Mapping the knowledge structure of research on patient adherence: Knowledge domain visualization based co-word analysis and social network analysis

Zhang, Juan, Xie, Jun, Hou, Wanli, Tu, Xiaochen, Xu, Jing, Song, Fujian, Wang, Zhihong and Lu, Zuxun (2012) Mapping the knowledge structure of research on patient adherence: Knowledge domain visualization based co-word analysis and social network analysis. PLoS One, 7 (4). ISSN 1932-6203

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Abstract

Patient adherence is an important issue for health service providers and health researchers. However, the knowledge structure of diverse research on treatment adherence is unclear. This study used co-word analysis and social network analysis techniques to analyze research literature on adherence, and to show their knowledge structure and evolution over time.

Item Type:	Article
Uncontrolled Keywords:	bibliometrics,biomedical research,hiv,hiv infections,humans,knowledge,patient compliance,research design,social support,sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being
Faculty \ School:	Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Groups > Epidemiology and Public Health Faculty of Medicine and Health Sciences > Research Groups > Health Services and Primary Care Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023) Faculty of Medicine and Health Sciences > Research Centres > Population Health (former - to 2025) Faculty of Medicine and Health Sciences > Research Centres > Public Health
Depositing User:	Pure Connector
Date Deposited:	24 Jan 2014 12:58
Last Modified:	01 Aug 2025 13:56
URI:	https://ueaeprints.uea.ac.uk/id/eprint/46855
DOI:	10.1371/journal.pone.0034497

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