What contributes to a decline in cognitive performance among home care clients? Analysis of interRAI data from across Canada.

BACKGROUND: The current study examined potential risk factors for experiencing a decline on the interRAI Cognitive Performance Scale (CPS). METHODS: This was a retrospective cohort study using secondary data collected with the Resident Assessment Instrument for Home Care (RAI-HC) for all assessments completed in Canada between 2001 and 2020. Eligible home care clients included individuals 65+, with at least two assessments completed within 12 months, and who had a CPS score of zero at baseline (n = 146,187). A decline on the CPS was defined as any increase (i.e., worsening) on the CPS score between the two assessments. RESULTS: The mean age of the sample was 80.6 years (standard deviation = 7.7), 67.9% were female and 44.5% were widowed. At the time of the second assessment, 25.2% experienced a decline on their CPS score. In the final multivariate model, age, having a diagnosis of Alzheimer's dementia/other type of dementia, physical inactivity, and having a caregiver at risk of experiencing burden were the most significant predictors of experiencing the outcome. CONCLUSIONS: Roughly one-quarter of Canadian home care clients experienced a cognitive decline, over an average of seven months. Since there are some modifiable risk factors for this outcome, it is important to identify and flag these factors as early as possible. Early identification of modifiable risk factors allows clinicians to create care plans that can optimize the well-being of the client and their family.

Strategies used during the cognitive evaluation of older adults with dual sensory impairment: a scoping review.

BACKGROUND: Dual sensory impairment (DSI), the combination of visual and hearing impairments, is associated with increased risk for age-related cognitive decline and dementia. Administering cognitive tests to individuals with sensory impairment is challenging because most cognitive measures require sufficient hearing and vision. Considering sensory limitations during cognitive test administration is necessary so that the effects of sensory and cognitive abilities on test performance can be differentiated and the validity of test results optimized. OBJECTIVE: To review empirical strategies that researchers have employed to accommodate DSI during cognitive testing of older adults. METHODS: Seven databases (MEDLINE, Embase, Web of Science, CINAHL, PsycINFO, Global Health and the Evidence-Based Medicine Reviews databases) were searched for relevant articles integrating the three concepts of cognitive evaluation, aging, and DSI. Given the inclusion criteria, this scoping review included a total of 67 papers. RESULTS: Twenty-eight studies reported five categories of strategies for cognitive testing of older adult participants with DSI: the assistance of experts, the modification of standardized test scoring procedures, the use of communication strategies, environmental modifications, and the use of cognitive tests without visual and/or auditory items. CONCLUSIONS: The most used strategy reported in the included studies was drawing on the assistance of team members from related fields during the administration and interpretation of cognitive screening measures. Alternative strategies were rarely employed. Future research is needed to explore the knowledge-to-practice gap between research and current clinical practice, and to develop standardized testing strategies.

Comparing quality indicator rates for home care clients receiving palliative and end-of-life care before and during the Covid-19 pandemic.

BACKGROUND: The consensus among Canadians with regards to end-of-life preferences is that with adequate support the majority prefer to live and die at home. PURPOSE: To compare quality indicator (QI) rates for home care clients receiving palliative and end-of-life care prior to and after the onset of the COVID-19 pandemic. METHODS: A retrospective population-based cohort design was used. Sixteen QIs informed by existing literature and a preliminary set of QIs recently evaluated by a modified Delphi panel were compared. Data were obtained from the interRAI Palliative Care instrument for Ontario home care clients for two separate cohorts: the pre-COVID (January 14, 2019 to March 16, 2020) and COVID cohort (March 17, 2020 to May 18, 2021). A propensity score analysis was used to match (using nearest neighbour matching) on 21 covariates, resulting in a sample size of 2479 unique interRAI Palliative Care assessments in each cohort. Alternative propensity score methods were explored as part of a sensitivity analysis. RESULTS: After matching the pre-COVID and COVID cohorts, five of the 16 QIs had statistically significant differences in the QI rates (change from pre-COVID to COVID): decrease in prevalence of severe or excruciating daily pain (p = 0.03, effect size=-0.08), decrease in prevalence of caregiver distress (p = 0.02, effect size=-0.06), decrease in prevalence of negative mood (p = 0.003, effect size=- 0.17), decrease in prevalence of a delirium-like syndrome (p = 0.001, effect size=-0.25) and decrease in prevalence of nausea or vomiting (p = 0.04, effect size=-0.06). While the alternative propensity score methods produced slightly different results, no clinically meaningful differences were seen between the cohorts when effect sizes were examined. All methods were in agreement regarding the highest QI rates, which included the prevalence of shortness of breath with activity, no advance directives, and fatigue. CONCLUSION: This study is the first to examine differences in QI rates for home care clients receiving palliative and end-of-life care before and during COVID in Ontario. It appears that QI rates did not change over the course of the pandemic in this population. Future work should be directed to understanding the temporal variation in these QI rates, risk-adjusting the QI rates for further comparison among jurisdictions, provinces, and countries, and in creating benchmarks for determining acceptable rates of different QIs.

Language and pain predict persistent depression among seriously ill home care clients.

OBJECTIVES: This study examined potential predictors of persistent depressive symptoms in a cohort of seriously ill older adults (aged 65+ years) receiving home care services. METHODS: This was a retrospective cohort study using secondary data collected from the Resident Assessment Instrument for Home Care for all assessments completed between 2001 and 2020. The cohort included seriously ill individuals with depressive symptoms at baseline and who continued to have depressive symptoms on reassessment within 12 months (n = 8,304). Serious illness was defined as having severe health instability, a prognosis of less than 6 months, or a goal of care related to palliative care (PC) on admission to the home care program. RESULTS: The mean age of the sample was 80.8 years (standard deviation [SD] = 7.7), 61.1% were female, and 82.1% spoke English as their primary language. The average length of time between assessments was 4.9 months (SD = 3.3). During that time, 64% of clients had persistent symptoms of depression. A multivariate logistic regression model found that language, pain, caregiver burden, and cognitive impairment were the most significant predictors of experiencing persistent depressive symptoms. SIGNIFICANCE OF RESULTS: Persistent depressive symptoms are highly prevalent in this population and, left untreated, could contribute to the person experiencing a "bad death." Some of the risk factors for this outcome are amenable to change, making it important to continually assess and flag these factors so interventions can be implemented to optimize the person's quality of life for as long as possible.

Development and validation of risk of CPS decline (RCD): a new prediction tool for worsening cognitive performance among home care clients in Canada.

BACKGROUND: To develop and validate a prediction tool, or nomogram, for the risk of a decline in cognitive performance based on the interRAI Cognitive Performance Scale (CPS). METHODS: Retrospective, population-based, cohort study using Canadian Resident Assessment Instrument for Home Care (RAI-HC) data, collected between 2010 and 2018. Eligible home care clients, aged 18+, with at least two assessments were selected randomly for model derivation (75%) and validation (25%). All clients had a CPS score of zero (intact) or one (borderline intact) on intake into the home care program, out of a possible score of six. All individuals had to remain as home care recipients for the six months observation window in order to be included in the analysis. The primary outcome was any degree of worsening (i.e., increase) on the CPS score within six months. Using the derivation cohort, we developed a multivariable logistic regression model to predict the risk of a deterioration in the CPS score. Model performance was assessed on the validation cohort using discrimination and calibration plots. RESULTS: We identified 39,292 eligible home care clients, with a median age of 79.0 years, 62.3% were female, 38.8% were married and 38.6% lived alone. On average, 30.3% experienced a worsening on the CPS score within the six-month window (i.e., a change from 0 or 1 to 2, 3, 4, 5, or 6). The final model had good discrimination (c-statistic of 0.65), with excellent calibration. CONCLUSIONS: The model accurately predicted the risk of deterioration on the CPS score over six months among home care clients. This type of predictive model may provide useful information to support decisions for home care clinicians who use interRAI data internationally.

Prevalence of sensory impairments in home care and long-term care using interRAI data from across Canada.

BACKGROUND: In the general population, sensory impairments increase markedly with age in adults over 60 years of age. We estimated the prevalence of hearing loss only (HL), vision loss only (VL), and a combined impairment (i.e., dual sensory loss or DSL) in Canadians receiving home care (HC) or long-term care (LTC). METHODS: Annual cross-sectional analyses were conducted using data collected with one of two interRAI assessments, one used for the HC setting (n = 2,667,199), and one for LTC (n = 1,538,691). Items in the assessments were used to measure three mutually exclusive outcomes: prevalence of VL only, HL only, or DSL. Trends over time for each outcome were examined using the Cochran-Armitage trend test. A negative binomial model was used to quantify the trends over time for each outcome while adjusting for age, sex and province. RESULTS: In HC, there was a significant trend in the rate for all three outcomes (p < 0.001), with a small increase (roughly 1%) each year. In HC, HL was the most prevalent sensory loss, with a rate of roughly 25% to 29%, while in LTC, DSL was the most prevalent impairment, at roughly 25% across multiple years of data. In both settings, roughly 60% of the sample was female. Males in both HC and LTC had a higher prevalence of HL compared to females, but the differences were very small (no more than 2% in any given year). The prevalence of HL differed by province after adjusting for year, age and sex. Compared to Ontario, Yukon Territory had a 26% higher rate of HL in HC (relative rate [RR] = 1.26; 95% confidence interval [CI]:1.11, 1.43), but LTC residents in Newfoundland and Labrador had a significantly lower rate of HL (RR: 0.57; CI: 0.43, 0.76).When combined, approximately 60% of LTC residents, or HC clients, had at least one sensory impairment. CONCLUSIONS: Sensory impairments are highly prevalent in both HC and LTC, with small sex-related differences and some variation across Canadian provinces. The interRAI assessments provide clinicians with valuable information to inform care planning and can also be used to estimate the prevalence of these impairments in specific population sub-groups.

The interRAI CHESS scale is comparable to the palliative performance scale in predicting 90-day mortality in a palliative home care population.

BACKGROUND: Prognostic accuracy is important throughout all stages of the illness trajectory as it has implications for the timing of important conversations and decisions around care. Physicians often tend to over-estimate prognosis and may under-recognize palliative care (PC) needs. It is therefore essential that all relevant stakeholders have as much information available to them as possible when estimating prognosis. AIMS: The current study examined whether the interRAI Changes in Health, End-Stage Disease, Signs and Symptoms (CHESS) Scale is a good predictor of mortality in a known PC population and to see how it compares to the Palliative Performance Scale (PPS) in predicting 90-day mortality. METHODS: This retrospective cohort study used data from 2011 to 2018 on 80,261 unique individuals receiving palliative home care and assessed with both the interRAI Palliative Care instrument and the PPS. Logistic regression models were used to evaluate the relationship between the main outcome, 90-day mortality and were then replicated for a secondary outcome examining the number of nursing visits. Comparison of survival time was examined using Kaplan-Meier survival curves. RESULTS: The CHESS Scale was an acceptable predictor of 90-day mortality (c-statistic = 0.68; p < 0.0001) and was associated with the number of nursing days (c = 0.61; p < 0.0001) and had comparable performance to the PPS (c = 0.69; p < 0.0001). The CHESS Scale performed slightly better than the PPS in predicting 90-day mortality when combined with other interRAI PC items (c = 0.72; p < 0.0001). CONCLUSION: The interRAI CHESS Scale is an additional decision-support tool available to clinicians that can be used alongside the PPS when estimating prognosis. This additional information can assist with the development of care plans, discussions, and referrals to specialist PC teams.

A Newly Identified Impairment in Both Vision and Hearing Increases the Risk of Deterioration in Both Communication and Cognitive Performance.

Vision and hearing impairments are highly prevalent in adults 65 years of age and older. There is a need to understand their association with multiple health-related outcomes. We analyzed data from the Resident Assessment Instrument for Home Care (RAI-HC). Home care clients were followed for up to 5 years and categorized into seven unique cohorts based on whether or not they developed new vision and/or hearing impairments. An absolute standardized difference (stdiff) of at least 0.2 was considered statistically meaningful. Most clients (at least 60%) were female and 34.9 per cent developed a new sensory impairment. Those with a new concurrent vison and hearing impairment were more likely than those with no sensory impairments to experience a deterioration in receptive communication (stdiff = 0.68) and in cognitive performance (stdiff = 0.49). After multivariate adjustment, they had a twofold increased odds (adjusted odds ratio [OR] = 2.1; 95% confidence interval [CI]:1,87, 2.35) of deterioration in cognitive performance. Changes in sensory functioning are common and have important effects on multiple health-related outcomes.

A multi-stage process to develop quality indicators for community-based palliative care using interRAI data.

BACKGROUND: Individuals receiving palliative care (PC) are generally thought to prefer to receive care and die in their homes, yet little research has assessed the quality of home- and community-based PC. This project developed a set of valid and reliable quality indicators (QIs) that can be generated using data that are already gathered with interRAI assessments-an internationally validated set of tools commonly used in North America for home care clients. The QIs can serve as decision-support measures to assist providers and decision makers in delivering optimal care to individuals and their families. METHODS: The development efforts took part in multiple stages, between 2017-2021, including a workshop with clinicians and decision-makers working in PC, qualitative interviews with individuals receiving PC, families and decision makers and a modified Delphi panel, based on the RAND/ULCA appropriateness method. RESULTS: Based on the workshop results, and qualitative interviews, a set of 27 candidate QIs were defined. They capture issues such as caregiver burden, pain, breathlessness, falls, constipation, nausea/vomiting and loneliness. These QIs were further evaluated by clinicians/decision makers working in PC, through the modified Delphi panel, and five were removed from further consideration, resulting in 22 QIs. CONCLUSIONS: Through in-depth and multiple-stakeholder consultations we developed a set of QIs generated with data already collected with interRAI assessments. These indicators provide a feasible basis for quality benchmarking and improvement systems for care providers aiming to optimize PC to individuals and their families.

Effect of Early Palliative Care on End-of-Life Health Care Costs: A Population-Based, Propensity Score-Matched Cohort Study.

PURPOSE: This study aimed to investigate the impact of early versus not-early palliative care among cancer decedents on end-of-life health care costs. METHODS: Using linked administrative databases, we created a retrospective cohort of cancer decedents between 2004 and 2014 in Ontario, Canada. We identified those who received early palliative care (palliative care service used in the hospital or community 12 to 6 months before death [exposure]). We used propensity score matching to identify a control group of not-early palliative care, hard matched on age, sex, cancer type, and stage at diagnosis. We examined differences in average health system costs (including hospital, emergency department, physician, and home care costs) between groups in the last month of life. RESULTS: We identified 144,306 cancer decedents, of which 37% received early palliative care. After matching, we created 36,238 pairs of decedents who received early and not-early (control) palliative care; there were balanced distributions of age, sex, cancer type (24% lung cancer), and stage (25% stage III and IV). Overall, 56.3% of early group versus 66.7% of control group used inpatient care in the last month (P < .001). Considering inpatient hospital costs in the last month of life, the early group used an average (±standard deviation) of $7,105 (±$10,710) versus the control group of $9,370 (±$13,685; P < .001). Overall average costs (±standard deviation) in the last month of life for patients in the early versus control group was $12,753 (±$10,868) versus $14,147 (±$14,288; P < .001). CONCLUSION: Receiving early palliative care reduced average health system costs in the last month of life, especially via avoided hospitalizations.

What should be measured to assess the quality of community-based palliative care? Results from a collaborative expert workshop.

OBJECTIVES: The need for palliative care (PC) will continue to increase in Canada with population aging. Many older adults prefer to "age in place" and receive care in their own homes. Currently, there is a lack of standardized quality indicators (QIs) for PC delivered in the community in Canada. METHODS: A one-day workshop collected expert opinions on what should be measured to capture quality PC. Three brainstorming sessions were focused on addressing the following questions: (1) what is important to measure to support quality PC, regardless of setting? (2) Of the identified measures, are any of special importance to care provided in the home? (3) What are the challenges, barriers, and opportunities for creating these measures? The National Consensus Project (NCP) for Quality Palliative Care framework was used as a guide to group together important comments into key themes. RESULTS: The experts identified four themes that are important for measuring quality, regardless of care setting, including access to care in the community by a multidisciplinary team, care for the individual with PC needs, support for the informal caregiver (e.g., family, friends), and symptom management for individuals with PC needs. Two additional themes were of special importance to measuring quality PC in the home, including spiritual care for individuals with PC needs and home as the preferred place of death. The challenges, barriers, and potential opportunities to these quality issues were also discussed. SIGNIFICANCE OF RESULTS: PC experts, through this collaborative process, made a substantial contribution to the creation of a standardized set of QIs for community-based PC. Having a standardized set of QIs will enable health care professionals and decision makers to target areas for improvement, implement interventions to improve the quality of care, and ultimately, optimize the health and well-being of individuals with a serious illness.

Prognosis does not change the landscape: palliative home care clients experience high rates of pain and nausea, regardless of prognosis.

BACKGROUND: Most individuals who typically receive palliative care (PC) tend to have cancer and a relatively short prognosis (< 6 months). People with other life-limiting illnesses can also benefit from a palliative care approach. However, little is known about those who receive palliative home care in Ontario, Canada's largest province. To address this gap, the goal of this project was to understand the needs, symptoms and potential differences between those with a shorter (< 6 months) and longer prognosis (6+ months) for individuals receiving PC in the community. METHODS: A cross-sectional analysis was conducted using interRAI Palliative Care (interRAI PC) assessment data collected between 2011 and 2018. Individuals with a shorter prognosis (< 6 months; n = 48,019 or 64.1%) were compared to those with a longer prognosis (6+ months; n = 26,945) across several clinical symptoms. The standardized difference (stdiff), between proportions, was calculated to identify statistically meaningful differences between those with a shorter and longer prognosis. Values of the stdiff of 0.2 or higher (absolute value) indicated a statistically significant difference. RESULTS: Overall, cancer was the most prevalent diagnosis (83.2%). Those with a shorter prognosis were significantly more likely to experience fatigue (75.3% vs. 59.5%; stdiff = 0.34) and shortness of breath at rest (22.1% vs. 13.4%; stdiff = 0.23). However, the two groups were similar in terms of severe pain (73.5% vs. 66.5%; stdiff = - 0.15), depressive symptoms (13.2% vs. 10.7%; stdiff = 0.08) and nausea (35.7% vs. 29.4%; stdiff = 0.13). CONCLUSIONS: These results highlight the importance of earlier identification of individuals who could benefit from a palliative approach to their care as individuals with a longer prognosis also experience high rates of symptoms such as pain and nausea. Providing PC earlier in the illness trajectory has the potential to improve an individual's overall quality of life throughout the duration of their illness.

"The system is well intentioned, but complicated and fallible" interviews with caregivers and decision makers about palliative care in Canada.

BACKGROUND: Canadian palliative care (PC) philosophy seeks to support individuals in a person-centered and sensitive manner. Unfortunately, philosophy does not necessarily translate into practice and this divide may leave patients without appropriate care at the end of life, causing distress for some families. The primary goal of the study was to identify key factors affecting perceptions of quality PC from the perspective of informal caregivers and decision makers (e.g., program managers) and to understand how their experiences within the health care system may have influenced their perceptions. METHODS: Nine caregivers and 11 decision makers from Yukon Territory, British Columbia, Alberta, Ontario, & Nova Scotia shared their experiences in PC via interview or focus group. Audio recordings were transcribed verbatim and qualitatively analyzed for themes. RESULTS: Three themes emerged, including the Caregiver as Anchor, Bewildering System, and Patient, Caregiver, and Family-Centered Care. While these results resembled other studies on caregivers and individuals receiving PC, the present study also uncovered systemic concerns. There was agreement between the two participant groups across most subthemes, however only caregivers reported feelings of being trapped by the health care system and a general lack of respect from health care professionals. Additionally, caregivers stressed the importance of preserving some sort of normalcy in daily life despite the individual's illness. CONCLUSIONS: Caregivers are critical. The health care system expects them to help a great deal, but they often do not feel supported or respected and the system is lacking the capacity and resources to meet their needs while they are grieving loss and struggling to meet demands.

Symptom trajectories of non-cancer patients in the last six months of life: Identifying needs in a population-based home care cohort.

INTRODUCTION: The end-of-life symptom prevalence of non-cancer patients have been described mostly in hospital and institutional settings. This study aims to describe the average symptom trajectories among non-cancer patients who are community-dwelling and used home care services at the end of life. MATERIALS AND METHODS: This is a retrospective, population-based cohort study of non-cancer patients who used home care services in the last 6 months of life in Ontario, Canada, between 2007 and 2014. We linked the Resident Assessment Instrument for Home Care (RAI-HC) (standardized home care assessment tool) and the Discharge Abstract Databases (for hospital deaths). Patients were grouped into four non-cancer disease groups: cardiovascular, neurological, respiratory, and renal (not mutually exclusive). Our outcomes were the average prevalence of these outcomes, each week, across the last 6 months of life: uncontrolled moderate-severe pain as per the Pain Scale, presence of shortness of breath, mild-severe cognitive impairment as per the Cognitive Performance Scale, and presence of caregiver distress. We conducted a multivariate logistic regression to identify factors associated with having each outcome respectively, in the last 6 months. RESULTS: A total of 20,773 non-cancer patient were included in our study, which were analyzed by disease groups: cardiovascular (n = 12,923); neurological (n = 6,935); respiratory (n = 6,357); and renal (n = 3,062). Roughly 80% of patients were > 75 years and half were female. In the last 6 months of life, moderate to severe pain was frequent in the cardiovascular (57.2%), neurological (42.7%), renal (61.0%) and respiratory (58.3%) patients. Patients with renal disease had significantly higher odds for reporting uncontrolled moderate to severe pain (odds ratio [OR] = 1.21; 95% CI: 1.08 to 1.34) than those who did not. Patients with respiratory disease reported significantly higher odds for shortness of breath (5.37; 95% CI, 5.00 to 5.80) versus those who did not. Patients with neurological disease compared to those without were 9.65 times more likely to experience impaired cognitive performance and had 56% higher odds of caregiver distress (OR = 1.56; 95% CI: 1.43 to 1.71). DISCUSSION: In our cohort of non-cancer patients dying in the community, pain, shortness of breath, impaired cognitive function and caregiver distress are important symptoms to manage near the end of life even in non-institutional settings.

Development and validation of a prediction model of poor performance status and severe symptoms over time in cancer patients (PROVIEW+).

BACKGROUND: Predictive cancer tools focus on survival; none predict severe symptoms. AIM: To develop and validate a model that predicts the risk for having low performance status and severe symptoms in cancer patients. DESIGN: Retrospective, population-based, predictive study. SETTING/PARTICIPANTS: We linked administrative data from cancer patients from 2008 to 2015 in Ontario, Canada. Patients were randomly selected for model derivation (60%) and validation (40%). Using the derivation cohort, we developed a multivariable logistic regression model to predict the risk of an outcome at 6 months following diagnosis and recalculated after each of four annual survivor marks. Model performance was assessed using discrimination and calibration plots. Outcomes included low performance status (i.e. 10-30 on Palliative Performance Scale), severe pain, dyspnea, well-being, and depression (i.e. 7-10 on Edmonton Symptom Assessment System). RESULTS: We identified 255,494 cancer patients (57% female; median age of 64; common cancers were breast (24%); and lung (13%)). At diagnosis, the predicted risk of having low performance status, severe pain, well-being, dyspnea, and depression in 6-months is 1%, 3%, 6%, 13%, and 4%, respectively for the reference case (i.e. male, lung cancer, stage I, no symptoms); the corresponding discrimination for each outcome model had high AUCs of 0.807, 0.713, 0.709, 0.790, and 0.723, respectively. Generally these covariates increased the outcome risk by >10% across all models: lung disease, dementia, diabetes; radiation treatment; hospital admission; pain; depression; transitional performance status; issues with appetite; or homecare. CONCLUSIONS: The model accurately predicted changing cancer risk for low performance status and severe symptoms over time.

Trajectory of End-of-Life Pain and Other Physical Symptoms among Cancer Patients Receiving Home Care.

PURPOSE: To describe the trajectory of physical symptoms among cancer decedents who were receiving home care in the six months before death. PATIENTS AND METHODS: An observational cohort study of cancer decedents in Ontario, Canada, who received home care services between 2007 and 2014. To be included, decedents had to use at least one home care service in the last six months of life. Outcomes were the presence of pain and several other physical symptoms at each week before death. RESULTS: Our cohort included 27,295 cancer decedents (30,368 assessments). Forty-seven percent were female and 56% were age 75 years or older. The prevalence of all physical symptoms increased as one approached death, particularly in the last month of life. In the last weeks of life, 69% of patients reported having moderate-severe pain; however, only 20% reported that the pain was not controlled. Loss of appetite (63%), shortness of breath (59%), high health instability (50%), and self-reported poor health (44%) were also highly prevalent in the last week of life. Multivariate regression showed that caregiver distress, high health instability, social decline, uncontrolled pain, and signs of depression all worsened the odds of having a physical symptom in the last 3 months of life. CONCLUSION: In this large home care cancer cohort, trajectories of physical symptoms worsened close to death. While presence of moderate-severe pain was common, it was also reported as mostly controlled. Covariates, such as caregiver distress and social decline, were associated with having more physical symptoms at end of life.

End-of-life outcomes with or without early palliative care: a propensity score matched, population-based cancer cohort study.

OBJECTIVES: To investigate whether cancer decedents who received palliative care early (ie, >6 months before death) and not-early had different risk of using hospital care and supportive home care in the last month of life. DESIGN/SETTING: We identified a population-based cohort of cancer decedents between 2004 and 2014 in Ontario, Canada using linked administrative data. Analysis occurred between August 2017 to March 2019. PARTICIPANTS: We propensity-score matched decedents on receiving early or not-early palliative care using billing claims. We created two groups of matched pairs: one that had Resident Assessment Instrument (RAI) home care assessments in the exposure period (Yes-RAI group) and one that did not (No-RAI group) to control for confounders uniquely available in the assessment, such as health instability and pain. The outcomes were the absolute risk difference between matched pairs in receiving hospital care, supportive home care or hospital death. RESULTS: In the No-RAI group, we identified 36 238 pairs who received early and not-early palliative care. Those in the early palliative care group versus not-early group had a lower absolute risk difference of dying in hospital (-10.0%) and receiving hospital care (-10.4%) and a higher absolute risk difference of receiving supportive home care (23.3%). In the Yes-RAI group, we identified 3586 pairs, where results were similar in magnitude and direction. CONCLUSIONS: Cancer decedents who received palliative care earlier than 6 months before death compared with those who did not had a lower absolute risk difference of receiving hospital care and dying in hospital, and an increased absolute risk difference of receiving supportive home care in the last month of life.

Optimizing Evaluation of Older Adults With Vision and/or Hearing Loss Using the interRAI Community Health Assessment and Deafblind Supplement.

Purpose: Service providers must identify and assess older adults who have concurrent vision and hearing loss, or dual sensory impairment (DSI). An assessment tool suitable for this purpose is the interRAI Community Health Assessment (CHA) and its Deafblind Supplement. This study's goal was to explore this assessment's administration process and to generate suggestions for assessors to help them optimize data collection. Methods: A social worker with experience working with adults who have sensory loss, who was also naïve to the interRAI CHA, administered the assessment with 200 older adults (65+) who had visual and/or hearing loss. The assessor evaluated the utility of the instrument for clinical purposes, focusing on sections relevant to identifying/characterizing adults with DSI. Results: Suggestions include the recommendation to ask additional questions regarding the person's functional abilities. This will help assessors deepen their understanding of the person's sensory status. Recommendations are also provided regarding sensory impairments and rehabilitation, in a general sense, to help assessors administer the interRAI CHA. Conclusions: Suggestions will help assessors to deepen their knowledge about sensory loss and comprehensively understand the assessment's questions, thereby allowing them to optimize the assessment process and increase their awareness of sensory loss in older adults.

Trajectory of psychosocial symptoms among home care patients with cancer at end-of-life.

PURPOSE: Understanding the end-of-life psychosocial needs of cancer patients at home is a knowledge gap. This study describes the trajectory of psychosocial symptoms in the last 6 months of life among cancer decedents who were receiving home care. METHODS: Observational population-based cohort study of cancer decedents who were receiving home care services between 2007 and 2014. Decedents had to have at least one home care assessment in the last 6 months of life for inclusion. Outcomes were the presence of psychosocial symptoms (i.e., anxiety, loneliness, depression, social decline, caregiver distress, and cognitive decline) at each week before death. RESULTS: Our cohort included 27,295 unique cancer decedents (30,368 assessments), of which 58% died in hospital. Fifty-six percent were older than 74, and 47% were female. The prevalence of all symptoms increased approaching death, except loneliness. Social decline (48%-78%) was the most prevalent psychosocial symptom, though loneliness was reported in less than 10% of the cohort. Caregiver distress rose over time from 15%-27%. A third of the cohort reported issues with cognitive impairment. Multivariate regression showed that physical symptoms such as uncontrolled pain, impairment in independent activities of daily living, and a high level of health instability all significantly worsened the odds of having a psychosocial symptom in the last 3 months of life. CONCLUSION: In this large home care cancer cohort, trajectories of psychosocial symptoms worsened close to death. Physical symptoms, such as uncontrolled pain, were associated with having worse psychosocial symptoms at end of life.

Development and Validation of Caregiver Risk Evaluation (CaRE): A New Algorithm to Screen for Caregiver Burden.

Objective: The main objective was to develop a decision-support tool to assess the risk of caregiver burden, the Caregiver Risk Evaluation (CaRE) algorithm. Methods: Home care clients were assessed using the Resident Assessment Instrument for Home Care (RAI-HC). Their caregiver completed the 12-item Zarit Burden Interview (ZBI), the main dependent measure, which was linked to the RAI-HC. Results: In the sample (n = 344), 48% were aged 85+ years and 61.6% were female. The algorithm can be collapsed into four categories (low, moderate, high, and very high risk). Relative to the low-risk group, clients in the very high-risk group had an odds ratio of 5.16 (95% confidence interval: [2.05, 12.9]) for long-term care admission, after adjusting for client age, sex, and regional health authority. Discussion: The CaRE algorithm represents a new tool to be used by home care clinicians as they proactively plan for the needs of clients and their caregivers.