Google Trends as a resource for bariatric education: what do patients want to know?

Bariatric Evaluation Through AI: a Survey of Expert Opinions Versus ChatGPT-4 (BETA-SEOV)

BACKGROUND

Recent advancements in artificial intelligence, such as OpenAI's ChatGPT-4, are revolutionizing various sectors, including healthcare. This study investigates the use of ChatGPT-4 in identifying suitable candidates for bariatric surgery and providing surgical recommendations to improve decision-making in obesity treatment amid the global obesity epidemic.

METHODS

We devised ten patient scenarios, thoughtfully encompassing a spectrum that spans from uncomplicated cases to more complex ones. Our objective was to delve into the decision-making process regarding the recommendation of bariatric surgery. From July 29th to August 10th, 2023, we conducted a voluntary online survey involving thirty prominent bariatric surgeons, ensuring that there was no predetermined bias in the selection of a specific type of bariatric surgery. This survey was designed to collect their insights on these scenarios and gain a deeper understanding of their professional experience and background in the field of bariatric surgery. Additionally, we consulted ChatGPT-4 in two separate conversations to evaluate its alignment with expert opinions on bariatric surgery options.

RESULTS

In 40% of the scenarios, disparities were identified between the two conversations with ChatGPT-4. It matched expert opinions in 30% of cases. Differences were noted in cases like gastrointestinal metaplasia and gastric adenocarcinoma, but there was alignment with conditions like endometriosis and GERD.

CONCLUSION

The evaluation of ChatGPT-4's role in determining bariatric surgery suitability uncovered both potential and shortcomings. Its alignment with experts was inconsistent, and it often overlooked key factors, emphasizing human expertise's value. Its current use requires caution, and further refinement is needed for clinical application.

Population Interest in Information on Obesity, Nutrition, and Occupational Health and Its Relationship with the Prevalence of Obesity: An Infodemiological Study

OBJECTIVE

To identify and analyze population interest in obesity, nutrition, and occupational health and safety and its relationship with the worldwide prevalence of obesity through information search trends.

METHOD

In this ecological study, data were obtained through online access to Google Trends using the topics "obesity", "nutrition", and "occupational health and safety". Obesity data were obtained from the World Health Organization (WHO) website for crude adult prevalence and estimates by region. The variables studied were relative search volume (RSV), temporal evolution, milestone, trend, and seasonality. The temporal evolution of the search trends was examined by regression analysis (R2). To assess the relationship between quantitative variables, the Spearman correlation coefficient (Rho) was used. Seasonality was verified using the augmented Dickey-Fuller (ADF) test.

RESULTS

The RSV trends were as follows: obesity (R2 = 0.04, p = 0.004); nutrition (R2 = 0.42, p < 0.001); and occupational health and safety (R2 = 0.45, p < 0.001). The analysis of seasonality showed the absence of a temporal pattern (p < 0.05 for all terms). The associations between world obesity prevalence (WOP) and the different RSVs were as follows: WOP versus RSV obesity, Rho = -0.79, p = 0.003; WOP versus RSV nutrition, Rho = 0.57, p = 0.044; and WOP versus RSV occupational health and safety, Rho = -0.93, p = 0.001.

CONCLUSIONS

Population interest in obesity continues to be a trend in countries with the highest prevalence, although there are clear signs popularity loss in favor of searches focused on possible solutions and treatments, with a notable increase in searches related to nutrition and diet. Despite the fact that most people spend a large part of their time in the workplace and that interventions including various strategies have been shown to be useful in combating overweight and obesity, there has been a decrease in the population's interest in information related to obesity in the workplace. This information can be used as a guide for public health approaches to obesity and its relationship to nutrition and a healthy diet, approaches that are of equal utility and applicability in occupational health.

GoogleTrends as a patient therapeutic education resource on extracorporeal life support: What do patients want to know?

INTRODUCTION

Extracorporeal membrane oxygenation (ECMO) is implemented as rescue therapy in COVID-19 related acute distress respiratory syndrome (ARDS) and refractory hypoxemia. Google Trends (GT) is an ongoing-developing web kit providing feedback on specific population's interests. This study uses GT to analyze the United States (US) general population interest in ECMO as COVD-19/ARDS salvage therapy.

METHODS

GT was used to access data searched for the term ECMO and COVID-19. The gathered information included data from March 2020 to July 2021 within US territories. Search frequency, time intervals, sub-regions, frequent topics of interest, and related searches were analyzed. Data were reported as search frequency on means, and a value of 100 represented overall peak popularity.

RESULTS

The number of Google searches related to the terms ECMO and COVID-19 has surged and sustained interest over time ever since the initial reports of COVID-19 in the US, from an initial mean of 34% in March 2020 to a 100% interest by April 2020, resulting in an up-to-date overall average of 40% interest. Over time West Virginia, Gainesville, and Houston, lead the frequency of searches in sub-region, metro and city areas, respectively. Top search terms by frequency include: ECMO machine, COVID ECMO, what is ECMO, ECMO treatment and VV ECMO. Parallel to this, the related rising terms are: COVID ECMO, ECMO machine COVID, ECMO for COVID, ECMO machine coronavirus, and ECMO vs ventilator. Seemingly, medical-relevant websites fail to adequately address these for patient therapeutic education (PTE) purposes.

CONCLUSIONS

GT complements the understanding of interest in ECMO for COVID-19. When properly interpreted, the use of these trends can potentially improve on PTE and therapy awareness via specific medical relevant websites.