Babak Aliarzadeh

Prevalence and Epidemiology of Diabetes in Canadian Primary Care Practices: A Report from the Canadian Primary Care Sentinel Surveillance Network

OBJECTIVE The Canadian Primary Care Sentinel Surveillance Network (CPCSSN) is a large, validated national primary care Electronic Medical Records (EMR)-based database. Our objective was to describe the epidemiology of diabetes in this Canadian sample. METHODS We analyzed the records of 272 469 patients10 years of age and older, with at least 1 primary care clinical encounter between January 1, 2011, and December 31, 2012. We calculated the age-gender standardized prevalence of diabetes. We compared health care utilization and comorbidities for 7 selected chronic conditions in patients with and without diabetes. We also examined patterns of medication usage. RESULTS The estimated population prevalence of diabetes was 7.6%. Specifically, we studied 25 425 people with diabetes who had at least 1 primary care encounter in 2 years. On average, patients with diabetes had 1.42 times as many practice encounters as patients without diabetes (95% CI 1.42 to 1.43, p<0.0001). Patients with diabetes had 1.29 times as many other comorbid conditions as those without diabetes (95% CI 1.27 to 1.31, p<0.0001). We found that 85.2% of patients taking hypoglycemic medications were taking metformin, and 51.8% were taking 2 or more classes of medications. CONCLUSIONS This study is the first national Canadian report describing the epidemiology of diabetes using primary care EMR-based data. We found significantly higher rates of primary care use, and greater numbers of comorbidities in patients with diabetes. Most patients were on first-line hypoglycemic medications. Data routinely recorded in EMRs can be used for surveillance of chronic diseases such as diabetes in Canada. These results can enable comparisons with other national EMR-based datasets.

Association between neighbourhood walkability and metabolic risk factors influenced by physical activity: a cross-sectional study of adults in Toronto, Canada

Objective To determine whether neighbourhood walkability is associated with clinical measures of obesity, hypertension, diabetes and dyslipidaemia in an urban adult population. Design Observational cross-sectional study. Setting Urban primary care patients. Participants 78 023 Toronto residents, aged 18 years and over, who were formally rostered or had at least 2 visits between 2012 and 2014 with a primary care physician participating in the University of Toronto Practice Based Research Network (UTOPIAN), within the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). Main outcome measures Differences in average body mass index (BMI), systolic and diastolic blood pressure, fasting blood glucose, haemoglobin A1c (HbA1C), total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein and triglyceride between residents in the highest versus the lowest quartile of neighbourhood walkability, as estimated using multivariable linear regression models and stratified by age. Outcomes were objectively measured and were retrieved from primary care electronic medical records. Models adjusted for age, sex, smoking, medications, medical comorbidities and indices of neighbourhood safety and marginalisation. Results Compared with those in the lowest walkability quartile, individuals in the highest quartile had lower mean BMI (−2.64 kg/m2, 95% CI −2.98 to −2.30; p<0.001), systolic blood pressure (−1.35 mm Hg, 95% CI −2.01 to −0.70; p<0.001), diastolic blood pressure (−0.60 mm Hg, 95% CI 1.06 to −0.14; p=0.010) and HbA1c (−0.063%, 95% CI −0.11 to −0.021; p=0.003) and higher mean HDL (0.052 mmol/L, 95% CI 0.029 to 0.075; p<0.001). In age-stratified analyses, differences in the mean BMI were consistently observed for adults aged 18 to under 40 (−4.44 kg/m2, 95% CI −5.09 to −3.79; p<0.001), adults aged 40–65 (−2.74 kg/m2, 95% CI −3.24 to −2.23; p<0.001) and adults aged over 65 (−0.87 kg/m2, 95% CI −1.48 to −0.26; p=0.005). Conclusions There was a clinically meaningful association between living in the most walkable neighbourhoods and having lower BMI in adults of all ages.

Diabetes screening with hemoglobin A1c prior to a change in guideline recommendations: prevalence and patient characteristics

BackgroundIn January 2010, the American Diabetes Association recommended the use of hemoglobin A1c (Hgb A1c) to screen and diagnose diabetes. This study explored the prevalence and clinical context of Hgb A1c tests done for non-diabetic primary care patients for the three years prior to the release of the new guidelines. We sought to determine the provision of tests in non-diabetic patients age 19 or over, patients age 45 and over (eligible for routine diabetes screening), the annual change in the rate of this screening test, and the patient characteristics associated with the provision of Hgb A1c screening.MethodsWe conducted a retrospective study using data routinely collected in Electronic Medical Records. The participants were thirteen community-based family physicians in Toronto, Ontario. We calculated the proportion of non diabetic patients who had at least one Hbg A1c done in three years. We used logistic generalized estimating equation with year treated as a continuous variable to test for a non-zero slope in yearly Hbg A1c provision. We modelled screening using multivariable logistic regression.ResultsThere were 11,792 non-diabetic adults. Of these, 1,678 (14.2%; 95%CI 13.6%-14.9%) had at least one Hgb A1c test done; this was higher for patients 45 years of age or older (20.2%; 95% CI 19.3% - 21.2%). The proportion of non-diabetic patients with an A1c test increased from 5.2% in 2007 to 8.8% in 2009 (p < 0.0001 for presence of slope). Factors associated with significantly greater adjusted odds ratios of having the test done included increasing diastolic blood pressure, increasing fasting glucose, increasing body mass index, increasing age, as well as male gender and presence of hypertension, but not smoking status or LDL cholesterol. Patients living in the highest income quintile neighbourhoods had significantly lower odds ratios of having this test done than those in the lowest quintile (p < 0.001).ConclusionsA large and increasing proportion of the non-diabetic patients we studied have had an Hgb A1c for screening prior to guidelines recommending the test for this purpose. Several risk factors for cardiovascular disease or diabetes were associated with the provision of the Hgb A1c. Early uptake of the test may represent appropriate utilization.

Are We Asking Patients if They Smoke?: Missing Information on Tobacco Use in Canadian Electronic Medical Records.

INTRODUCTION All adolescent and adult patients should be asked if they smoke. Data entered in electronic medical records offer new opportunities to study tobacco-related clinical activities. The purpose of this study is to examine the recording of tobacco use in Canadian electronic medical records. METHODS Data were collected on September 30, 2013, and analyzed in 2014. Data on 249,223 patients that were aged ≥16 years as of September 30, 2013 and had at least one primary care encounter in the previous 2 years were included. The proportion of patients with information on tobacco use entered in a summative health profile was calculated. Associations between data gaps and patient or physician factors were examined. RESULTS Information on tobacco use was available for 64.4% of patients. Physicians using an electronic medical record for ≥4 years were more likely to have data (AOR=4.57, 95% CI=1.84, 7.29, p<0.0001). Patients aged ≥30 years were more likely to have tobacco information present (AOR=2.92, 95% CI=2.82, 3.02, p<0.0001, for patients aged 30-59 compared to those aged <30 years), as were patients with any comorbidities (AOR=1.41, 95% CI=1.36, 1.45, p<0.0001, for patients with one or two comorbidities compared with none) or more visits. CONCLUSIONS A third of Canadians in this sample lacked data on tobacco in their electronic medical record. Younger, healthier people were less likely to have information about their smoking status. Efforts to improve the recording of tobacco-related information in electronic medical records, especially for younger patients, are needed.

Association between socio-economic status and hemoglobin A1c levels in a Canadian primary care adult population without diabetes

BackgroundHgb A1c levels may be higher in persons without diabetes of lower socio-economic status (SES) but evidence about this association is limited; there is therefore uncertainty about the inclusion of SES in clinical decision support tools informing the provision and frequency of Hgb A1c tests to screen for diabetes. We studied the association between neighborhood-level SES and Hgb A1c in a primary care population without diabetes.MethodsThis is a retrospective study using data routinely collected in the electronic medical records (EMRs) of forty six community-based family physicians in Toronto, Ontario. We analysed records from 4,870 patients without diabetes, age 45 and over, with at least one clinical encounter between January 1st 2009 and December 31st 2011 and one or more Hgb A1c report present in their chart during that time interval. Residential postal codes were used to assign neighborhood deprivation indices and income levels by quintiles. Covariates included elements known to be associated with an increase in the risk of incident diabetes: age, gender, family history of diabetes, body mass index, blood pressure, LDL cholesterol, HDL cholesterol, triglycerides, and fasting blood glucose.ResultsThe difference in mean Hgb A1c between highest and lowest income quintiles was -0.04% (p = 0.005, 95% CI -0.07% to -0.01%), and between least deprived and most deprived was -0.05% (p = 0.003, 95% CI -0.09% to -0.02%) for material deprivation and 0.02% (p = 0.2, 95% CI -0.06% to 0.01%) for social deprivation. After adjustment for covariates, a marginally statistically significant difference in Hgb A1c between highest and lowest SES quintile (p = 0.04) remained in the material deprivation model, but not in the other models.ConclusionsWe found a small inverse relationship between Hgb A1c and the material aspects of SES; this was largely attenuated once we adjusted for diabetes risk factors, indicating that an independent contribution of SES to increasing Hgb A1c may be limited. This study does not support the inclusion of SES in clinical decision support tools that inform the use of Hgb A1c for diabetes screening.

Hypertension screening and follow-up in children and adolescents in a Canadian primary care population sample: a retrospective cohort study

BACKGROUND Uncertainty exists about the need to screen for hypertension in children and adolescents. Information on current screening and follow-up rates in Canadian community practices is not available. There are no Canadian guidelines on the subject. We sought to identify current rates of pediatric hypertension screening and follow-up in Canada. In addition, we examined patient and provider characteristics associated with rates of blood pressure screening. METHODS We used electronic medical record data extracted on Apr. 1, 2013, from 79 family practices in Toronto. We identified children seen at least twice between the ages of 3 and 18 years, with at least 6 months between first and last encounter. We used Multivariate Poisson regression analysis to analyze variation in blood pressure measurement rates and associations with patient and physician factors. RESULTS We identified 5996 children (62% of 9667 in total) who had at least 1 blood pressure measurement recorded. Of these children, 14% had at least 1 abnormal blood pressure measurement, and of those children, only 5% had a follow-up measurement recorded within 6 months. After adjustment, increases in rates of blood pressure measurements were associated with greater number of encounters (rate ratio [RR] = 1.03, 95% confidence interval [CI] 1.02-1.04, p < 0.001), older age at first encounter (RR = 1.06, 95% CI 1.03-1.10, p = 0.002), and female sex (RR = 1.12, 95% CI 1.03-1.20, p = 0.006). Obesity or a recorded family history of hypertension were not associated with more blood pressure measurements. Female physicians recorded more blood pressure measurements than did male physicians (RR = 1.41, 95% CI 1.04-1.89, p = 0.02). INTERPRETATION This screening measure was frequently done and appeared to be incompletely followed up. Clear guidance is needed; guideline developers should consider reviewing this topic.

Agreement between hospital and primary care on diagnostic labeling for COPD and heart failure in Toronto, Canada: a cross-sectional observational study

Patients with chronic obstructive pulmonary disease (COPD) or heart failure (HF) are frequently cared for in hospital and in primary care settings. We studied labeling agreement for COPD and HF for patients seen in both settings in Toronto, Canada. This was a retrospective observational study using linked hospital-primary care electronic data from 70 family physicians. Patients were 20 years of age or more and had at least one visit in both settings between 1 January 2012 and 31 December 2014. We recorded labeling concordance and associations with clinical factors. We used capture-recapture models to estimate the size of the populations. COPD concordance was 34%; the odds ratios (ORs) of concordance increased with aging (OR 1.84 for age 75+ vs. <65, 95% CI 0.92–3.69) and more inpatient admissions (OR 2.89 for 3+ visits vs. 0 visits, 95% CI 1.59–5.26). HF concordance was 33%; the ORs of concordance decreased with aging (OR 0.39 for 75+ vs. <65, 95% CI 0.18–0.86) and increased with more admissions (OR = 2.39; 95% CI 1.33–4.30 for 3+ visits vs. 0 visits). Based on capture-recapture models, 21–24% additional patients with COPD and 18–20% additional patients with HF did not have a label in either setting. The primary care prevalence was estimated as 748 COPD patients and 834 HF patients per 100,000 enrolled adult patients. Agreement levels for COPD and HF were low and labeling was incomplete. Further research is needed to improve labeling for these conditions.Diagnostic labeling: accuracy needed for serious health conditionsImproving diagnostic labeling across healthcare providers would help develop a more robust database to improve care and inform research. Patient diagnoses for serious conditions, such as heart failure (HF) and chronic obstructive pulmonary disease (COPD), should be documented across care providers, regardless of whether a patient is seen in hospital or local surgery. Consistent labeling of patient charts across providers improves patient services and informs research into clinical practice. Michelle Greiver at North York General Hospital in Toronto, Canada, and co-workers uncovered significant disagreement between a Toronto hospital and its associated primary care providers on labeling of patients with HF or COPD, with the two settings agreeing on labels for a third of patients. Around one fifth of patients had no diagnostic label in either setting, despite suffering from one or other condition.

Would you like to add a weight after this blood pressure, doctor? Discovery of potentially actionable associations between the provision of multiple screens in primary care

Abstract Rationale, aims, and objective Guidelines recommend screening for risk factors associated with chronic diseases but current electronic prompts have limited effects. Our objective was to discover and rank associations between the presence of screens to plan more efficient prompts in primary care. Methods Risk factors with the greatest impact on chronic diseases are associated with blood pressure, body mass index, waist circumference, glycaemic and lipid levels, smoking, alcohol use, diet, and exercise. We looked for associations between the presence of screens for these in electronic medical records. We used association rule mining to describe relationships among items, factor analysis to find latent categories, and Cronbach α to quantify consistency within latent categories. Results Data from 92 140 patients in or around Toronto, Ontario, were included. We found positive correlations (lift >1) between the presence of all screens. The presence of any screen was associated with confidence greater than 80% that other data on items with high prevalence (blood pressure, glycaemic and lipid levels, or smoking) would also be present. A cluster of rules predicting the presence of blood pressure were ranked highest using measures of interestingness such as standardized lift. We found 3 latent categories using factor analysis; these were laboratory tests, vital signs, and lifestyle factors; Cronbach α ranged between .58 for lifestyle factors and .88 for laboratory tests. Conclusions Associations between the provision of important screens can be discovered and ranked. Rules with promising combinations of associated screens could be used to implement data driven alerts.

Is glycemia control in Canadians with diabetes individualized? A cross-sectional observational study

Objective Diabetes guidelines recommend individualized glycemic targets: tighter control in younger, healthier patients and consideration of more moderate control in the elderly and those with coexisting illnesses. Our objective was to examine whether glycemic control varied by age and comorbidities in Canadian primary care. Research design and methods Cross-sectional study using data from the electronic medical records of 537 primary care providers across Canada; 30 416 patients with diabetes, aged 40 or above, with at least one encounter and one hemoglobin A1c (HbA1c) measurement between 1 January 2012 and 31 December 2013. The outcome was the most recent HbA1c, categorized into three levels of control: tight (<7.0% or <53 mmol/mol), moderate (7.0%–8.5%, 53 mmol/mol–69.5 mmol/mol) and uncontrolled (>8.5% or >69.5 mmol/mol). We adjusted for several factors associated with glycemic control including treatment intensity. Results Younger patients (aged 40–49) were more likely to have moderate as opposed to tight control than the older patients (aged 80+) (OR 1.28; 95% CI 1.11 to 1.49, p=0.001). The youngest were also more likely to have uncontrolled as opposed to moderately controlled glycemia (OR 3.39; 95% CI 2.75 to 4.17, p<0.0001). Patients with no or only one comorbidity were more likely to have moderate as opposed to tight control than those with three or more comorbidities (OR 1.66;95% CI 1.46 to 1.90, p<0.0001). Conclusions Levels of glycemic control, given age and comorbidities appear to differ from guideline recommendations. Research is needed to understand these discrepancies and develop methods to assist providers in personalizing glycemic targets.

Implementation of data management and effect on chronic disease coding in a primary care organisation: A parallel cohort observational study

Background Consistent and standardized coding for chronic conditions is associated with better care; however, coding may currently be limited in electronic medical records (EMRs) used in Canadian primary care. Objectives To implement data management activities in a community-based primary care organisation and to evaluate the effects on coding for chronic conditions. Methods Fifty-nine family physicians in Toronto, Ontario, belonging to a single primary care organisation, participated in the study. The organisation implemented a central analytical data repository containing their EMR data extracted, cleaned, standardized and returned by the Canadian Primary Care Sentinel Surveillance Network (CPCSSN), a large validated primary care EMR-based database. They used reporting software provided by CPCSSN to identify selected chronic conditions and standardized codes were then added back to the EMR. We studied four chronic conditions (diabetes, hypertension, chronic obstructive pulmonary disease and dementia). We compared changes in coding over six months for physicians in the organisation with changes for 315 primary care physicians participating in CPCSSN across Canada. Results Chronic disease coding within the organisation increased significantly more than in other primary care sites. The adjusted difference in the increase of coding was 7.7% (95% confidence interval 7.1%–8.2%, p < 0.01). The use of standard codes, consisting of the most common diagnostic codes for each condition in the CPCSSN database, increased by 8.9% more (95% CI 8.3%–9.5%, p < 0.01). Conclusions Data management activities were associated with an increase in standardized coding for chronic conditions. Exploring requirements to scale and spread this approach in Canadian primary care organisations may be worthwhile.