The association between diabetes and breast cancer stage at diagnosis: a population-based study.

Women with diabetes have higher breast cancer incidence and mortality. The purpose of this study was to examine the impact of diabetes on stage at breast cancer diagnosis, as a possible reason for their higher mortality. Using population-based health databases from Ontario, Canada, this retrospective cohort study examined stage at diagnosis (II, III, or IV vs I) among women aged 20-105 years who were newly diagnosed with invasive breast cancer between 2007 and 2012. We compared those with diabetes to those without diabetes. Diabetes was defined based on medical records using a validated algorithm. Among 38,407 women with breast cancer, 6115 (15.9 %) women had diabetes. Breast cancer patients with diabetes were significantly more likely to present with advanced-stage breast cancer than those without diabetes. After adjustment for mammograms and other covariates, diabetes was associated with a significantly increased risk of Stage II [adjusted odds ratio (aOR) 1.14, 95 % confidence interval (CI) 1.07, 1.22], Stage III (aOR 1.21, 95 % CI 1.11, 1.33), and Stage IV (aOR 1.16, 95 % CI 1.01, 1.33) versus Stage I breast cancer. Women with diabetes had a higher risk of lymph node metastases (aOR 1.16, 95 % CI 1.06, 1.27) and tumors with size over 2 cm (aOR 1.16, 95 % CI 1.06, 1.28). Diabetes was associated with more advanced-stage breast cancer, even after accounting for differences in screening mammogram use and other factors. Our findings suggest that diabetes may predispose to more aggressive breast cancer, which may be a contributor to their higher cancer mortality.

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.

Feasibility and validity of the self-administered computerized assessment of mild cognitive impairment with older primary care patients.

We investigated whether a validated computerized cognitive test, the Computerized Assessment of Mild Cognitive Impairment (CAMCI), could be independently completed by older primary care patients. We also determined the optimal cut-off for the CAMCI global risk score for mild cognitive impairment against an independent neuropsychological reference standard. All eligible patients aged 65 years and older, seen consecutively over 2 months by 1 family practice of 13 primary care physicians, were invited to participate. Patients with a diagnosis or previous work-up for dementia were excluded. Primary care physicians indicated whether they, the patient, or family had concerns about each patient's cognition. A total of 130 patients with cognitive concerns and a matched sample of 133 without cognitive concerns were enrolled. The CAMCI was individually administered after instructions to work independently. Comments were recorded verbatim. A total of 259 (98.5%) completed the entire CAMCI. Two hundred and forty-one (91.6%) completed it without any questions or after simple acknowledgment of their question. Lack of computer experience was the only patient characteristic that decreased the odds of independent CAMCI completion. These results support the feasibility of using self-administered computerized cognitive tests with older primary care patients, given the increasing reliance on computers by people of all ages. The optimal cut-off score had a sensitivity of 80% and specificity of 74%.

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.

How infectious disease outbreaks affect community-based primary care physicians: comparing the SARS and H1N1 epidemics.

OBJECTIVE: To compare how the infectious disease outbreaks H1N1 and severe acute respiratory syndrome (SARS) affected community-based GPs and FPs. DESIGN: A mailed survey sent after the H1N1 outbreak compared with the results of similar survey completed after the SARS outbreak. SETTING: Greater Toronto area in Ontario. PARTICIPANTS: A total of 183 randomly selected GPs and FPs who provided office-based care. MAIN OUTCOME MEASURES: The perceptions of GPs and FPs on how serious infectious disease outbreaks affected their clinical work and personal lives; their preparedness for a serious infectious disease outbreak; and the types of information they want to receive and the sources they wanted to receive information from during a serious infectious disease outbreak. The responses from this survey were compared with the responses of GPs and FPs in the greater Toronto area who completed a similar survey in 2003 after the SARS outbreak. RESULTS: After the H1N1 outbreak, GPs and FPs still had substantial concerns about the effects of serious infectious disease outbreaks on the health of their family members. Physicians made changes to various office practices in order to manage and deal with patients with serious infectious diseases. They expressed concerns about the effects of an infectious disease on the provision of health care services. Also, physicians wanted to quickly receive accurate information from the provincial government and their medical associations. CONCLUSION: Serious community-based infectious diseases are a personal concern for GPs and FPs, and have considerable effects on their clinical practice. Further work examining the timely flow of relevant information through different health care sectors and government agencies still needs to be undertaken.

A qualitative descriptive study on the alignment of care goals between older persons with multi-morbidities, their family physicians and informal caregivers.

BACKGROUND: Goal setting is a recommended approach in clinical care that can help individuals with multi-morbidities and their caregivers manage chronic conditions. In this paper, the types of goals that were important for older persons with multi-morbidities were explored from the perspectives of patients, their caregivers and physicians. Comparisons of goals were made across each patient, caregiver and physician triad to determine alignment. METHODS: The study was a qualitative descriptive study facilitated through semi-structured one-on-one interviews. The study took place between May and October 2012 at a Family Health Team located in Ontario, Canada. The sample included 28 family medicine patients, their informal caregivers and family physicians. Socio-demographic data were analyzed via descriptive statistics in SPSS Version 17. Open ended questions pertaining to patient goals of care were analyzed thematically using NVivo9. Themes were derived on patient care goals for each of the participant groups (patients, caregivers and family physicians). Following this, alignment of goals across each of the triads was examined. Goal alignment was defined as concurrence on at least one goal by all three parties in a particular triad (i.e., patient, caregiver and family physician). RESULTS: Just over half of the patients were male (56%); they had an average age of 82.3 years and 4.61 health conditions. Most of the caregivers were female (82%); and 61% were a spouse of the care recipient. At the aggregate level, common goals expressed among patients, caregivers and family physicians were the maintenance of functional independence of patients and the management of their symptoms or functional challenges. Despite these common goals at the aggregate level, little alignment of goals was found when looking across patient-caregiver and physician triads. Lack of alignment tended to occur when patients had unstable or declining functional or cognitive health; when safety threats were noted; and when enhanced care services were required. CONCLUSIONS: The data suggest that goal divergence tends to occur when patients are less medically stable. While goal divergence may be expected due to the different roles and responsibilities of each of the players involved, these perspectives should be illuminated when building care plans. Further research is required to observe the extent to which goal setting occurs in family practice as well as how it can be embedded as a standard of practice.

Can Patients with Dementia Be Identified in Primary Care Electronic Medical Records Using Natural Language Processing?

Dementia and mild cognitive impairment can be underrecognized in primary care practice and research. Free-text fields in electronic medical records (EMRs) are a rich source of information which might support increased detection and enable a better understanding of populations at risk of dementia. We used natural language processing (NLP) to identify dementia-related features in EMRs and compared the performance of supervised machine learning models to classify patients with dementia. We assembled a cohort of primary care patients aged 66 + years in Ontario, Canada, from EMR notes collected until December 2016: 526 with dementia and 44,148 without dementia. We identified dementia-related features by applying published lists, clinician input, and NLP with word embeddings to free-text progress and consult notes and organized features into thematic groups. Using machine learning models, we compared the performance of features to detect dementia, overall and during time periods relative to dementia case ascertainment in health administrative databases. Over 900 dementia-related features were identified and grouped into eight themes (including symptoms, social, function, cognition). Using notes from all time periods, LASSO had the best performance (F1 score: 77.2%, sensitivity: 71.5%, specificity: 99.8%). Model performance was poor when notes written before case ascertainment were included (F1 score: 14.4%, sensitivity: 8.3%, specificity 99.9%) but improved as later notes were added. While similar models may eventually improve recognition of cognitive issues and dementia in primary care EMRs, our findings suggest that further research is needed to identify which additional EMR components might be useful to promote early detection of dementia. Supplementary Information: The online version contains supplementary material available at 10.1007/s41666-023-00125-6.

Assessing methods for measurement of clinical outcomes and quality of care in primary care practices.

PURPOSE: To evaluate the appropriateness of potential data sources for the population of performance indicators for primary care (PC) practices. METHODS: This project was a cross sectional study of 7 multidisciplinary primary care teams in Ontario, Canada. Practices were recruited and 5-7 physicians per practice agreed to participate in the study. Patients of participating physicians (20-30) were recruited sequentially as they presented to attend a visit. Data collection included patient, provider and practice surveys, chart abstraction and linkage to administrative data sets. Matched pairs analysis was used to examine the differences in the observed results for each indicator obtained using multiple data sources. RESULTS: Seven teams, 41 physicians, 94 associated staff and 998 patients were recruited. The survey response rate was 81% for patients, 93% for physicians and 83% for associated staff. Chart audits were successfully completed on all but 1 patient and linkage to administrative data was successful for all subjects. There were significant differences noted between the data collection methods for many measures. No single method of data collection was best for all outcomes. For most measures of technical quality of care chart audit was the most accurate method of data collection. Patient surveys were more accurate for immunizations, chronic disease advice/information dispensed, some general health promotion items and possibly for medication use. Administrative data appears useful for indicators including chronic disease diagnosis and osteoporosis/ breast screening. CONCLUSIONS: Multiple data collection methods are required for a comprehensive assessment of performance in primary care practices. The choice of which methods are best for any one particular study or quality improvement initiative requires careful consideration of the biases that each method might introduce into the results. In this study, both patients and providers were willing to participate in and consent to, the collection and linkage of information from multiple sources that would be required for such assessments.

Tracking family medicine graduates. Where do they go, what services do they provide and whom do they see?

BACKGROUND: There are continued concerns over an adequate supply of family physicians (FPs) practicing in Canada. While most resource planning has focused on intake into postgraduate education, less information is available on what postgraduate medical training yields. We therefore undertook a study of Family Medicine (FM) graduates from the University of Toronto (U of T) to determine the type of information for physician resource planning that may come from tracking FM graduates using health administrative data. This study compared three cohorts of FM graduates over a 10 year period of time and it also compared FM graduates to all Ontario practicing FPs in 2005/06. The objectives for tracking the three cohorts of FM graduates were to: 1) describe where FM graduates practice in the province 2) examine the impact of a policy introduced to influence the distribution of new FM graduates in the province 3) describe the services provided by FM graduates and 4) compare workload measures. The objectives for the comparison of FM graduates to all practicing FPs in 2005/06 were to: 1) describe the patient population served by FM graduates, 2) compare workload of FM graduates to all practicing FPs. METHODS: The study cohort consisted of all U of T FM postgraduate trainees who started and completed their training between 1993 and 2003. This study was a descriptive record linkage study whereby postgraduate information for FM graduates was linked to provincial health administrative data. Comprehensiveness of care indicators and workload measures based on administrative data where determined for the study cohort. RESULTS: From 1993 to 2003 there were 857 University of Toronto FM graduates. While the majority of U of T FM graduates practice in Toronto or the surrounding Greater Toronto Area, there are FM graduates from U of T practicing in every region in Ontario, Canada. The proportion of FM graduates undertaking further emergency training had doubled from 3.6% to 7.8%. From 1993 to 2003, a higher proportion of the most recent FM graduates did hospital visits, emergency room care and a lower proportion undertook home visits. Male FM graduates appear to have had higher workloads compared with female FM graduates, though the difference between them was decreasing over time. A 1997 policy initiative to discount fees paid to new FPs practicing in areas deemed over supplied did result in a decrease in the proportion of FM graduates practicing in metropolitan areas. CONCLUSIONS: We were able to profile the practices of FM graduates using existing and routinely collected population-based health administrative data. Further work tracking FM graduates could be helpful for physician resource forecasting and in examining the impact of policies on family medicine practice.

Office-based procedures among urban and rural family physicians in Ontario.

OBJECTIVE: To compare FP and GP performance of office-based procedures between urban and rural practices. DESIGN: Descriptive cohort study using health administrative data. SETTING: Ontario. PARTICIPANTS: All FPs and GPs who billed the Ontario Health Insurance Plan for at least 1 office-based procedure between January 1 and December 31, 2006 (N = 8648). MAIN OUTCOME MEASURES: Ontario Health Insurance Plan billings for office-based procedures were adjusted by full-time equivalent (FTE) so that the means are for 1 FTE. Office-based procedures were grouped into 1) surgical procedures, 2) injections and immunizations, 3) electrocardiograms (ECGs), and 4) venipunctures and laboratory tests. The analyses were stratified for FP and GP age, sex, rurality of practice, and participation in a primary care model. RESULTS: There were no substantial differences between FPs and GPs in rural practices compared with those in more urban practices with respect to surgical procedures. Rural FPs and GPs had lower mean numbers of injections and immunizations, ECGs, and venipunctures and laboratory tests than FPs and GPs practising in urban areas. Family physicians and GPs in primary care models had a lower mean number of surgical procedures but a higher adjusted mean number of injections and immunizations, ECGs, and venipunctures and laboratory tests. CONCLUSION: For those procedures that are not dependent on specialist backup or access to more advanced technology, there were no substantial differences between rural and urban FPs and GPs. All comprehensive FPs and GPs should be able to provide these services to their patients. Training programs for all family medicine residents should ensure future FPs and GPs are able to perform these procedures.

Visits to the emergency department by community-dwelling people with dementia during the first 2 waves of the COVID-19 pandemic in Ontario: a repeated cross-sectional analysis.

BACKGROUND: Community-dwelling people with dementia have been affected by COVID-19 pandemic health risks and control measures that resulted in worsened access to health care and service cancellation. One critical access point in health systems is the emergency department. We aimed to determine the change in weekly rates of visits to the emergency department of community-dwelling people with dementia in Ontario during the first 2 waves of the COVID-19 pandemic compared with historical patterns. METHODS: We conducted a population-based repeated cross-sectional study and used health administrative databases to compare rates of visits to the emergency department among community-dwelling people with dementia who were aged 40 years and older in Ontario during the first 2 waves of the COVID-19 pandemic (March 2020-February 2021) with the rates of a historical period (March 2019-February 2020). Weekly rates of visits to the emergency department were evaluated overall, by urgency and by chapter from the International Statistical Classification of Diseases and Related Health Problems, 10th Revision. We used Poisson models to compare pandemic and historical rates at the week of the lowest rate during the pandemic period and the latest week. RESULTS: We observed large immediate declines in rates of visits to the emergency department during the COVID-19 pandemic (rate ratio [RR] 0.50, 95% confidence interval [CI] 0.47-0.53), which remained below historical levels by the end of the second wave (RR 0.88, 95% CI 0.83-0.92). Rates of both nonurgent (RR 0.33, 95% CI 0.28-0.39) and urgent (RR 0.51, 95% CI 0.48-0.55) visits to the emergency department also declined and remained low (RR 0.68, 95% CI 0.59-0.79, RR 0.91, 95% CI 0.86-0.96), respectively. Visits for injuries, and circulatory, respiratory and musculoskeletal diseases declined and remained below historical levels. INTERPRETATION: Prolonged reductions in visits to the emergency department among people with dementia during the first 2 pandemic waves raise concerns about patients who delay seeking acute care services. Understanding the long-term effects of these reductions requires further research.

Trends in Health Service Use for Canadian Adults With Dementia and Parkinson Disease During the First Wave of the COVID-19 Pandemic.

Importance: Persons with dementia and Parkinson disease (PD) are vulnerable to disruptions in health care and services. Objective: To examine changes in health service use among community-dwelling persons with dementia, persons with PD, and older adults without neurodegenerative disease during the first wave of the COVID-19 pandemic. Design Setting and Participants: Repeated cross-sectional analysis using population-based administrative data among community-dwelling persons with dementia, persons with PD, and adults 65 years and older at the start of each week from March 1 through the week of September 20, 2020 (pandemic period), and March 3 through the week of September 22, 2019 (historical period), in Ontario, Canada. Exposures: COVID-19 pandemic as of March 1, 2020. Main Outcomes and Measures: Main outcomes were weekly rates of emergency department visits, hospitalizations, nursing home admissions, home care, virtual and in-person physician visits, and all-cause mortality. Poisson regression models were used to calculate weekly rate ratios (RRs) with 95% CIs comparing pandemic weeks with historical levels. Results: Among those living in the community as of March 1, 2020, persons with dementia (n = 131 466; mean [SD] age, 80.1 [10.1] years) were older than persons with PD (n = 30 606; 73.7 [10.2] years) and older adults (n = 2 363 742; 74.0 [7.1] years). While all services experienced declines, the largest drops occurred in nursing home admissions (RR for dementia: 0.10; 95% CI, 0.07-0.15; RR for PD: 0.03; 95% CI, 0.00-0.21; RR for older adults: 0.11; 95% CI, 0.06-0.18) and emergency department visits (RR for dementia: 0.45; 95% CI, 0.41-0.48; RR for PD: 0.40; 95% CI, 0.34-0.48; RR for older adults: 0.45; 95% CI, 0.44-0.47). After the first wave, most services returned to historical levels except physician visits, which remained elevated (RR for dementia: 1.07; 95% CI, 1.05-1.09; RR for PD: 1.10, 95% CI, 1.06-1.13) and shifted toward virtual visits. Older adults continued to experience lower hospitalizations. All-cause mortality was elevated across cohorts. Conclusions and Relevance: In this population-based repeated cross-sectional study in Ontario, Canada, those with dementia, those with PD, and older adults sought hospital care far less than usual, were not admitted to nursing homes, and experienced excess mortality during the first wave of the pandemic. Most services returned to historical levels, but virtual physician visits remained a feature of care. While issues of equity and quality of care are still emerging among persons with neurodegenerative diseases, policies to support virtual care are necessary.

Did changing primary care delivery models change performance? A population based study using health administrative data.

BACKGROUND: Primary care reform in Ontario, Canada started with the introduction of new enrollment models, the two largest of which are Family Health Networks (FHNs), a capitation-based model, and Family Health Groups (FHGs), a blended fee-for-service model. The purpose of this study was to evaluate differences in performance between FHNs and FHGs and to compare performance before and after physicians joined these new primary care groups. METHODS: This study used Ontario administrative claims data to compare performance measures in FHGs and FHNs. The study population included physicians who belonged to a FHN or FHG for at least two years. Patients were included in the analyses if they enrolled with a physician in the two years after the physician joined a FHN or FHG, and also if they saw the physician in a two year period prior to the physician joining a FHN or FHG. Performance was derived from the administrative data, and included measures of preventive screening for cancer (breast, cervical, colorectal) and chronic disease management (diabetes, heart failure, asthma). RESULTS: Performance measures did not vary consistently between models. In some cases, performance approached current benchmarks (Pap smears, mammograms). In other cases it was improving in relation to previous measures (colorectal cancer screening). There were no changes in screening for cervical cancer or breast cancer after joining either a FHN or FHG. Colorectal cancer screening increased in both FHNs and FHGs. After enrolling in either a FHG or a FHN, prescribing performance measures for diabetes care improved. However, annual eye examinations decreased for younger people with diabetes after joining a FHG or FHN. There were no changes in performance measures for heart failure management or asthma care after enrolling in either a FHG or FHN. CONCLUSIONS: Some improvements in preventive screening and diabetes management which were seen amongst people after they enrolled may be attributed to incentive payments offered to physicians within FHGs and FHNs. However, these primary care delivery models need to be compared with other delivery models and fee for service practices in order to describe more specifically what aspects of model delivery and incentives affect care.

Impact of the COVID-19 Pandemic on Home Care Services Among Community-Dwelling Adults With Dementia.

OBJECTIVE: To examine how the COVID-19 pandemic impacted use of home care services for individuals with dementia across service types and sociodemographic strata. DESIGN: Population-based time series analysis. SETTING AND PARTICIPANTS: Community-dwelling adults with dementia in Ontario, Canada, from January 2019 to September 2020. METHODS: We used health administrative databases (Ontario Registered Persons Database and Home Care Database) to measure home care services used by participants. Poisson regression models were fit to compare weekly rates of home care services during the pandemic to historical trends with rate ratios (RRs) and 95% confidence intervals (CIs) stratified by service type (nursing, personal care, therapy), sex, rurality, and neighborhood income quintile. RESULTS: During the first wave of the pandemic, personal care fell by 16% compared to historical levels (RR 0.84, 95% CI 0.84, 0.85) and therapies fell by 50% (RR 0.50, 95% CI 0.48, 0.52), whereas nursing did not significantly decline (RR 1.02, 95% CI 1.00, 1.04). All rates had recovered by September 2020, with nursing and therapies higher than historical levels. Changes in services were largely consistent across sociodemographic strata, although the rural population experienced a larger decline in personal care and smaller rebound in nursing. CONCLUSIONS AND IMPLICATIONS: Personal care and therapies for individuals with dementia were interrupted during the early months of the pandemic, whereas nursing was only minimally impacted. Pandemic responses with the potential to disrupt home care for individuals living with dementia must balance the impacts on individuals with dementia, caregivers, and providers.

Validation of canadian health administrative data algorithms for estimating trends in the incidence and prevalence of osteoarthritis.

Objective: To estimate the 1) accuracy of algorithms for identifying osteoarthritis (OA) using health administrative data; and 2) population-level OA prevalence and incidence over time in Ontario, Canada. Method: We performed a retrospective chart abstraction study to identify OA patients in a random sample of 7500 primary care patients from electronic medical records. The validation sample was linked with several administrative data sources. Accuracy of administrative data algorithms for identifying OA was tested against two reference standard definitions by estimating the sensitivity, specificity and predictive values. The validated algorithms were then applied to the Ontario population to estimate and compare population-level prevalence and incidence from 2000 to 2017. Results: OA prevalence within the validation sample ranged from 10% to 23% across the two reference standards. Algorithms varied in accuracy depending on the reference standard, with the sensitivity highest (77%) for patients with OA documented in medical problem lists. Using the top performing administrative data algorithms, the crude population-level OA prevalence ranged from 11% to 25% and standardized prevalence ranged from 9 to 22% in 2017. Over time, prevalence increased whereas incidence remained stable (~1% annually). Conclusion: Health administrative data have limited sensitivity in adequately identifying all OA patients and appear to be more sensitive at detecting OA patients for whom their physician formally documented their diagnosis in medical problem lists than individuals who have their diagnosis documented outside of problem lists. Irrespective of the algorithm used, OA prevalence has increased over the past decade while annual incidence has been stable.

The impact of rural residence on medically serious medicinal self-poisonings.

OBJECTIVE: Suicide rates are often high in rural areas. Despite the strong association between deliberate self-harm (DSH) and suicide, few have studied rural residence and DSH. Self-poisonings dominate DSH hospital presentations. We investigate a previously reported association between rural residence and medical severity (defined as a subsequent medical/surgical inpatient stay) among emergency department presentations for medicinal self-poisoning (SP) to determine whether differences in agents taken, mental health service use or hospital-level resources explain the relationship. METHOD: A cohort of n=16,294 12-64-year olds presenting with SP to hospital emergency departments in Ontario, Canada, in 2001/2002 was linked to their service records over time. RESULTS: The rural-medical severity association was best explained by differences in hospital resources; presenting to hospitals providing inpatient psychiatric services appeared to reduce medical/surgical inpatient stays in favor of psychiatric ones. Among those with a recent psychiatric admission, more intensive ambulatory psychiatric contact may be protective of a psychiatric inpatient stay subsequent to the SP presentation. Compared to nonrural residents, deliberate intent was identified less often in rural residents, particularly males. CONCLUSIONS: The rural-medical severity association was best explained by disparities in the delivery systems serving rural and nonrural residents, important to rural suicide prevention efforts.

Age-sex differences in medicinal self-poisonings: a population-based study of deliberate intent and medical severity.

BACKGROUND: Deliberate self-harm (DSH) is related to suicide and DSH repetition is common. DSH hospital presentations are often self-poisonings with medicinal agents. While older age and male sex are known risk factors for suicide, it is unclear how these factors are related to the nature and severity of medicinal self-poisoning (SP). Such knowledge can guide prevention strategies emphasizing detecting and treating mental illness and controlling access to means. METHODS: Medicinal SP presentations by 18,383 residents of Ontario, Canada, aged 12 years and older, who presented to a hospital emergency department in that province between April 1, 2001-March 31, 2002 were characterized by the agents taken, identification of deliberate intent and medical severity. RESULTS: We found distinct age-sex differences in the nature and severity of medicinal SP. In youths, aged 12-17, about 40% of presentations involved analgesics, typically not prescribed and most often the acetaminophen agent-group. Females aged 12-64 were identified as deliberate more often than their male counterparts and this pattern occurred in most agent-groups, even among those who took antidepressants. The acetaminophen agent-group was most consistently associated with medical severity and this effect was strongest among female youths. Although medicinal SP was less frequent in the elderly, these presentations tended to be more medically serious and less often identified deliberate. CONCLUSIONS: The high proportion of medicinal SP in youths involving agents typically not prescribed and the medical severity of the acetaminophen agent-group underscore how prevention strategies must extend beyond controlling access to antidepressants. Despite a higher risk for suicide, males and the elderly may not have their deliberate intent detected and therefore, may not receive appropriate treatment. The emergency department can serve as important link to mental health care and usage patterns can provide feedback about the need for system-level enhancements and DSH surveillance.

Improving Care for Patients With or at Risk for Chronic Kidney Disease Using Electronic Medical Record Interventions: A Pragmatic Cluster-Randomized Trial Protocol.

BACKGROUND: Many patients with or at risk for chronic kidney disease (CKD) in the primary care setting are not receiving recommended care. OBJECTIVE: The objective of this study is to determine whether a multifaceted, low-cost intervention compared with usual care improves the care of patients with or at risk for CKD in the primary care setting. DESIGN: A pragmatic cluster-randomized trial, with an embedded qualitative process evaluation, will be conducted. SETTING: The study population comes from the Electronic Medical Record Administrative data Linked Database®, which includes clinical data for more than 140 000 rostered adults cared for by 194 family physicians in 34 clinics across Ontario, Canada. The 34 primary care clinics will be randomized to the intervention or control group. INTERVENTION: The intervention group will receive resources from the "CKD toolkit" to help improve care including practice audit and feedback, printed educational materials for physicians and patients, electronic decision support and reminders, and implementation support. MEASUREMENTS: Patients with or at risk for CKD within participating clinics will be identified using laboratory data in the electronic medical records. Outcomes will be assessed after dissemination of the CKD tools and after 2 rounds of feedback on performance on quality indicators have been sent to the physicians using information from the electronic medical records. The primary outcome is the proportion of patients aged 50 to 80 years with nondialysis-dependent CKD who are on a statin. Secondary outcomes include process of care measures such as screening tests, CKD recognition, monitoring tests, angiotensin-converting enzyme inhibitor or angiotensin receptor blocker prescriptions, blood pressure targets met, and nephrologist referral. Hierarchical analytic modeling will be performed to account for clustering. Semistructured interviews will be conducted with a random purposeful sample of physicians in the intervention group to understand why the intervention achieved the observed effects. CONCLUSIONS: If our intervention improves care, then the CKD toolkit can be adapted and scaled for use in other primary care clinics which use electronic medical records. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02274298.

CONTEXTE: On observe que de nombreux patients atteints ou à risque de développer de l'insuffisance rénale chronique (IRC) ne reçoivent pas les soins recommandés dans le cadre des soins de première ligne. OBJECTIF: L'étude vise à déterminer si le recours à une intervention multidimensionnelle et moins coûteuse par rapport aux soins habituellement dispensés améliore les soins prodigués aux patients atteints ou susceptibles de développer de l'IRC dans le cadre des soins primaires. MODÈLE D'ÉTUDE: Il s'agit d'un essai pragmatique randomisé par grappes, auquel on a incorporé une évaluation qualitative. CADRE DE L'ÉTUDE: La population étudiée provient de la base de données EMRALD® (Electronic Medical Record Administrative data Linked Database), qui inclut les données cliniques de plus de 140 000 adultes inscrits soignés par 194 médecins de famille répartis dans 34 cliniques partout en Ontario. Les 34 cliniques de soins de santé de première ligne seront randomisées aléatoirement dans le groupe contrôle ou le groupe d'intervention. GROUPE D'INTERVENTION: Les participants du groupe d'intervention recevront des ressources provenant d'une « boîte d'outils IRC ¼ visant à améliorer les soins. Ce guide comprendra notamment un audit de la pratique et de la rétroaction, du matériel didactique imprimé destiné aux médecins et aux patients, des outils électroniques d'aide à la décision, des rappels par voie électronique ainsi que du soutien à la mise en œuvre. MESURES: Les patients atteints ou à risque de développer de l'IRC au sein des cliniques participantes seront sélectionnés à l'aide des données de laboratoire inscrites dans les dossiers médicaux électroniques. Les résultats seront évalués après la distribution des « boîtes d'outils IRC ¼ et deux rondes de rétroaction sur le rendement des indicateurs de qualité qui auront été envoyés aux médecins à l'aide des informations contenues dans les dossiers médicaux électroniques. Le résultat principal attendu sera une différence entre les deux groupes dans la proportion de patients âgés de 50 à 80 ans atteints d'IRC, non dépendants de la dialyse, et sous traitement par une statine. Les résultats secondaires comprendront les processus de mesure des soins tels que les tests de dépistage, la constatation de l'IRC, les tests de contrôle, une ordonnance d'un inhibiteur de l'enzyme de conversion de l'angiotensine ou d'un antagoniste du récepteur de l'angiotensine, la rencontre d'une valeur cible de tension artérielle, et le référencement pour un suivi par un néphrologue. La modélisation analytique hiérarchique sera effectuée en prenant compte de la randomisation. Des entretiens semi-directifs seront menés auprès d'un échantillon aléatoire ciblé de médecins du groupe d'intervention afin de comprendre pourquoi l'intervention a permis d'atteindre les effets observés. CONCLUSIONS: Si notre modèle d'intervention parvient à améliorer les soins, la « boîte d'outils IRC ¼ pourra être adaptée et échelonnée en vue d'une utilisation dans d'autres cliniques de soins de première ligne qui utilisent des dossiers médicaux électroniques. ENREGISTREMENT DES ESSAIS: Identifiant ClinicalTrials.gov: NCT02274298.

Depression and mental health visits to physicians--a prospective records-based study.

Previous studies of access to care for depression have been based on cross-sectional surveys of self-reported use of mental health service use. As the recall of use may be differentially biased by mood states, inferences about how well persons with depression are accessing services in comparison to other groups may be misleading. Accordingly, we estimated the magnitude of the depression-use associations in relation to key covariates based on prospective records of mental health visits to physicians. The sample, N = 23,063, of persons 12 years and older, was drawn from the 1996/97 Ontario Health Survey and linked to their administrative mental health care records 24 months forward in time. We found that depression-use associations were in the expected direction but similar in magnitude to associations for gender and education unlike previous self-reported use surveys. Female gender was positively related to the use of a primary care physician but negatively related to seeing a psychiatrist as opposed to a primary care physician. Those who had attained higher levels of education were more likely to be seen by physicians than those with lower education levels. The meaning behind these findings bears further study as it may have implications for primary care reform and the design of future studies of access.