Abstract Using data for 20,912 patients from two large academic health systems, we analyzed the frequency of SARS-CoV-2 RT-PCR test-discordance among individuals initially testing negative by nasopharyngeal swab who were retested on clinical grounds within 7 days. The frequency of subsequent positivity within this window was 3.5% and similar across institutions.

BackgroundRespondent fatigue, also known as survey fatigue, is a common problem in the collection of survey data. Factors that are known to influence respondent fatigue include survey length, survey topic, question complexity, and open-ended question type. There is a great deal of interest in understanding the drivers of physician survey responsiveness due to the value of information received from these practitioners. With the recent explosion of mobile smartphone technology, it has been possible to obtain survey data from users of mobile applications (apps) on a question-by-question basis. The author obtained basic demographic survey data as well as survey data related to an anesthesiology-specific drug called sugammadex and leveraged nonresponse rates to examine factors that influenced respondent fatigue.MethodsPrimary data were collected between December 2015 and February 2017. Surveys and in-app analytics were collected from global users of a mobile anesthesia calculator app. Key independent variables were user country, healthcare provider role, rating of importance of the app to personal practice, length of time in practice, and frequency of app use. Key dependent variable was the metric of respondent fatigue.ResultsProvider role and World Bank country income level were predictive of the rate of respondent fatigue for this in-app survey. Importance of the app to the provider and length of time in practice were moderately associated with fatigue. Frequency of app use was not associated. This study focused on a survey with a topic closely related to the subject area of the app. Respondent fatigue rates will likely change dramatically if the topic does not align closely.DiscussionAlthough apps may serve as powerful platforms for data collection, responses rates to in-app surveys may differ on the basis of important respondent characteristics. Studies should be carefully designed to mitigate fatigue as well as powered with the understanding of the respondent characteristics that may have higher rates of respondent fatigue.

Approximately 1 of every 300 children in the United States has type 1 diabetes mellitus (T1D), and these patients may require anesthetics for a variety of procedures. Perioperative coordination is complex, and attention to perioperative fasting, appropriate insulin administration, and management of hypo- and hyperglycemia, as well as other metabolic abnormalities, is required. Management decisions may be impacted by the patient’s baseline glycemic control and home insulin regimen, the type of procedure being performed, and expected postoperative recovery. If possible, preoperative planning with input from the patient’s endocrinologist is considered best practice. A multi-institutional working group was formed by the Society for Pediatric Anesthesia Quality and Safety Committee to review current guidelines in the endocrinology and anesthesia literature and provide recommendations to anesthesiologists caring for pediatric patients with T1D in the perioperative setting. Recommendations for preoperative evaluation, glucose monitoring, insulin administration, fluid management, and postoperative management are discussed, with particular attention to increasingly prevalent insulin pumps and continuous glucose monitoring (CGM).

BackgroundThe rapid global adoption of mobile health (mHealth) smartphone apps by healthcare providers presents challenges and opportunities in medicine. Challenges include ensuring the delivery of high-quality, up-to-date and optimised information. Opportunities include the ability to study global practice patterns, access to medical and surgical care and continuing medical education needs.MethodsWe studied users of a free anaesthesia calculator app used worldwide. We combined traditional app analytics with in-app surveys to collect user demographics and feedback.Results31 173 subjects participated. Users were from 206 countries and represented a spectrum of healthcare provider roles. Low-income country users had greater rates of app use (p<0.001) and ascribed greater importance of the app to their practice (p<0.001). Physicians from low-income countries were more likely to adopt the app (p<0.001). The app was used primarily for paediatric patients. The app was used around the clock, peaking during times typical for first start cases.ConclusionsThis mHealth app is a valuable decision support tool for global healthcare providers, particularly those in more resource-limited settings and with less training. App adoption and use may provide a mechanism for measuring longitudinal changes in access to surgical care and engaging providers in resource-limited settings. In-app surveys and app analytics provide a window into healthcare provider behaviour at a breadth and level of detail previously impossible to achieve. Given the potentially immense value of crowdsourced information, healthcare providers should be encouraged to participate in these types of studies.

BackgroundSepsis is an established global health priority with high mortality that can be curtailed through early recognition and intervention; as such, efforts to raise awareness are potentially impactful and increasingly common. We sought to characterize trends in the awareness of sepsis by examining temporal, geographic, and other changes in search engine utilization for sepsis information-seeking online.MethodsUsing time series analyses and mixed descriptive methods, we retrospectively analyzed publicly available global usage data reported by Google Trends (Google, Palo Alto, CA, USA) concerning web searches for the topic of sepsis between 24 June 2012 and 24 June 2017. Google Trends reports aggregated and de-identified usage data for its search products, including interest over time, interest by region, and details concerning the popularity of related queries where applicable. Outlying epochs of search activity were identified using autoregressive integrated moving average modeling with transfer functions. We then identified awareness campaigns and news media coverage that correlated with epochs of significantly heightened search activity.ResultsA second-order autoregressive model with transfer functions was specified following preliminary outlier analysis. Nineteen significant outlying epochs above the modeled baseline were identified in the final analysis that correlated with 14 awareness and news media events. Our model demonstrated that the baseline level of search activity increased in a nonlinear fashion. A recurrent cyclic increase in search volume beginning in 2012 was observed that correlates with World Sepsis Day. Numerous other awareness and media events were correlated with outlying epochs. The average worldwide search volume for sepsis was less than that of influenza, myocardial infarction, and stroke.ConclusionsAnalyzing aggregate search engine utilization data has promise as a mechanism to measure the impact of awareness efforts. Heightened information-seeking about sepsis occurs in close proximity to awareness events and relevant news media coverage. Future work should focus on validating this approach in other contexts and comparing its results to traditional methods of awareness campaign evaluation.Electronic supplementary materialThe online version of this article (10.1186/s13054-017-1914-8) contains supplementary material, which is available to authorized users.

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The use of extracorporeal membrane oxygenation (ECMO) has grown rapidly in recent years. We sought to describe the rate of ECMO use in the United States, regional variation in ECMO use, the hospitals performing ECMO, and the primary payers for ECMO patients. Detailed data were obtained using the Healthcare Cost and Utilization Project (HCUPnet) summaries of State Inpatient Databases from 34 participating states for the years 2011–2014. The ECMO rates over time were modeled, overall and within subcategories of age group, bed size, hospital ownership, teaching status, and payer type. During the study period, the overall rate of ECMO use increased from 1.06 (1.01, 1.12) to 1.77 (1.72, 1.82) cases per 100,000 persons per year (p = 0.005). The rate of ECMO use varied significantly by region. Most ECMO patients are cared for at large hospitals, and at private, not-for-profit hospitals with teaching designation. The most common payer was private insurance; a minority of patient were uninsured. The use of ECMO increased significantly during the study period, but regional variation in the rate of ECMO use suggests that this technology is not being uniformly applied. Further research is warranted to determine why differences in ECMO use persist and what impact they have on patient outcomes.