Nursing home resident symptomatology triggering transfer: avoiding unnecessary hospitalizations

Clinical indicators of acute deterioration in persons who reside in residential aged care facilities: A rapid review

PURPOSE

To identify the clinical indicators of acute deterioration in residents and the factors that influence residential aged care facility staff's identification of these.

DESIGN

Rapid review and narrative synthesis.

METHODS

The WHO and Cochrane Rapid Review Methods Group recommendations guided the review processes. CINAHL, Medline, PubMed, and the Cochrane Library were searched from 2000 to January 2022. Data related to clinical indicators of deterioration were categorized using the Airway, Breathing, Circulation, Disability, Exposure assessment framework, and factors influencing detection were grouped as consumer (resident and family), aged care workforce, and organization factors.

RESULTS

Twenty publications were included of which 14 informed clinical indicators; nine highlighted factors that influence staff's identification of these and three informed both. Included article were collectively below moderate quality. Most clinical indicators were grouped into the 'Disability' category with altered level of consciousness, behavior, and pain identified most frequently. Few studies reported more traditional indicators of deterioration used in the general population - changes in vital signs. The most common factors influencing the detection of acute deterioration were organizational and workforce-related including resource, knowledge, and confidence deficits.

CONCLUSION

Findings suggest subtle changes in resident's health status, rather than focusing primarily on physiologic parameters used in early warning tools for acute care settings, should be recognized and considered in the design of early warning tools for residential aged care facilities.

CLINICAL RELEVANCE

Early warning tools sensitive to the unique needs of residents and support for aged care facility staff are recommended to improve the capacity of aged care facility care staff to identify and manage acute deterioration early to avoid hospitalization.

Machine Learning for Predictive Modelling of Ambulance Calls

A novel machine learning approach is presented in this paper, based on extracting latent information and using it to assist decision making on ambulance attendance and conveyance to a hospital. The approach includes two steps: in the first, a forward model analyzes the clinical and, possibly, non-clinical factors (explanatory variables), predicting whether positive decisions (response variables) should be given to the ambulance call, or not; in the second, a backward model analyzes the latent variables extracted from the forward model to infer the decision making procedure. The forward model is implemented through a machine, or deep learning technique, whilst the backward model is implemented through unsupervised learning. An experimental study is presented, which illustrates the obtained results, by investigating emergency ambulance calls to people in nursing and residential care homes, over a one-year period, using an anonymized data set provided by East Midlands Ambulance Service in United Kingdom.

Trajectories of Symptoms in Nursing Home Residents after a Transfer to the Emergency Department

OBJECTIVE

To describe the trajectories of pain, dyspnea, fever, confusion, agitation and fatigue of nursing home residents' (NHRs) after a transfer to the emergency department (ED).

DESIGN

Observational multicenter study.

SETTING

17 EDs in France.

PARTICIPANTS

751 NHRs presenting to EDs over four non-consecutive weeks (one week per season) in 2016.

MEASUREMENTS

Trajectories of symptoms (binary variables) including pain, dyspnea, fever, agitation, confusion and fatigue at four times: before ED transfer, during the transfer, in the ED and after discharge.

RESULTS

Group-based multi-trajectory modelling was performed to identify groups of NHRs following similar trajectories of symptoms evolution after a transfer to ED. Five groups were identified. In group 1 (n=190), NHRs presented with confusion and a rising prevalence of fatigue. In group 2 (n=212), NHRs presented with a highly prevalent but declining pain. In group 3 (n=158), NHRs presented with similar peaking pain prevalence, rising confusion and fatigue, and a high but stable agitation prevalence. In group 4 (n=144), NHRs presented with a highly prevalent but declining dyspnea, rising then declining fever, rising confusion, and a high and fluctuating fatigue prevalence. In group 5 (n=47), NHRs presented with a highly prevalent but declining fever, rising then declining dyspnea, stable and high both fatigue and pain prevalence, stable and low prevalence of confusion.

CONCLUSION

Symptom alleviation in NHRs transferred to ED was better achieved in those with pain, fever or dyspnea rather than in those with confusion, agitation and fatigue. NHRs' resilience through the stress of an ED transfer could be predicted by comorbidity and functional abilities, challenged by acute conditions representing various levels of stress intensity, and evaluated on the course of non-specific symptoms. NHRs' resilience is key to estimate the appropriateness of an ED transfer and should facilitate advance care planning regarding NHRs' hospitalizations.

Hospital Transfer Rates Among US Nursing Home Residents With Advanced Illness Before and After Initiatives to Reduce Hospitalizations

IMPORTANCE

Hospital transfers among nursing home residents in the United States who have been diagnosed with advanced illnesses and have limited life expectancy are often burdensome, costly, and of little clinical benefit. National initiatives, introduced since 2012, have focused on reducing such hospitalizations, but little is known about the consequences of these initiatives in this population.

OBJECTIVE

To investigate the change in hospital transfer rates among nursing home residents with advanced illnesses, such as dementia, congestive heart failure (CHF), and chronic obstructive pulmonary disease (COPD), from 2011 to 2017-before and after the introduction of national initiatives to reduce hospitalizations.

DESIGN, SETTING, AND PARTICIPANTS

In this cross-sectional study, nationwide Minimum Data Set (MDS) assessments from January 1, 2011, to December 31, 2016 (with the follow-up for transfer rates until December 31, 2017), were used to identify annual inception cohorts of long-stay (>100 days) nursing home residents who had recently progressed to the advanced stages of dementia, CHF, or COPD. The data were analyzed from October 24, 2018, to October 3, 2019.

MAIN OUTCOMES AND MEASURES

The number of hospital transfers (hospitalizations, observation stays, and emergency department visits) per person-year alive was calculated from the MDS assessment from the date when residents first met the criteria for advanced illness up to 12 months afterward using Medicare claims from 2011 to 2017. Transfer rates for all causes, potentially avoidable conditions (sepsis, pneumonia, dehydration, urinary tract infections, CHF, and COPD), and serious bone fractures (pelvis, hip, wrist, ankle, and long bones of arms or legs) were investigated. Hospice enrollment and mortality were also ascertained.

RESULTS

The proportions of residents in the 2011 and 2016 cohorts who underwent any hospital transfer were 56.1% and 45.4% of those with advanced dementia, 77.6% and 69.5% of those with CHF, and 76.2% and 67.2% of those with COPD. The mean (SD) number of transfers per person-year alive for potentially avoidable conditions was higher in the 2011 cohort vs 2016 cohort: advanced dementia, 2.4 (14.0) vs 1.6 (11.2) (adjusted risk ratio [aRR], 0.73; 95% CI, 0.65-0.81); CHF, 8.5 (32.0) vs 6.7 (26.8) (aRR, 0.72; 95% CI, 0.65-0.81); and COPD, 7.8 (30.9) vs 5.5 (24.8) (aRR, 0.64; 95% CI, 0.57-0.72). Transfers for bone fractures remained unchanged, and mortality did not increase. Hospice enrollment was low across all illness groups and years (range, 23%-30%).

CONCLUSIONS AND RELEVANCE

The findings of this study suggest that concurrent with new initiatives aimed at reducing hospitalizations, hospital transfers declined between 2011 and 2017 among nursing home residents with advanced illnesses without increased mortality rates. Opportunities remain to further reduce unnecessary hospital transfers in this population and improve goal-directed care for those residents who opt to forgo hospitalization.

Reducing Avoidable Facility Transfers (RAFT): Outcomes of a Team Model to Minimize Unwarranted Emergency Care at Skilled Nursing Facilities

BACKGROUND

Acute health care interventions for residents of skilled nursing facilities (SNFs) are often unwarranted, unwanted, and/or harmful. We describe a provider-focused care model to reduce unwarranted or unwanted acute health care utilization.

OBJECTIVE

Assess the capability of the Reducing Avoidable Facility Transfers (RAFT) model to reduce unwanted and unwarranted acute health care utilization among residents in 3 rural SNFs between January 1, 2016 and June 30, 2017.

DESIGN

Prospective cohort, pre/post study.

SETTING

Three rural SNFs in collaboration with a geriatric practice in a tertiary academic medical center.

PARTICIPANTS

Post-acute care (PAC) and long-term care (LTC) residents of 3 rural SNFs.

INTERVENTION

RAFT includes the following components: (1) a small team of providers who manage longitudinal care and after hours call; (2) elicitation of advance care plans and preferences regarding acute care; (3) standardized communication process engaging the provider at the identification of an acute care event; (4) a biweekly case review of all emergency department (ED) transfers.

MEASURES

ED and hospital utilization.

RESULTS

RAFT demonstrated a 35% reduction in monthly ED transfers and a 30.5% reduction in monthly hospitalizations. These reductions were greatest for LTC residents.

CONCLUSIONS/IMPLICATIONS

The RAFT approach substantially reduced unwarranted ED and hospital utilization in this study. Results support replication and evaluation in a larger, more diverse setting and population.

Managing the deteriorating nursing home resident after the introduction of a hospital avoidance programme: a nursing perspective

BACKGROUND

Hospital avoidance programmes aim to reduce the number of emergency transfers from nursing homes to hospitals and facilitate early discharge for hospitalised residents. Nursing staff are at the forefront of these efforts, yet little is known about how the programmes affect them and their management of the deteriorating resident. This information is needed to inform hospital avoidance programmes and better understand their work.

AIM

To examine nursing home nursing staff perceptions regarding their management of the deteriorating resident after the introduction of a hospital avoidance programme.

METHODS

A thematic analysis was conducted of focus group data collected from nursing staff 14 to 15 months after the introduction of a pilot hospital avoidance programme at an Australian nursing home.

FINDINGS

The programme was well received and filled a gap in nursing staff management of residents with deteriorating health by providing structure and support. Staff were more confident and focused on this area of their work. Nursing assistants felt more integrated into the system and were supported and learning from nurses. Workload remained heavy and there was a shift in how time was allocated, but nursing staff preferred to keep residents at the facility.

CONCLUSION

Nursing staff welcomed the programme and benefitted from its implementation. However, strategies must be explored to accommodate the staffing needs associated with providing emergency and subacute care in the nursing home setting.

From nursing home to acute care: signs, symptoms, and strategies used to prevent transfer

Older adults are vulnerable to experiencing physiologic changes that may permanently decrease functional abilities when transferring from the nursing home (NH) to the acute care setting. Making the right decision about who and when to transfer from the nursing home (NH) to acute care is critical for optimizing quality care. The specific aims of this study were to identify the common signs and symptoms exhibited by NH residents at the time of transfer to acute care and to identify strategies used to prevent transfer of NH residents. Using survey methodology, this descriptive study found change in level of consciousness, chest pressure/tightness, shortness of breath, decreased oxygenation, and muscle or bone pain were the highest ranked signs/symptoms requiring action. Actions to prevent transfer focused on stabilizing resident conditions and included hydration, oxygen, antibiotics, medications, symptom management, and providing additional physical assistance. When transfer was warranted, actions concentrated on the practical tasks of getting the residents transferred.