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Purpose: Medical students experience anxiety at higher rates than the general public and many are uniquely affected by additional test anxiety throughout their medical education. Although test anxiety has been studied for decades, little evidence has been published suggesting interventions improve examination performance in medical education. Therefore, we set out to review the current literature to elucidate efforts so far and establish trends in research. Methods: Databases searched included PubMed, EMBASE, PsychINFO, ERIC, SCOPUS, and CINAHL. English language articles published between 2010 and 2021 were loaded into a reference manager to screen out duplicate articles. During the full-text screen and data extraction phase, reference lists were also inspected to identify additional articles for inclusion in the study. Results: Of 883 studies identified, 860 were excluded resulting in 22 studies for extraction and analysis. First-year (n = 15) and second-year (n = 12) students were primarily tested. Less than 10 included third- or fourth-year students. Self-help and wellness interventions were employed, though interventions ranged from dog therapy to deep breathing techniques to fish oil supplementation. Test anxiety was evaluated using self-report questionnaires, such as the Westside Test Anxiety Scale, Beck Anxiety Inventory, and State-Trait Anxiety Inventory. None of the studies reported improved examination scores. Conclusion: This review identifies a variety of measurement tools and interventions attempting to mitigate test anxiety. As far as improving examination performance, none of the interventions reported was successful. Further research addressing test anxiety that results in improved medical student academic performance should be conducted and also use established assessment tools.
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Purpose: This paper aims to characterize the use of demographic data in multiple-choice questions from a commercial preclinical question bank and determine if there is appropriate use of different distractors. Background: Multiple-choice questions for medical students often include vignettes describing a patient's presentation to help guide students to a diagnosis, but overall patterns of usage between different types of nonmedical patient information in question stems have yet to be determined. Methods: Three hundred eighty of 453 randomly selected questions were included for analysis after determining they contained a clinical vignette and required a diagnosis. The vignettes and following explanations were then examined for the presence/absence of 11 types of demographic information, including age, sex/gender, and socioeconomic status. We compared both the usage frequency and relevance between the 11 information types. Results: Most information types were present in less than 10% of clinical vignettes, but age and sex/gender were present in over 95% of question stems. Over 50% of questions included irrelevant information about age and sex/gender, but 75% of questions did not include any irrelevant information of other types. Patient weight and environmental exposures were significantly more likely to be relevant than age or sex/gender. Discussion: Students using the questions in this study will frequently gain practice incorporating age and sex/gender into their clinical reasoning while receiving little exposure to other demographic information. Based on our findings, we posit that questions could include more irrelevant information, outside age and sex/gender, to better approximate real clinical scenarios and ensure students do not overvalue certain demographic data. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-023-01778-z.
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Viruses are major contributors to the annual 1.3 million deaths associated with the global burden of diarrheal disease morbidity and mortality. While household-level water treatment technologies reduce diarrheal illness, the majority of filtration technologies are ineffective in removing viruses due to their small size relative to filter pore size. In order to meet the WHO health-based tolerable risk target of 10-6 Disability Adjusted Life Years per person per year, a drinking water filter must achieve a 5 Log10 virus reduction. Ceramic pot water filters manufactured in developing countries typically achieve less than 1 Log10 virus reductions. In order to overcome the shortfall in virus removal efficiency in household water treatment filtration, we (1) evaluated the capacity of chitosan acetate and chitosan lactate, as a cationic coagulant pretreatment combined with ceramic water filtration to remove lab cultured and sewage derived viruses and bacteria in drinking waters, (2) optimized treatment conditions in waters of varying quality and (3) evaluated long-term continuous treatment over a 10-week experiment in surface waters. For each test condition, bacteria and virus concentrations were enumerated by culture methods for influent, controls, and treated effluent after chitosan pretreatment and ceramic water filtration. A > 5 Log10 reduction was achieved in treated effluent for E.coli, C. perfringens, sewage derived E. coli and total coliforms, MS2 coliphage, Qß coliphage, ΦX174 coliphage, and sewage derived F+ and somatic coliphages.
