2023 Health Sciences Research Day (MU)

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https://hdl.handle.net/10355/97442

Each year, the University of Missouri provides a forum to highlight original research and educational innovations by undergraduate, medical, nursing and health professions students, as well as predoctoral and postdoctoral trainees working with faculty in the schools of medicine, nursing, and health professions.

The 2023 Health Sciences Research Day was held on November 10, 2023. Organized and sponsored by the MU School of Medicine Research Council, Health Sciences Research Day also partners with the MU School of Medicine, MU Sinclair School of Nursing and MU College of Health Sciences.

This day-long symposium—filled with poster presentations—awards prizes to the three best presentations in each of several student categories. Special Deans’ Awards recognize the most outstanding research conducted by trainees from the schools of nursing, health professions and medicine.

Undergraduate, medical, nursing and health professions students, as well as predoctoral and postdoctoral trainees working with faculty in the schools of medicine, nursing, and health professions are invited to present results of their research. No more than two posters may be presented by those listed as the first author. Holders of academic titles are not eligible to submit abstracts, except through mentoring roles.

Source: Health Sciences Research Day website (viewed January 10, 2024), https://medicine.missouri.edu/offices-programs/research/events/health-sciences-research-day

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Now showing 1 - 5 of 39

Rare case of b-cell acute lymphoblastic leukemia with t(14;14)(q11.2;q32)
(University of Missouri--Columbia, 2023) Banker, Linnea; Sholy, Christine; Chelapareddy, Lakshmi; Hammer, Richard D.; Health Sciences Research Day (2023 : University of Missouri)
"A 53-year-old female with no significant medical history presented to University Hospital with fatigue & abnormalities on complete blood count at an outside institution. White blood cell count (WBC) was 36.19x109/L with a differential including 66% blasts, hemoglobin was 6.2g/dL, & platelet count was 12.4x109/L A peripheral blood smear (PBS) & bone marrow (BM) aspirate & biopsy were obtained for analysis."--Introduction.
Identifying SDOH experienced by individuals with food insecurity
(University of Missouri--Columbia, 2023) La Valle, Taylor A.; Long, Natalie A.; Health Sciences Research Day (2023 : University of Missouri); 0009-0000-6085-7186 (LaValle)
Introduction: In October 2021, Missouri began enrollment for the Adult Expansion Group of Medicaid, MO Health Net. This expansion allowed over 300,000 uninsured individuals to be enrolled. Now that individuals have access to insurance it excludes them from community-based health programs like MedZou, a clinic offering free services to uninsured individuals in Boone and surrounding counties. However, we see that in rural and underserved communities this expansion has not been met with an increase of staffing to accommodate this influx of patients. Previous studies have highlighted that access to insurance alone does not determine the access, health status or quality of care that a person receives. Our team surveyed individuals to determine the perceived access to health care and identify the most common barriers to accessing healthcare also called Social Determinants of Health, SDOH, in Boone County.
Mastery learning for chest tube placement : application to surgery and emergency medicine interns
(University of Missouri--Columbia, 2023) Haralson, Warren; Dev, Rushabh; Liepert, Amy E.; Health Sciences Research Day (2023 : University of Missouri)
Introduction: Mastery learning is an educational method that utilizes deliberate practice and supervised remediation to ensure that trainees meet proficiency in required skills. Especially in surgical and procedural training, this form of learning may be superior to traditional medical education, which typically allows for one opportunity to demonstrate proficiency. A previous study demonstrated th at skills-level-appropriate mastery learning led to higher performance and increased confidence compared to a traditional education method for chest tube placement in 4th year medical students. We sought to demonstrate skills-level-appropriate mastery learning can be replicated and achieved in general surgery and emergency medicine interns. Methods: Interns in the surgery and emergency departments at the University of Missouri participated in an elective course for level-appropriate chest tube placement skills. Learners completed a mannequin-based pretest, a didactic session, supervised deliberate practice, and a mannequin-based posttest. Remediation was provided if the mastery standard was not achieved on the posttest. Evaluation was scored using a chest tube procedure checklist validated by faculty trauma surgeons at the University of Missouri. Results: 17 interns participated in the pretest. 12 interns completed the entire course (70%). No learners (0/17) achieved mastery on the pretest. All (12/12) course completers achieved the mastery standard. Half (6/12) of the learners required remediation to achieve mastery on the posttest. Conclusion: The mastery learning method is feasible in achieving skills-level-appropriate mastery of chest tube placement in interns. Future work will include better learner capture.
Determining the impact of surgical scissor type on patient experience during Mohs micrographic surgery : a randomized control trial
(University of Missouri--Columbia, 2023) Giefer, Josie; Alrahawan, Ghaith; Wuennenberg, John; Golda, Nicholas; Health Sciences Research Day (2023 : University of Missouri)
INTRODUCTION: Environmental factors during dermatologic surgery can exacerbate anxiety and affect patient experience. Previous studies have evaluated the impact of smells [1] and sounds [3] on patient experience during Mohs micrographic surgery (MMS), but no study has evaluated how the metallic clipping sound generated by surgical scissors impacts patient experience. METHODS: We conducted a prospective, single-blinded, randomized controlled trial including 148 adult patients presenting for MMS to evaluate how the clipping sound generated by surgical scissors impacts patient experience. Patients were randomized into one of three groups: 1. A control group with traditional curved Iris scissors, 2. An intervention group with modified curved Iris scissors, 3. A comparative arm where patients experienced both the traditional and modified scissors and were asked in a blinded fashion during surgery which scissor they preferred. RESULTS: The metallic clipping noise was noticed less by the modified group (p = 0.3747). The metallic clipping noise was less bothersome to patients in the modified group (p = 0.2258). In Group 3, of the 38 patients that selected a preference 60% chose the modified and 40% chose the traditional (p=0.2559). CONCLUSION While there was no significant difference between the two groups in terms of noticing the clipping noise and being bothered by the clipping noise, there may be some clinical significance to draw from this study. Patient preference tended toward the modified scissors and these quiet instruments may improve patient experience, especially for those who are extra sensitive to sensory stimuli or for those who have never undergone dermatologic surgery before.
Accurate classification of benign and malignant dermoscopy skin lesions using three deep learning models
(University of Missouri--Columbia, 2023) Adebiyi, Abdulmateen; Flowers, Lauren; Giefer, Josie; Hirner, Jesse; Rao, Praveen; Smith, Emily H.; Simoes, Eduardo J.; Becevic, Mirna; Health Sciences Research Day (2023 : University of Missouri)
INTRODUCTION: Dermoscopy is a non-invasive technique used to evaluate suspicious skin lesions with a high magnification lens that allows users to assess structures in the reticular dermis. Our goal is to utilize dermoscopic images to train an artificial intelligence (AI) algorithm to recognize patterns and diagnose skin lesions as benign or malignant. Herein, we discuss our data collection strategy and results that were used to train the algorithm. METHODS: Chart review of patients at the University of Missouri occurred from 2021-2023. A total of 695 distinct dermoscopic images were collected, each tied to a diagnosis confirmed via biopsy. Information on age, gender, race, and the county was also recorded. RESULTS: Data set consisting of 357 patients demonstrated that the average age was 67. Patients consisted of 52.9% males and 47.1% females. When evaluating patients by race, 98% were White, 1% were Black/African American, and 1% identified as "Other race". Of the 14 counties represented, most patients resided in Boone (46%), Camden (4%), and Jefferson(4%). Of the 33 diagnoses evaluated, the top three were basal cell carcinoma (12%), malignant melanoma (10%), and dysplastic nevus (9%). When all the images were compared to biopsy results, 61% of diagnoses were benign and 39% were malignant. CONCLUSION: Recognition of subtle dermoscopic patterns takes years of training, which limits its use outside of dermatology. By using this data to train an AI algorithm, we hope to increase ease of access to this technology to help rural physicians and primary care providers triage skin lesions and spare patients from unnecessary biopsies.

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