Project description:Background:Although education is critical to the mission of academic medical centers in the United States, it is often not quantified and monetized as are their research and clinical missions. We undertook this survey to assess the perceived valuation of educational endeavors of plastic surgeon faculty at the U.S. academic medical centers. Methods:A survey using Qualtrics software (Qualtrics, Provo, UT) was distributed to faculty members of the American Council of Academic Plastic Surgeons by electronic mail in February 2015. A total of 16 questions included both demographic information and Likert-item questions of perception of valuation of educational activities. For analysis, responses were grouped according to an adapted Net Promoter Score including "unsupportive" (0-6), "neutral" (7-8), and "supportive" (9-10). Results:Sixty-five surveys were completed out of a total of 406, with an overall response rate of 16%. Kruskal-Wallis statistical analysis demonstrated that region and rank were not significant in perception of hospital or departmental support for educational activities. Respondents rated their departments as more supportive than their institutions (P < 0.05), and average perceived value rating of institutions was "unsupportive." Financial support was associated with higher ratings with respect to support of institutions and departments. Mid-career faculty displayed a trend toward lower ratings of perception of support. Conclusions:The majority of respondents perceived their institutions and departments as unsupportive of educational effort. Direct compensation to physicians for teaching efforts may improve faculty retention in academia and reduce physician burnout.
Project description:BackgroundMedical schools should also evaluate applicants' non-academic characteristics in the search for successful students and future physicians, but ideal non-academic criteria have not yet been found. We followed two successive generations of medical students at the University of Split School of Medicine (USSM) to assess both academic and non-academic constructs as predictors of academic performance, defined as medical school grade point average (GPA). We also interviewed some of the participants to gain additional insight for future studies.MethodsWe measured study GPA in first and last year, as well as attitudes towards science, motivation, emotional intelligence, self-esteem, and perceived personal incompetence in first year. We also obtained their scores on existing medical school enrollment criteria, the State Graduation Exam (SGE) and high-school GPA. Regression models were constructed for predictors of GPA in the last year of medical school. Four structured pilot interviews were conducted to explore participants' perceptions of necessary traits for medical school and later practice.ResultsRegression analysis showed that only SGE predicted final academic performance in medical school (β=0.35, 95% confidence interval (CI)=0.06-0.64), while none of the non-academic constructs we assessed predicted this outcome of education. The two generations did not significantly differ in any variable except that intrinsic motivation was higher in the generation that enrolled in 2011 (OR=1.47, 95%CI=1.12-1.93, P=0.005).DiscussionNone of the non-academic constructs predicted academic performance in medical school. Their use as selection criteria may not be warranted as they could impact the academic quality of enrolling medical students.
Project description:BackgroundAcademic Medical Centers (AMCs) must simultaneously serve different purposes: Delivery of high quality healthcare services to patients, as the main mission, supported by other core missions such as academic activities, i.e., researching, teaching and tutoring, while maintaining solvency. This study aims to develop a methodology for constructing models evaluating the academic value provided by AMCs and implementing it at the largest AMC in Israel.MethodsThirty five practiced educators and researchers, academic experts, faculty members and executives, all employed by a metropolitan 1500-bed AMC, were involved in developing academic quality indicators. First, an initial list of AMCs' academic quality indicators was drafted, using a literature review and consulting scholars. Afterwards, additional data and preferences were collected by conducting semi-structured interviews, complemented by a three-round Delphi Panel. Finally, the methodology for constructing a model evaluating the academic value provided by the AMC was developed.ResultsThe composite academic quality indicators methodology consists of nine indicators (relative weight in parentheses): 'Scientific Publications Value' (18.7%), 'Completed Studies' (13.5%), 'Authors Value' (13.0%), 'Residents Quality' (11.3%), 'Competitive Grants Budget' (10.2%), 'Academic Training' (8.7%), 'Academic Positions' (8.3%), 'Number of Studies' (8.3%) and 'Academic Supervision' (8.0%). These indicators were grouped into three core categories: 'Education', 'Research' and 'Publications', having almost the same importance on a scale from zero to one (0-1), i.e., 0.363, 0.320, and 0.317, respectively. The results demonstrated a high level of internal consistency (Cronbach-alpha range: 0.79-0.86).ConclusionsWe have found a gap in the ability to measure academic value provided by AMCs. The main contribution of this research is the development of methodology for constructing evaluation models for AMCs academic performance. Further studies are needed to further test the validity and reliability of the proposed methodology at other sites.
Project description:BackgroundThis differential diagnosis of allergic vs non-allergic asthma is typically made on the basis of sensitization to allergens, such that absence of sensitization could result in a patient being managed as having non-allergic asthma. In Germany, the number of specific allergen tests is limited and non-standardized (across clinicians and laboratories), with the potential for false negative diagnoses. IDENTIFY aimed to gain data on sensitizations toward aeroallergens in patients with severe asthma who had tested negative to perennial aeroallergens in previous tests.MethodsThis was a single visit, non-randomized, non-interventional study conducted in 87 centers across Germany. The only inclusion criteria were that patients had to be adults (at least 18 years of age) with a diagnosis of severe asthma (receiving at least Global Initiative for Asthma Step IV therapy), and who had previously tested negative to perennial aeroallergens. Patients were then tested for sensitization to a panel of 35 perennial aeroallergens, with positive sensitization indicated by CAP ≥ 0.35 kU/L.ResultsOf 588 patients recruited, 454 had complete and valid data, and had previously tested negative to perennial aeroallergens. Overall, 43.6% of the analyzed patients tested positive for at least one of the included aeroallergens, with 18.7% testing positive for three or more, and 4.2% positive for more than ten. The five most common sensitizations were to Staphylococcus aureus enterotoxin B, Aspergillus fumigatus, Candida albicans, Dermatophagoides farinae, and Rhizopus nigricans, each of which tested positive in at least 9.7% of the population.ConclusionsIn this group of patients being managed as having non-allergic asthma (and who had all previously tested negative to perennial aeroallergens), a high proportion tested positive to a broad panel of aeroallergens. A diagnosis of allergic asthma therefore cannot be excluded purely on the basis of standard aeroallergen panels.
Project description:BackgroundCancer therapy and outcomes are known to be affected by various demographic features and hospital types. We aimed to identify the characteristics of non-Hodgkin's lymphoma (NHL) patients associated with receipt of care at academic centers.MethodThis is a retrospective study of all patients diagnosed with nodal NHL between 2000 and 2011 in the National Cancer Database (NCDB), who received the diagnosis, and all or part of their initial therapy in the reporting hospital (n = 243,436). Characteristics of patients receiving care in academic versus nonacademic centers were compared using the Chi-square test.ResultsApproximately 27% received care in academic centers. Patients receiving care in nonacademic centers, compared with academic centers, were more likely to be ⩾60 years (69% versus 58%, p < .0001), White (89% versus 80%, p < .0001) and have lower educational attainment (>12% without high school diploma: 72% versus 69%, p < .0001) and economic status (household income <$49,000: 66% versus 61%, p < 0.0001). Patients receiving care in nonacademic centers were less likely to travel ⩾25 miles (21% versus 26%, p < 0.0001). White patients, compared with non-Whites, were more likely to be ⩾60 years (70% versus <50%, p < 0.0001), which probably explains less care in academic centers.ConclusionsPatients ⩾60 years and those with poorer educational attainment and economic status were less likely to receive care in academic centers. Care in academic centers required a longer commute. Elderly patients frequently have inferior outcomes and may benefit from clinical trials with novel agents and expertise at academic centers.
Project description:Non-epithelial ovarian cancers (NEOC) are a group of uncommon malignancies that mainly includes germ cell tumours (GCT), sex cord-stromal tumours (SCST), and some extremely rare tumours, such as small cell carcinomas and sarcomas. Each of these classifications encompasses multiple histologic subtypes. The aetiology and molecular origins of each sub-group of NEOC require further investigation, and our understanding on the genetic changes should be optimised. In this article, we provide an update on the clinical presentation, pathology, genetics, treatment and survival of the main histological subtypes of the GCT and the SCST, as well as of ovarian small cell carcinomas. We also discuss miRNA expression profiles of NEOC and report the currently active clinical trials that include NEOC.
Project description:ObjectivesMindfulness has been defined differently in academic scientific contexts and in Buddhist academic contexts. An under-studied area is that of lay (non-academic) theories of mindfulness. The goal of this article is to identify, organize, analyze in detail, and provide themes from the meditators' definitions of mindfulness. Possible differences and similarities of the collected definitions of mindfulness with the scientific-academic definitions and with the academic-Buddhist definitions are also checked.MethodsA qualitative and inductive thematic analysis on the definitions of mindfulness offered by the participants was carried out.ResultsThe sample consisted of 326 meditators who offered a definition of mindfulness through an open question. Seven themes were identified: (1) mindfulness defined as attention/awareness; (2) mindfulness defined as a non-evaluative attitude; (3) mindfulness defined as strategy; (4) mindfulness defined from a theoretical analysis; (5) mindfulness defined as a psycho-affective-spiritual state; (6) mindfulness defined as personal development; and (7) lack of understanding of mindfulness. From these themes, it can be deduced that the definitions collected share more patterns of meaning with the scientific-academic definition of mindfulness than with the academic-Buddhist one.ConclusionsThe findings of this study provide new insights into the complexity and heterogeneity of the definition of mindfulness. What has been discovered may indicate the complexity of the mindfulness construct itself.Supplementary informationThe online version contains supplementary material available at 10.1007/s12671-022-01899-3.
Project description:Recent calls to action urge sweeping reform in science education, advocating for improved learning for all students-including those majoring in fields beyond the sciences. However, little work has been done to characterize the differences-if any exist-between students planning a career in science and those studying other disciplines. We describe an attempt to clarify, in broad terms, how non-STEM (science, technology, engineering, and mathematics) majors differ from life sciences majors, and how they are similar. Using survey responses and institutional data, we find that non-STEM majors are not unilaterally science averse; non-STEM majors are more likely than biology majors to hold misconceptions about the nature of science, yet they are not completely ignorant of how science works; non-STEM majors are less likely than biology majors to see science as personally relevant; and non-STEM majors populations are likely to be more diverse-with respect to incoming knowledge, perceptions, backgrounds, and skills-than a biology majors population. We encourage science educators to consider these characteristics when designing curricula for future scientists or simply for a well-informed citizenry.
Project description:The increasing relevance of societal challenges has recently brought social entrepreneurship to the fore due to its capacity to leverage entrepreneurial processes to achieve social value while ensuring profits. In this study, we apply an experimental research method to analyse the concept of social entrepreneurship comprehensively. More specifically, we develop bibliometric analysis and web crawling techniques to gather information related to social entrepreneurship from Scopus and Wikipedia. We conduct a comparative network analysis of social entrepreneurship’s conceptual structure at academic and non-academic levels. This analysis has been performed considering scientific articles’ keywords and Wikipedia webpages’ co-occurrences, enabling us to identify four different thematic clusters in both cases. Moreover, plotting the centrality and density of each cluster on a bi-dimensional matrix, we have sketched a strategic diagram and provided the thematic evolution of this research topic, based on the level of interaction among clusters, and the degree of cohesion of keywords in each cluster. This paper represents one of the first attempts in the entrepreneurship literature to shed light on the conceptual boundaries of a research topic based on the analysis of both a scientific and an open-source knowledge database. Our results reveal similarities and discrepancies between those two different sources of knowledge, and outline avenues for future studies at the intersection between social entrepreneurship and the research domains of digital transformation, performance measurement, entrepreneurial ecosystems, and ethics. We also call for a further conceptualisation of social entrepreneurship in the face of the increasing complexity that characterises grand challenges. Supplementary information The online version contains supplementary material available at 10.1007/s11365-021-00783-1.