Search

Introduction: The transition from pediatric to adult care poses challenges for adolescents and young adults (AYA) with chronic conditions and their caregivers. A patient navigator (PN) intervention may mitigate transition-related barriers. Methods: A qualitative study was conducted within a pragmatic randomized controlled trial. A purposive sample was recruited of AYA with diverse diagnostic and demographic characteristics who worked with the PN and/or their caregivers. Seventeen participants completed semi-structured interviews at baseline and post-intervention and optional journal entries. Thematic analysis was used inductively. Results: Analysis yielded two themes from baseline interviews: 1) uncertainty and hesitation with leaving a place of support, 2) navigator assistance with post-secondary education, and three themes from post-intervention interviews: 1) emotional support, 2) informational and task-focused support, 3) navigator guidance to become more independent. Discussion: Our findings describe the needs of AYA and the experience of PN support; our findings may guide future implementation of PNs in transition care.

Indigenous People in Canada possess rich cultural traditions, intertwined with a strong connection to nature. However, colonisation and contemporary challenges have given rise to changes in lifestyle and culture, resulting in health and nutrition disparities within these communities. The goal of this review was to explore the available literature of existing Indigenous nutrition programs for adults in Canada. Arksey and O’Malley’s scoping review protocol was used to conduct the search between July 2020 and February 2023. Articles were obtained from MEDLINE (Ovid), PsycInfo, Embase (Ovid), CINAHL (EBSCO), Web of Science, Scopus (Elsevier), Canadian Business and Current Affairs (Proquest), and Google Scholar. We identified 24 publications, with 19 being unique interventions. Common themes among programs included integrating traditional foods and cultural values, adapted programming to local needs, empowering community members, using a multidisciplinary collaboration, and leveraging social activities, all of which highlight the need for holistic strategies amid complex historical, social, and environmental factors. Overall, this review emphasises the need for continued support and development of Indigenous-led nutritional initiatives to promote health and well-being among Indigenous adults in Canada. Ensuring culturally relevant and sustainable solutions is crucial for addressing nutritional health disparities and fostering long-term positive outcomes.

Abstract Background Cancer and chronic diseases are a major cost to the healthcare system and multidisciplinary models with access to prevention and screening resources have demonstrated improvements in chronic disease management and prevention. Research demonstrated that a trained Prevention Practitioner (PP) in multidisciplinary team settings can improve achievement of patient level prevention and screening actions seven months after the intervention. Methods We tested the effectiveness of the PP intervention in a pragmatic two-arm cluster randomized controlled trial. Patients aged 40–65 were randomized at the physician level to an intervention group or to a wait-list control group. The intervention consisted of a patient visit with a PP. The PP received training in prevention and screening and use of the BETTER WISE tool kit. The effectiveness of the intervention was assessed using a composite outcome of the proportion of the eligible prevention and screening actions achieved between intervention and control groups at 12-months. Results Fifty-nine physicians were recruited in Alberta, Ontario, and Newfoundland and Labrador. Of the 1,005 patients enrolled, 733 (72.9%) completed the 12-month analysis. The COVID-19 pandemic occurred during the study time frame at which time nonessential prevention and screening services were not available and in-person visits with the PP were not allowed. Many patients and sites did not receive the intervention as planned. The mean composite score was not significantly higher in patients receiving the PP intervention as compared to the control group. To understand the impact of COVID on the project, we also considered a subset of patients who had received the intervention and who attended the 12-month follow-up visit before COVID-19. This assessment demonstrated the effectiveness of the BETTER visits, similar to the findings in previous BETTER studies. Conclusions We did not observe an improvement in cancer and chronic disease prevention and screening (CCDPS) outcomes at 12 months after a BETTER WISE prevention visit: due to the COVID-19 pandemic, the study was not implemented as planned. Though benefits were described in those who received the intervention before COVID-19, the sample size was too small to make conclusions. This study may be a harbinger of a substantial decrease and delay in CCDPS activities under COVID restrictions. Trial registration ISRCTN21333761. Registered on 19/12/2016. http://www.isrctn.com/ISRCTN21333761 .

Abstract Introduction People with chronic medical conditions often take medications that improve long‐term outcomes but which can be harmful during acute illness. Guidelines recommend that healthcare providers offer instructions to temporarily stop these medications when patients are sick (i.e., sick days). We describe the experiences of patients managing sick days and of healthcare providers providing sick day guidance to their patients. Methods We undertook a qualitative descriptive study. We purposively sampled patients and healthcare providers from across Canada. Adult patients were eligible if they took at least two medications for diabetes, heart disease, high blood pressure and/or kidney disease. Healthcare providers were eligible if they were practising in a community setting with at least 1 year of experience. Data were collected using virtual focus groups and individual phone interviews conducted in English. Team members analyzed transcripts using conventional content analysis. Results We interviewed 48 participants (20 patients and 28 healthcare providers). Most patients were between 50 and 64 years of age and identified their health status as ‘good’. Most healthcare providers were between 45 and 54 years of age and the majority practised as pharmacists in urban areas. We identified three overarching themes that summarize the experiences of patients and healthcare providers, largely suggesting a broad spectrum in approaches to managing sick days: Individualized Communication, Tailored Sick Day Practices, and Variation in Knowledge of Sick Day Practices and Relevant Resources. Conclusion It is important to understand the perspectives of both patients and healthcare providers with respect to the management of sick days. This understanding can be used to improve care and outcomes for people living with chronic conditions during sick days. Patient or Public Contribution Two patient partners were involved from proposal development to the dissemination of our findings, including manuscript development. Both patient partners took part in team meetings and contributed to team decision‐making. Patient partners also participated in data analysis by reviewing codes and theme development. Furthermore, patients living with various chronic conditions and healthcare providers participated in focus groups and individual interviews.

Abstract Globally, Indigenous populations have been impacted by colonization. Populations who have endured colonization are at higher risk of developing chronic diseases. Canada’s Truth and Reconciliation Commission emphasizes reducing barriers to participation in physical activity and recommends the creation of culturally relevant and supportive policies and programing. Physical activity is a cornerstone in health promotion and public health to combat chronic diseases; however, in Canada, Indigenous developed physical activity programing is sparse, and those targeting women are non-existent in some regions. Makoyoh'sokoi (The Wolf Trail Program) is an 18-week long, holistic wellness program that was created by and for Indigenous women. Makoyoh'sokoi was developed by communities following extensive consultation and cultural oversight. Makoyoh'sokoi’s core program consists of 12 weeks of weekly physical activity programing and health education, followed by another 6 weeks of weekly health education. Notably, communities have control over the program to modify based on individual needs and challenges. Programs commence and conclude with a ceremony with Elders giving a blessing and opening each other to connection. The goals of Makoyoh'sokoi are to empower women, improve health outcomes, and to implement a sustainable program by training a network of community members in their respective communities to facilitate delivery.

Objective Building on Existing Tools To improvE chronic disease pRevention and screening in primary care Wellness of cancer survIvorS and patiEnts (BETTER WISE) was designed to assess the effectiveness of a cancer and chronic disease prevention and screening (CCDPS) programme. Here, we compare outcomes in participants living with and without financial difficulty.Design Secondary analysis of a cluster-randomised controlled trial.Setting Patients of 59 physicians from 13 clinics enrolled between September 2018 and August 2019.Participants 596 of 1005 trial participants who responded to a financial difficulty screening question at enrolment.Intervention 1-hour CCDPS visit versus usual care.Outcome measures Eligibility for a possible 24 CCDPS actions was assessed at baseline and the primary outcome was the percentage of eligible items that were completed at 12-month follow-up. We also compared the change in response to the financial difficulty screening question between baseline and follow-up.Results 55 of 265 participants (20.7%) in the control group and 69 of 331 participants (20.8%) in the intervention group reported living with financial difficulty. The primary outcome was 29% (95% CI 26% to 33%) for intervention and 23% (95% CI 21% to 26%) for control participants without financial difficulty (p=0.01). Intervention and control participants with financial difficulty scored 28% (95% CI 24% to 32%) and 32% (95% CI 27% to 38%), respectively (p=0.14). In participants who responded to the financial difficulty question at both time points (n=302), there was a net decrease in the percentage of participants who reported financial difficulty between baseline (21%) and follow-up (12%, p

Background: Acute kidney injury (AKI) is a common complication among hospitalized patients with long-term implications including chronic kidney disease (CKD). Although models are available to predict the risk of advanced CKD after AKI, there is limited evidence regarding follow-up for patients with AKI after hospital discharge, resulting in variable follow-up care. A risk-stratified follow-up approach may improve appropriateness and efficiency of management for CKD among patients at risk of declining kidney function following AKI. Objective: The objective was to compare and evaluate the use of a risk-stratified approach to follow-up care vs usual care for patients with AKI after hospital discharge. Design: This study was a pragmatic randomized controlled trial. Setting: This study was conducted in 2 large urban hospitals in Alberta, Canada. Patients: Hospitalized patients with AKI (KDIGO stage 2 or 3) not previously under the care of a nephrologist, expected to survive greater than 90 days being discharged home. Measurements: We will evaluate whether guideline-recommended CKD care processes are initiated within 90 days, including statin use, angiotensin-converting enzyme inhibitor (ACEi)/angiotensin II receptor blocker (ARB) use in those with proteinuria or diabetes, and nephrologist follow-up if sustained eGFR

Abstract Background The first wave of COVID-19 in Calgary, Alberta accelerated the integration of primary care with the province’s centrally managed health system. This integration aimed to deliver wraparound in-community patient care through two interventions that combined to create the COVID-19 Integrated Pathway (CIP). The CIP’s interventions were: 1) a data sharing platform that ensured COVID-19 test results were directly available to family physicians (FPs), and 2) a clinical algorithm that supported FPs in delivering in-community follow up to improve patient outcomes. We describe the CIP function and its capacity to facilitate FP follow-up with COVID-19 patients and evaluate its impact on Emergency Department (ED) visits and hospitalization. Method We generated descriptive statistics by analyzing data from a Calgary Zone hub clinic called the Calgary COVID-19 Care Clinic (C4), provincially maintained records of hospitalization, ED visits, and physician claims. Results Between Apr. 16 and Sep. 27, 2020, 7289 patients were referred by the Calgary Public Health team to the C4 clinic. Of those, 48.6% were female, the median age was 37.4 y. 97% of patients had at least one visit with a healthcare professional, where follow-up was conducted using the CIP’s algorithm. 5.1% of patients visited an ED and 1.9% were hospitalized within 30 days of diagnosis. 75% of patients had a median of 4 visits with their FP. Discussion Our data suggest that information exchange between Primary Care (PC) and central systems facilitates primary care-based management of patients with COVID-19 in the community and has potential to reduce acute care visits.

Introduction: Health care providers face a multitude of challenges in providing care to patients with diabetes who are experiencing homelessness. Considering the unique circumstance faced by this population, mainstream services must be adapted and tailored to meet patients’ needs. The objective of this study was to explore both the barriers faced by providers and programs in offering comprehensive diabetes care to these patients, and their suggested areas for improvement. Methods: We conducted semi-structured interviews with providers who care for patients who have diabetes and/or who experience homelessness. Participants included primary care providers, specialist physicians, dietitians, shelter staff, outreach workers, and diabetes educators in five Canadian centres (n=96). Responses were analyzed using qualitative thematic analysis. Results: Barriers most frequently cited by providers were a lack of resources for staff. Other challenges included policy barriers (restrictions on billing codes, care professionals’ scope of practice, and the structure of financial support for this population), duplication of services, and alternative priorities of care. Participants identified several strategies to improve care, which targeted the following spheres: location of service provision and coordination of care, policy changes, and extending funding and resources for staff, such as augmented funding to hire allied health professionals in outpatient settings and increasing outreach capabilities. Conclusion: Programs that strive to address the unique needs of clients experiencing homelessness face numerous challenges. Unique potential solutions to these barriers, such as service provision in a convenient location involving social and health services, incorporating allied health care providers in care to a greater extent, and updating policies to reflect the social complexity of the population can improve diabetes care.

Introduction People experiencing homelessness suffer from poor outcomes after hospitalisation due to systemic barriers to care, suboptimal transitions of care, and intersecting health and social burdens. Case management programmes have been shown to improve housing stability, but their effects on broad posthospital outcomes in this population have not been rigorously evaluated. The Navigator Programme is a Critical Time Intervention case management programme that was developed to help homeless patients with their postdischarge needs and to link them with community-based health and social services. This randomised controlled trial examines the impact of the Navigator Programme on posthospital outcomes among adults experiencing homelessness.Methods and analysis This is a pragmatic randomised controlled trial testing the effectiveness of the Navigator Programme at an urban academic teaching hospital and an urban community teaching hospital in Toronto, Canada. Six hundred and forty adults experiencing homelessness who are admitted to the hospital will be randomised to receive support from a Homeless Outreach Counsellor for 90 days after hospital discharge or to usual care. The primary outcome is follow-up with a primary care provider (physician or nurse practitioner) within 14 days of hospital discharge. Secondary outcomes include postdischarge mortality or readmission, number of days in hospital, number of emergency department visits, self-reported care transition quality, and difficulties meeting subsistence needs. Quantitative outcomes are being collected over a 180-day period through linked patient-reported and administrative health data. A parallel mixed-methods process evaluation will be conducted to explore intervention context, implementation and mechanisms of impact.Ethics and dissemination Ethics approval was obtained from the Unity Health Toronto Research Ethics Board. Participants will be required to provide written informed consent. Results of the main trial and process evaluation will be reported in peer-reviewed journals and shared with hospital leadership, community partners and policy makers.Trial registration number NCT04961762.

Abstract Background Clinical pathways aim to improve patient care. We sought to determine whether an online chronic kidney disease (CKD) clinical pathway was associated with improvements in CKD management. Methods We conducted a retrospective pre/post population-based cohort study using linked health data from Alberta, Canada. We included adults 18 years or older with mean estimated glomerular filtration rate (eGFR)

Rationale & Objective: Sick day medication guidance has been promoted to prevent adverse events for people with chronic conditions. Our aim was to summarize the existing sick day medication guidance and the evidence base for the effectiveness of interventions for implementing this guidance. Study Design: Scoping review of quantitative and qualitative studies. Setting & Population: Sick day medication guidance for people with chronic conditions including diabetes mellitus, kidney diseases, and cardiovascular diseases. Selection Criteria for Studies: A search of 6 bibliographic databases (Ovid MEDLINE, Ovid Embase, CINAHL, Scopus, Web of Science Core Collection, and Cochrane Library [via Wiley]) and a comprehensive gray literature search were completed in June 2021. Data Extraction: Intervention and study characteristics were extracted using standardized tools. Analytical Approach: Data were summarized descriptively, and our approach observed the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for scoping reviews. Results: The literature search identified 2,308 documents, which were screened against the eligibility criteria, leading to 74 documents that were included. The majority of the identified documents (n = 55) were guidelines or educational resources. Of the 19 primary research studies identified, 10 studies described an intervention, with only 2 examining the effect of sick day medication guidance interventions within clinical care and no studies reporting beneficial effects on clinical outcomes. Most documents (n = 58) included guidance specific to patients with diabetes mellitus, with fewer including guidance for patients with chronic kidney disease (n = 9) or heart failure (n = 2). Limitations: Risk of bias was not assessed. Conclusions: Many resources promoting sick day medication guidance have been developed; however, there is very little empirical evidence for the effectiveness of current approaches in implementing sick day medication guidance into practice. Recommendations for the use of sick day medication guidance will require further research to develop consistent, understandable, and usable approaches for its implementation within self-management strategies as well as empirical studies to demonstrate the effectiveness of these interventions.

Summary: Background: Morbidity and mortality associated with opioid use has become a North American crisis. Harm reduction is an evidence-based approach to substance use. Targeted harm reduction strategies that consider the needs of specific populations are required. The objective of this scoping review was to document the range of opioid harm reduction interventions across equity-deserving populations including racialized groups, Indigenous peoples, LGBTQIA2S+, people with disabilities, and women. Methods: Ten databases were searched from inception to July 5th, 2021. Terms for harm reduction and opioid use formed the central concepts of the search. We included studies that: (1) assessed the development, implementation, and/or evaluation of harm reduction interventions for opioid use, and (2) reported health-related outcomes or presented perspectives that directly related to experiences receiving or administering harm reduction interventions, (3) were completed within an equity-deserving population and (4) were completed in New Zealand, Australia, Canada or the US. A knowledge map was developed a-priori based on literature outlining different types of harm reduction interventions and supplemented by the expertise of the research team. Findings: 12,958 citations were identified and screened, with 1373 reviewed in full-text screening. Of these, 15 studies were included in the final dataset. The most common harm reduction program was opioid agonist treatment (OAT) (n = 11, 73%). The remaining four studies included: overdose prevention; drug testing equipment; and outreach, peer support, and educational programs for safer use. Nine studies focused on women, primarily pregnant/post-partum women, three focused on Indigenous peoples, and three studies included racialized groups. No studies were identified that provided any information on persons with a disability or members of the LGBTQIA2S+ population. Interpretation: The scant opioid specific harm reduction literature on equity-deserving populations to date has primarily focused on OAT programs and is focused primarily on women. There is a need for more targeted research to address the diverse social experiences of people who use drugs and the spectrum of harm reduction interventions that are needed. There is also a need to acknowledge the history of harm reduction as a drug-user activist movement aimed at challenging bio-medical paradigms of drug use. Further, there is a need to recognize that academic research may be contributing to health inequity by not prioritizing research with this lens. Funding: This research was funded by the Canadian Institutes of Health Research.

Objectives In Alberta, Canada, we quantified the rate of potentially inappropriate oral antibiotic prescribing in emergency departments for viral infections or conditions not likely requiring antibiotics from 2010-2020 and assessed the impact of two Choosing Wisely Canada (CWC) campaigns (2015/2016 and 2018) discouraging inappropriate antibiotic prescribing in emergency medicine. Approach We linked emergency department adult and pediatric records from the National Ambulatory Care Reporting System and medication dispensations from community-based pharmacies in the Pharmaceutical Information Network. From January 2010 to February 2020, we identified emergency department visits for 5 conditions that were potentially inappropriately treated using antibiotics per CWC recommendations (bronchitis, asthma, bronchiolitis, pharyngitis, and acute otitis media). We used an interrupted time series design to detect changes in antibiotic prescribing by fitting Autoregressive Integrated Moving Average (ARIMA) models to account for secular trends and seasonality, allowing for change in slopes to measure the effect of each CWC intervention. Results Antibiotics were commonly prescribed in emergency departments for bronchitis (proportion of visits with antibiotics: 57%) and asthma (22%) in adults; bronchiolitis in children (43%); pharyngitis (39%) and acute otitis media (54%) in adults and children. Based on visual inspection, the proportion of emergency department visits for each condition where antibiotics were dispensed remained relatively consistent. The ARIMA models demonstrated mixed impacts on potentially inappropriate antibiotic prescribing associated with two interruptions: the 2015/2016 CWC recommendations and subsequent 2018 CWC Using Antibiotics Wisely campaign. Following each interruption, antibiotic prescribing was slightly reduced for bronchitis (-1.0%/year,p=0.03; -4.4%/year,p=0.004, respectively) and bronchiolitis (not significant) (-0.7%/year,p=0.57; -2.5%/year,p=0.34), but unchanged for asthma (-0.6%/year,p=0.30; 0.7%/year,p=0.74) and pharyngitis (0.0%/year,p=0.95; -0.2%/year,p=0.93), and slightly increased for acute otitis media (not significant) (1.4%/year,p=0.07; 5.9%/year,p=0.052). Conclusion Rates of potentially inappropriate antibiotic prescribing remained constant over the past 10 years in Alberta. Campaigns to rethink antibiotic use in emergency medicine may have resulted in small decreases in antibiotic use; however, further initiatives building upon existing campaigns are required to substantially reduce rates of inappropriate antibiotic prescribing.

Abstract Background Of the 15–20% of youth in North America affected by a chronic health condition (e.g., type 1 diabetes, cystic fibrosis) and/or mental health or neurodevelopmental disorder (e.g., depression, eating disorder, Attention Deficit-Hyperactivity Disorder), many often require lifelong specialist healthcare services. Ongoing primary care during childhood and into young adulthood is recommended by best practice guidelines. To date, it is largely unknown if, how, and when primary care physicians (PCPs; such as family physicians) collaborate with specialists as AYAs leave pediatric-oriented services. The proposed scoping review will synthesize the available literature on the roles of PCPs for AYAs with chronic conditions leaving pediatric specialty care and identify potential benefits and challenges of maintaining PCP involvement during transition. Methods Arksey and O’Malley’s original scoping review framework will be utilized with guidance from Levac and colleagues and the Joanna Briggs Institute. A search of databases including MEDLINE (OVID), EMBASE, PsycINFO, and CINAHL will be conducted following the development of a strategic search strategy. Eligible studies will (i) be published in English from January 2004 onwards, (ii) focus on AYAs (ages 12–25) with a chronic condition(s) who have received specialist services during childhood, and (iii) include relevant findings about the roles of PCPs during transition to adult services. A data extraction tool will be developed and piloted on a subset of studies. Both quantitative and qualitative data will be synthesized. Discussion Key themes about the roles of PCPs for AYAs involved with specialist services will be identified through this review. Findings will inform the development and evaluation of a primary-care based intervention to improve transition care for AYAs with chronic conditions.

Abstract Background Hypertension is a common chronic condition affecting nearly a quarter of Canadians. Hypertension surveillance in Canada typically relies on administrative data and/or national surveys. Routinely-captured data from primary care electronic medical records (EMRs) are a complementary source for chronic disease surveillance, with longitudinal patient-level details such as sociodemographics, blood pressure, weight, prescribed medications, and behavioural risk factors. As EMR data are generated from patient care and administrative tasks, assessing data quality is essential before using for secondary purposes. This study evaluated the quality of primary care EMR data from one province in Canada within the context of hypertension surveillance. Methods We conducted a cross-sectional, descriptive study using primary care EMR data collected by two practice-based research networks in Alberta, Canada. There were 48,377 adults identified with hypertension from 53 clinics as of June 2018. Summary statistics were used to examine the quality of data elements considered relevant for hypertension surveillance. Results Patient year of birth and sex were complete, but other sociodemographic information (ethnicity, occupation, education) was largely incomplete and highly variable. Height, weight, body mass index and blood pressure were complete for most patients (over 90%), but a small proportion of outlying values indicate data inaccuracies were present. Most patients had a relevant laboratory test present (e.g. blood glucose/glycated hemoglobin, lipid profile), though a very small proportion of values were outside a biologically plausible range. Details of prescribed antihypertensive medication, such as start date, strength, dose, frequency, were mostly complete. Nearly 80% of patients had a smoking status recorded, though only 66% had useful information (i.e. categorized as current, past, or never), and less than half had their alcohol use described; information related to amount, frequency or duration was not available. Conclusions Blood pressure and prescribed medications in primary care EMR data demonstrated good completeness and plausibility, and contribute valuable information for hypertension epidemiology and surveillance. The use of other clinical, laboratory, and sociodemographic variables should be used carefully due to variable completeness and suspected data errors. Additional strategies to improve these data at the point of entry and after data extraction (e.g. statistical methods) are required.

Background: Data on dissemination strategies that generate awareness of clinical pathways for kidney care are limited. Objective: This study reports the application of Google Analytics to describe the reach and use of the Chronic Kidney Disease Pathway (CKD-P) using a multi-faceted dissemination strategy. Design: The design of this study is a retrospective descriptive study. Setting: This study was conducted in Alberta, Canada. Patients: Individuals who accessed the CKD-P Web site between November 5, 2014, and May 31, 2019. Measurements: Dissemination activities included print, electronic, in-person meetings, and a laboratory prompt. We used Google Analytics over a 5-year period to evaluate the following CKD-P Web site user metrics: number of sessions, pageviews, visit duration, user path, and bounce rate (when an individual visits a single page of the Web site and leaves the Web site without interacting with additional pages). Methods: We plotted dissemination activities alongside Web site metrics using control charts and described the data using means and percentages. We performed chi-square test for trends to evaluate year-over-year usage. Results: There were 83 294 users, 90 805 sessions, and 231 684 pageviews. The overall bounce rate was 45.7%. Each user had an average of 1.5 sessions and a session duration of 2 minutes and 8 seconds. There was a significant positive trend for total annual users ( P = .008), new users ( P = .009), number of sessions ( P = .006), and pageviews per day ( P = .016). Limitations: We were unable to confirm if users were primary care providers and if word-of-mouth dissemination among providers/researchers drove people to use the CKD-P. Conclusions: Google Analytics was a useful and accessible tool for evaluating CKD-P reach and use trends. It was challenging to identify how individual dissemination activities contributed to CKD-P reach; however, repeated dissemination appeared to play a role in increasing CKD-P use. Trial registration: Not applicable—observational study design.

Abstract Background Transitioning from pediatric care to adult-oriented care at age 18 (the age of transfer in most countries and jurisdictions) is a complex process for adolescents and young adults affected by chronic physical health and/or mental health conditions. The role of primary health care (PHC) providers for this population is poorly understood. Perspectives from these providers, such as family physicians and other members of the primary care team, have not been explored in depth. Methods A total of 18 participants (e.g., family physicians, social workers, nurses) were recruited from 6 Primary Care Networks in Calgary, Alberta, Canada. Semi-structured individual interviews were conducted, and transcribed verbatim. A qualitative description approach was used to analyze the data, and included thematic analysis. Results Five distinct, yet overlapping, roles of primary health care providers for adolescents and young adults transitioning to adult care resulted from our analysis: (1) being the “common thread” (continuous accessible care); (2) caring for the “whole patient” (comprehensive care); (3) “knowing families” (family-partnered care); (4) “empowering” adolescents and young adults to develop “personal responsibility” (developmentally-appropriate care); and (5) “quarterbacking” care (coordination of specialist and/or community-based care). Participants identified potential benefits of these roles for adolescents and young adults transitioning to adult care, and barriers in practice (e.g., lack of time, having minimal involvement in pediatric care). Conclusions Input from family physicians, who follow their patients across the lifespan and provide the majority of primary care in Canada, are critical for informing and refining recommended transition practices. Our findings provide insights, from PHC providers themselves, to bolster the rationale for primary care involvement during transitions from pediatric specialty and community-based care for AYAs. Solutions to overcome barriers for integrating primary care and specialty care for adolescents and young adults need to be identified, and tested, with input from key stakeholders.

Abstract Background Primary care electronic medical record (EMR) data are emerging as a useful source for secondary uses, such as disease surveillance, health outcomes research, and practice improvement. These data capture clinical details about patients’ health status, as well as behavioural risk factors, such as smoking. While the importance of documenting smoking status in a healthcare setting is recognized, the quality of smoking data captured in EMRs is variable. This study was designed to test methods aimed at improving the quality of patient smoking information in a primary care EMR database. Methods EMR data from community primary care settings extracted by two regional practice-based research networks in Alberta, Canada were used. Patients with at least one encounter in the previous 2 years (2016–2018) and having hypertension according to a validated definition were included (n = 48,377). Multiple imputation was tested under two different assumptions for missing data (smoking status is missing at random and missing not-at-random). A third method tested a novel pattern matching algorithm developed to augment smoking information in the primary care EMR database. External validity was examined by comparing the proportions of smoking categories generated in each method with a general population survey. Results Among those with hypertension, 40.8% (n = 19,743) had either no smoking information recorded or it was not interpretable and considered missing. Those with missing smoking data differed statistically by demographics, clinical features, and type of EMR system used in the clinic. Both multiple imputation methods produced fully complete smoking status information, with the proportion of current smokers estimated at 25.3% (data missing at random) and 12.5% (data missing not-at-random). The pattern-matching algorithm classified 18.2% of patients as current smokers, similar to the population-based survey (18.9%), but still resulted in missing smoking information for 23.6% of patients. The algorithm was estimated to be 93.8% accurate overall, but varied by smoking status category. Conclusion Multiple imputation and algorithmic pattern-matching can be used to improve EMR data post-extraction but the recommended method depends on the purpose of secondary use (e.g. practice improvement or epidemiological analyses).

BackgroundWith the growing excitement of the potential benefits of using machine learning and artificial intelligence in medicine, the number of published clinical prediction models that use these approaches has increased. However, there is evidence (albeit limited) that suggests that the reporting of machine learning–specific aspects in these studies is poor. Further, there are no reviews assessing the reporting quality or broadly accepted reporting guidelines for these aspects. ObjectiveThis paper presents the protocol for a systematic review that will assess the reporting quality of machine learning–specific aspects in studies that use machine learning to develop clinical prediction models. MethodsWe will include studies that use a supervised machine learning algorithm to develop a prediction model for use in clinical practice (ie, for diagnosis or prognosis of a condition or identification of candidates for health care interventions). We will search MEDLINE for studies published in 2019, pseudorandomly sort the records, and screen until we obtain 100 studies that meet our inclusion criteria. We will assess reporting quality with a novel checklist developed in parallel with this review, which includes content derived from existing reporting guidelines, textbooks, and consultations with experts. The checklist will cover 4 key areas where the reporting of machine learning studies is unique: modelling steps (order and data used for each step), model performance (eg, reporting the performance of each model compared), statistical methods (eg, describing the tuning approach), and presentation of models (eg, specifying the predictors that contributed to the final model). ResultsWe completed data analysis in August 2021 and are writing the manuscript. We expect to submit the results to a peer-reviewed journal in early 2022. ConclusionsThis review will contribute to more standardized and complete reporting in the field by identifying areas where reporting is poor and can be improved. Trial RegistrationPROSPERO International Prospective Register of Systematic Reviews CRD42020206167; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=206167 International Registered Report Identifier (IRRID)RR1-10.2196/30956

Malnutrition and poor health are common among recently resettled refugees and may be differentially associated with pre-migration exposure to refugee camp versus non-camp dwelling. We aimed to investigate the associations of iron deficiency (ID), anemia, and ID anemia (IDA) with pre-migration refugee camp exposure among recently arrived refugees to Canada. To this end, we conducted a retrospective cohort study of 1032 adult refugees who received care between January 1, 2011, and December 31, 2015, within a specialized refugee health clinic in Calgary, Canada. We evaluated the prevalence, severity, and predictors of ID, anemia, and IDA, stratified by sex. Using multivariable logistic regression, we estimated the association of refugee camp exposure with these outcomes, adjusting for age, months in Canada prior to investigations, global region of origin, and parity. Among female refugees, the prevalence of ID, anemia, and IDA was 25% (134/534), 21% (110/534), and 14% (76/534), respectively; among males, 0.8% (4/494), 1.8% (9/494), and 0% (0/494), respectively. Anemia was mild, moderate, and severe in 55% (60/110), 44% (48/110) and 1.8% (2/110) of anemic females. Refugee camp exposure was not associated with ID, anemia, or IDA while age by year (ID OR = 0.96, 95% CI 0.93–0.98; anemia OR = 0.98, 95% CI 0.96–1.00; IDA OR = 0.96, 95% CI 0.94–0.99) and months in Canada prior to investigations (ID OR = 0.85, 95% CI 0.72–1.01; anemia OR = 0.81, 95% CI 0.67–0.97; IDA OR = 0.80, 95% CI 0.64–1.00) were inversely correlated with these outcomes. ID, anemia, and IDA are common among recently arrived refugee women irrespective of refugee camp exposure. Our findings suggest these outcomes likely improve after resettlement; however, given proportionally few refugees are resettled globally, likely millions of refugee women and girls are affected.

Background Gaps in identification, medical management and appropriate referral for patients with chronic kidney disease (CKD) are evident.Objective We designed and implemented an interactive educational intervention (accredited workshop) to improve primary care providers’ awareness of tools to support guideline-concordant CKD management.Design We used the Kern method to design the educational intervention and targeted the accredited workshops to primary care team members (physicians, nurses and allied health) in Alberta, Canada. We conducted anonymous pre-workshop and post-workshop surveys to identify practice-specific barriers to care, identify potential solutions, and evaluate provider confidence pre-intervention and post-intervention. We used non-parametric statistics to analyse Likert-type survey data and descriptive content analysis to categorise responses to open-ended survey questions.Results We delivered 12 workshops to 114 providers from September 2017 through March 2019. Significant improvements (p

Introduction Frailty is a medical syndrome, commonly affecting people aged 65 years and over and is characterized by a greater risk of adverse outcomes following illness or injury. Electronic medical records contain a large amount of longitudinal data that can be used for primary care research. Machine learning can fully utilize this wide breadth of data for the detection of diseases and syndromes. The creation of a frailty case definition using machine learning may facilitate early intervention, inform advanced screening tests, and allow for surveillance. Objectives The objective of this study was to develop a validated case definition of frailty for the primary care context, using machine learning. Methods Physicians participating in the Canadian Primary Care Sentinel Surveillance Network across Canada were asked to retrospectively identify the level of frailty present in a sample of their own patients (total n = 5,466), collected from 2015-2019. Frailty levels were dichotomized using a cut-off of 5. Extracted features included previously prescribed medications, billing codes, and other routinely collected primary care data. We used eight supervised machine learning algorithms, with performance assessed using a hold-out test set. A balanced training dataset was also created by oversampling. Sensitivity analyses considered two alternative dichotomization cut-offs. Model performance was evaluated using area under the receiver-operating characteristic curve, F1, accuracy, sensitivity, specificity, negative predictive value and positive predictive value. Results The prevalence of frailty within our sample was 18.4%. Of the eight models developed to identify frail patients, an XGBoost model achieved the highest sensitivity (78.14%) and specificity (74.41%). The balanced training dataset did not improve classification performance. Sensitivity analyses did not show improved performance for cut-offs other than 5. Conclusion Supervised machine learning was able to create well performing classification models for frailty. Future research is needed to assess frailty inter-rater reliability, and link multiple data sources for frailty identification.

Abstract Background Transition to adult care represents a vulnerable period for young people with special health care needs as they navigate multiple life transitions and developmental issues. Patient navigators are a promising intervention designed to facilitate the transfer from pediatric to adult care. However, consistent definitions, key tasks, roles and responsibilities are lacking in guiding the scope of practice and the implementation of patient navigators. Methods Fundamental qualitative description was utilized in this study to identify perceptions from health care providers about implementing a patient navigator service for young people with special health care needs in transition to adult care. A purposive sample of health care providers with a variety of backgrounds within pediatric and adult systems in Alberta, Canada were recruited. Semi-structured interviews with participants were analyzed using thematic analysis to inductively identify perceptions regarding the role of patient navigators. Results A total of 43 health care providers highlighted the need for a patient navigator service to encompass 4 key stages for young people with special health care needs transitioning from pediatric to adult services: (1) identification of young people with special health care needs and families requiring support, (2) preparation for transfer, (3) health system navigation and, (4) post-transfer support. Conclusions The results of this qualitative study provide guidance for the development of patient navigator interventions for young people with special health care needs, as well as provide support for current transition services offered across Canada.

Indigenous women experience a disproportionate burden of chronic diseases and health challenges related to obesity. The need for culturally relevant programming to support and empower women to optimize health is well established. Participatory physical activity [PA]-focused programming responsive to the sociocultural realities of Indigenous women may hold promise. However, obesity and chronic disease literature for Indigenous women focusing on PA change predominantly discusses individual behaviors, leaving a knowledge gap around the social and environmental supports needed to realize improved outcomes. We searched PubMed, Ovid MEDLINE, CINAHL, Bibliography of Native North Americans, and the University of New Mexico’s Native Health Databases for English language peer-reviewed articles on PA-based programs addressing prevention or management of obesity with Indigenous women as a primary focus. Fifteen articles, representing 13 unique programs, were included in the review. Outcome measures included program attendance and factors influencing program acceptance, PA, biochemical markers and blood pressure, weight and waist circumference measurements, the development of social supports, and nutritional knowledge acquisition. Although some studies found improvements in PA level and other outcomes, the marked variability in study design makes it difficult to draw conclusions about best practices for PA-based wellness and weight management programs for Indigenous women. However, programming that acknowledges and provides accommodation for the complex factors that influence behavior, incorporates cultural and community elements, and integrates opportunities for supportive network development may improve outcomes.

Introduction Participatory research is a study method that engages patients in research programs, ideally from study design through to dissemination. It is not commonly used in diabetes health services research. Our objectives were to describe the process and challenges of conducting a participatory research project and to highlight the experiences of both patient co-researchers and academic researchers.Research design and methods We recruited people with lived experience of homelessness (PWLEH) and diabetes in Toronto, Canada to become patient co-researchers. They were asked to commit to attending biweekly meetings. We undertook two major research projects: concept mapping to choose a research focus; and photovoice to explore accessing healthy food while homeless. We used a convergent mixed-methods design to evaluate their experience.Results A diverse group of eight PWLEH had an average attendance of 82% over 21 meetings—despite this success, we encountered a number of challenges of conducting this research: funding, ethics approval and recruitment were particularly difficult. Group members reported that participation improved their ability to self-advocate in their diabetes care and provided them with tangible skills and social benefits. Group members stated that they valued being involved in all aspects of the research, in particular knowledge translation activities, including advocating for nutritious food at shelters; presenting to stakeholders; and meeting with policymakers.Conclusions The use of participatory research methods enables academic researchers to support community members in pursuing research that is pertinent to them and which has a positive impact. In our study, co-researchers contributed in meaningful ways and also valued the experience.

Objective The objective of our study was to explore the perspectives of patients and general practitioners (GPs) regarding interventions to increase initiation of cholesterol lowering medication (or statins), including a proposed laboratory-based facilitated relay intervention.Design Qualitative descriptive study using interviews and focus groups for data collection, and thematic analysis for data analysis.Setting Primary care providers and patients in Calgary, Alberta, Canada.Participants 17 GPs with primarily community-based, non-academic practices with at least 1 year of practice experience participated in semistructured interviews. 14 patients at high risk of cardiovascular disease participated in focus groups.Main outcome measures Exploration of strategies that might be used to enhance the prescription of, and adherence to statin therapy for patients with statin-indicated conditions.Results GPs proposed a variety of interventions to improve statin prescription, including electronic record audit solutions, GP directed education, and patient-oriented campaigns. Patients expressed that they may benefit from being provided access to their laboratory test results, as well as targeted education. Both parties provided positive feedback on the proposed laboratory-based facilitated relay intervention, while pointing out areas for improvement. Notably, GPs were concerned that the patient-directed component of the intervention might jeopardise therapeutic relationships, and patients were concerned about accidental disclosure of personal health information. Important considerations for the design of facilitated relay messaging should include brevity, simplicity and the provision of contact information for inquiries.Conclusions GPs and patients described several suggestions for increasing statin initiation and welcomed the proposal of a laboratory-based facilitated relay strategy. These findings support further testing of this intervention which may enhance GPs’ ability to successfully engage patients in cardiovascular risk reduction through statin therapy.

Objective To describe the process for linking electronic medical record (EMR) and administrative data in Alberta and examine the advantages and limitations of utilising linked data for hypertension surveillance.Methods De-identified EMR data from 323 primary care providers contributing to the Canadian Primary Care Sentinel Surveillance Network (CPCSSN) in Alberta were used. Mapping files from each contributing provider were generated from their EMR to facilitate linkage to administrative data within the provincial health data warehouse. Deterministic linkage was conducted using valid personal healthcare number (PHN) with age and/or sex. Characteristics of patients and providers in the linked cohort were compared with population-level sources. Criteria used to define hypertension in both sources were examined.Results Data were successfully linked for 6307 hypertensive patients (96.2% of eligible patients) from 49 contributing providers. Non-linkages from invalid PHN (n=246) occurred more for deceased patients and those with fewer primary care encounters, with differences due to type of EMR and patient EMR status. The linked cohort had more patients who were female, >60 years and residing in rural areas compared to the provincial healthcare registry. Family physicians were more often female and medically trained in Canada compared to all physicians in Alberta. Most patients (>97%) had ≥1 record in the registry, pharmacy, emergency/ambulatory care and claims databases; 44.3% had ≥1 record in the hospital discharge database.Conclusion EMR-administrative data linkage has the potential to enhance hypertension surveillance. The current linkage process in Alberta is limited and subject to selection bias. Processes to address these deficiencies are under way.

Abstract Background There is a great deal of variation in the design and delivery of patient navigator (PN) programs, making it difficult to design or adopt these interventions in new contexts. We (1) systematically reviewed the literature to generate a preliminary program theory to describe how patient navigator interventions are designed and delivered; and (2) describe how the resulting program theory was applied in context to inform a prototype for a patient navigator program. Methods The current study includes a secondary review of a larger systematic review. We reviewed studies included in the primary review to identify those that designed and evaluated programs to assist patients in accessing and/or adhering to care. We conducted a content analysis of included publications to describe the barriers targeted by PN interventions and the navigator activities addressing those barriers. A program theory was constructed by mapping patient navigator activities to corresponding constructs within the capability-opportunity-motivation model of behavior change (COM-B) model of behavior change. The program theory was then presented to individuals with chronic disease, healthcare providers, and system stakeholders, and refined iteratively based on feedback. Results Twenty one publications describing 19 patient navigator interventions were included. A total of 17 unique patient navigator activities were reported. The most common included providing education, facilitating referrals, providing social and emotional support, and supporting self-management. The majority of navigator activities targeted barriers to physical opportunity, including facilitating insurance claims, assistance with scheduling, and providing transportation. Across all interventions, navigator activities were designed to target a total of 20 patient barriers. Among interventions reporting positive effects, over two thirds targeted knowledge barriers, problems with scheduling, proactive re-scheduling following a missed appointment, and insurance. The final program design included a total of 13 navigator activities—10 informed by the original program theory and 3 unique activities informed by stakeholders. Conclusions There is considerable heterogeneity in intervention content across patient navigator interventions. Our results provide a schema from which to develop PN interventions and illustrate how an evidence-based model was used to develop a real-world PN intervention. Our findings also highlight a critical need to improve the reporting of intervention components to facilitate translation. Systematic review registration PROSPERO CRD42013005857

Abstract Background There is a pressing need to reduce the burden of chronic disease and improve healthcare system sustainability through improved cancer and chronic disease prevention and screening (CCDPS) in primary care. We aim to create an integrated approach that addresses the needs of the general population and the special concerns of cancer survivors. Building on previous research, we will develop, implement, and test the effectiveness of an approach that proactively targets patients to attend an individualized CCDPS intervention delivered by a Prevention Practitioner (PP). The objective is to determine if patients randomized to receive an individualized PP visit (vs standard care) have improved cancer surveillance and CCDPS outcomes. Implementation frameworks will help identify and address facilitators and barriers to the approach and inform future dissemination and uptake. Methods/design The BETTER WISE project is a pragmatic two-arm cluster randomized controlled trial embedded in a mixed methods design, including a qualitative evaluation and an economic assessment. The intervention, informed by the expanded chronic care model and previous research, will be refined by engaging researchers, practitioners, policy makers, and patients. The BETTER WISE tool kit includes blended care pathways for cancer survivors (breast, colorectal, prostate) and CCDPS including lifestyle risk factors and screening for poverty. Patients aged 40–65, including both cancer survivors and general population patients, will be randomized at the physician level to an intervention group or to a wait-list control group. Once the intervention is completed, patients randomized to wait-list control will be invited to receive a prevention visit. The main outcome, calculated at 12-months follow-up, will be an individual patient-level summary composite index, defined as the proportion of CCDPS actions achieved relative to those for which the patient was eligible at baseline. A qualitative evaluation will capture information related to program outcome, implementation (facilitators and barriers), and sustainability. An economic assessment will examine the projected cost-benefit impact of investing in the BETTER WISE approach. Discussion This project builds on existing work and engages end users throughout the process to develop, implement, and determine the effectiveness of a multi-faceted intervention that addresses CCDPS and cancer survivorship in primary care settings. Trial registration ISRCTN21333761. Registered on December 19, 2016

Introduction Transition to adult care is a challenging and complex process for youth with special healthcare needs. We aim to compare effectiveness of a patient navigator service in reducing emergency room (ER) use among adolescents with chronic health conditions transitioning to adult care.Methods and analysis Pragmatic randomised controlled trial parallel group design comparing ER visit rates between patients with access to a personalised navigator intervention compared with usual care. Unit of randomisation is the patient. Treatment assignment will not be blinded. Embedded qualitative study to understand navigator’s role and cost analysis attributable to the intervention will be performed. Patients aged 16–21 years, followed within a chronic disease clinic, expected to be transferred to adult care within 12 months and residing in Alberta during study period will be recruited from three tertiary care paediatric hospitals. Sample size will be 300 in each arm. Navigator intervention over 24 months is designed to assist participants in four domains: transition preparation, health system brokering, socioeconomic determinants of health and self-management. Primary outcome is ER visit rate during observation period. Secondary outcomes are ambulatory and inpatient care utilisation measures, as well as Transition Readiness Assessment Questionnaire score, and Short-Form Health Survey 12 (SF-12) score at 6 and 18 months post-randomisation. Poisson regression will compare rates of ER/urgent care visits between navigator and control participants, using intention to treat principle. Cost analysis of the intervention will be conducted. Thematic analysis will be used to identify perceptions of stakeholders regarding the role of navigators.Ethics and dissemination Ethics approval was obtained from the University of Calgary Conjoint Health Research Ethics Board (REB #162561) and the University of Alberta Health Research Ethics Board (Pro00077325). Our team is composed of diverse stakeholders who are committed to improving transition of care who will assist with dissemination of results.Trial registration number NCT03342495.

Electronic medical record (EMR) databases have become increasingly popular for secondary purposes, such as health research. The Canadian Primary Care Sentinel Surveillance Network (CPCSSN) is the country’s first and only national primary care EMR data repository, with de-identified health information for almost two million Canadians. Comprehensive and freely available documentation describing the data ‘lifecycle’ is important for assessing potential data quality issues and appropriate interpretation of research findings. Here, we describe the flow of CPCSSN data in the province of Alberta. The data originate from 54 publicly-funded primary care settings, including one community pediatric clinic, with 318 providers contributing de-identified EMR data for 410,951 patients. Data extraction methods have been developed for five different EMR systems, and include both backend and automated frontend extractions. The raw EMR data are transformed according to specific rules, including trimming implausible values, converting values and free text to standard terminologies or classification systems, and structuring the data into a common CPCSSN format. Regional networks across Canada are responsible for their local data extraction and processing, before the data are transferred to a central repository, and made available for research and disease surveillance. This paper aims to provide important contextual information to future CPCSSN data users.

Introduction Risk prediction models can be used to inform decision-making in clinical settings. With large and detailed electronic medical record data, machine learning may improve predictions. The objective of this work is to determine the feasibility and accuracy of machine learning versus logistic regression to predict unplanned hospital admissions. Objectives and Approach Data from primary care electronic medical records for community-dwelling adults in Alberta, Canada available from the Canadian Primary Care Sentinel Surveillance Network will be linked to acute care administrative health data held by Alberta Health Services. Two regression methods (forward stepwise logistic, LASSO logistic) will be compared with three machine learning methods (classification tree, random forest, gradient boosted trees). Prior primary and acute care use will be used to predict three outcomes: ≥1 unplanned admission within 1 year, ≥1 unplanned admission within 90 days, and ≥1 unplanned admission within 1 year due to an ambulatory care sensitive condition. Results The results of this work in progress will be presented at the conference. 41,142 patients will have their primary and acute care data linked. We anticipate that the machine learning methods will improve predictive performance but will be more challenging for clinicians and patients to understand, including why a given patient is predicted to be at higher risk. The primary comparison of machine learning and regression methods will be based on positive predictive values corresponding to the top 5% predicted risk threshold, and estimated via 10-fold cross-validation. Conclusion/Implications This project aims to help researchers decide which statistical methods to use for risk prediction models. When considering machine learning methods the best approach may be to try multiple methods, compare their predictive accuracy and interpretability, and then choose a final method.

Introduction Administrative data are commonly used for a variety of secondary purposes. Although they lack clinical detail and risk factor information, linkage to primary care electronic medical records (EMR) could fill this gap. Primary care EMRs are a relatively new data source available in Alberta and thus, EMR-administrative linkages are novel. Objectives and Approach To describe the process undertaken for linking de-identified primary care EMR data from two regional Alberta networks of the Canadian Primary Care Sentinel Surveillance Network (CPCSSN) with administrative data (hospital admissions, emergency department visits, pharmacy information) from Alberta Health Services Analytics, specifically as it relates to a study on patients with complex, chronic diseases. As this linkage process is new in Alberta, we will describe the challenges encountered and possible solutions to inform future data linkage for research studies. Results Linkage steps: 1) approval from research ethics board and individual CPCSSN providers as data custodians; 2) notify Privacy Commissioner on behalf of custodian; 3) send linking key (CPCSSN patient ID, EMR ID) from regional database to Analytics; 4) send linking files (patient personal health number [PHN], EMR ID) from custodian’s EMR system to Analytics; 5) match unique EMR ID from linking key and clinic linking files; 6) PHN from clinic linking file mapped to administrative data; 7) data de-identified before transferring to secure repository; administrative data matched to EMR data using CPCSSN ID. Challenges: obtaining individual provider consent for each study; sampling bias; delays/issues generating clinic linkage file; mismatch between patients in clinic \& regional linking files. Current and potential solutions will be discussed during the presentation. Conclusion/Implications As primary care EMR and administrative data become more routinely linked and accepted, the process will become more efficient and streamlined. These data will contribute to a better understanding of patients and their care in Alberta.

Introduction The problem list of a patient’s primary care electronic medical record (EMR) generally reflects their important medical conditions. We will use association rule mining to assess between-provider and between-clinic variation in the coding of select conditions in the EMR problem list, in order to identify possible under-coding outliers. Objectives and Approach EMR data from participating clinics in the Canadian Primary Care Sentinel Surveillance Network (CPCSSN) will be used, with a focus on three commonly-occurring conditions (hypertension, diabetes, and depression). Association rule mining will be used to develop association rules between these conditions and other clinical information available in the EMR, such as other diagnoses in the problem list, billing codes, medications, and laboratory results (e.g., a rule of “diabetic medication→diabetes” indicates that patients prescribed a diabetic medication are likely to have diabetes in the problem list). Under-coding outliers at the provider and clinic levels will be identified by comparing rule enforcement. Results Results from this work in progress will be presented at the conference. An estimated 270 clinics, 1340 providers, and 1.8 million patients will be included from the CPCSSN database. Rule ‘confidence’ will be used to identify outliers; the confidence of a rule X→Y is the proportion of individuals with X who also have Y (Pr(Y|X)). For example, we may find that on average 80% of patients prescribed a diabetic medication will also have a diagnosis of diabetes in the problem list (average confidence of 80%), but an outlier clinic may have a confidence of 40%; this low rule confidence may indicate under-coding of diabetes in the problem list. Confounding by patient demographics (e.g., age, sex, urban/rural) will be assessed and adjusted for, if necessary. Conclusion/Implications This work examines a novel method to identify potential under-coding in the EMR problem list. Providers/clinics could use this information to update patients’ problem list or inform quality improvement interventions. Researchers using primary care EMR data need to be aware of potential under-coding and take steps to mitigate the effects.