The association between rurality, places of care and the location of death of long-term care home residents with dementia: A population-based study.

Background: Most individuals prefer to spend their final moments of life outside a hospital setting. This study compares the places of care and death of long-term care (LTC) home residents in Ontario in the last 90 days of life, according to LTC home rurality. Data and methods: This retrospective cohort study was conducted using health administrative data from ICES (formerly known as the Institute for Clinical Evaluative Sciences). The study population, which was identified through algorithms, included all Ontario LTC home residents with a dementia diagnosis who died between April 1, 2014, and March 31, 2019. The location of death was categorized as in an acute care hospital, an LTC home, a subacute care facility, or the community. Places of care included emergency department visits and hospitalizations in the last 90 days of life. Statistical tests were used to evaluate differences in location of death and places of care by rurality. Results: Of the 65,375 LTC home residents with dementia, 49,432 (75.6%) died in an LTC home. Residents of LTC homes in the most urban areas were less likely to die in an LTC home than those in more rural homes (adjusted relative risk: 0.84; 95% confidence interval: 0.83 to 0.85). A higher proportion of residents of the most urban LTC homes had at least one hospitalization in the last 90 days of life compared with rural residents (23.7% versus 9.9% palliative hospitalizations and 28.3% versus 15.9% non-palliative hospitalizations [p ⟨ 0.001]). Interpretation: Individuals with dementia residing in urban LTC homes are more likely to receive care in the hospital and to die outside a LTC home than their counterparts living in rural LTC homes. The findings of this work will inform efforts to improve end-of-life care for older adults with dementia living in LTC homes.

Identifying predictors of cognitive decline in long-term care: a scoping review.

BACKGROUND: Cognitive impairment can cause social, emotional, and financial burdens on individuals, caregivers, and healthcare providers. This is especially important in settings such as long-term care (LTC) homes which largely consist of vulnerable older adults. Thus, the objective of this study is to review and summarize current research examining risk factors of cognitive decline in older adults within LTC. METHODS: This scoping review includes primary observational research studies assessing within-person change in cognition over time in LTC or equivalent settings in high resource countries. A mean participant age of ≥ 65 years was required. Searches were conducted in Medline, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and PyscInfo on June 27th, 2022 and included articles published during or after the year 2000. Title, abstract, and full-text screening was performed by two independent reviewers using Covidence. Specific predictors along with their associated relation with cognitive decline were extracted by a team of reviewers into a spreadsheet. RESULTS: Thirty-eight studies were included in this review. The mean sample size was 14 620. Eighty-seven unique predictors were examined in relation to cognitive decline. Dementia was the most studied predictor (examined by 9 of 38 studies), and the most conclusive, with eight of those studies identifying it as a risk factor for cognitive decline. Other predictors that were identified as risk factors included arterial stiffness (identified by 2 of 2 studies), physical frailty (2 of 2 studies), sub-syndromal delirium (2 of 2 studies), and undergoing the first wave of COVID-19 lockdowns (2 of 2 studies). ADL independence was the most conclusive protective factor (3 of 4 studies), followed by social engagement (2 of 3 studies). Many remaining predictors showed no association and/or conflicting results. CONCLUSIONS: Dementia was the most common risk factor, while ADL independence was the most common protective factor associated with cognitive decline in LTC residents. This information can be used to stratify residents by risk severity and provide better personalized care for older adults through the targeted management of cognitive decline.

Cognitive Decline in Long-term Care Residents Before and During the COVID-19 Pandemic in Ontario, Canada.

This study examines the incidence of cognitive decline among long-term care residents in Ontario before and during the COVID-19 pandemic.

Long-term cognitive impairment after probable delirium in long-term care residents: A population-based retrospective cohort study.

BACKGROUND: The impact of delirium on cognition has not been well-studied in long-term care (LTC) residents. This study examined changes in cognition 1 year after a probable delirium episode among LTC residents, compared to LTC residents without probable delirium. We also evaluated whether the relationship between probable delirium and cognitive change differed according to a diagnosis of dementia. METHODS: We conducted a population-based retrospective cohort study using linked health administrative data. The study population included adults aged 65+ residing in LTC in Ontario, Canada and assessed via the Resident Assessment Instrument-Minimum Dataset between January 1, 2016 and December 31, 2018. Probable delirium was ascertained via the delirium Clinical Assessment Protocol on the index assessment. Cognition was measured quarterly using the Cognitive Performance Scale (range 0-6, higher values indicate greater impairment). Cognitive decline up to 1 year after index was evaluated using multivariable proportional odds regression models. RESULTS: Of 92,005 LTC residents, 2816 (3.1%) had probable delirium at index. Residents with probable delirium had an increased odds of cognitive decline compared to those without probable delirium, with adjusted odds ratios of 1.64 (95% confidence interval [CI] 1.35-1.99), 1.56 (95% CI 1.34-1.85), 1.57 (95% CI 1.32-1.86) and 1.50 (95% CI 1.25-1.80) after 1-3, 4-6, 7-9, and 10-12 months of follow-up. Residents with probable delirium and a comorbid dementia diagnosis had the highest adjusted odds of cognitive decline (adjusted odds ratio 5.57, 95% CI 4.79-6.48) compared to those without probable delirium or dementia. Residents with probable delirium were also more likely to die within 1 year than those without probable delirium (52.5% vs. 23.4%). CONCLUSIONS: Probable delirium is associated with increased mortality and worsened cognition in LTC residents that is sustained months after the probable delirium episode. Efforts to prevent delirium in this population may help limit these adverse effects.

Corrigendum: Measuring the Use of End-of-Life Symptom Relief Medications in Long-Term Care Homes-a Qualitative Study.

[This corrects the article DOI: 10.5770/cgj.27.712.].

Measuring the Use of End-of-Life Symptom Relief Medications in Long-Term Care Homes-a Qualitative Study.

Background: At the end of life, individuals may experience physical symptoms such as pain, and guidelines recommend medications to manage these symptoms. Yet, little is known about the symptom management long-term care (LTC) residents receive at the end of life. Our research team developed a metric-whether residents receive one or more prescriptions for an end-of-life symptom management medication in their last two weeks-to explore end-of-life care for LTC residents. This qualitative study aimed to inform the refinement of the end-of-life prescribing metric, including the acceptability and applicability to assess the quality of a resident's symptom management at end-of-life. Methods: We conducted 14 semi-structured interviews with Ontario health-care providers (physicians and nurses) who work in LTC homes and family caregivers of residents who died in LTC. Interviews were conducted virtually between February 2021 and December 2022, and were analyzed using thematic analysis. Results: We identified three major themes relating to perceptions of the metric: 1) appropriateness, 2) health-care provider applicability, and 3) caregiver applicability. Participants noted that the metric may be appropriate to assess end-of-life care, but noted important nuances. Regarding applicability, health-care providers found value in the metric and that it could inform their practice. Conversely, caregivers found limited value in the metric. Conclusion: The proposed metric captures a very specific aspect of end-of-life care-whether end-of-life medications were prescribed or not. Participants deemed that the metric may reflect whether LTC homes have processes to manage a resident's end-of-life symptoms with medication. However, participants thought the metric could not provide a complete picture of end-of-life care and its quality.

Enablers and Barriers for End-of-Life Symptom Management Medications in Long-Term Care Homes: A Qualitative Study.

OBJECTIVES: Long-term care (LTC) homes provide personal and medical care 24/7 to individuals unable to live at home due to illness or disability and are often the final place of care and death for their residents. Therefore, LTC homes are tasked with providing quality end-of-life care, often requiring injectable symptom management medications to relieve distressing symptoms (eg, pain). In this study, we aimed to understand the enablers and barriers to prescribing and administering end-of-life symptom management medications in LTC homes. DESIGN: Qualitative study. SETTING AND PARTICIPANTS: From February 2021 to December 2022, we conducted virtual semi-structured interviews with health care providers (physicians and nurses) who worked in Ontario LTC homes and family caregivers of residents who died in LTC. METHODS: We analyzed interview transcripts using thematic analysis. RESULTS: We identified 4 themes related to factors that may impact the prescribing and administering of medications for end-of-life symptom management: (1) identifying the end-of-life period and symptoms, (2) communication among health care providers and between health care providers and family caregivers, (3) health care provider competency with end-of-life medications, and (4) resources for LTC staff to support medication prescribing and administrating. CONCLUSIONS AND IMPLICATIONS: In LTC, there are distinct challenges in the prescribing and administrating of end-of-life symptom management medications. Our findings can be used to inform interventions aimed at improving end-of-life care for LTC residents. However, these interventions require buy-in and investment from the provincial government and the LTC sector.

Associations between Gender Expression, Protective Coping Strategies, Alcohol Saliency, and High-Risk Alcohol Use in Post-Secondary Students at Two Canadian Universities.

BACKGROUND: This study, conducted in October 2017 at two Canadian universities, aimed to explore the relationships between gender expression, protective coping strategies, alcohol saliency, and high-risk alcohol use. METHODS: Validated scales were employed to assess these variables using survey data. Multivariate analyses were conducted to investigate the associations between these factors and high-risk drinking. RESULTS: This study revealed significant associations between high-risk drinking and androgynous gender roles (OR = 1.58, 95% CI: 1.19-2.10) as well as among self-reported males (OR = 2.21; 95% CI: 1.77-2.75). Additionally, protective behavioural strategies were inversely related to high-risk drinking (OR = 0.95; 95% CI: 0.94-0.96), while higher alcohol saliency exhibited a positive correlation with high-risk drinking (OR = 1.12; 95% CI: 1.11-1.14). CONCLUSIONS: These findings underscore the importance of considering gender, alcohol saliency beliefs, and protective behavioural strategies in the development and refinement of interventions aimed at reducing high-risk alcohol use on Canadian campuses.

Potentially Inappropriate Prescribing in Long-Term Care and its Relationship With Probable Delirium.

OBJECTIVES: This study examined potentially inappropriate prescribing (PIP) of medication and its association with probable delirium among long-term care (LTC) residents in Ontario, Canada. DESIGN: Population-based cross-sectional study using provincial health administrative data, including LTC assessment data via the Resident Assessment Instrument-Minimum Dataset version 2.0 (RAI-MDS 2.0). SETTING AND PARTICIPANTS: LTC residents in Ontario between January 1, 2016, and December 31, 2019. METHODS: We used residents' first RAI-MDS 2.0 assessment in the study period as the index assessment. Probable delirium was identified via the delirium Clinical Assessment Protocol. Medication use in the 2 weeks preceding assessment was captured using medication claims data. PIP was measured using the STOPP/START criteria and 2015 Beers criteria, with residents classified as having 0, 1, 2, or 3+ instances of PIP. Relationships between PIP and probable delirium was assessed via bivariate and multivariable logistic regression models. RESULTS: The study population included 171,190 LTC residents (mean age 84.5 years, 66.8% female, 62.9% with dementia). More than half (51.8%) of residents had 1+ instances of PIP and 21% had 3+ instances of PIP according to the STOPP/START criteria; PIP prevalence was slightly lower when assessed using Beers criteria (36.5% with 1+, 11.1% with 3+). Overall, 3.7% of residents had probable delirium. The prevalence of probable delirium increased as the number of instances of PIP increased, with residents with 3+ instances of STOPP/START PIP being 1.66 times more likely (95% CI 1.56-1.77) to have probable delirium compared to those with no instances of PIP. Similar findings were observed when PIP was measured using the Beers criteria. Central nervous system (CNS)-related PIP criteria showed a stronger association with probable delirium than non-CNS-related PIP criteria. CONCLUSIONS AND IMPLICATIONS: This population-based study highlighted that PIP was highly prevalent in long-term care residents and was associated with an increased prevalence of probable delirium.

Changes in End-of-Life Symptom Management Prescribing among Long-Term Care Residents during COVID-19.

OBJECTIVE: To examine changes in the prescribing of end-of-life symptom management medications in long-term care (LTC) homes during the COVID-19 pandemic. DESIGN: Retrospective cohort study using routinely collected health administrative data in Ontario, Canada. SETTING AND PARTICIPANTS: We included all individuals who died in LTC homes between January 1, 2017, and March 31, 2021. We separated the study into 2 periods: before COVID-19 (January 1, 2017, to March 17, 2020) and during COVID-19 (March 18, 2020, to March 31, 2021). METHODS: For each LTC home, we measured the percentage of residents who died before and during COVID-19 who had a subcutaneous symptom management medication prescription in their last 14 days of life. We grouped LTC homes into quintiles based on their mean prescribing rates before COVID-19, and examined changes in prescribing during COVID-19 and COVID-19 outcomes across quintiles. RESULTS: We captured 75,438 LTC residents who died in Ontario's 626 LTC homes during the entire study period, with 19,522 (25.9%) dying during COVID-19. The mean prescribing rate during COVID-19 ranged from 46.9% to 79.4% between the lowest and highest prescribing quintiles. During COVID-19, the mean prescribing rate in the lowest prescribing quintile increased by 9.6% compared to before COVID-19. Compared to LTC homes in the highest prescribing quintile, homes in the lowest prescribing quintile experienced the highest proportion of COVID-19 outbreaks (73.4% vs 50.0%), the largest mean outbreak intensity (0.27 vs 0.09 cases/bed), the highest mean total days with a COVID-19 outbreak (72.7 vs 24.2 days), and the greatest proportion of decedents who were transferred and died outside of LTC (22.1% vs 8.6%). CONCLUSIONS AND IMPLICATIONS: LTC homes in Ontario had wide variations in the prescribing rates of end-of-life symptom management medications before and during COVID-19. Homes in the lower prescribing quintiles had more COVID-19 cases per bed and days spent in an outbreak.

Palliative End-of-Life Medication Prescribing Rates in Long-Term Care: A Retrospective Cohort Study.

BACKGROUND: Medications are often needed to manage distressing end-of-life symptoms (eg, pain, agitation). OBJECTIVES: In this study, we describe the variation in prescribing rates of symptom relief medications at the end of life among long-term care (LTC) decedents. We evaluate the extent these medications are prescribed in LTC homes and whether prescribing rates of end-of-life symptom management can be used as an indicator of quality end-of-life care. DESIGN: Retrospective cohort study using administrative health data. SETTING AND PARTICIPANTS: LTC decedents in all 626 publicly funded LTC homes in Ontario, Canada, between January 1, 2017, and March 17, 2020. METHODS: For each LTC home, we measured the percent of decedents who received 1+ prescription(s) for a subcutaneous end-of-life symptom management medication ("end-of-life medication") in their last 14 days of life. We then ranked LTC homes into quintiles based on prescribing rates. RESULTS: We identified 55,916 LTC residents who died in LTC. On average, two-thirds of decedents (64.7%) in LTC homes were prescribed at least 1 subcutaneous end-of-life medication in the last 2 weeks of life. Opioids were the most common prescribed medication (overall average prescribing rate of 62.7%). LTC homes in the lowest prescribing quintile had a mean of 37.3% of decedents prescribed an end-of-life medication, and the highest quintile mean was 82.5%. In addition, across these quintiles, the lowest prescribing quintile had a high average (30.3%) of LTC residents transferred out of LTC in the 14 days compared with the highest prescribing quintile (12.7%). CONCLUSIONS AND IMPLICATIONS: Across Ontario's LTC homes, there are large differences in prescribing rates for subcutaneous end-of-life symptom relief medications. Although future work may elucidate why the variability exists, this study provides evidence that administrative data can provide valuable insight into the systemic delivery of end-of-life care.

Changes in health service use due to alcohol during the COVID-19 pandemic among individuals with and individuals without pre-existing alcohol-related medical diagnoses.

OBJECTIVE: To compare changes in outpatient and acute care visits due to alcohol during the COVID-19 pandemic between individuals with and those without a history of alcohol-related health service use (AHSU). METHODS: We conducted a cross-sectional analysis of health administrative data in Ontario, Canada. The Ontario population was stratified into those with and those without 1+ health service encounter(s) due to alcohol in the past 2 years. We compared age- and sex-standardized rates of alcohol-related outpatient visits, emergency department (ED) visits, and hospitalizations during the first 15 months of the pandemic (March 2020-May 2021) to those during the same 15-month period prior to the pandemic (March 2018-May 2019). RESULTS: Of 13,450,750 eligible Ontarians on March 11, 2022, 129,434 (1.0%) had AHSU in the previous 2 years. Overall, rates of alcohol-related outpatient visits and hospitalizations increased, while rates of alcohol-related ED visits decreased during the pandemic. There was a similar relative increase in rates of alcohol-related outpatient visits and hospitalizations between those with and those without prior AHSU. However, the absolute increase in rates of alcohol-related outpatient visits and hospitalizations was higher among those with prior AHSU (outpatient rate difference (RD) per 10,000 population: 852.3, 95% confidence interval (CI): 792.7, 911.9; inpatient RD: 26.0, 95% CI: -2.3, 54.2) than among those without (outpatient RD: 6.5, 95% CI: 6.0, 6.9; inpatient RD: 0.4, 95% CI: 0.2, 0.7). CONCLUSION: Rates of alcohol-related outpatient and inpatient care increased during the COVID-19 pandemic, and high rate of recurrent harm among individuals with pre-pandemic AHSU was an important contributor to this trend.

RéSUMé: OBJECTIF: Comparer les changements dans consultations externes et les consultations en soins actifs liées à l'alcool pendant la pandémie de COVID-19 chez les personnes avec et chez celles sans antécédents d'utilisation des services de santé liée à l'alcool (USSLA). MéTHODE: Nous avons effectué une analyse transversale des données administratives sur la santé de l'Ontario, au Canada. Nous avons stratifié la population ontarienne selon la présence (1+) ou l'absence de contacts avec les services de santé pour des raisons liées à l'alcool au cours des deux années antérieures. Nous avons comparé les taux de consultations externes, de consultations à l'urgence et d'hospitalisations liées à l'alcool, standardisés pour l'âge et le sexe, au cours des 15 premiers mois de la pandémie (mars 2020­mai 2021) aux taux correspondants pour la même période de 15 mois avant la pandémie (mars 2018­mai 2019). RéSULTATS: Sur les 13 450 750 Ontariens et Ontariennes admissibles le 11 mars 2022, 129 434 (1,0 %) avaient utilisé les services de santé pour des raisons liées à l'alcool au cours des deux années antérieures. Dans l'ensemble, les taux de consultations externes et d'hospitalisations liées à l'alcool ont augmenté, tandis que les taux de consultations à l'urgence liées à l'alcool ont diminué pendant la pandémie. Il y a eu une augmentation relative semblable des taux de consultations externes et d'hospitalisations liées à l'alcool entre les personnes avec et sans antécédents d'USSLA. Par contre, l'augmentation absolue des taux de consultations externes et d'hospitalisations liées à l'alcool a été plus élevée chez les personnes ayant des antécédents d'USSLA (différence de taux [DT] de consultations externes pour 10 000 habitants : 852,3; intervalle de confiance de 95 % [IC] : 792,7, 911,9; DT d'hospitalisations : 26,0; IC de 95 % : -2,3, 54,2) que chez les personnes sans antécédents d'USSLA (DT de consultations externes : 6,5; IC de 95 % : 6,0, 6,9; DT d'hospitalisations : 0,4; IC de 95 % : 0,2, 0,7). CONCLUSION: Les taux de consultations externes et d'hospitalisations liées à l'alcool ont augmenté pendant la pandémie de COVID-19, et les taux élevés de méfaits récurrents chez les personnes ayant utilisé les services de santé pour des raisons liées à l'alcool avant la pandémie ont beaucoup contribué à cette tendance.

Characteristics and Outcomes of ICU Patients Without COVID-19 Infection-Pandemic Versus Nonpandemic Times: A Population-Based Cohort Study.

Outcomes for critically ill COVID-19 are well described; however, the impact of the pandemic on critically ill patients without COVID-19 infection is less clear. OBJECTIVES: To demonstrate the characteristics and outcomes of non-COVID patients admitted to an ICU during the pandemic, compared with the previous year. DESIGN: A population-based study conducted using linked health administrative data comparing a cohort from March 1, 2020, to June 30, 2020 (pandemic) to a cohort from March 1, 2019, to June 30, 2019 (nonpandemic). SETTING AND PARTICIPANTS: Adult patients (18 yr old) admitted to an ICU in Ontario, Canada, without a diagnosis of COVID-19 during the pandemic and nonpandemic periods. MAIN OUTCOMES AND MEASURES: The primary outcome was all-cause in-hospital mortality. Secondary outcomes included hospital and ICU length of stay, discharge disposition, and receipt of resource intensive procedures (e.g., extracorporeal membrane oxygenation, mechanical ventilation, renal replacement therapy, bronchoscopy, feeding tube insertion, and cardiac device insertion). We identified 32,486 patients in the pandemic cohort and 41,128 in the nonpandemic cohort. Age, sex, and markers of disease severity were similar. Fewer patients in the pandemic cohort were from long-term care facilities and had fewer cardiovascular comorbidities. There was an increase in all-cause in-hospital mortality among the pandemic cohort (13.5% vs 12.5%; p < 0.001) representing a relative increase of 7.9% (adjusted odds ratio, 1.10; 95% CI, 1.05-1.56). Patients in the pandemic cohort admitted with chronic obstructive pulmonary disease exacerbation had an increase in all-cause mortality (17.0% vs 13.2%; p = 0.013), a relative increase of 29%. Mortality among recent immigrants was higher in the pandemic cohort compared with the nonpandemic cohort (13.0% vs 11.4%; p = 0.038), a relative increase of 14%. Length of stay and receipt of intensive procedures were similar. CONCLUSIONS AND RELEVANCE: We found a modest increase in mortality among non-COVID ICU patients during the pandemic compared with a nonpandemic cohort. Future pandemic responses should consider the impact of the pandemic on all patients to preserve quality of care.

Physician benzodiazepine self-use prior to and during the COVID-19 pandemic in Ontario, Canada: a population-level cohort study.

OBJECTIVES: The aim of this study was to investigate physician benzodiazepine (BZD) self-use pre-COVID-19 pandemic and to examine changes in BZD self-use during the first year of the pandemic. DESIGN: Population-based retrospective cohort study using linked routinely collected administrative health data comparing the first year of the pandemic to the period before the pandemic. SETTING: Province of Ontario, Canada between March 2016 and March 2021. PARTICIPANTS: INTERVENTION: Onset of the COVID-19 pandemic in March 2020. OUTCOMES MEASURES: The primary outcome measure was the receipt of one or more prescriptions for BZD, which was captured via the Narcotics Monitoring System. RESULTS: In a cohort of 30 798 physicians (mean age 42, 47.8% women), we found that during the year before the pandemic, 4.4% of physicians had 1 or more BZD prescriptions. Older physicians (6.8% aged 50+ years), female physicians (5.1%) and physicians with a prior mental health (MH) diagnosis (12.4%) were more likely than younger (3.7% aged <50 years), male physicians (3.8%) and physicians without a prior MH diagnosis (2.9%) to have received 1 or more BZD prescriptions. The first year of the COVID-19 pandemic was associated with a 10.5% decrease (adjusted OR (aOR) 0.85, 95% CI: 0.80 to 0.91) in the number of physicians with 1 or more BZD prescriptions compared with the year before the pandemic. Female physicians were less likely to reduce BZD self-use (aORfemale=0.90, 95% CI: 0.83 to 0.98) compared with male physicians (aORmale=0.79, 95% CI: 0.72 to 0.87, pinteraction=0.046 during the pandemic. Physicians presenting with an incident MH visit had higher odds of filling a BZD prescription during COVID-19 compared with the prior year. CONCLUSIONS: Physicians' BZD prescriptions decreased during the first year of the COVID-19 pandemic in Ontario, Canada. These findings suggest that previously reported increases in mental distress and MH visits among physicians during the pandemic did not lead to greater self-use of BZDs.

Using Resident-Sensitive Quality Measures Derived From Electronic Health Record Data to Assess Residents' Performance in Pediatric Emergency Medicine.

PURPOSE: Traditional quality metrics do not adequately represent the clinical work done by residents and, thus, cannot be used to link residency training to health care quality. This study aimed to determine whether electronic health record (EHR) data can be used to meaningfully assess residents' clinical performance in pediatric emergency medicine using resident-sensitive quality measures (RSQMs). METHOD: EHR data for asthma and bronchiolitis RSQMs from Cincinnati Children's Hospital Medical Center, a quaternary children's hospital, between July 1, 2017, and June 30, 2019, were analyzed by ranking residents based on composite scores calculated using raw, unadjusted, and case-mix adjusted latent score models, with lower percentiles indicating a lower quality of care and performance. Reliability and associations between the scores produced by the 3 scoring models were compared. Resident and patient characteristics associated with performance in the highest and lowest tertiles and changes in residents' rank after case-mix adjustments were also identified. RESULTS: 274 residents and 1,891 individual encounters of bronchiolitis patients aged 0-1 as well as 270 residents and 1,752 individual encounters of asthmatic patients aged 2-21 were included in the analysis. The minimum reliability requirement to create a composite score was met for asthma data (α = 0.77), but not bronchiolitis (α = 0.17). The asthma composite scores showed high correlations ( r = 0.90-0.99) between raw, latent, and adjusted composite scores. After case-mix adjustments, residents' absolute percentile rank shifted on average 10 percentiles. Residents who dropped by 10 or more percentiles were likely to be more junior, saw fewer patients, cared for less acute and younger patients, or had patients with a longer emergency department stay. CONCLUSIONS: For some clinical areas, it is possible to use EHR data, adjusted for patient complexity, to meaningfully assess residents' clinical performance and identify opportunities for quality improvement.

Outpatient Mental Health Follow-up and Recurrent Self-harm and Suicide Among Patients Admitted to the ICU for Self-harm: A Population-based Cohort Study.

BACKGROUND: Patients surviving an ICU admission for deliberate self-harm are at high risk of recurrent self-harm or suicide after discharge. It is unknown whether mental health follow-up after discharge (with either a family physician or psychiatrist) reduces this risk. RESEARCH QUESTION: What is the association between mental health follow-up after discharge and recurrent self-harm among patients admitted to the ICU for intentional self-harm? STUDY DESIGN AND METHODS: Population-based cohort study of consecutive adults (≥ 18 years of age) from Ontario, Canada, who were admitted to ICU because of intentional self-harm between 2009 and 2017. We categorized patients according to follow-up, with 'early follow-up' indicating 1 to 21 days after discharge, 'late follow-up' indicating 22 to 60 days after discharge, and 'no follow-up' indicating no follow-up within 60 days of discharge. We conducted analyses using a cause-specific extended Cox regression model to account for varying time for mental health follow-up relative to the outcomes of interest. The primary outcome was recurrent ICU admission for self-harm within 1 year of discharge. RESULTS: We included 9,569 consecutive adults admitted to the ICU for deliberate self-harm. Compared with receiving no mental health follow-up, both early follow-up (hazard ratio [HR], 1.37; 95% CI, 1.07-1.75) and late follow-up (HR, 1.69; 95% CI, 1.22-2.35) were associated with increased risk in recurrent ICU admission for self-harm. As compared with no follow-up, neither early follow-up (HR, 1.10; 95% CI, 0.70-1.73) nor late follow-up (HR, 1.54; 95% CI, 0.84-2.83) were associated with increased risk of death by suicide. INTERPREATION: Among adults admitted to the ICU for deliberate self-harm, mental health follow-up after discharge was not associated with reduced risk of recurrent ICU admission for self-harm or death resulting from suicide, and patients seeking outpatient follow-up may be those at highest risk of these outcomes. Future research should focus on additional and novel methods of risk mitigation in this vulnerable population.

Dying with Parkinson's Disease: Healthcare Utilization and Costs in the Last Year of Life.

BACKGROUND: The end-of-life period is associated with disproportionately higher health care utilization and cost at the population level but there is little data in Parkinson's disease (PD). OBJECTIVE: The goals of this study were to 1) compare health care use and associated cost in the last year of life between decedents with and without PD, and 2) identify factors associated with palliative care consultation and death in hospital. METHODS: Using linked administrative datasets held at ICES, we conducted a retrospective, population-based cohort study of all Ontario, Canada decedents from 2015 to 2017. We examined demographic data, rate of utilization across healthcare sectors, and cost of health care services in the last year of life. RESULTS: We identified 291,276 decedents of whom 12,440 (4.3%) had a diagnosis of PD. Compared to decedents without PD, decedents with PD were more likely to be admitted to long-term care (52% vs. 23%, p < 0.001) and received more home care (69.0 vs. 41.8 days, p < 0.001). Receipt of palliative homecare or physician palliative home consultation were associated with lower odds of dying in hospital (OR: 0.24, 95% CI: 0.19- 0.30, and OR: 0.38, 95% CI: 0.33- 0.43, respectively). Mean cost of care in the last year of life was greater for decedents with PD ($68,391 vs. $59,244, p < 0.001). CONCLUSION: Compared to individuals without PD, individuals with PD have higher rates of long-term care, home care and higher health care costs in the last year of life. Palliative care is associated with a lower rate of hospital death.

Characteristics and Outcomes for Low-Risk Hospital Admissions Admitted to the ICU: A Multisite Cohort Study.

IMPORTANCE: Prognostication following ICU admission can often be determined based on known risk factors, including demographics and illness severity; however, little is known about outcomes of patients deemed to be "low-risk" at the time of hospital admission who subsequently are admitted to the ICU. OBJECTIVES: The objectives of this study were to determine the characteristics, outcomes, and costs for patients requiring ICU admission despite having lower predicted mortality when they were admitted to the hospital. DESIGN SETTING AND PARTICIPANTS: In this historical cohort study, we used a prospectively maintained ICU registry that included all ICU admissions to The Ottawa Hospital for patients 18 years or older from January 2011 to December 2016. We classified patients as low-risk using the Hospital-patient 1-year Mortality Risk at admission score, a hospital admission score validated to predict 1-year mortality. MAIN OUTCOMES AND MEASURES: The primary outcome was inhospital mortality. Secondary outcomes included adverse events, resource utilization, and costs. RESULTS: Of the 17,173 total ICU patients, 3,445 (20.1%) were classified as low-risk at hospital admission. Low-risk patients were younger (48.7 vs 67.5 yr; p < 0.001) and had a lower Multiple Organ Dysfunction Score (2.37 vs 4.14; p < 0.001). Mortality for low-risk patients was significantly lower than for non-low-risk patients (4.1% vs 25.4%; p < 0.001). For low-risk patients, multivariable logistic regression showed mortality was independently associated with older age (odds ratio, 1.02 per 1 yr; 95% CI, 1.00-1.03 per 1 yr), Multiple Organ Dysfunction Score (odds ratio, 1.42 per 1 point; 95% CI, 1.31-1.54 per 1 point), fluid management adverse events (odds ratio, 2.84; 95% CI, 1.29-6.25), hospital-acquired infections (odds ratio, 1.60; 95% CI, 1.02-2.51), and mechanical ventilation (odds ratio, 1.98; 95% CI, 1.20-3.26). CONCLUSIONS AND RELEVANCE: Despite their robust premorbid status, low-risk patients admitted to the ICU had significant inhospital mortality. Fluid management adverse events, hospital-associated infections, multiple organ dysfunction, and mechanical ventilation are important prognostic factors for low-risk patients.