Suchergebnisse

This study examines the health of elderly Korean Canadians in home care and investigates the risk factors for caregiver distress of families caring for their elderly relatives. Korean Canadians, Chinese Canadians, and other Canadian home care clients were compared using the Resident Assessment Instrument–Home Care (RAI-HC). The assessments were done as a part of normal clinical practice between January 2002 and December 2010 within Ontario. A sample of 58,557 home care clients was analyzed using descriptive statistics and chi-square analysis at the bivariate level and multiple logistic regression models. The major finding of the present study is that Korean clients had higher physical impairments and higher prevalence of major chronic diseases, but they were less likely to receive personal support or nursing services. Moreover, the results provide clear evidence of the importance of language barriers for all linguistic minorities, including Korean Canadians.

COVID-19 case was first identified in Canada on January 25, 2020, on a Toronto resident who had travelled to Wuhan China, and not long after, the WHO declared the viral infection a pandemic. Ontario health West created an online self-assessment portal that allowed individuals in the health region and adjourning areas to report any COVID related symptoms. The purpose of this study was to evaluate the utility and usefulness of the Ontario Heath West online COVID-19 self-assessment portal. Record level data obtained from the Ontario Health West self-assessment portal was analyzed. Descriptive statistics using charts and graphs were used to characterize the distribution of responses to the portal. In-depth analysis using correlation, lead-lag analysis, and trend comparison with actual Government of Ontario COVID-19 cases for the region were also conducted. A total of 34,144 distinct responses were recorded on the portal between April 10 and July 29, 2020, with 1,250 (3.7%) responding positively to one of the emergency symptoms questions. Trend analysis showed a peak portal response in May 2020 with a smaller rise subsequently in July 2020, coinciding with the actual COVID-19 peak in the region. The five most reported symptoms on the portal were sore throat (17.2%), headache (12.9%), fatigue (12.3%), digestive problems (12.2%) and cough (9.1%). For four sub-regions, the trend of self-report on the portal positively lagged actual Public Health Ontario reported COVID-19 cases, while for one sub-region, the trend positively led the actual Public Health Ontario reported COVID-19 cases for the area. We found correlation between online COVID-19 self- assessment data and the confirmed COVID-19 cases in the Southwestern region of Ontario. Trends in the COVID-19 associated emergency symptoms reported on the portal also tracked confirmed COVID-19 cases in the community. Peak response to the portal coincided with the peak volume of confirmed cases in Ontario during the first wave of COVID-19 pandemic in Canada, suggesting some ...

Home care is an important service for persons with neurological conditions, but little is known about factors affecting health care costs in this setting. Using administrative data collected with the Resident Assessment Instrument for Home Care (RAI-HC), this study identified factors associated with home care costs for recipients of home care services with Alzheimer disease or related dementias, multiple sclerosis, and/or amyotrophic lateral sclerosis. As part of this study, the effectiveness of the Resource Utilization Groups for Home Care (RUG-III/HC), a case-mix classification system developed for the RAI-HC, in predicting care costs for this population, was also tested. Clinical characteristics indicative of greater disease severity had high levels of significance in predicting home care costs. In particular, the RUG-III/HC was highly predictive of home care costs for 3 neurological conditions, indicating the validity of this case-mix system for this population. With the increasing prevalence of neurological conditions and demand for home care services, future studies should continue to focus on identifying specific predictors care costs for those with neurological conditions in this care setting.

The RUG-III case-mix system is a method of grouping patients in long-term and post-acute care settings. RUG-III groups patients by relative per diem resource consumption and may be used as the basis for prospective payment systems to ensure that facility reimbursement is commensurate with patient acuity. Since RUG-III's development in 1994, more than a dozen international staff time measurement studies have been published to evaluate the utility of the case-mix system in a variety of diverse health care environments around the world. This overview of the literature summarizes the results of these RUG-III validation studies and compares the performance of the algorithm across countries, patient populations, and health care environments. Limitations of the RUG-III validation literature are discussed for the benefit of health system administrators who are considering implementing RUG-III and next-generation resource utilization group case-mix systems.

As mental health care transitions from facility-based care to community-based services, methods to classify patients in terms of their expected health care resource use are an essential tool to balance the health care needs and equitable allocation of health care resources. This study performed a scoping review to summarize the nature, extent, and range of research on case-mix classifications used to predict mental health care resource use in community settings. This study identified 17 eligible studies with 32 case-mix classification systems published since the 1980s. Most of these studies came from the USA Veterans Affairs and Medicare systems, and the most recent studies came from Australia. There were a wide variety of choices of input variables and measures of resource use. However, much of the variance in observed resource use was not accounted for by these case-mix systems. The research activity specific to case-mix classification for community mental health care was modest. More consideration should be given to the appropriateness of the input variables, resource use measure, and evaluation of predictive performance. Future research should take advantage of testing case-mix systems developed in other settings for community mental health care settings, if possible.

Children's mental health care plays a vital role in many social, health care, and education systems, but there is evidence that appropriate targeting strategies are needed to allocate limited mental health care resources effectively. The aim of this study was to develop and validate a methodology for identifying children who require access to more intense facility-based or community resources. Ontario data based on the interRAI Child and Youth Mental Health instruments were analysed to identify predictors of service complexity in children's mental health. The Resource Intensity for Children and Youth (RIChY) algorithm was a good predictor of service complexity in the derivation sample. The algorithm was validated with additional data from 61 agencies. The RIChY algorithm provides a psychometrically sound decision-support tool that may be used to inform the choices related to allocation of children's mental health resources and prioritisation of clients needing community- and facility-based resources.

Abstract  This paper describes the development of the interRAI‐Intellectual Disability (interRAI ID), a comprehensive instrument that assesses all key domains of interest to service providers relative to a person with an intellectual disability (ID). The authors report on the reliability and validity of embedded scales for cognition, self‐care, aggression, and depression. Four provider agencies volunteered to participate and assessed a total of 160 community‐dwelling adults with ID using the interRAI ID, Dementia Questionnaire for Persons with Mental Retardation, and Reiss Screen for Maladaptive Behavior. All scales had acceptable levels of internal consistency (Cronbach's alpha 0.74–0.93) and good relationships with the criterion measures (r = 0.50–0.93, p < 0.0001). The development of the interRAI ID represents an important and successful first step toward an integrated, comprehensive, and standardized assessment of adults with ID. Use of this instrument may lead to more appropriate support planning, enhanced communication between various professionals supporting persons with ID, and a more seamless approach to supports across the health and social service systems.

The COVID-19 pandemic had profound effects on the long-term care (LTC) setting worldwide, including changes in admission practices. We aimed to describe the characteristics and medical complexity of newly admitted LTC residents before (March 1, 2019 to February 29, 2020) and during (March 1, 2020 to March 31, 2021) the COVID-19 pandemic via a population-based serial cross-sectional study in Ontario, Alberta, and British Columbia, Canada. With data from the Minimum Data Set 2.0 we characterize the medical complexity of newly admitted LTC residents via the Geriatric 5Ms framework (mind, mobility, medication, multicomplexity, matters most) through descriptive statistics (counts, percentages), stratified by pandemic wave, month, and province. We included 45 756 residents admitted in the year prior to and 35 744 during the first year of the pandemic. We found an increased proportion of residents with depression, requiring extensive assistance with activities of daily living, hip fractures, antipsychotic use, expected to live <6 months, with pneumonia, low social engagement, and admitted from acute care. Our study confirms an increase in medical complexity of residents admitted to LTC during the pandemic and can be used to plan services and interventions and as a baseline for continued monitoring in changes in population characteristics over time.

Background: Marginalization is a multidimensional social construct that influences the mental health status of individuals and their use of psychiatric services. However, its conceptualization and measurement are challenging due to inconsistencies in definitions, and the lack of standard data sources to measure this construct. Aims: To create an index for screening marginalization based on an existing comprehensive assessment system used in inpatient psychiatry. Method: Items anticipated to be indicative of marginalization were identified from the Resident Assessment Instrument-Mental Health (RAI-MH) that is used in all inpatient mental health beds in Ontario, Canada. Principal Component Analysis (PCA) and cluster analysis of these items was performed on a sample of 81,232 patients admitted into psychiatric care in Ontario between 1 January 2011 and 31 December 2016 to identify dimensions being measured. Various weights and scoring methods were tested to assess convergent validity on multiple outcomes of marginalization. Receiver Operating Characteristic (ROC) curve analysis was utilized to determine optimal cut-offs for the index by modeling the likelihood of different marginalization outcomes, including homelessness. Results: Fifteen items were identified for the development of the Marginalization Index (MI). PCA and cluster analysis identified that the items measured five dimensions. ROC curve analysis among homeless individuals identified an Area Under the Curve of 0.76 and an optimal cut-off of five on the MI. Frequency analysis of the index by different characteristics identified homeless individuals, frequent mental health service users, persons with a history of violence and police intervention, and persons with addictions issues, as groups with the highest scores, confirming the convergent validity of the index. Conclusion: The MI is a valid measure of marginalization and is strong predictor of risk of homelessness among psychiatric inpatients. MI provides a resource that can be used for social and health policy, decision-support and evaluation.

Objective: Long-term care (LTC) homes ("nursing homes") were challenged during the first year of the COVID-19 pandemic in Canada. The objective of this study was to measure the impact of the COVID-19 pandemic on resident admission and discharge rates, resident health attributes, treatments, and quality of care. Design: Synthesis analysis of "Quick Stats" standardized data table reports published yearly by the Canadian Institute for Health Information. These reports are a pan-Canadian scorecard of LTC services rendered, resident health characteristics, and quality indicator performance. Setting and participants: LTC home residents in Alberta, British Columbia, Manitoba, and Ontario, Canada that were assessed with the interRAI Minimum Data Set 2.0 comprehensive health assessment in fiscal years 2018/2019, 2019/2020 (pre-pandemic period), and 2020/2021 (pandemic period). Methods: Risk ratio statistics were calculated to compare admission and discharge rates, validated interRAI clinical summary scale scores, medication, therapy and treatment provision, and seventeen risk-adjusted quality indicator rates from the pandemic period relative to prior fiscal years. Results: Risk of dying in the LTC home was greater in all provinces (risk ratio [RR] range 1.10 to 1.29) during the pandemic. Quality of care worsened substantially on 6 of 17 quality indicators in British Columbia and Ontario, and 2 quality indicators in Manitoba and Alberta. The only quality indicator where performance worsened during the pandemic in all provinces was the percentage of residents that received antipsychotic medications without a diagnosis of psychosis (RR range 1.02 - 1.16). Conclusions and implications: The COVID-19 pandemic has unveiled numerous areas to strengthen LTC and ensure that resident's physical, social, and psychological needs are addressed during public health emergencies. Except an increase in potentially inappropriate antipsychotic use, this provincial-level analysis indicates that most aspects of resident care were maintained during the first year of the COVID-19 pandemic.

Using a standardized assessment instrument, the authors compared 182 adults with congenital deaf-blindness and those with acquired deaf-blindness. They found that those with congenital deaf-blindness were more likely to have impairments in cognition, activities of daily living, and social interactions and were less likely to use speech for communication.