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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.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.A retrospective cohort study of family medicine patients from 2017-2020.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.Active family practice patients aged 10 and older with at least 1 year of EMR data.Visits for anxiety and/or depression; prescriptions for antidepressant medications.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.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.

Background It has been suggested that the COVID-19 pandemic has worsened socioeconomic disparities in access to primary care. Given these concerns, we investigated whether the pandemic affected visits to family physicians differently across sociodemographic groups. Methods We conducted a retrospective cohort study using electronic medical records from family physician practices within the University of Toronto Practice-Based Research Network. We evaluated primary care visits for a fixed cohort of patients who were active within the database as of Jan. 1, 2019, to estimate the number of patients who visited their family physician (visitor rate) and the number of distinct visits (visit volume) between Jan. 1, 2019, to June 30, 2020. We compared trends in visitor rate and visit volume during the pandemic (Mar. 14 to June 30, 2020) with the same period in the previous year (Mar. 14 to June 30, 2019) across sociodemographic factors, including age, sex, neighbourhood income, material deprivation and ethnic concentration. Results We included 365 family physicians and 372 272 patients. Compared with the previous year, visitor rates during the pandemic period dropped by 34.5%, from 357 visitors per 1000 people to 292 visitors per 1000 people. Declines in visit volume during the pandemic were less pronounced (21.8% fewer visits), as the mean number of visits per patient increased during the pandemic (from 1.64 to 1.96). The declines in visitor rate and visit volume varied based on patient age and sex, but not socioeconomic status. Interpretation Although the number of visits to family physicians dropped substantially during the first few weeks of the COVID-19 pandemic in Ontario, patients from communities with low socioeconomic status did not appear to be disproportionately affected. In this primary care setting, the pandemic appears not to have worsened socioeconomic disparities in access to care.

BackgroundSeveral new classes of glucose-lowering medications have been introduced in the past two decades. Some, such as sodium-glucose cotransporter 2 inhibitors (SGLT2s), have evidence of improved cardiovascular outcomes, while others, such as dipeptidyl peptidase-4 inhibitors (DPP4s), do not. It is therefore important to identify their uptake in order to find ways to support the use of more effective treatments.AimTo analyse the uptake of these new classes among patients with type 2 diabetes.Design and settingThis was a retrospective repeated cross-sectional analysis in primary care. Rates of medication uptake in Australia, Canada, England, and Scotland were compared.MethodPrimary care Electronic Medical Data on prescriptions (Canada, UK) and dispensing data (Australia) from 2012 to 2017 were used. Individuals aged ≥40 years on at least one glucose-lowering drug class in each year of interest were included, excluding those on insulin only. Proportions of patients in each nation, for each year, on each class of medication, and on combinations of classes were determined.ResultsData from 238 619 patients were included in 2017. The proportion of patients on sulfonylureas (SUs) decreased in three out of four nations, while metformin decreased in Canada. Use of combinations of metformin and new drug classes increased in all nations, replacing combinations involving SUs. In 2017, more patients were on DPP4s (between 19.1% and 27.6%) than on SGLT2s (between 10.1% and 15.3%).ConclusionNew drugs are displacing SUs. However, despite evidence of better outcomes, the adoption of SGLT2s lagged behind DPP4s.

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.

Funding: We like to acknowledge the SOPR-CIHR funding for NDR, and AHRQ Inspire PHC award for the application of this study. This statistical research was supported by Natural Sciences and Engineering Research Council (NSERC) PhD scholarship (CGS: 534600). 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 naive (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. Postprint

IntroductionAlthough 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 analysisIn 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 disseminationEthical 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.

Background : Population-based surveys indicate that many people experienced increased psychological distress during the COVID-19 pandemic. We aimed to determine if there was a corresponding increase in patients receiving services for anxiety and depression from their family physicians. Methods : Electronic medical records from the University of Toronto Practice Based-Research Network (UTOPIAN; N = 322,920 patients) were used to calculate incidence rates for anxiety/depression related visits and antidepressant prescriptions before the COVID-19 pandemic (January 2018-February 2020) and during the COVID-19 pandemic (March-December 2020). Data from the pre-pandemic period were used to predict expected rates during the pandemic period which was compared to the observed rate. Results : The number of patients presenting with anxiety/depression symptoms in primary care varied across age groups, sex, and time since pandemic onset. Among the youngest patients (ages 10-18 years), there were fewer patients than pre-pandemic visiting for new episodes of anxiety/depression and being prescribed antidepressants in April 2020, but by the end of 2020 this trend had reversed such that incidence rates for anxiety/depression related visits were higher than pre-pandemic levels. Among older adults, incidence rates of anxiety/depression related visits increased in April 2020 with the onset of the pandemic, and remained higher than expected throughout 2020. Limitations : A convenience sample of 362 family physicians in Ontario was used. Conclusion : Demand for mental health services from family physicians varied by patient age and sex and changed with the onset of the COVID-19 pandemic. By the end of 2020, more patients were seeking treatment for anxiety/depression related concerns.

Stoma rods are used traditionally to prevent retraction of loop stomas into the abdominal cavity. However, there is very little evidence to support or refute their use. The aim of the present systematic review and metaanalysis was to assess the current data on stoma rods in loop stomas. The primary outcomes were stoma necrosis and stoma retraction. A systematic review and metaanalyses were conducted using the preferred reporting items for systematic reviews and metaanalysis guidelines (PRISMA). The study protocol was registered prospectively on PROSPERO. An electronic search was performed by two reviewers independently using predefined search strategy and Medline. Bibliographies of selected studies were screened for additional references. RevMan was used to generate forest plots and calculate odds ratios and 95% confidence intervals (CIs). In total, five studies were identified that met inclusion criteria, including four randomized controlled trials. Three studies examined only ileostomies, while one included both colostomies and ileostomies, and one only examined colostomies. In total, 561 patients underwent a stoma with a rod compared to 443 without. There was a higher rate of dermatitis (rod 29.86% vs no rod 16% OR 2.65; 95% CI 1.79–3.93) and stoma necrosis (rod 7% vs no rod 1.15% OR 5.58; 95% CI 1.85–16.84) in the rod group, but there was no significant difference in stoma retraction (rod 2.28% vs no rod 3.45%; OR 0.7; 95% CI 0.32–1.54). Stoma rods do not reduce the incidence of stoma retraction and instead lead to increased rates of dermatitis and stoma necrosis.

Objective: Antipsychotic use among youth is common and is associated with metabolic side effects such as weight gain. Guidelines recommend periodic screening of metabolic measures in youth prescribed antipsychotics; however, a guideline-to-practice gap exists. We systematically reviewed the literature to synthesize the knowledge from interventions that aim to improve antipsychotic metabolic screening. We described the interventions' effect on screening rates, the strategies used for improvement, and study quality. Methods: We conducted a systematic review of studies that attempted to improve antipsychotic metabolic risk screening practices among pediatric populations published between 2004 and August 2019. We included studies with an improvement intervention that compared screening rates before and after the intervention. We extracted data about study characteristics, screening rates in pre- and postintervention groups, strategies used to influence screening practices, and assessed studies' risk of bias. This review was prospectively registered with PROSPERO #CRD42018088241. Results: We identified six studies that demonstrated modest improvements in median metabolic screening rates for waist circumference (0%-16%), glucose (9%-39%), and lipids (11%-37%). Median postintervention screening rates were higher for weight and blood pressure (84% and 72.5%) compared with glucose and lipids (39% and 37%). Interventions used a variety of improvement strategies to address patient-, provider-, and organization-level barriers for screening, including increasing patient and provider knowledge regarding antipsychotic side effects, fostering social clinical environments that promote screening, and organizational commitment for screening antipsychotic-treated youth. All interventions were deemed at high risk of bias due to uncontrolled design and lack of adjustment for confounders. Conclusions: Included studies reported partial success in improving antipsychotic screening rates but were of poor methodological quality. Common improvement strategies may affect provider behavior to conduct metabolic screening, but these need to be tailored to local resources and organization structure. Future studies need to use rigorous methodology and theory-informed improvement strategies aligned with organizational actions to prioritize safe and judicious practice of antipsychotics among pediatric populations.

Purpose We aimed to determine the degree to which reasons for primary care visits changed during the COVID-19 pandemic. Methods We used data from the University of Toronto Practice Based Research Network (UTOPIAN) to compare the most common reasons for primary care visits before and after the onset of the COVID-19 pandemic, focusing on the number of visits and the number of patients seen for each of the 25 most common diagnostic codes. The proportion of visits involving virtual care was assessed as a secondary outcome. Results UTOPIAN family physicians (N = 379) conducted 702,093 visits, involving 264,942 patients between March 14 and December 31, 2019 (pre-pandemic period), and 667,612 visits, involving 218,335 patients between March 14 and December 31, 2020 (pandemic period). Anxiety was the most common reason for visit, accounting for 9.2% of the total visit volume during the pandemic compared to 6.5% the year before. Diabetes and hypertension remained among the top 5 reasons for visit during the pandemic, but there were 23.7% and 26.2% fewer visits and 19.5% and 28.8% fewer individual patients accessing care for diabetes and hypertension, respectively. Preventive care visits were substantially reduced, with 89.0% fewer periodic health exams and 16.2% fewer well-baby visits. During the pandemic, virtual care became the dominant care format (77.5% virtual visits). Visits for anxiety and depression were the most common reasons for a virtual visit (90.6% virtual visits). Conclusion The decrease in primary care visit volumes during the COVID-19 pandemic varied based on the reason for the visit, with increases in visits for anxiety and decreases for preventive care and visits for chronic diseases. Implications of increased demands for mental health services and gaps in preventive care and chronic disease management may require focused efforts in primary care.

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.

To demonstrate how non-negative matrix factorization can be used to learn a temporal topic model over a large collection of primary care clinical notes, characterizing diverse COVID-19 pandemic effects on the physical/mental/social health of residents of Toronto, Canada.The study employs a retrospective open cohort design, consisting of 382,666 primary care progress notes from 44,828 patients, 54 physicians, and 12 clinics collected 01/01/2017 through 31/12/2020. Non-negative matrix factorization uncovers a meaningful latent topical structure permeating the corpus of primary care notes. The learned latent topical basis is transformed into a multivariate time series data structure. Time series methods and plots showcase the evolution/dynamics of learned topics over the study period and allow the identification of COVID-19 pandemic effects. We perform several post-hoc checks of model robustness to increase trust that descriptive/unsupervised inferences are stable over hyper-parameter configurations and/or data perturbations.Temporal topic modelling uncovers a myriad of pandemic-related effects from the expressive clinical text data. In terms of direct effects on patient-health, topics encoding respiratory disease symptoms display altered dynamics during the pandemic year. Further, the pandemic was associated with a multitude of indirect patient-level effects on topical domains representing mental health, sleep, social and familial dynamics, measurement of vitals/labs, uptake of prevention/screening maneuvers, and referrals to medical specialists. Finally, topic models capture changes in primary care practice patterns resulting from the pandemic, including changes in EMR documentation strategies and the uptake of telemedicine.Temporal topic modelling applied to a large corpus of rich primary care clinical text data, can identify a meaningful topical/thematic summarization which can provide policymakers and public health stakeholders a passive, cost-effective, technology for understanding holistic impacts of the COVID-19 pandemic on the primary healthcare system and community/public-health.

Health equity allows people to reach their full health potential and receive high-quality care that is appropriate for them and their needs, no matter where they live, what they have, or who they are. It is a core element of quality in health care. Around the world, there are many efforts to improve equity through primary care. In order to advance these efforts, it is important to share successes and challenges. Building on our work with international stakeholders to identify key primary care research priorities, we organized the Toronto International Conference on Quality in Primary Care that was held on November 16, 2019. Participants from 8 countries took part. Key recommendations included leveraging the continuous relationships between providers and patients over time, developing partnerships between the health and social sectors, and advocating for resources that are proportional to patient need. Solutions must be generated using team-based approaches that explicitly include people with who have experienced discrimination. Progress will require confronting structural determinants including racism, capitalism, and colonialism. Conference participants suggested practical solutions, such as developing a public transportation program for rural residents to improve community building and the ability to attend medical appointments, and identifying patients who have recently missed clinic visits that may benefit from additional care. These approaches will need to be evaluated through high-quality research and quality improvement, with a knowledge translation that facilitates sustainability and expansion across settings.

IntroductionSleep-time blood pressure correlates more strongly with adverse cardiovascular events than does daytime blood pressure. The BedMed trial evaluates whether bedtime antihypertensive administration, as compared with conventional morning use, reduces major adverse cardiovascular events.Methods and analysisDesignProspective randomised, open-label, blinded end-point trial.ParticipantsHypertensive primary care patients using blood pressure lowering medication and free from glaucoma.SettingCommunity primary care providers in 5 Canadian provinces (British Columbia, Alberta, Saskatchewan, Manitoba and Ontario) are mailing invitations to their eligible patients. Social media campaigns (Google, Facebook) are additionally running in the same provinces.InterventionConsenting participants are allocated via central randomisation to bedtime vs morning use of all antihypertensives.Follow-up(1) Telephone or email questionnaire at 1 week, 6 weeks, 6 months and every 6 months thereafter, and (2) accessing linked governmental healthcare databases tracking hospital and community medical services.Primary outcomeComposite of all-cause death, or hospitalisation for myocardial infarction/acute-coronary syndrome, stroke or congestive heart failure.Secondary outcomesEach primary outcome element on its own, all-cause hospitalisation or emergency department visit, long-term care admission, non-vertebral fracture, new glaucoma diagnosis, 18-month cognitive decline from baseline (via Short Blessed Test).Select other outcomesSelf-reported nocturia burden at 6 weeks and 6 months (no, minor or major burden), 1-year self-reported overall health score (EQ-5D-5L), self-reported falls, total cost of care (acute and community over study duration) and mean sleep-time systolic blood pressure after 6 months (via 24-hour monitor in a subset of 302 sequential participants).Primary outcome analysisCox proportional hazards survival analysis.Sample sizeThe trial will continue until a projected 254 primary outcome events have occurred.Current statusEnrolment ongoing (3227 randomised to date).Ethics and disseminationBedMed has ethics approval from six research ethics review boards and will publish results in a peer-reviewed journal.Trial registration numberNCT02990663.

Objective: To provide primary care providers an up-to-date approach to the diagnosis and management of atopic dermatitis (AD). Quality of Evidence: PubMed, Cochrane, and MEDLINE databases were searched for relevant meta-analyses, randomized controlled trials, systematic reviews, and observational studies about the diagnosis and management of AD. Main Message: AD is a common chronic skin disease characterized by immune dysregulation and skin barrier dysfunction. It has a substantial impact on quality of life across all ages. Despite this, AD is often still undertreated due to inaccurate diagnoses, even by many experienced dermatologists. Many primary care providers may not be aware of its commonly associated medical and psychiatric comorbidities or be familiar with new treatment options. Conclusion: In this clinical review, we describe the pathophysiology, epidemiology, diagnosis, and treatment of AD, specifically highlighting commonly used therapies and novel medications.

Funding: Support for this project was provided by North York General Hospital. People with serious mental illness die 10–25 years sooner than people without these conditions. Multiple challenges to accessing and benefitting from healthcare have been identified amongst this population, including a lack of coordination between mental health services and general health services. It has been identified in other conditions such as diabetes that accurate documentation of diagnosis in the primary care chart is associated with better quality of care. It is suspected that if a patient admitted to the hospital with serious mental illness is then discharged without adequate identification of their diagnosis in the primary care setting, follow up (such as medication management and care coordination) may be more difficult. We identified cohorts of patients with schizophrenia and bipolar disorder who accessed care through the North York Family Health Team (a group of 77 family physicians in Toronto, Canada) and North York General Hospital (a large community hospital) between January 1, 2012 and December 31, 2014. We identified whether labeling for these conditions was concordant between the two settings and explored predictors of concordant labeling. This was a retrospective cross-sectional study using de-identified data from the Health Databank Collaborative, a linked primary care-hospital database. We identified 168 patients with schizophrenia and 370 patients with bipolar disorder. Overall diagnostic concordance between primary care and hospital records was 23.2% for schizophrenia and 15.7% for bipolar disorder. Concordance was higher for those with multiple (2+) inpatient visits (for schizophrenia: OR 2.42; 95% CI 0.64–9.20 and for bipolar disorder: OR 8.38; 95% CI 3.16–22.22). Capture-recapture modeling estimated that 37.4% of patients with schizophrenia (95% CI 20.7–54.1) and 39.6% with bipolar disorder (95% CI 25.7–53.6) had missing labels in both settings when adjusting for patients’ age, sex, income quintiles and co-morbidities. In this sample of patients accessing care at a large family health team and community hospital, concordance of diagnostic information about serious mental illness was low. Interventions should be developed to improve diagnosis and continuity of care across multiple settings. Publisher PDF

This study was funded by the Foundation for Advancing Family Medicine of the College of Family Physicians of Canada (2018 Janus Research Grant). BO completed this work during a Research Fellowship with the Medical Psychiatry Alliance, Toronto, Ontario. BO and MG receive salary support from North York General Hospital and the Department of Family and Community Medicine, University of Toronto, Ontario, Canada. Objectives In order to address the substantial increased risk of cardiovascular disease among people with schizophrenia, it is necessary to identify the factors responsible for some of that increased risk. We analysed the extent to which these risk factors were documented in primary care electronic medical records (EMR), and compared their documentation by patient and provider characteristics. Design Retrospective cohort study. Setting EMR database of the University of Toronto Practice-Based Research Network Data Safe Haven. P articipants 197 129 adults between 40 and 75 years of age; 4882 with schizophrenia and 192 427 without. Primary and secondary outcome measures Documentation of cardiovascular disease risk factors (age, sex, smoking history, presence of diabetes, blood pressure, whether a patient is currently on medication to reduce blood pressure, total cholesterol and high-density lipoprotein cholesterol). Results Documentation of cardiovascular risk factors was more complete among people with schizophrenia (74.5% of whom had blood pressure documented at least once in the last 2 years vs 67.3% of those without, p>0.0001). Smoking status was not documented in 19.8% of those with schizophrenia and 20.8% of those without (p=0.0843). Factors associated with improved documentation included older patients (OR for ages 70–75 vs 45–49=3.51, 95% CI 3.26 to 3.78), male patients (OR=1.39, 95% CI 1.33 to 1.45), patients cared for by a female provider (OR=1.52, 95% CI 1.12 to 2.07) and increased number of encounters (OR for ≥10 visits vs 3–5 visits=1.53, 95% CI 1.46 to 1.60). Conclusions Documentation of cardiovascular risk factors was better among people with schizophrenia than without, although overall documentation was inadequate. Efforts to improve documentation of risk factors are warranted in order to facilitate improved management. Publisher PDF

This project received funding from the North York General Hospital Foundation (to BO) and was supported by the Besrour Centre, a hub of collaboration to advance global family medicine affiliated with the College of Family Physicians of Canada. Background: High quality primary care is fundamental to achieving health for all. Research priority setting is a key facilitator of improving how research activity responds to concrete needs. There has never before been an attempt to identify international primary care research priorities, in order to guide resource allocation and to enhance global primary care. This study aimed to identify a list of top 10 primary care research priorities, as identified by members of the public, health professionals working in primary care, researchers, and policymakers. Methods: We adapted the James Lind Alliance Priority Setting Partnership process, to conduct multiple rounds of stakeholder recruitment and prioritization. The study included an online survey conducted in three languages, followed by an in-person priority setting exercise involving primary care stakeholders from 13 countries. Findings: Participants identified a list of top 10 international primary care research priorities. These were focused on diverse topics such as enhancing use of information and communication technology, and improving integration of indigenous communities’ knowledge in the design of primary care services. The main limitations of the study related to challenges in engaging an adequate diversity and number of appropriate stakeholders, particularly members of the public, in aggregating the diverse set of responses into coherent categories representative of the participants’ perspectives and in adequately representing the diversity of submitted responses while ensuring research priorities on the final list are sufficiently actionable to guide resource allocation. Conclusions: The top 10 identified research priorities have the potential to guide research resource allocation, supporting funding agencies and initiatives to promote global primary care research and practice. Publisher PDF

BACKGROUND: Child health care is an important part of the UK general practice workload; in 2009 children aged 1 (were based on more than expert opinion). CONCLUSION: Producing valid primary care quality indicators for children is feasible but difficult. These indicators require piloting before wide adoption but have the potential to raise the standard of primary care for all children.

Background: The production of health information has begun to shift from commercial organizations to health care users themselves. People increasingly go online to share their own health and illness experiences and to access information others have posted, but this behavior has not been investigated at a population level in the United Kingdom. Objective: This study aims to explore access and production of user-generated health content among UK Internet users and to investigate relationships between frequency of use and other variables. Methods: We undertook an online survey of 1000 UK Internet users. Descriptive and multivariate statistical analyses were used to interpret the data. Results: Nearly one-quarter of respondents (23.7%, 237/1000) reported accessing and sharing user-generated health content online, whereas more than 20% (22.2%, 222/1000) were unaware that it was possible to do this. Respondents could be divided into 3 groups based on frequency of use: rare users (78.7%, 612/778) who accessed and shared content less than weekly, users (13.9%, 108/778) who did so weekly, and superusers (7.5%, 58/778) who did so on a daily basis. Superusers were more likely to be male ( P

Mamdani and Laupacis describe multiple sources of health care data that are increasingly available for observational studies, including those involving advanced analytics to facilitate point-of-care decision- making.[1][1] We add primary care electronic medical record (EMR) data to the sources of

Background Despite Canada’s universal healthcare system, significant barriers impede individuals experiencing homelessness from accessing health services. Furthermore, there is a paucity in the qualitative literature describing how Canadians experiencing homelessness access health care services. Our objective was to qualitatively explore perceived healthcare needs and barriers among individuals experiencing homelessness in one large Canadian city – Calgary, Alberta. Methods We conducted a qualitative descriptive study that included open-ended interviews and focus groups with a variety of stakeholders who are involved in healthcare among Calgary’s homeless populations. These included individuals experiencing homelessness (n = 11) as well as employees from several healthcare service providers for those experiencing homelessness (n = 11). Transcripts from these interviews were thematically analyzed by two analysts. Results Stakeholder interviews yielded several pervasive themes surrounding the health care needs of the homeless and barriers to accessing care. Some of the primary health care needs which were identified included mental health, addictions, and allied health as well as care that addresses the social determinants of health. Notably, it was difficult for many stakeholders to pinpoint specific health care priorities, as they identified that the health care needs among Calgary’s homeless populations are diverse and complex, often even describing the needs as overwhelming. Types of barriers to primary care that were identified by stakeholders included: emotional, educational, geographical, financial and structural barriers, as well as discrimination. Conclusions Our findings highlight the diverse primary health care needs of Calgary’s homeless populations. Despite the fact that Canada has a universal publicly funded health care system, individuals experiencing homelessness face significant barriers in accessing primary care.

With the increasing recognition of health literacy as a worldwide research priority, the development and refinement of indices to measure the construct is an important area of inquiry. Furthermore, the proliferation of online resources and research means that there is a growing need for self-administered instruments. We undertook a systematic overview to identify all published self-administered health literacy assessment indices to report their content and considerations associated with their administration. A primary aim of this study was to assist those seeking to employ a self-reported health literacy index to select one that has been developed and validated for an appropriate context, as well as with desired administration characteristics. Systematic searches were carried out in four electronic databases, and studies were included if they reported the development and/or validation of a novel health literacy assessment measure. Data were systematically extracted on key characteristics of the instruments: breadth of construct (“generic” vs. “content- or context- specific” health literacy), whether it was an original instrument or a derivative, country of origin, administration characteristics, age of target population (adult vs. pediatric), and evidence for validity. 35 articles met the inclusion criteria. There were 27 original instruments (27/35; 77.1%) and 8 derivative instruments (8/35; 22.9%). 22 indices measured “general” health literacy (22/35; 62.9%) while the remainder measured condition- or context- specific health literacy (13/35; 37.1%). Most health literacy measures were developed in the United States (22/35; 62.9%), and about half had adequate face, content, and construct validity (16/35; 45.7%). Given the number of measures available for many specific conditions and contexts, and that several have acceptable validity, our findings suggest that the research agenda should shift towards the investigation and elaboration of health literacy as a construct itself, in order for research in health literacy measurement to progress.

Objective: Venoplasty has been proposed, alongside the theory of chronic cerebrospinal venous insufficiency (CCSVI), as a treatment for multiple sclerosis (MS). Despite concerns about its efficacy and safety, thousands of patients have undergone the procedure. This paper analyses YouTube videos where patients have shared their treatment experiences. Methods: Content analysis on the 100 most viewed videos from over 4000 identified in a search for 'CCSVI', and qualitative thematic analysis on popular 'channels' demonstrating patients' experiences. Results: Videos adopt an overwhelmingly positive stance towards CCSVI; many were uploaded by patients and present pre- and/or post-treatment experiences. Patients demonstrate rather than merely describe their symptoms, performing tests on themselves before and after treatment to quantify improvement. Videos combine medical terminology and tests with personal experiences of living with MS. Conclusion: Social media technologies provide patients with novel opportunities for advocating for particular treatments; generating alternative forms of 'evidence' built on a hybrid of personal experience and medical knowledge. Practice implications: Healthcare practitioners need to engage with new digital forms of content, including online social media. Instead of disregarding sources not considered 'evidence-based', practitioners should enhance their understanding of what 'experiential-evidence' is deemed significant to patients, particularly in contested areas of healthcare. © 2013 The Authors.