Current learning strategies in fire evacuation for seniors and people with disabilities in private seniors' residences and long-term care homes: a scoping review

Current strategies for teaching evacuation methods in private seniors' residences (PSR) and long-term care (LTCH) homes may pose risks to people with disabilities (PWD) and seniors' physical and psychological health. This study aimed to address the following questions: (1) Which are the current fire evacuation learning strategies used with PWD or seniors? (2) What are the barriers and facilitators for PWD and seniors' during fire evacuation and learning strategies in PSR and LTCH? (3) What is the existing equipment that could be used with PWD seniors?. A scoping review of grey and scientific literature was done in six databases and Google scholar. Additional information was found on Québec government websites. This review identified 13 scientific papers and 22 documents. Twenty barriers (personal = 9, environmental = 11), and 14 facilitators (personal = 4, environmental = 10) were extracted. The current fire evacuation learning strategies currently used can be grouped into three categories: drills; training; promotion of a fire safety plan. Six types of evacuation equipment were found; however, their use has been scarcely documented. Safety for seniors during fire evacuation is still an important issue to be improved. Increasing awareness and creating new practices and tools that consider the strengths and difficulties of seniors seems to be a promising avenue for improving evacuation.

Projected Savings to Canadian Provincial Budgets from Reduced Long-Term Care Home Utilization Due to a Disease-Modifying Alzheimer's Treatment

BACKGROUND

A disease-modifying Alzheimer's treatment could provide budgetary savings to Canadian provinces from a reduction in long-term care home use, yet we do not know the magnitude of those potential savings.

OBJECTIVE

We project savings to each Canadian province's budget from 2023 to 2043.

DESIGN

Annual savings are projected using a Markov model. We account for reduction in long-term care home use and in use of Alternative Level of Care (ALC) beds, which are hospital beds occupied by care home-eligible patients on the wait list for admission.

RESULTS

A treatment that delays disease progression by 40% is projected to avoid 142,507 long-term care home and ALC years, resulting in $17.2 billion cumulative savings across all Canadian provinces, a 21% relative reduction among treatment eligible patients. Average per capita savings were $1,132, ranging from $734 (Alberta) to $2,895 (Prince Edward Island). Cumulative savings could increase to $22.7 billion with enhanced triage of patients in primary care stages and to $25.6 billion if all capacity constraints for diagnosis and treatment were removed.

CONCLUSION

A disease-modifying treatment could create budgetary savings from lower long-term care home use, offsetting part of the treatment cost. With the increasing demand for long-term care home beds and the high rates of patients being held in hospitals while wait-listed, such a treatment could additionally provide relief to the overburdened long-term care system in Canada.

The Perpetual Pivot: Understanding Care Partner Experiences in Ontario Long-Term Care Homes during the COVID-19 Pandemic

Long-term care homes (LTCHs) were impacted during the COVID-19 pandemic. With their ever-changing conditions and restrictions, care partners' roles in LTCHs changed drastically. In this cross-sectional study, an electronic survey was used to examine the experiences of care part-ners who were caring for one or more adults in an Ontario LTCH during the pandemic. The survey was circulated through social media (convenience sample) which produced a convenience sample of 81 caregiver participants. Visit characteristics and a comparison in the quality of care in LTCHs was analyzed before the pandemic as well as during the most restrictive times. Visitation lengths and frequencies, other sources of communication such as phone and video calls, and various types of care provided by caregivers such as personal grooming and personal care all decreased significantly during the pandemic. Care partners also reported that the health of their care recipients decreased significantly during restrictive visitation times. Through thematic analysis, we identified three themes: restrictions and changing LTCH conditions created (1) social isolation and an erosion of connection, (2) a communication breakdown, and (3) a lack of person-centered care. Findings from this research can promote the health and wellbeing of residents and care partners within LTCHs.

Measuring the Impact of Bedroom Privacy on Social Networks in a Long-Term Care Facility for Hong Kong Older Adults: A Spatio-Social Network Analysis Approach

This study aims to measure the impact of bedroom privacy on residents' social networks in a long-term care (LTC) facility for older adults. Little is known about how the architectural design of bedrooms affects residents' social networks in compact LTC facilities. Five design factors affecting privacy were examined: bedroom occupancy, visual privacy, visibility, bedroom adjacency, and transitional space. We present a spatio-social network analysis approach to analyse the social network structures of 48 residents. Results show that residents with the highest bedroom privacy had comparatively smaller yet stronger groups of network partners in their own bedrooms. Further, residents who lived along short corridors interacted frequently with non-roommates in one another's bedrooms. In contrast, residents who had the least privacy had relatively diverse network partners, however, with weak social ties. Clustering analyses also identified five distinct social clusters among residents of different bedrooms, ranging from diverse to restricted. Multiple regressions showed that these architectural factors are significantly associated with residents' network structures. The findings have methodological implications for the study of physical environment and social networks which are useful for LTC service providers. We argue that our findings could inform current policies to develop LTC facilities aimed at improving residents' well-being.

Cracks in the foundation: The experience of care aides in long-term care homes during the COVID-19 pandemic

BACKGROUND

Care aides (certified nursing assistants, personal support workers) are the largest workforce in long-term care (LTC) homes (nursing homes). They provide as much as 90% of direct care to residents. Their health and well-being directly affect both quality of care and quality of life for residents. The aim of this study was to understand the impact of COVID-19 on care aides working in LTC homes during the first year of the pandemic.

METHODS

We conducted semi-structured interviews with a convenience sample of 52 care aides from 8 LTC homes in Alberta and one in British Columbia, Canada, between January and April 2021. Nursing homes were purposively selected across: (1) ownership model and (2) COVID impact (the rate of COVID infections reported from March to December 2020). Interviews were recorded and analyzed using inductive content analysis.

RESULTS

Care aides were mainly female (94%) and older (74% aged 40 years or older). Most spoke English as an additional language (76%), 54% worked full-time in LTC homes, and 37% worked multiple positions before "one worksite policies" were implemented. Two themes emerged from our analysis: (1) Care aides experienced mental and emotional distress from enforcing resident isolation, grief related to resident deaths, fear of contracting and spreading COVID-19, increased workload combined with staffing shortages, and rapidly changing policies. (2) Care aides' resilience was supported by their strong relationships, faith and community, and capacity to maintain positive attitudes.

CONCLUSIONS

These findings suggest significant, ongoing adverse effects for care aides in LTC homes from working through the COVID-19 pandemic. Our data demonstrate the considerable strength of this occupational group. Our results emphasize the urgent need to appropriately and meaningfully support care aides' mental health and well-being and adequately resource this workforce. We recommend improved policy guidelines and interventions.

Identifying Unexpected Deaths in Long-Term Care Homes

OBJECTIVES

Predicting unexpected deaths among long-term care (LTC) residents can provide valuable information to clinicians and policy makers. We study multiple methods to predict unexpected death, adjusting for individual and home-level factors, and to use as a step to compare mortality differences at the facility level in the future work.

DESIGN

We conducted a retrospective cohort study using Resident Assessment Instrument Minimum Data Set assessment data for all LTC residents in Ontario, Canada, from April 2017 to March 2018.

SETTING AND PARTICIPANTS

All residents in Ontario long-term homes. We used data routinely collected as part of administrative reporting by health care providers to the funder: Ontario Ministry of Health and Long-Term Care. This project is a component of routine policy development to ensure safety of the LTC system residents.

METHODS

Logistic regression (LR), mixed-effect LR (mixLR), and a machine learning algorithm (XGBoost) were used to predict individual mortality over 5 to 95 days after the last available RAI assessment.

RESULTS

We identified 22,419 deaths in the cohort of 106,366 cases (mean age: 83.1 years; female: 67.7%; dementia: 68.8%; functional decline: 16.6%). XGBoost had superior calibration and discrimination (C-statistic 0.837) over both mixLR (0.819) and LR (0.813). The models had high correlation in predicting death (LR-mixLR: 0.979, LR-XGBoost: 0.885, mixLR-XGBoost: 0.882). The inter-rater reliability between the models LR-mixLR and LR-XGBoost was 0.56 and 0.84, respectively. Using results in which all 3 models predicted probability of actual death of a resident at <5% yielded 210 unexpected deaths or 0.9% of the observed deaths.

CONCLUSIONS AND IMPLICATIONS

XGBoost outperformed other models, but the combination of 3 models provides a method to detect facilities with potentially higher rates of unexpected deaths while minimizing the possibility of false positives and could be useful for ongoing surveillance and quality assurance at the facility, regional, and national levels.

Co-Development of a Web-Based Hub (eSocial-hub) to Combat Social Isolation and Loneliness in Francophone and Anglophone Older People in the Linguistic Minority Context (Quebec, Manitoba, and New Brunswick): Protocol for a Mixed Methods Interventional Study

Background

The first wave of the COVID-19 pandemic has severely hit Canadian nursing facilities (81% of deaths). To this toll, public health measures (eg, visitation restriction) have subsequently deepened the social isolation and loneliness of residents in nursing facilities (NFs), especially those in linguistic minority settings: Anglophone institutions in Quebec and Francophone institutions outside Quebec. However, very few COVID-19 initiatives targeting these populations specifically have been documented. Given the limited number of NFs serving linguistic minorities in Canadian populations, families and loved ones often live far from these facilities, sometimes even in other provinces. This context places the digital solutions as particularly relevant for the present COVID-19 pandemic as well as in the post–COVID-19 era.

Objective

This project aims to co-develop a virtual community of practice through a web-based platform (eSocial-hub) to combat social isolation and loneliness among the older people in linguistic minority settings in Canada.

Methods

An interventional study using a sequential mixed methods design will be conducted. Four purposely selected NFs will be included, 2 among facilities in Manitoba and 2 in New Brunswick; and 2 Anglophone NFs in Quebec will serve as knowledge users. The development of eSocial-hub will include an experimental 4-month phase involving the following end users: (1) older people (n=3 per NF), (2) families of the participating older people (n=3 per NF), and (3) frontline staff (nurse and health care aid; n=2 per NF).

Results

Activities and solutions aiming at reducing social isolation and loneliness will be implemented and then evaluated with the project stakeholders, and the best practices generated. The assessment will be conducted using indicators derived from the 5 domains of the Consolidated Framework for Implementation Research. The project will be led by an interdisciplinary team and will involve a multisectoral partnership.

Conclusions

The project will develop a promising and generalizable solution that uses virtual technology to help reduce social isolation and loneliness among the older people.

International Registered Report Identifier (IRRID)

PRR1-10.2196/30802

Feasibility of Multicomponent Training for People with Moderate to Severe Dementia Living in a Long-Term Care Home: A Social Ethical Approach

Multicomponent training is recommended for people with dementia living in long-term care homes. Nevertheless, evidence is limited and people with severe dementia are often excluded from trials. Hence, the aim of this study was to investigate (1) the feasibility and (2) the requirements regarding multicomponent training for people with moderate to severe dementia. The study was conducted as an uncontrolled single arm pilot study with a mixed methods approach. Fifteen nursing home residents with a mean age of 82 years (range: 75–90 years; female: 64%) with moderate to severe dementia received 16 weeks of multicomponent training. Feasibility and requirements of the training were assessed by a standardized observation protocol. Eleven participants regularly attended the intervention. The highest active participation was observed during gait exercises (64%), the lowest during strength exercises (33%). It was supportive if exercises were task-specific or related to everyday life. This study confirms that multicomponent training for the target group is (1) feasible and well accepted, and (2) to enhance active participation, individual instructions and the implementation of exercises related to everyday life is required. The effectiveness of the adapted training should be tested in future randomized controlled trials.

Hearing Screening for Residents in Long-Term Care Homes Who Live with Dementia: A Scoping Review

BACKGROUND

Hearing loss is highly prevalent in older adults, particularly among those living with dementia and residing in long-term care homes (LTCHs). Sensory declines can have deleterious effects on functioning and contribute to frailty, but the hearing needs of residents are often unrecognized or unaddressed.

OBJECTIVE

To identify valid and reliable screening measures that are effective for the identification of hearing loss and are suitable for use by nursing staff providing care to residents with dementia in LTCHs.

METHODS

Electronic databases (Embase, Medline, PsycINFO, CENTRAL, and CINAHL) were searched using comprehensive search strategies, and a stepwise approach based on Arksey & O'Malley's scoping review and appraisal process was followed.

RESULTS

There were 193 scientific papers included in the review. Pure-tone audiometry was the most frequently reported measure to test hearing in older adults living with dementia. However, measures including self- or other-reports and questionnaires, review of medical records, otoscopy, and the whisper test were found to be most suitable for use by nurses working with older adults living with dementia in LTCHs.

CONCLUSION

Although frequently used, the suitability of pure-tone audiometry for use by nursing staff in LTCHs is limited, as standardized audiometry presents challenges for many residents, and specific training is needed to successfully adapt test administration procedures and interpret results. The whisper test was considered to be more suitable for use by staff in LTCH; however, it yields a limited characterization of hearing loss. There remains an urgent need to develop new approaches to screen hearing in LTCHs.