Regional variations of care in home care and long-term care: a retrospective cohort study

Patterns of referral to interprofessional services among frail older adults presenting to emergency departments in Canada

BACKGROUND

Geriatric Emergency Department (ED) Guidelines recommend optimizing transitions of care for older patients with complex needs. In this study, we investigated referral patterns to interprofessional services, including occupational therapy, physiotherapy, dietician, social work, home care, and specialized geriatric services, among older adults presenting to the ED with high-risk characteristics.

METHODS

We recruited community-dwelling older adults presenting to 10 EDs across Ontario, Quebec, and Newfoundland, Canada, from April 2017 to July 2018. To observe processes of care in the ED, we deployed a two-stage high-risk case-finding and focused comprehensive assessment process based on the interRAI ED-Screener and ED Contact Assessment to identify and characterize older adults at high risk. We analyzed the secondary data using descriptive statistics and logistic regression.

RESULTS

We screened 5265 individuals with the ED Screener, further assessed 1479 with the ED Contact Assessment, and analyzed data from a subset of 1055 community-dwelling older adults assessed with the ED Contact Assessment. Participants in our study sample had a mean age of 83 years, 58% were female, and many had a complex burden of cognitive and functional impairment and social needs. Over half of this high-needs sample were referred to general home care services (62.7%), occupational therapy (59.3%), and physiotherapy services (55.2%), while 16% were referred to specialized geriatric services. We also found a significant positive association between interprofessional referrals and the Assessment Urgency Algorithm and Institutional Risk Scale. The most important determinants of referral to interprofessional services were hospital province, functional, clinical, and social burden and support measures.

CONCLUSIONS

The referral patterns identified suggest that patient needs and risk intensity did not always guide referral patterns in the Canadian EDs investigated. We suggest that EDs critically examine the appropriateness of their documentation and referral systems for supporting person-centered care provision.

Inter-provincial variation in older home care clients and their pathways: a population-based retrospective cohort study in Canada

BACKGROUND

In Canada, publicly-funded home care programs enable older adults to remain and be cared for in their home for as long as possible but they often differ in types of services offered, and the way services are delivered. This paper examines whether these differing approaches to care shape the pathway that home care clients will take. Older adult client pathways refer to trajectories within, and out of, the home care system (e.g., improvement, long term care (LTC) placement, death).

METHODS

A retrospective analysis of home care assessment data (RAI-HC was linked with health administrative data, long-term care admissions and vital statistics in Nova Scotia Health (NSH) and Winnipeg Regional Health Authority (WRHA). The study cohort consists of clients age 60 + years, admitted to home care between January 1, 2011 to December 31, 2013 and up to four years from baseline. Differences in home care service use, client characteristics and their pathways were tested across the two jurisdictions overall, and among the four discharge streams within jurisdictions using t-tests and chi-square tests of significance.

RESULTS

NS and WHRA clients were similar in age, sex, and marital status. NS clients had higher levels of need (ADL, cognitive impairment, CHESS) at base line and were more likely discharged to LTC (43% compared to 38% in WRHA). Caregiver distress was a factor correlated with being discharged to LTC. While a third remained as home care clients after 4 years; more than half were no longer in the community - either discharged to LTC placement or death. Such discharges occurred on average at around two years, a relatively short time period.

CONCLUSIONS

By following older clients over 4 years, we provide enhanced evidence of client pathways, the characteristics that influence these paths, as well as the length of time to the outcomes. This evidence is central to identification of clients at risk in the community and aids in planning for future home care servicing needs that will allow more older adults to remain living in the community.

The Role of the Medical Director in Ontario Long-Term Care Homes: Impact of COVID-19

Objectives

The pandemic has uncovered a broad lack of understanding of the role of the Medical Director in Canadian Long-Term Care (LTC) Homes. Our objectives were to identify the current demographics and practices of LTC Medical Directors, discover how the pandemic affected their practice habits, and inform the content of the Ontario Long-Term Care Clinicians Medical Director Course, to ensure that Medical Directors have the requisite knowledge of the responsibilities of their role.

Design

Email survey.

Setting and Participants

Medical directors in Ontario long-term care homes.

Methods

Responses to open-ended, close-ended, multiple-choice, and free-text questions.

Results

A total of 156 medical directors (approximately 24%) completed the survey. Ninety-four percent were family physicians. Approximately 40% of participants had been a medical director for fewer than 5 years, whereas more than 11% have been in the role for greater than 30 years. More than 60% spend fewer than 2 hours per week in their administrative role, with fewer than 23% completing formal evaluations of the attending clinicians. Greater than 75% are either satisfied or extremely satisfied in their medical director role, citing excellent engagement and collaboration with team members. Feelings of dissatisfaction were associated with pandemic stress, increased hours and responsibility, inadequate remuneration, lack of ability to make decisions and lack of acknowledgement that physicians add value to the interdisciplinary team.

Conclusion and Implications

It is clear that medical directors are in a unique position to impact the care of residents within LTC. It is imperative to engage medical directors as integral members of the LTC health care team. This can be achieved by acknowledging their medical expertise for improving outcomes, providing them with the authority for decision making, compensating them appropriately, and clearly defining the role. By making these changes, we can ensure that there is a higher likelihood to sustain effective medical leadership in LTC.

Social and Regional Factors Predict the Likelihood of Admission to a Nursing Home After Acute Hospital Stay in Older People With Chronic Health Conditions: A Multilevel Analysis Using Routinely Collected Hospital and Census Data in Switzerland

If hospitalization becomes inevitable in the course of a chronic disease, discharge from acute hospital care in older persons is often associated with temporary or persistent frailty, functional limitations and the need for help with daily activities. Thus, acute hospitalization represents a particularly vulnerable phase of transient dependency on social support and health care. This study examines how social and regional inequality affect the decision for an institutionalization after acute hospital discharge in Switzerland. The current analysis uses routinely collected inpatient data from all Swiss acute hospitals that was linked on the individual level with Swiss census data. The study sample included 60,209 patients 75 years old and older living still at a private home and being hospitalized due to a chronic health condition in 199 hospitals between 2010 and 2016. Random intercept multilevel logistic regression was used to assess the impact of social and regional factors on the odds of a nursing home admission after hospital discharge. Results show that 7.8% of all patients were admitted directly to a nursing home after hospital discharge. We found significant effects of education level (compulsory vs. tertiary education OR = 1.16 (95% CI: 1.03-1.30), insurance class (compulsory vs. private insurance OR = 1.24 (95% CI: 1.09-1.41), living alone vs. living with others (OR = 1.64; 95% CI: 1.53-1.76) and language regions (French vs. German speaking part: OR = 0.54; 95% CI: 0.37-0.80) on the odds of nursing home admission in a model adjusted for age, gender, nationality, health status, year of hospitalization and hospital-level variance. The language regions moderated the effect of education and insurance class but not of living alone. This study shows that acute hospital discharge in older age is a critical moment of transient dependency especially for socially disadvantaged patients. Social and health care should work coordinated together to avoid unnecessary institutionalizations.

Outcomes of advance care directives after admission to a long-term care home: DNR the DNH?

BACKGROUND

Residents of long-term care homes (LTCH) often experience unnecessary and non-beneficial hospitalizations and interventions near the end-of-life. Advance care directives aim to ensure that end-of-life care respects resident needs and wishes.

METHODS

In this retrospective cohort study, we used multistate models to examine the health trajectories associated with Do-Not-Resuscitate (DNR) and Do-Not-Hospitalize (DNH) directives of residents admitted to LTCH in Ontario, Alberta, and British Columbia, Canada. We adjusted for baseline frailty-related health instability. We considered three possible end states: change in health, hospitalization, or death. For measurements, we used standardized RAI-MDS 2.0 LTCH assessments linked to hospital records from 2010 to 2015.

RESULTS

We report on 123,003 LTCH residents. The prevalence of DNR and DNH directives was 71 and 26% respectively. Both directives were associated with increased odds of transitioning to a state of greater health instability and death, and decreased odds of hospitalization. The odds of hospitalization in the presence of a DNH directive were lowered, but not eliminated, with odds of 0.67 (95% confidence interval 0.65-0.69), 0.63 (0.61-0.65), and 0.47 (0.43-0.52) for residents with low, moderate and high health instability, respectively.

CONCLUSION

Even though both DNR and DNH orders are associated with serious health outcomes, DNH directives were not frequently used and often overturned. We suggest that policies recommending DNH directives be re-evaluated, with greater emphasis on advance care planning that better reflects resident values and wishes.

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.

Assessments of heart failure and frailty-related health instability provide complementary and useful information for home care planning and prognosis

BACKGROUND

Health instability, measured with the Changes in Health and End-stage disease Signs and Symptoms (CHESS) scale, predicts hospitalizations and mortality in home care clients. Heart failure (HF) is also common among home care clients. We seek to understand how HF contributes to the odds of death, hospitalization or worsening health among new home care clients depending on admission health instability.

METHODS

We undertook a retrospective cohort study of home care clients aged 65 years and older between January 1st 2010 and March 31st 2015 from Alberta, British Columbia, Ontario, and the Yukon, Canada. We used multistate Markov models to derive adjusted odds ratios (OR) for transitions to different health instability states, hospitalization, and death. We examined the role of HF and CHESS at 6 months after home care admission.

RESULTS

The sample included 286,232 clients. Those with HF had greater odds of worsening health instability than those without HF. At low-moderate admission health instability (CHESS 0-2), clients with HF had greater odds of hospitalization and death than those without HF. Clients with HF and high health instability (CHESS≥3) had slightly greater odds of hospitalization (OR 1.08, 95% Confidence Interval 1.02-1.13) but similar odds of death (OR 1.024, 95% CI 0.937-1.120) compared to clients without HF.

CONCLUSIONS

Among new home care clients, a HF diagnosis predicts death, hospitalization and worsening health, predominantly among those with low-moderate admission health instability. A HF diagnosis and admission CHESS score provide complementary information to support care planning in this population.

Nurse Practitioners Rising to the Challenge During the Coronavirus Disease 2019 Pandemic in Long-Term Care Homes

Background and Objectives

There is an urgency to respond to the longstanding deficiencies in health human resources in the long-term care (LTC) home sector, which have been laid bare by the coronavirus disease 2019 (COVID-19) pandemic. Nurse practitioners (NPs) represent an efficient solution to human resource challenges. During the current pandemic, many Medical Directors in LTC homes worked virtually to reduce the risk of transmission. In contrast, NPs were present for in-person care. This study aims to understand the NPs’ roles in optimizing resident care and supporting LTC staff during the pandemic.

Research Design and Methods

This exploratory qualitative study employed a phenomenological approach. A purposive sample of 14 NPs working in LTC homes in Ontario, Canada, was recruited. Data were generated using semistructured interviews and examined using thematic analysis.

Results

Four categories relating to the NPs’ practices and experiences during the pandemic were identified: (a) containing the spread of COVID-19, (b) stepping in where needed, (c) supporting staff and families, and (d) establishing links between fragmented systems of care by acting as a liaison.

Discussion and Implications

The findings suggest that innovative models of care that include NPs in LTC homes are required moving forward. NPs embraced a multitude of roles in LTC homes, but the need to mitigate the spread of COVID-19 was central to how they prioritized their days. The pandemic clearly accentuated that NPs have a unique scope of practice, which positions them well to act as leaders and build capacity in LTC homes.