Identifying emerging topics in the peer‑reviewed literature to facilitate curriculum renewal and development
Amos, Andrew James, Lee, Kyungmi, Sen Gupta, Tarun, and Malau-Aduli, Bunmi S. (2023) Identifying emerging topics in the peer‑reviewed literature to facilitate curriculum renewal and development. Current Psychology. (In Press)
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Abstract
This article reports a bibliometric analysis of emerging topics in the psychiatric literature indexed in the MEDLINE database as a technique for renewal of clinical training curricula. Summary data of English-language articles indexed in the MEDLINE database between 1971-2018 were downloaded. Emerging topics in nine demi-decades between 1972-1976 and 2012-2016 were identified by the incremental incidence of individual Medical Subject Headings (MeSH) compared with previous years. Co-word analysis was used to investigate and visualise the relationships between emerging topics in each demi-decade. Summaries of 18 million articles annotated with psychiatric/psychological MeSH were retrieved and used to identify emerging topics. Peaks in the number of articles annotated by the top 20 emerging topics in 9 demi-decades coincided with release of the third and fourth editions of the Diagnostic and Statistical Manual which codifies psychiatric diagnoses. Themes emerging from network visualisations of the most common emerging MeSH in each demi-decade were consistent with movements in psychiatric/psychological theory and practice since the 1970s, including the recent focus on psychological and social factors implicated in suicide and suicide prevention. The identification of emerging topics within the published medical literature is a viable technique for use in curriculum renewal projects as a counterweight to biases driven by expert judgement. While indices like MEDLINE make the published literature an appealing initial step in building an empirical basis for curriculum development, it also demonstrates the potential value of less public and less structured data, such as health service electronic medical records
| Item ID: | 77045 |
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| Item Type: | Article (Research - C1) |
| ISSN: | 1936-4733 |
| Copyright Information: | © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| Date Deposited: | 13 Dec 2022 05:03 |
| FoR Codes: | 42 HEALTH SCIENCES > 4203 Health services and systems > 420312 Implementation science and evaluation @ 100% |
| SEO Codes: | 20 HEALTH > 2002 Evaluation of health and support services > 200206 Health system performance (incl. effectiveness of programs) @ 100% |
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