Social determinants of Health and Google Trends: a worldwide infodemiological report

E. Di Simone, N. Panattoni, S. Dionisi, N. Giannetta, E. Renzi, A. Massimi, M. Di Muzio, F. Fabbian

Department of Clinical and Molecular Medicine, “Sapienza” University of Rome, Rome, Italy. f.fabbian@ospfe.it

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• Epidemiology

OBJECTIVE: Several sociodemographic variables are essential to the complete comprehension of people’s health conditions. Also, social determinants of health are decisive in influencing people’s health and healthcare strategy outcomes. Nevertheless, the level of awareness of the general population about the social determinants of health still seems poorly investigated. In this scenario, using an infodemiological approach, Google Trends represents a handy tool for monitoring internet-related search activities concerning this specific topic. This study aimed to assess the general population’s consciousness about social determinants of health, testing widespread knowledge of these items and evaluating the association of the results obtained through Google-specific search volumes.

MATERIALS AND METHODS: Data were collected using the Google Trends tool using several search terms related to food, social problems, and economic issues, which are useful for defining some social determinants of health variables. Descriptive data analysis was performed to show the worldwide Relative Search Volume variations from 1 September 2013 to 31 August 2023. Pearson’s correlation analysis tested Relative Search Volumes and later logarithmic transformation. The K-Nearest Neighbors analysis was used to define and assess Relative Search Volumes (RSV) associations.

RESULTS: The results have shown that the general population was mainly interested in topics such as “social support” and “economic burden”, showing frequent peaks during the 10 years of the study. According to Pearson’s coefficients test, other specific interests and relative correlations emerged regarding social variables (i.e., social support and social problems), food, and financial distress. Moreover, the K-Nearest Neighbors analysis showed that searching activities for “social support”, “lack of food”, and “social problems” were highly related; for “economic burden”, “financial burden”, and “out of pocket” suggested the existence of financial distress.

CONCLUSIONS: The results of this study underline that social determinants of health are significant barriers to health and well-being and that non-medical factors should be considered more. Healthcare professionals involved in public health should study and understand more about the social determinants of health in relation to health outcomes to provide patient-centered care. Finally, this research suggests that we should encourage and maintain a more comprehensive approach to addressing the health needs of patients and communities, also by an infodemiological assessment.

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