Medication literacy (ML) has emerged as a critical global public health concern, garnering growing scholarly attention over the past two decades. To delineate major research domains, identify evolving trends, and inform future research priorities, a scientometric analysis of the scientific literature on ML was conducted. A systematic search retrieved publications on ML from the Web of Science Core Collection, covering the period from 2003 to 2024. Scientometric analyses were executed using CiteSpace and VOSviewer to visualize and evaluate collaborative networks, including co-citation references, co-occurring keywords, and contributions by countries, institutions, authors, and journals.
The analysis incorporated 1,968 eligible publications, revealing a rapidly growing trend in research interest in ML with an average annual growth rate of 46.1% in publications between 2003 and 2022. Three major research trends were identified: the relationship between ML and medication adherence, the development of ML-specific assessment tools, and the investigation of psychosocial factors associated with ML. The United States of America, Northwestern University, Davis Tc, and Patient Education and Counseling were identified as the most cited and influential entities within this field, representing the leading country, institution, author, and journal, respectively.
Scientometric analysis provides invaluable insights to clinicians and researchers involved in ML research by identifying leading contributors, intellectual bases, and research trends. ML is evolving from unidimensional analysis to multidisciplinary exploration of dynamic mechanisms. Future research on ML is facing significant challenges, including the exploration of adherence mechanisms, validation of digital assessment tools, and the moderating effect model of socio-psychological factors on ML.
Experts emphasize the importance of understanding the evolving landscape of medication literacy research to address public health challenges effectively. The surge in scholarly attention to ML underscores its significance in improving healthcare outcomes and patient well-being. By leveraging scientometric and bibliometric analyses, researchers can map out key areas of focus, collaborations, and emerging trends to guide future investigations and interventions.
Historically, the field of medication literacy has witnessed a transformation, shifting from basic assessments to a nuanced exploration of the intricate interplay between patient understanding, medication adherence, and health outcomes. This evolution reflects a broader recognition of the multifaceted nature of health literacy and its impact on healthcare delivery.
With the advent of advanced research tools like CiteSpace and VOSviewer, researchers can delve deeper into the complexities of medication literacy, uncovering hidden patterns, and forging new pathways for intervention. These tools not only facilitate data visualization but also enable researchers to identify key stakeholders, influential publications, and emerging themes in the field.
As the landscape of healthcare continues to evolve, understanding medication literacy trends becomes crucial for policymakers, healthcare providers, and researchers alike. By staying abreast of the latest developments in ML research, stakeholders can tailor interventions, educational programs, and policy initiatives to enhance patient understanding and promote better health outcomes.
In conclusion, the analysis of knowledge domains and emerging trends in medication literacy research provides a roadmap for future investigations and interventions in public health. By harnessing the power of scientometric and bibliometric analyses, researchers can navigate the complex terrain of medication literacy, paving the way for innovative solutions and improved patient care.
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