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Journal : West Science Interdisciplinary Studies

Maternal and Child Health Interventions: A Bibliometric Assessment of Global Research Landscape Yocki Yuanti; Erny Elviany Sabaruddin; Dewi Rostianingsih
West Science Interdisciplinary Studies Vol. 1 No. 08 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v1i08.185

Abstract

Maternal and child health interventions play a pivotal role in improving health outcomes and promoting well-being among mothers and children worldwide. This study employs a multidimensional approach, combining bibliometric analysis, clustering, and citation analysis, to assess the global research landscape of maternal and child health interventions. The research methodology involves systematic data collection, preprocessing, and the utilization of VOSviewer for visualization and analysis. The results reveal thematic clusters, high-impact studies, and prevailing research trends within the field. The identified clusters encompass diverse themes such as child development, adolescent health, and policy implications. High-impact studies emphasize evidence-based approaches, addressing maternal undernutrition, child health interventions, and maternal and newborn health. Additionally, the frequency of keywords reflects research priorities in coverage, child health interventions, and intervention effectiveness. Conversely, areas with fewer occurrences, such as infant health and child undernutrition, suggest potential research gaps. This comprehensive assessment of the maternal and child health interventions landscape informs evidence-based decision-making, identifies research priorities, and guides the development of holistic interventions. The study contributes to advancing maternal and child health outcomes globally by providing insights into the current state, gaps, and directions for future research.
Population Health Management: A Bibliometric Analysis of Literature on Data Analytics and Public Health Interventions Loso Judijanto; Yocki Yuanti; Supriandi Supriandi
West Science Interdisciplinary Studies Vol. 2 No. 04 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i04.796

Abstract

Population health management (PHM) has emerged as a pivotal strategy in healthcare, aiming to address the health needs of communities while enhancing care quality and outcomes. Recent years have witnessed a surge in research at the intersection of data analytics and public health interventions within the realm of PHM. This paper presents a comprehensive bibliometric analysis of the literature on data analytics and public health interventions in the context of population health management. Through systematic data collection from reputable scholarly databases and rigorous analysis, this study aims to map out the trends, key contributors, and emerging themes shaping the discourse in this domain. The analysis encompasses publication trends, authorship patterns, citation metrics, and network visualizations to provide insights into the landscape of literature. Notable findings include a high citation rate per paper and author, indicative of scholarly interest and collaboration within the research community. Key themes identified include outcomes, interventions, population health improvement, determinants, and health disparities. Additionally, temporal analysis reveals a shift towards non-communicable diseases and the increasing role of data in patient care. The author collaboration network highlights a core cluster of researchers with extensive collaborative ties, alongside peripheral authors and topics representing specialized or nascent areas. The density visualization map identifies potential areas for future research, including health disparities, women's health issues, and geographic-specific studies.