Doctor, What Would You Do?: An ANSWER for patients requesting advice about value-laden decisions

This article presents a previously published framework, summarized in the mnemonic ANSWER (A, Active listening; N, Needs assessment; S, Self-awareness/reflection; W, Whose perspective?; E, Elicit values; R, Respond) for how to respond to the question, “Doctor, what would you do?” when considering medical decisions that are preference-sensitive, meaning there is limited or debatable evidence to guide clinical recommendations, or are value-laden, such that the “right” decision may differ based on the context or values of a given individual. Using the mnemonic and practical examples, we attempt to make the framework for an ethically appropriate approach to these conversations more accessible for clinicians. Rather than a decision rule, this mnemonic represents a set of points to consider when physicians are considering an ethically acceptable response that fosters trust and rapport. We apply this approach to a case of periviable counseling, among the more emotionally challenging and value-laden antenatal decisions faced by providers and patients

Disclosing Medical Mistakes: A Communication Management Plan for Physicians

Introduction: There is a growing consensus that disclosure of medical mistakes is ethically and legally appropriate, but such disclosures are made difficult by medical traditions of concern about medical malpractice suits and by physicians’ own emotional reactions. Because the physician may have compelling reasons both to keep the information private and to disclose it to the patient or family, these situations can be conceptualized as privacy dilemmas. These dilemmas may create barriers to effectively addressing the mistake and its consequences. Although a number of interventions exist to address privacy dilemmas that physicians face, current evidence suggests that physicians tend to be slow to adopt the practice of disclosing medical mistakes. Methods: This discussion proposes a theoretically based, streamlined, two-step plan that physicians can use as an initial guide for conversations with patients about medical mistakes. The mistake disclosure management plan uses the communication privacy management theory. Results: The steps are 1) physician preparation, such as talking about the physician’s emotions and seeking information about the mistake, and 2) use of mistake disclosure strategies that protect the physician-patient relationship. These include the optimal timing, context of disclosure delivery, content of mistake messages, sequencing, and apology. A case study highlighted the disclosure process. Conclusion: This Mistake Disclosure Management Plan may help physicians in the early stages after mistake discovery to prepare for the initial disclosure of a medical mistakes. The next step is testing implementation of the procedures suggested

CEASE: A guide for clinicians on how to stop resuscitation efforts

Resuscitation programs such as Advanced Cardiac Life Support, Cardiac Life Support, Pediatric Advanced Life Support, and the Neonatal Resuscitation Program offer inadequate guidance to physicians who must ultimately decide when to stop resuscitation efforts. These decisions involve clinical and ethical judgments and are complicated by communication challenges, group dynamics, and family considerations. This article presents a framework, summarized in a mnemonic (CEASE: Clinical Features, Effectiveness, Ask, Stop, Explain), for how to stop resuscitation efforts and communicate that decision to clinicians and ultimately the patient’s family. Rather than a decision rule, this mnemonic represents a framework based on best evidence for when physicians are considering stopping resuscitation efforts and provides guidance on how to communicate that decision

Validation of the Family Inpatient Communication Survey

CONTEXT: Although many family members who make surrogate decisions report problems with communication, there is no validated instrument to accurately measure surrogate/clinician communication for older adults in the acute hospital setting. OBJECTIVES: The objective of this study was to validate a survey of surrogate-rated communication quality in the hospital that would be useful to clinicians, researchers, and health systems. METHODS: After expert review and cognitive interviewing (n = 10 surrogates), we enrolled 350 surrogates (250 development sample and 100 validation sample) of hospitalized adults aged 65 years and older from three hospitals in one metropolitan area. The communication survey and a measure of decision quality were administered within hospital days 3 and 10. Mental health and satisfaction measures were administered six to eight weeks later. RESULTS: Factor analysis showed support for both one-factor (Total Communication) and two-factor models (Information and Emotional Support). Item reduction led to a final 30-item scale. For the validation sample, internal reliability (Cronbach's alpha) was 0.96 (total), 0.94 (Information), and 0.90 (Emotional Support). Confirmatory factor analysis fit statistics were adequate (one-factor model, comparative fit index = 0.981, root mean square error of approximation = 0.62, weighted root mean square residual = 1.011; two-factor model comparative fit index = 0.984, root mean square error of approximation = 0.055, weighted root mean square residual = 0.930). Total score and subscales showed significant associations with the Decision Conflict Scale (Pearson correlation -0.43, P < 0.001 for total score). Emotional Support was associated with improved mental health outcomes at six to eight weeks, such as anxiety (-0.19 P < 0.001), and Information was associated with satisfaction with the hospital stay (0.49, P < 0.001). CONCLUSION: The survey shows high reliability and validity in measuring communication experiences for hospital surrogates. The scale has promise for measurement of communication quality and is predictive of important outcomes, such as surrogate satisfaction and well-being

Report of the LHC Computing Grid Project. RTAG 12: Collaborative Tools

This document is the final report of the LHC Computing Grid (LCG) Project's Requirements and Technical Assessment Group (RTAG 12) on Collaborative Tools. It presents a summary of the requirements of the LHC collaborations for Collaborative Tools, assesses the current status of those tools in common use, discusses likely relevant future development, and provides recommendations for action by the LCG, the collaborations, and CERN for the immediate and long-term future. The requirements and assessments were assembled from formal and informal interactions between members of the RTAG, representatives of the LHC collaborations, CERN IT, and experts in the field of Collaborative Tools

The effector T cell response to influenza infection

Influenza virus infection induces a potent initial innate immune response, which serves to limit the extent of viral replication and virus spread. However, efficient (and eventual) viral clearance within the respiratory tract requires the subsequent activation, rapid proliferation, recruitment, and expression of effector activities by the adaptive immune system, consisting of antibody producing B cells and influenza-specific T lymphocytes with diverse functions. The ensuing effector activities of these T lymphocytes ultimately determine (along with antibodies) the capacity of the host to eliminate the viruses and the extent of tissue damage. In this review, we describe this effector T cell response to influenza virus infection. Based on information largely obtained in experimental settings (i.e., murine models), we will illustrate the factors regulating the induction of adaptive immune T cell responses to influenza, the effector activities displayed by these activated T cells, the mechanisms underlying the expression of these effector mechanisms, and the control of the activation/differentiation of these T cells, in situ, in the infected lungs

Long-term survival of a woman with well differentiated papillary mesothelioma of the peritoneum: a case report and review of the literature

<p>Abstract</p> <p>Introduction</p> <p>Well-differentiated papillary mesothelioma of the peritoneum (WDPMP) is a rare subtype of epitheloid mesothelioma, which is usually seen in young women. WDPMP is generally considered of low malignant potential, however the long-term nature of the tumor remains poorly defined.</p> <p>Case presentation</p> <p>We describe the long-term follow-up of a 60-year-old woman of West African descent who has survived 24 years with WDPMP after receiving extensive local and systemic adjuvant chemotherapy. Her clinical course has included three exploratory laparotomies with intraperitoneal and intravenous chemotherapy over two decades. Her course was complicated by anthracycline-induced cardiomyopathy, for which she underwent an orthotopic heart transplant. Our patient is alive with stable radiological evidence of peritoneal disease, and continues to suffer from chronic abdominal pain.</p> <p>Conclusion</p> <p>No consensus exists regarding optimal treatment strategies for WDPMP. However, given the low malignant potential of the tumor, careful consideration should be made before proceeding with aggressive interventions. Further, long-term follow-up reports are required to fully characterize this tumor.</p

Barriers to the Localness of Volunteered Geographic Information

Localness is an oft-cited benefit of volunteered ge-ographic information (VGI). This study examines whether localness is a constant, universally shared ben-efit of VGI, or one that varies depending on the context in which it is produced. Focusing on articles about ge-ographic entities (e.g. cities, points of interest) in 79 language editions of Wikipedia, we examine the local-ness of both the editors working on articles and the sources of the information they cite. We find extensive geographic inequalities in localness, with the degree of localness varying with the socioeconomic status of the local population and the health of the local media. We also point out the key role of language, showing that information in languages not native to a place tends to be produced and sourced by non-locals. We discuss the implications of this work for our understanding of the nature of VGI and highlight a generalizable technical contribution: an algorithm that determines the home country of the original publisher of online content