Medical Care Provider Involvement in Ontario Assisted Living Homes: A Descriptive Cross-Sectional Survey Analysis.

OBJECTIVES: Assisted living is growing in Ontario. Medical services are not regulated in Ontario, resulting in variability of physician involvement. We described medical service provider involvement and practice characteristics in assisted living homes. DESIGN: Descriptive cross-sectional study. SETTING AND PARTICIPANTS: A total of 88 assisted living homes in Ontario, Canada, which responded to a survey in 2023. METHODS: Administrators responded to questions on recruiting various health professionals, their involvement in the retirement home, support available, documentation in the home, and availability of palliative care. We reported absolute and relative proportions for survey items. We used regression analysis to assess if there is a statistically significant difference in the proportion of patients accessing care from the community in homes with and without a recruited medical service provider. RESULTS: Fifty-four (61.4%) of homes had a medical service provider, primarily an attending medical doctor. Attending medical doctors cared for more than 50 patients in 36% of homes, and 46% visited homes weekly. Administrators reported that medical providers spent most of the time providing appointments, responding to phone calls and faxes, conducting medication reviews, and discussing with residents' families. Nearly two-thirds of homes had nurses accompany physicians on rounds and provided medical service providers with clinic space and equipment. Two-thirds of homes provided residents with palliative care, primarily through community support. Residents of homes with a recruited medical service provider had 76% lower odds of seeking care from their physician in the community than those without a recruited provider (P < .001). CONCLUSIONS AND IMPLICATIONS: Our findings describe high variability in recruiting medical service providers in assisted living homes and their practice characteristics. Residents may benefit from on-site accessible and patient-centered medical care. This study provides contextual information to inform future research on assisted living in Ontario and enables policy comparisons to other provinces and countries.

Patterns of referral to interprofessional services among frail older adults presenting to emergency departments in Canada.

BACKGROUND: Geriatric Emergency Department (ED) Guidelines recommend optimizing transitions of care for older patients with complex needs. In this study, we investigated referral patterns to interprofessional services, including occupational therapy, physiotherapy, dietician, social work, home care, and specialized geriatric services, among older adults presenting to the ED with high-risk characteristics. METHODS: We recruited community-dwelling older adults presenting to 10 EDs across Ontario, Quebec, and Newfoundland, Canada, from April 2017 to July 2018. To observe processes of care in the ED, we deployed a two-stage high-risk case-finding and focused comprehensive assessment process based on the interRAI ED-Screener and ED Contact Assessment to identify and characterize older adults at high risk. We analyzed the secondary data using descriptive statistics and logistic regression. RESULTS: We screened 5265 individuals with the ED Screener, further assessed 1479 with the ED Contact Assessment, and analyzed data from a subset of 1055 community-dwelling older adults assessed with the ED Contact Assessment. Participants in our study sample had a mean age of 83 years, 58% were female, and many had a complex burden of cognitive and functional impairment and social needs. Over half of this high-needs sample were referred to general home care services (62.7%), occupational therapy (59.3%), and physiotherapy services (55.2%), while 16% were referred to specialized geriatric services. We also found a significant positive association between interprofessional referrals and the Assessment Urgency Algorithm and Institutional Risk Scale. The most important determinants of referral to interprofessional services were hospital province, functional, clinical, and social burden and support measures. CONCLUSIONS: The referral patterns identified suggest that patient needs and risk intensity did not always guide referral patterns in the Canadian EDs investigated. We suggest that EDs critically examine the appropriateness of their documentation and referral systems for supporting person-centered care provision.

Neighborhood socioeconomic factors and characteristics correlated with avoidable emergency department visits: A spatial analysis of a Canadian academic hospital.

INTRODUCTION: The influence of neighborhood characteristics and socioeconomic status (SES) factors on avoidable emergency department (ED) utilization is not well understood in a universal healthcare system. We examined correlations between these factors and avoidable ED visits at a Canadian academic hospital. MATERIALS AND METHODS: We conducted a retrospective cohort study using administrative ED data from a hospital in Hamilton, Canada from April 1, 2018 to August 31, 2023, and neighborhood data from the Statistics Canada Census of Population 2021. Avoidable visits were classified using the Emergency Department Avoidability Classification (EDAC), and mapped to neighborhoods using Canadian postal codes. SES was defined primarily based on education attained, household income, employment and housing security. The top 20 postal codes with the highest avoidable ED visits were categorized into quartiles and analyzed for trends using chi-squared tests of spatial association and Spearman rank correlations. RESULTS: A consistent ordinal trend across quartiles was observed throughout the study period, with quartile 1 representing the lowest avoidable ED visits and quartile 4 the highest. The quartiles were unevenly distributed spatially, though there was a significant association between close proximity to the ED and avoidable visits (X2 = 7.07, p <0.05). The quartile with the highest avoidable ED visits (quartile 4) had the greatest proportion of one-person households (35.5%) and one-parent families (37.8%), and showed statistically significant positive correlations with male sex, living alone and having an indigenous identity. Quartile 4 had the highest rates of individuals not completing high school (18.6%, p < 0.05), unemployment (13.7%), households spending greater than 30% of their income on shelter (26.5%), and households earning less than $30,000 annually (16.6%, compared to 8.7% in quartile 1 with the lowest avoidable ED visits). DISCUSSION: In a universal healthcare setting, lower SES neighborhoods were correlated with higher rates of avoidable ED visits. Targeted interventions that address social determinants of health disparities in neighborhoods with lower SES could reduce the burden of avoidable ED visits, and promote more equitable healthcare utilization.

Inequalities in Transitions to Home Care: A Longitudinal Analysis of the Canadian Longitudinal Study on Aging.

OBJECTIVES: To investigate inequalities in transitions to home care across a broad set of demographic and socioeconomic factors in Canadian middle-aged and older adults. DESIGN: Longitudinal, retrospective cohort study. SETTING AND PARTICIPANTS: A total of 51,338 community-dwelling adults aged 45+ years, using national data from the Canadian Longitudinal Study on Aging across 3 timepoints from 2011 to 2021. METHODS: We analyzed transitions in home care use using multistate Markov models, with home care use and nonuse as transient states, and loss to follow-up as a terminal state. We calculated hazard ratios for transitions between states adjusting for factors related to home care need (ie, functional limitations, chronic conditions) within the following equity strata: income, education, immigration history, sex, gender, rurality, racial background, and tangible social support. RESULTS: Across all timepoints, 5.4% of non-home care users transitioned to home care by the next timepoint and 33.2% of home care users continued to use home care at the next timepoint. Among non-home care users, identifying as a woman, female, white, completing higher levels of education, having higher income, and having less support available was associated with an increased likelihood of transitioning to home care use. Among home care users, higher income was also associated with a greater likelihood to discontinue using home care compared with lower income users. The association between income and home care use was stronger among female individuals. CONCLUSIONS AND IMPLICATIONS: We found meaningful differences in home care transitions across several equity strata. Individuals with higher income have greater ability to access to private care, creating inequity in access to home care services. Gendered factors such as income and social support have important associations with home care use. Home care planning and policy must address the unique barriers and disadvantages diverse populations face to ensure equitable use of home care and promote healthy aging.

Characteristics of family physicians with additional training or focused practices in caring for older adults: Population-based retrospective cohort study.

OBJECTIVE: To identify FPs with additional training and focused practice activities relevant to the needs of older patients within health administrative data and to describe their medical practices and service provision in community-based primary care settings. DESIGN: Retrospective cohort study. SETTING: Ontario. PARTICIPANTS: Family physicians with Certificates of Added Competence in care of the elderly from the College of Family Physicians of Canada or focused practice billing designations in care of the elderly. MAIN OUTCOME MEASURES: Evidence of additional training or certification in care of the elderly or practice activities relevant to the care of older adults. RESULTS: Of 14,123 FPs, 242 had evidence of additional scope to better support older adults. These FPs mainly practised in team-based care models, tended to provide comprehensive care, and billed for core primary care services. In an unadjusted analysis, factors statistically significantly associated with greater likelihood of having additional training or focused practices relevant to the care of older patients included physician demographic characteristics (eg, female sex, having completed medical school in Canada, residential instability at the community level), primary care practice model (ie, focused practice type), primary care activities (eg, more likely to provide consultations, practise in long-term care, refer patients to psychiatry and geriatrics, bill for complex house call assessments, bill for home care applications, and bill for long-term care health report forms), and patient characteristics (ie, older average age of patients). CONCLUSION: The FP workforce with additional training or focused practices in caring for older patients represents a small but specialized group of providers who contribute a portion of the total primary care activities for older adults. Health human resource planning should consider the contributions of all FPs who care for older adults, and enhancing geriatric competence across the family medicine workforce should be emphasized.

Clinical and Sociodemographic Characteristics of New Residents of Assisted Living: A Nested Case-Control Study.

OBJECTIVE: To examine transitions to an assisted living facility among community-dwelling older adults who received publicly funded home care services. DESIGN: Nested case-control study. SETTING AND PARTICIPANTS: Linked, population-level health system administrative data were obtained from adults aged 65 years and older who received home care services in Ontario, Canada, from April 1, 2018, to December 31, 2019. New residents of assisted living were matched on age, sex, and initiation date of home care (± 7 days) to community-dwelling home care recipients in a 1:4 ratio. METHODS: Clinical and functional status, health service use, sociodemographic variables, and community-level characteristics were examined; conditional logistic regression was used to model associations with a transition to an assisted living facility. RESULTS: There were 2427 new residents of assisted living who were matched to 9708 home care recipients [mean (SD) age 85.5 (6.02) years, 72% female]. Most of the new residents were concentrated in urban communities and communities with higher income quintiles. New residents had an increased rate of physician-diagnosed dementia [adjusted hazard ratio (aHR), 1.28; 95% CI, 1.14-1.43], mood disorders (aHR, 1.17; 95% CI, 1.05-1.29), and cardiac arrhythmias (aHR, 1.19; 95% CI, 1.07-1.32). They also had higher rates of mild cognitive impairment (aHR, 1.43; 95% CI, 1.24-1.66), 2 or more falls (aHR, 1.29; 95% CI, 1.11-1.51), participation in activities of long-standing interest in the past 7 days (aHR, 1.29; 95% CI, 1.11-1.50), and a lower rate of a spouse or partner unpaid caregiver vs a child (aHR, 0.66; 95% CI, 0.56-0.79). CONCLUSIONS AND IMPLICATIONS: New residents of assisted living were mostly women, were cognitively impaired, had clinical comorbidities that could increase their risk of injuries, and had caregivers who were their children. These findings stress the importance of upscaling memory and dementia care in assisted living to address the needs of this population.

Patients report high information coordination between rostered primary care physicians and specialists: A cross-sectional study.

Our study aimed to describe patient experience of information coordination between their primary care physician and specialists and to examine the associations between their experience and their personal and primary care characteristics. We conducted a cross-sectional study of Ontario residents rostered to a primary care physician and visited a specialist physician in the previous 12 months by linking population-based health administrative data to the Health Care Experience Survey collected between 2013 and 2020. We described respondents' sociodemographic and health care utilization characteristics and their experience of information coordination between their primary care physician and specialists. We measured the adjusted association between patient-reported measures of information coordination before and after respondents received care from a specialist physician and their type of primary care model. 1,460 out 20,422 (weighted 7.5%) of the respondents reported that their specialist physician did not have basic medical information about their visit from their primary care physician in the previous 12 months. 2,298 out of 16,442 (weighted 14.9%) of the respondents reported that their primary care physician seemed uninformed about the care they received from the specialist. Females, younger individuals, those with a college or undergraduate level of education, and users of walk-in clinics had a higher likelihood of reporting a lack of information coordination between the primary care and specialist physicians. Only respondents rostered to an enhanced fee-for-service model had a higher odds of reporting that the specialist physician did not have basic medical information about their visit compared to those rostered to a Family Health Team (OR 1.22, 95% Cl 1.12-1.40). We found no significant association between respondent's type of primary care model and that their primary care physician was uninformed about the care received from the specialist physician. In this population-based health study, respondents reported high information coordination between their primary care physician and specialists. Except for respondents rostered to an enhanced fee-for-service model of care, we did not find any difference in information coordination across other primary care models.

Prevalence and population attributable fractions of potentially modifiable risk factors for dementia in Canada: A cross-sectional analysis of the Canadian Longitudinal Study on Aging.

OBJECTIVES: We investigated the prevalence and population attributable fraction (PAF) of 12 potentially modifiable risk factors for dementia in middle-aged and older Canadians. METHODS: We conducted a cross-sectional study of 30,097 adults aged 45 to 85 with baseline data from the Canadian Longitudinal Study on Aging (2011‒2015). Risk factors and associated relative risks were taken from a highly cited systematic review. We calculated the prevalence of each risk factor using sampling weights. Individual PAFs were calculated both crudely and weighted for communality, and combined PAFs were calculated using both multiplicative and additive assumptions. Analyses were stratified by household income and repeated at CLSA's first follow-up (2015‒2018). RESULTS: The most prevalent risk factors were physical inactivity (63.8%; 95% CI, 62.8-64.9), hypertension (32.8%; 31.7-33.8), and obesity (30.8%; 29.7-31.8). The highest crude PAFs were physical inactivity (19.9%), traumatic brain injury (16.7%), and hypertension (16.6%). The highest weighted PAFs were physical inactivity (11.6%), depression (7.7%), and hypertension (6.0%). We estimated that the 12 risk factors combined accounted for 43.4% (37.3‒49.0) of dementia cases assuming weighted multiplicative interactions and 60.9% (55.7‒65.5) assuming additive interactions. There was a clear gradient of increasing prevalence and PAF with decreasing income for 9 of the 12 risk factors. CONCLUSION: The findings of this study can inform individual- and population-level dementia prevention strategies in Canada. Differences in the impact of individual risk factors between this study and other international and regional studies highlight the importance of tailoring national dementia strategies to the local distribution of risk factors.

RéSUMé: OBJECTIFS: Nous avons étudié la prévalence et la fraction attribuable dans la population (FAP) de 12 facteurs de risque de démence potentiellement modifiables chez les Canadiens d'âge moyen et plus âgés. MéTHODE: Nous avons mené une étude transversale de 30 097 adultes de 45 à 85 ans à l'aide des données de référence de l'Étude longitudinale canadienne sur le vieillissement (ELCV) (2011‒2015). Les facteurs de risque et les risques relatifs associés ont été extraits d'une revue systématique fréquemment citée. Nous avons calculé la prévalence de chaque facteur de risque à l'aide de poids d'échantillonnage. Les FAP individuelles ont été calculées à la fois sous forme brute et pondérées selon leurs points communs; les FAP combinées ont été calculées à l'aide d'hypothèses multiplicatives et additives. Les analyses ont été stratifiées selon le revenu du ménage et répétées au premier suivi de l'ELCV (2015‒2018). RéSULTATS: Les facteurs de risque les plus prévalents étaient la sédentarité (63,8 %; IC de 95%, 62,8­64,9), l'hypertension artérielle (32,8 %; 31,7­33,8) et l'obésité (30,8 %; 29,7­31,8). Les FAP brutes les plus élevées étaient la sédentarité (19,9 %), les traumatismes cranio-cérébraux (16,7 %) et l'hypertension artérielle (16,6 %). Les FAP pondérées les plus élevées étaient la sédentarité (11,6 %), la dépression (7,7 %) et l'hypertension artérielle (6,0 %). Selon nos estimations, les 12 facteurs de risque combinés représentaient 43,4 % (37,3‒49,0) des cas de démence en supposant des interactions multiplicatives pondérées et 60,9 % (55,7‒65,5) en supposant des interactions additives. Il y avait clairement un gradient d'accroissement de la prévalence et de la FAP avec la diminution du revenu pour 9 des 12 facteurs de risque. CONCLUSION: Les constats de l'étude peuvent éclairer les stratégies individuelles et populationnelles de prévention de la démence au Canada. Les différences d'impact des facteurs de risque individuels entre cette étude et d'autres études internationales et régionales montrent l'importance d'adapter les stratégies nationales de prévention de la démence à la répartition locale des facteurs de risque.

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.

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.

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.

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).

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.

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.

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.