Evaluating methods for risk prediction of Covid-19 mortality in nursing home residents before and after vaccine availability: a retrospective cohort study.

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. We included all residents diagnosed with SARS-CoV-2 and living in NHs between March 2020 and July 2021. We employed five machine learning algorithms to predict COVID-19 mortality, including logistic regression, LASSO regression, classification and regression trees (CART), random forests, and gradient boosted trees. The discriminative performance of the models was evaluated using the area under the receiver operating characteristic curve (AUC) for each model using 10-fold cross-validation. Model calibration was determined through evaluation of calibration slopes. Variable importance was calculated by repeatedly and randomly permutating the values of each predictor in the dataset and re-evaluating the model's performance. RESULTS: A total of 14,977 NH residents and 20 resident characteristics were included in the model. The cross-validated AUCs were similar across algorithms and ranged from 0.64 to 0.67. Gradient boosted trees and logistic regression had an AUC of 0.67 pre- and post-vaccine availability. CART had the lowest discrimination ability with an AUC of 0.64 pre-vaccine availability, and 0.65 post-vaccine availability. The most influential resident characteristics, irrespective of vaccine availability, included advanced age (≥ 75 years), health instability, functional and cognitive status, sex (male), and polypharmacy. CONCLUSIONS: The predictive accuracy and discrimination exhibited by all five examined machine learning algorithms were similar. Both logistic regression and gradient boosted trees exhibit comparable performance and display slight superiority over other machine learning algorithms. We observed consistent model performance both before and after vaccine availability. The influence of resident characteristics on COVID-19 mortality remained consistent across time periods, suggesting that changes to pre-vaccination screening practices for high-risk individuals are effective in the post-vaccination era.

A Case of Tizanidine Withdrawal and Road to Recovery.

This case report highlights the complexities of tizanidine withdrawal in a 68-year-old woman with chronic pain. Tizanidine, a widely used imidazole-derived muscle relaxant, poses challenges due to the absence of standardized withdrawal protocols. The patient's presentation included hypertension and tachycardia following a gradual reduction in her outpatient tizanidine dose. During the de-escalation of tizanidine, the patient experienced withdrawal symptoms, including severe body aches, hypertension, and tachycardia. Management during withdrawal involved a unique approach using a one-time dose of phenobarbital, a measure that allowed the resolution of hemodynamic instability and pain with complete discontinuation of tizanidine. The ultimate decision to transition the patient to methocarbamol and stop taking tizanidine for pain control highlights the importance of individualized care. The patient has responded to this therapy upon follow-up.

Evaluating the Association between the Implementation of the PoET (Prevention of Error-Based Transfers) Southwest Spread Project and Palliative Care Provision: A Quasi-Experimental Matched Cohort Study Using Population-Level Health Administrative Data.

OBJECTIVES: The PoET (Prevention of Error-based Transfers) project seeks to align long-term care (LTC) home informed consent practices to existing legislation, thereby reducing consent-related error-based transfers to acute care. We sought to measure changes in resident-level palliative care provision after participating in the PoET Southwest Spread Project (PSSP), and to identify patient and LTC home characteristics associated with palliative care provision. DESIGN: Quasi-experimental matched (1:1 ratio) cohort study design using linked population-based health administrative data. SETTING: Sixty LTC homes (PSSP = 30; Control = 30) in Ontario, Canada, from November 2019 to December 2021. METHODS: We matched 30 PSSP to 30 control homes and described incidence rates for resident-level palliative care provision (ie, physician palliative care encounters and palliative medication prescriptions) during the 7-month postimplementation period. We used generalized linear mixed models to evaluate the association between PSSP implementation and palliative care provision during the postimplementation period. We adjusted for resident-level characteristics (ie, age, sex, comorbidity status) and home-level characteristics (ie, rurality status, profit model, COVID-19 impact). We identified a decedent subcohort to measure palliative care provision patterns during the last 2 months of life. RESULTS: We captured a matched cohort of 8894 residents (PSSP = 4103; Control = 4791). Incidence rates of palliative care encounters increased during the postimplementation period for PSSP (82.6 to 85.4 per 100 person-months) but not for control residents (68.8 to 65.3 per 100 person-months). After adjusting for key covariates, PSSP exposure was associated increased palliative care provision (incidence rate ratio 2.47, 95% CI 2.31-2.64) and palliative care medication prescription (1.16, 95% CI 1.12-1.20). Larger home size, certain health regions, and higher number of comorbidities were associated with increased physician palliative care encounters. CONCLUSIONS AND IMPLICATIONS: By promoting correct informed consent practices in LTC, PSSP participation increased palliative care provision for PSSP LTC residents across all settings.

Fully automated deep learning based auto-contouring of liver segments and spleen on contrast-enhanced CT images.

Manual delineation of liver segments on computed tomography (CT) images for primary/secondary liver cancer (LC) patients is time-intensive and prone to inter/intra-observer variability. Therefore, we developed a deep-learning-based model to auto-contour liver segments and spleen on contrast-enhanced CT (CECT) images. We trained two models using 3d patch-based attention U-Net ([Formula: see text] and 3d full resolution of nnU-Net ([Formula: see text] to determine the best architecture ([Formula: see text]. BA was used with vessels ([Formula: see text] and spleen ([Formula: see text] to assess the impact on segment contouring. Models were trained, validated, and tested on 160 ([Formula: see text]), 40 ([Formula: see text]), 33 ([Formula: see text]), 25 (CCH) and 20 (CPVE) CECT of LC patients. [Formula: see text] outperformed [Formula: see text] across all segments with median differences in Dice similarity coefficients (DSC) ranging 0.03-0.05 (p < 0.05). [Formula: see text], and [Formula: see text] were not statistically different (p > 0.05), however, both were slightly better than [Formula: see text] by DSC up to 0.02. The final model, [Formula: see text], showed a mean DSC of 0.89, 0.82, 0.88, 0.87, 0.96, and 0.95 for segments 1, 2, 3, 4, 5-8, and spleen, respectively on entire test sets. Qualitatively, more than 85% of cases showed a Likert score [Formula: see text] 3 on test sets. Our final model provides clinically acceptable contours of liver segments and spleen which are usable in treatment planning.

Potentially modifiable risk factors for dementia and mild cognitive impairment: an umbrella review and meta-analysis.

Introduction The prevalence of mild and major neurocognitive disorders (NCDs), also referred to as mild cognitive impairment and dementia, is rising globally. The prevention of NCDs is a major global public health interest. We sought to synthesize the literature on potentially modifiable risk factors for NCDs. Methods We conducted an umbrella review using a systematic search across multiple databases to identify relevant systematic reviews and meta-analyses. Eligible reviews examined potentially modifiable risk factors for mild or major NCDs. We used a random effects multi-level meta-analytic approach to synthesize risk ratios for each risk factor while accounting for overlap in the reviews. We further examined risk factors for major NCD due to two common etiologies: Alzheimer's disease and vascular dementia. Results A total of 45 reviews with 212 meta-analyses were synthesized. We identified fourteen broadly defined modifiable risk factors that were significantly associated with these disorders: alcohol consumption, body weight, depression, diabetes mellitus, diet, hypertension, less education, physical inactivity, sensory loss, sleep disturbance, smoking, social isolation, traumatic brain injury, and vitamin D deficiency. All 14 factors were associated with the risk of major NCD, and five were associated with mild NCD. We found considerably less research for vascular dementia and mild NCD. Conclusion Our review quantifies the risk associated with 14 potentially modifiable risk factors for mild and major NCDs, including several factors infrequently included in dementia action plans. Prevention strategies should consider approaches that reduce the incidence and severity of these risk factors through health promotion, identification, and early management.

Measures of retention in HIV care: A protocol for a mixed methods study.

INTRODUCTION: Retention in HIV care is necessary to achieve adherence to antiretroviral therapy, viral load suppression, and optimal health outcomes. There is no standard definition for retention in HIV care, which compromises consistent and reliable reporting and comparison of retention across facilities, jurisdictions, and studies. OBJECTIVE: The objective of this study is to explore how stakeholders involved in HIV care define retention in HIV care and their preferences on measuring retention. METHODS: We will use an exploratory sequential mixed methods design involving HIV stakeholder groups such as people living with HIV, people involved in providing care for PLHIV, and people involved in decision-making about PLHIV. In the qualitative phase of the study, we will conduct 20-25 in-depth interviews to collect the perspectives of HIV stakeholders on using their preferred retention measures. The findings from the qualitative phase will inform the development of survey items for the quantitative phase. Survey participants (n = 385) will be invited to rate the importance of each approach to measuring retention on a seven-point Likert scale. We will merge the qualitative and quantitative findings phase findings to inform a consensus-building framework for a standard definition of retention in care. ETHICAL ISSUES AND DISSEMINATION: This study has received ethics approval from the Hamilton Integrated Research Ethics Board. The findings will be disseminated through peer-reviewed publications, conference presentations, and among stakeholder groups. LIMITATIONS: This study has limitations; we won't be able to arrive at a standard definition; a Delphi technique amongst the stakeholders will be utilized using the framework to reach a consensus globally accepted definition.

Short-term mortality and palliative care use after delayed hospital discharge: a population-based retrospective cohort study.

OBJECTIVES: In Canada, patients whose acute medical issues have been resolved but are awaiting discharge from hospital are designated as alternate level of care (ALC). We investigated short-term mortality and palliative care use following ALC designation in Ontario, Canada. METHODS: We conducted a population-based retrospective cohort study of adult, acute care hospital admissions in Ontario with an ALC designation between January and December 2021. Our follow-up window was until 90 days post-ALC designation or death. Setting of discharge and death was determined using admission and discharge dates from multiple databases. We measured palliative care using physician billings, inpatient palliative care records and palliative home care records. We compared the characteristics of ALC patients by 90-day survival status and compared palliative care use across settings of discharge and death. RESULTS: We included 54 839 ALC patients with a median age of 80 years. Nearly one-fifth (18.4%) of patients died within 90 days. Patients who died were older, had more comorbid conditions and were more likely to be male. Among those who died, 35.1% were never discharged from hospital and 20.3% were discharged but ultimately died in the hospital. The majority of people who died received palliative care following their ALC designation (68.1%). CONCLUSIONS: A significant proportion of patients experiencing delayed discharge die within 3 months, with the majority dying in hospitals despite being identified as ready to be discharged. Future research should examine the adequacy of palliative care provision for this population.

The Viability and Acceptability of a Virtual Wound Care Command Centre in Australia.

The objective of this study was to assess the viability and acceptability of an innovative Virtual Wound Care Command Centre where patients in the community, and their treating clinicians, have access to an expert wound specialist service that comprises a digital wound application (app) for wound analysis, decision-making, remote consultation, and monitoring. Fifty-one patients with chronic (42.6%) wounds were healed, with a median time to healing of 66 (95% CI: 56-88) days. All patients reported high satisfaction with their wound care, 86.4% of patients recommended the Virtual Wound Care Command Centre with 84.1% of patients reporting the app as easy to use. The data revealed that the Virtual Wound Care Command Centre was a viable and acceptable patient-centred expert wound consultation service for chronic wound patients in the community.

Reshaping Wound Care: Evaluation of an Artificial Intelligence App to Improve Wound Assessment and Management.

This study evaluated the usability and effectiveness of an artificial intelligence application for wound assessment and management from a clinician-and-patient perspective. A quasi-experimental design was conducted in four settings in an Australian health service. Data were collected from patients in the standard (n=166,243 wounds) and intervention (n=124,184 wounds) group, at baseline and post-intervention. Clinicians completed a survey (n=10) and focus group (n=13) and patients were interviewed (n=4). Wound documentation were analysed descriptively, bivariate statistics determined between-group differences, and interviews were thematically analysed. Compared with the standard group, wound documentation in the intervention group improved significantly (<2 items documented 24% vs 70%, P < .001). During the intervention, 101/132 wounds improved (mean wound size reduction=53.99%). Positive evaluations included instantaneous objective wound assessment, shared wound plans increased patient adherence and enhanced efficiency in providing virtual care. Application use facilitated remote patient monitoring and reduced patient travel time while maintaining optimal wound care.

Primary care quality for older adults: Practice-based quality measures derived from a RAND/UCLA appropriateness method study.

We established consensus on practice-based metrics that characterize quality of care for older primary care patients and can be examined using secondary health administrative data. We conducted a two-round RAND/UCLA Appropriateness Method (RAM) study and recruited 10 Canadian clinicians and researchers with expertise relevant to the primary care of elderly patients. Informed by a literature review, the first RAM round evaluated the appropriateness and importance of candidate quality measures in an online questionnaire. Technical definitions were developed for each endorsed indicator to specify how the indicator could be operationalized using health administrative data. In a virtual synchronous meeting, the expert panel offered feedback on the technical specifications for the endorsed indicators. Panelists then completed a second (final) questionnaire to rate each indicator and corresponding technical definition on the same criteria (appropriateness and importance). We used statistical integration to combine technical expert panelists' judgements and content analysis of open-ended survey responses. Our literature search and internal screening resulted in 61 practice-based quality indicators for rating. We developed technical definitions for indicators endorsed in the first questionnaire (n = 55). Following the virtual synchronous meeting and second questionnaire, we achieved consensus on 12 practice-based quality measures across four Priority Topics in Care of the Elderly. The endorsed indicators provide a framework to characterize practice- and population-level encounters of family physicians delivering care to older patients and will offer insights into the outcomes of their care provision. This study presented a case of soliciting expert feedback to develop measurable practice-based quality indicators that can be examined using administrative data to understand quality of care within population-based data holdings. Future work will refine and operationalize the technical definitions established through this process to examine primary care provision for older adults in a particular context (Ontario, Canada).

Navigating the Challenges of Takayasu Arteritis in a 26-Year-Old Female With Recurrent Chest Pain and a Complex Medical History.

Takayasu arteritis, a rare and complex vasculitis, presents unique diagnostic and management challenges, particularly when encountered in young adults. We present the case of a 26-year-old female with obesity, prediabetes, hepatic steatosis, an adnexal cyst, Helicobacter pylori gastritis, and asthma, who was transferred to our facility due to concerns about aortitis. Her presentation to the referring institution included dysphagia, heartburn that responded to over-the-counter antacids, and recurrent episodes of stabbing chest pain, which had been occurring intermittently since the age of 17. Previous visits to the emergency room for these symptoms had been approached as gastritis, the last being two weeks before this episode. On evaluation, laboratory findings revealed elevated inflammatory markers, and subsequent imaging studies identified extensive circumferential wall thickening of the ascending thoracic aorta, suggestive of aortitis, and the patient was transferred to our institution. The patient's complex medical history and psychosocial stressors, including estrangement from her family, added to the intricacies of her case. Rheumatology consultation was instrumental in guiding further evaluation and management. A diagnosis of Takayasu arteritis with large vessel vasculitis was considered, supported by positron emission tomography-computed tomography findings showing significant metabolic activity in major arteries. The patient was initiated on prednisone therapy, Pneumocystis jirovecii pneumonia prophylaxis, and methotrexate. Ongoing monitoring for disease activity and medication side effects was emphasized. This case highlights the importance of considering rare conditions such as Takayasu arteritis in young adults with atypical presentations and underscores the need for comprehensive, multidisciplinary care that addresses not only the medical aspects but also the psychosocial well-being of the patient.

Protocol for validating an algorithm to identify neurocognitive disorders in Canadian Longitudinal Study on Aging participants: an observational study.

INTRODUCTION: In population-based research, disease ascertainment algorithms can be as accurate as, and less costly than, performing supplementary clinical examinations on selected participants to confirm a diagnosis of a neurocognitive disorder (NCD), but they require cohort-specific validation. To optimise the use of the Canadian Longitudinal Study on Aging (CLSA) to understand the epidemiology and burden of NCDs, the CLSA Memory Study will validate an NCD ascertainment algorithm to identify CLSA participants with these disorders using routinely acquired study data. METHODS AND ANALYSIS: Up to 600 CLSA participants with equal numbers of those likely to have no NCD, mild NCD or major NCD based on prior self-reported physician diagnosis of a memory problem or dementia, medication consumption (ie, cholinesterase inhibitors, memantine) and/or self-reported function will be recruited during the follow-up 3 CLSA evaluations (started August 2021). Participants will undergo an assessment by a study clinician who will also review an informant interview and make a preliminary determination of the presence or absence of an NCD. The clinical assessment and available CLSA data will be reviewed by a Central Review Panel who will make a final categorisation of participants as having (1) no NCD, (2) mild NCD or, (3) major NCD (according to fifth version of the Diagnostic and Statistical Manual of Mental Disorders criteria). These will be used as our gold standard diagnosis to determine if the NCD ascertainment algorithm accurately identifies CLSA participants with an NCD. Weighted Kappa statistics will be the primary measure of agreement. Sensitivity, specificity, the C-statistic and the phi coefficient will also be estimated. ETHICS AND DISSEMINATION: Ethics approval has been received from the institutional research ethics boards for each CLSA Data Collection Site (Université de Sherbrooke, Hamilton Integrated Research Ethics Board, Dalhousie University, Nova Scotia Health Research Ethics Board, University of Manitoba, McGill University, McGill University Health Centre Research Institute, Memorial University of Newfoundland, University of Victoria, Élisabeth Bruyère Research Institute of Ottawa, University of British Columbia, Island Health (Formerly the Vancouver Island Health Authority, Simon Fraser University, Calgary Conjoint Health Research Ethics Board).The results of this work will be disseminated to public health professionals, researchers, health professionals, administrators and policy-makers through journal publications, conference presentations, publicly available reports and presentations to stakeholder groups.

Single and coupled cavity mode sensing schemes using a diagnostic field.

Precise optical mode matching is of critical importance in experiments using squeezed-vacuum states. Automatic spatial-mode matching schemes have the potential to reduce losses and improve loss stability. However, in quantum-enhanced coupled-cavity experiments, such as gravitational-wave detectors, one must also ensure that the sub-cavities are also mode matched. We propose what we believe to be a new mode sensing scheme, which works for simple and coupled cavities. The scheme requires no moving parts, nor tuning of Gouy phases. Instead a diagnostic field tuned to the HG20/LG10 mode frequency is used. The error signals are derived to be proportional to the difference in waist position, and difference in Rayleigh ranges, between the sub-cavity eigenmodes. The two error signals are separable by 90 degrees of demodulation phase. We demonstrate reasonable error signals for a simplified Einstein Telescope optical design. This work will facilitate routine use of extremely high levels of squeezing in current and future gravitational-wave detectors.

Intraprocedural Versus Initial Follow-up Minimal Ablative Margin Assessment After Colorectal Liver Metastasis Thermal Ablation: Which One Better Predicts Local Outcomes?

OBJECTIVES: The aim of this study was to investigate the prognostic value of 3-dimensional minimal ablative margin (MAM) quantified by intraprocedural versus initial follow-up computed tomography (CT) in predicting local tumor progression (LTP) after colorectal liver metastasis (CLM) thermal ablation. MATERIALS AND METHODS: This single-institution, patient-clustered, tumor-based retrospective study included patients undergoing microwave and radiofrequency ablation between 2016 and 2021. Patients without intraprocedural and initial follow-up contrast-enhanced CT, residual tumors, or with follow-up less than 1 year without LTP were excluded. Minimal ablative margin was quantified by a biomechanical deformable image registration method with segmentations of CLMs on intraprocedural preablation CT and ablation zones on intraprocedural postablation and initial follow-up CT. Prognostic value of MAM to predict LTP was tested using area under the curve and competing-risk regression model. RESULTS: A total of 68 patients (mean age ± standard deviation, 57 ± 12 years; 43 men) with 133 CLMs were included. During a median follow-up of 30.3 months, LTP rate was 17% (22/133). The median volume of ablation zone was 27 mL and 16 mL segmented on intraprocedural and initial follow-up CT, respectively (P < 0.001), with corresponding median MAM of 4.7 mm and 0 mm, respectively (P < 0.001). The area under the curve was higher for MAM quantified on intraprocedural CT (0.89; 95% confidence interval [CI], 0.83-0.94) compared with initial follow-up CT (0.66; 95% CI, 0.54-0.76) in predicting 1-year LTP (P < 0.001). An MAM of 0 mm on intraprocedural CT was an independent predictor of LTP with a subdistribution hazards ratio of 11.9 (95% CI, 4.9-28.9; P < 0.001), compared with 2.4 (95% CI, 0.9-6.0; P = 0.07) on initial follow-up CT. CONCLUSIONS: Ablative margin quantified on intraprocedural CT significantly outperformed initial follow-up CT in predicting LTP and should be used for ablation endpoint assessment.

The association between patients' timely access to their usual primary care physician and use of walk-in clinics in Ontario, Canada: a cross-sectional study.

BACKGROUND: Challenges in timely access to one's usual primary care physician and the ongoing use of walk-in clinics have been major health policy issues in Ontario for over a decade. We sought to determine the association between patient-reported timely access to their usual primary care physician or clinic and their use of walk-in clinics. METHODS: We conducted a cross-sectional study of Ontario residents who had a primary care physician by linking population-based administrative data to Ontario's Health Care Experience Survey, collected between 2013 and 2020. We described sociodemographic characteristics and health care use for users of walk-in clinics and nonusers. We measured the adjusted association between self-reported same-day or next-day access and after-hours access to usual primary care physicians or clinics and the use of walk-in clinics in the previous 12 months. RESULTS: Of the 60 935 total responses from people who had a primary care physician, 16 166 (weighted 28.6%, unweighted 26.5%) reported visiting a walk-in clinic in the previous 12 months. Compared with nonusers, those who used walk-in clinics were predominantly younger, lived in large and medium-sized urban areas and reported a tight, very tight or poor financial situation. Respondents who reported poor same-day or next-day access to their primary care physician or clinic were more likely to report having attended a walk-in clinic in the previous 12 months than those with better access (adjusted odds ratio [OR] 1.23, 95% confidence interval [Cl] 1.13-1.34). Those who reported being unaware that their primary care physician offered after-hours care had a higher likelihood of going to a walk-in clinic (adjusted OR 1.14, 95% Cl 1.07-1.21). INTERPRETATION: In this population-based health survey, patient-reported use of walk-in clinics was associated with a reported lack of access to same-day or next-day care and unawareness of after-hours care by respondents' usual primary care physicians. These findings could inform policies to improve access to primary care, while preserving care continuity.

Development of practice-based quality indicators for the primary care of older adults: a RAND/UCLA Appropriateness Method study protocol.

INTRODUCTION: Older adults have high rates of primary care utilisation, and quality primary care has the potential to address their complex medical needs. Family physicians have different levels of knowledge and skills in caring for older patients, which may influence the quality of care delivery and resulting health outcomes. In this study, we aim to establish consensus on practice-based metrics that characterise quality of care for older primary care patients and can be examined using secondary, administrative data. METHODS AND ANALYSIS: We describe a two-round RAND/UCLA Appropriateness Method (RAM) study to assess the consensus of a technical expert panel. We will recruit pan-Canadian experts who demonstrate excellence in clinical practice or scholarship related to the primary care of older adults. A literature review will generate a candidate list of practice-based quality indicators. The first round aims to evaluate the appropriateness and importance of candidate indicators through an online questionnaire. We will then develop technical definitions for each endorsed indicator using ICES data holdings. Panellists will offer feedback on the technical definitions in a virtual synchronous meeting and provide ratings on the same criteria in a second questionnaire. ETHICS AND DISSEMINATION: Our study has been approved by the Hamilton Integrated Research Ethics Board (Project ID #15545). Findings will be disseminated via manuscripts, presentations and the lead author's thesis. TRIAL REGISTRATION NUMBER: ISRCTN17074347.

Recent functional decline and outpatient follow-up after hospital discharge: a cohort study.

BACKGROUND: Functional decline is common following acute hospitalization and is associated with hospital readmission, institutionalization, and mortality. People with functional decline may have difficulty accessing post-discharge medical care, even though early physician follow-up has the potential to prevent poor outcomes and is integral to high-quality transitional care. We sought to determine whether recent functional decline was associated with lower rates of post-discharge physician follow-up, and whether this association changed during the COVID-19 pandemic, given that both functional decline and COVID-19 may affect access to post-discharge care. METHOD: We conducted a retrospective cohort study using health administrative data from Ontario, Canada. We included patients over 65 who were discharged from an acute care facility during March 1st, 2019 - January 31st, 2020 (pre-COVID-19 period), and March 1st, 2020 - January 31st, 2021 (COVID-19 period), and who were assessed for home care while in hospital. Patients with and without functional decline were compared. Our primary outcome was any physician follow-up visit within 7 days of discharge. We used propensity score weighting to compare outcomes between those with and without functional decline. RESULTS: Our study included 21,771 (pre-COVID) and 17,248 (COVID) hospitalized patients, of whom 15,637 (71.8%) and 12,965 (75.2%) had recent functional decline. Pre-COVID, there was no difference in physician follow-up within 7 days of discharge (Functional decline 45.0% vs. No functional decline 44.0%; RR = 1.02, 95% CI 0.98-1.06). These results did not change in the COVID-19 period (Functional decline 51.1% vs. No functional decline 49.4%; RR = 1.03, 95% CI 0.99-1.08, Z-test for interaction p = 0.72). In the COVID-19 cohort, functional decline was associated with having a 7-day physician virtual visit (RR 1.15; 95% CI 1.08-1.24) and a 7-day physician home visit (RR 1.64; 95% CI 1.10-2.43). CONCLUSIONS: Functional decline was not associated with reduced 7-day post-discharge physician follow-up in either the pre-COVID-19 or COVID-19 periods. In the COVID-19 period, functional decline was positively associated with 7-day virtual and home-visit follow-up.

Evaluating the Association between the Implementation of the PoET Southwest Spread Project and Reductions in Acute Care Transfers from Long-Term Care: A Quasi-Experimental Matched Cohort Study Using Population-Level Health Administrative Data.

OBJECTIVES: To measure changes in resident-level acute care transfer rates after the PoET Southwest Spread Project (PSSP), and to identify patient and long-term care (LTC) home characteristics associated with acute care transfers after program launch. DESIGN: Quasi-experimental matched (1:1 ratio) cohort study design using linked population-based health administrative data. SETTING: Sixty publicly funded LTC homes (PSSP = 30; control = 30) in Ontario, Canada, from November 2019 to December 2021. METHODS: We matched 30 PSSP homes to 30 control homes with similar characteristics and described incidence rates for resident-level acute care transfers during the 7-month post-implementation period. We used generalized linear mixed models to evaluate the association between PSSP implementation and acute care transfers during the post-implementation period. We adjusted resident-level characteristics (ie, age, sex, comorbidity status) and home-level characteristics (ie, rurality status, profit model, COVID-19 impact). We identified a decedent sub-cohort to measure transfer patterns during the last 2 months of life. RESULTS: A matched cohort of 8894 residents (PSSP = 4103; control = 4791) was captured. Incidence rates of transfers increased during the post-implementation period for both PSSP (78.8 to 80.9 transfers per 1000 person-months) and control residents (66.9 to 67.9 transfers per 1000 person-months). After adjusting for covariates of interest, PSSP exposure was associated with a reduction in acute care transfers during the post-implementation period after adjusting for covariates (incidence rate ratio, 0.73; 95% CI, 0.62-0.87; P = .0002). Older age and select health regions were associated with reduced transfers, whereas higher comorbidity status and higher COVID-19 outbreak days were associated with increases. Similar patterns persisted for transfers during the last 2 months of life. CONCLUSIONS AND IMPLICATIONS: This study systematically evaluated the impact of an ethics-based health care intervention in LTC using health care utilization databases. PoET implementation is associated with reduced acute care transfer rates, especially in the last 2 months of life in LTC.

How do perceptions of Covid-19 risk impact pregnancy-related health decisions? A convergent parallel mixed-methods study protocol.

INTRODUCTION: Pregnant people have a higher risk of severe COVID-19 disease. They have been disproportionately impacted by COVID-19 infection control policies, which exacerbated conditions resulting in intimate partner violence, healthcare access, and mental health distress. This project examines the impact of accumulated individual health decisions and describes how perinatal care and health outcomes changed during the COVID-19 pandemic. OBJECTIVES: Quantitative strand: Describe differences between 2019, 2021, and 2022 birth groups related to maternal vaccination, perinatal care, and mental health care. Examine the differential impacts on racialized and low-income pregnant people.Qualitative strand: Understand how pregnant people's perceptions of COVID-19 risk influenced their decision-making about vaccination, perinatal care, social support, and mental health. METHODS AND ANALYSIS: This is a Canadian convergent parallel mixed-methods study. The quantitative strand uses a retrospective cohort design to assess birth group differences in rates of Tdap and COVID-19 vaccination, gestational diabetes screening, length of post-partum hospital stay, and onset of depression, anxiety, and adjustment disorder, using administrative data from ICES, formerly the Institute for Clinical Evaluative Sciences (Ontario) and PopulationData BC (PopData) (British Columbia). Differences by socioeconomic and ethnocultural status will also be examined. The qualitative strand employs qualitative description to interview people who gave birth between May 2020- December 2021 about their COVID-19 risk perception and health decision-making process. Data integration will occur during design and interpretation. ETHICS AND DISSEMINATION: This study received ethical approval from McMaster University and the University of British Columbia. Findings will be disseminated via manuscripts, presentations, and patient-facing infographics. TRIAL REGISTRATION: Registration: Clinicaltrials.gov registration number: NCT05663762.

Physician continuity of care in the last year of life in community-dwelling adults: retrospective population-based study.

OBJECTIVE: To describe the timing of involvement of various physician specialties over the last year of life across different levels of primary care physician continuity for differing causes of death. METHODS: We conducted a retrospective cohort study of adults who died in Ontario, Canada, between 1 January 2013 and 31 December 2018, using linked population level health administrative data. Outcomes were median days between death and first and last outpatient palliative care specialist encounter, last outpatient encounter with other specialists and with the usual primary care physician. These were calculated by tertile of score on the Usual Provider Continuity Index, defined as the proportion of outpatient physician encounters with the patient's primary care physician. RESULTS: Patients' (n=395 839) mean age at death was 76 years. With increasing category of usual primary care physician continuity, a larger proportion were palliative care generalists, palliative care specialist involvement decreased in duration and was concentrated closer to death, the primary care physician was involved closer to death, and other specialist physicians ceased involvement earlier. For patients with cancer, palliative care specialist involvement was longer than for other patients. CONCLUSIONS: Compared with patients with lower continuity, those with higher usual provider continuity were more likely to have a primary care physician involved closer to death providing generalist palliative care.