Functional Decline in Long-Term Care Homes in the First Wave of the COVID-19 Pandemic: A Population-based Longitudinal Study in Five Canadian Provinces.

OBJECTIVE: We aimed to examine whether functional decline accelerated during the first wave of the COVID-19 pandemic (March to June 2020) for persons in long-term care facilities (LTCs) in Canada compared with the pre-pandemic period. DESIGN: We conducted a population-based longitudinal study of persons receiving care in LTC homes in 5 Canadian provinces before and during the COVID-19 pandemic. SETTING AND PARTICIPANTS: Residents in 1326 LTC homes within the Canadian provinces of Alberta, British Columbia, Manitoba, Newfoundland & Labrador, and Ontario between January 31, 2019, and June 30, 2020, with activities of daily living Hierarchy scale less than 6 and so, who still have potential for decline (6 being the worst of the 0-6 scale). METHODS: We fit a generalized estimating equation model with adjustment for repeated measures to obtain the adjusted odds of functional decline between COVID period exposed and unexposed pre-pandemic residents. RESULTS: LTC residents experienced slightly higher rates of functional decline during the first wave of the COVD-19 pandemic compared with the pre-pandemic period (23.3% vs 22.3%; P < .0001). The adjusted odds of functional decline were slightly greater during the pandemic (odds ratio [OR], 1.17; 95% CI, 1.15-1.20). Likewise, residents receiving care in large homes (OR, 1.20; 95% CI, 1.17-1.24) and urban-located LTC homes (OR, 1.20; 95% CI, 1.17-1.23), were more likely to experience functional decline during the COVID-19 pandemic. The odds of functional decline were also only significantly higher during the pandemic for LTC home residents in British Columbia (OR, 1.17; 95% CI, 1.11-1.23) and Ontario (OR, 1.25; 95% CI, 1.21-1.29). CONCLUSIONS AND IMPLICATIONS: This study provides evidence that the odds of experiencing functional decline were somewhat greater during the first wave of the COVID-19 pandemic. It highlights the need to maintain physical activity and improve nutrition among older adults during periods of stress. The information would be helpful to health administrators and decision-makers seeking to understand how the COVID-19 pandemic and associated public health measures affected LTC residents' health outcomes.

Predictors of improvement in urinary incontinence in the postacute setting: A Canadian cohort study.

PURPOSE: To determine factors associated with improvement in urinary incontinence (UI) for long-stay postacute, complex continuing care (CCC) patients. DESIGN: A retrospective cohort investigation of patients in a CCC setting using data obtained from the Canadian Institute for Health Information's Continuing Care Reporting System collected with interRAI Minimum Data Set 2.0. SETTING AND PARTICIPANTS: Individuals aged 18 years and older, were admitted to CCC hospitals in Ontario, Canada, between 2010 and 2018. METHODS: Multivariable logistic regression was used to determine the independent effects of predictors on UI improvement, for patients who were somewhat or completely incontinent on admission and therefore had the potential for improvement. RESULTS: The study cohort consisted of 18 584 patients, 74% (13 779) of which were somewhat or completely incontinent upon admission. Among those patients with potential for improvement, receiving bladder training, starting a new medication 90 days prior (odds ratio, OR: 1.54 [95% confidence interval, CI: 1.36-1.75]), and triggering the interRAI Urinary Incontinence Clinical Assessment Protocol to facilitate improvement (OR: 1.36 [95% CI: 1.08-1.71]) or to prevent decline (OR: 1.32 [95% CI: 1.13-1.53]) were the strongest predictors of improvement. Conversely, being totally dependent on others for transfer (OR: 0.62 [95% CI: 0.42-0.92]), is rarely or never understood (OR: 0.65 [95% CI: 0.50-0.85]), having a major comorbidity count of ≥3 (OR: 0.72 [95% CI: 0.59-0.88]), Parkinson's disease, OR: 0.77 (95% CI: 0.62-0.95), Alzheimer/other dementia, OR: 0.83 (95% CI: 0.74-0.93), and respiratory infections, OR: 0.57 (95% CI: 0.39-0.85) independently predicted less likelihood of improvement in UI. CONCLUSIONS AND IMPLICATIONS: Findings of this study suggest that improving physical function, including bed mobility, and providing bladder retraining have strong positive impacts on improvement in UI for postacute care patients. Evidence generated from this study provides useful care planning information for care providers in identifying patients and targeting the care that may lead to better success with the management of UI.

Changes in Urinary Continence After Admission to a Complex Care Setting: A Multistate Transition Model.

OBJECTIVES: To examine changes in urinary continence for post-acute, Complex Continuing Care hospital patients from time of admission to short-term follow-up, either in hospital or after discharge to long-term care or home with services. DESIGN: Retrospective cohort study of patients in Complex Continuing Care hospitals using clinical data collected with interRAI Minimum Data Set 2.0 and interRAI Resident Assessment Instrument Home Care. SETTING AND PARTICIPANTS: Adults aged 18 years and older, admitted to Complex Continuing Care hospitals in Ontario, Canada, between 2009 and 2015 (n = 78,913). METHODS: A multistate transition model was used to characterize the association between patient characteristics measured at admission and changes in urinary continence state transitions (continent, sometimes continent, and incontinent) between admission and follow-up. RESULTS: The cohort included 27,896 patients. At admission, 9583 (34.3%) patients belonged to the continent state, 6441 (23.09%) patients belonged to the sometimes incontinent state, and the remaining 11,872 (42.6%) patients belonged to the incontinent state. For patients who were continent at admission, the majority (62.7%) remained continent at follow-up. However, nearly a quarter (23.9%) transitioned to the sometimes continent state, and an additional 13.4% became incontinent at follow-up. Several factors were associated with continence state transitions, including cognitive impairment, rehabilitation potential, stroke, Parkinson's disease, Alzheimer's disease and related dementias, and hip fracture. CONCLUSIONS AND IMPLICATIONS: This study suggests that urinary incontinence is a prevalent problem for Complex Continuing Care hospital patients and multiple factors are associated with continence state transitions. Standardized assessment of urinary incontinence is helpful in this setting to identify patients in need of further assessment and patient-centered intervention and as a quality improvement metric to examine changes in continence from admission to discharge.

Examining the Effect of the First Wave of the COVID-19 Pandemic on Home Care Recipients' Instrumental Activities of Daily Living Capacity.

OBJECTIVE: To examine the effect of the pandemic on, and factors associated with, change in home care (HC) recipients' capacity for instrumental activities of daily living. DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: HC recipients in Ontario, Canada, between September 1, 2018, and August 31, 2020, who were not totally dependent on others and not severely cognitively impaired at baseline. METHODS: Data were collected with the interRAI Home Care assessment. Outcomes of interest were declines in instrumental activities of daily living. Factors hypothesized to be associated with declining function were entered as independent variables into multivariable generalized estimating equations, and results were expressed as odds ratios (ORs) with 95% confidence intervals (CIs). Those significant at P < .01 were retained in the final models. RESULTS: There were 6786 and 5019 HC recipients in the comparison and pandemic samples, respectively. Between baseline and follow-up for the 2 groups, 34.1% and 42.1% of HC recipients declined in shopping, whereas 25.2% and 30.5% declined in transportation capacity in the comparison and pandemic sample, respectively. For shopping, those with cognitive impairment (OR 0.83, 95% CI 0.76-0.89) and receiving formal care (OR 0.72, 95% CI 0.62-0.85) were less likely to decline, whereas those who were older (OR 1.91, 95% CI 1.69-2.16) and had unstable health (OR 1.31, 95% CI 1.16-1.48) were more likely. For transportation, those receiving informal (OR 0.71, 95% CI 0.61-0.81) or formal care (OR 0.56, 95% CI 0.47-0.67) were less likely to decline, whereas those who were older (OR 1.81, 95% CI 1.58-2.07) and had unstable health (OR 1.35, 95% CI 1.119-1.54) were more likely. CONCLUSIONS AND IMPLICATIONS: The pandemic was associated with a decline in HC recipients' capacity for shopping and transportation. HC recipients who are older and have unstable health may benefit from preventive strategies.

Social Engagement and Distress Among Home Care Recipients During the COVID-19 Pandemic in Ontario, Canada: A Retrospective Cohort Study.

OBJECTIVES: To examine factors associated with distressing social decline and withdrawal during the COVID-19 pandemic for home care recipients. DESIGN: Retrospective cohort. SETTING AND PARTICIPANTS: Home care recipients age 18 years or older in Ontario, Canada without severe cognitive impairment with an assessment and follow-up between September 1, 2018 and August 31, 2020. METHODS: Data were collected using the interRAI home care. Outcomes of interest were distressing decline in social participation and social withdrawal. Independent variables were entered into multivariable longitudinal generalized estimating equations. Interaction terms with the pandemic were tested. Those significant at P < .01 were retained in final models and reported as odds ratios (ORs), 95% confidence intervals (CIs). RESULTS: We compared 26,492 and 19,126 home care recipients before and during the pandemic, respectively. The pandemic was associated with greater odds of experiencing distressing social decline (OR 1.28, 95% CI 1.22‒1.34) and withdrawal (OR 1.09, 95% CI 1.04‒1.15). Living alone (OR 1.13, 95% CI 1.05‒1.22), frailty (OR 3.21, 95% CI 2.76‒3.73), health instability (OR 2.22, 95% CI 2.02‒2.44), and depression (OR 2.14, 95% CI 2.01‒2.29) increased the odds of distressing social decline. Older age (OR 0.71, 95% CI 0.65‒0.77), functional impairment (OR 0.58, 95% CI 0.51‒0.67), and receiving caregiving (OR 0.73, 95% CI 0.67‒0.79) decreased the odds. Home care recipients with mild/moderate dementia were less likely to experience distressing social decline during the pandemic. Those who lived alone were more likely. Frailty (OR 9.49, 95% CI 7.69‒11.71) and depression (OR 2.76, 95% CI 2.55‒3.00) increased the odds of social withdrawal. Functional impairment (OR 0.32, 95% CI 0.27‒0.39), congestive heart failure (OR 0.77, 95% CI 0.70‒0.84), and receiving caregiving (OR 0.50, 95% CI 0.46‒0.55) decreased the odds. Home care recipients age 18‒64 years and older than 75 years were less likely to experience social withdrawal during the pandemic. CONCLUSIONS AND IMPLICATIONS: Social support interventions should focus on supporting those living alone, with frailty, health instability, or depression.

Interactive Visualization Applications in Population Health and Health Services Research: Systematic Scoping Review.

BACKGROUND: Simple visualizations in health research data, such as scatter plots, heat maps, and bar charts, typically present relationships between 2 variables. Interactive visualization methods allow for multiple related facets such as numerous risk factors to be studied simultaneously, leading to data insights through exploring trends and patterns from complex big health care data. The technique presents a powerful tool that can be used in combination with statistical analysis for knowledge discovery, hypothesis generation and testing, and decision support. OBJECTIVE: The primary objective of this scoping review is to describe and summarize the evidence of interactive visualization applications, methods, and tools being used in population health and health services research (HSR) and their subdomains in the last 15 years, from January 1, 2005, to March 30, 2019. Our secondary objective is to describe the use cases, metrics, frameworks used, settings, target audience, goals, and co-design of applications. METHODS: We adapted standard scoping review guidelines with a peer-reviewed search strategy: 2 independent researchers at each stage of screening and abstraction, with a third independent researcher to arbitrate conflicts and validate findings. A comprehensive abstraction platform was built to capture the data from diverse bodies of literature, primarily from the computer science and health care sectors. After screening 11,310 articles, we present findings from 56 applications from interrelated areas of population health and HSR, as well as their subdomains such as epidemiologic surveillance, health resource planning, access, and use and costs among diverse clinical and demographic populations. RESULTS: In this companion review to our earlier systematic synthesis of the literature on visual analytics applications, we present findings in 6 major themes of interactive visualization applications developed for 8 major problem categories. We found a wide application of interactive visualization methods, the major ones being epidemiologic surveillance for infectious disease, resource planning, health service monitoring and quality, and studying medication use patterns. The data sources included mostly secondary administrative and electronic medical record data. In addition, at least two-thirds of the applications involved participatory co-design approaches while introducing a distinct category, embedded research, within co-design initiatives. These applications were in response to an identified need for data-driven insights into knowledge generation and decision support. We further discuss the opportunities stemming from the use of interactive visualization methods in studying global health; inequities, including social determinants of health; and other related areas. We also allude to the challenges in the uptake of these methods. CONCLUSIONS: Visualization in health has strong historical roots, with an upward trend in the use of these methods in population health and HSR. Such applications are being fast used by academic and health care agencies for knowledge discovery, hypotheses generation, and decision support. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/14019.

Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping Review.

BACKGROUND: Visual analytics (VA) promotes the understanding of data with visual, interactive techniques, using analytic and visual engines. The analytic engine includes automated techniques, whereas common visual outputs include flow maps and spatiotemporal hot spots. OBJECTIVE: This scoping review aims to address a gap in the literature, with the specific objective to synthesize literature on the use of VA tools, techniques, and frameworks in interrelated health care areas of population health and health services research (HSR). METHODS: Using the 2018 PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, the review focuses on peer-reviewed journal articles and full conference papers from 2005 to March 2019. Two researchers were involved at each step, and another researcher arbitrated disagreements. A comprehensive abstraction platform captured data from diverse bodies of the literature, primarily from the computer and health sciences. RESULTS: After screening 11,310 articles, findings from 55 articles were synthesized under the major headings of visual and analytic engines, visual presentation characteristics, tools used and their capabilities, application to health care areas, data types and sources, VA frameworks, frameworks used for VA applications, availability and innovation, and co-design initiatives. We found extensive application of VA methods used in areas of epidemiology, surveillance and modeling, health services access, use, and cost analyses. All articles included a distinct analytic and visualization engine, with varying levels of detail provided. Most tools were prototypes, with 5 in use at the time of publication. Seven articles presented methodological frameworks. Toward consistent reporting, we present a checklist, with an expanded definition for VA applications in health care, to assist researchers in sharing research for greater replicability. We summarized the results in a Tableau dashboard. CONCLUSIONS: With the increasing availability and generation of big health care data, VA is a fast-growing method applied to complex health care data. What makes VA innovative is its capability to process multiple, varied data sources to demonstrate trends and patterns for exploratory analysis, leading to knowledge generation and decision support. This is the first review to bridge a critical gap in the literature on VA methods applied to the areas of population health and HSR, which further indicates possible avenues for the adoption of these methods in the future. This review is especially important in the wake of COVID-19 surveillance and response initiatives, where many VA products have taken center stage. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/14019.

Frailty Index Status of Canadian Home Care Clients Improves With Exercise Therapy and Declines in the Presence of Polypharmacy.

OBJECTIVE: This study aimed to investigate if exercise therapy and polypharmacy was associated with frailty state transitions for home care service recipients. DESIGN: Longitudinal cohort-study using client-level health information collected using interRAI home care (RAI-HC) assessments. SETTING: Population-based study with Canadian home care clients in Alberta, British Columbia, Ontario and the Yukon. PARTICIPANTS: Home care clients aged 65 years and older. METHODS: A Markov chain multistate transition logistic regression model was used to calculate ORs for state transitions with exercise therapy and polypharmacy as independent variables. RESULTS: In total, 250,428 home care clients experiencing 402,005 frailty state transitions were included in the analyses. At baseline, 39.4% of clients were categorized as nonfrail, 30.2% were categorized as prefrail, and 30.4% were categorized as frail. Nonfrail clients using polypharmacy were more likely to become prefrail (OR 1.16) and frail (OR 1.11). Pre-frail clients using polypharmacy were more likely to become frail (OR 1.06), and they were less likely to become nonfrail (OR 0.80). Frail clients using polypharmacy were significantly less likely to become prefrail (OR 0.82) or nonfrail (OR 0.62). Nonfrail clients who participated in exercise therapy were more likely to become prefrail (OR 1.05). Prefrail clients who participated in exercise therapy were more likely to become nonfrail (OR 1.26). Frail clients who participated in exercise therapy were more likely to become nonfrail (OR 1.27) and prefrail (OR 1.12). CONCLUSIONS AND IMPLICATIONS: This study suggests that frailty among home care clients can be reversed. Frailty state improvement occurred significantly more often among home care clients receiving exercise therapy and significantly less often among clients with polypharmacy.

The Post-Acute Delayed Discharge Risk Scale: Derivation and Validation With Ontario Alternate Level of Care Patients in Ontario Complex Continuing Care Hospitals.

OBJECTIVES: To describe and validate the Post-acute Delayed Discharge Risk Scale (PADDRS), which classifies patients by risk of delayed discharge on admission to post-acute care settings using information collected with the interRAI Minimum Data Set (MDS) 2.0 assessment. DESIGN: Retrospective cohort study of individuals admitted to Ontario Complex Continuing Care (CCC) hospitals. Person-level linkage between interRAI MDS 2.0 assessments and Cancer Care Ontario Wait Time Information System records was performed. SETTING AND PARTICIPANTS: Sample of 30,657 patients who received care in an Ontario CCC hospital and were assessed with the interRAI MDS 2.0 assessment between January 1, 2010, and March 31, 2013. MEASURES: Alternate Level of Care (ALC) designation of 30 or more days was used as the marker of delayed discharge. Scale validation was performed through computation of class-level effect sizes and receiver operating characteristic curves for each of Ontario's geographic health regions. Additionally, Clinical Assessment Protocol (CAP) decision-support tool trigger rates by PADDRS risk level were computed for problem areas that are clinically relevant with the delayed discharge outcome. RESULTS: Overall, 9.4% of the sample experienced the delayed discharge outcome. The PADDRS algorithm achieved an overall area under the curve (AUC) statistic of 0.74, which indicates good discriminatory ability for predicting delayed discharge. PADDRS is generalizable across geographic regions, with AUC statistics ranging between 0.61 and 0.81 across each of Ontario's 14 Local Health Integration Networks. PADDRS demonstrated strong concurrent validity, as the percentage of patients triggering CAPs increased with the risk of delayed discharge. CONCLUSIONS AND IMPLICATIONS: PADDRS combines numerous important clinical factors associated with delayed discharge from a post-acute hospital into a cohesive decision-support tool for use by discharge planners. In addition to early identification of patients who are most likely to experience delayed discharge, PADDRS has applications in risk-adjusted quality measurement of discharge planning efficiency.

Clinical predictors of protracted length of stay in Ontario Complex Continuing Care hospitals.

BACKGROUND: Post-acute care hospitals are often subject to patient flow pressures because of their intermediary position along the continuum of care between acute care hospitals and community care or residential long-term care settings. The purpose of this study was to identify patient attributes associated with a prolonged length of stay in Complex Continuing Care hospitals. METHODS: Using information collected using the interRAI Resident Assessment Instrument Minimum Data Set 2.0 (MDS 2.0), a sample of 91,113 episodes of care for patients admitted to Complex Continuing Care hospitals between March 31, 2001 and March 31, 2013 was established. All patients in the sample were either discharged to a residential long-term care facility (e.g., nursing home) or to the community. Long-stay patients for each discharge destination were identified based on a length of stay in the 95th percentile. A series of multivariate logistic regression models predicting long-stay patient status for each discharge destination pathway were fit to characterize the association between demographic factors, residential history, health severity measures, and service utilization on prolonged length of stay in post-acute care. RESULTS: Risk factors for prolonged length of stay in the adjusted models included functional and cognitive impairment, greater pressure ulcer risk, paralysis, antibiotic resistant and HIV infection need for a feeding tube, dialysis, tracheostomy, ventilator or a respirator, and psychological therapy. Protective factors included advanced age, medical instability, a greater number of recent hospital and emergency department visits, cancer diagnosis, pneumonia, unsteady gait, a desire to return to the community, and a support person who is positive towards discharge. Aggressive behaviour was only a risk factor for patients discharged to residential long-term care facilities. Cancer diagnosis, antibiotic resistant and HIV infection, and pneumonia were only significant factors for patients discharged to the community. CONCLUSIONS: This study identified several patient attributes and process of care variables that are predictors of prolonged length of stay in post-acute care hospitals. This is valuable information for care planners and health system administrators working to improve patient flow in Complex Continuing Care and other post-acute care settings such as skilled nursing and inpatient rehabilitation facilities.

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.

Evaluation of a staff training programme to reimplement a comprehensive health assessment.

BACKGROUND: Health information systems with applications in patient care planning and decision support depend on high-quality data. A postacute care hospital in Ontario, Canada, conducted data quality assessment and focus group interviews to guide the development of a cross-disciplinary training programme to reimplement the Resident Assessment Instrument-Minimum Data Set (RAI-MDS) 2.0 comprehensive health assessment into the hospital's clinical workflows. METHODS: A hospital-level data quality assessment framework based on time series comparisons against an aggregate of Ontario postacute care hospitals was used to identify areas of concern. Focus groups were used to evaluate assessment practices and the use of health information in care planning and clinical decision support. The data quality assessment and focus groups were repeated to evaluate the effectiveness of the training programme. RESULTS: Initial data quality assessment and focus group indicated that knowledge, practice and cultural barriers prevented both the collection and use of high-quality clinical data. Following the implementation of the training, there was an improvement in both data quality and the culture surrounding the RAI-MDS 2.0 assessment. CONCLUSIONS: It is important for facilities to evaluate the quality of their health information to ensure that it is suitable for decision-making purposes. This study demonstrates the use of a data quality assessment framework that can be applied for quality improvement planning.

Clinical Profile of Persons with Multiple Sclerosis Across the Continuum of Care.

BACKGROUND: This study is part of the Innovations in Data, Evidence and Applications for Persons with Neurological Conditions project to understand the strengths, preferences, and needs of persons with neurological conditions living in Canada. OBJECTIVE: To estimate the prevalence and describe the sociodemographic and clinical characteristics of persons with multiple sclerosis in Canadian home care, nursing home, Complex Continuing Care hospitals, and inpatient mental health care settings. METHODS: Cross-sectional study of adults aged 18 years and older with multiple sclerosis (MS; n=11,250) across Canada from 1996 through 2011 using interRAI Resident Assessment Instrument (RAI) comprehensive health assessments (RAI Minimum Data Set 2.0, RAI-Home Care, RAI-Mental Health). Comparisons were made to adults with Alzheimer's disease and related dementias (n=260,910), other neurological conditions (n=163,578) and non-neurological conditions (n=571,567). RESULTS: The prevalence of MS was highest in Complex Continuing Care hospitals (4125 cases per 100,000 patients), followed by home care (2020 cases per 100,000 patients), nursing homes (1424 cases per 100,000 patients), and mental health settings (138 cases per 100,000 patients). Persons with MS experienced greater impairment in the completion of activities of daily living, pain, pressure ulcers, swallowing difficulty, depression, and anxiety compared with peers within care settings. There were also significant differences between settings, particularly the degree of physical and cognitive impairment experienced by persons with MS. CONCLUSIONS: Except for mental health care settings, the prevalence of MS in community, institutional and hospital-based care settings exceeded that of the general population. These data describing the sociodemographic and clinical characteristics of persons with MS may be used to inform clinical practice and policy decisions for persons with MS across the continuum of care.