Faculty Bibliography

BACKGROUND:Online accessible patient education materials (PEMs) are essential for patient empowerment. However, studies have shown that these materials often exceed the recommended sixth-grade reading level, making them difficult for many patients to understand. Large language models (LLMs) have the potential to simplify PEMs into more readable educational content. OBJECTIVE:We sought to evaluate whether 3 LLMs (ChatGPT [OpenAI], Gemini [Google], and Claude [Anthropic PBC]) can optimize the readability of PEMs to the recommended reading level without compromising accuracy. METHODS:This cross-sectional study used 60 randomly selected PEMs available online from 3 websites. We prompted LLMs to simplify the reading level of online PEMs. The primary outcome was the readability of the original online PEMs compared with the LLM-simplified versions. Readability scores were calculated using 4 validated indices Flesch Reading Ease, Flesch-Kincaid Grade Level, Gunning Fog Index, and Simple Measure of Gobbledygook Index. Accuracy and understandability were also assessed as balancing measures, with understandability measured using the Patient Education Materials Assessment Tool-Understandability (PEMAT-U). RESULTS:The original readability scores for the American Heart Association (AHA), American Cancer Society (ACS), and American Stroke Association (ASA) websites were above the recommended sixth-grade level, with mean grade level scores of 10.7,10.0, and 9.6, respectively. After optimization by the LLMs, readability scores significantly improved across all 3 websites when compared with the original text. Compared with the original website, Wilcoxon signed rank test showed ChatGPT improved the readability to 7.6 from 10.1 (P<.001); Gemini, to 6.6 (P<.001); and Claude, to 5.6 (P<.001). Word counts were significantly reduced by all LLMs, with a decrease from a mean range of 410.9-953.9 words to a mean range of 201.9-248.1 words. None of the ChatGPT LLM-simplified PEMs were inaccurate, while 3.3% of Gemini and Claude LLM-simplified PEMs were inaccurate. Baseline understandability scores, as measured by PEMAT-U, were preserved across all LLM-simplified versions. CONCLUSIONS:This cross-sectional study demonstrates that LLMs have the potential to significantly enhance the readability of online PEMs while maintaining accuracy and understandability, making them more accessible to a broader audience. However, variability in model performance and demonstrated inaccuracies underscore the need for human review of LLM output. Further study is needed to explore advanced LLM techniques and models trained for medical content.

DESIGN/METHODS:Retrospective database analysis. OBJECTIVE:This study aims to assess the RVU compensation model for the most common spine surgeries. BACKGROUND:Physician work is commonly valued by utilizing the relative value unit (RVU) model for compensation. Our aim in this study was to assess RVU and RVU per minute valuations of the most common spine procedures comparing cervical versus lumbar and fusion versus non-fusion cases. METHODS:The ACS-NSQIP database was utilized to identify the most commonly performed spine procedures. RVU and RVU per minute values were calculated and compared in each group. RESULTS:In all, 18,779 entries encompassing 28 CPT codes/code combinations were identified. Average RVUs were higher in cervical spine cases compared with lumbar cases (29 vs. 20 RVUs, respectively). Furthermore, cervical cases had significantly higher RVUs per minute compensation compared with lumbar cases (0.26 vs. 0.18 RVUs/min; P=0.01). Fusion cases also fared higher average RVUs compared with nonfusion cases (28 vs. 19 RVUs, respectively). However, when corrected for operative time, fusion cases did not differ significantly in RVUs per minute (P=0.13). CONCLUSIONS:Cervical spine surgery provides the best value for the surgeon in terms of RVUs per minute. We highlight key aspects of the compensation model in spine surgery. LEVEL OF EVIDENCE/METHODS:Level III-economic study.

OBJECTIVE:The Diabetes in Children, Adolescents, and Young Adults (DiCAYA) network seeks to create a nationwide electronic health record (EHR)-based diabetes surveillance system. This study aimed to develop a DiCAYA-wide EHR-based computable phenotype (CP) to identify prevalent cases of diabetes. RESEARCH DESIGN AND METHODS/METHODS:We conducted network-wide chart reviews of 2,134 youth (aged <18 years) and 2,466 young adults (aged 18 to <45 years) among people with possible diabetes. Within this population, we compared the performance of three alternative CPs, using diabetes diagnoses determined by chart review as the gold standard. CPs were evaluated based on their accuracy in identifying diabetes and its subtype. RESULTS:The final DiCAYA CP requires at least one diabetes diagnosis code from clinical encounters. Subsequently, diabetes type classification was based on the ratio of type 1 diabetes (T1D) or type 2 diabetes (T2D) diagnosis codes in the EHR. For both youth and young adults, the sensitivity, specificity, and positive and negative predictive values (PPV and NPV, respectively) in finding diabetes cases were >90%, except for the specificity and NPV in young adults, which were slightly lower at 83.8% and 80.6%, respectively. The final DiCAYA CP achieved >90% sensitivity, specificity, PPV, and NPV in classifying T1D, and demonstrated lower but robust performance in identifying T2D, consistently maintaining >80% across metrics. CONCLUSIONS:The DiCAYA CP effectively identifies overall diabetes and T1D in youth and young adults, though T2D misclassification in youth highlights areas for refinement. The simplicity of the DiCAYA CP enables broad deployment across diverse EHR systems for diabetes surveillance.

Undergraduate medical educators seek to optimize student learning, improve grading transparency and fairness, and provide useful information to residency programs. Recently, the United States Medical Licensing Examination's shift to pass/fail scoring for Step 1 disrupted curricular and assessment operations, and schools' tiered grading practices have been scrutinized. In noting that significant institutional time and energy were being expended in addressing the current levels of student grade appeals, 6 public and private medical schools in the Northeastern United States engaged in an examination of grade appeals via a root cause analysis (RCA). From November 2021 to April 2022, the authors reviewed specific instances of grading challenges that the team of educators encountered previously. From May to June 2022, the authors met for a facilitated discussion of the question, "Why are students challenging grading processes and systems or outcomes?" From July to October 2022, the authors identified root causes by analyzing results from the fishbone diagram (process, equipment, materials, people, and environment) and using the "five whys" technique. Several potential explanations for grade appeals and challenging grading systems across institutions were identified, including variability in the quality or experience of evaluators, lack of clarity about the goals and expectations of clerkships and a lack of transparency about the grading process, having a tiered grading system, technical issues with equipment, and clinical productivity demands of faculty. In proposing solutions to root causes identified in the RCA, factors were mapped to Liaison Committee on Medical Education (LCME) standards to facilitate quality and process improvements in grading. Aiming to support the learning environment and a fair and equivalent assessment process, the authors present a novel RCA and LCME method that can contribute to improving grading systems and has the potential to enhance learning and success.

[This corrects the article DOI: 10.1016/j.jscai.2024.102399.].

BACKGROUND/UNASSIGNED:The impact of preventing hypertension and maintaining normal blood pressure (BP) on life expectancy and healthy life expectancy (HLE) among Black adults, who are disproportionately affected by hypertension, has not been quantified. METHODS/UNASSIGNED:We used a discrete event simulation to estimate life expectancy and HLE among a cohort of Black adults from the Jackson Heart Study (n=4933) from age 20 to 100 years or until death. We modeled preventing hypertension as having BP <130/80 mm Hg and maintaining normal BP as having BP <120/80 mm Hg across the lifespan. In the primary analysis, we assumed that lowering BP decreased the risk of cardiovascular disease events, resulting in life expectancy and HLE gains. In a secondary analysis, we assumed that preventing hypertension and maintaining normal BP directly reduced both cardiovascular disease and mortality risk. RESULTS/UNASSIGNED:At age 20 years, the projected average life expectancy was age 80.8 (95% uncertainty interval [UI], 80.6-81.1) years, and HLE was 70.5 (95% UI, 70.3-70.7) healthy life years. In the primary analysis, preventing hypertension and maintaining normal BP added 0.9 (95% UI, 0.8-1.1) and 1.1 (95% UI, 0.9-1.3) years to life expectancy, respectively, and 2.7 (95% UI, 2.6-2.9) and 2.9 (95% UI, 2.7-3.1) healthy life years to HLE, respectively. In the secondary analysis, preventing hypertension and maintaining normal BP added 4.5 (95% UI, 4.3-4.6) and 4.6 (95% UI, 4.4-4.8) years to life expectancy, respectively, and 5.7 (95% UI, 5.6-5.8) and 5.9 (95% UI, 5.7-6.0) healthy life years to HLE, respectively. CONCLUSIONS/UNASSIGNED:Preventing hypertension and maintaining normal BP were projected to increase life expectancy and HLE among Black adults.

BACKGROUND/UNASSIGNED:Phosphodiesterase type 5 (PDE5) inhibitors are used to treat erectile dysfunction, but their cost can limit access. AIM/UNASSIGNED:This study examines PDE5 inhibitors pricing and demographic data across rural and urban New York State (NYS) counties, as well as small, large, and online pharmacies. METHODS/UNASSIGNED:-tests, Wilcoxon rank-sum, and Kruskal-Wallis tests were performed using R Version 4.4.1 (2024-06-14). OUTCOMES/UNASSIGNED:The cash price of the PDE5 inhibitors across various pharmacy chain types and county types. RESULTS/UNASSIGNED: = .177). CLINICAL TRANSLATION/UNASSIGNED:This study aims to highlight the pricing variability of PDE5 inhibitors to help patients identify cost-effective options to circumvent potential financial barriers. STRENGTHS AND LIMITATIONS/UNASSIGNED:This study was the first to examine PDE5 inhibitors pricing specifically within rural populations while also providing a comparative analysis of pricing differences between small and large pharmacy chains serving these communities. The study's limitations include a relatively small sample size of rural and small chain pharmacies resulting in power levels of 75% and 69%, respectively, which may impact the generalizability of the findings. CONCLUSION/UNASSIGNED:Enhancing drug price transparency for PDE5 inhibitors is vital for increasing access and pricing flexibility.

Cholangiocarcinoma (CCA) is a malignancy that originates from the epithelial cells of the biliary system. Despite advancements in medical diagnostic techniques, CCAs remain a challenge to detect due to their silent clinical progression, making it difficult to diagnose these diseases. There are several well-established risk factors for CCA, including biliary tract infection and inflammation. However, there is also growing evidence that community and occupational exposures play a significant role in the development of bile duct cancers. This review examines the geographical distribution of these risk factors and the importance of surveillance in individuals exposed to these toxins who are more prone to developing CCA.

Child neglect is a toxic stress with harmful outcomes. It is the most prevalent form of child maltreatment with continued trends for underreporting due to a lack of a widely accepted definition. Given this reality, pediatric clinicians may rely on subjective thresholds for its diagnosis. There are risk factors for neglect countered by protective factors that builds resilience in families. Pediatric clinicians are positioned to prevent neglect through their relationships with families across the life span. Currently, there are evidence-based screening tools available to ensure the skillful differentiation between the signs and symptoms attributable to neglect versus poverty.