Prevalence and Incidence Trends of Attention Deficit/Hyperactivity Disorder in Children and Youth Aged 1-24 Years in Ontario, Canada: A Validation Study of Health Administrative Data Algorithms: Tendances de la prévalence et de l'incidence du trouble de déficit de l'attention/hyperactivité chez les enfants et les jeunes âgés de 1 à 24 ans, en Ontario, Canada: une étude de validation des algorithmes de données administratives de santé.

OBJECTIVE: To estimate prevalence and incidence rates over time in children and youth with attention deficit/hyperactivity disorder from the validation of population-based administrative data algorithms using family physicians' electronic medical records as a reference standard. METHODS: A retrospective cohort study was conducted in Ontario, Canada to identify attention deficit/hyperactivity disorder among children and youth aged 1-24 years in health administrative data derived from case-finding algorithms using family physicians' electronic medical records. Multiple administrative data algorithms identifying attention deficit/hyperactivity disorder cases were developed and tested from physician-diagnosis of attention deficit/hyperactivity disorder in the electronic medical record to determine their diagnostic accuracy. We calculated algorithm performance using sensitivity, specificity, and predictive values. The most optimal algorithm was used to estimate prevalence and incidence rates of attention deficit/hyperactivity disorder from 2014 to 2021 in Ontario. RESULTS: The optimal performing algorithm was "2 physician visits for attention deficit/hyperactivity disorder in 1 year or 1 attention deficit/hyperactivity disorder-specific prescription" with sensitivity: 83.2% (95% confidence interval [CI], 81.8% to 84.5%), specificity: 98.6% (95% CI, 98.5% to 98.7%), positive predictive value: 78.6% (95% CI, 77.1% to 80.0%) and negative predictive value: 98.9% (95% CI, 98.8% to 99.0%). From 2014, prevalence rates for attention deficit/hyperactivity disorder increased from 5.29 to 7.48 per 100 population in 2021 (N = 281,785). Males had higher prevalence rates (7.49 to 9.59 per 100 population, 1.3-fold increase) than females (2.96-5.26 per 100 population, 1.8-fold increase) from 2014 to 2021. Incidence rates increased from 2014 (0.53 per 100 population) until 2018, decreased in 2020 then rose steeply in 2021 (0.89 per 100 population, N = 34,013). Males also had higher incidence rates than females from 2014 to 2020 with females surpassing males in 2021 (0.70-0.81 per 100 male population,1.2-fold increase versus 0.36-0.97 per 100 female population, 2.7-fold increase). CONCLUSIONS: Attention deficit/hyperactivity disorder is increasing in prevalence. We developed an administrative data algorithm that can reliably identify children and youth with attention deficit/hyperactivity disorder with good diagnostic accuracy.

Clinical practice guideline for management of osteoporosis and fracture prevention in Canada: 2023 update.

BACKGROUND: In Canada, more than 2 million people live with osteoporosis, a disease that increases the risk for fractures, which result in excess mortality and morbidity, decreased quality of life and loss of autonomy. This guideline update is intended to assist Canadian health care professionals in the delivery of care to optimize skeletal health and prevent fractures in postmenopausal females and in males aged 50 years and older. METHODS: This guideline is an update of the 2010 Osteoporosis Canada clinical practice guideline on the diagnosis and management of osteoporosis in Canada. We followed the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework and quality assurance as per Appraisal of Guidelines for Research and Evaluation (AGREE II) quality and reporting standards. Primary care physicians and patient partners were represented at all levels of the guideline committees and groups, and participated throughout the entire process to ensure relevance to target users. The process for managing competing interests was developed before and continued throughout the guideline development, informed by the Guideline International Network principles. We considered benefits and harms, patient values and preferences, resources, equity, acceptability and feasibility when developing recommendations; the strength of each recommendation was assigned according to the GRADE framework. RECOMMENDATIONS: The 25 recommendations and 10 good practice statements are grouped under the sections of exercise, nutrition, fracture risk assessment and treatment initiation, pharmacologic interventions, duration and sequence of therapy, and monitoring. The management of osteoporosis should be guided by the patient's risk of fracture, based on clinical assessment and using a validated fracture risk assessment tool. Exercise, nutrition and pharmacotherapy are key elements of the management strategy for fracture prevention and should be individualized. INTERPRETATION: The aim of this guideline is to empower health care professionals and patients to have meaningful discussions on the importance of skeletal health and fracture risk throughout older adulthood. Identification and appropriate management of skeletal fragility can reduce fractures, and preserve mobility, autonomy and quality of life.

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.

Ethnic and Immigrant Variations in the Time Trends of Dementia and Parkinsonism.

OBJECTIVE: We assessed long-term incidence and prevalence trends of dementia and parkinsonism across major ethnic and immigrant groups in Ontario. METHODS: Linking administrative databases, we established two cohorts (dementia 2001-2014 and parkinsonism 2001-2015) of all residents aged 20 to 100 years with incident diagnosis of dementia (N = 387,937) or parkinsonism (N = 59,617). We calculated age- and sex-standardized incidence and prevalence of dementia and parkinsonism by immigrant status and ethnic groups (Chinese, South Asian, and the General Population). We assessed incidence and prevalence trends using Poisson regression and Cochran-Armitage trend tests. RESULTS: Across selected ethnic groups, dementia incidence and prevalence were higher in long-term residents than recent or longer-term immigrants from 2001 to 2014. During this period, age- and sex-standardized incidence of dementia in Chinese, South Asian, and the General Population increased, respectively, among longer-term immigrants (by 41%, 58%, and 42%) and long-term residents (28%, 7%, and 4%), and to a lesser degree among recent immigrants. The small number of cases precluded us from assessing parkinsonism incidence trends. For Chinese, South Asian, and the General Population, respectively, prevalence of dementia and parkinsonism modestly increased over time among recent immigrants but significantly increased among longer-term immigrants (dementia: 134%, 217%, and 117%; parkinsonism: 55%, 54%, and 43%) and long-term residents (dementia: 97%, 132%, and 71%; parkinsonism: 18%, 30%, and 29%). Adjustment for pre-existing conditions did not appear to explain incidence trends, except for stroke and coronary artery disease as potential drivers of dementia incidence. CONCLUSION: Recent immigrants across major ethnic groups in Ontario had considerably lower rates of dementia and parkinsonism than long-term residents, but this difference diminished with longer-term immigrants.

The Effects of Walking or Nordic Walking in Adults 50 Years and Older at Elevated Risk of Fractures: A Systematic Review and Meta-Analysis.

Walking is a common activity among older adults. However, the effects of walking on health-related outcomes in people with low bone mineral density (BMD) are unknown. The authors included randomized controlled trials comparing walking to control in individuals aged ≥50 years with low BMD and at risk of fractures. The authors identified 13 randomized controlled trials: nine multicomponent interventions including walking, one that was walking only, and three Nordic walking trials. Most studies had a high risk of bias. Nordic walking may improve the Timed Up-and-Go values (1.39 s, 95% CI [1.00, 1.78], very low certainty). Multicomponent interventions including walking improved the 6-min walk test (39.37 m, 95% CI [21.83, 56.91], very low certainty) and lumbar spine BMD (0.01 g/cm2, 95% CI [0.00, 0.03], low certainty evidence). The effects on quality of life or femoral neck BMD were not significant. There were insufficient data on fractures, falls, or mortality. Nordic walking may improve physical functioning. The effects on other outcomes are less certain; one may need to combine walking with other exercises to be of benefit.

Time Trends of the Incidence, Prevalence, and Mortality of Parkinsonism.

OBJECTIVES: We assessed trends in the incidence, prevalence, and post-diagnosis mortality of parkinsonism in Ontario, Canada over 18 years. We also explored the influence of a range of risk factors for brain health on the trend of incident parkinsonism. METHODS: We established an open cohort by linking population-based health administrative databases from 1996 to 2014 in Ontario. The study population comprised residents aged 20-100 years with an incident diagnosis of parkinsonism ascertained using a validated algorithm. We calculated age- and sex-standardized incidence, prevalence, and mortality of parkinsonism, stratified by young onset (20-39 years) and mid/late onset (≥40 years). We assessed trends in incidence using Poisson regression, mortality using negative binomial regression, and prevalence of parkinsonism and pre-existing conditions (e.g., head injury) using the Cochran-Armitage trend test. To better understand trends in the incidence of mid/late-onset parkinsonism, we adjusted for various pre-existing conditions in the Poisson regression model. RESULTS: From 1996 to 2014, we identified 73,129 incident cases of parkinsonism (source population of ∼10.5 million), of whom 56% were male, mean age at diagnosis was 72.6 years, and 99% had mid/late-onset parkinsonism. Over 18 years, the age- and sex-standardized incidence decreased by 13.0% for mid/late-onset parkinsonism but remained unchanged for young-onset parkinsonism. The age- and sex-standardized prevalence increased by 22.8%, while post-diagnosis mortality decreased by 5.5%. Adjustment for pre-existing conditions did not appreciably explain the declining incidence of mid/late-onset parkinsonism. CONCLUSION: Young-onset and mid/late-onset parkinsonism exhibited differing trends in incidence over 18 years in Ontario. Further research to identify other factors that may appreciably explain trends in incident parkinsonism is warranted.

Actualisation 2023 des lignes directrices de pratique clinique pour la prise en charge de l'ostéoporose et la prévention des fractures au Canada.

CONTEXTE: Au Canada, plus de 2 millions de personnes vivent avec l'ostéoporose, une maladie qui accroît le risque de fracture, ce qui fait augmenter la morbidité et la mortalité, et entraîne une perte de qualité de vie et d'autonomie. La présente actualisation des lignes directrices vise à accompagner les professionnelles et professionnels de la santé au Canada dans la prestation de soins visant à optimiser la santé osseuse et à prévenir les fractures chez les femmes ménopausées et les hommes de 50 ans et plus. MÉTHODES: Le présent document fournit une actualisation des lignes directrices de pratique clinique de 2010 d'Ostéoporose Canada sur le diagnostic et la prise en charge de l'ostéoporose au pays. Nous avons utilisé l'approche GRADE (Grading of Recommendations Assessment, Development and Evaluation) et effectué l'assurance de la qualité conformément aux normes de qualité et de présentation des rapports de la grille AGREE II (Appraisal of Guidelines for Research & Evaluation). Les médecins de premier recours et les patientes et patients partenaires ont été représentés à tous les niveaux des comités et des groupes ayant participé à l'élaboration des lignes directrices, et ont participé à toutes les étapes du processus pour garantir la pertinence des informations pour les futurs utilisateurs et utilisatrices. Le processus de gestion des intérêts concurrents a été entamé avant l'élaboration des lignes directrices et s'est poursuivi sur toute sa durée, selon les principes du Réseau international en matière de lignes directrices. Dans la formulation des recommandations, nous avons tenu compte des avantages et des risques, des valeurs et préférences de la patientèle, des ressources, de l'équité, de l'acceptabilité et de la faisabilité; la force de chacune des recommandations a été déterminée en fonction du cadre GRADE. RECOMMANDATIONS: Les 25 recommandations et les 10 énoncés de bonne pratique sont répartis en sections : activité physique, alimentation, évaluation du risque de fracture, instauration du traitement, interventions pharmacologiques, durée et séquence du traitement, et monitorage. La prise en charge de l'ostéoporose devrait se fonder sur le risque de fracture, établi au moyen d'une évaluation clinique réalisée avec un outil d'évaluation du risque de fracture validé. L'activité physique, l'alimentation et la pharmacothérapie sont des éléments essentiels à la stratégie de prévention des fractures, qui devraient être personnalisés. INTERPRÉTATION: Les présentes lignes directrices ont pour but d'outiller les professionnelles et professionnels de la santé et la patientèle afin qu'ensemble ils puissent parler de l'importance de la santé osseuse et du risque de fracture tout au long de la vie adulte avancée. La détection et la prise en charge efficace de la fragilité osseuse peuvent contribuer à réduire les fractures et à préserver la mobilité, l'autonomie et la qualité de vie.

Academic family health teams: Part 2: patient perceptions of access.

OBJECTIVE: To explore patients' perceptions of primary care (PC) in the early development of academic family health teams (aFHTs)--interprofessional PC teams delivering care where family medicine and other health professional learners are trained--focusing on patients' perceptions of access and patients' satisfaction with services. DESIGN: Self-administered survey. SETTING: Six aFHTs in Ontario. PARTICIPANTS: Adult patients attending appointments and administrators at each of the aFHTs. MAIN OUTCOME MEASURES: Answers to questions about access from the Primary Care Assessment Tool Adult Expanded Version, the Primary Care Assessment Survey, and research team questions. RESULTS: The response rate was 47.3% (1026 of 2167). The mean (SD) Primary Care Assessment Tool first-contact accessibility score was 2.28 (0.36) out of 4, with 96.5% of patients rating access less than 3, which was the minimum expected level of care. Two-thirds (66.6%) indicated someone from their aFHTs would definitely or probably see them the same day if they were sick, 56.8% could definitely or probably get advice quickly by telephone, and 14.5% indicated it was definitely or probably difficult to be seen by their primary health care provider (HCP). Additionally, 46.9% indicated they would like to get medical advice by e-mail. For a routine or follow-up visit, 73.4% would be willing to see another aFHT physician if their regular provider were unavailable, while only 48.3% would see a nonphysician HCP. If sick, 88.2% would see another aFHT physician and 55.2% would see a nonphysician HCP. Most (75.3%) were satisfied with access to their regular HCP. CONCLUSION: Although patients are generally satisfied with care, there is room for improvement in access. Strategies are needed to enhance access to care, including addressing appropriate roles and scopes of practice for nonphysician HCPs. The accessibility challenges for aFHTs will likely affect new family physicians and other HCPs training in these practices and their approach to future practice.

Academic family health teams: Part 1: patient perceptions of core primary care domains.

OBJECTIVE: To explore patients' perceptions of primary care (PC) in the early development of academic family health teams (aFHTs)--interprofessional PC teams delivering care where family medicine and other health professional learners are trained--focusing on the 4 core domains of PC. DESIGN: Self-administered survey using the Primary Care Assessment Tool Adult Expanded Version (PCAT), which addresses 4 core domains of PC (first contact, continuity, comprehensiveness, and coordination). The PCAT uses a 4-point Likert scale (from definitely not to definitely) to capture patients' responses about the occurrence of components of care. SETTING: Six aFHTs in Ontario. PARTICIPANTS: Adult patients attending appointments and administrators at each of the aFHTs. MAIN OUTCOME MEASURES: Mean PCAT domain scores, with a score of 3 chosen as the minimum expected level of care. Multivariate log binomial regression models were used to estimate the adjusted relative risks of PCAT score levels as functions of patient- and clinic-level characteristics. RESULTS: The response rate was 47.3% (1026 of 2167). The mean age of respondents was 49.6 years, and most respondents were female (71.6%). The overall PC score (2.92) was just below the minimum expected care level. Scores for first contact (2.28 [accessibility]), coordination of information systems (2.67), and comprehensiveness of care (2.83 [service available] and 2.36 [service provided]) were below the minimum. Findings suggest some patient groups might not be optimally served by aFHTs, particularly recent immigrants. Characteristics of aFHTs, including a large number of physicians, were not associated with high performance on PC domains. Distributed practices across multiple sites were negatively associated with high performance for some domains. The presence of electronic medical records was not associated with improved performance on coordination of information systems. CONCLUSION: Patients of these aFHTs rated several core domains of PC highly, but results indicate room for improvement in several domains, particularly first-contact accessibility. A future study will determine what changes were implemented in these aFHTs and if patient ratings have improved. This reflective process is essential to ensuring that aFHTs provide effective models of PC to learners of all disciplines.

Development and validation of an administrative data algorithm to estimate the disease burden and epidemiology of multiple sclerosis in Ontario, Canada.

BACKGROUND: Few studies have assessed the accuracy of administrative data for identifying multiple sclerosis (MS) patients. OBJECTIVES: To validate administrative data algorithms for MS, and describe the burden and epidemiology over time in Ontario, Canada. METHODS: We employed a validated search strategy to identify all MS patients within electronic medical records, to identify patients with and without MS (reference standard). We then developed and validated different combinations of administrative data for algorithms. The most accurate algorithm was used to estimate the burden and epidemiology of MS over time. RESULTS: The accuracy of the algorithm of one hospitalisation or five physician billings over 2 years provided both high sensitivity (84%) and positive predictive value (86%). Application of this algorithm to provincial data demonstrated an increasing cumulative burden of MS, from 13,326 patients (0.14%) in 2000 to 24,647 patients in 2010 (0.22%). Age-and-sex standardised prevalence increased from 133.9 to 207.3 MS patients per 100,000 persons in the population, from 2000 - 2010. During this same period, age-and-sex-standardised incidence varied from 17.9 to 19.4 patients per 100,000 persons. CONCLUSIONS: MS patients can be accurately identified from administrative data. Our findings illustrated a rising prevalence of MS over time. MS incidence rates also appear to be rising since 2009.

Are family physicians comprehensively using electronic medical records such that the data can be used for secondary purposes? A Canadian perspective.

BACKGROUND: With the introduction and implementation of a variety of government programs and policies to encourage adoption of electronic medical records (EMRs), EMRs are being increasingly adopted in North America. We sought to evaluate the completeness of a variety of EMR fields to determine if family physicians were comprehensively using their EMRs and the suitability of use of the data for secondary purposes in Ontario, Canada. METHODS: We examined EMR data from a convenience sample of family physicians distributed throughout Ontario within the Electronic Medical Record Administrative data Linked Database (EMRALD) as extracted in the summer of 2012. We identified all physicians with at least one year of EMR use. Measures were developed and rates of physician documentation of clinical encounters, electronic prescriptions, laboratory tests, blood pressure and weight, referrals, consultation letters, and all fields in the cumulative patient profile were calculated as a function of physician and patient time since starting on the EMR. RESULTS: Of the 167 physicians with at least one year of EMR use, we identified 186,237 patients. Overall, the fields with the highest level of completeness were for visit documentations and prescriptions (>70%). Improvements were observed with increasing trends of completeness overtime for almost all EMR fields according to increasing physician time on EMR. Assessment of the influence of patient time on EMR demonstrated an increasing likelihood of the population of EMR fields overtime, with the largest improvements occurring between the first and second years. CONCLUSIONS: All of the data fields examined appear to be reasonably complete within the first year of adoption with the biggest increase occurring the first to second year. Using all of the basic functions of the EMR appears to be occurring in the current environment of EMR adoption in Ontario. Thus the data appears to be suitable for secondary use.

A validation study of administrative data algorithms to identify patients with Parkinsonism with prevalence and incidence trends.

BACKGROUND: Epidemiological studies for identifying patients with Parkinson's disease (PD) or Parkinsonism (PKM) have been limited by their nonrandom sampling techniques and mainly veteran populations. This reduces their use for health services planning. The purpose of this study was to validate algorithms for the case ascertainment of PKM from administrative databases using primary care patients as the reference standard. METHODS: We conducted a retrospective chart abstraction using a random sample of 73,003 adults aged ≥ 20 years from a primary care Electronic Medical Record Administrative data Linked Database (EMRALD) in Ontario, Canada. Physician diagnosis in the EMR was used as the reference standard and population-based administrative databases were used to identify patients with PKM from the derivation of algorithms. We calculated algorithm performance using sensitivity, specificity, and predictive values and then determined the population-level prevalence and incidence trends with the most accurate algorithms. RESULTS: We selected, '2 physician billing codes in 1 year' as the optimal administrative data algorithm in adults and seniors (≥ 65 years) due to its sensitivity (70.6-72.3%), specificity (99.9-99.8%), positive predictive value (79.5-82.8%), negative predictive value (99.9-99.7%), and prevalence (0.28-1.20%), respectively. CONCLUSIONS: Algorithms using administrative databases can reliably identify patients with PKM with a high degree of accuracy.

Assessing the validity of using administrative data to identify patients with epilepsy.

OBJECTIVE: Previous validation studies assessing the use of administrative data to identify patients with epilepsy have used targeted sampling or have used a reference standard of patients in the neurologist, hospital, or emergency room setting. Therefore, the validity of using administrative data to identify patients with epilepsy in the general population has not been previously assessed. The purpose of this study was to determine the validity of using administrative data to identify patients with epilepsy in the general population. METHODS: A retrospective chart abstraction study was performed using primary care physician records from 83 physicians distributed throughout Ontario and contributing data to the Electronic Medical Record Administrative data Linked Database (EMRALD) A random sample of 7,500 adult patients, from a possible 73,014 eligible, was manually chart abstracted to identify patients who had ever had epilepsy. These patients were used as a reference standard to test a variety of administrative data algorithms. RESULTS: An algorithm of three physician billing codes (separated by at least 30 days) in 2 years or one hospitalization had a sensitivity of 73.7% (95% confidence interval [CI] 64.8-82.5%), specificity of 99.8% (95% CI 99.6-99.9%), positive predictive value (PPV) of 79.5% (95% CI 71.1-88.0%), and negative predictive value (NPV) of 99.7% (95% CI 99.5-99.8%) for identifying patients who had ever had epilepsy. SIGNIFICANCE: The results of our study showed that administrative data can reasonably accurately identify patients who have ever had epilepsy, allowing for a "lifetime" population prevalence determination of epilepsy in Ontario and the rest of Canada with similar administrative databases. This will facilitate future studies on population level patterns and outcomes of care for patients living with epilepsy.

An administrative data validation study of the accuracy of algorithms for identifying rheumatoid arthritis: the influence of the reference standard on algorithm performance.

BACKGROUND: We have previously validated administrative data algorithms to identify patients with rheumatoid arthritis (RA) using rheumatology clinic records as the reference standard. Here we reassessed the accuracy of the algorithms using primary care records as the reference standard. METHODS: We performed a retrospective chart abstraction study using a random sample of 7500 adult patients under the care of 83 family physicians contributing to the Electronic Medical Record Administrative data Linked Database (EMRALD) in Ontario, Canada. Using physician-reported diagnoses as the reference standard, we computed and compared the sensitivity, specificity, and predictive values for over 100 administrative data algorithms for RA case ascertainment. RESULTS: We identified 69 patients with RA for a lifetime RA prevalence of 0.9%. All algorithms had excellent specificity (>97%). However, sensitivity varied (75-90%) among physician billing algorithms. Despite the low prevalence of RA, most algorithms had adequate positive predictive value (PPV; 51-83%). The algorithm of "[1 hospitalization RA diagnosis code] or [3 physician RA diagnosis codes with ≥1 by a specialist over 2 years]" had a sensitivity of 78% (95% CI 69-88), specificity of 100% (95% CI 100-100), PPV of 78% (95% CI 69-88) and NPV of 100% (95% CI 100-100). CONCLUSIONS: Administrative data algorithms for detecting RA patients achieved a high degree of accuracy amongst the general population. However, results varied slightly from our previous report, which can be attributed to differences in the reference standards with respect to disease prevalence, spectrum of disease, and type of comparator group.

Factors associated with plans for early retirement among Ontario family physicians during the COVID-19 pandemic: a cross-sectional study.

BACKGROUND: Higher numbers of family physicians (FPs) stopped practicing or retired during the COVID-19 pandemic, worsening the family doctor shortage in Canada. Our study objective was to determine which factors were associated with FPs' plans to retire earlier during the COVID-19 pandemic. METHODS: We administered two cross-sectional online surveys to Ontario FPs asking whether they were "planning to retire earlier" as a result of the pandemic during the first and third COVID-19 pandemic waves (Apr-Jun 2020 and Mar-Jul 2021). We used logistic regression to determine which factors were associated with early retirement planning, adjusting for age. RESULTS: The age-adjusted proportion of FP respondents planning to retire earlier was 8.2% (of 393) in the first-wave and 20.5% (of 454) in the third-wave. Planning for earlier retirement during the third-wave was associated with age over 50 years (50-59 years odds ratio (OR) 5.37 (95% confidence interval (CI):2.33-12.31), 60 years and above OR 4.18 (95% CI: 1.90-10.23)), having difficulty handling increased non-clinical responsibilities (OR 2.95 (95% CI: 1.79-4.94)), feeling unsupported to work virtually (OR 1.96 (95% CI: 1.19-3.23)) or in-person (OR 2.70 (95% CI: 1.67-4.55)), feeling unable to provide good care (OR 1.82 (95% CI: 1.10-3.03)), feeling work was not valued (OR 1.92 (95% CI: 1.15-3.23)), feeling frightened of dealing with COVID-19 (OR 2.01 (95% CI: 1.19-3.38)), caring for an elderly relative (OR 2.36 (95% CI: 1.69-3.97)), having difficulty obtaining personal protective equipment (OR 2.00 (95% CI: 1.16-3.43)) or difficulty implementing infection control practices in clinic (OR 2.10 (95% CI: 1.12-3.89)). CONCLUSIONS: Over 20% of Ontario FP respondents were considering retiring earlier by the third-wave of the COVID-19 pandemic. Supporting FPs in their clinical and non-clinical roles, such that they feel able to provide good care and that their work is valued, reducing non-clinical (e.g., administrative) responsibilities, dealing with pandemic-related fears, and supporting infection control practices and personal protective equipment acquisition in clinic, particularly in those aged 50 years or older may help increase family physician retention during future pandemics.

Patient visits and prescriptions for attention-deficit/hyperactivity disorder from 2017-2021: Impacts of COVID-19 pandemic in primary care.

OBJECTIVE: To determine whether more patients presented with Attention-deficit/hyperactivity disorder (ADHD)-related visits and/or sought care from family physicians more frequently during the COVID-19 pandemic. METHODS: Electronic medical records from the University of Toronto Practice-Based Research Network were used to characterize changes in family physician visits and prescriptions for ADHD medications. Annual patient prevalence and visit rates pre-pandemic (2017-2019) were used to calculate the expected rates in 2020 and 2021. The expected and observed rates were compared to identify any pandemic-related changes. RESULTS: The number of patients presenting for ADHD-related visits during the pandemic was consistent with pre-pandemic trends. However, observed ADHD-related visits in 2021 were 1.32 times higher than expected (95% CI: 1.05-1.75), suggesting that patients visited family physicians more frequently than before the pandemic. CONCLUSION: Demand for primary care services related to ADHD has continued to increase during the pandemic, with increased health service use among those accessing care.

Trends in health service use among persons with Parkinson's disease by rurality: A population-based repeated cross-sectional study.

BACKGROUND: The global burden of Parkinson's disease (PD) has more than doubled over the past three decades, and this trend is expected to continue. Despite generally poorer access to health care services in rural areas, little previous work has examined health system use in persons with PD by rurality. We examined trends in the prevalence of PD and health service use among persons with PD by rurality in Ontario, Canada. METHODS: We conducted a repeated, cross-sectional analysis of persons with prevalent PD aged 40+ years on April 1st of each year from 2000 to 2018 using health administrative databases and calculated the age-sex standardized prevalence of PD. Prevalence of PD was also stratified by rurality and sex. Negative binomial models were used to calculate rate ratios with 95% confidence intervals comparing rates of health service use in rural compared to urban residents in 2018. RESULTS: The age-sex standardized prevalence of PD in Ontario increased by 0.34% per year (p<0.0001) and was 459 per 100,000 in 2018 (n = 33,479), with a lower prevalence in rural compared to urban residents (401 vs. 467 per 100,000). Rates of hospitalizations and family physician visits declined over time in both men and women with PD in rural and urban areas, while rates of emergency department, neurologist, and other specialist visits increased. Adjusted rates of hospitalizations were similar between rural and urban residents (RR = 1.04, 95% CI [0.96, 1.12]), while rates of emergency department visits were higher among rural residents (RR = 1.35, 95% CI [1.27, 1.42]). Rural residents had lower rates of family physician (adjusted RR = 0.82, (95% CI [0.79, 0.84]) and neurologist visits (RR = 0.74, 95% CI [0.72, 0.77]). INTERPRETATION: Lower rates of outpatient health service use among persons residing in rural regions, contrasting with higher rates of emergency department visits suggest inequities in access. Efforts to improve access to primary and specialist care for persons with PD in rural regions are needed.

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 retrospective cohort study.

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.

Identification of Early Onset Dementia in Population-Based Health Administrative Data: A Validation Study Using Primary Care Electronic Medical Records.

BACKGROUND: Early onset dementia (EOD) occurs when symptoms of dementia begin between 45 to 64 years of age. OBJECTIVE: We developed and validated health administrative data algorithms for EOD and compared demographic characteristics and presence of comorbid conditions amongst adults with EOD, late onset dementia (LOD) and adults with no dementia in Ontario, Canada. METHODS: Patients aged 45 to 64 years identified as having EOD in their primary care electronic medical records had their records linked to provincial health administrative data. We compared several combinations of physician's claims, hospitalizations, emergency department visits and prescriptions. Age-standardized incidence and prevalence rates of EOD were estimated from 1996 to 2016. RESULTS: The prevalence of EOD for adults aged 45 to 64 years in our primary care reference cohort was 0.12%. An algorithm of ≥1 hospitalization or ≥3 physician claims at least 30 days apart in a two-year period or ≥1 dementia medication had a sensitivity of 72.9% (64.5-81.3), specificity of 99.7% (99.7-99.8), positive predictive value (PPV) of 23.7% (19.1-28.3), and negative predictive value of 100.0%. Multivariate logistic regression found adults with EOD had increased odds ratios for several health conditions compared to LOD and no dementia populations. From 1996 to 2016, the age-adjusted incidence rate increased slightly (0.055 to 0.061 per 100 population) and the age-adjusted prevalence rate increased three-fold (0.11 to 0.32 per 100 population). CONCLUSION: While we developed a health administrative data algorithm for EOD with a reasonable sensitivity, its low PPV limits its ability to be used for population surveillance.