Heart Failure Management in Nursing Homes: A Scoping Literature Review

Prognosis of acute heart failure in patients followed up in nursing homes in Spain: Results from the RICA registry

BACKGROUND

Patients with chronic diseases such as heart failure (HF) are at risk of hospital admission. We evaluated the impact of living in nursing homes (NH) on readmissions and all-cause mortality of HF patients during a one-year follow up.

METHODS

An observational and multicenter study from the Spanish National Registry of Heart Failure (RICA) was performed. We compared clinical and prognostic characteristics between both groups. Bivariate analyses were performed using Student's t-test and Tukey's method and a Kaplan-Meier survival at one-year follow up. A multivariate proportional hazards analysis of [Cox] regression by the conditional backward method was conducted for the variables being statistically significant related to the probability of death in the univariate.

RESULTS

There were 5644 patients included, 462 (8.2%) of whom were nursing home residents. There were 52.7% women and mean age was 79.7±8.8 years. NH residents had lower Barthel (74.07), Charlson (3.27), and Pfeiffer index (2.2), p<0.001). Mean pro-BNP was 6686pg/ml without statistical significance differences between groups. After 1-year follow-up, crude analysis showed no differences in readmissions 74.7% vs. 72.3%, p=0.292, or mortality 63.9% vs. 61.1%, p=0.239 between groups. However, after controlling for confounding variables, NH residents had a higher 1-year all-cause mortality (HR 1.153; 95% CI 1.011-1.317; p=0.034). Kaplan-Meier analysis showed worse survival in nursing home residents (log-rank of 7.12, p=0.008).

CONCLUSIONS

Nursing home residents with heart failure showed higher one-year mortality which could be due to worse functional status, higher comorbidity, and cognitive deterioration.

Heart Failure Nurses within the Primary Care Setting

Cardiology services within primary care often focus on disease prevention, early identification of illness and prompt referral for diagnosis and specialist treatment. Due to advances in pharmaceuticals, implantable cardiac devices and surgical interventions, individuals with heart failure are living longer, which can place a significant strain on global healthcare resources. Heart failure nurses in a primary care setting offer a wealth of clinical knowledge and expertise across all phases of the heart failure trajectory and are able to support patients, family members and other community services, including general practitioners. This review examines the recently published evidence on the current and potential future practice of heart failure nurses within primary care.

Cardio-Oncology: Managing Cardiovascular Complications of Cancer Therapies

This narrative review explores the complex relationship between cancer medicines and cardiovascular health in the junction of oncology and cardiology, known as cardio-oncology. The study examines the historical development of cancer treatments and highlights the growing importance of cardiovascular problems in patient care. This text delves into the topic of cardiotoxicity, examining both conventional chemotherapeutic drugs like anthracyclines and more recent tyrosine kinase and immune checkpoint inhibitors. The complex molecular and cellular mechanisms that control cardiovascular problems are explained, including an understanding of how genetic predisposition influences an individual's sensitivity. The narrative expands into the crucial realm of risk stratification and evaluation, revealing advanced instruments for identifying cardiovascular risk in cancer patients. The importance of non-invasive imaging methods and biomarkers in early detection and continuous monitoring is emphasized. The prioritization of preventive tactics emphasizes the need to take proactive measures incorporating therapies to protect the heart throughout cancer treatment. It also highlights the significance of making lifestyle improvements to reduce risk factors. The narrative emphasizes the changing collaborative treatment environment, advocating for merging oncologists and cardiologists in a coordinated endeavor to maximize patient outcomes. In addition to clinical factors, the review explores the critical domain of patient education and support, acknowledging its crucial role in promoting informed decision-making and improving overall patient well-being. The latter portions of the text anticipate and consider upcoming treatments and existing research efforts that offer the potential for the future of cardio-oncology. This review seeks to provide a detailed viewpoint on the intricate connection between cancer treatments and cardiovascular well-being. Its objective is to encourage a more profound comprehension of the subject and prompt careful contemplation regarding the comprehensive care of cancer patients who confront the intricate difficulties presented by their treatment plans.

Advancements in Heart Failure Management: A Comprehensive Narrative Review of Emerging Therapies

Heart failure is a substantial and escalating global health challenge, affecting millions worldwide. This complex syndrome arises from diverse etiologies, encompassing ischemic heart disease, hypertension, valvular abnormalities, and cardiomyopathies. Heart failure is characterized by the heart's inability to pump blood efficiently to meet the body's metabolic demands, leading to debilitating symptoms, frequent hospitalizations, and high mortality rates. Traditionally, the management of Heart failure has focused on alleviating symptoms, reducing fluid retention, and enhancing cardiac contractility. These goals have been achieved through a combination of pharmacological therapies such as angiotensin-converting enzyme inhibitors, beta-blockers, and diuretics, often complemented by device-based interventions like implantable cardioverter-defibrillators and cardiac resynchronization therapy. However, despite these advances, the relentless progression of heart failure remains a significant clinical challenge. Neurohormonal activation, cardiac fibrosis, and cellular remodeling are just a few of the intricate processes contributing to the disease's progression. In recent years, researchers and clinicians have embarked on a quest to identify novel therapeutic approaches that address these underlying mechanisms. One such avenue of exploration involves the revolutionary field of gene therapy, with promising gene-editing techniques, such as CRISPR-Cas9, offering potential routes for correcting genetic mutations that contribute to heart failure. Additionally, regenerative medicine approaches, including stem cell therapy and tissue engineering, hold significant promise for repairing damaged cardiac tissue and restoring function. Furthermore, precision medicine initiatives have gained traction, aiming to tailor heart failure therapies to individual patient profiles, taking into account genetics, biomarkers, and comorbidities. Integrating artificial intelligence and machine learning in heart failure management has also enabled the development of predictive models for early intervention, risk stratification, and personalized treatment recommendations. This narrative review navigates the intricate landscape of emerging therapies for heart failure, emphasizing their potential to revolutionize the field by targeting the disease's fundamental mechanisms. By exploring these innovative approaches, we aspire to provide a comprehensive perspective on the evolving paradigm of heart failure management, fostering a hopeful outlook for patients and clinicians alike.

Optimising quality of life for people living with heart failure in care homes: Protocol for the co-design and feasibility testing of a digital intervention

BACKGROUND

Heart failure (HF) affects up to 64.3 million people globally. Advancements in pharmaceutical, device or surgical therapies, have led to patients living longer with HF. Heart failure affects 20% of care home residents, with these individuals presenting as older, frailer, and with more complex needs compared to those living at home. Thus, improving care home staff (e.g., registered nurse and care assistant) knowledge of HF has the potential to benefit patient care and reduce acute care utilization. Our aim is to co-design, and feasibility test, a digital intervention to improve care home staff knowledge of HF and optimise quality of life for those living with the condition in long-term residential care.

METHODS

Using a logic model, three workstreams have been identified. Workstream 1 (WS1), comprised of three steps, will inform the 'inputs' of the model. First, qualitative interviews (n = 20) will be conducted with care home staff to identify facilitators and barriers in the provision of care to people with HF. Concurrently, a scoping review will be undertaken to synthesise current evidence of HF interventions within care homes. The last step will involve a Delphi study with 50-70 key stakeholders (for example care home staff, people with HF and their family and friends) to determine key education priorities related to HF. Using data from WS1, a digital intervention to improve care home staff knowledge and self-efficacy of HF will be co-designed in workstream 2 (WS2) alongside those living with HF or their carers, HF professionals, and care home staff. Lastly, workstream 3 (WS3) will involve mixed-methods feasibility testing of the digital intervention. Outcomes include staff knowledge on HF and self-efficacy in caring for HF residents, intervention usability, perceived benefits of the digital intervention on quality of life for care home residents, and care staff experience of implementing the intervention.

DISCUSSION

As HF affects many care home residents, it is vital that care home staff are equipped to support people living with HF in these settings. With limited interventional research in this area, it is envisaged that the resulting digital intervention will have relevance for HF resident care both nationally and internationally.

An evidence map of systematic reviews on models of outpatient care for patients with chronic heart diseases

BACKGROUND

Chronic heart disease affects millions of people worldwide and the prevalence is increasing. By now, there is an extensive literature on outpatient care of people with chronic heart disease. We aimed to systematically identify and map models of outpatient care for people with chronic heart disease in terms of the interventions included and the outcomes measured and reported to determine areas in need of further research.

METHODS

We created an evidence map of published systematic reviews. PubMed, Cochrane Library (Wiley), Web of Science, and Scopus were searched to identify all relevant articles from January 2000 to June 2021 published in English or German language. From each included systematic review, we abstracted search dates, number and type of included studies, objectives, populations, interventions, and outcomes. Models of care were categorised into six approaches: cardiac rehabilitation, chronic disease management, home-based care, outpatient clinic, telemedicine, and transitional care. Intervention categories were developed inductively. Outcomes were mapped onto the taxonomy developed by the COMET initiative.

RESULTS

The systematic literature search identified 8043 potentially relevant publications on models of outpatient care for patients with chronic heart diseases. Finally, 47 systematic reviews met the inclusion criteria, covering 1206 primary studies (including double counting). We identified six different models of care and described which interventions were used and what outcomes were included to measure their effectiveness. Education-related and telemedicine interventions were described in more than 50% of the models of outpatient care. The most frequently used outcome domains were death and life impact.

CONCLUSION

Evidence on outpatient care for people with chronic heart diseases is broad. However, comparability is limited due to differences in interventions and outcome measures. Outpatient care for people with coronary heart disease and atrial fibrillation is a less well-studied area compared to heart failure. Our evidence mapping demonstrates the need for a core outcome set and further studies to examine the effects of models of outpatient care or different interventions with adjusted outcome parameters.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO (CRD42020166330).

Specialty care after transition to long-term care in nursing home

BACKGROUND

Nursing home residents face many barriers to accessing specialist physician outpatient care. However, little data exists on how specialty care use changes when individuals transition to a nursing home in the US.

METHODS

We studied specialist outpatient visits for new long-term care (LTC) residents within 1 year before and after their transition to nursing home residence using the Minimum Data Set v3.0 (MDS) and a 20% sample of Medicare fee-for-service claims in 2014-2018. To focus on residents requiring specialty care at baseline, we limited the cohort to residents with specialty care in the 13-24 months before LTC transition. We then measured the proportion of residents receiving at least one visit in the 12 months before the transition and the 12 months after the transition. We also examined subgroups of residents with a prior diagnosis likely requiring long-term specialty care (e.g., multiple sclerosis). Finally, we examined whether there was continuity of care within the same specialty care provider.

RESULTS

Among 39,288 new LTC transitions identified in 2016-2017, 17,877 (45.5%) residents had a prior specialist visit 13-24 months before the transition. Among them, the proportion of residents with specialty visits decreased consistently in all specialties in the 12 months after the transition, ranging from a relative decrease of 14.4% for orthopedics to 67.9% for psychiatry. The relative decrease among patients with a diagnosis likely requiring specialty care ranged from 0.9% for neurology in patients with multiple sclerosis to 67.1% for psychiatry in patients with severe mental illness. Among residents who continued visiting a specialist, 78.9% saw the same provider as before the transition.

CONCLUSIONS

The use of specialty care falls significantly after patients transition to a nursing home. Further research is needed to understand what drives this drop in use and whether interventions, such as telemedicine can ameliorate potential barriers to specialty care.

Challenges in Heart Failure Disease Management in Skilled Nursing Facilities: A Qualitative Study

Clinical guidelines recommend clinicians in skilled nursing facilities (SNFs) monitor body weight and signs and symptoms related to heart failure (HF) and encourage a sodium restricted diet to improve HF outcomes; however, SNFs face considerable challenges in HF disease management (HF-DM). In the current study, we characterized the challenges of HF-DM with data from semi-structured, in-depth interviews with patients, caregivers, staff, and physicians from nine SNFs. Patients receiving skilled nursing care were interviewed together as a dyad with their caregiver. A data-driven, qualitative descriptive approach was used to understand the process and challenges of HF-DM. Coded text was categorized into descriptive themes. Interviews with five dyads (n = 10 individuals), SNF nurses and certified nursing assistants (n = 13), and physicians (n = 2) revealed that, among the sample, HF care was not prioritized above other competing health concerns. Staff operated in the challenging SNF environment largely without protocols or educational materials to prompt HF-DM. [Journal of Gerontological Nursing, 48(5), 13-17.].

Optimisation of Heart Failure Management in Nursing Homes Using Point-of-Care Ultrasonography: Harmonious Trial Rationale and Design

Introduction

Heart failure is common in the nursing home population and presents many diagnostic and therapeutic challenges. Point-of-care ultrasonography is a bedside method that can be used to assess volume status more reliably than clinical examination. This trial was conceived to test whether point-of-care ultrasonography-guided management improves heart failure outcomes among nursing home residents.

Methods

Nursing home residents with heart failure will be enrolled in a multi-centre, prospective, randomised controlled trial. Residents will first be screened for heart failure. Patients with heart failure will be randomised in 1:1 fashion into two groups. Nursing home physicians will adjust diuretic therapy according to volume status for six months. Point-of-care ultrasonography will be used in the test group and clinical examination in the control group. The primary endpoint will be heart failure deterioration, defined as a composite of any of the following four events: the need for an intravenous diuretic application, the need for an emergency service intervention, the need for unplanned hospitalisation for non-injury causes, or death from whatever cause.

Expected results

The expected prevalence of heart failure among nursing home residents is above 10%. Point-of-care ultrasonography-guided heart failure management will reduce the number of deteriorations of heart failure in the nursing home population.

Conclusion

This study will explore the usefulness of point-of-care ultrasonography for heart failure management in the nursing home population.

Risk of Readmission After Discharge From Skilled Nursing Facilities Following Heart Failure Hospitalization: A Retrospective Cohort Study

OBJECTIVE

Discharge to skilled nursing facilities (SNFs) is common in patients with heart failure (HF). It is unknown whether the transition from SNF to home is risky for these patients. Our objective was to study outcomes for the 30 days after discharge from SNF to home among Medicare patients hospitalized with HF who had subsequent SNF stays of 30 days or less.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

All Medicare fee-for-service beneficiaries 65 and older admitted during 2012-2015 with a HF diagnosis discharged to SNF then subsequently discharged home.

MEASURES

Patients were followed for 30 days following SNF discharge. We categorized patients by SNF length of stay: 1 to 6 days, 7 to 13 days, and 14 to 30 days. For each group, we modeled time to a composite outcome of unplanned readmission or death after SNF discharge. Our model examined 0-2 days and 3-30 days post-SNF discharge.

RESULTS

Our study included 67,585 HF hospitalizations discharged to SNF and subsequently discharged home. Overall, 16,333 (24.2%) SNF discharges to home were readmitted within 30 days of SNF discharge. The hazard rate of the composite outcome for each group was significantly increased on days 0 to 2 after SNF discharge compared to days 3 to 30, as reflected in their hazard rate ratios: for patients with SNF length of stay 1 to 6 days, 4.60 (4.23-5.00); SNF length of stay 7 to 13 days, 2.61 (2.45-2.78); SNF length of stay 14 to 30 days, 1.70 (1.62-1.78).

CONCLUSIONS/IMPLICATIONS

The hazard rate of readmission after SNF discharge following HF hospitalization is highest during the first 2 days home. This risk attenuated with longer SNF length of stay. Interventions to improve postdischarge outcomes have primarily focused on hospital discharge. This evidence suggests that interventions to reduce readmissions may be more effective if they also incorporate the SNF-to-home transition.

Modelling resource requirements and physician staffing to provide virtual urgent medical care for residents of long-term care homes: a cross-sectional study

BACKGROUND

The coronavirus disease 2019 (COVID-19) outbreak increases the importance of strategies to enhance urgent medical care delivery in long-term care (LTC) facilities that could potentially reduce transfers to emergency departments. The study objective was to model resource requirements to deliver virtual urgent medical care in LTC facilities.

METHODS

We used data from all general medicine inpatient admissions at 7 hospitals in the Greater Toronto Area, Ontario, Canada, over a 7.5-year period (Apr. 1, 2010, to Oct. 31, 2017) to estimate historical patterns of hospital resource use by LTC residents. We estimated an upper bound of potentially avoidable transfers by combining data on short admissions (≤ 72 h) with historical data on the proportion of transfers from LTC facilities for which patients were discharged from the emergency department without admission. Regression models were used to extrapolate future resource requirements, and queuing models were used to estimate physician staffing requirements to perform virtual assessments.

RESULTS

There were 235 375 admissions to general medicine wards, and residents of LTC facilities (age 16 yr or older) accounted for 9.3% (n = 21 948) of these admissions. Among the admissions of residents of LTC facilities, short admissions constituted 24.1% (n = 5297), and for 99.8% (n = 5284) of these admissions, the patient received laboratory testing, for 86.9% (n = 4604) the patient received plain radiography, for 41.5% (n = 2197) the patient received computed tomography and for 81.2% (n = 4300) the patient received intravenous medications. If all patients who have short admissions and are transferred from the emergency department were diverted to outpatient care, the average weekly demand for outpatient imaging per hospital would be 2.6 ultrasounds, 11.9 computed tomographic scans and 23.9 radiographs per week. The average daily volume of urgent medical virtual assessments would range from 2.0 to 5.8 per hospital. A single centralized virtual assessment centre staffed by 2 or 3 physicians would provide services similar in efficiency (measured by waiting time for physician assessment) to 7 separate centres staffed by 1 physician each.

INTERPRETATION

The provision of acute medical care to LTC residents at their facility would probably require rapid access to outpatient diagnostic imaging, within-facility access to laboratory services and intravenous medication and virtual consultations with physicians. The results of this study can inform efforts to deliver urgent medical care in LTC facilities in light of a potential surge in COVID-19 cases.

Natriuretic peptides for heart failure screening in nursing homes: a systematic review

The high burden of heart failure in nursing-home populations is due to advanced age and comorbidities. Heart failure is often undiagnosed or misdiagnosed in this population and therefore remains untreated. We review the use of natriuretic peptide biomarkers for screening heart failure in nursing-home residents. The study was performed in accordance with recommendations from the Cochrane Collaboration using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement (PRISMA) and is registered in PROSPERO Register of Systematic Reviews. Databases PubMed, Embase, and Trip were searched from 2000 to March 2019, supplemented by hand-searching of references. Studies investigating the nursing-home population were included. The prevalence of heart failure among nursing-home residents was higher than in the general population of comparable age (23% vs 10%, respectively). The rate of misdiagnosis in nursing homes ranged from 25 to 76%. NT-proBNP was the most commonly used natriuretic peptide biomarker for heart failure screening. The mean value of NT-proBNP was significantly higher in residents with heart failure than in residents overall (pooled means of 2409 pg/mL vs 1074 pg/mL, respectively). In comparison with current guidelines, the proposed cut-off values for ruling out heart failure were higher in the analyzed studies, with ranges of 230-760 pg/mL for NT-proBNP and 50-115 pg/mL for BNP. NT-proBNP and BNP are used for screening heart failure in the nursing-home population. The current screening cut-off values are probably too low for use in nursing homes. Our most conservative estimation for ruling out heart failure is an NT-proBNP cut-off value of 230 pg/mL.

Risk of Hospitalization in Long-Term Care Residents Living with Heart Failure: a Retrospective Cohort Study

BACKGROUND

Older adults living with heart failure (HF) in long-term care (LTC) experience frequent hospitalization. Using routinely available clinical information, we examined resident-level factors that precipitate hospitalization within 90 days of admission to LTC.

METHODS

This was a retrospective cohort study of older adults diagnosed with HF, who were admitted to LTC in Ontario, Canada, between 2011 and 2013. Multivariate logistic regression models using generalized estimating equations were developed to determine predictors of hospitalization in residents with HF.

RESULTS

Entry to LTC from a hospital was the strongest predictor of future hospitalization (OR: 8.1, 95% CI: 7.1-9.3), followed by a score of three or greater on the Changes in Health, End-stage Signs and Symptoms scale, a measure of moderate to severe medical instability (O.R 4.2, 95% CI: 3.1-5.9). Other variables that increased the likelihood of hospitalization included being flagged as a high risk for falls, two or more physician visits, and increased monitoring for acute medical illness within 14 days of admission.

CONCLUSION

Our findings highlight that health instability and transitions from acute to LTC will increase the likelihood of transitioning back into the hospital setting. The identified predisposing factors suggest the need for targeted prevention strategies for those in high-risk groups.

National survey on the management of heart failure in individuals over 80 years of age in French geriatric care units

BACKGROUND

To evaluate the prevalence and management of heart failure (HF) in very old patients in geriatric settings.

METHODS

Members of the French Society of Geriatrics and Gerontology throughout France were invited to participate in a point prevalence survey and to include all patients ≥80 years old, hospitalized in geriatric settings, with HF (stable or decompensated) on June 18, 2012. General characteristics, presence of comorbidities, blood tests and medications were recorded.

RESULTS

Among 7,197 patients in geriatric institution, prevalence of HF was 20.5% (n = 1,478): (27% in acute care, 24.2% in rehabilitation care and 18% in nursing home). Mean age was 88.2 (SD = 5.2) and Charlson co morbidity score was high (8.49 (SD = 2.21)). Left ventricular ejection fraction (LVEF) was available in 770 (52%) patients: 536 (69.6%) had a preserved LVEF (≥ 50%), 120 (15.6%) a reduced LVEF (< 40%), and 114 (14.8%) a midrange LVEF (40-49%). Prescription of recommended HF drugs was low: 42.6% (629) used Angiotensin Converting Enzyme Inhibitors (ACEI) or Angiotensin Receptor Blockers (ARBs), 48.0% (709) β-blockers, and 21.9% (324) ACEI or ARB with β-blockers, even in reduced LVEF. In multivariate analysis ACEI or ARBs were more often used in patients with myocardial infarction (1.36 (1.04-1.78)), stroke (1.42 (1.06-1.91)), and diabetes (1.54 (1.14-2.06)). β blockers were more likely used in patients with myocardial infarction (2.06 (1.54-2.76)) and atrial fibrillation (1.70 (1.28-2.28)).

CONCLUSION

In this large very old population, prevalence of HF was high. Recommended HF drugs were underused even in reduced LVEF. These results indicate that management of HF in geriatric settings can still be improved.

Evidence-Based Practice Guideline: Assessing Heart Failure in Long-Term Care Facilities

Evidence suggests the most crucial elements to successful heart failure (HF) management in long-term care (LTC) include improving staffs' HF knowledge to recognize and intervene in early symptom exacerbations, embedding an effective and integrated interprofessional communication system into daily care processes, risk stratification, and anticipatory advanced care planning. Despite a large body of evidence describing best practices, quality HF management remains elusive in LTC facilities. Studies have shown that care quality and outcomes improve when the entire team, including direct caregivers, have an active role in residents' care planning and implementation. The current article summarizes a revised evidence-based practice guideline on assessing HF, addressing a systematic approach to care delivery, and implementing evidence-based best practices for HF quality improvement initiatives in LTC, post-acute care, and short-term rehabilitation settings. [Journal of Gerontological Nursing, 45(7), 18-24.].

Predicting Future Health Transitions Among Newly Admitted Nursing Home Residents With Heart Failure

OBJECTIVES

To understand how a heart failure diagnosis and admission health instability predict health transitions and outcomes among newly admitted nursing home residents.

DESIGN

Retrospective cohort study of linked administrative data, including the Continuing Care Report System MDS 2.0 for nursing homes, the Discharge Abstract Database for hospitalized patients, and National Ambulatory Care Reporting System to track emergency department visits.

SETTING AND PARTICIPANTS

Older adults, aged 65 years and above, admitted to nursing homes in Ontario, Alberta, and British Columbia, Canada, from 2010 to 2016.

MEASURES

Mortality and hospitalization were plotted over 1 year. Multistate Markov models were used to estimate adjusted odds ratios (ORs) for transitions to different states of health in stability, hospitalization, and death, stratified by heart failure diagnosis and by interRAI Changes in Health and End-stage disease Signs and Symptoms (CHESS) score, at 90 days following admission to a nursing home.

RESULTS

The final sample included 143,067 residents. Adverse events were most common in the first 90 days. A diagnosis of heart failure predicted worsening health instability, hospitalizations, and mortality. The effect of heart failure on hospitalizations and death was strongest for low baseline health instability (CHESS = 0; OR 1.63, 95% confidence interval (CI) 1.58-1.68, and OR 1.71, 95% CI 1.57-1.86, respectively), versus moderate instability (CHESS = 1-2; OR 1.36, 95% CI 1.32-1.39, and OR 1.48, 95% CI 1.41-1.55), versus high instability (CHESS = 3; OR 1.12, 95% CI 1.03-1.23, and OR 1.21, 95% CI 1.11-1.32). The magnitude of the impact of a heart failure diagnosis was greatest for lower baseline health instability. Residents with the highest degree of health instability were also most likely to die in hospital.

CONCLUSIONS AND IMPLICATIONS

A diagnosis of heart failure and health instability provide complementary information to predict transfers, deaths, and adverse outcomes. Clearly identifying these at-risk patients may be useful in targeting interventions in nursing homes.