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The public and patients can be powerful sensors for shaping and powering healthcare research. They are joining research teams as investigators and collaborators to co-produce evidence for the practical use of interventions in clinical practice. While clinicians and researchers are encouraged by funders and policymakers to involve the public and patients as partners in research, knowledge on what involvement consists of is limited, and the continuum between consultation, collaboration and co-production are not clearly defined. In this article, we explore Patient and Public Involvement (PPI) and introduce greater involvement through research co-production. Co-production describes ways that research partnership can work through public and patient involvement and we outline the similarities of co-production to "The Commons", a strategy utilized by economists to increase effective use of resources. We share examples of how public and patient involvement have used co-production, to demonstrate financial and health benefits. We then outline practical challenges at system, social and cultural levels and consider how others have worked to resolve them. [Abstract copyright: Copyright © 2021 Elsevier B.V. All rights reserved.]

Objective:The coronavirus disease 2019 (COVID-19) pandemic has resulted in shortages of personal protective equipment (PPE), underscoring the urgent need for simple, efficient, and inexpensive methods to decontaminate masks and respirators exposed to severe acute respiratory coronavirus virus 2 (SARS-CoV-2). We hypothesized that methylene blue (MB) photochemical treatment, which has various clinical applications, could decontaminate PPE contaminated with coronavirus.Design:The 2 arms of the study included (1) PPE inoculation with coronaviruses followed by MB with light (MBL) decontamination treatment and (2) PPE treatment with MBL for 5 cycles of decontamination to determine maintenance of PPE performance.Methods:MBL treatment was used to inactivate coronaviruses on 3 N95 filtering facepiece respirator (FFR) and 2 medical mask models. We inoculated FFR and medical mask materials with 3 coronaviruses, including SARS-CoV-2, and we treated them with 10 µM MB and exposed them to 50,000 lux of white light or 12,500 lux of red light for 30 minutes. In parallel, integrity was assessed after 5 cycles of decontamination using multiple US and international test methods, and the process was compared with the FDA-authorized vaporized hydrogen peroxide plus ozone (VHP+O3) decontamination method.Results:Overall, MBL robustly and consistently inactivated all 3 coronaviruses with 99.8% to >99.9% virus inactivation across all FFRs and medical masks tested. FFR and medical mask integrity was maintained after 5 cycles of MBL treatment, whereas 1 FFR model failed after 5 cycles of VHP+O3.Conclusions:MBL treatment decontaminated respirators and masks by inactivating 3 tested coronaviruses without compromising integrity through 5 cycles of decontamination. MBL decontamination is effective, is low cost, and does not require specialized equipment, making it applicable in low- to high-resource settings.

Medical education, research, and health care practice continue to grow with minimal coproduction guidance. We suggest the Commons Principle approach to medical education as modeled by Ostrom and Williamson, where we share how adapting these models to multiple settings can enhance empathy, increase psychological safety, and provide robust just-in-time learning tools for practice. We here describe patient and public coproduction in diverse areas within health care using the commons philosophy across populations, cultures, and generations with learning examples across age groups and cultures. We further explore descriptive, mixed methods participatory action in medical and research education. We adopt an “Everyone Included” perspective and sought to identify its use in continuing medical education, citizen science, marginalized groups, publishing, and student internships. Overall, we outline coproduction at the point of need, as we report on strategies that improved engagement. This work demonstrates coproduction with the public across multiple settings and cultures, showing that even with minimal resources and experience, this partnership can improve medical education and care.

Both patients and providers in the United States (US) suffer from burnout, which can impact the clinical relationship and quality of care. Among providers, burnout is a state of exhaustion including heightened depersonalization; among patients, burnout can negatively affect clinical outcomes. More than half of clinical providers in the United States suffer from burnout; less is known about the magnitude and prevalence among patients. Understanding patient burnout will improve our recognition of treatment barriers, understanding of patient-provider communication, and perceived quality of care. The purpose of the 2019 Stanford University MedicineX Burnout Workgroup was to use a collaborative approach to expand on the National Academy of Medicine (NAM) Wellness and Resilience Model, which does not currently include the patient as an influential member of the care team potentially experiencing burnout. This collaboration among patients, physicians, students, caregivers, technologists, and researchers used a convenience sample of conference attendees, broken into three focus groups to (1) provide an expanded definition of burnout that includes patients' perspectives, (2) analyze the NAM burnout model for inclusion of the patient experience, and (3) define a care experience that includes both patients and providers. The design of this workgroup was informed by Everyone Included, a model that recognizes and rejects hierarchical traditions in clinical practice. This approach allowed for the creation of a safe space for the exchange of knowledge between the various stakeholders. The resulting inclusive conceptual model, The Burnout Dyad, describes a cocreated care experience informed by both patient and provider characteristics.

BACKGROUND Twitter in anesthesiology conferences promotes rapid science dissemination, global audience participation, and real-time updates of simultaneous sessions. We designed this study to determine if an association exists between conference attendance/registration and 4 defined Twitter metrics. METHODS Using publicly available data through the Symplur Healthcare Hashtags Project and the Symplur Signals, we collected data on total tweets, impressions, retweets, and replies as 4 primary outcome metrics for all registered anesthesiology conferences occurring from May 1, 2016 to April 30, 2017. The number of Twitter participants, defined as users who contributed a tweet, retweet, or reply 3 days before through 3 days after the conference, was collected. We also collected influencer data as determined by mentions (number of times a user is referenced). Two authors independently verified the categories for influencers assigned by Symplur. Conference demographic data were obtained by e-mail inquiries. Associations between meeting attendees/registrants and Twitter metrics, between Twitter participants and the metrics, and between physician influencers and Twitter participants were tested using Spearman rho. RESULTS Fourteen conferences with 63,180 tweets were included. With the American Society of Anesthesiologists annual meeting included, the correlations between meeting attendance/registration and total tweets (rs = 0.588; P = .074), impressions (rs = 0.527; P = .117), and retweets (rs = 0.539; P = .108) were not statistically significant; for replies, it was moderately positive (rs = 0.648; P = .043). Without the American Society of Anesthesiologists annual meeting, total tweets (rs = 0.433; P = .244), impressions (rs = 0.350; P = .356), retweets (rs = 0.367; P = .332), and replies (rs = 0.517; P = .154) were not statistically significant. Secondary outcomes include a highly positive correlation between Twitter participation and total tweets (rs = 0.855; P < .001), very highly positive correlations between Twitter participation and impressions (rs = 0.938; P < .001), retweets (rs = 0.925; P < .001), and a moderately positive correlation between Twitter participation and replies (rs = 0.652; P = .044). Doctors were top influencers in 8 of 14 conferences, and the number of physician influencers in the top 10 influencers list at each conference had a moderately positive correlation with Twitter participation (rs = 0.602; P = .023). CONCLUSIONS We observed that the number of Twitter participants for a conference is positively associated with Twitter activity metrics. No relationship between conference size and Twitter metrics was observed. Physician influencers may be an important driver of participants.

BACKGROUND Expressing empathy builds trust with patients, increases patient satisfaction, and is associated with better health outcomes. Research shows that expressing empathy to patients improves patient adherence to medications and decreases patient anxiety and the number of malpractice lawsuits. However, there is a dearth of research on teaching empathy to premedical students. The Clinical Science, Technology, and Medicine Summer Internship of Stanford Medicine (also called the Stanford Anesthesia Summer Institute) is a 2-week collaborative medical internship for high school and undergraduate students to inspire learners to be compassionate health care providers. The summer 2020 program was adapted to accomplish these objectives in a fully remote environment because of the COVID-19 global pandemic. OBJECTIVE This study aims to measure the change in empathy and competencies of participants in clinical and communication skills before and after program participation. METHODS A total of 41 participants completed only the core track of this program, and 39 participants completed the core + research track of this program. Participants in both tracks received instructions in selected clinical skills and interacted directly with patients to improve their interviewing skills. Research track participants received additional instructions in research methodology. All participants completed web-based pre- and postsurveys containing Knowledge and Skills Assessment (KSA) questions. Participant empathy was assessed using the validated Consultation and Relational Empathy measure. A subset of participants completed optional focus groups to discuss empathy. The pre- and post-KSA and Consultation and Relational Empathy measure scores were compared using paired 2-tailed t tests and a linear regression model. Open-ended focus group answers were then analyzed thematically. RESULTS Participants in both tracks demonstrated significant improvement in empathy after the 2-week remote learning course (P=.007 in core track; PPPPPPPPP=.05 in research track). The core track participants also showed significant improvements in health communication skills (P=.001). Qualitative analysis yielded 3 themes: empathy as action, empathy as a mindset, and empathy in designing health care systems. CONCLUSIONS Summer internships that introduce high school and undergraduate students to the field of health care through hands-on interaction and patient involvement may be an effective way to develop measurable empathy skills when combined with clinical skills training and mentorship. Notably, increases in empathy were observed in a program administered via a remote learning environment.

Background Expressing empathy builds trust with patients, increases patient satisfaction, and is associated with better health outcomes. Research shows that expressing empathy to patients improves patient adherence to medications and decreases patient anxiety and the number of malpractice lawsuits. However, there is a dearth of research on teaching empathy to premedical students. The Clinical Science, Technology, and Medicine Summer Internship of Stanford Medicine (also called the Stanford Anesthesia Summer Institute) is a 2-week collaborative medical internship for high school and undergraduate students to inspire learners to be compassionate health care providers. The summer 2020 program was adapted to accomplish these objectives in a fully remote environment because of the COVID-19 global pandemic. Objective This study aims to measure the change in empathy and competencies of participants in clinical and communication skills before and after program participation. Methods A total of 41 participants completed only the core track of this program, and 39 participants completed the core + research track of this program. Participants in both tracks received instructions in selected clinical skills and interacted directly with patients to improve their interviewing skills. Research track participants received additional instructions in research methodology. All participants completed web-based pre- and postsurveys containing Knowledge and Skills Assessment (KSA) questions. Participant empathy was assessed using the validated Consultation and Relational Empathy measure. A subset of participants completed optional focus groups to discuss empathy. The pre- and post-KSA and Consultation and Relational Empathy measure scores were compared using paired 2-tailed t tests and a linear regression model. Open-ended focus group answers were then analyzed thematically. Results Participants in both tracks demonstrated significant improvement in empathy after the 2-week remote learning course (P=.007 in core track; P Conclusions Summer internships that introduce high school and undergraduate students to the field of health care through hands-on interaction and patient involvement may be an effective way to develop measurable empathy skills when combined with clinical skills training and mentorship. Notably, increases in empathy were observed in a program administered via a remote learning environment.

The science around the use of masks by the public to impede COVID-19 transmission is advancing rapidly. In this narrative review, we develop an analytical framework to examine mask usage, synthesizing the relevant literature to inform multiple areas: population impact, transmission characteristics, source control, wearer protection, sociological considerations, and implementation considerations. A primary route of transmission of COVID-19 is via respiratory particles, and it is known to be transmissible from presymptomatic, paucisymptomatic, and asymptomatic individuals. Reducing disease spread requires two things: limiting contacts of infected individuals via physical distancing and other measures and reducing the transmission probability per contact. The preponderance of evidence indicates that mask wearing reduces transmissibility per contact by reducing transmission of infected respiratory particles in both laboratory and clinical contexts. Public mask wearing is most effective at reducing spread of the virus when compliance is high. Given the current shortages of medical masks, we recommend the adoption of public cloth mask wearing, as an effective form of source control, in conjunction with existing hygiene, distancing, and contact tracing strategies. Because many respiratory particles become smaller due to evaporation, we recommend increasing focus on a previously overlooked aspect of mask usage: mask wearing by infectious people (“source control”) with benefits at the population level, rather than only mask wearing by susceptible people, such as health care workers, with focus on individual outcomes. We recommend that public officials and governments strongly encourage the use of widespread face masks in public, including the use of appropriate regulation.

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has resulted in severe shortages of personal protective equipment (PPE) necessary to protect front-line healthcare personnel. These shortages underscore the urgent need for simple, efficient, and inexpensive methods to decontaminate SARS-CoV-2-exposed PPE enabling safe reuse of masks and respirators. Efficient decontamination must be available not only in low-resourced settings, but also in well-resourced settings affected by PPE shortages. Methylene blue (MB) photochemical treatment, hitherto with many clinical applications including those used to inactivate virus in plasma, presents a novel approach for widely applicable PPE decontamination. Dry heat (DH) treatment is another potential low-cost decontamination method.MethodsMB and light (MBL) and DH treatments were used to inactivate coronavirus on respirator and mask material. We tested three N95 filtering facepiece respirators (FFRs), two medical masks (MMs), and one cloth community mask (CM). FFR/MM/CM materials were inoculated with SARS-CoV-2 (a Betacoronavirus), murine hepatitis virus (MHV) (a Betacoronavirus), or porcine respiratory coronavirus (PRCV) (an Alphacoronavirus), and treated with 10 µM MB followed by 50,000 lux of broad-spectrum light or 12,500 lux of red light for 30 minutes, or with 75°C DH for 60 minutes. In parallel, we tested respirator and mask integrity using several standard methods and compared to the FDA-authorized vaporized hydrogen peroxide plus ozone (VHP+O3) decontamination method. Intact FFRs/MMs/CM were subjected to five cycles of decontamination (5CD) to assess integrity using International Standardization Organization (ISO), American Society for Testing and Materials (ASTM) International, National Institute for Occupational Safety and Health (NIOSH), and Occupational Safety and Health Administration (OSHA) test methods.FindingsOverall, MBL robustly and consistently inactivated all three coronaviruses with at least a 4-log reduction. DH yielded similar results, with the exception of MHV, which was only reduced by 2-log after treatment. FFR/MM integrity was maintained for 5 cycles of MBL or DH treatment, whereas one FFR failed after 5 cycles of VHP+O3. Baseline performance for the CM was variable, but reduction of integrity was minimal.InterpretationMethylene blue with light and DH treatment decontaminated masks and respirators by inactivating three tested coronaviruses without compromising integrity through 5CD. MBL decontamination of masks is effective, low-cost and does not require specialized equipment, making it applicable in all-resource settings. These attractive features support the utilization and continued development of this novel PPE decontamination method.

The science around the use of masks by the general public to impede COVID-19 transmission is advancing rapidly. Policymakers need guidance on how masks should be used by the general population to combat the COVID-19 pandemic. In this narrative review, we develop an analytical framework to examine mask usage, considering and synthesizing the relevant literature to inform multiple areas: population impact; transmission characteristics; source control; PPE; sociological considerations; and implementation considerations. A primary route of transmission of COVID-19 is via respiratory droplets, and is known to be transmissible from presymptomatic and asymptomatic individuals. Reducing disease spread requires two things: first, limit contacts of infected individuals via physical distancing and other measures, and second, reduce the transmission probability per contact. The preponderance of evidence indicates that mask wearing reduces the transmissibility per contact by reducing transmission of infected droplets in both laboratory and clinical contexts. Public mask wearing is most effective at reducing spread of the virus when compliance is high. The decreased transmissibility could substantially reduce the death toll and economic impact while the cost of the intervention is low. Given the current shortages of medical masks we recommend the adoption of public cloth mask wearing, as an effective form of source control, in conjunction with existing hygiene, distancing, and contact tracing strategies. Because many respiratory droplets become smaller due to evaporation, we recommend increasing focus on a previously overlooked aspect of mask usage: mask-wearing by infectious people ("source control") with benefits at the population-level, rather than mask-wearing by susceptible people, such as health-care workers, with focus on individual outcomes. We recommend that public officials and governments strongly encourage the use of widespread face masks in public, including the use of appropriate regulation.

The COVID-19 pandemic is currently causing a severe disruption and shortage in the global supply chain of necessary personal protective equipment (e.g., N95 respirators). The U.S. CDC has recommended use of household cloth by the general public to make cloth face coverings as a method of source control. We evaluated the filtration properties of natural and synthetic materials using a modified procedure for N95 respirator approval. Common fabrics of cotton, polyester, nylon, and silk had filtration efficiency of 5–25%, polypropylene spunbond had filtration efficiency 6–10%, and paper-based products had filtration efficiency of 10–20%. An advantage of polypropylene spunbond is that it can be simply triboelectrically charged to enhance the filtration efficiency (from 6 to >10%) without any increase in pressure (stable overnight and in humid environments). Using the filtration quality factor, fabric microstructure, and charging ability, we are able to provide an assessment of suggested fabric materials for homemade facial coverings.

Given the rapidly changing nature of COVID-19, clinicians and policy makers require urgent review and summary of the literature, and synthesis of evidence-based guidelines to inform practice. The WHO advocates for rapid reviews in these circumstances. The purpose of this rapid guideline is to provide recommendations on the organizational management of intensive care units caring for patients with COVID-19 including: planning a crisis surge response; crisis surge response strategies; triage, supporting families, and staff. Electronic supplementary material The online version of this article (10.1007/s00134-020-06092-5) contains supplementary material, which is available to authorized users.

Applications of machine learning on clinical data are now attaining levels of performance that match or exceed human clinicians.1–3 Fields involving image interpretation—radiology, pathology and dermatology—have led the charge due to the power of convolutional neural networks, the existence of standard data formats and large data repositories. We have also seen powerful diagnostic and predictive algorithms built using a range of other data, including electronic health records (EHR), -omics, monitoring signals, insurance claims and patient-generated data.4 The looming extinction of doctors has captured the public imagination, with editorials such as ‘The AI Doctor Will See You Now’.5 The prevailing view among experts is more balanced: that doctors who use artificial intelligence (AI) will replace those who do not.6 Amid such inflated expectations, the elephant in the room is the implementation gap of machine learning in healthcare.7 8 Very few of these algorithms ever make it to the bedside; and even the most technology-literate academic medical centres are not routinely using AI in clinical workflows. A recent systematic review of deep learning applications using EHR data highlighted the need to focus on the last mile of implementation: ‘for direct clinical impact, deployment and automation of deep learning models must be considered’.9 The typical life-cycle of an algorithm remains: train on historical data, publish a good receiver-operator curve and then collect dust in the ‘model graveyard’. This begs the question: if model performance is so …

Objective In this study, we investigated if chronic opioid exposure leads to changes in immune signaling pathways. Method We used phospho-flow cytometry to study intracellular signaling in immune cells of patients with chronic opioid exposure. PBMCs were stimulated with cytokines (IFN-α, IFN-γ, IL-2, IL-6, IL-7, IL-10, IL-21), then stained to analyze 6 lymphocyte subsets and monocytes for phosphorylated STATs (signal transducers and activators of transcription), in particular p-STATs 1, 3 and 5. Results After one month of opioid exposure as compared to baseline, IL-2 stimulation of B cells resulted in significantly elevated pSTAT3 levels whereas IFN-γ stimulation resulted in significantly reduced pSTAT5 levels. CD4+ T cell subsets showed reduced pSTAT3 induction in response to multiple cytokine stimuli, and reduced pSTAT1 and pSTAT5 induction with IFN-γ. Similar reductions in pSTAT3 and pSTAT5 induction were seen in CD8+CD45RA+ T cells with several cytokine stimuli. In monocytes, IL-7 and IL-21 stimulation resulted in significantly decreased pSTAT1 levels. No significant changes in pSTAT signaling was found in non-B non-T cells after stimulation with various cytokines. In addition, acute opioid withdrawal via intravenous naloxone resulted in significantly increased pSTAT1 and pSTAT5 levels after IFN-γ stimulation in CD8+ T cells. Conclusion One month of opioid exposure significantly reduced cytokine-induced levels of phospho-STAT signaling. These findings suggest that chronic opioid exposure suppresses immune signaling pathways.

Background For a number of fiscal and practical reasons, data on heroin use have been of poor quality, which has hampered the ability to halt the growing epidemic. Internet search data, such as those made available by Google Trends, have been used as a low-cost, real-time data source for monitoring and predicting a variety of public health outcomes. We aimed to determine whether data on opioid-related internet searches might predict future heroin-related admissions to emergency departments (ED). Methods Across nine metropolitan statistical areas (MSAs) in the United States, we obtained data on Google searches for prescription and non-prescription opioids, as well as Substance Abuse and Mental Health Services Administration (SAMHSA) data on heroin-related ED visits from 2004 to 2011. A linear mixed model assessed the relationship between opioid-related Internet searches and following year heroin-related visits, controlling for MSA GINI index and total number of ED visits. Results The best-fitting model explained 72% of the variance in heroin-related ED visits. The final model included the search keywords “Avinza,” “Brown Sugar,” “China White,” “Codeine,” “Kadian,” “Methadone,” and “Oxymorphone.” We found regional differences in where and how people searched for opioid-related information. Conclusions Internet search-based modeling should be explored as a new source of insights for predicting heroin-related admissions. In geographic regions where no current heroin-related data exist, Internet search modeling might be a particularly valuable and inexpensive tool for estimating changing heroin use trends. We discuss the immediate implications for using this approach to assist in managing opioid-related morbidity and mortality in the United States.

Objective . Prolonged exposure to opioids is known to produce neuroplastic changes in animals; however, few studies have investigated the effects of short-term prescription opioid use in humans. A previous study from our laboratory demonstrated a dosage-correlated volumetric decrease in the right amygdala of participants administered oral morphine daily for 1 month. The purpose of this current study was to replicate and extend the initial findings. Methods . Twenty-one participants with chronic low back pain were enrolled in this double-blind, placebo-controlled study. Participants were randomized to receive daily morphine (n = 11) or a matched placebo (n = 10) for 1 month. High-resolution anatomical images were acquired immediately before and after the treatment administration period. Morphological gray matter changes were investigated using tensor-based morphometry, and significant regions were subsequently tested for correlation with morphine dosage. Results . Decreased gray matter volume was observed in several reward- and pain-related regions in the morphine group, including the bilateral amygdala, left inferior orbitofrontal cortex, and bilateral pre-supplementary motor areas. Morphine administration was also associated with significant gray matter increases in cingulate regions, including the mid cingulate, dorsal anterior cingulate, and ventral posterior cingulate. Conclusions . Many of the volumetric increases and decreases overlapped spatially with the previously reported changes. Individuals taking placebo for 1 month showed neither gray matter increases nor decreases. The results corroborate previous reports that rapid alterations occur in reward-related networks following short-term prescription opioid use.

This review summarizes the current applications of social media in regional anesthesiology, describes ways that specific platforms may promote growth, and briefly discusses limitations and future directions.Although Facebook users outnumber Twitter users, the latter has been better studied in regional anesthesiology and may have the advantages of speed and expansion of reach. Highly tweeted publications are more likely to be cited in the medical literature, and twitter-enhanced journal clubs facilitate communication regarding important articles with international colleagues. In both the United States and internationally, Twitter has been shown to enhance the anesthesiology conference experience, changing communication among attendees and non-attendees. YouTube and podcasts are quickly finding a niche in regional anesthesiology for just-in-time training and continuing professional development.Social media use is rapidly growing in regional anesthesiology, and benefits include global interaction and knowledge translation within the specialty and with the general public.

Background: Health care conferences present a unique opportunity to network, spark innovation, and disseminate novel information to a large audience, but the dissemination of information typically stays within very specific networks. Social network analysis can be adopted to understand the flow of information between virtual social communities and the role of patients within the network. Objective: The purpose of this study is to examine the impact engaged patients bring to health care conference social media information flow and how they expand dissemination and distribution of tweets compared to other health care conference stakeholders such as physicians and researchers. Methods: From January 2014 through December 2016, 7,644,549 tweets were analyzed from 1672 health care conferences with at least 1000 tweets who had registered in Symplur’s Health Care Hashtag Project from 2014 to 2016. The tweet content was analyzed to create a list of the top 100 influencers by mention from each conference, who were then subsequently categorized by stakeholder group. Multivariate linear regression models were created using stepwise function building to identify factors explaining variability as predictor variables for the model in which conference tweets were taken as the dependent variable. Results: Inclusion of engaged patients in health care conference social media was low compared to that of physicians and has not significantly changed over the last 3 years. When engaged patient voices are included in health care conferences, they greatly increase information flow as measured by total tweet volume (beta=301.6) compared to physicians (beta=137.3, P

Summary Dr. Frederic A. ‘Fritz’ Berry (1935), Professor Emeritus of Anesthesiology and Pediatrics at the University of Virginia, has played a pioneering role in the development of pediatric anesthesiology through training generations of anesthesiologists. He identifies his early advocacy of balanced electrolyte solution for perioperative fluid resuscitation as his defining contribution. Based on his clinical experiences, he pushed to extend the advances in adult fluid resuscitation into pediatric practice. He imparted these and other insights to his colleagues although textbooks, book chapters, original journal publications, and decades of Refresher Course Lectures at the American Society of Anesthesiologists' annual meetings. A model educator, clinician, and researcher, he shaped the careers of hundreds of physicians-in-training while advancing the field of pediatric anesthesiology.

Background The transition from internship to residency training may be a stressful time for interns, particularly if it involves a change among programs or institutions after completing a preliminary year. Objective We explored whether an e-learning curriculum would increase interns' preparedness for the transition to the first year of clinical anesthesiology training and reduce stress by improving confidence and perceived competence in performing professional responsibilities. Intervention We tested a 10-month e-learning program, Successful Transition to Anesthesia Residency Training (START), as a longitudinal intervention to increase interns' self-perceived preparedness to begin anesthesiology residency training in a prospective, observational study and assessed acceptance and sustainability. After a needs assessment, we administered the START modules to 22 interns, once a month, using an integrated learning management and lecture-capture system. We surveyed interns' self-assessed preparedness to begin anesthesiology residency before and after completing the START modules. Interns from the prior year's class, who did not participate in the online curriculum, served as controls. Results After participation in the START intervention, self-assessed preparedness to begin residency improved by 72% (P = .02). Interns also felt more connected to, and had improved positive feelings toward, their new residency program and institution. Conclusion Participation in our novel 10-month e-learning curriculum and virtual mentorship program improved interns' impression of their residency program and significantly increased interns' subjective assessment of their preparedness to begin anesthesiology residency. This e-learning concept could be more broadly applied and useful to other residency programs.

BACKGROUND Ostomy surgeries involving the placement of an ostomy bag (eg, colostomy, ileostomy, urostomy, etc) have been shown to have a negative impact on health-related quality of life. To date, no studies have been conducted examining what impact, if any, wearable biosensors have on the health-related quality of life of ostomy patients. OBJECTIVE In the present study, we plan to assess the quality of life of ostomy patients using the Ostom-i alert sensor, a portable, wearable, Bluetooth-linked biosensor that facilitates easier ostomy bag output measurements. We hypothesize that using the Ostom-i alert sensor will result in an improved, ostomy-specific, health-related quality of life as compared to baseline measurement before the use of the sensor. METHODS A total of 20 ostomy patients will be screened and recruited to participate in this prospective, observational, cross-over pilot study using an Ostom-i alert sensor for one month. The primary outcome of this study will compare ostomy-specific, health-related quality of life at baseline (prior to Ostom-i alert sensor use) to ostomy-specific, health-related quality of life after 2 and 4 weeks of Ostom-i use by utilizing the City of Hope Quality of Life Questionnaire for Patients with an Ostomy. Secondary outcomes of general health-related quality of life and adjustment to ostomy will be evaluated using the Medical Outcomes Study 36-item short form health survey and the Olbrisch Ostomy Adjustment Scale Short Form 2. RESULTS The project was funded by the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University School of Medicine. Enrollment is currently underway and data analysis is expected to be completed in 2018. CONCLUSIONS Proposed benefits of mobile, internet-linked personal health monitors, such as the Ostom-i, include a reduction in the cost of care by reducing resource utilization and infection rates, improving patient-provider communication, reducing time spent as an inpatient as well as improved quality of life. Prior studies have demonstrated decreased health-related quality of life in patients with an ostomy bag. We aim to examine the extent to which the Ostom-i alert sensor affects the health-related quality of life of its users. The Ostom-i alert sensor has the potential to improve quality of life of users by giving them the freedom and confidence to partake in daily activities with the knowledge that they can check how full their ostomy bag is in a private, discrete manner. CLINICALTRIAL ClinicalTrials.gov NCT02319434; https://clinicaltrials.gov/ct2/show/NCT02319434 (Archived at WebCite at http://www.webcitation.org/6xhFDThmq)

Objectives In this study, we investigated the co-administration of ondansetron with morphine, and whether it could prevent the development of physical dependence in patients taking opioids for the treatment of chronic pain. Methods A total of 48 chronic back pain patients (N = 48) participated in this double-blinded, placebo-controlled, randomized study. Patients were titrated onto sustained-release oral morphine and randomized to take 8 mg ondansetron or placebo three times daily concurrently with morphine during the 30-day titration. Following titration, patients underwent Naloxone induced opioid withdrawal. Opioid withdrawal signs and symptoms were then assessed by a blinded research assistant (objective opioid withdrawal score: OOWS) and by the research participant (subjective opioid withdrawal score: SOWS). Results We observed clinically significant signs of naloxone-precipitated opioid withdrawal in all participants (ΔOOWS = 4.3 ± 2.4, p Conclusion We hypothesized that ondansetron would prevent the development of physical dependence in human subjects when co-administered with opioids, but found no difference in naloxone-precipitated opioid withdrawal scores between ondansetron and placebo treatment groups. These results suggest that further studies are needed to determine if 5HT 3 receptor antagonists are useful in preventing opioid physical dependence.

Treatments for reducing opioid withdrawal are limited and prone to problematic side effects. Laboratory studies, clinical observations, and limited human trial data suggest 5-HT3-receptor antagonists and antihistamines may be effective.This double-blind, crossover, placebo-controlled study employing an acute physical dependence model evaluated whether (i) treatment with a 5-HT3-receptor antagonist (palonosetron) would reduce opioid withdrawal symptoms, and (ii) co-administration of an antihistamine (hydroxyzine) would enhance any treatment effect.At timepoint T = 0, healthy (non-opioid dependent, non-substance abuser) male volunteers (N = 10) were pre-treated with either a) placebo, b) palonosetron IV (0.75 mg), or c) palonosetron IV (0.75 mg) and hydroxyzine PO (100 mg) in a crossover study design. This was followed at T = 30 by intravenous morphine (10 mg/70kg). At T = 165, 10 mg/70kg naloxone IV was given to precipitate opioid withdrawal. The objective opioid withdrawal score (OOWS) and subjective opioid withdrawal score (SOWS) were determined 5 and 15 minutes after naloxone administration (T = 170, 180, respectively). Baseline measurements were recorded at T = -30 and T = -15.Comparison of average baseline OOWS scores with OOWS scores obtained 15 minutes after naloxone was significant (p = 0.0001). Scores from 15 minutes post-naloxone infusion showed significant differences in OOWS scores between treatment groups: placebo, 3.7 ± 2.4; palonosetron, 1.5 ± 0.97; and palonosetron with hydroxyzine, 0.2 ± 0.1333.Pretreatment with palonosetron significantly reduced many signs of experimentally-induced opioid withdrawal. Co-administration with hydroxyzine further reduced opioid withdrawal severity. These results suggest that 5-HT3 receptor antagonists, alone or in combination with an antihistamine, may be useful in the treatment of opioid withdrawal.

Using their experience at Medicine X, Larry Chu and colleagues discuss the benefits of involving patients as partners at medical meetings

Acute and chronic exposure to opioids has been associated with hyperalgesia in both animals and humans. A genetic analysis of opioid-induced hyperalgesia in mice linked the β(2)-adrenergic receptor to mechanical sensitization after opioid exposure. In humans, expansion of the area of mechanical hyperalgesia surrounding an experimentally induced lesion after the cessation of remifentanil infusion is a commonly used model of opioid hyperalgesia (remifentanil-induced postinfusion hyperalgesia, RPH). The purpose of our translational study was to test the hypothesis that the β-adrenergic receptor antagonist propranolol modulates the expression of RPH in humans. This double-blinded, randomized, placebo-controlled, crossover study was performed in 10 healthy human volunteers. During test sessions, intracutaneous electrical stimulation was used to generate areas of secondary mechanical hyperalgesia. The area of this sensitization was measured before, during, and after remifentanil infusion. Heat pain sensitivity was also followed. During one test session, subjects received propranolol infusion. We observed an average increase in the areas of secondary mechanical hyperalgesia to 141% of the baseline in subjects infused with remifentanil and placebo (P=0.00040). However, when remifentanil infusion was combined with propranolol, the area of secondary hyperalgesia after terminating remifentanil was not significantly different than the area before beginning the opioid infusion (P=0.13). Thermal hyperalgesia was not observed after remifentanil infusion. Propranolol infusion at the selected dose had minor hemodynamic effects. Concomitant infusion of propranolol with remifentanil prevented the expression of RPH. β-adrenergic receptor blockade may be a useful pharmacological strategy for preventing hyperalgesia in patients exposed to opioids.

Opioids such as morphine are the cornerstone of pain treatment. The challenge of measuring the concentrations of morphine and its active metabolites in order to assess human pharmacokinetics and monitor therapeutic drugs in children requires assays with high sensitivity in small blood volumes. We developed and validated a semi-automated LC-MS/MS assay for the simultaneous quantification of morphine and its active metabolites morphine 3β-glucuronide (M3G) and morphine 6β-glucuronide (M6G) in human plasma and in dried blood spots (DBS). Reconstitution in water (DBS only) and addition of a protein precipitation solution containing the internal standards were the only manual steps. Morphine and its metabolites were separated on a Kinetex 2.6-μm PFP analytical column using an acetonitrile/0.1% formic acid gradient. The analytes were detected in the positive multiple reaction mode. In plasma, the assay had the following performance characteristics: range of reliable response of 0.25-1000 ng/mL (r(2) 0.99) for morphine, 1-1,000 ng/mL (r(2) 0.99) for M3G, and 2.5-1,000 ng/mL for M6G. In DBS, the assay had a range of reliable response of 1-1,000 ng/mL (r(2) 0.99) for morphine and M3G, and of 2.5-1,000 ng/mL for M6G. For inter-day accuracy and precision for morphine, M3G and M6G were within 15% of the nominal values in both plasma and DBS. There was no carryover, ion suppression, or matrix interferences. The assay fulfilled all predefined acceptance criteria, and its sensitivity using DBS samples was adequate for the measurement of pediatric pharmacokinetic samples using a small blood of only 20-50 μL.

Background Despite the use of web-based information resources by both anesthesia departments and applicants, little research has been done to assess these resources and determine whether they are meeting applicant needs. Evidence is needed to guide anesthesia informatics research in developing high-quality anesthesia residency program Web sites (ARPWs). Methods We used an anonymous web-based program (SurveyMonkey, Portland, OR) to distribute a survey investigating the information needs and perceived usefulness of ARPWs to all 572 Stanford anesthesia residency program applicants. A quantitative scoring system was then created to assess the quality of ARPWs in meeting the information needs of these applicants. Two researchers independently analyzed all 131 ARPWs in the United States to determine whether the ARPWs met the needs of applicants based on the scoring system. Finally, a qualitative assessment of the overall user experience of ARPWs was developed to account for the subjective elements of the Web site's presentation. Results Ninety-eight percent of respondents reported having used ARPWs during the application process. Fifty-six percent reported first visiting the Stanford ARPW when deciding whether to apply to Stanford's anesthesia residency program. Multimedia and Web 2.0 technologies were "very" or "most" useful in "learning intangible aspects of a program, like how happy people are" (42% multimedia and Web 2.0 versus 14% text and photos). ARPWs, on average, contained only 46% of the content items identified as important by applicants. The average (SD) quality scores among all ARPWs was 2.06 (0.59) of 4.0 maximum points. The mean overall qualitative score for all 131 ARPWs was 4.97 (1.92) of 10 points. Only 2% of applicants indicated that the majority (75%-100%) of Web sites they visited provided a complete experience. Conclusion Anesthesia residency applicants rely heavily on ARPWs to research programs, prepare for interviews, and formulate a rank list. Anesthesia departments can improve their ARPWs by including information such as total hours worked and work hours by rotation (missing in 96% and 97% of ARPWs) and providing a valid web address on the Fellowship and Residency Electronic Interactive Database Access System (FREIDA) (missing in 28% of ARPWs).

Some recent studies suggested a role of the endogenous opioid system in modulating opioid-induced hyperalgesia (OIH). In order to test this hypothesis, we conducted a prospective randomized, placebo-controlled, 2-way crossover study in healthy human volunteers. We utilized a well-established model of inducing OIH after a brief exposure to the μ-opioid agonist remifentanil using intradermal electrical stimulation. Patients were exposed to a randomized 90-minute infusion of remifentanil or saline placebo during 2 separate occasions. Development of OIH was quantified using changes in the average radius of the area of secondary hyperalgesia generated by electrical pain stimulation. A 23.6% (20.2) increase in area of secondary hyperalgesia over baseline was observed in the postinfusion period of the remifentanil session, demonstrating development of OIH (P = .03). In order to test endogenous opioid system modulation of OIH, patients were given a 1-time bolus of naloxone, which had no effect on the size of the hyperalgesic lesion in either the remifentinal or placebo session. These results suggested that the endogenous opioid system did not appear to modulate OIH. Perspective Experimental evidence suggested that the endogenous opioid system did not significantly affect opioid-induced hyperalgesia. Consequently, this study suggested that alternative mechanisms such as pronociceptive stimulation and neuroplastic changes might be responsible for expression of OIH.

Peripheral Nerve Block for Hand Procedures This video shows viewers how to administer a peripheral nerve block. Its primary use, demonstrated here, is to aid the treatment of hand lacerations. This...

Total subcutaneous implantable subcutaneous defibrillators are in development, but optimal electrode configurations are not known.We used image-based finite element models (FEM) to predict the myocardial electric field generated during defibrillation shocks (pseudo-DFT) in a wide variety of reported and innovative subcutaneous electrode positions to determine factors affecting optimal lead positions for subcutaneous implantable cardioverter-defibrillators (S-ICD).An image-based FEM of an adult man was used to predict pseudo-DFTs across a wide range of technically feasible S-ICD electrode placements. Generator location, lead location, length, geometry and orientation, and spatial relation of electrodes to ventricular mass were systematically varied. Best electrode configurations were determined, and spatial factors contributing to low pseudo-DFTs were identified using regression and general linear models.A total of 122 single-electrode/array configurations and 28 dual-electrode configurations were simulated. Pseudo-DFTs for single-electrode orientations ranged from 0.60 to 16.0 (mean 2.65 +/- 2.48) times that predicted for the base case, an anterior-posterior configuration recently tested clinically. A total of 32 of 150 tested configurations (21%) had pseudo-DFT ratios/=1, indicating the possibility of multiple novel, efficient, and clinically relevant orientations. Favorable alignment of lead-generator vector with ventricular myocardium and increased lead length were the most important factors correlated with pseudo-DFT, accounting for 70% of the predicted variation (R(2) = 0.70, each factor P.05) in a combined general linear model in which parameter estimates were calculated for each factor.Further exploration of novel and efficient electrode configurations may be of value in the development of the S-ICD technologies and implant procedure. FEM modeling suggests that the choice of configurations that maximize shock vector alignment with the center of myocardial mass and use of longer leads is more likely to result in lower DFT.

PURPOSE OF REVIEW Informatics is a broad field encompassing artificial intelligence, cognitive science, computer science, information science, and social science. The goal of this review is to illustrate how Web 2.0 information technologies could be used to improve anesthesia education. RECENT FINDINGS Educators in all specialties of medicine are increasingly studying Web 2.0 technologies to maximize postgraduate medical education of housestaff. These technologies include microblogging, blogs, really simple syndication (RSS) feeds, podcasts, wikis, and social bookmarking and networking. 'Anesthesia 2.0' reflects our expectation that these technologies will foster innovation and interactivity in anesthesia-related web resources which embraces the principles of openness, sharing, and interconnectedness that represent the Web 2.0 movement. Although several recent studies have shown benefits of implementing these systems into medical education, much more investigation is needed. SUMMARY Although direct practice and observation in the operating room are essential, Web 2.0 technologies hold great promise to innovate anesthesia education and clinical practice such that the resident learner need not be in a classroom for a didactic talk, or even in the operating room to see how an arterial line is properly placed. Thoughtful research to maximize implementation of these technologies should be a priority for development by academic anesthesiology departments. Web 2.0 and advanced informatics resources will be part of physician lifelong learning and clinical practice.

As residents work disparate schedules at multiple locations and because of workweek hour limits mandated by the ACGME, residents may be unable to attend lectures, seminars, or other activities that would enhance their skills. Further, the ACGME requires that residency programs document resident learning in six stated core competencies and provide proof of completion for various other requirements. LMS/LC is a promising technology to provide a means by which residency programs may overcome these obstacles. More studies are needed to show under what conditions an LMS/LC program actually enhances learning, and which elements are most useful to the new generation of learners comfortable with Web 2.0 technologies.

"Only a few hours have passed since using the last injection of morphia, and already the feeling of comfort brought on by the action of the drug is passing off. The patient is overcome by a feeling of uneasiness and listlessness; the feeling of self- consciousness and self-possession is gone, and is replaced by extreme despondency; a slight cough gradually brings on dyspnoea, which is increased by want of sleep and by hallucinations."

To test the hypothesis that regional anesthesia (RA) employing a block room reduces anesthesia-controlled time for ambulatory upper extremity surgery compared with general anesthesia (GA).Retrospective cohort study.Outpatient surgery center of a university hospital.229 adult patients who underwent ambulatory upper extremity surgery over one year.Upper extremity surgery was performed with three different anesthetic techniques: 1) GA, 2) nerve block (NB) performed preoperatively, or 3) local anesthetic (LA), either Bier block or local anesthetic, administered in the operating room (OR).Demographic data, anesthesia-controlled time, and turnover time were recorded. Since the data were not normally distributed, differences in anesthesia-controlled time and turnover time were analyzed using the Kruskal-Wallis test and post-hoc testing using one-way analysis of variance on the ranks of the observations, with Tukey-Kramer correction for multiple comparisons.Anesthesia-controlled time for NB (median 28 min) was significantly shorter than for GA (median 32 min, P = 0.0392). Anesthesia-controlled time for patients who received LA (median 25 min) was also significantly shorter than GA (P0.0001). However, turnover time did not differ significantly among the three groups.Peripheral nerve block performed preoperatively in an induction area or LA injected in the OR significantly reduces anesthesia-controlled time for ambulatory upper extremity surgery compared with GA. Turnover time is unaffected by anesthetic technique. These results may increase acceptance of RA in the ambulatory surgery setting.

Purpose While infraorbital nerve blocks have demonstrated analgesic benefits for pediatric nasal and facial plastic surgery, no studies to date have explored the effect of this regional anesthetic technique on adult postoperative recovery. We designed this study to test the hypothesis that infraorbital nerve blocks combined with a standardized general anesthetic decrease the duration of recovery following outpatient nasal surgery. Methods At a tertiary care university hospital, healthy adult subjects scheduled for outpatient nasal surgery were randomly assigned to receive bilateral infraorbital injections with either 0.5% bupivacaine (Group IOB) or normal saline (Group NS) using an intraoral technique immediately following induction of general anesthesia. All subjects underwent a standardized general anesthetic regimen and were transported to the recovery room following tracheal extubation. The primary outcome was the duration of recovery (minutes) from recovery room admission until actual discharge to home. Secondary outcomes included average and worst pain scores, nausea and vomiting, and supplemental opioid requirements. Results Forty patients were enrolled. A statistically significant difference in mean [SD] recovery room duration was not observed between Groups IOB and NS (131 [61] min vs 133 [58] min, respectively; P = 0.77). Subjects in Group IOB did experience a reduction in average pain on a 0–100 mm scale (mean [95% confidence interval]) compared to Group NS (−11 [−21 to 0], P = 0.047), but no other comparison of secondary outcomes was statistically significant. Conclusions When added to a standardized general anesthetic, bilateral IOB do not decrease actual time to discharge following outpatient nasal surgery despite a beneficial effect on postoperative pain.

It is widely accepted that chronic opioid therapy is associated with the development of pharmacologicaltolerance.Morecontroversialisthequestionastowhetheracuteopioidadministrationcanresultin‘‘acutetolerance.” The aim of this double-blind, placebo-controlled study in thirty-six healthy human volunteerswastoexaminewhethera3-hintravenousinfusiondeliveringtwodifferentbutclinicallyrelevantdosesofthe l -opioid receptor agonist remifentanil would result in tolerance to analgesic, respiratory depressantand/or sedative opioid effects. The blood remifentanil concentration versus opioid effect relationshipwas determined before and after the 3-h infusion. Tolerance was inferred if the potency of remifentanilwas significantly lower after the 3-h infusion. Opioid analgesia was assessed with the aid of the cold pres-sor test and models of electrical and heat pain. Respiratory depression was assessed by measuring arterialpCO 2 and minute ventilation. Subjective sedation scores were assessed on a visual analogue scale. Mixedeffects modeling was used to relate the steady-state blood remifentanil concentration to each pharmaco-dynamic assessment. Neither dose of remifentanil produced detectable tolerance to any of the measuredopioid effects following a 3-h infusion. The study was adequately powered to detect a decrease in potencyof 5–24% for analgesia, 20–48% for respiratory depression, and 32% for sedative effects. These results sug-gest that short-term administration of clinically useful doses of remifentanil is not associated with thedevelopment of significant tolerance to analgesic, respiratory depressant, or sedative opioid effects. 2008 International Association for the Study of Pain. Published by Elsevier B.V. All rights reserved.

Opioid-induced hyperalgesia (OIH) is most broadly defined as a state of nociceptive sensitization caused by exposure to opioids. The state is characterized by a paradoxical response whereby a patient receiving opioids for the treatment of pain may actually become more sensitive to certain painful stimuli. The type of pain experienced may or may not be different from the original underlying painful condition. Although the precise molecular mechanism is not yet understood, it is generally thought to result from neuroplastic changes in the peripheral and central nervous systems that lead to sensitization of pronociceptive pathways. OIH seems to be a distinct, definable, and characteristic phenomenon that may explain loss of opioid efficacy in some cases. Clinicians should suspect expression of OIH when opioid treatment effect seems to wane in the absence of disease progression, particularly if found in the context of unexplained pain reports or diffuse allodynia unassociated with the pain as previously observed. This review highlights the important mechanistic underpinnings and clinical ramifications of OIH and discusses future research directions and the latest clinical evidence for modulation of this potentially troublesome clinical phenomenon.