facilitate the Intervention; (3) check the Intervention caused no harm.<h4>Design ...[more]

PMID: 28694253

Similar Datasets

Project description:BackgroundPet robots have been employed as viable substitutes to pet therapy in nursing homes. Despite their potential to enhance the psychosocial health of residents with dementia, there is a lack of studies that have investigated determinants of implementing pet robots in real-world practice. This study aims to explore the determinants of implementing pet robots for dementia care in nursing homes, from the perspectives of healthcare professionals and organisational leaders.MethodsA descriptive qualitative study, conceptualised and guided using the Consolidated Framework of Implementation Research (CFIR), was conducted. We conducted semi-structured interviews with healthcare professionals and organisational leaders from nursing homes. Data was transcribed and analysed using Framework Analysis, based on the CFIR as an a priori framework.ResultsA total of 22 participants from eight nursing homes were included. Determinants were mapped to constructs from all five CFIR domains. Determinants relating to the characteristics of pet robots include their design, realisticness and interactivity, affordability, cleanability, perceived evidence strength and comparative advantages to live pets. Determinants relating to external influences (outer setting) include national regulatory guidelines, funding and networks with other organisations. With regards to characteristics of nursing homes (inner setting), determinants include the relevance of pet robots in relation to the needs of residents with dementia, alignment with care processes, infection control mandates and their relative priority. In the domain 'characteristics of individuals', determinants were associated with individuals' beliefs on the role of technology, desires to enhance residents' quality of life, and differential attitudes on the use of robots. Finally, in the domain 'implementation process', assessments and care planning were identified as determinants.ConclusionsOverall, while sentiments around determinants within CFIR domains of pet robots' characteristics, outer setting and implementation process were similar, participants' opinions on the determinants within the 'inner setting' and 'characteristics of individuals' were more varied. This could be due to different organisational structures, disciplinary differences and personal experiences of using pet robots. Many determinants in different domains were interrelated. Findings provide a springboard for identifying and designing implementation strategies to guide the translation of pet robots from research into real-world practice.

Project description:BackgroundNeuropsychiatric symptoms occur frequently in many nursing home residents with dementia. Despite the availability of multidisciplinary guidelines, neuropsychiatric symptoms are often inadequately managed. Three proven effective methods for managing neuropsychiatric symptoms were integrated into a single intervention method: the STIP-Method, a personalized integrated stepped-care method to prevent and treat neuropsychiatric symptoms. The STIP-Method comprises 5 phases of clinical reasoning to neuropsychiatric symptoms and 4 stepped-care interventions and is supported with a web application.ObjectiveThis study aims to identify the facilitators and barriers in the implementation of the STIP-Method in nursing homes.MethodsA mixed methods design within a participatory action research was used to implement the STIP-Method in 4 facilities of 2 Dutch nursing home organizations. In total, we aimed at participation of 160-200 persons with dementia and expected an intervention fidelity of 50% or more, based on earlier studies regarding implementation of effective psychosocial interventions to manage neuropsychiatric symptoms. All involved managers and professionals were trained in the principles of the STIP-Method and in using the web application. An advisory board of professionals, managers, and informal caregivers in each facility supported the implementation during 21 months, including an intermission of 6 months due to the COVID-19 pandemic. In these 6-weekly advisory board meetings, 2 researchers stimulated the members to reflect on progress of the implementation by making use of available data from patient records and the web application. Additionally, the 2 researchers invited the members to suggest how to improve the implementation. Data analysis will involve (1) analysis of facilitators and barriers to the implementation derived from verbatim text reports of advisory board meetings to better understand the implementation process; (2) analysis of patient records in accordance with multidisciplinary guidelines to neuropsychiatric symptoms: personalized, interdisciplinary, and proactive management of neuropsychiatric symptoms; (3) evaluation of the web application in terms of usability scores; (4) pre- and postimplementation analysis of patient records and the web application to evaluate the impact of the STIP-Method, such as changes in neuropsychiatric symptoms and informal caregiver burden.ResultsWe enrolled 328 persons with dementia. Data collection started in July 2019 and ended in December 2021. The first version of this manuscript was submitted in October 2021. The first results of data analysis are expected to be published in December 2022 and final results in June 2023.ConclusionsOur study may increase understanding of facilitators and barriers to the prevention and treatment of neuropsychiatric symptoms in nursing home residents with dementia by implementing the integrated STIP-Method. The need for well-designed implementation studies is of importance to provide nursing homes with optimal tools to prevent and treat neuropsychiatric symptoms.International registered report identifier (irrid)DERR1-10.2196/34550.

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.

Project description:IntroductionMany people living with advanced dementia live and die in nursing care homes. The quality of life, care and dying experienced by these people is variable. Namaste Care is a multisensory programme of care developed for people with advanced dementia. While there is emerging evidence that Namaste Care may be beneficial for people with dementia, there is a need to conduct a feasibility study to establish the optimum way of delivering this complex intervention and whether benefits can be demonstrated in end-of-life care, for individuals and service delivery. The aim of the study is to ascertain the feasibility of conducting a full trial of the Namaste Care intervention.Methods and analysisA feasibility study, comprising a parallel, two-arm, multicentre cluster controlled randomised trial with embedded process and economic evaluation. Nursing care homes (total of eight) who deliver care to those with advanced dementia will be randomly allocated to intervention (delivered at nursing care home level) or control. Three participant groups will be recruited: residents with advanced dementia, informal carers of a participating resident and nursing care home staff. Data will be collected for 6 months. Feasibility objectives concern the recruitment and sampling of nursing homes, residents, informal carers and staff; the selection and timing of primary (quality of dying and quality of life) and secondary clinical outcome measures (person centredness, symptom presence, agitation, quality of life, resource use and costs and residents' activity monitored using actigraphy). Acceptability, fidelity and sustainability of the intervention will be assessed using semistructured interviews with staff and informal carers.Ethics and disseminationThis protocol has been approved by NHS Wales Research Ethics Committee 5 (ref: 17/WA0378). Dissemination plans include working with a public involvement panel, through a website (http://www.namastetrial.org.uk), social media, academic and practice conferences and via peer reviewed publications.Trial registration numberISRCTN14948133; Pre-results.

Project description:Demand for nursing home (NH) care by patients with end-stage renal disease (ESRD) is likely to increase with growing numbers of older adults initiating chronic dialysis. We completed a systematic review to summarize the literature on NH residents with ESRD.MEDLINE, CINAHL, EMBASE, and relevant conference proceedings were searched to identify articles using the following MESH terms or related key words in the title or abstract: "residential facilities", "renal dialysis", "renal replacement therapy", and "chronic kidney failure". We selected case control, cohort studies, and clinical trials that included older adults with ESRD (defined as those receiving chronic dialysis or those with stage 5 chronic kidney disease) living in residential care facilities. We abstracted information on study design, quality, and results.Of 198 unique citations identified by the search strategy, 14 articles met eligibility criteria. Most articles were multicenter studies that were conducted in the 1990 s. One study focused on patients with stage 5 chronic kidney disease, and the remaining 13 studies focused on patients receiving chronic dialysis, of which eight studies included only those receiving peritoneal dialysis, four studies included patients receiving both peritoneal dialysis and hemodialysis, and one study included only patients receiving hemodialysis. All studies were observational, no clinical trials were identified, and study design limitations and heterogeneity within study populations were common. Summarizing results across these studies suggests that NH residents with ESRD have limited survival, particularly early after dialysis initiation. Functional impairment is highly prevalent in this population and independently associated with poor outcomes.NH residents with ESRD appear to be a particularly vulnerable population, but current information on their prevalence, characteristics, and outcomes is limited. Further research is needed to provide a better understanding of modifiable predictors of survival and functional decline in this population.

Project description:BackgroundNursing homes are likely to become increasingly important as end-of-life care facilities. Previous studies indicate that individuals residing in these facilities have a high prevalence of end-of-life symptoms and a significant need for palliative care. The aim of this study was to develop an end-of-life care program for nursing homes in Spain based on previous models yet adapted to the specific context and the needs of staff in nursing homes in the country.MethodsA descriptive study of a complex intervention procedure was developed. The study consisted of three phases. The first phase was a prospective study assessing self-efficacy in palliative care (using the SEPC scale) and attitudes towards end-of-life care (using the FATCOD-B scale) among nursing home staff before and after the completion of a basic palliative care training program. In the second phase, objectives were selected using the Delphi consensus technique, where nursing home and primary care professionals assessed the relevance, feasibility, and level of attainment of 42 quality standards. In phase 3, interventions were selected for these objectives through two focus group sessions involving nursing home, primary care, and palliative care professionals.ResultsAs a result of the training, an improvement in self-efficacy and attitudes towards end-of-life care was observed. In phase 2, 14 standards were selected and grouped into 5 objectives: to conduct a comprehensive assessment and develop a personalized care plan adapted to the palliative needs detected; to provide information in a clear and accessible way; to request and record advance care directives; to provide early care with respect to loss and grief; to refer patients to a specialized palliative care unit if appropriate, depending on the complexity of the palliative care required. Based on these objectives, the participants in the focus group sessions designed the 22 interventions that make up the program.ConclusionsThe objectives and interventions of the NUHELP program constitute an end-of-life care program which can be implemented in nursing homes to improve the quality of end-of-life care in these facilities by modifying their clinical practice, organization, and relationship with the health system as well as serving as an example of an effective health intervention program.

Dataset Information

Implementing the compassion intervention, a model for integrated care for people with advanced dementia towards the end of life in nursing homes: a naturalistic feasibility study.

Publications

Implementing the compassion intervention, a model for integrated care for people with advanced dementia towards the end of life in nursing homes: a naturalistic feasibility study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets