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Dive into the research topics where Shalini T. Reddy is active.

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Featured researches published by Shalini T. Reddy.


Journal of General Internal Medicine | 2010

Hand-off Education and Evaluation: Piloting the Observed Simulated Hand-off Experience (OSHE)

Jeanne M. Farnan; John A. M. Paro; Renee M. Rodriguez; Shalini T. Reddy; Leora I. Horwitz; Julie K. Johnson; Vineet M. Arora

AimThe Observed Simulated Hand-off Experience (OSHE) was created to evaluate medical students’ sign-out skills using a real-time assessment tool, the Hand-off CEX.SettingThirty-two 4th year medical students participated as part of an elective course.Program descriptionOne week following an interactive workshop where students learned effective hand-off strategies, students participated in an experience in which they performed a hand-off of a mock patient using simulated history and physical examination data and a brief video.Program evaluationInternal medicine residents served as standardized hand-off receivers and were trained on expectations. Students were provided feedback using a newly developed Hand-off CEX, based on the “Mini-CEX,” which rates overall hand-off performance and its components on a 9-point Likert-type scale. Outcomes included performance ratings and pre- and post-student self-assessments of hand-off preparedness. Data were analyzed using Wilcoxon signed-rank tests and descriptive statistics. Resident receivers rated overall student performance with a mean score of 6.75 (range 4–9, maximum 9). Statistically significant improvement was observed in self-perceived preparedness for performing an effective hand-off (67% post- vs. 27% pre-reporting ‘well-prepared,’ p < 0.009).DiscussionThis brief, standardized hand-off training exercise improved students’ confidence and was rated highly by trained observers. Future work focuses on formal validation of the Hand-off CEX instrument.


Academic Medicine | 2007

Third-year medical students' participation in and perceptions of unprofessional behaviors.

Shalini T. Reddy; Jeanne M. Farnan; John D. Yoon; Troy Leo; Gaurav A. Upadhyay; Holly J. Humphrey; Vineet M. Arora

Background Students’ perceptions of and participation in unprofessional behaviors may change during clinical clerkships. Method Third-year students anonymously reported observation, participation, and perceptions of 27 unprofessional behaviors before and five months after clerkships. Results Student observation (21 of 27) and participation (17 of 27) in unprofessional behaviors increased (P < .05). Students perceived unprofessional behaviors as increasingly appropriate (P < .05 for six behaviors). Participation in unprofessional behaviors was associated with diminished likelihood of perceiving a behavior as unprofessional (P < .05 for nine behaviors). Conclusions Student observation and participation in unprofessional behaviors increased during clerkships. Participation in unprofessional behaviors is associated with perceiving these behaviors as acceptable.


Academic Medicine | 2012

The prevalence and nature of postinterview communications between residency programs and applicants during the match.

Anupam B. Jena; Vineet M. Arora; Karen E. Hauer; Steven J. Durning; Borges N; Nancy E. Oriol; Elnicki Dm; Mark J. Fagan; Heather Harrell; Dario M. Torre; Meryl Prochaska; David O. Meltzer; Shalini T. Reddy

Purpose To examine the frequency and nature of postinterview communications between programs and applicants during the National Resident Matching Program (NRMP) Main Residency Match. Method The authors surveyed senior medical students at seven U.S. medical schools about postinterview communications with residency programs during the 2010 Match and analyzed the data. Results The response rate was 68.2% (564/827). Among respondents, 86.4% reported communicating with residency programs. Most (59.9%) reported telling more than one program they would rank it highly; 1.1% reported telling more than one they would rank it first. Students reported that programs told them they would be “ranked to match” (34.6%), be “ranked highly” (52.8%), or “fit well” (76.2%). Almost one-fifth (18.6 %) reported feeling assured by a program that they would match there but did not despite ranking that program first; 23.4% reported altering their rank order list based on communications with programs. In multivariate analysis, applicants to more competitive specialties were less likely to report being told they would be “ranked to match” (relative risk [RR] 0.72, 95% confidence interval [CI] 0.52–0.99). Applicants were more likely to report being told that they would be “ranked to match” if they received honors in the specialty clerkship (RR 1.39, 95% CI 1.10–1.77) or were members of Alpha Omega Alpha (RR 1.72, 95% CI 1.37–2.17). Conclusions Reports of nonbinding communications with programs were frequent. Students should be advised to interpret any comments made by programs cautiously. Reported violations of the NRMP’s Match Participation Agreement were uncommon.


Medical Teacher | 2016

Improving response rates and evaluating nonresponse bias in surveys: AMEE Guide No. 102

Andrew W. Phillips; Shalini T. Reddy; Steven J. Durning

Abstract Robust response rates are essential for effective survey-based strategies. Researchers can improve survey validity by addressing both response rates and nonresponse bias. In this AMEE Guide, we explain response rate calculations and discuss methods for improving response rates to surveys as a whole (unit nonresponse) and to questions within a survey (item nonresponse). Finally, we introduce the concept of nonresponse bias and provide simple methods to measure it.


Academic Medicine | 2013

A good career choice for women: Female medical students' mentoring experiences: A multi-institutional qualitative study

Rachel B. Levine; Hilit F. Mechaber; Shalini T. Reddy; Danelle Cayea; Rebecca A. Harrison

Purpose The career decisions, practice patterns, and approach to patient care of current female students, who make up close to 50% of medical school classes, will have a profound impact on the profession. This study explores the role gender plays in the mentoring experiences of female medical students. Method In 2011, the authors conducted focus groups with 48 third- and fourth-year female medical students at four U.S. medical schools. Using a template organizing style, they derived themes in an iterative process to explore female medical students’ mentoring relationships and the impact of gender on those relationships. Results The authors identified four major themes: (1) Optimal mentoring relationships are highly relational. Students emphasized shared values, trust, and a personal connection in describing ideal mentoring relationships. (2) Relational mentoring is more important than gender concordance. Students identified a desire for access to female mentors but stated that when a mentor and mentee developed a personal connection, the gender of the mentor was less important. (3) Gender-based assumptions and stereotypes affect mentoring relationships. Students described gender-based assumptions and expectations for themselves and their mentors. (4) Gender-based power dynamics influence students’ thinking about mentoring. Students stated that they were concerned about how their mentors might perceive their professional decisions because of their gender, which influenced what they disclosed to male mentors and mentors in positions of power. Conclusions Gender appears to play a role in female medical students’ expectations and experience with mentoring relationships and may influence their decision making around career planning.


Academic Medicine | 2014

Lifestyle factors and primary care specialty selection: comparing 2012-2013 graduating and matriculating medical students' thoughts on specialty lifestyle.

Kimberly L. Clinite; Kent J. DeZee; Steven J. Durning; Jennifer R. Kogan; Terri Blevins; Calvin L. Chou; Gretchen Diemer; Dana W. Dunne; Mark J. Fagan; Paul J. Hartung; Stephanie M. Kazantsev; Hilit F. Mechaber; Douglas S. Paauw; Jeffrey G. Wong; Shalini T. Reddy

Purpose To compare how first-year (MS1) and fourth-year students (MS4) ascribe importance to lifestyle domains and specialty characteristics in specialty selection, and compare students’ ratings with their primary care (PC) interest. Method In March 2013, MS4s from 11 U.S. MD-granting medical schools were surveyed. Using a five-point Likert-type scale (1 = not important at all; 5 = extremely important), respondents rated the importance of 5 lifestyle domains and 21 specialty selection characteristics. One-way analysis of variance was used to assess differences by PC interest among MS4s. Using logistic regression, ratings from MS4s were compared with prior analyses of ratings by MS1s who matriculated to the same 11 schools in 2012. Results The response rate was 57% (965/1,701). MS4s, as compared with MS1s, rated as more important to good lifestyle: time off (4.3 versus 4.0), schedule control (4.2 versus 3.9), and financial compensation (3.4 versus 3.2). More MS4s than MS1s selected “time-off” (262/906 [30%] versus 136/969 [14%]) and “control of work schedule” (169/906 [19%] versus 146/969 [15%]) as the most important lifestyle domains. In both classes, PC interest was associated with higher ratings of working with the underserved and lower ratings of prestige and salary. Conclusions In the 2012–2013 academic year, matriculating students and graduating students had similar perceptions of lifestyle and specialty characteristics associated with PC interest. Graduating students placed more importance on schedule control and time off than matriculating students. Specialties should consider addressing a perceived lack of schedule control or inadequate time off to attract students.


Academic Medicine | 2013

Primary Care, the ROAD Less Traveled: What First-Year Medical Students Want in a Specialty

Kimberly L. Clinite; Shalini T. Reddy; Stephanie M. Kazantsev; Jennifer R. Kogan; Steven J. Durning; Terri Blevins; Calvin L. Chou; Gretchen Diemer; Dana W. Dunne; Mark J. Fagan; Paul J. Hartung; Hilit F. Mechaber; Douglas S. Paauw; Jeffrey G. Wong; Kent J. DeZee

Purpose Medical students are increasingly choosing non-primary-care specialties. Students consider lifestyle in selecting their specialty, but how entering medical students perceive lifestyle is unknown. This study investigates how first-year students value or rate lifestyle domains and specialty-selection characteristics and whether their ratings vary by interest in primary care (PC). Method During the 2012–2013 academic year, the authors conducted a cross-sectional survey of first-year medical students from 11 MD-granting medical schools. Using a five-point Likert-type scale (1 = not important at all; 5 = extremely important), respondents rated the importance of 5 domains of good lifestyle and 21 characteristics related to specialty selection. The authors classified students into five groups by PC interest and assessed differences by PC interest using one-way analysis of variance. Results Of 1,704 participants, 1,020 responded (60%). The option “type of work I am doing” was the highest-rated lifestyle domain (mean 4.8, standard deviation [SD] 0.6). “Being satisfied with the job” was the highest-rated specialty-selection characteristic (mean 4.7, SD 0.5). “Availability of practice locations in rural areas” was rated lowest (mean 2.0, SD 1.1). As PC interest decreased, the importance of “opportunities to work with underserved populations” also decreased, but importance of “average salary earned” increased (effect sizes of 0.98 and 0.94, respectively). Conclusions First-year students valued enjoying work. The importance of financial compensation was inversely associated with interest in PC. Examining the determinants of enjoyable work may inform interventions to help students attain professional fulfillment in PC.


Academic Medicine | 2010

Changes in perception of and participation in unprofessional behaviors during internship

Vineet M. Arora; Diane B. Wayne; R. Andy Anderson; Aashish Didwania; Jeanne M. Farnan; Shalini T. Reddy; Holly J. Humphrey

Background Do perceptions of and participation in unprofessional behaviors change during internship? Method Interns at three Chicago medicine residencies anonymously reported participation in unprofessional behaviors before and after internship. On the basis of a prior survey, interns rated 28 unprofessional behaviors from 1 (unprofessional) to 5 (professional). Site-adjusted regression examined changes in participation rates and perception scores. Results Response rates were 93% (105) before and 88% (99) after internship. Participation in on-call unprofessional behaviors increased (“blocking” admissions [12% versus 41%, P < .001], disparaging the ER [27% versus 45%, P = .005], misrepresenting tests as urgent to expedite care [40% versus 60%; P = .003], and signing out by phone [20% versus 42%, P < .001]). Participation in egregious behaviors (fraud, disrespect, misrepresentation) and perceptions of most behaviors remained unchanged. Conclusions Although participation in egregious unprofessional behavior remained unchanged during internship, participation in on-call unprofessional behaviors increased.


Academic Medicine | 2017

Surveys of Health Professions Trainees: Prevalence, Response Rates, and Predictive Factors to Guide Researchers

Andrew W. Phillips; Benjamin T. Friedman; Amol Utrankar; Andrew Q. Ta; Shalini T. Reddy; Steven J. Durning

Purpose To establish a baseline overall response rate for surveys of health professions trainees, determine strategies associated with improved response rates, and evaluate for the presence of nonresponse bias. Method The authors performed a comprehensive analysis of all articles published in Academic Medicine, Medical Education, and Advances in Health Sciences Education in 2013, recording response rates. Additionally, they reviewed nonresponse bias analyses and factors suggested in other fields to affect response rate including survey delivery method, prenotification, and incentives. Results The search yielded 732 total articles; of these, 356 were research articles, and of these, 185 (52.0%) used at least one survey. Of these, 66 articles (35.6%) met inclusion criteria and yielded 73 unique surveys. Of the 73 surveys used, investigators reported a response rate for 63.0% of them; response rates ranged from 26.6% to 100%, mean (standard deviation) 71.3% (19.5%). Investigators reported using incentives for only 16.4% of the 73 surveys. The only survey methodology factor significantly associated with response rate was single- vs. multi-institutional surveys (respectively, 74.6% [21.2%] vs. 62.0% [12.8%], P = .022). Notably, statistical power for all analyses was limited. No articles evaluated for nonresponse bias. Conclusions Approximately half of the articles evaluated used a survey as part of their methods. Limited data are available to establish a baseline response rate among health professions trainees and inform researchers which strategies are associated with higher response rates. Journals publishing survey-based health professions education research should improve reporting of response rate, nonresponse bias, and other survey factors.


Teaching and Learning in Medicine | 2014

Alliance for Clinical Education Perspective Paper: Recommendations for Redesigning the “Final Year” of Medical School

Shalini T. Reddy; Jason Chao; Jonathan L. Carter; Robert P. Drucker; Nadine T. Katz; Robert R. Nesbit; Brenda Roman; Joshua Wallenstein; Gary L. Beck

Background: Although medical school typically lasts 4 years, little attention has been devoted to the structure of the educational experience that takes place during the final year of medical school. Summary: In this perspectives paper, we outline goals for the 4th year of medical school to facilitate a transition from undergraduate to graduate medical education. We provide recommendations for capstone courses, subinternship rotations, and specialty-specific schedules, and we conclude with recommendations to medical students and medical schools for how to use the recommendations contained in this document. Conclusions: We provide an overview of general competencies and specialty specific recommendations to serve as a foundation for medical schools to develop robust 4th-year curricula and for medical students to plan their 4th-year schedules.

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Steven J. Durning

Uniformed Services University of the Health Sciences

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Ara Tekian

University of Illinois at Chicago

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Yoon Soo Park

University of Illinois at Chicago

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