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INTRODUCTION: The integration of artificial intelligence (AI) in healthcare, particularly through language models like ChatGPT and ChatSonic, has gained substantial attention. This article explores the utilization of these AI models to address patient queries related to hypertension, emphasizing their potential to enhance health literacy and disease understanding. The study aims to compare the quality and reliability of responses generated by ChatGPT and ChatSonic in addressing common patient queries about hypertension and evaluate these AI models using the Global Quality Scale (GQS) and the Modified DISCERN scale. METHODS: A virtual cross-sectional observational study was conducted over one month, starting in October 2023. Ten common patient queries regarding hypertension were presented to ChatGPT (https://chat.openai.com/) and ChatSonic (https://writesonic.com/chat), and the responses were recorded. Two internal medicine physicians assessed the responses using the GQS and the Modified DISCERN scale. Statistical analysis included Cohen's Kappa values for inter-rater agreement. RESULTS: The study evaluated responses from ChatGPT and ChatSonic for 10 patient queries. Assessors observed variations in the quality and reliability assessments between the two AI models. Cohen's Kappa values indicated minimal agreement between the evaluators for both the GQS and Modified DISCERN scale. CONCLUSIONS: This study highlights the variations in the assessment of responses generated by ChatGPT and ChatSonic for hypertension-related queries. The findings highlight the need for ongoing monitoring and fact-checking of AI-generated responses.
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Background The human experience involves the inevitable end of life, whether sudden or expected. Ensuring a dignified end-of-life encounter necessitates understanding influential factors. Cardiomyopathy, a group of heart muscle diseases, has varying mortality implications, including heart failure and arrhythmias. Disparities in place of death (hospital, home, or hospice) can significantly alter the end-of-life care for a patient. Methods The aim of this study is to identify variations in death locations for U.S. cardiomyopathy patients between 1999 and 2020, based on age, gender, race, and census region, utilizing the CDC WONDER ( CDC Wide-Ranging Online Data for Epidemiologic Research) database, which contains a wide array of public health information. Data were categorized by age, gender, race, and location, and further subcategorized according to place of death. Statistical analysis was done via R programming software. Result The aggregate data of 528,401 cardiomyopathy-related deaths from 1990 to 2020 were obtained. Findings revealed age, gender, and regional disparities in death location. Notably, cardiomyopathy is found to be prevalent in the 75+ years age group, male gender, and people belonging to Caucasian descent, and maximal in the Southern census area. The study's logistic regression analysis unveiled a significant association between demographic factors and death locations. Conclusion This research underscores the significance of understanding disparities in the place of death for cardiomyopathy patients, shedding light on demographic influences and paving the way for patient-centered end-of-life care approaches.
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Background Esophageal neoplasm carries significant implications for end-of-life care. Despite medical advancements, disparities in the location of death persist. Understanding the factors influencing the place of death for esophageal neoplasm patients is crucial for delivering patient-centered care. Objectives The primary objective of this study is to inspect and evaluate mortality patterns in patients with malignant esophageal neoplasms over the past two decades. Materials and methods Using the CDC-WONDER database, the authors analyzed 309,919 esophageal neoplasm-related deaths. Data was categorized by age, gender, race, and location of death, enabling a detailed examination of the factors influencing the place of death. Result This analysis revealed significant disparities in death locations. Age, gender, race, and geographic region all played substantial roles in determining where esophageal neoplasm patients spent their final moments. Notably, males consistently experienced higher mortality rates across all settings. Geographic disparities indicated varying mortality rates by census region, with the Southern region reporting the highest rates. Racial disparities were also evident, with white individuals having the highest number of deaths. Conclusion This study underscores the importance of recognizing and addressing disparities in the place of death among esophageal neoplasm patients in the United States. By shedding light on the demographic influences on end-of-life decisions, it paves the way for more targeted and patient-centered approaches to end-of-life care for this patient population.