<p> One in three American older adults fall every year, making falls the leading cause of nonfatal injury treated in the emergency department (Centers for Disease Control and Prevention [CDC], 2013). Fall-related injuries cost the United States healthcare system nearly $30 billion a year and result in 27,000 deaths per year (Burns, Stevens, &amp; Lee, 2016). The risk of falls increases with age, occurring more often in women than man. Age-related muscle weakness and functional decline contribute to fall risk. Age-related changes in neuroendocrine hormone production and shifts in circadian rhythms promote sleep disorders, affecting nearly two-thirds of older adults. Poor sleep quality over time leads to drowsiness and impaired attention span and judgment. The purpose of this secondary analysis of a previously collected data set was to describe the relationships among frailty, subjective sleep quality, and falls in community-dwelling older adults. This secondary analysis also sought to determine the extent to which frailty and subjective sleep quality predict risk of future falls among community-dwelling older adults. Correlational analyses were performed to determine the nature and significance of the relationship between sleep quality and falls, frailty and falls, and sleep quality and frailty. A multiple regression analysis was performed to determine if sleep quality and frailty combined could predict falls. Frailty was found to account for a small variance in fall risk. However, sleep quality was not significantly related to falls nor was sleep quality predictive of falls. Risk for falls should be assessed at every clinical encounter and efforts to promote restful sleep should be addressed at least annually to reduce the risks of falls, functional decline, and sleep disorders among older adults in the community.</p>

<p> The world is undergoing a key demographic shift and a restructuring of its population due to the increase in the relative size of the aging population. Based on the latest world census data, the number of people aged 65 or older is expected to increase from an estimated 416 million in the year 2000 to 853 million in the year 2025. The US Census Bureau estimated that in 2050 the number of Americans aged 65 and older would reach 88.5 million, more than double the projected population of 40.2 million in 2010. The state of California has 3.5 million people over the age of 65, the largest older adult population in the United States. This research assessed the functions and effects of the organizational culture of the Area Agencies on Aging in California as the lead agencies mandated to deliver services to older adults. The study presented measurements and comparisons of the cultural traits of each agency and the impact of these traits on performance across the state of California. The organizational culture traits that were scrutinized included involvement, consistency, adaptability, and mission. The outcomes revealed that Area Agencies on Aging in California were high-performance organizations. The data showed that the strongest trait was involvement, which was manifested a high level of employee investment in their work. The weakest trait was adaptability, which was manifested by inflexible or not easily changed behavior.</p>

<p> The purpose of this study was to explore the relationship between green environments and resilience in older adults. It had two aims: 1) to explore the effect of a reflective garden walking program on resilience and three of its related concepts&mdash; perceived stress, personal growth initiative, and quality of life&mdash;in older adults, and 2) to explore the resilience patterns of older adults engaging in the reflective garden walking intervention. A parallel mixed method design using a quasi-experimental quantitative and a descriptive exploratory qualitative approach was used. Participants engaged in a six week reflective garden walking program. By the end of the program, resilience levels exhibited a slight increase and perceived stress levels a decrease. The qualitative data supported some beneficial effects of the reflective garden walking program, but also indicated that much of the participants&rsquo; experience of resilience may have been related to the rich social and nature-filled environment in which already they lived. Patterns of resilience that appeared in the data were <i>maintaining a positive attitude, belief in one&rsquo;s self in the face of one&rsquo;s vulnerabilities, woven into the social fabric, purpose and meaning, personal strength, and communities for growing older</i></p>

<p> This research was an investigation into the retirement experiences of people who reported that they really enjoyed (or continue to enjoy) work. A brief history of retirement and a literature review of theories of human development relevant to retirement were provided. Myths about retirement were addressed. A new definition of retirement was offered. Retirement was found to be, for most people, a desired and positive experience. Outliers were identified for whom this was not the case, among them, those who really liked or like their work. This project investigated the retirement experiences of these workers when they retired after a primary career, and when they decided never to retire. Many of those who really liked or like their work were found to prefer their working lives to retirement.</p><p>

People are living longer and this increases the risk of encountering financial difficulties when trying to make fixed retirement incomes stretch over additional years. Increased life expectancies also increase the likelihood of encountering a health issue including cognitive or functional declines that can affect money management capabilities. There are government entitlement programs available to assist retired Canadians but these programs are under review and new policies are being considered in order to reduce fiscal pressures. At the same time, family roles and structures are changing and informal supports available to previous generations may be reduced. As well, if an older person’s money is poorly managed there will be fewer options for maintaining quality of life in the retirement years. This increases the risk of poverty for older Canadians. The goals of this research are to: understand individual risk factors including demographic, clinical and social support characteristics among Canadians age 55 and over who are experiencing poverty; to understand the predictive characteristics for moving into or exiting from poverty; and, to develop a comprehensive description of those who have great difficulty managing their finances. In order to achieve this, data from the interRAI Home Care (RAI-HC) assessment instrument were used. Three regions, Winnipeg Regional Health Authority (WRHA), Nova Scotia and Ontario, were analyzed in order to understand the characteristics of those making economic trade-offs (N=345,678). Data from the province of Ontario was used to understand predictors of poverty transitions (N=47,653) and to develop a profile of those having great difficulty managing their finances (N=321,816). In order to answer each question of interest multivariable logistic regression modeling was used. Results from the analyses found that those most at risk for making economic trade-offs were in the age 55 to 64 group, had three or more depressive symptoms and were separated or divorced. Gender was not a risk factor. Regional differences for poverty risks were also identified showing greater risks for those experiencing mental health issues in WHRA, for those with more clinical indicators in Ontario, and for younger residents (age 55 to 64) in Nova Scotia. The longitudinal analyses on poverty transitions revealed that females who had completed at least a grade eight education were more likely to exit poverty. The younger group (age 55 to 64 years) with three or more depressive symptoms and experiencing unstable health were more likely to enter poverty. Marriage and older age were protective from the risks of entering poverty. Results from the analyses of those likely to have great difficulty with financial management indicated that deficits in cognition, procedural memory and function increased the risk of being unable to manage personal finances. Gender and marital status were not associated with financial management difficulty. The development of a profile of those who are making economic trade-offs and those at risk of having difficulty with financial management provides the opportunity for early intervention. Those who have not reached the traditional retirement age of 65 have an increased risk of poverty. Understanding characteristics of those who exit poverty will help establish policies and programs that will assist older Canadians. These are important issues due to the increased number of post-employment years that Canadians are living and the national focus on fiscal restraints. The management of finances has received minimal scientific research and evidence is needed to understand when changes in capability occur and how these changes may be supported by appropriate levels of assistance and supportive devices.

Suicide in later life is a growing public health concern that is expected to increase as the baby boom generation reach late adulthood. In the general population, older adults have rates of suicide that are higher than any other age group. The rate of suicide is particularly higher for older men. In Canada, older men between 80 and 84 years have rates of suicide approximately six times greater than older women the same age. Older adults living in the community are a sub-set of the population that are at high risk for suicide yet are not typically a focus of suicide research. As a result they remain hidden from the view of mental health promotion and suicide prevention programs until a decline in mental status brings them to the attention of formal mental health care services. Improving our understanding of suicide in later life particularly among community-residing older men can inform suicide prevention strategies. To improve this understanding, the goals of this research were three-fold: to comprehensively describe the sociodemographic and clinical characteristics of community residing older adults who have experienced suicide-related behaviour; to describe the rates, risk and protective factors, and predictors of suicide-related behaviour among this population; and to compare these findings to a subpopulation of community-residing older adults with neurological conditions. To achieve these aims, this research utilized a secondary data analysis approach using health information from multiple linked datasets. The Canadian Institute of Health Information (CIHI) performed record linkages between Ontario hospital administrative data (Discharge Abstract Database, National Ambulatory Care Reporting System, and Ontario Mental Health Reporting System) and Ontario home care data (Home Care Reporting System). Home care data are sourced from the Resident Assessment Instrument–Home Care (RAI-HC) Assessment Instrument, the provincially mandated assessment tool used to identify the strengths, preferences and needs of all long-stay home care clients. The RAI-HC contains over 350 items across a wide range of domains including health, functional status and resource use. Linkages of these data records between home care and hospital sectors enabled the prospective examination of community-residing older adults with recent suicide-related behaviour. This is one of the first national and international studies to use the RAI-HC to examine older home care clients with experiences of suicide-related behaviour. The study samples consisted of Ontario home care clients aged 60 years or older assessed with the RAI-HC between April 2007 and September 2010. Clients’ initial RAI-HC assessment was examined followed by corresponding hospital records for suicide-related behaviour (N = 222,149). The prevalence of suicide-related behaviour for the sample was 1.01% (n=2,077) with higher rates for older men than women. Rates were examined across geographic regions of Ontario. Descriptive analyses demonstrated that older adults with suicide-related behaviour had more indicators of psychiatric distress (including cognitive impairment) and psychosocial dysfunction than the general home care population. Multivariate analyses showed significant effects for age and gender in the prediction of suicide-related behaviour after adjusting for risk and protective covariates. Tangible areas for intervention were revealed that may reduce future suicide risk such as managing alcohol use and dependence, managing pain, increasing positive social relationships, and reducing social isolation. Time-to-event analysis supported the multivariate regression findings. Analyses of two subpopulations of older adults with neurological conditions (dementia and Parkinson’s disease) demonstrated marked differences in suicide risk and protective factors compared to the general home care population. Findings suggest that a one-size-fits-all approach to suicide prevention and intervention is not appropriate for persons with these conditions, as their specific risk and protective factors need to be taken into consideration. This study based on provincial data covering the home care sector in Ontario defined high risk groups of older adults and provided evidence for risk and protective factors associated with suicide-related behaviour. Findings point to several areas that should be assessed by home care professionals to reduce risk in the older home care client population. This multi-dimensional profile of high risk older adults will assist in initiating a policy dialogue regarding the need for targeted suicide prevention strategies in Ontario’s home care sector.

Purpose: The purpose of this dissertation was to examine the determinants of unplanned emergency department (ED) use by home care clients, the profile of older ED patients, their transitions from the ED, as well as the determinants of post discharge outcomes among older ED patients. The goal of this dissertation was to create theoretically driven, evidence-based, and practical risk identification methods for home care and the ED. Methods: First, a multi-year, census-level cohort study was conducted on home care clients in two Canadian provinces (N=617,035). Census-level data from RAI-HC assessments were linked to census-level ED records. A needs-based decision tree model – the ED Model – informed by the Andersen Behavioural Model, was created using decision tree analyses. The final model was validated on a separate data partition and compared to the ERA Index and the CARS. Multilevel analyses were conducted to test regional variation in model performance. Disease stratified analyses were also conducted to test model generalizability across common disease classes. Regression analyses determined the effect of predisposing and enabling factors within ED Model strata. Second, a multi-site, multi-province prospective cohort study was conducted, termed the Management of Older Persons in Emergency Departments (MOPED) Study, using a clinically representative sample of 2,101 older ED patients. The interRAI ED-CA was used to assess older ED patients, and a 90-day disposition was collected. The profile of older ED patents was examined. Best-subset regression analyses identified person-level determinants of acute inpatient admission. Two needs-based decision tree models – the ALC/LTC and ED Revisit Models – were created using decision tree analyses to determine the risk of ALC designation or LTC placement, and unplanned repeat ED visits, respectively. Both models were validated on separate data partitions. Multilevel analyses were conducted to test site-level variation in the models’ performance. Results: Overall, 41.2% of home care clients had at least one unplanned emergency department visit within 6 months of an assessment. Previous ED use, cardio-respiratory symptoms, cardiac conditions, and mood symptoms featured heavily in the ED Model. The ED Model provided moderate risk differentiation and clinical utility. It achieved an area under the curve of 0.62 (95% CI: 0.61-0.62) and showed clear differentiation in Kaplan-Meier plots using validation data. Multi-level analyses showed no regional variation. The ED Model significantly outperformed the similar tools specific to primary care with respect to overall accuracy and perceived clinical utility. Predisposing and enabling characteristics provided little added differentiation beyond evaluated need. The majority of older ED patients were dependent on others for basic tasks of daily living, and many had fragile informal care or lived alone. Triage acuity generally did not differentiate chronic geriatric disabilities and conditions. Previous ED or hospital use was associated with chronic geriatric disabilities and conditions as well as informal caregiver distress. The Admission Model found that multiple factors were associated with admission to inpatient acute care, including: acuity, instability, changes in ADL function, cognition, nutrition, and anhedonia. Overall, 20.7% of older ED patients admitted to acute care were designated ALC or discharged to LTC; whereas 39.5% of older ED patients discharged home had one or more repeat ED visits within 90 days. Cognitive, functional, and informal care indicators were predictive of ALC/LTC; whereas functional status and symptoms were predictive of repeat ED use. The ALC/LTC and ED Revisit Models provided good risk differentiation, achieving AUC’s of 0.74 (95% CI: 0.69-0.79) and 0.69 (95% CI: 0.63-0.74), respectively. The ALC/LTC and ED Revisit Models showed clear differentiation in Kaplan-Meier plots. Multi-level analyses showed no site-level variation in each models’ performance. Conclusions: This dissertation produced tangible and empirically-based risk assessment models for clinical practice in home care and the ED. The models developed in this dissertation can support the targeting of preventative services as well as better communication strategies between the ED and community supportive care, primary care, and inpatient acute care. Key questions related to the prevention of the risk pathways identified in each risk assessment model remain unanswered, and should be a focus of future research.

Background: An essential component of managing the health care system effectively as the population ages is to provide care to seniors in the care setting that can best meet their needs. The majority of seniors wish to remain at home, to maintain their independence. Informal caregivers (family, friends and neighbours) provide as much as 80% of care to seniors who reside at home. The absence of or loss of an informal caregiver and/or a decline in a senior’s health may necessitate a change in care setting. Supportive Housing (SH) is a rapidly emerging alternative care setting for seniors who can no longer have their needs met at home. Objective: The objectives of this dissertation were: to provide a comprehensive description of the profile of SH clients in Ontario; to determining the role of SH in the continuum of care; to develop an algorithm to support care placement decisions; and to explore the longitudinal outcomes of SH clients including quality of life, and long-term care placement. The following four research questions were addressed: What are the socio-demographic and clinical characteristics of persons currently residing in SH units in Ontario? How do the profiles of current SH clients differ from the profiles of persons residing in other care settings? What changes occur in the appropriateness of SH to meet care needs over time? What factors are associated with discharge from SH to a long-term-care facility (LTC)? Methodology: The research questions were answered primarily using two Ontario interRAI data sets: A pilot sample of 1,720 SH clients collected using the interRAI Community Health Assessment and a sample of 29,790 Community Care Access Centre (CCAC) clients collected as part of normal clinical practice from clients residing in residential care setting, including SH. Data from LTC (N=832) and complex continuing care (CCC; N=425) clients in the Mississauga-Halton (MH) LHIN were also used. Data on care placement decisions were collected using a Staff Rating Form (N=332 in SH). Results: SH clients are a relatively light-care population who require support with instrumental activities of daily living (IADLs) and tend to lack an informal caregiver. SH clients who receive care from a CCAC are in the minority but represent a much more clinically complex sub-population. According to staff members, the majority (80%) of SH clients are appropriately placed; of the remaining 20%, 17% were prematurely admitted to SH and would be best cared for at home, a further 3% require LTC placement. Moreover, about 10% of seniors who receive care in the MH LHIN, have been inappropriately placed and would be best cared for in a SH unit. A Decisions Support Algorithm for SH (DASH) was developed to inform care placement decisions in Ontario. The algorithm was based on both resource availability and client care needs. Level of impairment in: IADLs, cognition, continence and score on the MAPLe algorithm (an interRAI prioritization algorithm; see Figure 11), were found to be significant predictors of care placement. Poor QoL was relatively rare (~5%) among SH clients and regression analysis was used to determine the variables associated with a decline in QoL. Finally, survival analysis determined that 20% of SH clients are discharged to LTC within one year. Age, dependence on others to perform IADLs, bladder incontinence, cognitive impairment, and higher MAPLe scores were associated with this discharge. Conclusions: Analyses in this dissertation have clearly indicated the need for a standardized assessment instrument in this sector. Arbitrary decisions around eligibility and discharge criteria for supportive housing have led to inappropriate placement of clients and confusion over the role supportive housing is to play in the continuum of care. Evidence-informed care placement decisions should consider client care needs as well as both the availability of formal and informal support. An integrated health information system, such as the interRAI instruments, facilitates a culture of evidence and improves communication across the care continuum. SH is a rapidly emerging alternative care setting for seniors. If managed carefully, SH has the potential to help address many health system level concerns as the population ages. It is hoped that this dissertation has answered some key questions and also inspired further research into an important and growing field.

Population aging in Canada is associated with a rising burden of heart failure (HF), a condition associated with substantial morbidity, mortality and health service use. HF management involves pharmacotherapy, exercise, dietary restrictions and symptom monitoring. First-line combination pharmacotherapy for HF consists of an angiotensin converting enzyme inhibitor (ACE inhibitor) or angiotensin receptor blocker (ARB) in conjunction with a β-adrenergic receptor blocker (β-blocker). This combination therapy can reduce mortality, improve symptoms and reduce health service use. However, evidence about the benefits of these therapies has been derived from randomized controlled trials in younger patients from acute care and specialty clinic settings. Little work has explored outcomes among older individuals and those in the community setting. In purposely studying an older cohort of individuals with HF, the goals of this research were three-fold: to comprehensively describe their sociodemographic, clinical and service use characteristics; to describe rates of usage of first-line HF pharmacotherapy and correlates of non-use; and to examine the outcomes of mortality, long-term care (LTC) admission, long-stay hospitalization, admission, new cognitive decline and new functional decline as well as predictors of these outcomes. To achieve these aims, this work made use of the extensive data available through the Resident Assessment Instrument – Home Care (RAI-HC) database in Ontario. The RAI-HC is mandated for use in Ontario to assess all long-stay home care clients (those expected to receive home care service for at least 60 days). This assessment contains over 300 items about sociodemographic and clinical characteristics, diagnoses, service use and geriatric conditions, such as functional abilities and cognition. The study samples included long-stay home care clients older than 65 years of age. The descriptive analyses (N=264,030) demonstrated that older home care clients with HF are a more complex group than home care clients without HF, with more comorbidity and higher use of medications and health care services. From the analyses examining pharmacotherapy use (N=176,860), rates of use of first-line pharmacotherapy were low, with only 30% of clients with HF receiving recommended combination first-line therapies, a similar proportion receiving no therapies and the remainder receiving at least one therapy. The multivariate analyses revealed that hypertension and diabetes mellitus diagnoses affect first-line therapy use. Regardless of clinical subgroup, use of these therapies was less likely among older clients and those with functional impairment, airway disease or behavioural symptoms. Longitudinal analyses were done using Cox proportional hazards regression modeling (N=9,283) in which individuals were followed for nine months after each RAI-HC assessment. Results from these analyses showed that female gender and living alone reduced the risk of all outcomes except LTC admission, while age over 85 years generally increased the risk of all examined outcomes. Comprehensive clinical indicators, the Changes in Health, End-stage disease, Signs and Symptoms (CHESS) scale and Method for Assigning Priority Level (MAPLe) algorithm, increased the risk of all outcomes except new cognitive decline. ACE inhibitor use was protective of LTC admission and functional decline, but not mortality, long-stay hospitalizations or cognitive decline. The complexity of older individuals with HF could impair self-care abilities and points to the need for initiatives to help such individuals manage their care at home with appropriate support and services. The low rates of use of first-line pharmacotherapy among older home care clients with HF highlights the need for better understanding of which factors affect prescribing practices. Better evidence, that is more applicable to older individuals with HF, is needed about the therapeutic benefits of first-line therapies to help enhance the evidence base and improve patient care.

Background: Quality of life (QoL) of long term care facility (LTC) residents is being recognized as an important outcome of care by LTC providers, researchers, and policy makers. For residents, measurement of QoL is a valued opportunity to express their perception of the quality of their daily life in the LTC facility. For clinicians, self-reported QoL provides useful information in planning and implementing resident-centred care. Purpose: The purposes of this study were: (1) to examine the distributional and psychometric properties of the interRAI Self-Report Nursing Home Quality of Life Survey (interRAI_QoL Survey); and (2) to explore the relationship of selected socio-demographic and clinical characteristics of residents and LTC facility attributes with residents’ self-reported QoL. Methodology: This was a cross-sectional observational study. A convenience sample of 48 volunteer LTC facilities from six Canadian provinces was involved in this study. Nine hundred and twenty eight (928) residents agreed to participate in this study. Resident inclusion required an interRAI Cognitive Performance Scale score of 0 (intact) to 3 (moderate impairment). Residents’ self-reported QoL was measured by trained surveyors using the interRAI_QoL Survey instrument. Residents’ socio-demographic and clinical characteristics were obtained from the most recentResident Assessment Instrument –Minimum Data Set 2.0 prior to the QoL interviews. LTC facility attributes were measured by a survey form specifically designed for this purpose. Descriptive statistics were used to describe the participating LTC facilities, the sample of residents, and residents’ self-reported QoL. Psychometric tests for reliability (test-retest and internal consistency) and validity (content and convergent) were conducted. Bivariate analyses were conducted to examine the relatioships between QoL and resident and facility charateristics. Multivariate linear and logistic regression analyses were conducted to identify predictors of residents’ QoL. Results: The study confirmed the feasibility of assessing LTC facility residents’ self-reported QoL. The findings showed positive ratings of some aspects of residents’ daily lives while negative ratings in other aspects. Psychometric tests showed that the interRAI_QoL Survey instrument had test-retest reliability, internal consistency, content validity and construct (convergent) validity. Several resident and facility characteristics were associated with self-reported QoL. Religiosity and highest education level attained were significantly and positively associated with QoL. Other resident characteristics such as age, gender and marital status were not. Mild cognitive impairment, depression, aggressive behaviour, hearing impairment, bowel and bladder incontinence, and extensive assistance in activities of daily living were significantly but negatively associated with QoL. LTC facility ownership showed significant association with QoL. Residents in municipal LTC facilities followed by private LTC facilities reported higer QoL in contrast to charitable LTC facilities. Profit status, accreditation and leadership stability were not associated with QoL. Residents in rural settings reported significantly higher QoL than those in urban settings. Facility size (measured in number of beds), registered nurse hours of care, nursing staff turnover, and ratios of registered to non-registered nursing staff did not have a significant association with QoL. However, higher management hours and total hours of care had significant and positive associations with residents’ overall QoL. Multiple linear regression showed that residents’ religiosity, degree of social engagement, post secondary education, dependence in activities of daily living, and positive global disposition, and LTC facilities situated in rural settings and ownership type together accounted for 24% (adjusted R2=0.24) of the variance in overall QoL (the dependent variable). In logistic regression, low QoL was used as the binary dependent variable. Residents who were religious, were socially engaged and had a positive global disposition were less likely to report low QoL. In contrast, residents with dependence in activities of daily living and post secondary education were more likely to report low QoL. Residents in LTC facilities located in rural settings and operated by municipal or private operators were less likely to report low QoL compared to charitable facilities. Strengths and Limitations: This study had several strengths, including a sample of 928 residents who self-reported on their QoL and the use of RAI-MDS 2.0 for objective, external indicators of QoL. This study had several limitations, including response bias due to method of sample selection, inability to draw causal inferences due to study design; limited generalizability due to use of a convenience sample, lack of monitoring of surveyors for the integrity of resident interviews, and exclusion of residents with cognitive performance scale scores of more than three or inability to communicate in English. Future research should address these limitations. As well, future research should conduct more stringent psychometric analyses such as factor analysis and use multi-level modeling procedures. Implications: The findings of this study have implications for improving residents’ QoL, LTC facility programming, future research, and social policy development. Conclusion: QoL can be measured from resident self-reports in LTC facilities. Self-reports from residents may be used by clinicians to plan and implement resident-centred care. There are significant associations of residents’ QoL with select resident socio-demographic and clinical characteristics and facility attributes. Some of these resident characteristics and facility attributes may serve as predictors of QoL.