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临床试验/NCT03590470
NCT03590470已完成不适用

Nurse-led Care Model in Swiss Nursing Homes: Improving INTERprofessional CARE for Better Resident Outcomes (INTERCARE)

University of Basel13 个研究点 分布在 1 个国家目标入组 944 人开始时间: 2018年6月20日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
944
试验地点
13
主要终点
Number of all unplanned hospitalizations /1000 resident care days

研究概览

简要总结

This implementation science project aims to implement a nurse-led model of care in 11 nursing homes in the German speaking part of Switzerland, to reduce avoidable hospitalisations. The model will be introduced using a non-randomized stepped-wedge design. First, training will be delivered to leadership teams and to geriatric nurse experts, secondly after a baseline measurement period, including distribution of questionnaires and collection of resident data mainly national quality indicators and data regarding hospitalisations, the nurse led model will be implemented and thereafter 2 measurement periods will follow (6 months after the beginning of the intervention and at the end). Quantitative resident data will be retrieved from the RAI-NH three-monthly, and hospitalization data with the help of a data platform, reflection tools and hospital discharge reports continuously from the baseline period until the end of the data collection in 02.2020. The hypotheses of the project are:

  • To assess the effectiveness of the nurse-led care model on unplanned hospitalizations (primary outcome) and additional resident and staff outcomes, hypothesizing that nursing homes with a nurse-led care model have lower rates of unplanned hospitalizations and show improvements in additional resident and staff outcomes
  • To assess the effect of the degree of adoption on client outcomes, hypothesizing that a higher degree of adoption is related to better client outcomes
  • To describe the implementation costs the Swiss nurse-led interprofessional NH care model on the NH level and to assess the economic impact of INTERCARE with a cost-effectiveness analysis adopting a health care system perspective (comparing the increase in staff costs with the decrease of days of avoidable hospitalizations)
  • To explore resident/family and staff perceptions of service outcomes (e.g., timeliness) and the acceptability of the nurse-led care model;
  • To describe the degree to which the model was adopted, its feasibility, the fidelity with which it was applied, and the barriers and facilitators met by NH leadership and nurse experts.

详细描述

This multicentre study uses a mixed-methods approach to evaluate testing of a nurse-led care model intervention. Each of the 11 NHs participating in this study will recruit at least one registered nurse with at least three years' long-term care experience, which will undergo training to become a geriatric nurse expert. Training of the geriatric nurse experts will be delivered as a blended-learning approach, combining face to face (F2F) teaching and E-learning modules. The 8 modules will cover the following topics: 1. leadership, 2. communication, 3. comprehensive geriatric assessment, 4. geriatric syndromes, 5. chronic conditions, 6. acute conditions, 7. pharmacology in geriatrics and 8. quality improvement. Modules 1-3 and 8 will be delivered as 5 days of F2F teaching before the implementation start, followed by E-learnings, and 8 expert meetings to be continued throughout the intervention. The last meeting takes place in November 2019. Additionally, the practical training will be enhanced by individual supervision with an experienced nurse expert and/or geriatrician. Modules 4-7 will be delivered via E-learning modules. All modules will cover approximately 66h of F2F learning and 60 hours of E-learning, depending on the level of education and experience of each nurse. In total the geriatric nurse expert training should account for approximately 125 hours.

The registered nurse which will take on the role of geriatric nurse expert will either be recruited within the pool of nurses in each respective NH or recruited from the outside. The nurse-led care model will be built with core components, such as interprofessional collaboration, presence of a geriatric nurse expert, comprehensive geriatric assessment, advance care planning, guidance and coaching, data driven quality and evidence-based tools. Each NH will have to implement these core components along with implementing the role of geriatric nurse expert.

The intervention will be implemented and evaluated by means of a non-randomized quasi experimental stepped-wedge design, over a period of 21 months. The stepped wedge design allows inclusion of all NHs, thus does not exclude NHs from receiving the INTERCARE | Research plan Version 1.1/09.05. 2018 20/53 intervention. The "stepped" or "graded" unidirectional allocation to the intervention enables each NH to act as its own control. After a 3-month baseline phase, NHs will sequentially begin implementation of the nurse-led care model, which they will continue to use post-implementation. A get-in period of 1 month will be planned to address possible timing problems at the intervention start. Another advantage of the design is the graded start in the NHs facilitating delivery of the intervention, as each NH will discuss with the research team when they will receive the intervention. The first two NHs will start their baseline data collection in June 2018 and implement the intervention in September 2018, and every month thereafter, two other NHs will start with the intervention.

A non-randomized design was chosen to enable NHs to choose when they will start with the intervention, to allow for each NH to prepare accordingly for the implementation. Limitations of this study design might arise from its novelty. So far, no gold standard for data analysis has been established. In addition to this, non-randomization of the starting point of the intervention may imply that NHs were prepared for the intervention and this may be reflected in the results.

研究设计

研究类型
Interventional
分配方式
Non Randomized
干预模型
Sequential
主要目的
Health Services Research
盲法
None

入排标准

性别
All
接受健康志愿者

入选标准

  • Nursing homes
  • German-speaking
  • Size: ≥80 long-term care beds (NHs with >60 beds will be considered if they have a high hospitalisation rate)
  • Hospitalisation rates: ≥0.8/1000 resident days
  • All long-term care residents
  • Geriatric nurse experts:
  • Registered nurse
  • At least three years' experience in long-term care
  • Nursing home staff
  • Care workers of all educational levels, including students
  • Other health professionals employed by the NH (such as therapists, dieticians) with direct resident contact
  • Employed by the NH and working in the NH for a minimum of 3 months

排除标准

  • Nursing homes
  • Italian-speaking
  • French-speaking
  • Short term or day care residents, other residents with a discharge planned within two months after admittance

结局指标

主要结局

Number of all unplanned hospitalizations /1000 resident care days

时间窗: 21 months

Due to the complexity involved in the measurement of avoidable hospitalizations, we will follow experts' recommendation \[24\], tracking all unplanned hospital admissions as a primary endpoint. The primary endpoint will be calculated as number of unplanned hospitalisations per 1000 resident care days.

次要结局

  • Avoidable hospitalizations(21 months)
  • Resident quality indicators: Pain(21 months)
  • Resident quality indicators: physical restraints(21 months)
  • Resident quality indicators: Polypharmacy(21 months)
  • Avoidable emergency department (ED) visits(21 months)
  • Resident quality indicators: weight loss(21 months)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Michael Simon

Tenure Track Assistant Professor

University of Basel

研究点 (13)

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