토픽모델링을 활용한 헬스리터러시 관련 국제 연구동향 분석

초록

Objectives: This study aimed to identify global trends and themes in health literacy research through topic modeling of the comprehensive literature, thereby suggesting future directions for health literacy research. Methods: Research papers on health literacy published from 2012 to 2021 were analyzed using a text mining technique called Bidirectional Encoder Representations from Transformers was applied for topic modeling. Results: Of the 12,842 retrieved papers on health literacy, the highest proportion was based on the themes of ‘mental health’ (1,161 papers, 9.04%) and ‘cancer prevention and screening’ (1,146 papers, 8.92%). These were followed by the themes of ‘digital healthcare’ (952 papers, 7.41%), ‘health information education’ (826 papers, 6.43%), and ‘older people’ (801 papers, 6.24%). The number of research papers on health literacy has increased constantly across all topics. Particularly, the topics of ‘infection prevention’ and ‘digital healthcare’ have grown rapidly since 2019. Conclusion: This study showed that health literacy research has expanded from healthcare at the individual level to disease prevention and health promotion at the population level throughout the life course. Future studies should develop a health literacy scale for national monitoring indices as well as optimal communication strategies for disease prevention and health promotion within low health literacy groups.

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