Positive effect of the INTERCARE nurse-led model on reducing nursing home transfers: A nonrandomized stepped-wedge design

Implementation and evaluation of a nurse-led intervention to augment an existing residential aged care facility outreach service with a visual telehealth consultation: stepped-wedge cluster randomised controlled trial

BACKGROUND

Up to 75% of residents from residential aged care facilities (RACF) are transferred to emergency departments (ED) annually to access assessment and care for unplanned or acute health events. Emergency department presentations of RACF residents can be both expensive and risky, and many are unnecessary and preventable. Processes or triage systems to assess residents with a health event, prior to transfer, may reduce unnecessary ED transfer. The Aged Care Emergency (ACE) service is a nurse-led ED outreach service that provides telephone support to RACF nurses regarding residents' health events. This service is available Monday to Friday, 8am to 4 pm (ED ACE hours). The primary objective of this study was to assess whether the augmentation of the phone-based ED ACE service with the addition of a visual telehealth consultation (VTC) would reduce RACF rate of ED presentations compared to usual care. The secondary objectives were to 1) monitor presentations to ED within 48 h post VTC to detect any adverse events and 2) measure RACF staff perceptions of VTC useability and acceptability.

METHODS

This implementation study used a stepped wedge cluster randomised controlled trial design. Study settings were four public hospital EDs and 16 RACFs in two Local Health Districts. Each ED was linked to 4 RACFs with approximately 350 RACF beds, totalling 1435 beds across 16 participating RACFs. Facilities were randomised into eight clusters with each cluster comprising one ED and two RACFs.

RESULTS

A negative binomial regression demonstrated a 29% post-implementation reduction in the rate of ED presentations (per 100 RACF beds), within ED ACE hours (IRR [95% CI]: 0.71 [0.46, 1. 09]; p = 0.122). A 29% reduction, whilst not statistically significant, is still clinically important and impactful for residents and EDs. A post-hoc logistic regression demonstrated a statistically significant 69% reduction in the probability that an episode of care resulted in an ED presentation within ED ACE hours post-implementation compared to pre-implementation (OR [95% CI]: 0.31 [0.11, 0.87]; p = 0.025).

CONCLUSION

Findings have shown the positive impact of augmenting ACE with a VTC. Any reduction of resident presentations to a busy ED is beneficial to healthcare overall, but more so to the individual older person who can recover safely and comfortably in their own RACF.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry (ID ACTR N12619001692123) (02/12/2019) https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378629andisReview=true.

Reducing unplanned hospital admissions from care homes: a systematic review

Background

Care homes predominantly care for older people with complex health and care needs, who are at high risk of unplanned hospital admissions. While often necessary, such admissions can be distressing and provide an opportunity cost as well as a financial cost.

Objectives

Our objective was to update a 2014 evidence review of interventions to reduce unplanned admissions of care home residents. We carried out a systematic review of interventions used in the UK and other high-income countries by synthesising evidence of effects of these interventions on hospital admissions; feasibility and acceptability; costs and value for money; and factors affecting applicability of international evidence to UK settings.

Data sources

We searched the following databases in December 2021 for studies published since 2014: Cochrane Central Register of Controlled Trials and Cochrane Database of Systematic Reviews; Cumulative Index to Nursing and Allied Health Literature; Health Management Information Consortium; Medline; PsycINFO; Science and Social Sciences Citation Indexes; Social Care Online; and Social Service Abstracts. 'Grey' literature (January 2022) and citations were searched and reference lists were checked.

Methods

We included studies of any design reporting interventions delivered in care homes (with or without nursing) or hospitals to reduce unplanned hospital admissions. A taxonomy of interventions was developed from an initial scoping search. Outcomes of interest included measures of effect on unplanned admissions among care home residents; barriers/facilitators to implementation in a UK setting and acceptability to care home residents, their families and staff. Study selection, data extraction and risk of bias assessment were performed by two independent reviewers. We used published frameworks to extract data on intervention characteristics, implementation barriers/facilitators and applicability of international evidence. We performed a narrative synthesis grouped by intervention type and setting. Overall strength of evidence for admission reduction was assessed using a framework based on study design, study numbers and direction of effect.

Results

We included 124 publications/reports (30 from the UK). Integrated care and quality improvement programmes providing additional support to care homes (e.g. the English Care Homes Vanguard initiatives and hospital-based services in Australia) appeared to reduce unplanned admissions relative to usual care. Simpler training and staff development initiatives showed mixed results, as did interventions aimed at tackling specific problems (e.g. medication review). Advance care planning was key to the success of most quality improvement programmes but do-not-hospitalise orders were problematic. Qualitative research identified tensions affecting decision-making involving paramedics, care home staff and residents/family carers. The best way to reduce end-of-life admissions through access to palliative care was unclear in the face of inconsistent and generally low-quality evidence.

Conclusions

Effective implementation of interventions at various stages of residents' care pathways may reduce unplanned admissions. Most interventions are complex and require adaptation to local contexts. Work at the interface between health and social care is key to successful implementation.

Limitations

Much of the evidence identified was of low quality because of factors such as uncontrolled study designs and small sample size. Meta-analysis was not possible.

Future work

We identified a need for improved economic evidence and the evaluation of integrated care models of the type delivered by hospital-based teams. Researchers should carefully consider what is realistic in terms of study design and data collection given the current context of extreme pressure on care homes.

Study registration

This study is registered as PROSPERO database CRD42021289418.

Funding

This project was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (award number NIHR133884) and will be published in full in Health and Social Care Delivery Research; Vol. 11, No. 18. See the NIHR Journals Library website for further project information.

Factors associated with avoidable hospital transfers among residents in Swiss nursing homes

Unplanned hospitalizations from nursing homes (NHs) may be considered potentially avoidable and can result in adverse resident outcomes. There is little information about the relationship between a clinical assessment conducted by a physician or geriatric nurse expert before hospitalization and an ensuing rating of avoidability. This study aimed to describe characteristics of unplanned hospitalizations (admitted residents with at least one night stay, emergency department visits were excluded) and to examine this relationship. We conducted a cohort study in 11 Swiss NHs and retrospectively evaluated data from the root cause analysis of 230 unplanned hospitalizations. A telephone assessment by a physician (p=.043) and the need for further medical clarification and treatment (p=<0.001) were the principal factors related to ratings of avoidability. Geriatric nurse experts can support NH teams in acute situations and assess residents while adjudicating unplanned hospitalizations. Constant support for nurses expanding their clinical role is still warranted.

Using Palliative Leaders in Facilities to Transform Care for People with Alzheimer's Disease (UPLIFT-AD): protocol of a palliative care clinical trial in nursing homes

BACKGROUND

Palliative care is an effective model of care focused on maximizing quality of life and relieving the suffering of people with serious illnesses, including dementia. Evidence shows that many people receiving care in nursing homes are eligible for and would benefit from palliative care services. Yet, palliative care is not consistently available in nursing home settings. There is a need to test pragmatic strategies to implement palliative care programs in nursing homes.

METHODS/DESIGN

The UPLIFT-AD (Utilizing Palliative Leaders in Facilities to Transform care for people with Alzheimer's Disease) study is a pragmatic stepped wedge trial in 16 nursing homes in Maryland and Indiana, testing the effectiveness of the intervention while assessing its implementation. The proposed intervention is a palliative care program, including 1) training at least two facility staff as Palliative Care Leads, 2) training for all staff in general principles of palliative care, 3) structured screening for palliative care needs, and 4) on-site specialty palliative care consultations for a one-year intervention period. All residents with at least moderate cognitive impairment, present in the facility for at least 30 days, and not on hospice at baseline are considered eligible. Opt-out consent is obtained from legal decision-makers. Outcome assessments measuring symptoms and quality of care are obtained from staff and family proxy respondents at four time points: pre-implementation (baseline), six months after implementation, at 12 months (conclusion of implementation), and six months after the end of implementation. Palliative care attitudes and practices are assessed through surveys of frontline nursing home staff both pre- and post-implementation. Qualitative and quantitative implementation data, including fidelity assessments and interviews with Palliative Care Leads, are also collected. The study will follow the Declaration of Helsinki.

DISCUSSION

This trial assesses the implementation and effectiveness of a robust palliative care intervention for residents with moderate-to-advanced cognitive impairment in 16 diverse nursing homes. The intervention represents an innovative, pragmatic approach that includes both internal capacity-building of frontline nursing home staff, and support from external palliative care specialty consultants.

TRIAL REGISTRATION

The project is registered on ClinicalTrials.gov: NCT04520698.

Evaluating the implementation fidelity to a successful nurse-led model (INTERCARE) which reduced nursing home unplanned hospitalisations

BACKGROUND

Implementation fidelity assesses the degree to which an intervention is delivered as it should be. Fidelity helps to determine if the outcome(s) of an intervention are attributed to the intervention itself or to a failure of its implementation. Little is known about how fidelity impacts the intended outcome(s) and what elements or moderators can affect the fidelity trajectory over time. We exemplify the meaning of implementation fidelity with INTERCARE, a nurse-led care model that was implemented in eleven Swiss nursing homes (NHs) and showed effectiveness in reducing unplanned hospital transfers. INTERCARE comprises six core elements, including advance care planning and tools to support inter- and interprofessional communication, which were introduced with carefully developed implementation strategies.

METHODS

A mixed-methods convergent/triangulation design was used to investigate the influence of implementation fidelity on unplanned transfers. A fidelity questionnaire measuring the degree of fidelity to INTERCARE's core components was fielded at four time points in the participating NHs. Two-monthly meetings were conducted with NHs (September 2018-January 2020) and structured notes were used to determine moderators affecting fidelity (e.g., participant responsiveness). We used the fidelity scores and generalized linear mixed models to analyze the quantitative data. The Framework method was used for the qualitative analysis. The quantitative and qualitative findings were integrated using triangulation.

RESULTS

A higher overall fidelity score showed a decreasing rate of unplanned hospital transfers post-intervention (OR: 0.65 (CI = 0.43-0.99), p = 0.047). A higher fidelity score to advance care planning was associated with lower unplanned transfers (OR = 0.24 (CI 0.13-0.44), p = < 0.001) and a lower fidelity score for communication tools (e.g., ISBAR) to higher rates in unplanned transfers (OR = 1.69 (CI 1.30-2.19), p = < 0.003). In-house physicians with a collaborative approach and staff's perceived need for nurses working in extended roles, were important moderators to achieve and sustain high fidelity.

CONCLUSION

Implementation fidelity is challenging to measure and report, especially in complex interventions, yet is crucial to better understand how such interventions may be tailored for scale-up. This study provides both a detailed description of how fidelity can be measured and which ingredients highly contributed to reducing unplanned NH transfers.

TRIAL REGISTRATION

The INTERCARE study was registered at clinicaltrials.gov Protocol Record NCT03590470.

Health economic evaluation of a nurse-led care model from the nursing home perspective focusing on residents' hospitalisations

BACKGROUND

Health economic evaluations of the implementation of evidence-based interventions (EBIs) into practice provide vital information but are rarely conducted. We evaluated the health economic impact associated with implementation and intervention of the INTERCARE model-an EBI to reduce hospitalisations of nursing home (NH) residents-compared to usual NH care.

METHODS

The INTERCARE model was conducted in 11 NHs in Switzerland. It was implemented as a hybrid type 2 effectiveness-implementation study with a multi-centre non-randomised stepped-wedge design. To isolate the implementation strategies' costs, time and other resources from the NHs' perspective, we applied time-driven activity-based costing. To define its intervention costs, time and other resources, we considered intervention-relevant expenditures, particularly the work of the INTERCARE nurse-a core INTERCARE element. Further, the costs and revenues from the hotel and nursing services were analysed to calculate the NHs' losses and savings per resident hospitalisation. Finally, alongside our cost-effectiveness analysis (CEA), a sensitivity analysis focused on the intervention's effectiveness-i.e., regarding reduction of the hospitalisation rate-relative to the INTERCARE costs. All economic variables and CEA were assessed from the NHs' perspective.

RESULTS

Implementation strategy costs and time consumption per bed averaged 685CHF and 9.35 h respectively, with possibilities to adjust material and human resources to each NH's needs. Average yearly intervention costs for the INTERCARE nurse salary per bed were 939CHF with an average of 1.4 INTERCARE nurses per 100 beds and an average employment rate of 76% of full-time equivalent per nurse. Resident hospitalisation represented a total average loss of 52% of NH revenues, but negligible cost savings. The incremental cost-effectiveness ratio of the INTERCARE model compared to usual care was 22'595CHF per avoided hospitalisation. As expected, the most influential sensitivity analysis variable regarding the CEA was the pre- to post-INTERCARE change in hospitalisation rate.

CONCLUSIONS

As initial health-economic evidence, these results indicate that the INTERCARE model was more costly but also more effective compared to usual care in participating Swiss German NHs. Further implementation and evaluation of this model in randomised controlled studies are planned to build stronger evidential support for its clinical and economic effectiveness.

TRIAL REGISTRATION

clinicaltrials.gov ( NCT03590470 ).

Nursing home-sensitive conditions: analysis of routine health insurance data and modified Delphi analysis of potentially avoidable hospitalizations

Background: Hospitalizations of nursing home residents are associated with various health risks. Previous research indicates that, to some extent, hospitalizations of this vulnerable population may be inappropriate and even avoidable. This study aimed to develop a consensus list of hospital discharge diagnoses considered to be nursing home-sensitive, i.e., avoidable. Methods: The study combined analyses of routine data from six statutory health insurance companies in Germany and a two-stage Delphi panel, enhanced by expert workshop discussions, to identify and corroborate relevant diagnoses. Experts from four different disciplines estimated the proportion of hospitalizations that could potentially have been prevented under optimal conditions.   Results: We analyzed frequencies and costs of data for hospital admissions from 242,236 nursing home residents provided by statutory health insurance companies. We identified 117 hospital discharge diagnoses, which had a frequency of at least 0.1%. We recruited experts (primary care physicians, hospital specialists, nursing home professionals and researchers) to estimate the proportion of potentially avoidable hospitalizations for the 117 diagnoses deemed avoidable in two Delphi rounds (n=107 in Delphi Round 1 and n=96 in Delphi Round 2, effective response rate=91%). A total of 35 diagnoses with high and consistent estimates of the proportion of potentially avoidable hospitalizations were identified as nursing home-sensitive. In an expert workshop (n=16), a further 25 diagnoses were discussed that had not reached the criteria, of which another 23 were consented to be nursing home-sensitive conditions. Extrapolating the frequency and mean costs of these 58 diagnoses to the national German context yielded total potentially avoidable care costs of €768,304,547, associated with 219,955 nursing home-sensitive hospital admissions. Conclusion: A total of 58 nursing home-relevant diagnoses (ICD-10-GM three-digit level) were classified as nursing home-sensitive using an adapted Delphi procedure. Interventions should be developed to avoid hospital admission from nursing homes for these diagnoses.

Implementation of a complex intervention to reduce hospitalizations from nursing homes: a mixed-method evaluation of implementation processes and outcomes

Background | objective

To evaluate the implementation of three intervention elements to reduce hospitalizations in nursing home residents.

Design

Convergent mixed-method design within a hybrid type-2 effectiveness-implementation study.

Setting

Eleven nursing homes in the German-speaking region of Switzerland.

Participants

Quantitative data were collected from 573 care workers; qualitative data were collected from 108 care workers and the leadership from 11 nursing homes.

Intervention

Three intervention elements targeting care workers were implemented to reduce unplanned hospitalizations: (1) the STOP&WATCH instrument for early recognition of changes in resident condition; (2) the ISBAR instrument for structured communication; and (3) specially-trained INTERCARE nurses providing on-site geriatric support. Multifaceted implementation strategies focusing both on the overall nursing home organization and on the care workers were used.

Methods

The quantitative part comprised surveys of care workers six- and twelve-months post-intervention. The intervention’s acceptability, feasibility and uptake were assessed using validated and self-developed scales.

Qualitative data were collected in 22 focus groups with care workers, then analyzed using thematic analysis methodology. Data on implementation processes were collected during implementation meetings with nursing home leadership and were analyzed via content analysis. Findings were integrated using a complementary approach.

Results

The ISBAR instrument and the INTERCARE nurse role were considered acceptable, feasible, and taken up by > 70% of care workers. The STOP&WATCH instrument showed the lowest acceptance (mean: 68%), ranging from 24 to 100% across eleven nursing homes. A combination of factors, including the amount of information received, the amount of support provided in daily practice, the users’ perceived ease of using the intervention and its adaptations, and the intervention’s usefulness, appeared to influence the implementation’s success. Two exemplary nursing homes illustrated context-specific implementation processes that serve as either barriers or facilitators to implementation.

Conclusions

Our findings suggest that, alongside the provision of information shortly before intervention start, constant daily support is crucial for implementation success. Ideally, this support is provided by designated and trained individuals who oversee implementation at the organizational and unit levels. Leaders who seek to implement interventions in nursing homes should consider their complexity and their consequences for workflow to optimize implementation processes accordingly.

Trial registration

This study was registered at clinicaltrials.gov (NCT03590470) on the 18/06/2018.

Nursing home-sensitive conditions: analysis of routine health insurance data and modified Delphi analysis of potentially avoidable hospitalizations

Background: Hospitalizations of nursing home residents are associated with various health risks. Previous research indicates that, to some extent, hospitalizations of this vulnerable population may be inappropriate and even avoidable. This study aimed to develop a consensus list of hospital discharge diagnoses considered to be nursing home-sensitive, i.e., avoidable. Methods: The study combined analyses of routine data from six statutory health insurance companies in Germany and a two-stage Delphi panel, enhanced by expert workshop discussions, to identify and corroborate relevant diagnoses. Experts from four different disciplines estimated the proportion of hospitalizations that could potentially have been prevented under optimal conditions.  Results: We analyzed frequencies and costs of data for hospital admissions from 242,236 nursing home residents provided by statutory health insurance companies. We identified 117 hospital discharge diagnoses, which had a frequency of at least 0.1%. We recruited experts (primary care physicians, hospital specialists, nursing home professionals and researchers) to estimate the proportion of potentially avoidable hospitalizations for the 117 diagnoses deemed avoidable in two Delphi rounds (n=107 in Delphi Round 1 and n=96 in Delphi Round 2, effective response rate=91%). A total of 35 diagnoses with high and consistent estimates of the proportion of potentially avoidable hospitalizations were identified as nursing home-sensitive. In an expert workshop (n=16), a further 25 diagnoses were discussed that had not reached the criteria, of which another 23 were consented to be nursing home-sensitive conditions. Extrapolating the frequency and mean costs of these 58 diagnoses to the national German context yielded total potentially avoidable care costs of €768,304,547, associated with 219,955 nursing home-sensitive hospital admissions. Conclusion: A total of 58 nursing home-relevant diagnoses (ICD-10-GM three-digit level) were classified as nursing home-sensitive using an adapted Delphi procedure. Interventions should be developed to avoid hospital admission from nursing homes for these diagnoses.