Objective: Radiology residency education must evolve to meet the growing demands of radiology training. Resident opinions are a major resource to identify needs. However, few published data are available on a national level investigating the radiology resident perspective on factors that influence the resident experience. Our study investigates factors that affect residents' satisfaction with their residency experience and education.

Materials And Methods: A 67-item survey was sent to all radiology residency program directors and coordinators in the United States to be distributed at their discretion. Questions were multiple choice, free-text answer, or 5-point Likert scale. Statistical significance (p < 0.05) was determined using chi-square test, t test, and logistic regression analysis, respectively.

Results: Two hundred seventeen radiology residents responded to the survey (range, 212-217 responses per question). Overall, 77.8% (168/216) of residents were satisfied with their residency programs. Subcategories that showed a statistically significant correlation with overall satisfaction, in decreasing strength according to the odds ratio (OR), include the program director or administrative office (OR, 72.2; 95% CI, 27.4-221.9), the daily workstation experience (OR, 30.5; 95% CI, 12.8-80.9), the faculty (OR, 19.5; 95% CI, 8.9-45.4), educational conferences (OR, 7.9; 95% CI, 3.9-16.4), work hours (OR, 6.4; 95% CI, 3.2-13.2), teaching opportunities (OR, 6.5; 95% CI, 3.1-13.8), research opportunities (OR, 5.1; 95% CI, 2.6-10.6), personal study (OR, 2.1; 95% CI, 1.1-4.1), and compensation (OR, 1.9; 95% CI, 1.0-3.7).

Conclusion: Our study provides incremental data to the existing literature that offers insight into factors that contribute to a successful radiology residency program.

Download full-text PDF

Source
http://dx.doi.org/10.2214/AJR.15.15020DOI Listing

Publication Analysis

Top Keywords

radiology residency
12
95%
9
united states
8
program directors
8
residency program
8
opportunities 95%
8
radiology
7
program
5
residency
5
radiology resident'
4

Similar Publications

Purpose: To compare the performance of ultrafast MRI with standard MRI in classifying histological factors and subtypes of invasive breast cancer among radiologists with varying experience.

Methods: From October 2021 to November 2022, this prospective study enrolled 225 participants with 233 breast cancers before treatment (NCT06104189 at clinicaltrials.gov).

View Article and Find Full Text PDF

Liver cancer is a prevalent form of carcinoma worldwide. A novel chitosan-coated optimized formulation capped with irradiated silver nanoparticles (INops) was fabricated to boost the anti-malignant impact of rosuvastatin calcium (RC). Using a 2-factorial design, eight formulations were produced using the solvent evaporation process.

View Article and Find Full Text PDF

Medical Visual Question Answering aims to assist doctors in decision-making when answering clinical questions regarding radiology images. Nevertheless, current models learn cross-modal representations through residing vision and text encoders in dual separate spaces, which inevitably leads to indirect semantic alignment. In this paper, we propose UnICLAM, a Unified and Interpretable Medical-VQA model through Contrastive Representation Learning with Adversarial Masking.

View Article and Find Full Text PDF

Advanced cardiac imaging modalities have revolutionized the field of cardiovascular medicine, offering invaluable tools for both diagnosis and the management of a wide spectrum of cardiovascular diseases. These imaging methods, including echocardiography, cardiac computed tomography (CT), computed tomography angiography (CTA), cardiac magnetic resonance imaging (MRI), nuclear imaging, and fluoroscopy, offer various approaches to evaluate both the structure and function of the heart. This article provides an overview of imaging modalities for primary care physicians, highlighting their types, advantages, limitations and clinical uses.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!