Objective: To analyze the research status of clinical governance (CG); the most productive authors, countries and organizations; connections among research themes. Methods: We used a ‘funnel model’, consisting of 3 layers describing various CG domains and settings. We retrieved bibliometric data from 1998 to 2021 from the Scopus database. Text mining, visual analysis, descriptive statistics and data visualization were performed. Citation bursts were detected. Results: The total number of studies was 2429. On a global scale, there is a swinging trend in publications, with four peaks detected (2000, 2009, 2013, 2021). Citation burst keywords include: “national health service”, “medical audit”, “psychological aspect”, “quality improvement” and “surveys and questionnaires”. UK is the most productive and cited country. The most active organizations were in the UK, Australia, USA, Italy and Iran. The most productive journals and authors were identified. The most frequent keywords identified were ‘health care quality’, ‘clinical governance’, ‘organization and management’ and ‘medical audit’. Research trends for each CG domain and setting type were reported. Conclusion: By using scientometric methodology, we created a thorough scientific picture on CG, including the mapping of pivotal concepts as a function of time.

Adduci, A., Perilli, A., Durante, F., De Mattia, E., Cicchetti, A., Ricciardi, W., De Belvis, A., Clinical governance: An in-depth scientometric analysis, <<INTERNATIONAL JOURNAL OF HEALTHCARE MANAGEMENT>>, 2023; (N/A): 1-15. [doi:10.1080/20479700.2023.2214963] [https://hdl.handle.net/10807/258249]

Clinical governance: An in-depth scientometric analysis

Adduci, Andrea
;
Perilli, Alessio;De Mattia, Egidio;Cicchetti, Americo;Ricciardi, Walter;De Belvis, Antonio
2023

Abstract

Objective: To analyze the research status of clinical governance (CG); the most productive authors, countries and organizations; connections among research themes. Methods: We used a ‘funnel model’, consisting of 3 layers describing various CG domains and settings. We retrieved bibliometric data from 1998 to 2021 from the Scopus database. Text mining, visual analysis, descriptive statistics and data visualization were performed. Citation bursts were detected. Results: The total number of studies was 2429. On a global scale, there is a swinging trend in publications, with four peaks detected (2000, 2009, 2013, 2021). Citation burst keywords include: “national health service”, “medical audit”, “psychological aspect”, “quality improvement” and “surveys and questionnaires”. UK is the most productive and cited country. The most active organizations were in the UK, Australia, USA, Italy and Iran. The most productive journals and authors were identified. The most frequent keywords identified were ‘health care quality’, ‘clinical governance’, ‘organization and management’ and ‘medical audit’. Research trends for each CG domain and setting type were reported. Conclusion: By using scientometric methodology, we created a thorough scientific picture on CG, including the mapping of pivotal concepts as a function of time.
2023
Inglese
Adduci, A., Perilli, A., Durante, F., De Mattia, E., Cicchetti, A., Ricciardi, W., De Belvis, A., Clinical governance: An in-depth scientometric analysis, <<INTERNATIONAL JOURNAL OF HEALTHCARE MANAGEMENT>>, 2023; (N/A): 1-15. [doi:10.1080/20479700.2023.2214963] [https://hdl.handle.net/10807/258249]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/258249
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