토픽모델링을 활용한 헬스리터러시 관련 국제 연구동향 분석
Determining global trends in health literacy research using topic modeling
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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.
Abstract
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.
참고문헌 (29)
- Claus Boye Asmussen, "Smart literature review: a practical topic modelling approach to exploratory literature review", Journal of Big Data, 6(1) (2019), Springer Science and Business Media LLC[DOI]
- 백정원, "건강정보이해능력・정신건강정보이해능력 국내연구경향분석 : 2007년-2017년", 보건의료산업학회지, 12(3), pp.95~106 (2018), 보건의료산업학회[DOI]
- 최은진, "헬스리터러시와 디지털헬스리터러시에 대한 건강행동의 특성 분석", 보건교육건강증진학회지, 39(5), pp.81~99 (2022), 한국보건교육건강증진학회
- 최슬기, "우리나라 성인의 헬스리터러시 현황과 시사점", 보건복지 Issue & Focus, 413, pp.1~10 (2021), 한국보건사회연구원[DOI]
- 최슬기, "디지털 헬스리터러시 증진을 위한 국외 동향과 시사점", 보건교육건강증진학회지, 39(4), pp.15~28 (2022), 한국보건교육건강증진학회
- 천희란, "우리나라 헬스 리터러시 측정 도구의 연구 동향 분석: 주제범위 문헌고찰(Scoping review)", 보건교육건강증진학회지, 39(4), pp.39~53 (2022), 한국보건교육건강증진학회
- Cordero Dalmacito A., "Allocating Medical Resources Efficiently: Importance of Health Literacy during the COVID-19 Pandemic", Infection and Chemotherapy, 54(2), pp.364~365 (2022), 대한감염학회[DOI]
- Darren A. DeWalt, "Literacy and health outcomes: A systematic review of the literature", Journal of General Internal Medicine, 19(12), pp.1228~1239 (2004), Springer Science and Business Media LLC[DOI]
- Roman Egger, "A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts", Frontiers in Sociology, 7 (2022), Frontiers Media SA[DOI]
- "Death trend by cause of death" (2023)[URL]
- "BERTopic : Neural topic modeling with a class-based tf-idf procedure" (2022)[URL]
- Sophie Hyvert, "Association between health literacy and medication adherence in chronic diseases: a recent systematic review", International Journal of Clinical Pharmacy, 45(1), pp.38~51 (2022), Springer Science and Business Media LLC[DOI]
- 강수진, "근거 중심의 헬스 리터러시 증진 방안: 학술지 연구 동향을 중심으로", 보건교육건강증진학회지, 32(4), pp.93~108 (2015), 한국보건교육건강증진학회[DOI]
- 김은진, "건강문해력과 심리사회적 요인 및 암 관련 건강행동 간의 관련성: 체계적 문헌고찰", 성인간호학회지, 30(6), pp.565~576 (2018), 한국성인간호학회[DOI]
- 김은진, "저소득 의료취약계층의 건강문해력과 암 예방행위에 대한 구조모형 분석", 기본간호학회지, 28(1), pp.83~95 (2021), 기본간호학회[DOI]
- 고정현, "디지털 정보격차 관련 국내 연구 동향 분석", 한국도서관·정보학회지, 52(4), pp.179~203 (2021), 한국도서관·정보학회[DOI]
- A study for improving health literacy, "Korea Institute for Health and Social Affairs", Korea Institute for Health and Social Affairs, ~ (2020)
- McInnes, L., "UMAP : Uniform manifold approximation and projection for dimension reduction", arXiv preprint, ~ (2020)
- D. Nutbeam, "Health Promotion Glossary", Health Promotion International, 13(4), pp.349~364 (1998), Oxford University Press (OUP)[DOI]
- 박동진, "우리나라 헬스리터러시 국가정책 방향", 보건교육건강증진학회지, 39(4), pp.1~14 (2022), 한국보건교육건강증진학회
- 박자현, "토픽모델링을 활용한 국내 문헌정보학 연구동향 분석", 정보관리학회지, 30(1), pp.7~32 (2013), 한국정보관리학회[DOI]
- 박나영, "인터넷 건강정보활용능력(eHealth literacy)에 따른 디지털 헬스케어 이용경험: 서울시민을 대상으로", 보건교육건강증진학회지, 39(4), pp.67~76 (2022), 한국보건교육건강증진학회
- Shaojie Qi, "Trends of global health literacy research (1995–2020): Analysis of mapping knowledge domains based on citation data mining", PLOS ONE, 16(8), pp.e0254988~ (2021), Public Library of Science (PLoS)[DOI]
- Xue Ran, "The Effect of Health Literacy Intervention on Patients with Diabetes: A Systematic Review and Meta-Analysis", International Journal of Environmental Research and Public Health, 19(20), pp.13078~ (2022), MDPI AG[DOI]
- Reimers, N., "Sentence-BERT : Sentence embeddings using siamese BERT-networks", arXiv preprint, ~ (2019)
- Rawan Sawalha, "Culturally and linguistically diverse patients’ perspectives and experiences on medicines management in Australia: a systematic review", International Journal of Clinical Pharmacy, 45(4), pp.814~829 (2023), Springer Science and Business Media LLC[DOI]
- National action plan health literacy : Promoting health literacy in Germany, "Schaeffer, D.", KomPart, ~ (2018)
- Kristine Sørensen, "Health literacy and public health: A systematic review and integration of definitions and models", BMC Public Health, 12(1) (2012), Springer Science and Business Media LLC[DOI]
- World Health Organization, "Health promotion glossary of terms 2021", World Health Organization, ~ (2021)