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Purpose The aim of this study was to determine the impact of a transition-to-practice program on job satisfaction among novice clinical nurse specialists (CNSs) in the US Air Force. Program description A needs assessment was conducted among currently practicing Air Force CNSs (n = 30) to establish the necessity for a transition-to-practice program. Newly graduated CNSs (n = 8) were paired with experienced CNS mentors and met every 2 weeks for 2 months to discuss progress on the CNS core competencies. Before beginning the program, mentees self-reported perceptions related to the core competencies. Mentors focused on areas of self-reported low competency. The Nursing Context Index was administered preintervention and postintervention to assess the program's impact on job satisfaction. Outcomes Overall job satisfaction among novice CNSs improved from 5.01 to 5.57 (scale, 1-7) after completing the program. Personal satisfaction (4.30-5.63) and satisfaction with professional support (5.28-6.00) showed the greatest improvement out of the 4 elements of job satisfaction evaluated. Conclusions Transition-to-practice programs can be beneficial for novice CNSs in establishing their practice. Future studies with larger sample sizes over longer periods of time are necessary to determine the true impact of similar programs.Purpose The purpose of this project was for advanced practice nursing students to gain experience taking a history from a parent or caregiver and communicating the treatment plan for an infant in which child abuse is suspected. Project Fifty-three students participated in a 11 simulated encounter with a standardized patient acting as the mother of an infant with a leg injury that reportedly resulted from a fall from the couch. Students received feedback from the standardized patient via an assessment tool and debriefed with faculty immediately after the simulation. Outcome All students demonstrated empathy, acknowledged the mother's emotions, and communicated the concern for abuse. Additionally, all students explained the x-ray findings, need for hospital admission, and referral to investigative agency for further evaluation. Conclusion Simulations designed to provide advanced practice nursing students with experience interviewing a parent and responding in the case of suspected child abuse are an important method of preparing them for initial clinical encounters.Purpose/aims Predatory journals, characterized by poor editorial practices and questionable peer review, constitute a threat to academic literature. Citations to predatory journals in reviews of research potentially weaken the strength of these reviews, which are relied upon by nurses as evidence for practice. The purposes of this study were to assess the (a) extent to which reviews have relied on articles published in predatory journals, (b) nursing research practice areas most reliant on predatory journal citations, and (c) extent to which predatory journal citations are being used in reviews that guide the care of sensitive or vulnerable groups. Methods Literature and other types of reviews with 1 or more citations to a predatory journal (n = 78) were assessed. The reviews were classified by topic (clinical practice, education, and management). Results The 78 reviews contained 275 citations to articles published in predatory journals; 51 reviews (65%) substantively used these references. Conclusions Predatory journal articles, which may not have been subjected to an adequate peer review, are being cited in review articles published in legitimate nursing journals, weakening the strength of these reviews as evidence for practice.The application of artificial intelligence technologies to anatomic pathology has the potential to transform the practice of pathology, but, despite this, many pathologists are unfamiliar with how these models are created, trained, and evaluated. In addition, many pathologists may feel that they do not possess the necessary skills to allow them to embark on research into this field. This article aims to act as an introductory tutorial to illustrate how to create, train, and evaluate simple artificial learning models (neural networks) on histopathology data sets in the programming language Python using the popular freely available, open-source libraries Keras, TensorFlow, PyTorch, and Detecto. Furthermore, it aims to introduce pathologists to commonly used terms and concepts used in artificial intelligence.Pathologists are adopting whole slide images (WSIs) for diagnosis, thanks to recent FDA approval of WSI systems as class II medical devices. learn more In response to new market forces and recent technology advances outside of pathology, a new field of computational pathology has emerged that applies artificial intelligence (AI) and machine learning algorithms to WSIs. Computational pathology has great potential for augmenting pathologists' accuracy and efficiency, but there are important concerns regarding trust of AI due to the opaque, black-box nature of most AI algorithms. In addition, there is a lack of consensus on how pathologists should incorporate computational pathology systems into their workflow. To address these concerns, building computational pathology systems with explainable AI (xAI) mechanisms is a powerful and transparent alternative to black-box AI models. xAI can reveal underlying causes for its decisions; this is intended to promote safety and reliability of AI for critical tasks such as pathology diagnosis. This article outlines xAI enabled applications in anatomic pathology workflow that improves efficiency and accuracy of the practice. In addition, we describe HistoMapr-Breast, an initial xAI enabled software application for breast core biopsies. HistoMapr-Breast automatically previews breast core WSIs and recognizes the regions of interest to rapidly present the key diagnostic areas in an interactive and explainable manner. We anticipate xAI will ultimately serve pathologists as an interactive computational guide for computer-assisted primary diagnosis.The coronavirus disease 2019 (COVID-19) pandemic has thus far caused a total of 81,747 confirmed cases with 3283 deaths in China and more than 370,000 confirmed cases including over 16,000 deaths around the world by March 24, 2020. This issue has received extensive attention from the international community and has become a major public health priority. As the pandemic progresses, it is regrettable to know the health care workers, including anesthesiologists, are being infected constantly. Therefore, we would like to share our firsthand practical experience and perspective in China, focusing on the personal protection of health care workers and the risk factors related to their infection, based on the different stages of the COVID-19 epidemic in China.Background The National Inpatient Sample (NIS) database is accessible, inexpensive, and increasingly used in orthopaedic research, but it has complex design features that require nuanced methodological considerations for appropriate use and interpretation. A recent study showed poor adherence to recommended research practices for the NIS across a broad spectrum of medical and surgical fields, but the degree and patterns of nonadherence among orthopaedic publications remain unclear. Questions/purposes In this study, we sought (1) to quantify nonadherence to recommended research practices provided by the Agency for Healthcare Research and Quality (AHRQ) for using the NIS data in orthopaedic studies from 2016-2017; and, (2) to identify the most common nonadherence practices. Methods We evaluated all 136 manuscripts published across the 74 orthopaedic journals listed on Scimago Journal & Country Rank that used the NIS from January 2016 through December 2017. Of those studies, 2% (3 of 136) were excluded because N33) inappropriately used secondary diagnosis codes to infer in-hospital events. Conclusions Nearly all manuscripts published in orthopaedic journals using the NIS database in 2016 and 2017 failed to adhere to recommended research practices. Future research quantifying variations in study results on the basis of adherence to recommended research practices would be of value. Clinical relevance With the ubiquitous presence of large-database studies in orthopaedic journals, our work points to the importance of rigorous methodological appraisal when evaluating results, and encourages journals to require the use of the methodology checklists upon submission of such studies. More research is needed to determine whether deviations from recommended research practices actually lead to biased conclusions that affect patient care and policy-related decisions.Introduction Debriefing Assessment for Simulation in Healthcare (DASH) is an instrument to assist in developing and evaluating faculty debriefing and instructional skills that, in the context of trained raters, yields reliable data and internal consistency. Support for its validity is grounded in both its content and the scores arising from its use. The utilization of this and other assessment tools, guidelines, and protocols is expanding internationally, but most of them are available only in English and there is not a single established methodology for translation. The objectives of this study were to demonstrate a translation technique and conduct a linguistic validation of the translation of the DASH from English to Spanish and to demonstrate and conduct a cultural validation across 8 Spanish-speaking countries. Methods A forward translation and review of the DASH score sheets and Rater's Handbook defined the consensus harmonized version. A backward translation was reviewed by the original authors and discussed with the translators to produce the approved harmonized version. This was then tested through a questionnaire to assess clarity, comprehensiveness, appropriateness, and cultural relevance among 5 monolingual subjects from 8 Spanish-speaking countries. Results During the forward translation, 16 discrepancies were detected in the Spanish DASH. Sixty-two participants were sent the Spanish cultural questionnaire and 48% responded. A total of 82 different interpretations and 57 extra recommendations (42% terms, 16% concepts, and 42% syntax) were made. Twenty-seven percent of them were applied. Conclusions The translated DASH has undergone a linguistic validation into Spanish, and a cultural validation across 8 Spanish-speaking countries. It may be used to assess debriefings in healthcare settings in these countries. The methodology used is applicable for translating and assessing a cross-cultural validation of assessment instruments.Background Mammogram screening for surveillance and detection of breast cancer has been long recognized as a preventive health measure in primary care for women. However, a clear consensus on when to start screening individual women, based on age and risk factors, lacks guidance. Reputable organizations uphold varying breast cancer screening (BCS) guidelines for women potentiating the risk for fragmented and inconsistent practices among health care providers (HCPs). Objectives This review aims to evaluate the current literature on the possible risks, benefits, and limitations associated with BCS for women between 40 and 49 years and to discuss the need for a more individualized, evidence-based approach to BCS. Data sources A comprehensive systematic review of eight articles, along with five clinical practice guidelines published within the past 10 years that address advantages and disadvantages of receiving mammography for women in their fourth decade was completed. Conclusions There is insufficient evidence to promote adherence to any single clinical practice guideline for the benefit of all patients.