Nursing assistants' use of best practices and pain in older adults living in nursing homes.

BACKGROUND: Inadequate pain management persists in nursing homes. Nursing assistants provide the most direct care in nursing homes, and significantly improving the quality of care requires their adoption of best care practices informed by the best available evidence. We assessed the association between nursing assistants' use of best practices and residents' pain levels. METHODS: We performed a cross-sectional analysis of data collected between September 2019 and February 2020 from a stratified random sample of 87 urban nursing homes in western Canada. We linked administrative data (the Resident Assessment Instrument-Minimum Data Set [RAI-MDS], 2.0) for 10,093 residents and survey data for 3547 nursing assistants (response rate: 74.2%) at the care unit level. Outcome of interest was residents' pain level, measured by the pain scale derived from RAI-MDS, 2.0. The exposure variable was nursing assistants' use of best practices, measured with validated self-report scales and aggregated to the unit level. Two-level random-intercept multinomial logistic regression accounted for the clustering effect of residents within care units. Covariates included resident demographics and clinical characteristics and characteristics of nursing assistants, unit, and nursing home. RESULTS: Of the residents, 3305 (30.3%) were identified as having pain. On resident care units with higher levels of best practice use among nursing assistants, residents had 32% higher odds of having mild pain (odds ratio, 1.32; 95% confidence interval, 1.01-1.71; p = 0.040), compared with residents on care units with lower levels of best practice use among nursing assistants. The care units did not differ in reported moderate or severe pain among residents. CONCLUSIONS: We observed that higher unit-level best practice use among nursing assistants was associated with mild resident pain. This association warrants further research to identify key individual and organizational factors that promote effective pain assessment and management.

Long-Term Care Resident Health and Quality of Care During the COVID-19 Pandemic: A Synthesis Analysis of Canadian Institute for Health Information Data Tables.

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 1.06-1.18) 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 1.01-1.09). 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.

Abuse, Mental State, and Health Factors Pre and during the COVID-19 Pandemic: A Comparison among Clinically Referred Adolescents in Ontario, Canada.

Throughout the COVID-19 pandemic, population surveys revealed increased levels of anxiety and depression, while findings from large-scale population data analyses have revealed mixed findings with respect to the mental health consequences for children and youth. The purpose of this study was to examine the impact of the COVID-19 pandemic on the well-being and health-compromising behaviors of adolescents (12-18 years) previously referred for mental health services. Data were collected (pre-pandemic n = 3712; pandemic n = 3197) from mental health agencies across Ontario, Canada using the interRAI Child and Youth Mental Health assessment. Our findings revealed no increased incidence of witnessing domestic violence nor experiencing physical, sexual, or emotional abuse. Further, there were no increases in the risk of self-harm and suicide, anxiety, or depression among our sample of clinically referred youth. Finally, results demonstrated no increase in problematic videogaming/internet use, disordered eating, or alcohol intoxication, and a decrease in cannabis use. Our findings add to the growing body of knowledge as to the impact of the COVID-19 pandemic on children and youth. Further, findings underscore the importance of understanding the nuanced impact of the pandemic on various subgroups of children, youth, and families and highlight the need for continued monitoring of outcomes for these children and youth.

Predictors of Home Care Costs Among Persons With Dementia, Amyotrophic Lateral Sclerosis, and Multiple Sclerosis in Ontario.

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.

An Overview of International Staff Time Measurement Validation Studies of the RUG-III Case-mix System.

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.

Resource Intensity for Children and Youth: The Development of an Algorithm to Identify High Service Users in Children's Mental Health.

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.

Development and validation of a screener based on interRAI assessments to measure informal caregiver wellbeing in the community.

BACKGROUND: Informal caregivers are invaluable partners of the health care system. However, their caring responsibilities often affect their psychological wellbeing and ability to continue in their role. It is of paramount importance to easily identify caregivers that would benefit from immediate assistance. METHODS: In this nonexperimental cohort study, a cross-sectional analysis was conducted among 362 informal caregivers (mean age 64.1 years, SD ± 13.1) caring for persons with high care needs (mean age 78.6 years, SD ± 15.0). Caregivers were interviewed using an interRAI-based self-reported survey with 82 items covering characteristics of caregivers including key aspects of wellbeing. A factor analysis identified items in the caregiver survey dealing with subjective wellbeing that were compared against other wellbeing measures. A screener, called Caregiver Wellbeing Index (CWBI), consisting of four items with response scores ranging from 0 to 2 was created. The CWBI was validated in a follow-up study in which 1020 screeners were completed by informal caregivers of home care clients. Clinical assessments of the care recipients (n = 262) and information on long-term care home (LTCH) admission (n = 176) were linked to the screener dataset. The association between the CWBI scores and caregiver and care recipient characteristics were assessed using logistic regression models and chi-square tests. The reliability of CWBI was also measured. RESULTS: The CWBI scores ranging from zero to eight were split in four 'wellbeing' levels (excellent, good, fair, poor). In the validation study, fair/poor psychological wellbeing was strongly associated with caregiver reports of inability to continue in their role; conflict with family; or feelings of distress, anger, or depression (P < 0.0001). Caregivers caring for a care recipient that presented changes in behavior, cognition, and mood were more likely to present fair/poor wellbeing (P < 0.0001). Additionally, caregivers with high CWBI scores (poor wellbeing) were also more likely to provide care for someone who was admitted to a LTCH (OR 3.52, CI 1.32-9.34) after controlling for care recipient and caregiver characteristics. The Cronbach alpha value 0.89 indicated high reliability. CONCLUSION: The CWBI is a valid screener that can easily identify caregivers that might benefit from further assessment and interventions.

A before-after study of hospital use in two frail populations receiving different home-based services over the same time in Vancouver, Canada.

BACKGROUND: As individuals age, they are more likely to experience increasing frailty and more frequent use of hospital services. First, we explored whether initiating home-based primary care in a frail homebound cohort, influenced hospital use. Second, we explored whether initiating regular home care support for personal care with usual primary care, in a second somewhat less frail cohort, influenced hospital use. METHODS: This was a before-after retrospective cohort study of two frail populations in Vancouver, Canada using administrative data to assess the influence of two different services started in two different cohorts over the same time period. The participants were 246 recipients of integrated home-based primary care and 492 recipients of home care followed between July 1st, 2008 and June 30th, 2013 before and after starting their respective services. Individuals in each group were linked to their hospital emergency department visit and discharge abstract records. The main outcome measures were mean emergency department visit and hospital admission rates per 1000 patient days for 21 months before versus the period after receipt of services, and the adjusted incidence rate ratios (IRRs) on these outcomes post receipt of service. RESULTS: Before versus after starting integrated home-based primary care, emergency department visit rates per 1000 patient days (95% confidence intervals) were 4.1 (3.8, 4.4) versus 3.7 (3.3, 4.1), and hospital admissions rates were 2.3 (2.1, 2.5) versus 2.2 (1.9, 2.5). Before versus after starting home care, emergency department visit rates per 1000 patient days (95% confidence intervals) were 3.0 (2.8, 3.2) versus 4.0 (3.7, 4.3) visits and hospital admissions rates were 1.3 (1.2, 1.4) versus 1.9 (1.7, 2.1). Home-based primary care IRRs were 0.91 (0.72, 1.15) and 0.99 (0.76, 1.27) and home care IRRs were 1.34 (1.15, 1.56) and 1.46 (1.22, 1.74) for emergency department visits and hospital admissions respectively. CONCLUSIONS: After enrollment in integrated home-based primary care, emergency department visit and hospital admission rates stabilized. After starting home care with usual primary care, emergency department visit and hospital admission rates continued to rise.

How well does the minimum data set measure healthcare use? a validation study.

BACKGROUND: To improve care, planners require accurate information about nursing home (NH) residents and their healthcare use. We evaluated how accurately measures of resident user status and healthcare use were captured in the Minimum Data Set (MDS) versus administrative data. METHODS: This retrospective observational cohort study was conducted on all NH residents (N = 8832) from Winnipeg, Manitoba, Canada, between April 1, 2011 and March 31, 2013. Six study measures exist. NH user status (newly admitted NH residents, those who transferred from one NH to another, and those who died) was measured using both MDS and administrative data. Rates of in-patient hospitalizations, emergency department (ED) visits without subsequent hospitalization, and physician examinations were also measured in each data source. We calculated the sensitivity, specificity, positive and negative predictive values (PPV, NPV), and overall agreement (kappa, κ) of each measure as captured by MDS using administrative data as the reference source. Also for each measure, logistic regression tested if the level of disagreement between data systems was associated with resident age and sex plus NH owner-operator status. RESULTS: MDS accurately identified newly admitted residents (κ = 0.97), those who transferred between NHs (κ = 0.90), and those who died (κ = 0.95). Measures of healthcare use were captured less accurately by MDS, with high levels of both under-reporting and false positives (e.g., for in-patient hospitalizations sensitivity = 0.58, PPV = 0.45), and moderate overall agreement levels (e.g., κ = 0.39 for ED visits). Disagreement was sometimes greater for younger males, and for residents living in for-profit NHs. CONCLUSIONS: MDS can be used as a stand-alone tool to accurately capture basic measures of NH use (admission, transfer, and death), and by proxy NH length of stay. As compared to administrative data, MDS does not accurately capture NH resident healthcare use. Research investigating these and other healthcare transitions by NH residents requires a combination of the MDS and administrative data systems.

A longitudinal study looking at and beyond care recipient health as a predictor of long term care home admission.

BACKGROUND: The unpaid care provided by informal caregivers allows care recipients to live longer in their homes, which often results in fewer unnecessary long term care home (LTCH) admissions. Although the relationship between care recipient's health characteristics and institutionalization is well known, the influence of caregiver distress and caregiving coresidence and relationship on this outcome is less clear. This study examines the association of care recipient care needs, caregiver distress and caregiving coresidence and relationship with care recipient long term care home admission. METHODS: A total of 94,957 resident assessment instruments-home care (RAI-HC), completed between April 01st 2013 and April 01st, 2014 as part of a clinical practice by 14 Local Health Integration Networks (LHINs) in Ontario, Canada, were linked to LTCH admissions within 1 year after completion of the first RAI-HC assessment. Cox models were used to examine whether care recipient health care needs, caregiver distress and caregiving characteristics such as coresidence and relationship were associated with LTCH admission. Age, marital status and gender of the care recipient were included as covariates in the model. RESULTS: Care recipient health care needs and age were the strongest predictors of LTCH admission followed by caregiver distress and caregiving coresidence and relationship. Care recipient marital status was not significant in the survival model. Interestingly, care recipients who were cared for by a coresiding adult child caregiver were less likely to be admitted to a LTCH than care recipients cared for by a spouse caregiver coresiding or not with care recipient. Hazard rates (HR) of admission for care recipients cared for by caregivers coresiding and with other type of relationship with care recipient were not significantly different than HR of care recipients cared for by coresiding child caregivers. CONCLUSIONS: These results emphasize the influence of caregiver distress in LTCH admission and highlight the impact of caregiving relationship and coresidence on this outcome. Policy and decision makers should consider these findings when developing and evaluating interventions aiming to avoid LTCH admissions. Moreover, caregiving coresidence and relationship should be explored in future studies with similar aims, as this information has been neglected in past research.

Validation of the interRAI Pressure Ulcer Risk Scale in Acute Care Hospitals.

OBJECTIVES: To validate the Pressure Ulcer Risk Scale (PURS) to screen for pressure ulcer (PU) outcomes in the acute hospital setting. DESIGN: Secondary data analysis was undertaken using a combined dataset from three prospective cohort studies. SETTING: General medical, surgical, and orthopedic wards in 11 hospitals in two states of Australia. PARTICIPANTS: Individuals aged 70 and older admitted to the hospital for longer than 48 hours from July 2005 to May 2010 (N = 1418). Individuals in coronary or intensive care units, palliative care, or transferred out of the ward within 24 hours were excluded. MEASUREMENTS: Trained nurses used the international Resident Assessment Instrument (interRAI) Acute Care (AC) assessment tool to collect data at admission and discharge. Adverse outcomes were documented on daily ward visits. The PURS was calculated from interRAI items, and its association with PU outcomes was tested using the c-statistic (area under the receiver operator characteristic curve). RESULTS: Complete data were available for 1,371 (96.7%) participants, 85 of whom (6.2%) had a PU at admission. Of the 1,286 without PUs at admission, 42 (3.3%) developed a new PU during their hospital stay. The association between PURS and outcomes had a c-statistic of 0.81 (standard error (SE) 0.02) for prevalent ulcers at admission and 0.70 (SE 0.04) for incidence of new PUs. CONCLUSION: When derived from the interRAI AC tool, the PURS demonstrated good to strong ability to screen for PU outcome in acute care. Assessment burden is reduced without loss of fidelity by integrating the risk scale into an existing assessment system.

Informal caregivers of clients with neurological conditions: profiles, patterns and risk factors for distress from a home care prevalence study.

BACKGROUND: Individuals living in the community with neurological conditions receive the majority of their care from informal caregivers. The purpose of this project was to provide a profile of caregivers of home care clients with neurological conditions. The study also examined prevalence of caregiver distress and the association between neurological conditions and other client and caregiver characteristics with distress. METHODS: The study population included Canadian home care clients in the Winnipeg Regional Health Authority in Manitoba and in the province of Ontario. Clients with RAI-Home Care (RAI-HC) assessment data from 2003 to 2010 were examined. Neurological conditions of interest included Alzheimer's disease and related dementias, multiple sclerosis, amyotrophic lateral sclerosis, Parkinson's disease, Huntington disease, epilepsy, muscular dystrophy, cerebral palsy, traumatic brain injury, spinal cord injury, and stroke. Descriptive statistics were analyzed to describe home care client characteristics and caregiver characteristics for each neurological condition. Logistic regression analysis was used to identify risk factors associated with caregiver distress. RESULTS: A substantial proportion of home care clients were found to have one or more of the neurological conditions (38.8% to 41.9%). Caregiver distress was twice as prevalent among caregivers of clients with neurological conditions (28.0%). The largest associations with caregiver distress were the amount of informal care hours provided in a week and the MAPLe algorithm, an indicator of a client's level of priority for care. After adjustment for client characteristics, Huntington disease was the neurological condition most strongly associated with caregiver distress. However, clients' clinical characteristics and informal care hours had a stronger association with caregiver distress than the presence of a neurological condition. Provision of formal home care services provided a protective effect from caregiver distress. CONCLUSIONS: Neurological conditions are common among home care clients and a significant proportion of informal caregivers providing care to these clients experience distress. The complexity of clients with neurological conditions suggests the need for multicomponent support strategies for informal caregivers.

Facility versus unit level reporting of quality indicators in nursing homes when performance monitoring is the goal.

OBJECTIVES: To demonstrate the benefit of defining operational management units in nursing homes and computing quality indicators on these units as well as on the whole facility. DESIGN: Calculation of adjusted Resident Assessment Instrument - Minimum Data Set 2.0 (RAI-MDS 2.0) quality indicators for: PRU05 (prevalence of residents with a stage 2-4 pressure ulcer), PAI0X (prevalence of residents with pain) and DRG01 (prevalence of residents receiving an antipsychotic with no diagnosis of psychosis), for quarterly assessments between 2007 and 2011 at unit and facility levels. Comparisons of these risk-adjusted quality indicators using statistical process control (control charts). SETTING: A representative sample of 30 urban nursing homes in the three Canadian Prairie Provinces. MEASUREMENTS: Explicit decision rules were developed and tested to determine whether the control charts demonstrated improving, worsening, unchanging or unclassifiable trends over the time period. Unit and facility performance were compared. RESULTS: In 48.9% of the units studied, unit control chart performance indicated different changes in quality over the reporting period than did the facility chart. Examples are provided to illustrate that these differences lead to quite different quality interventions. CONCLUSIONS: Our results demonstrate the necessity of considering facility-level and unit-level measurement when calculating quality indicators derived from the RAI-MDS 2.0 data, and quite probably from any RAI measures.

Adverse events associated with hospitalization or detected through the RAI-HC assessment among Canadian home care clients.

BACKGROUND: The occurrence of adverse events (AEs) in care settings is a patient safety concern that has significant consequences across healthcare systems. Patient safety problems have been well documented in acute care settings; however, similar data for clients in home care (HC) settings in Canada are limited. The purpose of this Canadian study was to investigate AEs in HC, specifically those associated with hospitalization or detected through the Resident Assessment Instrument for Home Care (RAI-HC). METHOD: A retrospective cohort design was used. The cohort consisted of HC clients from the provinces of Nova Scotia, Ontario, British Columbia and the Winnipeg Regional Health Authority. RESULTS: The overall incidence rate of AEs associated with hospitalization ranged from 6% to 9%. The incidence rate of AEs determined from the RAI-HC was 4%. Injurious falls, injuries from other than fall and medication-related events were the most frequent AEs associated with hospitalization, whereas new caregiver distress was the most frequent AE identified through the RAI-HC. CONCLUSION: The incidence of AEs from all sources of data ranged from 4% to 9%. More resources are needed to target strategies for addressing safety risks in HC in a broader context. Tools such as the RAI-HC and its Clinical Assessment Protocols, already available in Canada, could be very useful in the assessment and management of HC clients who are at safety risk.

A profile of residents in prairie nursing homes.

Nursing homes have become complex care environments where residents have significant needs and most have age-related dementia. Building on research by Hirdes et al. (2011), we describe a resident profile in a representative sample of 30 urban nursing homes in the prairie provinces using Resident Assessment Instrument ­ Minimum Data Set 2.0 data from 5,196 resident assessments completed between 1 October 2007 and 31 December 2011. Residents were chiefly over age 85, female, and with an age-related dementia. We compared facility support and related services and resident characteristics by province, owner-operator model, and number of facility units. We observed differences in support and related services by both unit count and province. We also found that public facilities tend to care for residents with more demanding characteristics: notably cognitive impairment, aggressive behaviours, and incontinence. No clear trends associating the number of units in a facility with resident characteristics were observed.

Adverse events among Ontario home care clients associated with emergency room visit or hospitalization: a retrospective cohort study.

BACKGROUND: Home care (HC) is a critical component of the ongoing restructuring of healthcare in Canada. It impacts three dimensions of healthcare delivery: primary healthcare, chronic disease management, and aging at home strategies. The purpose of our study is to investigate a significant safety dimension of HC, the occurrence of adverse events and their related outcomes. The study reports on the incidence of HC adverse events, the magnitude of the events, the types of events that occur, and the consequences experienced by HC clients in the province of Ontario. METHODS: A retrospective cohort design was used, utilizing comprehensive secondary databases available for Ontario HC clients from the years 2008 and 2009. The data were derived from the Canadian Home Care Reporting System, the Hospital Discharge Abstract Database, the National Ambulatory Care Reporting System, the Ontario Mental Health Reporting System, and the Continuing Care Reporting System. Descriptive analysis was used to identify the type and frequency of the adverse events recorded and the consequences of the events. Logistic regression analysis was used to examine the association between the events and their consequences. RESULTS: The study found that the incident rate for adverse events for the HC clients included in the cohort was 13%. The most frequent adverse events identified in the databases were injurious falls, injuries from other than a fall, and medication-related incidents. With respect to outcomes, we determined that an injurious fall was associated with a significant increase in the odds of a client requiring long-term-care facility admission and of client death. We further determined that three types of events, delirium, sepsis, and medication-related incidents were associated directly with an increase in the odds of client death. CONCLUSIONS: Our study concludes that 13% of clients in homecare experience an adverse event annually. We also determined that an injurious fall was the most frequent of the adverse events and was associated with increased admission to long-term care or death. We recommend the use of tools that are presently available in Canada, such as the Resident Assessment Instrument and its Clinical Assessment Protocols, for assessing and mitigating the risk of an adverse event occurring.

An evaluation of data quality in Canada's Continuing Care Reporting System (CCRS): secondary analyses of Ontario data submitted between 1996 and 2011.

BACKGROUND: Evidence informed decision making in health policy development and clinical practice depends on the availability of valid and reliable data. The introduction of interRAI assessment systems in many countries has provided valuable new information that can be used to support case mix based payment systems, quality monitoring, outcome measurement and care planning. The Continuing Care Reporting System (CCRS) managed by the Canadian Institute for Health Information has served as a data repository supporting national implementation of the Resident Assessment Instrument (RAI 2.0) in Canada for more than 15 years. The present paper aims to evaluate data quality for the CCRS using an approach that may be generalizable to comparable data holdings internationally. METHODS: Data from the RAI 2.0 implementation in Complex Continuing Care (CCC) hospitals/units and Long Term Care (LTC) homes in Ontario were analyzed using various statistical techniques that provide evidence for trends in validity, reliability, and population attributes. Time series comparisons included evaluations of scale reliability, patterns of associations between items and scales that provide evidence about convergent validity, and measures of changes in population characteristics over time. RESULTS: Data quality with respect to reliability, validity, completeness and freedom from logical coding errors was consistently high for the CCRS in both CCC and LTC settings. The addition of logic checks further improved data quality in both settings. The only notable change of concern was a substantial inflation in the percentage of long term care home residents qualifying for the Special Rehabilitation level of the Resource Utilization Groups (RUG-III) case mix system after the adoption of that system as part of the payment system for LTC. CONCLUSIONS: The CCRS provides a robust, high quality data source that may be used to inform policy, clinical practice and service delivery in Ontario. Only one area of concern was noted, and the statistical techniques employed here may be readily used to target organizations with data quality problems in that (or any other) area. There was also evidence that data quality was good in both CCC and LTC settings from the outset of implementation, meaning data may be used from the entire time series. The methods employed here may continue to be used to monitor data quality in this province over time and they provide a benchmark for comparisons with other jurisdictions implementing the RAI 2.0 in similar populations.

Decision makers' allocation of home-care therapy services: a process map.

PURPOSE: To explore decision-making processes currently used in allocating occupational and physical therapy services in home care for complex long-stay clients in Ontario. METHOD: An exploratory study using key-informant interviews and client vignettes was conducted with home-care decision makers (case managers and directors) from four home-care regions in Ontario. The interview data were analyzed using the framework analysis method. RESULTS: The decision-making process for allocating therapy services has four stages: intake, assessment, referral to service provider, and reassessment. There are variations in the management processes deployed at each stage. The major variation is in the process of determining the volume of therapy services across home-care regions, primarily as a result of financial constraints affecting the home-care programme. Government funding methods and methods of information sharing also significantly affect home-care therapy allocation. CONCLUSION: Financial constraints in home care are the primary contextual factor affecting allocation of therapy services across home-care regions. Given the inflation of health care costs, new models of funding and service delivery need to be developed to ensure that the right person receives the right care before deteriorating and requiring more costly long-term care.

Objectif : Explorer les mécanismes actuels de prise de décision en matière de répartition des services de physiothérapie et d'ergothérapie dans les soins à domicile pour les clients aux besoins complexes nécessitant des soins à domicile à long terme en Ontario. Méthode : Une étude exploratoire à l'aide d'entrevues auprès d'intervenants clés et de vignettes a été réalisée auprès des décideurs en matière de soins à domicile (gestionnaires de cas et personnel de direction) dans quatre régions de soins à domicile de l'Ontario. Les données des entrevues ont été analysées à l'aide d'une méthode dite de « l'analyse des structures ¼. Résultats : La prise de décision pour la répartition des services de thérapie comporte quatre étapes: admission, évaluation, acheminement vers le fournisseur de services et réévaluation. Certaines disparités dans les processus de gestion ont toutefois été observées à chacune des étapes. La principale variation se situait dans le processus visant à établir la quantité de services de thérapie dans les diverses régions, en raison principalement des contraintes financières touchant les programmes de soins à domicile. La méthode de financement du gouvernement et les modes de partage de l'information ont aussi des effets considérables sur la répartition des soins à domicile. Conclusion : Les contraintes financières des soins à domicile constituent le principal facteur contextuel affectant la répartition des services de thérapie dans les divers secteurs de soins à domicile. Compte tenu de l'inflation dans les coûts des soins de santé, de nouveaux modèles de financement et de prestation des services devront être créés afin de s'assurer que la bonne personne reçoit les bons soins avant que son état ne se détériore et qu'il ne nécessite des soins à long terme encore plus coûteux.

Predicting heart failure mortality in frail seniors: comparing the NYHA functional classification with the Resident Assessment Instrument (RAI) 2.0.

BACKGROUND: Though the NYHA functional classification is recommended in clinical settings, concerns have been raised about its reliability particularly among older patients. The RAI 2.0 is a comprehensive assessment system specifically developed for frail seniors. We hypothesized that a prognostic model for heart failure (HF) developed from the RAI 2.0 would be superior to the NYHA classification. The purpose of this study was to determine whether a HF-specific prognostic model based on the RAI 2.0 is superior to the NYHA functional classification in predicting mortality in frail older HF patients. METHODS: Secondary analysis of data from a prospective cohort study of a HF education program for care providers in long-term care and retirement homes. Univariate analyses identified RAI 2.0 variables predicting death at 6 months. These and the NYHA classification were used to develop logistic models. RESULTS: Two RAI 2.0 models were derived. The first includes six items: "weight gain of 5% or more of total body weight over 30 days", "leaving 25% or more food uneaten", "unable to lie flat", "unstable cognitive, ADL, moods, or behavioural patterns", "change in cognitive function" and "needing help to walk in room"; the C statistic was 0.866. The second includes the CHESS health instability scale and the item "requiring help walking in room"; the C statistic was 0.838. The C statistic for the NYHA scale was 0.686. CONCLUSIONS: These results suggest that data from the RAI 2.0, an instrument for comprehensive assessment of frail seniors, can better predict mortality than the NYHA classification.