Scaling-Up eConsult: Promising Strategies to Address Enabling Factors in Four Jurisdictions in Canada.

BACKGROUND: Effective healthcare innovations are often not scaled up beyond their initial local context. Lack of practical knowledge on how to move from local innovations to large-system improvement hinders innovation and learning capacity in health systems. Studying scale-up processes can lead to a better understanding of how to facilitate the scale-up of interventions. eConsult is a digital health innovation that aims to connect primary care professionals with specialists through an asynchronous electronic consultation. The recent implementation of eConsult in the public health systems of four Canadian jurisdictions provides a unique opportunity to identify different enabling strategies and related factors that promote the scaling up of eConsult across jurisdictions. METHODS: We conducted a narrative case study in four Canadian provinces, Quebec, Ontario, Manitoba, and Newfoundland & Labrador, over a 3-year period (2018-2021). We observed provincial eConsult committee meetings (n=65) and national eConsult forums (n=3), and we reviewed internal documents (n=93). We conducted semi-structured interviews with key actors in each jurisdiction (eg, researchers, primary care professionals, specialists, policy-makers, and patient partners) (n=40). We conducted thematic analysis guided by the literature on factors and strategies used to scale up innovations. RESULTS: We identified a total of 31 strategies related to six key enabling factors to scaling up eConsult, including: (1) multi-actor engagement; (2) relative advantage; (3) knowledge transfer; (4) strong evidence base; (5) physician leadership; and (6) resource acquisition (eg, human, material, and financial resources). More commonly used strategies, such as leveraging research infrastructure and bringing together various actors, were used to address multiple enabling factors. CONCLUSION: Actors used various strategies to scale up eConsult within their respective contexts, and these helped address six key factors that seemed to be essential to the scale-up of eConsult.

Virtual assessment and management of chronic cough: A scoping review.

Background: Chronic cough is a frequent reason for seeking consultation with primary care providers. The recent widespread adoption of virtual care offers a promising alternative that can be used to optimize the assessment and management of this condition. The objective of this review was to map and identify the strategies used to assess and/or manage chronic cough virtually, and to explore their impact on cough severity and patient satisfaction with virtual care. Methods: A scoping review was conducted in MEDLINE, EMBASE, and CINAHL in May 2023. Research questions were defined based on the Population, Concept, Context mnemonic, and literature search was conducted using a three-step approach. Study selection involved the steps of identification, screening, eligibility, and inclusion. A descriptive synthesis was performed, and quantitative variables were presented as absolute and relative frequencies. Results: A total of 4953 studies were identified and seven met the inclusion criteria. The following mHealth and telehealth strategies were identified: diagnostic website, specialized online clinic, online speech language therapy, and remote follow-up to assess the effectiveness of in-person interventions. Results indicated that these virtual strategies can be useful to assess chronic cough, treat, and track chronic cough symptoms. Overall, patients were satisfied with the approaches. Conclusion: Although literature is scarce, evidence suggests that virtual strategies for the assessment and management of chronic cough may be effective and are well-received by patients. However, further research is needed to identify the type and characteristics of virtual approaches leading to optimize and facilitate the care of patients with this condition. This will also help develop a strong body of evidence to support their incorporation into guidelines and clinical practice.

Identifying patients with diagnosed cirrhosis in administrative health databases: a validation study.

Objectives: Case ascertainment algorithms were developed and validated to identify people living with cirrhosis in administrative health data in Manitoba, Canada using primary care electronic medical records (EMR) to define the reference standards. Methods: We linked provincial administrative health data to primary care EMR data. The validation cohort included 116,675 Manitobans aged >18 years with at least one primary care visit between April 1998 and March 2015. Hospital records, physician billing claims, vital statistics, and prescription drug data were used to develop and test 93 case-finding algorithms. A validated case definition for primary care EMR data was the reference standard. We estimated sensitivity, specificity, positive and negative predictive values (PPV, NPV), Youden's index, area under the receiver operative curve, and their 95% confidence intervals (CIs). Results: A total of 116,675 people were in the validation cohort. The prevalence of cirrhosis was 1.4% (n = 1593). Algorithm sensitivity estimates ranged from 32.5% (95% CI 32.2-32.8) to 68.3% (95% CI 68.0-68.9) and PPV from 17.4% (95% CI 17.1-17.6) to 23.4% (95% CI 23.1-23.6). Specificity (95.5-98.2) and NPV (approximately 99%) were high for all algorithms. The algorithms had slightly higher sensitivity estimates among men compared with women, and individuals aged ≥45 years compared to those aged 18-44 years. Conclusion: Cirrhosis algorithms applied to administrative health data had moderate validity when a validated case definition for primary care EMRs was the reference standard. This study provides algorithms for identifying diagnosed cirrhosis cases for population-based research and surveillance studies.

Prevalence and management of dyslipidemia in primary care practices in Canada.

OBJECTIVE: To estimate the prevalence of dyslipidemia and to describe its management in Canadian primary care. DESIGN: Retrospective cohort study using primary care electronic medical record data. SETTING: Canada. PARTICIPANTS: Adults aged 40 years or older who saw a Canadian Primary Care Sentinel Surveillance Network contributor between January 1, 2018, and December 31, 2019. MAIN OUTCOME MEASURES: Presence or absence of dyslipidemia as identified by a validated case definition and the treatment status of patients identified as having dyslipidemia based on having been prescribed a lipid-lowering agent (LLA). RESULTS: In total, 50.0% of the 773,081 patients 40 years of age or older who had had a primary care visit in 2018 or 2019 were identified as having dyslipidemia. Dyslipidemia was more prevalent in patients 65 or older (61.5%), in males (56.7%) versus females (44.7%), and in those living in urban areas (50.0%) versus rural areas (45.2%). In patients with documented dyslipidemia, 42.8% had evidence of treatment with an LLA. Stratifying patients by Framingham risk score revealed that those in the high-risk category were more likely to have been prescribed an LLA (65.0%) compared with those in the intermediate-risk group (48.7%) or the low-risk group (22.8%). The strongest determinants of receiving LLA treatment for dyslipidemia include sex, with males being 1.95 times more likely to have been treated compared with females (95% CI 1.91 to 1.98; P<.0001); and body mass index, with those with obesity having a significantly increased likelihood of being treated with an LLA (adjusted odds ratio of 1.36, 95% CI 1.32 to 1.41; P<.0001). CONCLUSION: This study provides an updated look at the prevalence and treatment of dyslipidemia among Canadians. Half of patients aged 40 years or older have dyslipidemia, with an even higher prevalence observed among adults aged 65 years or older, males, and those with obesity or other chronic conditions. There are still gaps in treatment among those with documented dyslipidemia, principally among those calculated to have high or intermediate Framingham risk scores. Particular attention should also be paid to those at higher risk for not receiving treatment, including female patients and those within normal body mass index ranges.

De-identification of free text data containing personal health information: a scoping review of reviews.

Introduction: Using data in research often requires that the data first be de-identified, particularly in the case of health data, which often include Personal Identifiable Information (PII) and/or Personal Health Identifying Information (PHII). There are established procedures for de-identifying structured data, but de-identifying clinical notes, electronic health records, and other records that include free text data is more complex. Several different ways to achieve this are documented in the literature. This scoping review identifies categories of de-identification methods that can be used for free text data. Methods: We adopted an established scoping review methodology to examine review articles published up to May 9, 2022, in Ovid MEDLINE; Ovid Embase; Scopus; the ACM Digital Library; IEEE Explore; and Compendex. Our research question was: What methods are used to de-identify free text data? Two independent reviewers conducted title and abstract screening and full-text article screening using the online review management tool Covidence. Results: The initial literature search retrieved 3,312 articles, most of which focused primarily on structured data. Eighteen publications describing methods of de-identification of free text data met the inclusion criteria for our review. The majority of the included articles focused on removing categories of personal health information identified by the Health Insurance Portability and Accountability Act (HIPAA). The de-identification methods they described combined rule-based methods or machine learning with other strategies such as deep learning. Conclusion: Our review identifies and categorises de-identification methods for free text data as rule-based methods, machine learning, deep learning and a combination of these and other approaches. Most of the articles we found in our search refer to de-identification methods that target some or all categories of PHII. Our review also highlights how de-identification systems for free text data have evolved over time and points to hybrid approaches as the most promising approach for the future.

Patients' and caregivers' experiences of virtual care in a primary care setting during the COVID-19 pandemic: A patient-oriented research study.

Objective: This study explored patient and caregiver expectations and experiences of virtual primary care in Manitoba, Canada. This study focused on accessibility of care, acceptability and perceptions of quality from 'users' of primary healthcare services. Due to the rapid implementation of virtual primary care during the COVID-19 pandemic in Canada, patient/public input was largely bypassed. Methods: A mixed method was conducted in collaboration with Patient and Caregiver Community Advisors. Data was obtained from 696 surveys and 9 focus groups (n = 41 patients and caregivers). Results: Data suggest good acceptance of virtual visits, although considered a new experience despite almost exclusive use of the telephone. Participants preferred more input for choosing the type of visit but experienced less stress, time and inconvenience by using virtual care. There were mixed opinions of quality. More complex visits were associated with incomplete consultations and serve as one exemplar of the limitations due to lack of physical presence or contact. Unique communication skills were required to convey health concerns adequately and accurately. A more transactional approach was perceived from the lack of visual cues and the awkwardness associated with pauses during the phone conversation. Virtual care may be better used for certain circumstances but should encompass patient-centred decision making for when and how. Many expressed interests in video options; technology access and user ability are additional considerations for advancing virtual care. Conclusions: The experiences and recommendations from patients and caregivers provide an important contribution to decision-making and integrating and sustaining quality virtual care for patient-centered healthcare service delivery. Keywords: Virtual care experiences, primary care, patient-oriented research, mixed methods, COVID-19.

Temporal Trends in Practice Patterns After Introduction of Pediatric Hypertension Guidelines in Canada.

Importance: In 2016 and 2017, respectively, new Canadian and US guidelines for diagnosis and management of pediatric hypertension (HTN) were published. Six years after their publication, it is unknown whether the recommendations have led to changes in primary care practice patterns. Objectives: To determine whether HTN guidelines are associated with changes in practice patterns among primary care clinicians. Design, Setting, and Participants: This retrospective, multicenter, population-based cohort study was conducted across 3 phases: January 1, 2011, to December 31, 2015 (era 1), January 1, 2016, to December 31, 2017 (washout period), and January 1, 2018, to December 31, 2019 (era 2). Data were collected from 7 Canadian provinces using the Canadian Primary Care Sentinel Surveillance Network Electronic Medical Record database. Eligible participants included children and adolescents (aged ≥3 to <18 years) with 1 or more encounters in the database. Data analysis was conducted from February 2022 to February 2023. Exposure: Implementation of the 2016 Hypertension Canada and 2017 American Academy of Pediatrics guidelines. Main Outcomes and Measures: The primary outcomes were annual BP screening documentation, high BP follow-up documentation at 6 months and 1-year, HTN prevalence, laboratory testing rates, and medication prescription rates. Interrupted time series analysis was used to assess the association of the introduction of the Canadian and US guidelines with outcomes. Results: The study included 343 191 children and adolescents (mean [SD] age at first encounter, 6.7 (4.6) years; 173 290 female [50.5%]; 169 901 male [49.5%]), including 235 094 patients in era 1 and 193 473 patients in era 2. In era 1, 55 550 patients (23.6%) had at least 1 BP measurement, and in era 2, 45 006 patients (23.3%) had at least 1 BP measurement. There was a significant increase in BP screening in era 2 from 26 876 of 148 554 screenings (18.1%) to 28 556 of 141 192 screenings (20.2%; ß = 0.202; 95% CI, 0.009 to 0.390; P = .04), and the increasing trend was sustained. There was a significant decrease in the trend of follow-up of high BP measurement at 6 months (1265 of 4941 patients with BP measurements [25.6%] to 1718 of 7321 patients with BP measurements [23.5%]; ß = -0.490; 95% CI, -0.758 to -0.223; P = .001) and 1 year (1974 of 4941 measurements [40.0%] to 2314 of 7321 measurements [31.6%]; ß = -1.392; 95% CI, -1.573 to -1.212; P < .001) in era 2. The proportion of patients meeting HTN criteria significantly increased from 2540 of 55 550 patients (4.6%) in era 1 to 5690 of 45 006 patients (12.6%) in era 2 (ß = 0.0210; 95% CI, 0.0021 to 0.0410; P = .03). There was no significant change in the trend of laboratory testing rates in era 2 (949 of 4941 patients tested [19.2%] to 1149 of 7321 patients tested [15.7%]; ß = -0.159; 95% CI, -0.364 to 0.046; P = .12). The trend in prescribing of medications to patients with HTN also decreased in era 2 (1305 of 4941 patients prescribed medication [26.4%] to 1415 of 7321 patients prescribed medication [19.3%]; ß = -0.605; 95% CI, -0.830 to -0.358; P < .001). Conclusions and Relevance: The findings of this cohort study within the Canadian primary care setting suggest that there was a significant increase in BP screening and HTN prevalence after the publication of national and international HTN guidelines; however, the follow-up of high BP was still suboptimal. Increasing rates of pediatric HTN emphasize the need for better adherence to pediatric HTN guidelines to improve care and outcomes.

Risk Prediction Scores for Type 2 Diabetes Microvascular and Cardiovascular Complications Derived and Validated With Real-world Data From 2 Provinces: The DIabeteS COmplications (DISCO) Risk Scores.

OBJECTIVES: Existing tools to predict the risk of complications among people with type 2 diabetes poorly discriminate high- from low-risk patients. Our aim in this study was to develop risk prediction scores for major type 2 diabetes complications using real-world clinical care data, and to externally validate these risk scores in a different jurisdiction. METHODS: Using health-care administrative data and electronic medical records data, risk scores were derived using data from 25,088 people with type 2 diabetes from the Canadian province of Ontario, followed between 2002 and 2017. Scores were developed for major clinically important microvascular events (treatment for retinopathy, foot ulcer, incident end-stage renal disease), cardiovascular disease events (acute myocardial infarction, heart failure, stroke, amputation), and mortality (cardiovascular, noncardiovascular, all-cause). They were then externally validated using the independent data of 11,416 people with type 2 diabetes from the province of Manitoba. RESULTS: The 10 derived risk scores had moderate to excellent discrimination in the independent validation cohort, ranging from 0.705 to 0.977. Their calibration to predict 5-year risk was excellent across most levels of predicted risk, albeit with some displaying underestimation at the highest levels of predicted risk. CONCLUSIONS: The DIabeteS COmplications (DISCO) risk scores for major type 2 diabetes complications were derived and externally validated using contemporary real-world clinical data. As a result, they may be more accurate than other risk prediction scores derived using randomized trial data. The use of more accurate risk scores in clinical practice will help improve personalization of clinical care for patients with type 2 diabetes.

Development and validation of a case definition to estimate the prevalence and incidence of cirrhosis in pan-Canadian primary care databases.

Aims: To develop and validate case definitions to identify patients with cirrhosis and alcohol-related cirrhosis using primary care electronic medical records (EMRs) and to estimate cirrhosis prevalence and incidence in pan-Canadian primary care databases, between 2011 and 2019. Methods: A total of 689,301 adult patients were included with ≥1 visit to a primary care provider within the Canadian Primary Care Sentinel Study Network between January 1, 2017, and December 31, 2018. A subsample of 17,440 patients was used to validate the case definitions. Sensitivity, specificity, predictive values were calculated with their 95% CIs and then determined the population-level prevalence and incidence trends with the most accurate case definition. Results: The most accurate case definition included: ≥1 health condition, billing, or encounter diagnosis for International Classification of Diseases, Ninth Revision codes 571.2, 571.5, 789.59, or 571. Sensitivity (84.6; 95% CI 83.1%-86.%), specificity (99.3; 95% CI 99.1%-99.4%), positive predictive values (94.8; 95% CI 93.9%-95.7%), and negative predictive values (97.5; 95% CI 97.3%-97.7%). Application of this definition to the overall population resulted in a crude prevalence estimate of (0.46%; 95% CI 0.45%-0.48%). Annual incidence of patients with a clinical diagnosis of cirrhosis nearly doubled between 2011 (0.05%; 95% CI 0.04%-0.06%) and 2019 to (0.09%; 95% CI 0.08%-0.09%). Conclusions: The EMR-based case definition accurately captured patients diagnosed with cirrhosis in primary care. Future work to characterize patients with cirrhosis and their primary care experiences can support improvements in identification and management in primary care settings.

Patient values and preferences regarding communicating risk versus benefit of benzodiazepine initiation: A cross-sectional survey study.

Background and Aims: Communicating information about the risks and benefits of benzodiazepines so that it is meaningful to the patient has not been previously described. This study aims to determine patient preferences regarding information received before initiating a benzodiazepine. Methods: An online survey was distributed through social media and advertisements to Canadians ≥18 years old over a 6-month period (May-Oct 2022) to collect participant's rating of importance of statements and factors about the risk and benefits of benzodiazepines before initiating treatment using a 10-point Likert-type scale. Treatment preferences based on efficacy and risk information were also elicited. The survey was developed and pilot-tested in collaboration with an advisory committee of individuals with lived and living experience with benzodiazepine use. Results: Thirty-seven participants responded to the survey (mean age 30 years old, 81.1% identified as female). The majority of respondents had a history of anxiety (83.8%) or insomnia (32.4%), and 10 (27.0%) respondents had used a benzodiazepine. Patient counseling related to withdrawal symptoms of benzodiazepines, risk of harm in combination with other sedating agents, risk of physical and psychological dependence, and risk of effects on cognition were rated high in the importance of receiving this information before starting a benzodiazepine relative to efficacy endpoints, such as improvement in sleep parameters. When provided with information about the chance of efficacy and risk of harm, 100% would have selected cognitive behavioral therapy as the best treatment option. The most frequently reported source of medication information where patients have sought information was from the internet (25.0%), followed by doctors (21.9%) and pharmacists (18.8%). Conclusions: This study identified patient important factors and statements viewed as important to communicate before initiating a benzodiazepine. The findings of this survey study will help inform decision-making when considering treatment options for managing anxiety or insomnia.

Engineered antigen-binding fragments for enhanced crystallization of antibody:antigen complexes.

The atomic-resolution structural information that X-ray crystallography can provide on the binding interface between a Fab and its cognate antigen is highly valuable for understanding the mechanism of interaction. However, many Fab:antigen complexes are recalcitrant to crystallization, making the endeavor a considerable effort with no guarantee of success. Consequently, there have been significant steps taken to increase the likelihood of Fab:antigen complex crystallization by altering the Fab framework. In this investigation, we applied the surface entropy reduction strategy coupled with phage-display technology to identify a set of surface substitutions that improve the propensity of a human Fab framework to crystallize. In addition, we showed that combining these surface substitutions with previously reported Crystal Kappa and elbow substitutions results in an extraordinary improvement in Fab and Fab:antigen complex crystallizability, revealing a strong synergistic relationship between these sets of substitutions. Through comprehensive Fab and Fab:antigen complex crystallization screenings followed by structure determination and analysis, we defined the roles that each of these substitutions play in facilitating crystallization and how they complement each other in the process.

A Toxicokinetic-Toxicodynamic Modeling Workflow Assessing the Quality of Input Mortality Data.

Toxicokinetic-toxicodynamic (TKTD) models simulate organismal uptake and elimination of a substance (TK) and its effects on the organism (TD). The Reduced General Unified Threshold model of Survival (GUTS-RED) is a TKTD modeling framework that is well established for aquatic risk assessment to simulate effects on survival. The TKTD models are applied in three steps: parameterization based on experimental data (calibration), comparing predictions with independent data (validation), and prediction of endpoints under environmental scenarios. Despite a clear understanding of the sensitivity of GUTS-RED predictions to the model parameters, the influence of the input data on the quality of GUTS-RED calibration and validation has not been systematically explored. We analyzed the performance of GUTS-RED calibration and validation based on a unique, comprehensive data set, covering different types of substances, exposure patterns, and aquatic animal species taxa that are regularly used for risk assessment of plant protection products. We developed a software code to automatically calibrate and validate GUTS-RED against survival measurements from 59 toxicity tests and to calculate selected model evaluation metrics. To assess whether specific survival data sets were better suited for calibration or validation, we applied a design in which all possible combinations of studies for the same species-substance combination are used for calibration and validation. We found that uncertainty of calibrated parameters was lower when the full range of effects (i.e., from high survival to high mortality) was covered by input data. Increasing the number of toxicity studies used for calibration further decreased parameter uncertainty. Including data from both acute and chronic studies as well as studies under pulsed and constant exposure in model calibrations improved model predictions on different types of validation data. Using our results, we derived a workflow, including recommendations for the sequence of modeling steps from the selection of input data to a final judgment on the suitability of GUTS-RED for the data set. Environ Toxicol Chem 2024;43:197-210. © 2023 Bayer AG and The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

Introducing change management education program for family medicine residents: a demonstration project.

Implication Statement: The project presents an innovative mixed learning approach program to provide basic change management training for family medicine residents. Developed by a team of faculty experts in the Department of Family Medicine at the University of Manitoba, this three-to-four-hour training program provided residents an understanding of an approach to change management that systematically plans, implements, and evaluates new initiatives in healthcare settings. Students reported that change management is important for their success as healthcare professionals. This program could easily be replicated. Énoncé des implications de la recherche: Ce projet consiste en programme novateur fondé sur une approche d'apprentissage mixte visant à offrir une formation de base en gestion du changement aux résidents en médecine familiale. Élaborée par une équipe de professeurs experts du département de médecine familiale de l'Université du Manitoba, cette formation d'une durée de trois à quatre heures a permis aux résidents de se familiariser avec une approche de la gestion du changement qui consiste à planifier, à mettre en œuvre et à évaluer systématiquement de nouvelles initiatives en milieu clinique. Les étudiants estiment que la gestion du changement est un facteur important pour leur réussite en tant que professionnels de la santé. Ce programme peut aisément être reproduit ailleurs.