Nurse-led Care Models in Swiss Nursing Homes: Improving Interprofessional Care for Better Resident Outcomes (INTERCARE) (INTERCARE)

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

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.

Study Overview

• Status: Completed
• Conditions: Hospitalisations
• Intervention / Treatment: Other: Implementation of a nurse-led model of care

Detailed Description

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.

• Study Type: Interventional
• Enrollment (Actual): 944
• Phase: Not Applicable

Contacts and Locations

Study Locations

• Switzerland
  • Arlesheim, Switzerland, 4144
    • Obesunne
  • Basel, Switzerland, 4057
    • St Christophorus
  • Basel, Switzerland
    • Marienhaus
  • Bern, Switzerland, 3018
    • Domicil schwabgut
  • Burgdorf, Switzerland, 3400
    • Zentrum Schlossmat
  • Luzern, Switzerland, 6003
    • Viva Luzern
  • Niederwil, Switzerland, 5524
    • Reusspark

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Child; Adult; Older Adult
• Accepts Healthy Volunteers: No
• Genders Eligible for Study: All

Description

Inclusion Criteria:

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

Residents

- 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

Exclusion Criteria:

Nursing homes

• Italian-speaking
• French-speaking

Residents

- Short term or day care residents, other residents with a discharge planned within two months after admittance

Study Plan

How is the study designed?

Design Details

• Primary Purpose: Health Services Research
• Allocation: Non-Randomized
• Interventional Model: Sequential Assignment
• Masking: None (Open Label)

Number of Arms

2

Arms and Interventions

Participant Group / Arm	Intervention / Treatment
Experimental: Experimental_INTERCARE intervention; Implementation of a nurse-led model of care adapted to the Swiss context, comprising a geriatric nurse expert with specific training in multidimensional clinical assessment and quality improvement tools.	Other: Implementation of a nurse-led model of care; A nurse-model of care consisting of a specifically trained geriatric nurse expert, communication and quality improvement tools will be implemented in 11 nursing homes in the German speaking part of Switzerland
No Intervention: Control; The design used for the INTERCARE intervention is a non-randomized stepped wedge design, therefore all nursing homes will receive the intervention but at different time points. All nursing homes will be in a control phase before receiving the intervention, and switch to the intervention phase, once the intervention is implemented.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Number of all unplanned hospitalizations /1000 resident care days	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.	21 months

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Avoidable hospitalizations	Number of hospitalizations for ambulatory care sensitive conditions (ACSC). ACSCs will be assessed via the residents' hospital discharge report.	21 months
Avoidable emergency department (ED) visits	Number of avoidable ED visits per 1000 care days	21 months
Resident quality indicators: Pain	National quality indicators such as pain are collected by means of the Resident assessment Instrument for nursing homes in routine practice, and are collected independently of the study. The quality indicator "pain" will be measured by: % of residents with self-reported pain; % of residents with observed pain (i.e. daily pain of moderate intensity or non-daily pain of severe intensity)	21 months
Resident quality indicators: physical restraints	National quality indicators such as physical restraints are collected by means of the Resident assessment Instrument for nursing homes in routine practice, and are collected independently of the study. The quality indicator "physical restraint" will be measured by: % of residents with daily fixation of the trunk or seating that does not allow standing during the preceding 7 days, or with daily use of bedrails over the preceding 7 days	21 months
Resident quality indicators: Polypharmacy	National quality indicators such as polypharmacy are collected by means of the Resident assessment Instrument for nursing homes in routine practice, and are collected independently of the study. The quality indicator "polypharmacy" will be measured by: % of residents receiving 9 or more medications (active components) over the preceding 7 days	21 months
Resident quality indicators: weight loss	National quality indicators such as weight loss are collected by means of the Resident assessment Instrument for nursing homes in routine practice, and are collected independently of the study. The quality indicator "weight loss" will be measured by: % of residents with weight loss of 5% or more during the preceding 30 days, or of 10% or more in the preceding 180 days.	21 months

Collaborators and Investigators

• Sponsor: University of Basel
• Collaborators: KU Leuven; University Hospital Inselspital, Berne; Swiss National Science Foundation; University of Applied Sciences and Arts of Southern Switzerland; University Department of Geriatric Medicine FELIX PLATTER; Hôpital ophtalmique Jules-Gonin (HOJG); Serdaly & Ankers, Switzerland; Vaud state public health department; stiftung pflegewissenchaft
• Investigators: Principal Investigator: Michael Simon, PhD, Institut für Pflegewissenschaft Fakultät für Medizin, Universität Basel Bernoullistrasse 28, Raum 107 CH-4056 Basel

Publications and helpful links

General Publications

• Bartakova J, Zuniga F, Guerbaai RA, Basinska K, Brunkert T, Simon M, Denhaerynck K, De Geest S, Wellens NIH, Serdaly C, Kressig RW, Zeller A, Popejoy LL, Nicca D, Desmedt M, De Pietro C. Health economic evaluation of a nurse-led care model from the nursing home perspective focusing on residents' hospitalisations. BMC Geriatr. 2022 Jun 9;22(1):496. doi: 10.1186/s12877-022-03182-5.
• Basinska K, Zuniga F, Simon M, De Geest S, Guerbaai RA, Wellens NIH, Nicca D, Brunkert T. Implementation of a complex intervention to reduce hospitalizations from nursing homes: a mixed-method evaluation of implementation processes and outcomes. BMC Geriatr. 2022 Mar 12;22(1):196. doi: 10.1186/s12877-022-02878-y.

Study record dates

Study Major Dates

• Study Start (Actual): June 20, 2018
• Primary Completion (Actual): February 28, 2020
• Study Completion (Actual): June 1, 2020

Study Registration Dates

• First Submitted: June 10, 2018
• First Submitted That Met QC Criteria: July 5, 2018
• First Posted (Actual): July 18, 2018

Study Record Updates

• Last Update Posted (Actual): November 13, 2020
• Last Update Submitted That Met QC Criteria: November 12, 2020
• Last Verified: November 1, 2020

More Information

Terms related to this study

• Keywords: quality of care; implementation science; quality improvement; nursing homes; avoidable hospitalisations
• Other Study ID Numbers: EKNZ2018-00501

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: No

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No