Prototyping the implementation of a suicide prevention protocol in primary care settings using PDSA cycles: a mixed method study.

Introduction: In Canada, approximately 4,500 individuals die by suicide annually. Approximately 45% of suicide decedents had contact with their primary care provider within the month prior to their death. Current versus never smokers have an 81% increased risk of death by suicide. Those who smoke have additional risks for suicide such as depression, chronic pain, alcohol, and other substance use. They are more likely to experience adverse social determinants of health. Taken together, this suggests that smoking cessation programs in primary care could be facilitators of suicide prevention, but this has not been studied. Study objectives: The objectives of the study are to understand barriers/facilitators to implementing a suicide prevention protocol within a smoking cessation program (STOP program), which is deployed by an academic mental health and addiction treatment hospital in primary care clinics and to develop and test implementation strategies to facilitate the uptake of suicide screening and assessment in primary care clinics across Ontario. Methods: The study employed a three-phase sequential mixed-method design. Phase 1: Conducted interviews guided by the Consolidated Framework for Implementation Research exploring barriers to implementing a suicide prevention protocol. Phase 2: Performed consensus discussions to map barriers to implementation strategies using the Expert Recommendations for Implementing Change tool and rank barriers by relevance. Phase 3: Evaluated the feasibility and acceptability of implementation strategies using Plan Do Study Act cycles. Results: Eleven healthcare providers and four research assistants identified lack of training and the need of better educational materials as implementation barriers. Participants endorsed and tested the top three ranked implementation strategies, namely, a webinar, adding a preamble before depression survey questions, and an infographic. After participating in the webinar and reviewing the educational materials, all participants endorsed the three strategies as acceptable/very acceptable and feasible/very feasible. Conclusion: Although there are barriers to implementing a suicide prevention protocol within primary care, it is possible to overcome them with strategies deemed both acceptable and feasible. These results offer promising practice solutions to implement a suicide prevention protocol in smoking cessation programs delivered in primary care settings. Future efforts should track implementation of these strategies and measure outcomes, including provider confidence, self-efficacy, and knowledge, and patient outcomes.

Guidelines and recommendations about virtual mental health services from high-income countries: a rapid review.

OBJECTIVES: This study reviewed existing recommendations for virtual mental healthcare services through the quadruple aim framework to create a set of recommendations on virtual healthcare delivery to guide the development of Canadian policies on virtual mental health services. DESIGN: We conducted a systematic rapid review with qualitative content analysis of data from included manuscripts. The quadruple aim framework, consisting of improving patient experience and provider satisfaction, reducing costs and enhancing population health, was used to analyse and organise findings. METHODS: Searches were conducted using seven databases from 1 January 2010 to 22 July 2022. We used qualitative content analysis to generate themes. RESULTS: The search yielded 40 articles. Most articles (85%) discussed enhancing patient experiences, 55% addressed provider experiences and population health, and 25% focused on cost reduction. Identified themes included: screen patients for appropriateness of virtual care; obtain emergency contact details; communicate transparently with patients; improve marginalised patients' access to care; support health equity for all patients; determine the cost-effectiveness of virtual care; inform patients of insurance coverage for virtual care services; increase provider training for virtual care and set professional boundaries between providers and patients. CONCLUSIONS: This rapid review identified important considerations that can be used to advance virtual care policy to support people living with mental health conditions in a high-income country.

Randomized controlled trial demonstrates novel tools to assess patient outcomes of Indigenous cultural safety training.

BACKGROUND: Health care routinely fails Indigenous peoples and anti-Indigenous racism is common in clinical encounters. Clinical training programs aimed to enhance Indigenous cultural safety (ICS) rely on learner reported impact assessment even though clinician self-assessment is poorly correlated with observational or patient outcome reporting. We aimed to compare the clinical impacts of intensive and brief ICS training to control, and to assess the feasibility of ICS training evaluation tools, including unannounced Indigenous standardized patient (UISP) visits. METHOD: Using a prospective parallel group three-arm randomized controlled trial design and masked standardized patients, we compared the clinical impacts of the intensive interactive, professionally facilitated, 8- to10-h Sanyas ICS training; a brief 1-h anti-bias training adapted to address anti-Indigenous bias; and control continuing medical education time-attention matched to the intensive training. Participants included 58 non-Indigenous staff physicians, resident physicians and nurse practitioners from family practice clinics, and one emergency department across four teaching hospitals in Toronto, Canada. Main outcome measures were the quality of care provided during UISP visits including adjusted odds that clinician would be recommended by the UISP to a friend or family member; mean item scores on patient experience of care measure; and clinical practice guideline adherence for NSAID renewal and pain assessment. RESULTS: Clinicians in the intensive or brief ICS groups had higher adjusted odds of being highly recommended to friends and family by standardized patients (OR 6.88, 95% CI 1.17 to 40.45 and OR 7.78, 95% CI 1.05 to 58.03, respectively). Adjusted mean item patient experience scores were 46% (95% CI 12% to 80%) and 40% (95% CI 2% to 78%) higher for clinicians enrolled in the intensive and brief training programs, respectively, compared to control. Small sample size precluded detection of training impacts on clinical practice guideline adherence; 100% of UISP visits were undetected by participating clinicians. CONCLUSIONS: Patient-oriented evaluation design and tools including UISPs were demonstrated as feasible and effective. Results show potential impact of cultural safety training on patient recommendation of clinician and improved patient experience. A larger trial to further ascertain impact on clinical practice is needed. TRIAL REGISTRATION: Clinicaltrials.org NCT05890144. Retrospectively registered on June 5, 2023.

Breast Cancer Screening Among Females With and Without Schizophrenia.

Importance: Breast cancer screening with mammography is recommended in Ontario, Canada, for females 50 years or older. Females with schizophrenia are at higher risk of breast cancer, but in Ontario it is currently unknown whether breast cancer screening completion differs between those with vs without schizophrenia and whether primary care payment models are a factor. Objective: To compare breast cancer screening completion within 2 years after the 50th birthday among females with and without schizophrenia, and to identify the association between breast cancer screening completion and different primary care payment models. Design, Setting, and Participants: This case-control study analyzed Ontario-wide administrative data on females with and without schizophrenia who turned 50 years of age between January 1, 2010, and December 31, 2019. Those with schizophrenia (cases) were matched 1:10 to those without schizophrenia (controls) on local health integration network, income quintile, rural residence, birth dates, and weighted Aggregated Diagnosis Group score. Data analysis was performed from November 2021 to February 2023. Exposures: Exposures were schizophrenia and primary care payment models. Main Outcomes and Measures: Outcomes included breast cancer screening completion among cases and controls within 2 years after their 50th birthday and the association with receipt of care from primary care physicians enrolled in different primary care payment models, which were analyzed using logistic regression and reported as odds ratios (ORs) and 95% CIs. Results: The study included 11 631 females with schizophrenia who turned 50 years of age during the study period and a matched cohort of 115 959 females without schizophrenia, for a total of 127 590 patients. Overall, 69.3% of cases and 77.1% of controls had a mammogram within 2 years after their 50th birthday. Cases had lower odds of breast cancer screening completion within 2 years after their 50th birthday (OR, 0.67; 95% CI, 0.64-0.70). Cases who received care from a primary care physician in a fee-for-service (OR, 0.57; 95% CI, 0.53-0.60) or enhanced fee-for-service (OR, 0.79; 95% CI, 0.75-0.82) payment model had lower odds of having a mammogram than cases whose physicians were paid under a Family Health Team model. Conclusions and Relevance: This case-control study found that, in Ontario, Canada, breast cancer screening completion was lower among females with schizophrenia, and differences from those without schizophrenia may partially be explained by differences in primary care payment models. Widening the availability of team-based primary care for females with schizophrenia may play a role in increased breast cancer screening rates.

Going home positive: a qualitative study of the experiences of care for patients with COVID-19 who are not hospitalized.

BACKGROUND: Most Canadians diagnosed with COVID-19 have had mild symptoms not requiring hospitalization. We sought to understand the patient experience of care while being isolated at home after testing positive for SARS-CoV-2 infection. METHODS: We conducted a phenomenologically informed qualitative descriptive study using in-depth semistructured interviews to identify common themes of experience for patients sent home from hospital with a positive COVID-19 diagnosis. Between July and December 2020, we conducted interviews with patients who were followed by the North York General Hospital COVID Follow-Up Clinic. Patients with mild to moderate symptoms were interviewed 4 weeks after their COVID-19 diagnosis. We conducted the interviews and performed a thematic analysis of the data concurrently, in keeping with the iterative process of qualitative methodology. RESULTS: We conducted interviews with 26 patients. From our analysis, 3 themes were developed regarding participants' overall experience: lack of adequate communication, inconsistency of information from various sources, and the social implications of a COVID-19 diagnosis. The implications of a positive test for SARS-CoV-2 infection are substantial, even when symptoms are mild and patients self-isolate as recommended. Participants noted communication challenges and inconsistent information, leading to exacerbated stress. INTERPRETATION: Participants shared their experiences of the stigma of testing positive and the frustration of poor communication structures and inconsistent information. Experiencing care during self-isolation at home is an area of increasing importance, and these findings can inform improved support, ensuring access to equitable and safe COVID-19 care for these patients.

Tolerability of bedtime diuretics: a prospective cohort analysis.

OBJECTIVES: We sought to validate, or refute, the common belief that bedtime diuretics are poorly tolerated due to nocturia. DESIGN: Prespecified prospective cohort analysis embedded within the randomised BedMed trial, in which hypertensive participants are randomised to morning versus bedtime antihypertensive administration. SETTING: 352 community family practices across 4 Canadian provinces between March 2017 and September 2020. PARTICIPANTS: 552 hypertensive patients (65.6 years old, 57.4% female) already established on a single once-daily morning antihypertensive and randomised to switch that antihypertensive to bedtime. Of these, 203 used diuretics (27.1% thiazide alone, 70.0% thiazide/non-diuretic combinations) and 349 used non-diuretics. INTERVENTION: Switching the established antihypertensive from morning to bedtime, and comparing the experience of diuretic and non-diuretic users. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcome: Adherence to bedtime allocation time at 6 months (defined as the willingness to continue with bedtime use, not an assessment of missed doses). Secondary 6-month outcomes: (1) nocturia considered to be a major burden and (2) increase in overnight urinations/week. All outcomes were self-reported and additionally collected at 6 weeks. RESULTS: At 6 months: Adherence to bedtime allocation time was lower in diuretic users than non-diuretic users (77.3% vs 89.8%; difference 12.6%; 95% CI 5.8% to 19.8%; p<0.0001; NNH 8.0), and more diuretic users considered nocturia a major burden (15.6% vs 1.3%; difference 14.2%; 95% CI 8.9% to 20.6%; p<0.0001; NNH 7.0). Compared with baseline, diuretic users experienced 1.0 more overnight urinations/week (95% CI 0.0 to 1.75; p=0.01). Results did not differ between sexes. CONCLUSIONS: Switching diuretics to bedtime did promote nocturia, but only 15.6% found nocturia a major burden. At 6 months, 77.3% of diuretic users were adherent to bedtime dosing. Bedtime diuretic use is viable for many hypertensive patients, should it ever become clinically indicated. TRIAL REGISTRATION NUMBER: NCT02990663.

Evaluating the Supporting Evidence of Medical Cannabis Claims Made on Clinic Websites: Cross-Sectional Study.

BACKGROUND: Since the legalization of medical cannabis in Canada in 2013, prescription of cannabis for medical purposes has become commonplace and a multibillion dollar industry has formed. Much of the media coverage surrounding medical cannabis has been positive in nature, leading to Canadians potentially underestimating the adverse effects of medical cannabis use. In recent years, there has been a large increase in clinic websites advertising the use of medical cannabis for health indications. However, little is known about the quality of the evidence used by these clinic websites to describe the effectiveness of cannabis used for medical purposes. OBJECTIVE: We aimed to identify the indications for medical cannabis reported by cannabis clinics in Ontario, Canada, and the evidence these clinics cited to support cannabis prescription. METHODS: We conducted a cross-sectional web search to identify all cannabis clinic websites within Ontario, Canada, that had physician involvement and identified their primary purpose as cannabis prescription. Two reviewers independently searched these websites to identify all medical indications for which cannabis was promoted and reviewed and critically appraised all studies cited using the Oxford Centre for Evidence-Based Medicine Levels of Evidence rubric. RESULTS: A total of 29 clinics were identified, promoting cannabis for 20 different medical indications including migraines, insomnia, and fibromyalgia. There were 235 unique studies cited on these websites to support the effectiveness of cannabis for these indications. A high proportion (36/235, 15.3%) of the studies were identified to be at the lowest level of evidence (level 5). Only 4 clinic websites included any mention of harms associated with cannabis. CONCLUSIONS: Cannabis clinic websites generally promote cannabis use as medically effective but cite low-quality evidence to support these claims and rarely discuss harms. The recommendation of cannabis as a general therapeutic for many indications unsupported by high-quality evidence is potentially misleading for medical practitioners and patients. This disparity should be carefully evaluated in context of the specific medical indication and an individualized patient risk assessment. Our work illustrates the need to increase the quality of research performed on the medical effects of cannabis.

Diabetes care among individuals with and without schizophrenia in three Canadian provinces: A retrospective cohort study.

OBJECTIVE: Diabetes is present in approximately 10% of people living with schizophrenia and substantially contributes to early mortality, but some aspects of diabetes care among those with schizophrenia have been inadequately investigated to date. We assessed diabetes care and comorbidity management among people with and without schizophrenia. METHODS: We conducted a cohort study with data obtained from primary care electronic medical records stored in the Diabetes Action Canada (DAC) National Repository from Alberta, Ontario, and Quebec, Canada. The population studied included patients with diabetes, with and without schizophrenia, who had at least 3 primary care visits in a 2 year period between July 2017 and June 2019. Outcomes included glycemia; diabetes complication screening and monitoring; antihyperglycemic and cardioprotective medication prescription; health service use. RESULTS: We identified 69,512 patients with diabetes; 911 (1.3%) of whom also had schizophrenia. Prevalence of high HbA1C (>8.5%) (9083/68601; 13.2% vs. 137/911; 15.0%) and high blood pressure (>130/80 mmHg) (4248/68601; 6.2% vs. 73/911; 8.0%) was similar between the two groups. Half (50.0%) of patients with schizophrenia (n = 455) had 11 or more primary care visits in the past year, compared with 27.8% of people without schizophrenia. (p < 0.0001). Patients with schizophrenia had lower odds of ever having blood pressure recorded (OR = 0.81, 95% CI 0.71-0.94) and fewer of those with chronic kidney disease (CKD) were prescribed renin-angiotensin aldosterone system inhibitors, compared to patients without schizophrenia (10.3% vs 15.8%, p = 0.0005). CONCLUSIONS: Patients with diabetes and schizophrenia achieved similar blood glucose and blood pressure levels to those without schizophrenia, and had more primary care visits. However, they had fewer blood pressure readings and lower prescription of recommended medications among those who also had CKD. These results are both encouraging and represent opportunities for improvement in care.

Systematic assessment of opioid advertisements in general medical journals.

OBJECTIVE: To systematically examine the content of opioid-related advertisements. DESIGN: Content analysis and quantitative assessment. SETTING: North America. PARTICIPANTS: Researchers examined advertisements in 2 issues per year from 1996 to 2016 of American Family Physician, Canadian Family Physician, the Canadian Medical Association Journal, JAMA, and the New England Journal of Medicine. MAIN OUTCOME MEASURES: Number of advertisements, nature of the claims made, and quality of cited evidence in the advertisements. RESULTS: Opioid advertisements composed 89 of the 3173 pharmaceutical advertisements in 210 journal issues searched. Seventy-three advertisements were able to be obtained for analysis. Thirty-four (46.6%) did not mention the addictive potential of opioids, and 54 of 73 (74.0%) did not mention the possibility of death. All referenced studies in advertisements were funded by pharmaceutical organizations or had pharmaceutical company employees as authors. No advertisements cited high-quality evidence. CONCLUSION: Many claims of the effectiveness and safety of opioids were published in medical journals through advertisements. Advertisements did not usually mention key negative information about opioids. Although the extent to which these advertisements directly influenced the development of the opioid crisis in North America is unknown, the marked omission of important detrimental effects of opioids may have played a role. Further efforts to restrict opioid marketing may be warranted.

Emulating a Target Trial Using Primary-Care Electronic Health Records: Sodium-Glucose Cotransporter 2 Inhibitor Medications and Hemoglobin A1c.

Substantial effort has been dedicated to conducting randomized controlled experiments to generate clinical evidence for diabetes treatment. Randomized controlled experiments are the gold standard for establishing cause and effect. However, due to their high cost and time commitment, large observational databases such as those comprised of electronic health record (EHR) data collected in routine primary care may provide an alternative source with which to address such causal objectives. We used a Canadian primary-care data repository housed at the University of Toronto (Toronto, Ontario, Canada) to emulate a randomized experiment. We estimated the effectiveness of sodium-glucose cotransporter 2 inhibitor (SGLT-2i) medications for patients with diabetes using hemoglobin A1c (HbA1c) as a primary outcome and marker for glycemic control from 2018 to 2021. We assumed an intention-to-treat analysis for prescribed treatment, with analyses based on the treatment assigned rather than the treatment eventually received. We defined the causal contrast of interest as the net change in HbA1c (percent) between the group receiving the standard of care versus the group receiving SGLT-2i medication. Using a counterfactual framework, marginal structural models demonstrated a reduction in mean HbA1c level with the initiation of SGLT-2i medications. These findings provided effect sizes similar to those from earlier clinical trials on assessing the effectiveness of SGLT-2i medications.

Disruptions in Primary Care among People with Schizophrenia in Ontario, Canada, During the COVID-19 Pandemic.

OBJECTIVE: To investigate how primary care access, intensity and quality of care changed among patients living with schizophrenia before and after the onset of the COVID-19 pandemic in Ontario, Canada. METHODS: This cohort study was performed using primary care electronic medical record data from the University of Toronto Practice-Based Research Network (UTOPIAN), a network of > 500 family physicians in Ontario, Canada. Data were collected during primary care visits from 2643 patients living with schizophrenia. Rates of primary care health service use (in-person and virtual visits with family physicians) and key preventive health indices indicated in antipsychotic monitoring (blood pressure readings, hemoglobin A1c, cholesterol and complete blood cell count [CBC] tests) were measured and compared in the 12 months before and after onset of the COVID-19 pandemic. RESULTS: Access to in-person care dropped with the onset of the COVID-19 pandemic. During the first year of the pandemic only 39.5% of patients with schizophrenia had at least one in-person visit compared to 81.0% the year prior. There was a corresponding increase in virtual visits such that 78.0% of patients had a primary care appointment virtually during the pandemic period. Patients prescribed injectable antipsychotics were more likely to continue having more frequent in-person appointments during the pandemic than patients prescribed only oral or no antipsychotic medications. The proportion of patients who did not have recommended tests increased from 41.0% to 72.4% for blood pressure readings, from 48.9% to 60.2% for hemoglobin A1c, from 57.0% to 67.8% for LDL cholesterol and 45.0% to 56.0% for CBC tests during the pandemic. CONCLUSIONS: There were substantial decreases in preventive care after the onset of the pandemic, although primary care access was largely maintained through virtual care. Addressing these deficiencies will be essential to promoting health equity and reducing the risk of poor health outcomes.

Factors Associated With Initiation of Antidepressant Medication in Adults With Type 1 and Type 2 Diabetes: A Primary Care Retrospective Cohort Study in Ontario, Canada.

OBJECTIVES: Depression in patients with diabetes mellitus is common and associated with poorer outcomes. This study aims to identify demographic, socioeconomic and medical factors associated with the initiation of antidepressant medication after a diagnosis of diabetes in adult patients without a previous prescription for antidepressants. We also examined frequency of primary care visits in the year after antidepressant initiation compared with the year before treatment began. METHODS: This was a retrospective cohort study using routinely collected electronic medical record data spanning January 2011 to December 2019 from the University of Toronto Practice-based Research Network (UTOPIAN) Data Safe Haven. Our primary outcome was a first prescription for an antidepressant in patients with diabetes. We used a mixed-effects logistic regression model to identify sociodemographic and medical factors associated with this event. RESULTS: Among 22,750 patients with diabetes mellitus, 3,055 patients (13.4%) began taking an antidepressant medication. Increased odds of antidepressant initiation were observed in younger patients (odds ratio [OR], 1.77; 95% confidence interval [CI], 1.39 to 2.26), females (OR, 1.60; 95% CI, 1.46 to 1.7), those receiving insulin treatment (OR, 1.59; 95% CI, 1.43 to 1.78) and cases of polypharmacy (OR, 3.67; 95% CI, 3.29 to 4.11). There was an increase in the mean number of primary care visits from 4.6 to 5.9 per year after antidepressant initiation. CONCLUSIONS: In patients with diabetes, age, sex and medical characteristics were associated with the initiation of antidepressants. These patients accessed primary care more frequently. Screening and prevention of depression, particularly in these subgroups, could reduce its personal and systemic burdens.

Assessing Primary Care Blood Pressure Documentation for Hypertension Management During the COVID-19 Pandemic by Patient and Provider Groups.

Background: Primary care electronic medical record (EMR) data can be used to identify, manage, and screen hypertension cases. However, this approach relies on completeness and accessibility of documented blood pressure (BP) values. With the large switch to virtual care due to the COVID-19 pandemic, we assessed BP documentation in primary care EMRs during the pandemic, across patient and physician groups. Methods: Hypertension-related visits were identified during the pre-pandemic (January 2017 to February 2020) and pandemic (March 2020 to December 2021) periods from a primary care EMR database in Ontario, Canada. Clustered logistic regression models were used to analyze the relationship of physician and patient characteristics with an outcome variable of documented BP. A chart review of 3200 hypertension visits without a BP recorded in structured data fields was conducted to determine if BP was recorded in progress notes. Results: Pre-pandemic, 75.7% of hypertension-related visits (113,966 of 150,511) had a BP recorded in structured documentation, but this significantly decreased to 36.4% (26,660 of 73,239) during the pandemic (odds ratio [OR] = 0.18, 95% confidence interval [CI]: 0.18-0.19). For virtual visits, 14.3% (6357 of 44,572) had a documented BP, vs 74.0% (20,056 of 27,089) for in-person visits. Chart review found that 55.9% of hypertension visits had no associated BP in structured documentation, but did have a BP recorded in the progress note. Male providers, compared to female providers, were less likely to record BPs pre-pandemic (OR = 0.45, 95% CI: 0.32-0.63) and during the pandemic, for both virtual visits (OR = 0.48, 95% CI: 0.32-0.71) and in-person visits (OR = 0.46, 95% CI: 0.33-0.64). Conclusions: BP documented in primary care EMRs declined during the pandemic, most likely due to high rates of virtual visits impacting hypertension detection and management.

Contexte: Les données des dossiers médicaux électroniques (DME) provenant des soins primaires peuvent être utilisées pour détecter, prendre en charge et dépister les cas d'hypertension. Cependant, cette approche dépend de l'accessibilité et de l'exhaustivité des valeurs de pression artérielle (PA) consignées aux dossiers. Étant donné l'important passage aux soins virtuels attribuable à la pandémie de COVID-19, nous avons évalué la façon dont la PA avait été consignée dans les DME de soins primaires pendant la pandémie, parmi des groupes de patients et de médecins. Méthodologie: Les consultations liées à l'hypertension pendant les périodes pré-pandémique (de janvier 2017 à février 2020) et pandémique (de mars 2020 à décembre 2021) ont été recueillies d'une banque de données de DME de soins primaires en Ontario (Canada). Des modèles de régression logistique regroupée ont été utilisés pour analyser le lien entre les caractéristiques des médecins et de patients et une variable de résultats des PA consignées. Une revue des dossiers portant sur 3200 consultations pour hypertension sans consignation de la PA dans les champs de données structurés a été effectuée afin de déterminer si la PA avait été notée dans les notes d'évolution. Résultats: Avant la pandémie, la PA avait été consignée dans une documentation structurée pour 75,7 % (113 966 sur 150 511) des consultations pour hypertension, mais cette proportion a chuté considérablement à 36,4 % (26 660 sur 73 239) pendant la pandémie (rapport des cotes [RC] = 0,18; intervalle de confiance [IC] à 95 % : 0,18-0,19). Pour ce qui est des consultations virtuelles, la PA a été consignée dans 14,3 % (6357 sur 44 572) des cas, comparativement à 74,0 % (20 056 sur 27 089) pour les consultations en personne. Une analyse des dossiers a révélé que pour 55,9 % des consultations pour hypertension, aucune mesure de PA ne figurait dans la documentation structurée, mais qu'une valeur de PA avait toutefois été consignée dans les notes d'évolution. Les professionnels de la santé masculins, comparativement aux femmes, ont été moins susceptibles de consigner les valeurs de PA avant la pandémie (RC = 0,45; IC à 95 % : 0,32-0,63) et pendant la pandémie, tant lors des consultations virtuelles (RC = 0,48; IC à 95 % : 0,32-0,71) que des consultations en personne (RC = 0,46; IC à 95 % : 0,33-0,64). Conclusions: L'inscription des valeurs de PA dans les DME de soins primaires a décliné pendant la pandémie, fort probablement en raison de la proportion élevée de consultations virtuelles, ce qui a eu une incidence sur la détection et la prise en charge de l'hypertension.

Effects of COVID-19 pandemic on anxiety and depression in primary care: A cohort study in Ontario, Canada.

Context: Many people have experienced poorer mental health and increased distress during the COVID-19 pandemic. It is unclear to what extent this has resulted in increases in the number of patients presenting with anxiety and/or depression in primary care. Objective: To determine if there are more patients are visiting their family doctor for anxiety/depression during the COVID-19 pandemic compared to before the pandemic, and to determine whether these effects varied based on patient demographic characteristics. Study Design: A retrospective cohort study of family medicine patients from 2017-2020. Data Source: Electronic medical records (EMRs) from the University of Toronto Practice Based-Research Network (UTOPIAN) Data Safe Haven. The majority of physicians in the UTOPIAN EMR database practice in the Greater Toronto Area, a high-COVID region of Canada. Population Studied: Active family practice patients aged 10 and older with at least 1 year of EMR data. Outcome Measures: Visits for anxiety and/or depression; prescriptions for antidepressant medications. Results: Changes in visits for anxiety and depression during the COVID-19 pandemic were consistent with an increased demand for mental healthcare and an increase in the number of individuals with anxiety and depression. Increases in visits for anxiety and depression were larger for younger patients, women, and later in the pandemic. Among younger patients, prescriptions for antidepressants were substantially reduced during the first few months of the pandemic (April-May 2020) but incidences rates increased later in 2020. Increases in visit volume during the pandemic were consist with more frequent visits for anxiety/depression and more new patients presenting with anxiety or depression. Conclusion: The COVID-19 pandemic has resulted in an increased demand for mental health services from family physicians. Increases in anxiety and depression were especially pronounced among younger female patients and increased throughout the pandemic. Our findings highlight the need for continued efforts to support and addresses mental health concerns in primary care.

Socioeconomic and immigration status and COVID-19 testing in Toronto, Ontario: retrospective cross-sectional study.

BACKGROUND: Preliminary evidence suggests that individuals living in lower income neighbourhoods are at higher risk of COVID-19 infection. The relationship between sociodemographic characteristics and COVID-19 risk warrants further study. METHODS: We explored the association between COVID-19 test positivity and patients' socio-demographic variables, using neighborhood sociodemographic data collected retrospectively from two COVID-19 Assessment Centres in Toronto, ON. RESULTS: Eighty-three thousand four hundred forty three COVID-19 tests completed between April 5-September 30, 2020, were analyzed. Individuals living in neighbourhoods with the lowest income or highest concentration of immigrants were 3.4 (95% CI: 2.7 to 4.9) and 2.5 (95% CI: 1.8 to 3.7) times more likely to test positive for COVID-19 than those in highest income or lowest immigrant neighbourhoods, respectively. Testing was higher among individuals from higher income neighbourhoods, at lowest COVID-19 risk, compared with those from low-income neighbourhoods. CONCLUSIONS: Targeted efforts are needed to improve testing availability in high-risk regions. These same strategies may also ensure equitable COVID-19 vaccine delivery.

Health system use among patients with mental health conditions in a community based sample in Toronto, Canada: A retrospective cohort study.

OBJECTIVE: To identify hospital and primary care health service use among people with mental health conditions or addictions in an integrated primary-secondary care database in Toronto, Ontario. METHOD: This was a retrospective cohort study of adults with mental health diagnoses using data from the Health Databank Collaborative (HDC), a primary care-hospital linked database in Toronto. Data were included up to March 31st 2019. Negative binomial and logistic regression were used to evaluate associations between health care utilization and various patient characteristics and mental health diagnoses. RESULTS: 28,482 patients age 18 or older were included. The adjusted odds of at least one mental health diagnosis were higher among younger patients (18-30 years vs. 81+years aOR = 1.87; 95% CI:1.68-2.08) and among female patients (aOR = 1.35; 95% CI: 1.27-1.42). Patients with one or more mental health diagnoses had higher adjusted rates of hospital visits compared to those without any mental health diagnosis including addiction (aRR = 1.74, 95% CI: 1.58-1.91) and anxiety (aRR = 1.28, 95% CI: 1.23-1.32). 14.5% of patients with a psychiatric diagnosis were referred to the hospital for specialized psychiatric services, and 38% of patients referred were eventually seen in consultation. The median wait time from the date of referral to the date of consultation was 133 days. CONCLUSIONS: In this community, individuals with mental health diagnoses accessed primary and hospital-based health care at greater rates than those without mental health diagnoses. Wait times for specialized psychiatric care were long and most patients who were referred did not have a consultation. Information about services for patients with mental health conditions can be used to plan and monitor more integrated care across sectors, and ultimately improve outcomes.

Marginal Structural Models Using Calibrated Weights With SuperLearner: Application to Type II Diabetes Cohort.

As different scientific disciplines begin to converge on machine learning for causal inference, we demonstrate the application of machine learning algorithms in the context of longitudinal causal estimation using electronic health records. Our aim is to formulate a marginal structural model for estimating diabetes care provisions in which we envisioned hypothetical (i.e. counterfactual) dynamic treatment regimes using a combination of drug therapies to manage diabetes: metformin, sulfonylurea and SGLT-2i. The binary outcome of diabetes care provisions was defined using a composite measure of chronic disease prevention and screening elements [27] including (i) primary care visit, (ii) blood pressure, (iii) weight, (iv) hemoglobin A1c, (v) lipid, (vi) ACR, (vii) eGFR and (viii) statin medication. We used several statistical learning algorithms to describe causal relationships between the prescription of three common classes of diabetes medications and quality of diabetes care using the electronic health records contained in National Diabetes Repository. In particular, we generated an ensemble of statistical learning algorithms using the SuperLearner framework based on the following base learners: (i) least absolute shrinkage and selection operator, (ii) ridge regression, (iii) elastic net, (iv) random forest, (v) gradient boosting machines, and (vi) neural network. Each statistical learning algorithm was fitted using the pseudo-population generated from the marginalization of the time-dependent confounding process. Covariate balance was assessed using the longitudinal (i.e. cumulative-time product) stabilized weights with calibrated restrictions. Our results indicated that the treatment drop-in cohorts (with respect to metformin, sulfonylurea and SGLT-2i) may have improved diabetes care provisions in relation to treatment naïve (i.e. no treatment) cohort. As a clinical utility, we hope that this article will facilitate discussions around the prevention of adverse chronic outcomes associated with type II diabetes through the improvement of diabetes care provisions in primary care.

Primary Care Severe Asthma Registry and Education Project (PCSAR-EDU): Phase 1 - an e-Delphi for registry definitions and indices of clinician behaviour.

INTRODUCTION: Although most asthma is mild to moderate, severe asthma accounts for disproportionate personal and societal costs. Poor co-ordination of care between primary care and specialist settings is recognised as a barrier to achieving optimal outcomes. The Primary Care Severe Asthma Registry and Education (PCSAR-EDU) project aims to address these gaps through the interdisciplinary development and evaluation of both a 'real-world' severe asthma registry and an educational programme for primary care providers. This manuscript describes phase 1 of PCSAR-EDU which involves establishing interdisciplinary consensus on criteria for the: (1) definition of severe asthma; (2) generation of a severe asthma registry and (3) definition of an electronic-medical record data-based Clinician Behaviour Index (CBI). METHODS AND ANALYSIS: In phase 1, a modified e-Delphi activity will be conducted. Delphi panellists (n≥13) will be invited to complete a 30 min online survey on three separate occasions (i.e., three separate e-Delphi 'rounds') over a 3-month period. Expert opinion will be collected via an open-ended survey ('Open' round 1) and 5-point Likert scale and ranking surveys ('Closed' round 2 and 3). A fourth and final Delphi round will occur via synchronous meeting, whereby panellists approve a finalised ideal 'core criteria list', CBI and corresponding item weighting. ETHICS AND DISSEMINATION: Ethical approval has been obtained for the activities involved in phase 1 from the University of Toronto's Human Research Ethics Programme (approval number 39695). Future ethics approvals will depend on information gathered in the proceeding phase; thus, ethical approval for phase 2 and 3 of this study will be sought sequentially. Findings will be disseminated through conference presentations, peer-reviewed publications and knowledge translation tools.