Publications by authors named "Mowbray F"

Background: Digital health tools can significantly contribute to the continuum of care and support for persons with their self-management role. Despite the increasing adoption of digital health tools, little is known about the uptake and comfort of use among older persons.

Methods: A mixed methods design was used to assess the feasibility and utility of the check-up (CU), a self-administered digital health assessment for older persons.

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Background: Data on the predictors of nonmedical problems (NMP) in older adults attending the emergency department (ED) for low acuity conditions is lacking and could help rapid identification of patients with NMP and integration of these needs into care planning.

Objectives: To determine the prevalence and predictors of NMP among older adults attending EDs for low acuity conditions.

Methods: Prospective cohort study in eight EDs (May-August 2021).

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Background: Prognostic models incorporate multiple prognostic factors to estimate the likelihood of future events for individual patients based on their prognostic factor values. Evaluating these models crucially involves conducting studies to assess their predictive performance, like discrimination. Systematic reviews and meta-analyses of these validation studies play an essential role in selecting models for clinical practice.

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Background: SARS-CoV-2 vaccines are effective in reducing hospitalization, COVID-19 symptoms, and COVID-19 mortality for nursing home (NH) residents. We sought to compare the accuracy of various machine learning models, examine changes to model performance, and identify resident characteristics that have the strongest associations with 30-day COVID-19 mortality, before and after vaccine availability.

Methods: We conducted a population-based retrospective cohort study analyzing data from all NH facilities across Ontario, Canada.

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Introduction: The Emergency Department Avoidability Classification (EDAC) retrospectively classifies emergency department (ED) visits that could have been safely managed in subacute primary care settings, but has not been validated against a criterion standard. A validated EDAC could enable accurate and reliable quantification of avoidable ED visits. We compared agreement between the EDAC and ED physician judgements to specify avoidable ED visits.

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Article Synopsis
  • The study investigates how resident frailty and home-level characteristics impact COVID-19 mortality among long-term care (LTC) residents in Ontario, Canada, both before and after COVID-19 vaccinations became available.
  • It analyzes data from over 14,000 confirmed COVID-19 cases in LTC homes, revealing a higher mortality rate during the pre-vaccine period and that frailty is a strong predictor of mortality regardless of vaccination status.
  • The findings suggest that while frailty significantly correlates with COVID-19 mortality, factors related to the LTC homes themselves do not account for considerable variations in mortality rates.
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Article Synopsis
  • * Out of 1061 participants aged 65 and older, 5.1% reported experiencing elder abuse, with various factors such as being female, financial difficulties, and existing mental health issues identified as significant predictors.
  • * The findings suggest that ED professionals should be more vigilant in screening for elder abuse due to its notable prevalence and the associated risks to the health and safety of older adults.
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Introduction: While overdoses comprise the majority of opioid research, the comprehensive impact of the opioid crisis on emergency departments (EDs) and paramedic services has not been reported. We examined temporal changes in population-adjusted incidence rates of ED visits and paramedic transports due to opioid-related conditions.

Materials And Methods: We conducted a population-based cohort study of all ED visits in the National Ambulatory Care Reporting System from January 1, 2009 to December 31, 2019 in Ontario, Canada.

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Introduction: The closest emergency department (ED) may not always be the optimal hospital for certain stable high acuity patients if further distanced ED's can provide specialized care or are less overcrowded. Machine learning (ML) predictions may support paramedic decision-making to transport a subgroup of emergent patients to a more suitable, albeit more distanced, ED if hospital admission is unlikely. We examined whether characteristics known to paramedics in the prehospital setting were predictive of hospital admission in emergent acuity patients.

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Background: Nurses comprise over half of the global health care workforce, and the nursing care they provide is critical for the global population's health. High patient volumes and increased medical complexity have increased the workload and stress of nurses. As a result, the health of nurses is often negatively impacted.

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Aim: To evaluate the association between frailty and post-cardiac arrest survival, functional decline, and cognitive decline, among patients receiving home care.

Methods: Frailty was measured using the Clinical Frailty Scale (CFS) and a valid frailty index. We used multivariable logistic regression to measure the association between frailty and post-arrest outcomes after adjusting for age, sex, and arrest setting.

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Objectives: To study the prevalence of COVID-19 health protective behaviours before and after rules eased in England on the 19 July 2021.

Design: Observational study pre (12-18 July) and post (26 July-1 August) 19 July, and a cross-sectional online survey (26 to 27 July).

Setting: Observations occurred in supermarkets (n = 10), train stations (n = 10), bus stops (n = 10), a coach station (n = 1) and a London Underground station (n = 1).

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Objective: Paramedics redirecting non-emergent patients from emergency departments (EDs) to urgent care centres is a new and forthcoming strategy to reduce overcrowding and improve primary care integration. Which patients are likely not suitable for paramedic redirection are unknown. To describe and specify patients inappropriate for urgent care centres, we examined associations between patient characteristics and transfer to the ED after patients initially presented to an urgent care centre.

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Objectives: To evaluate the agreement between three emergency department (ED) vulnerability screeners, including the InterRAI ED Screener, ER, and PRISMA-7. Our secondary objective was to evaluate the discriminative accuracy of screeners in predicting discharge home and extended ED lengths-of-stay (> 24 h).

Methods: We conducted a nested sub-group study using data from a prospective multi-site cohort study evaluating frailty in older ED patients presenting to four Quebec hospitals.

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Background: The Hospital Frailty Risk Score (HFRS) is scored using ICD-10 diagnostic codes in administrative hospital records. Home care clients in Canada are routinely assessed with Resident Assessment Instrument-Home Care (RAI-HC) which can calculate the Clinical Frailty Scale (CFS) and the Frailty Index (FI).

Objective: Measure the correlation between the HFRS, CFS and FI and compare prognostic utility for frailty-related outcomes.

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Objectives: We set out to determine the accuracy of the interRAI Emergency Department (ED) Screener in predicting the need for detailed geriatric assessment in the ED. Our secondary objective was to determine the discriminative ability of the interRAI ED Screener for predicting the odds of discharge home and extended ED length of stay (>24 hours).

Methods: We conducted a multiprovince prospective cohort study in Canada.

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Background: Emergency nurses commonly conduct geriatric assessments in the emergency department (ED). However, little is known about what geriatric syndromes or clinical presentations prompt a nurse to document an identified need for comprehensive geriatric assessment (CGA).

Objectives: To examine the association between geriatric syndromes, like frailty, and a nurse-identified need for a CGA following emergency care.

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Introduction: Redirecting suitable patients from the emergency department (ED) to alternative subacute settings may assist in reducing ED overcrowding while delivering equivalent care. The Emergency Department Avoidance Classification (EDAC) was constructed to retrospectively classify ED visits that may have been suitable for safe management in a subacute or virtual clinical setting. The EDAC has established face and content validity but has not been tested against a reference standard as a criterion.

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Aim: To evaluate the prognosis of 30-day survival post-cardiac arrest among patients receiving home care and nursing home residents.

Methods: We conducted a population-level retrospective cohort study of community-dwelling adults (≥18 years) who received cardiac arrest care at a hospital in Ontario, Canada, between 2006 to 2018. We linked population-based health datasets using the Home Care Dataset to identify patients receiving home care and the Continuing Care Reporting System to identify nursing home residents.

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Objective: To determine if nursing home (NH) resident characteristics associated with potentially preventable emergency department transfers (PPEDs) are similarly associated with non-potentially preventable emergency department transfers (non-PPEDs).

Design: We conducted a population-level retrospective cohort study using linked administrative data reported using the Resident Assessment Instrument-Minimum Data Set Version 2.0 and the National Ambulatory Care Reporting System for emergency department transfers.

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Objectives: To examine how the COVID-19 pandemic affected the demographic and clinical characteristics, in-hospital care, and outcomes of long-term care residents admitted to general medicine wards for non-COVID-19 reasons.

Methods: We conducted a retrospective cohort study of long-term care residents admitted to general medicine wards, for reasons other than COVID-19, in four hospitals in Toronto, Ontario between January 1, 2018 and December 31, 2020. We used an autoregressive linear model to estimate the change in monthly admission volumes during the pandemic period (March-December 2020) compared to the previous two years, adjusting for any secular trend.

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Article Synopsis
  • A study was conducted to assess a comprehensive behavior change intervention aimed at reducing unnecessary antibiotic use in hospitals by encouraging prescribers to make appropriate decisions during clinical reviews.
  • The research utilized a randomized controlled trial across multiple hospitals in the UK, tracking outcomes such as antibiotic dosage and patient mortality within 30 days post-admission through electronic health records and audits.
  • The effectiveness of the intervention was analyzed using time series methods and random-effects meta-analysis, with the study now completed and registered for validation.
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