Understanding the impact of COVID-19 on antibiotic use in Canadian primary care: a matched-cohort study using EMR data
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ABSTRACT:
SUBMITTER: Morkem R
PROVIDER: S-EPMC11242630 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature
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Project description:BackgroundSuspected penicillin allergy (Pen-A) is often not verified by diagnostic testing. In third line penicillin allergy labels were associated with prescription of broad spectrum antibiotics, hospital stay duration and readmission.ObjectiveAssess the impact of Pen-A labels on antibiotic and health care use in primary care.MethodsA retrospective cohort study was conducted in primary care in the Utrecht area, the Netherlands. All patients registered with a penicillin allergy on 31 December 2013 were selected from the General Practitioner Network database. Each patient with a Pen-A label was matched for age, gender, follow-up period with three patients without Pen-A label. Risk (OR) of receiving a reserve and second choice antibiotic, number and type of antibiotics prescribed during follow-up and number of GP contacts were compared between the two cohorts.ResultsOf 196,440 patients, 1254 patients (0.6%) with a Pen-A label were identified and matched with 3756 patients without Pen-A label. Pen-A labels resulted in higher risk of receiving ≥1 antibiotic prescription per year (OR 2.56, 95% CI 2.05-3.20), ≥1 s choice antibiotic prescription per year (OR 2.21 95% CI 1.11-4.40), and ≥4 GP contacts per year (OR 1.71 95% CI 1.46-2.00). The chance of receiving tetracyclins (OR 2.24, 95% CI 1.29-3.89), macrolides/lincosamides/streptogamins (OR 8.69, 95% CI 4.26-17.73) and quinolones (OR 2.59, 95% CI 1.22-5.48) was higher in Pen-A patients.ConclusionsIn primary health care Pen-A labels are associated with increased antibiotic use, including second choice antibiotics, and more health care use.
| S-EPMC5461748 | biostudies-literature
Project description:Efforts to delabel penicillin allergic patients are important as the majority of suspected penicillin allergy can be ruled out by relevant allergy testing. The aim is to change the antibiotic pattern in delabeled patients to minimize use of unnecessary broad-spectrum antibiotics, reducing the risk of antimicrobial resistance and making treatment more cost effective. However, published information on subsequent antibiotic use is scarce. To evaluate the effect of delabeling on subsequent antibiotic use in primary care, a cohort of 2911 patients tested for penicillin allergy was compared to a matched control group of 14,522 individuals from the background population. In total 86.4% of the tested patients were delabeled. For delabeled patients, penicillin use increased from 0.07 prescriptions per patient year before allergy investigation, to 0.53 prescriptions per patient year post investigation (p < 0.001). The use of fluoroquinolones and macrolides was reduced and reached a level comparable to the background population. This study shows that penicillin allergy delabeling has significant positive impact on subsequent antibiotic use in primary care, and that penicillin use increases to levels similar to the background population. Penicillin allergy delabeling should be prioritized as an important and efficient element in antimicrobial stewardship initiatives.
| S-EPMC11388693 | biostudies-literature
Project description:BackgroundBuilding and validating electronic algorithms to identify patients with specific disease profiles using health data is becoming increasingly important to disease surveillance and population health management. The aim of this study was to develop and validate an algorithm to find patients with ADHD diagnoses within primary care electronic medical records (EMR); and then use the algorithm to describe the epidemiology of ADHD from 2008 to 2015 in a Canadian Primary care sample.MethodsThis was a cross sectional time series that used data from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN), a repository of primary care EMR data. A sample of electronic patient charts from one local clinic were manually reviewed to determine the positive predictive value (PPV) and negative predictive value (NPV) of an ADHD case-finding algorithm. In each study year a practice population was determined, and the algorithm was used to measure an observed prevalence of ADHD. The observed prevalence was adjusted for misclassification, as measured by the validity indices, to obtain an estimate of the true prevalence. Estimates were calculated by age group (4-17 year olds, 18 to 34 year olds, and 35 to 64 year olds) and gender, and compared over time.ResultsThe EMR algorithm had a PPV of 98.0% (95% CI [92.5, 99.5]) and an NPV of 95.0% (95% CI [92.9, 98.6]). After adjusting for misclassification, it was determined that the prevalence of patients with a clinical diagnosis of ADHD has risen in all age groups between 2008 and 2015, most notably in children and young adults (6.92, 95% CI [5.62, 8.39] to 8.57, 95% CI [7.32, 10.00]; 5.73, 95% CI [4.40, 7.23] to 7.33, 95% CI [6.04, 8.78], respectively). The well-established gender gap persisted in all age groups across time but was considerably smaller in older adults compared to children and young adults.ConclusionOverall, the ADHD case-finding algorithm was found to be a valid tool to assess the epidemiology of ADHD in Canadian primary care practice. The increased prevalence of ADHD between 2008 and 2015 may reflect an improvement in the recognition and treatment of this disorder within primary care.
| S-EPMC7370518 | biostudies-literature
Project description:ObjectivesTo compare the rate, indications and type of antibiotic prescriptions in children with and without asthma.DesignA retrospective cohort study.SettingTwo population-based primary care databases: Integrated Primary Care Information database (IPCI; the Netherlands) and The Health Improvement Network (THIN; the UK).ParticipantsChildren aged 5-18 years were included from January 2000 to December 2014. A child was categorised as having asthma if there were ≥2 prescriptions of respiratory drugs in the year following a code for asthma. Children were labelled as non-asthmatic if no asthma code was recorded in the patient file.Main outcome measuresRate of antibiotic prescriptions, related indications and type of antibiotic drugs.ResultsThe cohorts in IPCI and THIN consisted of 946 143 and 7 241 271 person years (PY), respectively. In both cohorts, antibiotic use was significantly higher in asthmatic children (IPCI: 197vs126 users/1000 PY, THIN: 374vs250 users/1000 PY). In children with asthma, part of antibiotic prescriptions were for an asthma exacerbation only (IPCI: 14%, THIN: 4%) and prescriptions were more often due to lower respiratory tract infections then in non-asthmatic children (IPCI: 18%vs13%, THIN: 21%vs12%). Drug type and quality indicators depended more on age, gender and database than on asthma status.ConclusionsUse of antibiotics was higher in asthmatic children compared with non-asthmatic children. This was mostly due to diseases for which antibiotics are normally not indicated according to guidelines. Further awareness among physicians and patients is needed to minimise antibiotic overuse and limit antibiotic resistance.
| S-EPMC6278808 | biostudies-literature
Project description:AimsSystematic Coronary Risk Evaluation Model 2 (SCORE2) was recently developed to predict atherosclerotic cardiovascular disease (ASCVD) in Europe. Whether these models could be used outside of Europe is not known. The objective of this study was to test the validity of SCORE2 in a large Canadian cohort.Methods and resultsA primary care cohort of persons with routinely collected electronic medical record data from 1 January 2010 to 31 December 2014, in Ontario, Canada, was used for validation. The SCORE2 models for younger persons (YP) were applied to 57 409 individuals aged 40-69 while the models for older persons (OPs) were applied to 9885 individuals 70-89 years of age. Five-year ASCVD predictions from both the uncalibrated and low-risk region recalibrated SCORE2 models were evaluated. The C-statistic for SCORE2-YP was 0.74 in women and 0.69 in men. The uncalibrated SCORE2-YP overestimated risk by 17% in women and underestimated by 2% in men. In contrast, the low-risk region recalibrated model demonstrated worse calibration, overestimating risk by 100% in women and 36% in men. The C-statistic for SCORE2-OP was 0.64 and 0.62 in older women and men, respectively. The uncalibrated SCORE2-OP overestimated risk by more than 100% in both sexes. The low-risk region recalibrated model demonstrated improved calibration but still overestimated risk by 60% in women and 13% in men.ConclusionThe performance of SCORE2 to predict ASCVD risk in Canada varied by age group and depended on whether regional calibration was applied. This underscores the necessity for validation assessment of SCORE2 prior to implementation in new jurisdictions.
| S-EPMC11025037 | biostudies-literature
Project description:Background: As desensitization protocols become more readily available and published, more institutions are implementing them and searching for ways to streamline the process. There have been no published studies to date on the effect that electronic medical record systems (EMR) have on the safety and efficiency of β-lactam antibiotic desensitization. Objective: The purpose of this study was to evaluate the changes in workflow, efficiency, and medical errors after implementation of β-lactam antibiotic desensitization. Methods: A collaborative effort between the Allergy/Immunology Division and the Pharmacy Department led to the creation and implementation of antibiotic desensitization order sets. Pre- and postimplementation of β-lactam antibiotic surveys were sent to pharmacists and allergy/immunology fellows and attendings at a single-center tertiary care center. Results: There were only 26 valid respondents (12.3%) to both the pre- and postimplementation surveys. The percentage of respondents who thought that the time needed to prepare desensitization materials was < 4 hours increased from 23% to 77% (p < 0.001). The percentage of respondents who thought that the time needed to input electronic desensitization orders was < 1 hour increased from 19% to 54% (p = 0.002). The percentage of respondents who identified zero errors increased from 42% to 92% (p = 0.001). The perception of the overall desensitization process efficiency significantly increased (p < 0.001). Conclusion: Creation of standardized electronic β-lactam antibiotic desensitization order sets significantly decreased the time taken to order and prepare materials and increased overall efficiency.
| S-EPMC8133017 | biostudies-literature
Project description:ObjectiveTo describe the citation impact and characteristics of Canadian primary care researchers and research publications.DesignCitation analysis.SettingCanada.ParticipantsA total of 266 established Canadian primary care researchers.Main outcome measuresThe 50 most cited primary care researchers in Canada were identified by analyzing data from the Scopus database. Various parameters, including the number of publications and citations, research themes, Scopus h index, content analysis, journal impact factors, and field-weighted citation impact for their publications, were assessed. Information about the characteristics of these researchers was collected using the Google search engine.ResultsOn average, the 50 most cited primary care researchers produced 51.1 first-author publications (range 13 to 249) and were cited 1864.32 times (range 796 to 9081) over 29 years. Twenty-seven publications were cited more than 500 times. More than half of the researchers were men (60%). Most were clinician scientists (86%) with a primary academic appointment in family medicine (86%) and were affiliated with 5 universities (74%). Career duration was moderately associated with the number of first-author publications (0.35; P=.013). Most research focused on family practice, while some addressed health and health care issues (eg, continuing professional education, pharmaceutical policy).ConclusionCanada is home to a cadre of primary care researchers who are highly cited in the medical literature, suggesting that their work is of high quality and relevance. Building on this foundation, further investments in primary care research could accelerate needed improvements in Canadian primary care policy and practice.
| S-EPMC11280635 | biostudies-literature
Project description:BackgroundChronic obstructive pulmonary disease (COPD) is mostly managed within primary care, but there is little Canadian evidence from this setting. This study was undertaken to determine the prevalence of physician-diagnosed COPD in primary care practices, and the degree of comorbidity with other chronic conditions, and to assess patterns of medication prescribing.MethodsThe Canadian Primary Care Sentinel Surveillance Network is a national "network of networks" whose member practices use electronic medical records (EMRs). At the time of the study, it included data from 444 physicians from 10 networks in 8 provinces. We conducted an epidemiologic cohort study of all patients who had EMR data collected by the network at the end of 2012. Validated case-finding algorithms were used to identify cases of COPD. We used descriptive statistics and multivariate modelling analyses to calculate the prevalence of COPD, its association with key demographic factors and comorbidities, and patterns of medication prescribing.ResultsThe observed prevalence of COPD was 4.0% (10 043/250 346), which represents a population prevalence of 3.4% using age-sex standardization. Comorbidity was common, with prevalence ratios ranging from 1.1 for the presence of a single comorbid condition to 1.9 for 4 or more comorbid conditions. Anticholinergic agents (63%), short- (48%) and long-acting (38%) β-agonists and inhaled corticosteroids (41%) were the most commonly used medications.InterpretationThe prevalence of physician-diagnosed COPD in Canadian primary care practices was similar to that reported in other practice-based studies at about 3%-4%. Most patients had comorbid conditions and were taking multiple medications. EMR data may be useful to assess both the epidemiology and management of COPD in primary care practices.
| S-EPMC4382041 | biostudies-literature
Project description:BackgroundElectronic Medical Records (EMRs) are a rich data source to measure and improve quality of care. As Canadian primary health care (PHC) EMRs mature, there is increasing potential use of EMR data for performance measurement. This study identifies and describes current uses of EMR data for performance measurement and considerations to further its potential in the Canadian context.MethodsWe applied a qualitative case study design and descriptive assessment in three phases, consulting multiple data sources including scientific and grey literature, system leaders (n = 41), and clinician/researchers (n = 20). Phases included a multimethod approach to identify initiatives using EMR data for performance measurement across Canadian jurisdictions; in-depth review of current initiatives identified from a healthcare performance intelligence lens; and triangulation and thematic analysis across data sources to explore considerations for advancing performance measurement uses of EMR data in the Canadian context.ResultsSix initiatives of EMR data use for performance measurement were identified: one multi-jurisdictional; five jurisdiction-specific in the provinces of British Columbia, Manitoba and Ontario. EMR data uses were predominately for micro-level PHC physician and team performance improvement, with some use for meso-level organization/network-wide improvement. Indicator sets varied in number, though shared emphasis on chronic disease management and prevention/screening and to a lesser extent medication management. Key considerations for governing, resourcing and implementing EMR data for performance measurement were identified.ConclusionsThe extent of EMR data use for performance measurement varies across Canada. To further its potential, pan-Canadian data and privacy standards, performance intelligence competencies and renewed core PHC indicators should be prioritized. Experiences across countries, coupled with increasing momentum for performance measurement using real-world data, should be leveraged to avoid unnecessarily slow progress in Canada and abroad.
| S-EPMC8364440 | biostudies-literature
Project description:BackgroundOsteoarthritis is a common chronic condition that affects many older Canadians and is a considerable cause of disability. Our objective was to describe the epidemiology of osteoarthritis in patients aged 30 years and older using electronic medical records (EMRs) in a Canadian primary care population.MethodsIn this retrospective cohort study, we analyzed the EMRs of 207 610 patients over 30 years of age (extracted on December 31, 2012) who had at least one clinic visit during the preceding 2 years. We calculated the age-sex standardized prevalence of diagnosed osteoarthritis and its association with comorbidities and covariates available in the Canadian Primary Care Sentinel Surveillance Network database.ResultsThe estimated prevalence of diagnosed osteoarthritis was 14.2% (15.6% among women, 12.4% among men). The diagnosis of osteoarthritis was associated with several comorbidities: hypertension (prevalence ratio [PR] 1.17, 95% confidence interval [CI] 1.15-1.18), depression (PR 1.26, 95% CI 1.22-1.3), chronic obstructive pulmonary disease (COPD) (PR 1.16, 95% CI 1.11-1.21) and epilepsy (PR 1.27, 95% CI 1.13-1.43). In addition, 56.6% of patients had received a prescription for a range of nonsteroidal anti-inflammatory drugs, 45% of which were topical. Opioid medications were prescribed to 33% of patients for pain management.ConclusionOsteoarthritis is a common disease in middle-aged and older Canadians. It is more common in women than in men and is associated with comorbid conditions. Most patients with osteoarthritis received pharmacotherapy for inflammation and pain management. As the Canadian population ages, osteoarthritis will become an increasing burden for individuals and the health care system.
| S-EPMC4593417 | biostudies-literature