Post-Pandemic Growth in 9-1-1 Paramedic Calls and Emergency Department Transports Surpasses Pre-Pandemic Rates in the COVID-19 Era: Implications for Paramedic Resource Planning.

OBJECTIVES: The COVID-19 pandemic led to a decline in emergency department (ED) visits and a subsequent return to baseline pre-pandemic levels. It is unclear if this trend extended to paramedic services and if patient cohorts accessing paramedics changed. We examined trends and associations between paramedic utilization (9-1-1 calls and ED transports) and the COVID-19 timeframe. METHODS: We conducted a retrospective cross-sectional study using paramedic call data from the Hamilton Paramedic Services from January 2016 to December 2023. We included all 9-1-1 calls where paramedics responded to an incident, excluding paramedic interfacility transfers. We calculated lines of best fit for the pre-pandemic period (January 2016 to January 2020) and compared their predictions to the actual volumes in the post-pandemic period (May 2021 to December 2023). We used an interrupted time series regression model to determine the association between pandemic timeframes (pre-, during-, post-COVID-19) and paramedic utilization (9-1-1 calls and ED transports), while testing for annual seasonality. RESULTS: During the study timeframe, 577,278 calls for paramedics were received and 413,491 (71.6%) were transported to the ED. Post-pandemic, 9-1-1 calls exceeded predicted pre-pandemic levels by 1,298 per month, while ED transports exceeded by 543 per month. The pandemic significantly reduced monthly 9-1-1 calls (-588.2, 95% CI -928.8 to -247.5) and ED transports (-677.3, 95% CI -927.0 to -427.5). Post-pandemic, there was a significant and sustained resurgence in monthly 9-1-1 calls (1,208.0, 95% CI 822.1 to 1,593.9) and ED transports (868.8, 95% CI 585.8 to 1,151.7). Both models exhibited seasonal variations. CONCLUSIONS: Post-pandemic, 9-1-1-initiated paramedic calls experienced a substantial increase, surpassing pre-pandemic growth rates. ED transports returned to pre-pandemic levels but with a steeper and continuous pattern of growth. The resurgence in paramedic 9-1-1 calls and ED transports post-COVID-19 emphasizes an urgent necessity to expedite development of new care models that address how paramedics respond to 9-1-1 calls and transport to overcrowded EDs.

Hip fracture rate and osteoporosis treatment in Ontario: A population-based retrospective cohort study.

This population-based study analyzes hip fracture and osteoporosis treatment rates among older adults, stratified by place of residence prior to fracture. Hip fracture rates were higher among older adults living in the community and discharged to long-term care (LTC) after fracture, compared to LTC residents and older adults living in the community. Only 23% of LTC residents at high fracture risk received osteoporosis treatment. PURPOSE: This population-based study examines hip fracture rate and osteoporosis management among long-term care (LTC) residents > 65 years of age compared to community-dwelling older adults at the time of fracture and admitted to LTC after fracture, in Ontario, Canada. METHODS: Healthcare utilization and administrative databases were linked using unique, encoded identifiers from the ICES Data Repository to estimate hip fractures (identified using the Public Health Agency of Canada algorithm and International Classification of Diseases (ICD)-10 codes) and osteoporosis management (pharmacotherapy) among adults > 66 years from April 1, 2014 to March 31, 2018. Sex-specific and age-standardized rates were compared by pre-fracture residency and discharge location (i.e., LTC to LTC, community to LTC, or community to community). Fracture risk was determined using the Fracture Risk Scale (FRS). RESULTS: At baseline (2014/15), the overall age-standardized hip fracture rate among LTC residents was 223 per 10,000 person-years (173 per 10,000 females and 157 per 10,000 males), 509 per 10,000 person-years (468 per 10,000 females and 320 per 10,000 males) among the community to LTC cohort, and 31.5 per 10,000 person-years (43.1 per 10,000 females and 25.6 per 10,000 males). During the 5-year observation period, the overall annual average percent change (APC) for hip fracture increased significantly in LTC (AAPC = + 8.6 (95% CI 5.0 to 12.3; p = 0.004) compared to the community to LTC group (AAPC = + 2.5 (95% CI - 3.0 to 8.2; p = 0.248)) and the community-to-community cohort (AAPC - 3.8 (95% CI - 6.7 to - 0.7; p = 030)). However, hip fracture rate remained higher in the community to LTC group over the study period. There were 33,594 LTC residents identified as high risk of fracture (FRS score 4 +), of which 7777 were on treatment (23.3%). CONCLUSION: Overall, hip fracture rates have increased in LTC and among community-dwelling adults admitted to LTC after fracture. However, hip fracture rates among community-dwelling adults have decreased over time. A non-significant increase in osteoporosis treatment rates was observed among LTC residents at high risk of fracture (FRS4 +). Residents in LTC are at very high risk for fracture and require individualized based on goals of care and life expectancy.

Compiling a Set of Actionable Quality Indicators for Medical Practitioners in Dutch Nursing Homes: A Delphi Study.

Most quality indicators (QIs) currently used in nursing homes reflect the care delivered by the entire multidisciplinary team and are not specific for medical practitioners. International experts have proposed a set of QIs that specifically reflect the quality of medical care in nursing homes. The objective of the Delphi study described here was to compile a set of actionable QIs tailored for medical practitioners working within Dutch nursing homes. This was achieved through the evaluation of 15 existing national QIs and 35 international QIs by a panel of medical practitioners, comprising medical specialists, nurse practitioners, and physician assistants, who are working in Dutch nursing homes. Panelists rated each QI on (1) level of direct control by medical practitioners and (2) its relevance to the quality of medical care. QIs progressing to subsequent rounds required panel agreement on both direct control (≥70% ≥3 points on a 4-point scale) and relevance (≥70% ≥8 on a 10-point scale). In the last round, each panelist selected the 5 most relevant QIs and arranged them in order of importance. These top 5 rankings were converted into points for an overall final ranking. There was consensus on 42 QIs being under the control of medical practitioners, and 21 of these QIs were considered relevant for quality of care. Most of the 21 QIs originated from the international QI set. This finding supports the transferability of the internationally developed QIs to the Dutch nursing home context and provides opportunities to compare the quality of medical care in nursing homes across countries. In the final ranking, the QI related to new medication prescriptions received the highest rating, followed by 3 QIs related to advance care planning. Future research should focus on evaluating the feasibility of measuring the selected QIs and assessing their measurement properties before implementing them in professional learning and quality improvement initiatives for medical practitioners in nursing homes.

Long-Term Functional Limitations and Predictors of Recovery after COVID-19: A Multicenter Prospective Cohort Study.

BACKGROUND: Limited data exist on post-severe COVID-19 functional trajectory, particularly considering premorbid status. We characterized 1-year functional recovery post-hospitalization for COVID-19, highlighting predictors of long-term recovery. METHODS: We enrolled adult patients with lab-confirmed SARS-CoV-2 infection and hospitalized for COVID-19 sequelae, from five major Ontario, Canada hospitals in a prospective cohort study. Assessments included telephone interviews on admission followed by telephone and in-person assessments at 3-, 6-, 9-, and 12-months post-discharge. The Activity-Measure for Post-Acute Care (AM-PAC) Mobility and Cognition scales were administered at baseline and every 3 months for 1 year. Secondary outcomes included symptoms, spirometry, physical performance, dyspnea, fatigue, distress, anxiety and depression, and quality of life. RESULTS: 254 patients (57.1% male) with a mean age of 60.0 (±13.1) years and an average hospital stay of 14.3 (±19.7) days agreed to participate. At 12 months, 55.3% demonstrated clinically important deficits in mobility and 38.8% had cognitive deficits compared to premorbid levels. Fatigue was reported in 44.2%, followed by difficulty walking long distances in 35.8% and dyspnea in 33.0%. Almost 40% of patients had an FEV1(% Pred) < 80% at 12 months, 60.3% had impairments in physical performance, and 44.5% had problems with anxiety or depression. Predictors of better mobility at 12 months included higher premorbid mobility status, male sex, shorter hospital stay, fewer comorbidities, and higher FEV1 (% pred) at the 3-month follow-up. CONCLUSIONS: Our study provides compelling evidence of the long-term impact of COVID-19 on functional and cognitive status 1-year post-infection.

The relationship between patient experience and real-world digital health access in primary care: A population-based cross-sectional study.

Implementing digital health technologies in primary care is anticipated to improve patient experience. We examined the relationships between patient experience and digital health access in primary care settings in Ontario, Canada. We conducted a retrospective cross-sectional study using patient responses to the Health Care Experience Survey linked to health and administrative data between April 2019-February 2020. We measured patient experience by summarizing HCES questions. We used multivariable logistic regression stratified by the number of primary care visits to investigate associations between patient experience with digital health access and moderating variables. Our cohort included 2,692 Ontario adults, of which 63.0% accessed telehealth, 2.6% viewed medical records online, and 3.6% booked appointments online. Although patients reported overwhelmingly positive experiences, we found no consistent relationship with digital health access. Online appointment booking access was associated with lower odds of poor experience for patients with three or more primary care visits in the past 12 months (adjusted odds ratio 0.16, 95% CI 0.02-0.56). Younger age, tight financial circumstances, English as a second language, and knowing their primary care provider for fewer years had greater odds of poor patient experience. In 2019/2020, we found limited uptake of digital health in primary care and no clear association between real-world digital health adoption and patient experience in Ontario. Our findings provide an essential context for ensuing rapid shifts in digital health adoption during the COVID-19 pandemic, serving as a baseline to reexamine subsequent improvements in patient experience.

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.

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.

Core requirements of frailty screening in the emergency department: an international Delphi consensus study.

INTRODUCTION: Frailty is associated with adverse outcomes among patients attending emergency departments (EDs). While multiple frailty screens are available, little is known about which variables are important to incorporate and how best to facilitate accurate, yet prompt ED screening. To understand the core requirements of frailty screening in ED, we conducted an international, modified, electronic two-round Delphi consensus study. METHODS: A two-round electronic Delphi involving 37 participants from 10 countries was undertaken. Statements were generated from a prior systematic review examining frailty screening instruments in ED (logistic, psychometric and clinimetric properties). Reflexive thematic analysis generated a list of 56 statements for Round 1 (August-September 2021). Four main themes identified were: (i) principles of frailty screening, (ii) practicalities and logistics, (iii) frailty domains and (iv) frailty risk factors. RESULTS: In Round 1, 13/56 statements (23%) were accepted. Following feedback, 22 new statements were created and 35 were re-circulated in Round 2 (October 2021). Of these, 19 (54%) were finally accepted. It was agreed that ideal frailty screens should be short (<5 min), multidimensional and well-calibrated across the spectrum of frailty, reflecting baseline status 2-4 weeks before presentation. Screening should ideally be routine, prompt (<4 h after arrival) and completed at first contact in ED. Functional ability, mobility, cognition, medication use and social factors were identified as the most important variables to include. CONCLUSIONS: Although a clear consensus was reached on important requirements of frailty screening in ED, and variables to include in an ideal screen, more research is required to operationalise screening in clinical practice.

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.

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).

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.

Validating the Emergency Department Avoidability Classification (EDAC): A cluster randomized single-blinded agreement study.

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. MATERIALS AND METHODS: We conducted a cluster randomized, single-blinded agreement study in an academic hospital in Hamilton, Canada. ED visits between January 1, 2019, and December 31, 2019 were clustered based on EDAC classes and randomly sampled evenly. A total of 160 ED visit charts were randomly assigned to ten participating ED physicians at the academic hospital for evaluation. Physicians judged if the ED visit could have been managed appropriately in subacute primary care (an avoidable visit); each ED visit was evaluated by two physicians independently. We measured interrater agreement between physicians with a Cohen's kappa and 95% confidence intervals (CI). We evaluated the correlation between the EDAC and physician judgements using a Spearman rank correlation and ordinal logistic regression with odds ratios (ORs) and 95% CIs. We examined the EDAC's precision to identify avoidable ED visits using accuracy, sensitivity and specificity. RESULTS: ED physicians agreed on 139 visits (86.9%) with a kappa of 0.69 (95% CI 0.59-0.79), indicating substantial agreement. Physicians judged 96.2% of ED visits classified as avoidable by the EDAC as suitable for management in subacute primary care. We found a high correlation between the EDAC and physician judgements (0.64), as well as a very strong association to classify avoidable ED visits (OR 80.0, 95% CI 17.1-374.9). The EDACs avoidable and potentially avoidable classes demonstrated strong accuracy to identify ED visits suitable for management in subacute care (82.8%, 95% CI 78.2-86.8). DISCUSSION: The EDAC demonstrated strong evidence of criterion validity to classify avoidable ED visits. This classification has important potential for accurately monitoring trends in avoidable ED utilization, measuring proportions of ED volume attributed to avoidable visits and informing interventions intended at reducing ED use by patients who do not require emergency or life-saving healthcare.

Factors Associated With Adolescent and Young Adult Females Attending a Fertility Consultation Within 30 Days of a Cancer Diagnosis in Ontario, Canada.

Purpose: To examine the factors associated with females attending a fertility consultation within 30 days of cancer diagnosis. Methods: This is a retrospective cohort study, including females, 15 to 39 years of age, diagnosed with cancer in Ontario, Canada. Administrative data were used from the Institute of Clinical and Evaluative Sciences for the period 2006 to 2019. A backward selection multivariate logistic regression was performed, with a primary outcome of fertility consultation within 30 days of diagnosis. Results: A total of 20,556 females were included in the study, with 7% having attended a fertility visit within 30 days of diagnosis. Factors associated with being more likely to attend included: not currently having children (odds ratio [OR] = 4.3; confidence interval [95% CI 3.6-5.1]), later years of diagnosis (OR = 3.2; 95% CI [2.8-3.8]), having undergone chemotherapy (OR = 3.6; 95% CI [3.0-4.3]) or radiation therapy (OR = 1.9; 95% CI [1.6-2.2]), and less marginalization within dependency quintiles (OR 1.4; 95% CI [1.1-1.7]). Having a cancer with lower risk to fertility (OR = 0.3; 95% CI [0.2-0.3]), death within a year of diagnosis (OR = 0.4; 95% CI [0.3-0.6]), and residing in a northern region of Ontario (OR = 0.3; 95% CI [0.2-0.4]) were associated with being less likely to attend. For sociodemographic factors, lower levels of income (OR = 0.5; 95% CI [0.4-0.6]) and marginalization with residential instability (OR = 0.6; 95% CI [0.5-0.8]) were associated with being less likely to attend a fertility consultation. Conclusions: Rates for attendance of female fertility consultations after a cancer diagnosis remain low, with disparities by both clinical and demographic factors.

Focusing on Provider Quality Measurement: Continued Consensus and Feasibility Testing of Practice-Based Quality Measures for Primary Care Providers in Long-Term Care.

Medical providers in long-term care (LTC) use a unique skillset in delivering comprehensive resident care. Publicly reported quality measures (QMs) do not directly emphasize medical provider competency and their role in care. The impact of providers is understudied and to a large extent, unknown. Our objective was to define, test, and validate QMs to pragmatically measure the practice-based quality of medical providers in a pilot study. We included 7 North American LTC homes with data from practicing medical providers for LTC residents. We engaged in a 4-phased approach. In phase 1, experts rated 95 candidate QMs using 5 pragmatic-focused criteria in a RAND-modified Delphi process. Phase 2 involved specifying 37 QMs for collection (4 QMs were dropped during pilot testing). We created an abstraction manual and data collection tool for all QMs. Phase 3 involved a retrospective chart review in 7 LTC homes on 33 QMs with trained data abstractors. Data were sufficient to analyze performance for 26 QMs. Lastly, in phase 4 results and psychometric properties were reviewed with an expert panel. They ranked the tested measures for validity and feasibility for use by a nonphysician auditor to evaluate medical provider performance based on medical record review. In total, we examined data from 343 resident charts from 7 LTC homes and 49 providers. Our process yielded 10 QMs as being specified for measurement, feasible to collect, and had good test performance. This is the only study to systematically identify a subset of QMs for feasible collection from the medical record by various data collectors. This pragmatic approach to measuring practice-based quality and quantifying select medical provider competencies allows for the evaluation of individual and facility-level performance and facilitates quality improvement initiatives. Future work should perform broader testing and validate and refine operationalized QMs.

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.

The Reset Neurotomy within a Nonidentifiable Zone of Injury after Trauma.

Recent reconstructive approaches to peripheral nerve surgery have been directed toward active approaches; one such approach is nerve grafting the injured nerve segment. Addressing a nerve injury proximal to the zone of injury has demonstrated reproducible results in preventing symptomatic neuroma formation. A 53-year-old woman with a history of an ankle fracture presented with neuritic symptoms that interfered with her activities of daily living. Her intractable pain was significantly but temporarily relieved with in-office nerve blocks to the superficial peroneal nerve and sural nerve. There were no identifiable zones of injury in the nerve conduction study. Orthopedic etiology was ruled out. Nerve allografts, each 3 cm in length, were utilized with conduits and placed at the location proximal to the zone of maximum tenderness. Once the neurotomy was performed, the nerve allografts and conduits were coapted to each nerve. The patient's intractable neuritic pain was relieved even 15 months postoperatively. The visual analog scale went from eight of 10 preoperatively to two of 10 postoperatively. Additional nerve conduction studies were not needed, and the patient returned to daily activities once the skin incisions healed. The reset neurotomy is an option for the microsurgical surgeon to have for patients with a nonidentifiable zone of injury or no identifiable neuroma but presents with intractable nerve pain relieved by local anesthetic nerve blocks.

Early humoral and cellular responses after bivalent SARS-CoV-2 mRNA-1273.214 vaccination in long-term care and retirement home residents in Ontario, Canada: An observational cohort study.

Immunogenicity of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) bivalent mRNA-1273.214 vaccine (Original/Omicron B.1.1.529 [BA.1]) is underreported in vulnerable older adults in congregate care settings. In residents of 26 long-term care and retirement homes in Ontario, Canada, humoral (i.e., serum anti-spike and anti-receptor binding domain [anti-RBD]) IgG and IgA antibodies and live SARS-CoV-2 neutralization) and cellular (i.e., CD4+ and CD8+ activation-induced marker spike-specific T cell memory) responses were assessed 7-120 days postvaccination with four monovalent mRNA vaccines (n = 494) or subsequent bivalent mRNA-1273.214 vaccination (fifth vaccine) (n = 557). Within 4 months, anti-spike and anti-RBD antibody levels were similar after monovalent and bivalent vaccination in infection-naïve individuals. Hybrid immunity (i.e., vaccination and natural infection) generally increased humoral responses. After bivalent vaccination, compared to monovalent vaccination, residents with hybrid immunity had elevated anti-spike and anti-RBD IgG and IgA antibodies. Omicron BA.1 antibody-mediated neutralization, and CD8+ T cell memory responses to the Omicron BA.1 spike protein, were also higher after bivalent vaccination. Humoral and cellular responses were, therefore, noninferior within 4 months of bivalent mRNA-1273.214 vaccination compared to monovalent mRNA vaccination. Waning of humoral but not cellular immunity was particularly evident in individuals without hybrid immunity. Continued monitoring of vaccine-associated and hybrid immunity against emerging Omicron variants of concern is necessary to assess longevity of protection.

Quantifying the escalating impact of paramedic transported emergency department visits for opioid-related conditions in Ontario, Canada: A population-based cohort study.

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. We included all patients with a primary diagnosis naming opioids as the underlying cause for the visit, without any other drugs or substances. We clustered geographic regions using Local Health Integration Network boundaries. Descriptive statistics, incidence rate ratios (IRR) and 95% confidence intervals (CIs) were calculated to analyze population-adjusted temporal changes. RESULTS: Overall, 86,403 ED visits were included in our study. Incidence of opioid-related ED visits increased by 165% in the study timeframe, with paramedic transported patients increasing by 429%. Per 100,000 residents, annual ED visits increased from 40.4 to 97.2, and paramedic transported patients from 12.1 to 67.9. The proportion of opioid-related ED visits transported by paramedics increased from 35.0% to 69.9%. The medical acuity of opioid-related ED visits increased throughout the years (IRR 6.8. 95% CI 5.9-7.7), though the proportion of discharges remained constant (~75%). The largest increases in ED visits and paramedic transports were concentrated to urbanized regions. DISCUSSION: Opioid-related ED visits and paramedic transports increased substantially between 2009 and 2019. The proportion of ED visits transported by paramedics doubled. Our findings could provide valuable support to health stakeholders in implementing timely strategies aimed at safely reducing opioid-related ED visits. The increased use of paramedics followed by high rates of ED discharge calls for exploration of alternative care models within paramedic systems, such as direct transport to specialized substance abuse centres.

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.