Reimagining Residency Selection: Part 2-A Practical Guide to Interviewing in the Post-COVID-19 Era.
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ABSTRACT:
SUBMITTER: Sternberg K
PROVIDER: S-EPMC7594790 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
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Reimagining Residency Selection: Part 2-A Practical Guide to Interviewing in the Post-COVID-19 Era.
Sternberg Kevan K Jordan Jaime J Haas Mary R C MRC He Shuhan S Deiorio Nicole M NM Yarris Lalena M LM Chan Teresa M TM
Journal of graduate medical education 20201001 5
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Project description:ObjectiveTo evaluate urology applicants' opinions about the interview process during the COVID-19 pandemic.Material and methodsAn anonymous survey was emailed to applicants to our institution from the 2019 and 2020 urology matches prior to issuance of professional organization guidelines. The survey inquired about attitudes toward the residency interview process in the era of COVID-19 and which interview elements could be replicated virtually. Descriptive statistics were utilized.ResultsEighty percent of urology applicants from the 2019 and 2020 matches received our survey. One hundred fifty-six people (24% of recipients) responded. Thirty-four percent preferred virtual interviews, while 41% in-person interviews at each program, and 25% regional/centralized interviews. Sixty-four percent said that interactions with residents (pre/postinterview social and informal time) were the most important interview day component and 81% said it could not be replicated virtually. Conversely, 81% believed faculty interviews could be replicated virtually. Eighty-seven percent believed that city visits could not be accomplished virtually. A plurality felt that away rotations and second-looks should be allowed (both 45%).CommentApplicants feel that faculty interviews can be replicated virtually, while resident interactions cannot. Steps such as a low-stakes second looks after programs submit rank lists (potentially extending this window) and small virtual encounters with residents could ease applicant concerns.ConclusionApplicants have concerns about changes to the match processes. Programs can adopt virtual best practices to address these issues.
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Project description:BackgroundCountries around the world are using health technology assessment (HTA) for health benefit package design. Evidence-informed deliberative processes (EDPs) are a practical and stepwise approach to enhance legitimate health benefit package design based on deliberation between stakeholders to identify, reflect and learn about the meaning and importance of values, informed by evidence on these values. This paper reports on the development of practical guidance on EDPs, while the conceptual framework of EDPs is described in a companion paper.MethodsThe first guide on EDPs (2019) is further developed based on academic knowledge exchange, surveying 27 HTA bodies and 66 experts around the globe, and the implementation of EDPs in several countries. We present the revised steps of EDPs and how selected HTA bodies (in Australia, Brazil, Canada, France, Germany, Scotland, Thailand and the United Kingdom) organize key issues of legitimacy in their processes. This is based on a review of literature via PubMed and HTA bodies' websites.ResultsHTA bodies around the globe vary considerable in how they address legitimacy (stakeholder involvement ideally through participation with deliberation; evidence-informed evaluation; transparency; and appeal) in their processes. While there is increased attention for improving legitimacy in decision-making processes, we found that the selected HTA bodies are still lacking or just starting to develop activities in this area. We provide recommendations on how HTA bodies can improve on this.ConclusionThe design and implementation of EDPs is in its infancy. We call for a systematic analysis of experiences of a variety of countries, from which general principles on EDPs might subsequently be inferred.
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Project description:Methodological innovations have allowed researchers to consider increasingly sophisticated statistical models that are better in line with the complexities of real world behavioral data. However, despite these powerful new analytic approaches, sample sizes may not always be sufficiently large to deal with the increase in model complexity. This poses a difficult modeling scenario that entails large models with a comparably limited number of observations given the number of parameters. We here describe a particular strategy to overcoming this challenge, called regularization. Regularization, a method to penalize model complexity during estimation, has proven a viable option for estimating parameters in this small n, large p setting, but has so far mostly been used in linear regression models. Here we show how to integrate regularization within structural equation models, a popular analytic approach in psychology. We first describe the rationale behind regularization in regression contexts, and how it can be extended to regularized structural equation modeling (Jacobucci, Grimm, & McArdle, 2016). Our approach is evaluated through the use of a simulation study, showing that regularized SEM outperforms traditional SEM estimation methods in situations with a large number of predictors and small sample size. We illustrate the power of this approach in two empirical examples: modeling the neural determinants of visual short term memory, as well as identifying demographic correlates of stress, anxiety and depression. We illustrate the performance of the method and discuss practical aspects of modeling empirical data, and provide a step-by-step online tutorial.
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Project description:IntroductionProfessionalism is one of the Accreditation Council for Graduate Medical Education (ACGME) core competencies for Radiology residency training. The COVID-19 pandemic has changed the way resident education and training occurs. The primary objective of this paper is to perform a comprehensive systematic review of the literature pertaining to adapting professionalism training in radiology residency to the post COVID era education landscape.MethodsWe reviewed English-language medicine and health services literature for research that described professionalism training in radiology residency in the post-COVID era radiology search terms and key words in PubMed/MEDLINE and Scopus/Elsevier. Relevant studies were identified with adherence to the guidelines set forth by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement.ResultsThe search yielded a total 33 articles. We reviewed the citations and abstracts with the initial search yielding 22 articles (without duplicates). Of these, 10 were excluded based on the criteria set forth in the methods. The remaining unique 12 articles were included for qualitative synthesis.DiscussionThis article should provide radiology educators with the tool they need to effectively education and evaluate radiology residents on professionalism in the post-COVID era.
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