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

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.

The Relationship Between Residential Mobility and Mortality Following Acute Myocardial Infarction

BACKGROUND

The extent to which residential mobility is associated with declining health among disease-specific populations, such as survivors of acute myocardial infarction (AMI), remains unknown.

METHODS

This prospective cohort study consisted of 3377 patients followed from index AMI (December 1, 1999 to March 30, 2003) to death or the last available follow-up date (March 30, 2020) in Ontario, Canada. Each residential postal code move from a patient's sentinel AMI event was tracked. Time-varying Cox proportional hazards examined the associated impact of each residential postal code move on mortality after adjusting for age, sex, baseline socioeconomic, psychosocial factors, changes in neighbourhood income level from each residential move, preexisting cardiovascular and noncardiovascular illnesses, and rural residence. All models evaluated death and long-term care institutionalisation as competing risks to distinguish mortality from other end-of-life destination outcomes among community-dwelling populations.

RESULTS

The study sample included 3369 patients with 1828 (54.3%) having at least 1 residential move throughout the study; 86.5% of patients either died in the community or moved from a community dwelling into a long-term care facility as an end-of-life destination. When adjusted for baseline factors and changing neighbourhood socioeconomic status over time, each residential move was associated with a 12% higher rate of death (adjusted hazard ratio [HR] 1.12, 95% confidence interval [CI] 1.05-1.19; P < 0.001) and a 26% higher rate of long-term care end-of-life institutionalisation (adjusted HR 1.26, 95% CI 1.14-1.58; P < 0.001).

CONCLUSIONS

Residential mobility was associated with higher mortality after AMI. Further research is needed to better evaluate intermediary causal pathways that may explain why residential mobility is associated with end-of-life outcomes.

Validation of an Adapted Version of the Veterans RAND 12-Item Health Survey for Older Adults Living in Long-Term Care Homes

BACKGROUND AND OBJECTIVES

The Veterans RAND 12-Item Health Survey (VR-12) is a generic patient-reported outcome measure of physical and mental health status. An adapted version of the VR-12 was developed for use with older adults living in long-term residential care (LTRC) homes in Canada: VR-12 (LTRC-C). This study aimed to evaluate the psychometric validity of the VR-12 (LTRC-C).

RESEARCH DESIGN AND METHODS

Data for this validation study were collected via in-person interviews for a province-wide survey of adults living in LTRC homes across British Columbia (N = 8,657). Three analyses were conducted to evaluate validity and reliability: (1) confirmatory factor analyses were conducted to validate the measurement structure; (2) correlations with measures of depression, social engagement, and daily activities were examined to evaluate convergent and discriminant validity; and (3) Cronbach's alpha (r) statistics were obtained to evaluate internal consistency reliability.

RESULTS

A measurement model with 2 correlated latent factors (representing physical health and mental health), 4 cross-loadings, and 4 correlated items resulted in an acceptable fit (root-mean-square error of approximation = 0.07; comparative fit index = 0.98). Physical and mental health were correlated in expected directions with measures of depression, social engagement, and daily activities, though the magnitudes of the correlations were quite small. Internal consistency reliability was acceptable for physical and mental health (r > 0.70).

DISCUSSION AND IMPLICATIONS

This study supports the use of the VR-12 (LTRC-C) to measure perceived physical and mental health among older adults living in LTRC homes.

Ascertaining asthma status in epidemiologic studies: a comparison between administrative health data and self-report

BACKGROUND

Studies have suggested that agreement between administrative health data and self-report for asthma status ranges from fair to good, but few studies benefited from administrative health data over a long period. We aimed to (1) evaluate agreement between asthma status ascertained in administrative health data covering a period of 30 years and from self-report, and (2) identify determinants of agreement between the two sources.

METHODS

We used administrative health data (1983-2012) from the Quebec Birth Cohort on Immunity and Health, which included 81,496 individuals born in the province of Quebec, Canada, in 1974. Additional information, including self-reported asthma, was collected by telephone interview with 1643 participants in 2012. By design, half of them had childhood asthma based on health services utilization. Results were weighted according to the inverse of the sampling probabilities. Five algorithms were applied to administrative health data (having ≥ 2 physician claims over a 1-, 2-, 3-, 5-, or 30-year interval or ≥ 1 hospitalization), to enable comparisons with previous studies. We estimated the proportion of overall agreement and Kappa, between asthma status derived from algorithms and self-reports. We used logistic regression to identify factors associated with agreement.

RESULTS

Applying the five algorithms, the prevalence of asthma ranged from 49 to 55% among the 1643 participants. At interview (mean age = 37 years), 49% and 47% of participants respectively reported ever having asthma and asthma diagnosed by a physician. Proportions of agreement between administrative health data and self-report ranged from 88 to 91%, with Kappas ranging from 0.57 (95% CI: 0.52-0.63) to 0.67 (95% CI: 0.62-0.72); the highest values were obtained with the [≥ 2 physician claims over a 30-year interval or ≥ 1 hospitalization] algorithm. Having sought health services for allergic diseases other than asthma was related to lower agreement (Odds ratio = 0.41; 95% CI: 0.25-0.65 comparing ≥ 1 health services to none).

CONCLUSIONS

These findings indicate good agreement between asthma status defined from administrative health data and self-report. Agreement was higher than previously observed, which may be due to the 30-year lookback window in administrative data. Our findings support using both administrative health data and self-report in population-based epidemiological studies.

A Mixed Methods Study to Implement the Synergy Tool and Evaluate Its Impact on Long-Term Care Residents

BACKGROUND

There are ongoing workforce challenges with the delivery of long-term care (LTC), such as staffing decisions based on arbitrary standards. The Synergy tool, a resident-centered approach to staffing, provides objective, real-time acuity and dependency scores (Synergy scores) for residents. The purpose of this study was to implement and evaluate the impact of the Synergy tool on LTC delivery.

METHODS

A longitudinal mixed methods study took place within two publicly funded LTC homes in British Columbia, Canada. Quantitative data included weekly Synergy scores for residents (24 weeks), monthly aggregated resident falls data (18 months) and a six-month economic evaluation. Qualitative data were gathered from family caregivers and thematically analyzed.

RESULTS

Quantitative findings from Synergy scores revealed considerable variability for resident acuity/dependency needs within and across units; and falls decreased during implementation. The six-month economic evaluation demonstrated some cost savings by comparing Synergy tool training and implementation costs with savings from resident fall rate reductions. Qualitative analyses yielded three positive impact themes (improved care delivery, better communication, and improved resident-family-staff relationships), and two negative structural themes (language barrier and staff shortages).

CONCLUSIONS

The Synergy tool provides useful data for enhancing a 'fit' between resident needs and available staff.

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.

Trends and correlates of concurrent opioid and benzodiazepine and/or gabapentinoid use among Ontario nursing home residents

BACKGROUND

A concern with long-term opioid use is the increased risk arising when opioids are used concurrently with drugs that can potentiate their associated adverse effects. The drugs most often encountered are benzodiazepines (BZDs) and gabapentinoids. Our study objectives were to examine trends in the concurrent use of opioids and BZDs, or gabapentinoids, in a Canadian nursing home population over an 11-year period, and current resident-level correlates of this concurrent use.

METHODS

We conducted a population-based, repeated cross-sectional study among Ontario nursing home residents (>65 years) dispensed opioids between April 2009 and February 2020. For the last study year, we examined cross-sectional associations between resident characteristics and concurrent use of opioids with BZDs or gabapentinoids. Linked data on nursing home residents from clinical and health administrative databases was used. The yearly proportions of residents who were dispensed an opioid concurrently with a BZD or gabapentinoid were plotted with percent change derived from log-binomial regression models. Separate modified Poisson regression models estimated resident-level correlates of concurrent use of opioids with BZDs or gabapentinoids.

RESULTS

Over the study period, among residents dispensed an opioid there was a 53.2% relative decrease (30.7% to 14.4%) in concurrent BZD and a 505.4% relative increase (4.4% to 26.6%) in concurrent gabapentinoid use. In adjusted models, increasing age and worsening cognition were inversely associated with the concurrent use of both classes, but most other significantly related covariates were unique to each drug class (e.g., sex and anxiety disorders for BZD, pain severity and presence of pain-related conditions for gabapentinoids).

CONCLUSIONS

Co-administration of BZDs or gabapentinoids in Ontario nursing home residents dispensed opioids remains common, but the pattern of co-use has changed over time. Observed covariates of concurrent use in 2019/20 suggest distinct but overlapping resident populations requiring consideration of the relative risks versus benefits of this co-use and monitoring for potential harm.

International Delphi Study to Optimize the Oral Health Section in interRAI

Introduction: The oral health (OH) of care-dependent older people is generally poor. Since caregivers are mainly responsible for older people's daily care, they can be considered important intermediaries to improve their OH by performing regular OH assessments. The interRAI instruments are introduced in 37 countries to assess care needs and facilitate care planning across different health care settings. The oral health section (OHS) within the interRAI instrument used in long-term care facilities was optimized for the Belgian context to identify residents who need assistance with daily oral care and/or need to be referred to a dentist. This Delphi study evaluated whether the OHS is also relevant and useful in other countries and modified the OHS accordingly until an international consensus was reached. Participants were experts in OH for older people. During 2 rounds of online questionnaires, experts rated the content, assessment process, triggering of Clinical Assessment Protocols, and accompanying guidelines and instruction videos of the optimized OHS. Based on the experts' comments and suggestions collected during the first round, the OHS was adjusted and presented to the experts in the second round for re-evaluation. The first and second questionnaires were completed by 48 and 42 oral health experts from 29 and 27 countries where the interRAI instruments are introduced, respectively. Five experts from 5 countries where interRAI is not introduced also participated in both rounds. After the second round, a consensus of over 86% was reached on all criteria. International consensus on the OHS was reached, considering national and cultural differences that may affect OH. The next step in this research is to evaluate the assessment process to identify potential barriers and facilitators to achieving reliable OH assessments internationally. Furthermore, the effect of the OHS at the level of the resident and of the caregivers will be evaluated.

Public Reporting of Performance Indicators in Long-Term Care in Canada: Does it Make a Difference?

Evidence of the impact of public reporting of health care performance on quality improvement is not yet sufficient for definitive conclusions to be drawn, despite the important policy implications. This study explored the association of public reporting of performance indicators of long-term care facilities in Canada with performance trends. We considered 16 performance indicators in long-term care in Canada, 8 of which are publicly reported at a facility level, whereas the other 8 are not publicly reported, between the fiscal years 2011-2012 and 2018-2019. Data from 1,087 long-term care facilities were included. Improving trends were observed among publicly reported indicators more often than among indicators that were not publicly reported. Our analysis also suggests that the association between publication of data and improvement is stronger among indicators for which there was no improvement prior to publication and among the worst performing facilities.

Physician Practice in Ontario Nursing Homes: Defining Physician Commitment

OBJECTIVES

To characterize the practice profile of nursing home (NH) physicians in Ontario, Canada.

DESIGN

Population-based cross-sectional study.

SETTING AND PARTICIPANTS

A total of 1527 most responsible physicians (MRPs) across 626 NHs in Ontario, Canada, for the calendar year, 2017.

METHODS

We examined physician services within all publicly regulated and funded NH facilities. Descriptive summaries were generated to characterize MRPs and their practice patterns by the physician's primary practice location, the NH facility size, and the proportion of physician billings that occurred within NHs. Community sizes were classified into quintiles based on population size and assigned as urban or rural. The number of ministry-designated NH beds were assessed by quintiles to examine physician services by facility size. We also assessed the proportion of physician billings within NHs by quintiles.

RESULTS

MRPs tended to be older, male, and practice family medicine. The majority of MRPs practiced in communities with populations exceeding 100,000 residents, although physicians with greater NH billings tended to practice in rural locations. The mean number of NH residents that a physician was MRP for was positively associated with the community size. Physicians provided care for more NH residents than they were assigned most responsible. Fifty-one percent of physicians were MRP for 90% of all NH residents.

CONCLUSIONS AND IMPLICATIONS

Our work provides an exemplar for characterizing physician commitment in NHs, using 2 approaches, according to the NH specialist model. We demonstrated the medical practice characteristics, locations, and billing patterns of physicians within Ontario NHs. Future work can investigate the association between physician commitment and the quality of care provided to NH residents. A greater understanding of physician commitment may lead to the development of quality metrics based on physician practice patterns.

The effects of acute care hospitalization on health and cost trajectories for nursing home residents: A matched cohort study

Thirty five percent to sixty seven percent of admissions to acute care hospitals from nursing homes are potentially preventable. Limited data exist regarding clinical and cost trajectories post an acute care hospitalization. To describe clinical impact and post-hospitalization costs associated with acute care admissions for nursing home residents. Analysis of population-based data. The 65,996 nursing home residents from a total of 645 nursing homes. Clinical outcomes assessed with the Changes in Health, End-stage disease and Symptoms and Signs (CHESS) scores, and monthly costs. Post-index date, hospitalized residents worsened their clinical conditions, with increases in CHESS scores (CHESS 3 + 24.5% vs 7.6%, SD 0.46), more limitations in activities of daily living (ADL) (86.1% vs 76.0%, SD 0.23), more prescriptions (+1.64 95% CI 1.43-1.86, P < .001), falls (30.9% vs 18.1%, SD 0.16), pressure ulcers (16.4% vs 8.6%, SD 0.37), and bowel incontinence (47.3% vs 39.3%, SD 0.35). Acute care hospitalizations for nursing home residents had a significant impact on their clinical and cost trajectories upon return to the nursing home. Investments in preventive strategies at the nursing home level, and to mitigate functional decline of hospitalized frail elderly residents may lead to improved quality of care and reduced costs for this population. Pre-hospitalization costs were not different between the hospitalized and control groups but showed an immediate increase post-hospitalization (CAD 1882.60 per month, P < .001).

Correlates of Opioid Use Among Ontario Long-Term Care Residents and Variation by Pain Frequency and Intensity: A Cross-sectional Analysis

Background

Chronic non-cancer pain is common among older residents of long-term care (LTC) homes and often poorly recognized and treated. With heightened concerns regarding opioid prescribing in recent years, it is important to examine the current prevalence of opioid use and its association with resident characteristics to help identify those potentially at risk of medication harms as well as suboptimal pain management.

Objectives

The aims were to estimate the prevalence and correlates of opioid use among non-palliative LTC residents and explore variation in opioid prevalence and correlates across strata defined by pain frequency and intensity.

Methods

We conducted a population-based cross-sectional study of all older (aged > 65 years) LTC residents (excluding those with cancer or receiving palliative care) in Ontario, Canada during 2018–2019. Health administrative databases were linked with standardized clinical assessment data to ascertain residents’ health and pain characteristics and their opioid and other medication use. Modified Poisson regression models estimated unadjusted and adjusted associations between residents’ characteristics and opioid use, overall and across strata capturing pain frequency and intensity.

Results

Among 75,020 eligible residents (mean age 85.1 years; 70% female), the prevalence of opioid use was 18.5% and pain was 29.4%. Opioid use ranged from 12.2% for residents with no current pain to 55.7% for those with severe pain. In adjusted models, residents newly admitted to LTC (adjusted risk ratio [aRR] = 0.60, 95% confidence interval [CI] 0.57–0.62) and with moderate to severe cognitive impairment (aRR = 0.69, 95% CI 0.66–0.72) or dementia (aRR = 0.76, 95% CI 0.74–0.79) were significantly less likely to receive an opioid, whereas residents with select conditions (e.g., arthritis, aRR = 1.37, 95% CI 1.32–1.41) and concurrently using gabapentinoids (aRR = 1.80, 95% CI 1.74–1.86), benzodiazepines (aRR = 1.33, 95% CI 1.28–1.38), or antidepressants (aRR = 1.31, 95% CI 1.27–1.35) were significantly more likely to receive an opioid. The associations observed for residents newly admitted, with dementia, and concurrently using gabapentinoids, benzodiazepines, or antidepressants were largely consistent across all pain strata.

Conclusions

Our findings describe resident sub-groups at potentially higher risk of adverse health outcomes in relation to both opioid use and non-use. LTC clinical and policy changes informed by research are required to ensure the appropriate recognition and management of non-cancer pain in this setting.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40266-022-00972-9.

Developing an evidence-informed model of long-term life care at home for older adults with medical, functional and/or social care needs in Ontario, Canada: a mixed methods study protocol

INTRODUCTION

The COVID-19 pandemic exacerbated existing challenges within the Canadian healthcare system and reinforced the need for long-term care (LTC) reform to prioritise building an integrated continuum of services to meet the needs of older adults. Almost all Canadians want to live, age and receive care at home, yet funding for home and community-based care and support services is limited and integration with primary care and specialised geriatric services is sparse. Optimisation of existing home and community care services would equip the healthcare system to proactively meet the needs of older Canadians and enhance capacity within the hospital and residential care sectors to facilitate access and reduce wait times for those whose needs are best served in these settings. The aim of this study is to design a model of long-term 'life care' at home (LTlifeC model) to sustainably meet the needs of a greater number of community-dwelling older adults.

METHODS AND ANALYSIS

An explanatory sequential mixed methods design will be applied across three phases. In the quantitative phase, secondary data analysis will be applied to historical Ontario Home Care data to develop unique groupings of patient needs according to known predictors of residential LTC home admission, and to define unique patient vignettes using dominant care needs. In the qualitative phase, a modified eDelphi process and focus groups will engage community-based clinicians, older adults and family caregivers in the development of needs-based home care packages. The third phase involves triangulation to determine initial model feasibility.

ETHICS AND DISSEMINATION

This study has received ethics clearance from the University of Waterloo Research Ethics Board (ORE #42182). Results of this study will be disseminated through peer-reviewed publications and local, national and international conferences. Other forms of knowledge mobilisation will include webinars, policy briefs and lay summaries to elicit support for implementation and pilot testing phases.

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.

The uptake and use of a minimum data set (MDS) for older people living and dying in care homes: a realist review

BACKGROUND

Care homes provide long term care for older people. Countries with standardised approaches to residents' assessment, care planning and review (known as minimum data sets (MDS)) use the aggregate data to guide resource allocation, monitor quality, and for research. Less is known about how an MDS affects how staff assess, provide and review residents' everyday care. The review aimed to develop a theory-driven understanding of how care home staff can effectively implement and use MDS to plan and deliver care for residents.

METHODS

The realist review was organised according to RAMESES (Realist And Meta-narrative Evidence Synthesis: and Evolving Standards) guidelines. There were three overlapping stages: 1) defining the scope of the review and theory development on the use of minimum data set 2) testing and refining candidate programme theories through iterative literature searches and stakeholders' consultations as well as discussion among the research team; and 3) data synthesis from stages 1 and 2. The following databases were used MEDLINE via OVID, Embase, CINAHL (Cumulative Index to Nursing and Allied Health Literature), ASSIA [Applied Social Sciences Citation Index and Abstracts]) and sources of grey literature.

RESULTS

Fifty-one papers informed the development of three key interlinked theoretical propositions: motivation (mandates and incentives for Minimum Data Set completion); frontline staff monitoring (when Minimum Data Set completion is built into the working practices of the care home); and embedded recording systems (Minimum Data Set recording system is integral to collecting residents' data). By valuing the contributions of staff and building on existing ways of working, the uptake and use of an MDS could enable all staff to learn with and from each other about what is important for residents' care CONCLUSIONS: Minimum Data Sets provides commissioners service providers and researchers with standardised information useful for commissioning planning and analysis. For it to be equally useful for care home staff it requires key activities that address the staff experiences of care, their work with others and the use of digital technology.

REGISTRATION

PROSPERO registration number CRD42020171323.

Outcomes of advance care directives after admission to a long-term care home: DNR the DNH?

Background

Residents of long-term care homes (LTCH) often experience unnecessary and non-beneficial hospitalizations and interventions near the end-of-life. Advance care directives aim to ensure that end-of-life care respects resident needs and wishes.

Methods

In this retrospective cohort study, we used multistate models to examine the health trajectories associated with Do-Not-Resuscitate (DNR) and Do-Not-Hospitalize (DNH) directives of residents admitted to LTCH in Ontario, Alberta, and British Columbia, Canada. We adjusted for baseline frailty-related health instability. We considered three possible end states: change in health, hospitalization, or death. For measurements, we used standardized RAI-MDS 2.0 LTCH assessments linked to hospital records from 2010 to 2015.

Results

We report on 123,003 LTCH residents. The prevalence of DNR and DNH directives was 71 and 26% respectively. Both directives were associated with increased odds of transitioning to a state of greater health instability and death, and decreased odds of hospitalization. The odds of hospitalization in the presence of a DNH directive were lowered, but not eliminated, with odds of 0.67 (95% confidence interval 0.65–0.69), 0.63 (0.61–0.65), and 0.47 (0.43–0.52) for residents with low, moderate and high health instability, respectively.

Conclusion

Even though both DNR and DNH orders are associated with serious health outcomes, DNH directives were not frequently used and often overturned. We suggest that policies recommending DNH directives be re-evaluated, with greater emphasis on advance care planning that better reflects resident values and wishes.

Mood Disturbances Across the Continuum of Care Based on Self-Report and Clinician Rated Measures in the interRAI Suite of Assessment Instruments

BACKGROUND

Mood disturbance is a pervasive problem affecting persons of all ages in the general population and the subset of those receiving services from different health care providers. interRAI assessment instruments comprise an integrated health information system providing a common approach to comprehensive assessment of the strengths, preferences and needs of persons with complex needs across the continuum of care.

OBJECTIVE

Our objective was to create new mood scales for use with the full suite of interRAI assessments including a composite version with both clinician-rated and self-reported items as well as a self-report only version.

METHODS

We completed a cross-sectional analysis of 511,641 interRAI assessments of Canadian adults aged 18+ in community mental health, home care, community support services, nursing homes, palliative care, acute hospital, and general population surveys to develop, test, and refine new measures of mood disturbance that combined clinician and self-rated items. We examined validity and internal consistency across diverse care settings and populations.

RESULTS

The composite scale combining both clinician and self-report ratings and the self-report only variant showed different distributions across populations and settings with most severe signs of disturbed mood in community mental health settings and lowest severity in the general population prior to the COVID-19 pandemic. The self-report and composite measures were strongly correlated with each other but differed most in populations with high rates of missing values for self-report due to cognitive impairment (e.g., nursing homes). Evidence of reliability was strong across care settings, as was convergent validity with respect to depression/mood disorder diagnoses, sleep disturbance, and self-harm indicators. In a general population survey, the correlation of the self-reported mood scale with Kessler-10 was 0.73.

CONCLUSIONS

The new interRAI mood scales provide reliable and valid mental health measures that can be applied across diverse populations and care settings. Incorporating a person-centered approach to assessment, the composite scale considers the person's perspective and clinician views to provide a sensitive and robust measure that considers mood disturbances related to dysphoria, anxiety, and anhedonia.

Predictors of mortality among long-term care residents with SARS-CoV-2 infection

BACKGROUND

While individuals living in long-term care (LTC) homes have experienced adverse outcomes of SARS-CoV-2 infection, few studies have examined a broad range of predictors of 30-day mortality in this population.

METHODS

We studied residents living in LTC homes in Ontario, Canada, who underwent PCR testing for SARS-CoV-2 infection from January 1 to August 31, 2020, and examined predictors of all-cause death within 30 days after a positive test for SARS-CoV-2. We examined a broad range of risk factor categories including demographics, comorbidities, functional status, laboratory tests, and characteristics of the LTC facility and surrounding community were examined. In total, 304 potential predictors were evaluated for their association with mortality using machine learning (Random Forest).

RESULTS

A total of 64,733 residents of LTC, median age 86 (78, 91) years (31.8% men), underwent SARS-CoV-2 testing, of whom 5029 (7.8%) tested positive. Thirty-day mortality rates were 28.7% (1442 deaths) after a positive test. Of 59,702 residents who tested negative, 2652 (4.4%) died within 30 days of testing. Predictors of mortality after SARS-CoV-2 infection included age, functional status (e.g., activity of daily living score and pressure ulcer risk), male sex, undernutrition, dehydration risk, prior hospital contacts for respiratory illness, and duration of comorbidities (e.g., heart failure, COPD). Lower GFR, hemoglobin concentration, lymphocyte count, and serum albumin were associated with higher mortality. After combining all covariates to generate a risk index, mortality rate in the highest risk quartile was 48.3% compared with 7% in the first quartile (odds ratio 12.42, 95%CI: 6.67, 22.80, p < 0.001). Deaths continued to increase rapidly for 15 days after the positive test.

CONCLUSIONS

LTC residents, particularly those with reduced functional status, comorbidities, and abnormalities on routine laboratory tests, are at high risk for mortality after SARS-CoV-2 infection. Recognizing high-risk residents in LTC may enhance institution of appropriate preventative measures.

Development and Validation of a Machine Learning Model Using Administrative Health Data to Predict Onset of Type 2 Diabetes

Importance

Systems-level barriers to diabetes care could be improved with population health planning tools that accurately discriminate between high- and low-risk groups to guide investments and targeted interventions.

Objective

To develop and validate a population-level machine learning model for predicting type 2 diabetes 5 years before diabetes onset using administrative health data.

Design, Setting, and Participants

This decision analytical model study used linked administrative health data from the diverse, single-payer health system in Ontario, Canada, between January 1, 2006, and December 31, 2016. A gradient boosting decision tree model was trained on data from 1 657 395 patients, validated on 243 442 patients, and tested on 236 506 patients. Costs associated with each patient were estimated using a validated costing algorithm. Data were analyzed from January 1, 2006, to December 31, 2016.

Exposures

A random sample of 2 137 343 residents of Ontario without type 2 diabetes was obtained at study start time. More than 300 features from data sets capturing demographic information, laboratory measurements, drug benefits, health care system interactions, social determinants of health, and ambulatory care and hospitalization records were compiled over 2-year patient medical histories to generate quarterly predictions.

Main Outcomes and Measures

Discrimination was assessed using the area under the receiver operating characteristic curve statistic, and calibration was assessed visually using calibration plots. Feature contribution was assessed with Shapley values. Costs were estimated in 2020 US dollars.

Results

This study trained a gradient boosting decision tree model on data from 1 657 395 patients (12 900 257 instances; 6 666 662 women [51.7%]). The developed model achieved a test area under the curve of 80.26 (range, 80.21-80.29), demonstrated good calibration, and was robust to sex, immigration status, area-level marginalization with regard to material deprivation and race/ethnicity, and low contact with the health care system. The top 5% of patients predicted as high risk by the model represented 26% of the total annual diabetes cost in Ontario.

Conclusions and Relevance

In this decision analytical model study, a machine learning model approach accurately predicted the incidence of diabetes in the population using routinely collected health administrative data. These results suggest that the model could be used to inform decision-making for population health planning and diabetes prevention.

Risk factors of readmission after geriatric hospital care: An interRAI-based cohort study in Finland

PURPOSE

To identify risk factors for readmission after geriatric hospital care.

METHODS

A retrospective cohort study of 1,167 community-dwelling patients aged ≥70 years who were hospitalised in two geriatric hospitals and discharged to their homes over a three-year period. We combined the results of the interRAI-post acute care instrument (interRAI-PAC) with hospital discharge records. Factors associated with readmissions within 90 days following discharge were analysed using logistic regression analysis.

RESULTS

The patients' mean age was 84.5 (SD 6.2) years, and 71% (n = 827) were women. The 90-day readmission rate was 29.5%. The risk factors associated with readmission in the univariate analysis were as follows: age, admission from home vs. acute care hospital, Alzheimer's disease, unsteady gait, fatigue, unstable conditions, Activities of Daily Living Hierarchy Scale (ADLH) score, Cognitive Performance Scale (CPS) score, body mass index (BMI), frailty index, bowel incontinence, hearing difficulties, and poor self-rated health. In the multivariable analysis, age of ≥90 years, ADLH ≥1, unsteady gait, BMI <25 or ≥30 kg/m 2 , and frailty remained as risk factors for readmission. Surgical operation during the treatment period was associated with a lower readmission risk.

CONCLUSIONS AND IMPLICATIONS

InterRAI-PAC performed upon admission to geriatric hospitals revealed patient-related risk factors for readmission. Based on the identified risk factors, we recommend that the patient's functional ability, activities of daily living (ADL) needs, and individual factors underlying ADL disability, as well as nutritional and mobility problems should be carefully addressed and managed during hospitalization to diminish the risk for readmission.

Fall-Related Hospitalizations in Nursing Home Residents Co-Prescribed a Cholinesterase Inhibitor and Beta-Blocker

BACKGROUND/OBJECTIVES

To examine the association between hospitalization for a fall-related injury and the co-prescription of a cholinesterase inhibitor (ChEI) among persons with dementia receiving a beta-blocker, and whether this potential drug-drug interaction is modified by frailty.

DESIGN

Nested case-control study using population-based administrative databases.

SETTING

All nursing homes in Ontario, Canada.

PARTICIPANTS

Persons with dementia aged 66 and older who received at least one beta-blocker between April 2013 and March 2018 following nursing home admission (n = 19,060).

MEASUREMENTS

Cases were persons with dementia with a hospitalization (emergency department visit or acute care admission) for a fall-related injury with concurrent beta-blocker use. Each case (n = 3,038) was matched 1:1 to a control by age (±1 year), sex, cohort entry year, frailty, and history of fall-related injuries. The association between fall-related injury and exposure to a ChEI in the 90 days prior was examined using multivariable conditional logistic regression. Secondary exposures included ChEI type, daily dose, incident versus prevalent use, and use in the prior 30 days. Subgroup analyses considered frailty, age group, sex, and history of hospitalization for fall-related injuries.

RESULTS

Exposure to a ChEI in the prior 90 days occurred among 947 (31.2%) cases and 940 (30.9%) controls. In multivariable models, no association was found between hospitalization for a fall-related injury and prior exposure to a ChEI in persons with dementia dispensed beta-blockers (adjusted odds ratio = .96, 95% confidence interval = .85-1.08). Findings were consistent across secondary exposures and subgroup analyses.

CONCLUSION

Among nursing home residents with dementia receiving beta-blockers, co-prescription of a ChEI was not associated with an increased risk of hospitalization for a fall-related injury. However, we did not assess for its association with falls not leading to hospitalization. This finding could inform clinical guidelines and shared decision making between persons with dementia, caregivers, and clinicians concerning ChEI initiation and/or discontinuation.

Factors Associated With Hospital Presentation of Self-Harm Among Older Canadians in Long-Term Care: A 12-Year Cohort Study

OBJECTIVES

This study aimed to examine the incidence of, and factors associated with, hospital presentation for self-harm among older Canadians in long-term care (LTC).

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

The LTC data were collected using Resident Assessment Instrument-Minimum Data Set (RAI-MDS) and Resident Assessment Instrument-Home Care (RAI-HC), and linked to the Discharge Abstract Database (DAD) with hospital records of self-harm diagnosis. Adults aged 60+ at first assessment between April 1, 2003, and March 31, 2015, were included.

METHODS

Adjusted hazard ratios (HRs) of self-harm for potentially relevant factors, including demographic, clinical, and psychosocial characteristics, were calculated using Fine & Gray competing risk models.

RESULTS

Records were collated of 465,870 people in long-term care facilities (LTCF), and 773,855 people receiving home care (HC). Self-harm incidence per 100,000 person-years was 20.76 [95% confidence interval (CI) 20.31-25.40] for LTCF and 46.64 (44.24-49.12) for HC. In LTCF, the strongest risks were younger age (60-74 years vs 90+: HR, 6.00; 95% CI, 3.24-11.12), psychiatric disorders (bipolar disorder: 3.46; 2.32-5.16; schizophrenia: 2.31; 1.47-3.62; depression: 2.29; 1.80-2.92), daily severe pain (2.01; 1.30-3.11), and daily tobacco consumption (1.78; 1.29-2.45). For those receiving HC, the strongest risk factors were younger age (60-74 years vs 90+: 2.54; 1.97-3.28), psychiatric disorders (2.20; 1.93-2.50), daily tobacco consumption (2.08; 1.81-2.39), and frequent falls (1.98; 1.46-2.68). All model interactions between setting and factors were significant.

CONCLUSIONS AND IMPLICATIONS

There was lower incidence of hospital presentation for self-harm for LTCF residents than HC recipients. We found sizable risks of self-harm associated with several modifiable risk factors, some of which can be directly addressed by better treatment and care (psychiatric disorders and pain), whereas others require through more complex interventions that target underlying factors and causes (tobacco and falls). The findings highlight a need for setting- and risk-specific prevention strategies to address self-harm in the older populations.

Comparing the case-mix of frail older people at home and of those being admitted into residential care: a longitudinal study

Background

In order to optimize interventions and services in the community, it is important to identify the profile of persons who are able to stay at home and of those who are being admitted into residential care. Understanding their needs and their use of resources is essential. The main objective of the study is to identify persons who are likely to enter residential care based upon their needs and resource utilization, so that care providers can plan interventions effectively and optimize services and resources to meet the persons’ needs.

Methods

This is a longitudinal quasi-experimental study. The data consists of primary data from the community setting collected every six months during the period of 2010–2016. Interventions had the goal of keeping older people longer at home. Participants were at least 65 years old and were living in the community. The interRAI Resource Utilization Group system (RUG-III) was used to calculate the case-mix indexes (CMI) of all participants. Comparisons were made between the case-mix of those who were still living at home and those who were admitted into residential care at follow-up.

Results

A total of 10,289 older persons participated in the study (81.2 ± 7.1 yrs., 69.1% female). From this population, 853 participants (8.3%) were admitted into residential care. The CMI of the persons receiving night care at home were the highest (1.6 at baseline and 1.7 at the entry point of residential care), followed by persons receiving occupational therapy (1.5 at baseline and 1.6 at the entry point of residential care) and persons enrolled in case management interventions with rehabilitation (1.4 at baseline and 1.6 at the entry point of residential care). The CMIs at follow-up were significantly higher than at baseline and the linear regression model showed that admission to residential care was a significant factor in the model.

Conclusions

The study showed that the RUG-III system offers possibilities for identifying persons at risk of institutionalization. Interventions designed to avoid early nursing home admission can make use of the RUG-III system to optimize care planning and the allocation of services and resources. Based on the RUG-III case-mix, resources can be allocated to keep older persons at home longer, bearing in mind the complexity of care and the availability of services in the community.

Long-Term Care Residents' Geriatric Syndromes at Admission and Disablement Over Time: An Observational Cohort Study

Background

Disablement occurs when people lose their ability to perform activities of daily living (ADLs) like bathing and dressing, and is measured as the rate of increasing disability over time. We examined whether balance impairment, cognitive impairment, or pain among residents at admission to long-term care homes were predictive of their rate of disablement over the subsequent 2 years.

Methods

Linked administrative databases were used to conduct a longitudinal cohort study of 12,334 residents admitted to 633 long-term care (LTC) homes between April 1, 2011 and March 31, 2012, in Ontario, Canada. Residents received an admission assessment of disability upon admission to LTC using the RAI-MDS 2.0 ADL long-form score (ADL LFS, range 0–28) and at least two subsequent disability assessments. Multivariable regression models estimated the adjusted association between balance impairment, cognitive impairment, and pain present at admission and residents’ subsequent disablement over 2 years.

Results

This population sample of newly admitted Ontario long-term care residents had a median disability score of 13 (interquartile range [IQR] = 7, 19) at admission. Greater balance impairment and cognitive impairment at admission were significantly associated with faster resident disablement over 2 years in adjusted models, while daily pain was not.

Conclusions

Balance impairment and cognitive impairment among newly admitted long-term care home residents are associated with increased rate of disablement over the following 2 years. Further research should examine the mechanisms driving this association and identify whether they are amenable to intervention.

The interRAI Suite of Mental Health Assessment Instruments: An Integrated System for the Continuum of Care

The lives of persons living with mental illness are affected by psychological, biological, social, economic, and environmental factors over the life course. It is therefore unlikely that simple preventive strategies, clinical treatments, therapeutic interventions, or policy options will succeed as singular solutions for the challenges of mental illness. Persons living with mental illness receive services and supports in multiple settings across the health care continuum that are often fragmented, uncoordinated, and inadequately responsive. Appropriate assessment is an important tool that health systems must deploy to respond to the strengths, preferences, and needs of persons with mental illness. However, standard approaches are often focused on measurement of psychiatric symptoms without taking a broader perspective to address issues like growth, development, and aging; physical health and disability; social relationships; economic resources; housing; substance use; involvement with criminal justice; stigma; and recovery. Using conglomerations of instruments to cover more domains is impractical, inconsistent, and incomplete while posing considerable assessment burden. interRAI mental health instruments were developed by a network of over 100 researchers, clinicians, and policy experts from over 35 nations. This includes assessment systems for adults in inpatient psychiatry, community mental health, emergency departments, mobile crisis teams, and long-term care settings, as well as a screening system for police officers. A similar set of instruments is available for child/youth mental health. The instruments form an integrated mental health information system because they share a common assessment language, conceptual basis, clinical emphasis, data collection approach, data elements, and care planning protocols. The key applications of these instruments include care planning, outcome measurement, quality improvement, and resource allocation. The composition of these instruments and psychometric properties are reviewed, and examples related to homeless are used to illustrate the various applications of these assessment systems.

If we cannot measure it, we cannot improve it: Understanding measurement problems in routine oral/dental assessments in Canadian nursing homes-Part I

OBJECTIVE

To compare Resident Assessment Instrument-Minimum Data Set 2.0 (RAI) oral/dental items collected by nursing home (NH) care staff to (a) assessments collected by trained research assistants (RAs) and (b) "gold standard" clinical assessments by dental hygienists (DHs).

BACKGROUND

Routine collection of RAI oral/dental items is mandatory in most Canadian NHs. However, the performance of these items is less than optimal and oral/dental problems are severely under-reported. Accurate assessment is a prerequisite for preventing, detecting and treating oral health problems. Not knowing the reasons for performance problems is a barrier to improving performance of the RAI oral/dental items.

MATERIALS AND METHODS

We included 103 NH residents from 4 NHs in Edmonton, Alberta, Canada. Using Kappa statistics, we compared the agreement of residents' last (no older than 90 days) RAI assessment with RAI assessments completed by trained RAs and "gold standard" clinical assessments by DHs. We also assessed the inter-rater reliability (IRR) of RA and DH assessments.

RESULTS

Care staff assessments had poor agreement with RA and DH assessments (Kappa < 0.2 for most items). RAs and DHs identified more oral/dental problems than care staff. However, IRR of RA assessments was low (Kappa < 0.7 for 7/9 items). IRR of DH assessments was acceptable (Kappa > 0.7) for most items.

CONCLUSIONS

The quality of RAI oral/dental assessments can be improved by better training care staff and ensuring appropriate time to do the assessments. However, remaining problems-even with trained RAs-suggest that rewording some of the items or supplementing them by more robust tools may be required.

Examining mechanisms for gender differences in admission to intensive care units

OBJECTIVE

To evaluate whether the male predominance of older people admitted to intensive care units (ICUs) is due to gender differences in the presence of spouses, partners, or children; rates of gender-specific disease; or triage decisions made by health system personnel.

DATA SOURCES AND COLLECTION

Three population-based datasets, 2004-2012, of Canadians ≥65 years: provincial health care data from Manitoba (n = 250 190) and national data of nursing home residents (n = 133 982) and community-based homecare recipients (n = 210 090).

STUDY DESIGN

Retrospective observational study, using multivariable Cox proportional hazards and logistic regression.

PRINCIPAL FINDINGS

Males predominated in ICU admissions: from Manitoba (hazard ratio [HR] = 1.87, 95% CI = 1.80-1.95), nursing homes (HR = 1.47, 1.35-1.60), and homecare (odds ratio = 1.14, 1.11-1.17). Adjustment for spouses, partners, and children did not attenuate this effect. The HR for gender was lower by 13.5 percent, relative, after excluding ICU care for cardiac causes. Male predominance was not present during a second ICU admission among survivors of a first ICU-containing hospitalization (HR = 1.07, 0.96-1.20).

CONCLUSIONS

In three older cohorts, the male predominance of ICU admission was not explained by gender differences in the presence of a spouse, partner, or children, or cardiac disease rates. The third finding suggests that triage bias is unlikely to be responsible for the male predominance.

One-year survival and admission to hospital for cardiovascular events among older residents of long-term care facilities who were prescribed intensive- and moderate-dose statins

BACKGROUND

Guidance from randomized clinical trials about the ongoing benefits of statin therapies in residents of long-term care facilities is lacking. We sought to examine the effect of statin dose on 1-year survival and admission to hospital for cardiovascular events in this setting.

METHODS

We conducted a retrospective cohort study using population-based administrative data from Ontario, Canada. We identified 21 808 residents in long-term care facilities who were 76 years of age and older and were prevalent statin users on the date of a full clinical assessment between April 2013 and March 2014, and categorized residents as intensive- or moderate-dose users. Treatment groups were matched on age, sex, admission to hospital for atherosclerotic cardiovascular disease, resident frailty and propensity score. Differences in 1-year survival and admission to hospital for cardiovascular events were measured using Cox proportional and subdistribution hazard models, respectively.

RESULTS

Using propensity-score matching, we included 4577 well-balanced pairs of residents who were taking intensive- and moderate-dose statins. After 1 year, there were 1210 (26.4%) deaths and 524 (11.5%) admissions to hospital for cardiovascular events among residents using moderate-dose statins compared with 1173 (25.6%) deaths and 522 (11.4%) admissions to hospital for cardiovascular events among those taking intensive-dose statins. We found no significant association between prevalent use of intensive-dose statins and 1-year survival (hazard ratio [HR] 0.97, 95% confidence interval [CI] 0.90 to 1.05) or 1-year admission to hospital for cardiovascular events (HR 0.99, 95% CI 0.88 to 1.12) compared with use of moderate-dose statins.

INTERPRETATION

The rates of mortality and admission to hospital for cardiovascular events at 1 year were similar between residents in long-term care taking intensive-dose statins compared with those taking moderate-dose statins. This lack of benefit should be considered when prescribing statins to vulnerable residents of long-term care facilities who are at potentially increased risk of statin-related adverse events.

Time trends in opioid prescribing among Ontario long-term care residents: a repeated cross-sectional study

BACKGROUND

Opioids are an important pain therapy, but their use may be associated with adverse events in frail and cognitively impaired long-term care residents. The objective of this study was to investigate trends in opioid prescribing among Ontario long-term care residents over time, given the paucity of data for this setting.

METHODS

We used linked clinical and health administrative databases to conduct a population-based, repeated cross-sectional study of opioid use among Ontario long-term care residents between Apr. 1, 2009, and Mar. 31, 2017. We identified prevalent opioid use by drug type, dosage and coprescription with benzodiazepines, and within certain vulnerable subgroups. We used log-binomial regression to quantify the percent change between 2009/10 and 2016/17.

RESULTS

Among an average of 76 147 long-term care residents per year, the prevalence of opioid use increased from 15.8% in 2009/10 to 19.6% in 2016/17 (p < 0.001). Over the study period, the use of hydromorphone increased by 233.2%, whereas the use of all other opioid agents decreased. The use of high-dose opioids (> 90 mg of morphine equivalents) and the coprescription of opioids with benzodiazepines decreased significantly, by 17.7% (p < 0.001) and 23.8% (p < 0.001), respectively. Increases in opioid prevalence were more notable among frail residents (37.6% v. 18.8% among nonfrail residents, p < 0.001) and those with dementia (38.6% v. 21.6% among those without dementia, p < 0.001).

INTERPRETATION

Within Ontario long-term care, trends suggest a shift toward increased use of hydromorphone but reduced prevalence of use of other opioid agents and potentially inappropriate opioid prescribing. Further investigation is needed on the impact of these trends on resident outcomes.

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.

Regional variations of care in home care and long-term care: a retrospective cohort study

BACKGROUND

Many aging adults undergo progressive loss of autonomy, develop increasingly complex medical needs and experience multiple care transitions. We sought to determine the degree of variation in rates of transfer from home care services and long-term care in several Canadian jurisdictions.

METHODS

In this retrospective cohort study, we examined transitions from home care services and long-term care to different possible end states: change in health stability (getting better or worse), transfer to hospital, transfer to another care setting or death. We used standardized interRAI assessments from long-term care and home care linked to hospital records (data from the Discharge Abstract Database and National Ambulatory Care Reporting System) from 2010 to 2016. Multistate modelling was used to adjust for patients with complex health status and transitions in care.

RESULTS

We report data for 254 664 patients in home care programs and 162 045 residents in long-term care. Compared with patients in Ontario, patients requiring home care services in Alberta and British Columbia had increased odds of being admitted to hospital regardless of the underlying severity of illness (the adjusted odds ratios [OR] ranged from 2.08 to 3.77 in Alberta and from 1.28 to 1.46 in BC). Residents in long-term care in Alberta and BC had less than half the odds of being transferred to hospital, independent of all other factors, when compared with long-term care residents in Ontario (the adjusted OR ranged from 0.38 to 0.39 in Alberta and from 0.33 to 0.44 in BC).

INTERPRETATION

Significant variations in transfer rates were observed between provinces, even after controlling for individual patient characteristics. These results suggest that transfers to hospital are largely driven by health care policies, health care professional practice patterns and available infrastructure rather than individual patient needs.

The Association of Resident Communication Abilities and Antibiotic Use in Long-Term Care

OBJECTIVES

To determine whether decreased communication ability among long-term care residents is associated with increased antibiotic exposure.

DESIGN

Retrospective cohort study.

SETTING

All long-term care homes in Ontario, Canada.

PARTICIPANTS

All adults aged 66 years or older residing in long-term care and undergoing a full assessment between January 1 and December 31, 2016 (N = 87,947).

MEASUREMENTS

Data were obtained from linkable, population-wide administrative data sets. Residents were identified, and characteristics were abstracted from the Resident Assessment Instrument Minimum Dataset version 2.0. The primary predictors of interest were residents' ability to make themselves understood and ability to understand others. The primary outcome was antibiotic days of treatment per 1000 resident days in the 90 days following assessment (obtained from the Ontario Drug Benefits Database).

RESULTS

Those who were sometimes/rarely/never able to make themselves understood received 50.7 antibiotic days per 1000 person-days of follow-up, compared to 62.1 received by those who were able to make themselves understood. Those who were sometimes/rarely/never able to understand others received 50.0 antibiotic days per 1000 person-days of follow-up, compared to 61.4 by those who were able to understand others. Multivariable Poisson regression, accounting for resident characteristics, confirmed that compared to those with highest levels of communication ability, those who could sometimes/rarely/never make themselves understood had significantly fewer days on antibiotics (rate ratio [RR] = 0.76; confidence interval [95% CI] = 0.73-0.79) as did those who could sometimes/rarely/never understand others (RR = 0.76; 95% CI = 0.74-0.79).

CONCLUSION

Poor resident communication ability is not a driver of antibiotic overuse in long-term care. In fact, lower ability to understand others and/or be understood by others is associated with less antibiotic exposure. Further work is needed to optimize antibiotic use in long-term care residents across the entire spectrum of communication skills.

Predicting Future Health Transitions Among Newly Admitted Nursing Home Residents With Heart Failure

OBJECTIVES

To understand how a heart failure diagnosis and admission health instability predict health transitions and outcomes among newly admitted nursing home residents.

DESIGN

Retrospective cohort study of linked administrative data, including the Continuing Care Report System MDS 2.0 for nursing homes, the Discharge Abstract Database for hospitalized patients, and National Ambulatory Care Reporting System to track emergency department visits.

SETTING AND PARTICIPANTS

Older adults, aged 65 years and above, admitted to nursing homes in Ontario, Alberta, and British Columbia, Canada, from 2010 to 2016.

MEASURES

Mortality and hospitalization were plotted over 1 year. Multistate Markov models were used to estimate adjusted odds ratios (ORs) for transitions to different states of health in stability, hospitalization, and death, stratified by heart failure diagnosis and by interRAI Changes in Health and End-stage disease Signs and Symptoms (CHESS) score, at 90 days following admission to a nursing home.

RESULTS

The final sample included 143,067 residents. Adverse events were most common in the first 90 days. A diagnosis of heart failure predicted worsening health instability, hospitalizations, and mortality. The effect of heart failure on hospitalizations and death was strongest for low baseline health instability (CHESS = 0; OR 1.63, 95% confidence interval (CI) 1.58-1.68, and OR 1.71, 95% CI 1.57-1.86, respectively), versus moderate instability (CHESS = 1-2; OR 1.36, 95% CI 1.32-1.39, and OR 1.48, 95% CI 1.41-1.55), versus high instability (CHESS = 3; OR 1.12, 95% CI 1.03-1.23, and OR 1.21, 95% CI 1.11-1.32). The magnitude of the impact of a heart failure diagnosis was greatest for lower baseline health instability. Residents with the highest degree of health instability were also most likely to die in hospital.

CONCLUSIONS AND IMPLICATIONS

A diagnosis of heart failure and health instability provide complementary information to predict transfers, deaths, and adverse outcomes. Clearly identifying these at-risk patients may be useful in targeting interventions in nursing homes.

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.

Predictors of Cholinesterase Discontinuation during the First Year after Nursing Home Admission

OBJECTIVES

For persons with dementia, the appropriate duration of cholinesterase inhibitor (ChEI) use remains unclear. We examined patterns of ChEI use during nursing home (NH) transition and the factors associated with discontinuation following admission.

DESIGN

Population-based retrospective cohort study using linked health administrative and Resident Assessment Instrument Minimum Dataset, version 2.0 databases.

SETTING AND PARTICIPANTS

A total of 47,851 older adults (mean age = 84.8 years, standard deviation = 6.8) with dementia newly admitted to a NH in Ontario, Canada between 2011 and 2015.

MEASUREMENTS

ChEI use at admission and during the following year was identified from prescription claims. Resident sociodemographic and health characteristics at admission, including a 72-item frailty index, were derived from the Resident Assessment Instrument Minimum Dataset 2.0. Additional resident and prescriber characteristics were derived from administrative data. Discontinuation was defined as a 30+-day gap in ChEI supply. Multivariable subdistribution hazard models were used to estimate the independent effect of resident frailty and other factors on ChEI discontinuation.

RESULTS

Approximately one-third (17,560) of residents with dementia were on a ChEI at admission. Among this group, 17.7% (3110) discontinued use over follow-up. Incidence of discontinuation was significantly higher among residents with syncope [subdistribution hazard ratio, sHR = 2.21, 95% confidence interval, CI (1.52, 3.22)], more severe behavioral symptoms [sHR = 1.79, 95% CI (1.57, 2.05)], cognitive impairment [sHR = 1.26, 95% CI (1.07, 1.48)], higher frailty, [sHR = 1.19, 95% CI (1.04, 1.36)], and a primary prescriber active in the NH [sHR = 1.28, 95% CI (1.14, 1.45)]. A significantly lower incidence was observed for older and unmarried residents and those with a longer duration of use.

CONCLUSIONS/IMPLICATIONS

Less than one-fifth of residents on a ChEI at admission discontinued use during the following year. Although some of the predictors of discontinuation align with past research and current clinical recommendations, others were unexpected and point to novel drivers of ChEI use. Future investigations should explore the varied reasons underlying these associations and resident outcomes associated with ChEI discontinuation.

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.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-3089-7) contains supplementary material, which is available to authorized users.

Measuring health related quality of life (HRQoL) in community and facility-based care settings with the interRAI assessment instruments: development of a crosswalk to HUI3

Background

Health-related quality of life (HRQoL) measures are of interest because they can be used to describe health of populations and represent a broader health outcome for population health analyses than mortality rates or life expectancy. The most widely used measure of HRQoL for deriving estimates of health-adjusted life expectancy is the Health Utilities Index Mark 3 (HUI3). The HUI3 is available in most national surveys administered by Statistics Canada, and has been used as part of a microsimulation model to examine the impact of neurological conditions over the life course. Persons receiving home care and nursing home services are often not well-represented in these surveys; however, interRAI assessment instruments are now used as part of normal clinical practice in these settings for nine Canadian provinces/territories. Building on previous research that developed a HUI2 crosswalk for the interRAI assessments, the present study examined a new interRAI HRQoL index crosswalked to the HUI3.

Methods

interRAI and survey data were used to examine the distributional properties of global and domain-specific interRAI HRQoL and HUI3 index scores, respectively. Three populations were considered: well-elderly persons not receiving home care, home care clients and nursing home residents.

Results

The mean HUI3 and interRAI HRQoL index global scores declined from independent healthy older persons to home care clients, followed by nursing home residents. For the home care and nursing home populations, the interRAI HRQoL global estimates tended to be lower than HUI3 global scores obtained from survey respondents. While there were some statistically significant age, sex and diagnostic group differences in global scores and within attributes, the most notable differences were between populations from different care settings.

Discussion

The present study provides strong evidence for the validity of the interRAI HRQoL based on comparisons of distributional properties with those obtained with survey data based on the HUI3. The results demonstrate the importance of admission criteria for home care and nursing home settings, where function plays a more important role than demographic or diagnostic criteria. The interRAI HRQoL has a distinct advantage because it is gathered as part of normal clinical practice in care settings where interRAI instruments are mandatory and are used to assess all eligible persons in those sectors. In particular, those with severe cognitive and functional impairments (who tend to be under-represented in survey data) will be evaluated using the interRAI tools. Future research should build on this work by providing direct, person-level comparisons of interRAI HRQoL index and HUI3 scores, as well as longitudinal analyses to examine responsiveness to change.

Potentially inappropriate medications in community-dwelling older adults undertaken as a comprehensive geriatric risk assessment

PURPOSE

The prescription of potentially inappropriate medications (PIMs) is associated with an increase in adverse events, prescribing cascades, high health-care costs, morbidity, and mortality in the elderly. The overarching objective of this study is to examine the prevalence of PIMs in the elderly, applying the 2012 American Geriatrics Society Beers criteria for the study period 2012-2014, and the updated 2015 Beers criteria for 2015.

METHODS

The study population (N = 70,479) included a continuously recruited national cohort of community-dwelling older (aged ≥ 65 years) New Zealanders who had undertaken the International Resident Assessment Instrument-Home Care (interRAI-HC) assessments between September 2012 and October 2015. Exposure of PIMs 90 days before and after assessment, and 90-180 days after assessment are reported.

RESULTS

Exposure to PIMs was highest in individuals aged over 95 years and in males. The average number of PIMs prescribed 90 days before assessment during the period 2015 was marginally higher compared to 2012-2014 (0.19 versus 0.04), and a greater number of individuals were exposed to one or more PIMs in 2015 compared to 2012-2014 (7.13 versus 2.17%). The prevalence of PIMs 90 days before and after assessment was 2.17 and 6.92% for 2012-2014, and 7.13 and 24.7% for 2015, respectively. The percent change in PIMs in 2012-2014 and 2015 after 90 days of assessment were 4.70% (confidence interval (CI) 4.50%, 5.00%, p < 0.001) and 17.60% (95% CI 16.80%, 18.30%, p < 0.001), respectively. The majority of PIMs prescribed belonged to the therapeutic class of medications acting on the central nervous system and the gastrointestinal system.

CONCLUSION

Geriatric risk assessments may provide a vital opportunity to review medication lists by multidisciplinary teams with a view to reducing PIMs and unnecessary polypharmacy in older adults. Comprehensive geriatric risk assessment has the potential to reduce adverse medication outcomes and costs associated with inappropriate prescribing in a vulnerable population of older adults.

Clinical Complexity and Use of Antipsychotics and Restraints in Long-Term Care Residents with Parkinson's Disease

BACKGROUND

Patients with Parkinson's disease (PD) and/or Parkinsonism are affected by a complex burden of comorbidity. Many ultimately require institutional care, where they may be subject to the application of physical restraints or the prescription of antipsychotic medications, making them more vulnerable to adverse outcomes.

OBJECTIVES

The objectives of this paper are to: 1) describe the clinical complexity of older institutionalized persons with PD; and 2) examine patterns and predictors of restraint use and prescription of antipsychotics in this population.

METHODS

Population-based cross-sectional cohort study. Residents with PD and/or Parkinsonism living in long-term care (LTC) facilities in 6 Canadian provinces and 1 Northern Territory and Complex Continuing Care (CCC) facilities in Manitoba and Ontario, Canada. The RAI MDS 2.0 instrument was used to assess all LTC residents and CCC residents. Clinical characteristics and the prevalence of major comorbidities were examined. Multivariate modeling was used to identify the characteristics of PD residents most associated with the prescription of antipsychotics and the use of restraints in LTC and CCC facilities.

RESULTS

Residents with PD in LTC and CCC exhibit a high prevalence of dementia, major psychiatric disorders, stroke, heart failure, chronic obstructive pulmonary disease and diabetes mellitus. More than 90% of LTC and CCC residents with PD had cognitive impairment; with more than half having moderate to severe impairment. Residents with PD were more likely to receive antipsychotics than those without PD. Antipsychotic use was associated with psychosis and aggressive behaviours, but also with unsteady gait and higher comorbidity and medication count. Similarly, although more common in CCC than LTC facilities, both psychosis and aggressive behaviours were associated with restraint use, as was greater cognitive and functional impairment, and urinary incontinence. Younger age, male gender, and lower physician access were all associated with greater antipsychotic and restraint use.

CONCLUSIONS

LTC and CCC residents with PD are very complex medically. Use of antipsychotics and restraints is common, and their use is often associated with factors other than psychosis or aggression.

Evaluation of data quality of interRAI assessments in home and community care

BACKGROUND

The aim of this project is to describe the quality of assessment data regularly collected in home and community, with techniques adapted from an evaluation of the quality of long-term care data in Canada.

METHODS

Data collected using the Resident Assessment Instrument - Home Care (RAI-HC) in Ontario and British Columbia (BC) as well as the interRAI Community Health Assessment (CHA) in Ontario were analyzed using descriptive statistics, Pearson's r correlation, and Cronbach's alpha in order to assess trends in population characteristics, convergent validity, and scale reliability.

RESULTS

Results indicate that RAI-HC data from Ontario and BC behave in a consistent manner, with stable trends in internal consistency providing evidence of good reliability (alpha values range from 0.72-0.94, depending on the scale and province). The associations between various scales, such as those reflecting functional status and cognition, were found to be as expected and stable over time within each setting (r values range from 0.42-0.45 in Ontario and 0.41-0.43 in BC). These trends in convergent validity demonstrate that constructs in the data behave as they should, providing evidence of good data quality. In most cases, CHA data quality matches that of RAI-HC data quality and shows evidence of good validity and reliability. The findings are comparable to the findings observed in the evaluation of data from the long-term care sector.

CONCLUSIONS

Despite an increasingly complex client population in the home and community care sectors, the results from this work indicate that data collected using the RAI-HC and the CHA are of an overall quality that may be trusted when used to inform decision-making at the organizational- or policy-level. High quality data and information are vital when used to inform steps taken to improve quality of care and enhance quality of life. This work also provides evidence that a method used to evaluate the quality of data obtained in the long-term care setting may be used to evaluate the quality of data obtained through community-based measures.

Antipsychotics and dementia in Canada: a retrospective cross-sectional study of four health sectors

Background

Antipsychotic medications are not recommended for the management of symptoms of dementia, particularly among persons with no behavioral or psychological symptoms. We examine patterns of antipsychotic medication use among persons with dementia across health sectors in Canada, with a focus on factors related to use among those without behavioral or psychotic symptoms.

Methods

Using a retrospective cross-sectional design, this study examines antipsychotic use among adults aged 65 or older with dementia in home care (HC), complex continuing care (CCC), long-term care (LTC), and among alternate level care patients in acute hospitals (ALC). Using clinical data from January 1, 2009 to December 31, 2014, the prevalence of antipsychotic medication use was estimated by the presence of behavioral and psychotic symptoms. Logistic regression was used to identify sector specific factors associated with antipsychotic use in the absence of behavioral and psychotic symptoms.

Results

The total prevalence of antipsychotic use among older adults with dementia was 26% in HC, 54% in ALC, 41% in CCC, and 48% in LTC. This prevalence ranged from 38% (HC) to 73% (ALC) for those with both behavioral and psychotic symptoms and from 15% (HC) to 31% (ALC) among those with no symptoms. The regression models identified a number of variables were related to antipsychotic use in the absence of behavior or psychotic symptoms, such as bipolar disorder (OR = 6.63 in CCC; OR = 5.52 in LTC), anxious complaints (OR = 1.54 in LTC to 2.01 in CCC), and wandering (OR = 1.83 in ALC).

Conclusions

Potentially inappropriate use of antipsychotic medications is prevalent among older adults with dementia across health sectors. The variations in prevalence observed from community to facility based care suggests that system issues may exist in appropriately managing persons with dementia.

Electronic supplementary material

The online version of this article (10.1186/s12877-017-0636-8) contains supplementary material, which is available to authorized users.

Assessing the quality of administrative data for research: a framework from the Manitoba Centre for Health Policy

The growth of administrative data repositories worldwide has spurred the development and application of data quality frameworks to ensure that research analyses based on these data can be used to draw meaningful conclusions. However, the research literature on administrative data quality is sparse, and there is little consensus regarding which dimensions of data quality should be measured. Here we present the core dimensions of the data quality framework developed at the Manitoba Centre for Health Policy, a world leader in the use of administrative data for research purposes, and provide examples and context for the application of these dimensions to conducting data quality evaluations. In sharing this framework, our ultimate aim is to promote best practices in rigorous data quality assessment among users of administrative data for research.

Pressure Ulcers Among Newly Admitted Nursing Home Residents: Measuring the Impact of Transferring From Hospital

OBJECTIVES

Pressure ulcers (PUs) are reported more often among newly admitted nursing home (NH) residents who transfer from hospital versus community. We examine for whom this increased risk is greatest, further defining hospitalized patients most in need of better PU preventive care.

RESEARCH DESIGN

Retrospective observational cohort study.

SUBJECTS

All NH residents (N=5617) newly admitted between April 1, 2008 and March 31, 2012 in Winnipeg, MB, Canada.

MEASURES

RAI-MDS 2.0 data were linked to administrative health care use files capturing each person's NH admission date, their presence of a PU at this time, whether they transferred into NH from hospital or community, and their PU susceptibility (eg, amount of help needed to maneuver in bed or to transfer from one surface to another, frequency of incontinence, presence of diabetes, amount of food consistently left uneaten). Log-binomial regression with interaction terms was used to analyze data.

RESULTS

67.6% of our cohort transferred into a NH directly from hospital; 9.2% of these residents were reported to have a stage 1+ PU on NH admission versus 2.6% of those who transferred from community. From regression models, transferring from hospital versus community was associated with increased PU risk equally across various subgroups of less and more susceptible residents.

CONCLUSIONS

Transferring from hospital versus community places both more and less susceptible newly admitted NH residents at increased PU risk. Using evidence-based preventive care practices is thus needed for all subgroups of hospital patients before NH use, to help reduce PU risk.

Disability in long-term care residents explained by prevalent geriatric syndromes, not long-term care home characteristics: a cross-sectional study

Background

Self-care disability is dependence on others to conduct activities of daily living, such as bathing, eating and dressing. Among long-term care residents, self-care disability lowers quality of life and increases health care costs. Understanding the correlates of self-care disability in this population is critical to guide clinical care and ongoing research in Geriatrics. This study examines which resident geriatric syndromes and chronic conditions are associated with residents’ self-care disability and whether these relationships vary across strata of age, sex and cognitive status. It also describes the proportion of variance in residents’ self-care disability that is explained by residents’ geriatric syndromes versus long-term care home characteristics.

Methods

We conducted a cross-sectional study using a health administrative cohort of 77,165 long-term care home residents residing in 614 Ontario long-term care homes. Eligible residents had their self-care disability assessed using the RAI-MDS 2.0 activities of daily living long-form score (range: 0–28) within 90 days of April 1st, 2011. Hierarchical multivariable regression models with random effects for long-term care homes were used to estimate the association between self-care disability and resident geriatric syndromes, chronic conditions and long-term care home characteristics. Differences in findings across strata of sex, age and cognitive status (cognitively intact versus cognitively impaired) were examined.

Results

Geriatric syndromes were much more strongly associated with self-care disability than chronic conditions in multivariable models. The direction and size of some of these effects were different for cognitively impaired versus cognitively intact residents. Residents’ geriatric syndromes explained 50% of the variation in their self-care disability scores, while characteristics of long-term care homes explained an additional 2% of variation.

Conclusion

Differences in long-term care residents’ self-care disability are largely explained by prevalent geriatric syndromes. After adjusting for resident characteristics, there is little variation in self-care disability associated with long-term care home characteristics. This suggests that residents’ geriatric syndromes—not the homes in which they live—may be the appropriate target of interventions to reduce self-care disability, and that such interventions may need to differ for cognitively impaired versus unimpaired residents.

Electronic supplementary material

The online version of this article (doi:10.1186/s12877-017-0444-1) contains supplementary material, which is available to authorized users.

Oral/dental items in the resident assessment instrument - minimum Data Set 2.0 lack validity: results of a retrospective, longitudinal validation study

Background

Oral health in nursing home residents is poor. Robust, mandated assessment tools such as the Resident Assessment Instrument – Minimum Data Set (RAI-MDS) 2.0 are key to monitoring and improving quality of oral health care in nursing homes. However, psychometric properties of RAI-MDS 2.0 oral/dental items have been challenged and criterion validity of these items has never been assessed.

Methods

We used 73,829 RAI-MDS 2.0 records (13,118 residents), collected in a stratified random sample of 30 urban nursing homes in Western Canada (2007–2012). We derived a subsample of all residents (n = 2,711) with an admission and two or more subsequent annual assessments. Using Generalized Estimating Equations, adjusted for known covariates of nursing home residents’ oral health, we assessed the association of oral/dental problems with time, dentate status, dementia, debris, and daily cleaning.

Results

Prevalence of oral/dental problems fluctuated (4.8 %–5.6 %) with no significant differences across time. This range of prevalence is substantially smaller than the ones reported by studies using clinical assessments by dental professionals. Denture wearers were less likely than dentate residents to have oral/dental problems (adjusted odds ratio [OR] = 0.458, 95 % confidence interval [CI]: 0.308, 0.680). Residents lacking teeth and not wearing dentures had higher odds than dentate residents of oral/dental problems (adjusted OR = 2.718, 95 % CI: 1.845, 4.003). Oral/dental problems were more prevalent in persons with debris (OR = 2.187, 95 % CI: 1.565, 3.057). Of the other variables assessed, only age at assessment was significantly associated with oral/dental problems.

Conclusions

Robust, reliable RAI-MDS 2.0 oral health indicators are vital to monitoring and improving oral health related quality and safety in nursing homes. However, severe underdetection of oral/dental problems and lack of association of well-known oral health predictors with oral/dental problems suggest validity problems. Lacking teeth and not wearing dentures should be considered an indicator for urgent oral/dental treatment needs.

Electronic supplementary material

The online version of this article (doi:10.1186/s12963-016-0108-y) contains supplementary material, which is available to authorized users.

Incidence and prevalence of dementia in linked administrative health data in Saskatchewan, Canada: a retrospective cohort study

BACKGROUND

Determining the epidemiology of dementia among the population as a whole in specific jurisdictions - including the long-term care population-is essential to providing appropriate care. The objectives of this study were to use linked administrative databases in the province of Saskatchewan to determine the 12-month incidence and prevalence of dementia for the 2012/13 period (1) among individuals aged 45 and older in the province of Saskatchewan, (2) according to age group and sex, and (3) according to diagnosis code and other case definition criteria.

METHODS

We used a population-based retrospective cohort study design and extracted data from 10 provincial health databases linked by a unique health services number. The cohort included individuals 45 years and older at first identification of dementia between April 1, 2001 and March 31, 2013 based on case definitions met within any one of four administrative health databases (Hospital Discharge Abstracts, Physician Service Claims, Prescription Drug, and RAI-MDS, i.e., Long-term Care).

RESULTS

A total of 3,270 incident cases of dementia (7.28 per 1,000 PAR) and 13,012 prevalent cases (28.16 per 1,000 PAR) were identified during 2012/13. This study found the incidence rate increased by 2.8 to 5.1 times and the prevalence rate increased by 2.6 to 4.6 times every 10 years after 45 years of age. Overall, the age-standardised incidence rate was significantly lower among females than males (7.04 vs. 7.65 per 1,000 PAR) and the age-standardised prevalence rate was significantly higher among females than males (28.92 vs. 26.53 per 1,000 PAR). Over one-quarter (28 %) of all incident cases were admitted to long-term care before a diagnosis was formally recorded in physician or hospital data, and nearly two-thirds of these cases were identified at admission with impairment at the moderate to very severe level or a disease category of Alzheimer's disease/other dementia.

CONCLUSIONS

Linking multiple sources of registry data contributes to our understanding of the epidemiology of dementia across multiple segments of the population, inclusive of individuals residing in long-term care. This information is foundational for public awareness and policy recommendations, health promotion and prevention strategies, appropriate health resource planning, and research priorities.