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A Qualitative,Cross-Sectional Study of Positive and Negative Comments of Residency Programs Across 9 Medical and Surgical Specialties
Authors:Brittany O Dulmage  Lisa Akintilo  Leah J Welty  Matthew M Davis  Maria Colavincenzo  Shuai Xu
Institution:1. Department of Dermatology, Northwestern University Feinberg School of Medicine, Chicago, Ill;2. Medical Education Clinical Scholars Program, Northwestern University Feinberg School of Medicine, Chicago, Ill;3. Northwestern University Feinberg School of Medicine, Chicago, Ill;4. Division of Biostatistics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Ill;5. Ann & Robert H. Lurie Children''s Hospital of Chicago, Chicago, Ill;6. Center for Bio-Integrated Electronics, Northwestern University, Evanston, Ill
Abstract:

IMPORTANCE

Residency applicants often use social media to discuss the positive and negative features of prospective training programs. An examination of the content discussed by applicants could provide guidance for how a medical education faculty can better engage with prospective trainees and adapt to meet the educational expectations of a new generation of digital-native physicians.

OBJECTIVE

The objective was to identify unstructured social media data submitted by residency applicants and categorize positive and negative statements to determine key themes.

DESIGN

The study design was qualitative analysis of a retrospective cohort.

SETTING

Publicly available datasets were used.

PARTICIPANTS

The participants were anonymized medical trainees applying to residency training positions in 9 specialties—dermatology, general surgery, internal medicine, obstetrics/gynecology, plastic surgery, otolaryngology, physical medicine and rehabilitation, pediatrics, and radiology—from 2007 to 2017.

MAIN OUTCOMES AND MEASURES

After we developed a standardized coding scheme that broke comments down into major features, themes, and subthemes, all unstructured comments were coded by two independent researchers. Positive and negative comments were coded separately. Frequency counts and percentages were recorded for each identified feature, theme, and subtheme. The percent positive and negative comments by specialty were also calculated.

RESULTS

: Of the 6314 comments identified, 4541 were positive and 1773 were negative. Institution was the most commonly cited major feature in both the positive (n?=?767 17%]) and negative (n?=?827 47%]) comments. Geography was the most cited theme, and City, Cost of Living, and Commute were commonly cited subthemes. Training was the next most cited major feature in both positive (n?=?1005 22%]) and negative (n?=?291 16%]) comments, with Clinical Training being more commonly cited compared to Research Opportunities. Overall, 72% of comments from all were positive; however, the percent of comments that were positive comments varied significantly across the 9 specialties. Pediatrics (65%), dermatology (66%), and internal medicine (68%) applicants were more likely to express negative comments compared with the global average, but physical medicine and rehabilitation (85%), radiology (82%), otolaryngology (81%), and plastic surgery (80%) applicants were more likely to express positive comments.

CONCLUSIONS AND RELEVANCE

This qualitative analysis of positive and negative themes as posted by applicants in recent matching years is the first and provides new detailed insights into the motivations and desires of trainees.
Keywords:Internet  Social media  Medical education  Residency  Resident matching
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