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ObjectiveTo quantify the impact and recovery in cardiovascular disease monitoring in primary care associated with the first COVID-19 lockdown. DesignRetrospective nationwide primary care cohort study, utilising data from 1st January 2018 to 27th September 2020. SettingWe extracted primary care electronic health records data from 514 primary care practices in England contributing to the Oxford Royal College of General Practitioners Clinical Informatics Digital Hub (ORCHID). These practices were representative of English primary care across urban and non-urban practices. ParticipantsThe ORCHID database included 6,157,327 active patients during the study period, and 13,938,390 patient years of observation (final date of follow-up 27th September 2020). The mean (SD) age was 38{+/-}24 years, 49.4% were male and the majority were of white ethnicity (65% [21.9% had unknown ethnicity]) ExposureThe primary exposure was the first national lockdown in the UK, starting on 23rd March 2020. Main outcome measuresRecords of cholesterol, blood pressure, HbA1c and International Normalised Ratio (INR) measurement derived from coded entries in the primary care electronic health record. ResultsRates of cholesterol, blood pressure, HbA1c and INR recording dropped by 23-87% in the week following the first UK national lockdown, compared with the previous week. The largest decline was seen in cholesterol (IRR 0.13, 95% CI 0.11 to 0.15) and smallest for INR (IRR 0.77, 95% CI 0.72 to 0.81). Following the immediate drop, rates of recorded tests increased on average by 5-9% per week until 27th September 2020. However, the number of recorded measures remained below that expected for the time of year, reaching 51.8% (95% CI 51.8 to 51.9%) for blood pressure, 63.7%, (95% CI 63.7% to 63.8%) for cholesterol measurement and 70.3% (95% CI 70.2% to 70.4%) for HbA1c. Rates of INR recording declined throughout the previous two years, a trend that continued after lockdown. There were no differences in the times series trends based on sex, age, ethnicity or deprivation. ConclusionsCardiovascular disease monitoring in English primary care declined substantially from the time of the first UK lockdown. Despite a consistent recovery in activity, there is still a substantial shortfall in the numbers of recorded measurements to those expected. Strategies are required to ensure cardiovascular disease monitoring is maintained during the COVID-19 pandemic.
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IntroductionEpidemiological and laboratory research seems to suggest that smoking and perhaps nicotine alone could reduce the severity of COVID-19. Likewise, there is some evidence that inhaled corticosteroids could also reduce its severity, opening the possibility that nicotine and inhaled steroids could be used as treatments. MethodsIn this prospective cohort study, we will link English general practice records from the QResearch database to Public Health Englands database of SARS-CoV-2 positive tests, Hospital Episode Statistics, admission to intensive care units, and death from COVID-19 to identify our outcomes: hospitalisation, ICU admission, and death due to COVID. Using Cox regression, we will perform sequential adjustment for potential confounders identified by separate directed acyclic graphs to: O_LIAssess the association between smoking and COVID-19 disease severity, and how that changes on adjustment for smoking-related comorbidity. C_LIO_LIMore closely characterise the association between smoking and severe COVID-19 disease by assessing whether the association is modified by age (as a proxy of length of smoking), gender, ethnic group, and whether people have asthma or COPD. C_LIO_LIAssess for evidence of a dose-response relation between smoking intensity and disease severity, which would help create a case for causality. C_LIO_LIExamine the association between former smokers who are using NRT or are vaping and disease severity. C_LIO_LIExamine whether pre-existing respiratory disease is associated with severe COVID-19 infection. C_LIO_LIAssess whether the association between chronic obstructive pulmonary disease (COPD) and asthma and COVID-19 disease severity is modified by age, gender, ethnicity, and smoking status. C_LIO_LIAssess whether the use of inhaled corticosteroids is associated with severity of COVID-19 disease. C_LIO_LITo assess whether the association between use of inhaled corticosteroids and severity of COVID-19 disease is modified by the number of other airways medications used (as a proxy for severity of condition) and whether people have asthma or COPD. C_LI ConclusionsThis representative population sample will, to our knowledge, present the first comprehensive examination of the association between smoking, nicotine use without smoking, respiratory disease, and severity of COVID-19. We will undertake several sensitivity analyses to examine the potential for bias in these associations.
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BACKGROUND: The transition to the electronic health record (EHR) has brought forth a rapid cultural shift in the world of medicine, presenting both new challenges as well as opportunities for improving health care. As clinicians work to adapt to the changes imposed by the EHR, identification of best practices around the clinically excellent use of the EHR is needed. OBJECTIVE: Using the domains of clinical excellence previously defined by the Johns Hopkins Miller Coulson Academy of Clinical Excellence, this review aims to identify best practices around the clinically excellent use of the EHR. METHODS: The authors searched the PubMed database, using keywords related to clinical excellence domains and the EHR, to capture the English-language, peer-reviewed literature published between January 1, 2000, and August 2, 2016. One author independently reviewed each article and extracted relevant data. RESULTS: The search identified 606 titles, with the majority (393/606, 64.9%) in the domain of communication and interpersonal skills. Twenty-eight of the 606 (4.6%) titles were excluded from full-text review, primarily due to lack of availability of the full-text article. The remaining 578 full-text articles reviewed were related to clinical excellence generally (3/578, 0.5%) or the specific domains of communication and interpersonal skills (380/578, 65.7%), diagnostic acumen (31/578, 5.4%), skillful negotiation of the health care system (4/578, 0.7%), scholarly approach to clinical practice (41/578, 7.1%), professionalism and humanism (2/578, 0.4%), knowledge (97/578, 16.8%), and passion for clinical medicine (20/578, 3.5%). CONCLUSIONS: Results suggest that as familiarity and expertise are developed, clinicians are leveraging the EHR to provide clinically excellent care. Best practices identified included deliberate physical configuration of the clinical space to involve sharing the screen with patients and limiting EHR use during difficult and emotional topics. Promising horizons for the EHR include the ability to augment participation in pragmatic trials, identify adverse drug effects, correlate genomic data to clinical outcomes, and follow data-driven guidelines. Clinician and patient satisfaction with the EHR has generally improved with time, and hopefully continued clinician, and patient input will lead to a system that satisfies all.
