Evaluation of Medical Subject Headings assignment in simulated patient articles.
Objectives: To evaluate human-based Medical Subject Headings (MeSH) allocation in articles about 'patient simulation'—a technique that mimics real-life patient scenarios with controlled patient responses. Methods: A validation set of articles indexed before the Medical Text Indexer-Auto implementati...
| Published in: | International Journal of Pharmacy Practice Vol. 32; no. 5; pp. 396 - 405 |
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| Main Authors: | , , , |
| Format: | equations & formulas research tables/charts Journal Article |
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Oxford University Press / USA
Oct2024
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=180171504&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180171504 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09617671 1311 jtl: International Journal of Pharmacy Practice issn: 09617671 maglogo: N pubinfo: dt: Oct2024 vid: 32 iid: 5 pid: 622 pub: Oxford University Press / USA artinfo: ui: 180171504 180171504 180171504 10.1093/ijpp/riae042 180171504 ppf: 396 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Evaluation of Medical Subject Headings assignment in simulated patient articles. aug: au: Tonin, Fernanda S Negrão, Luciana G Meza, Isabela P Fernandez-Llimos, Fernando affil: Postgraduate Programme in Pharmaceutical Sciences, Federal University of Parana, 80210-170 Curitiba, Brazil sug: subj: National Library of Medicine (U.S.) Subject Headings Computer Simulation Patient Simulation Abstracting and Indexing Human Retrospective Design Record Review Vocabulary, Controlled PubMed Cost Effectiveness Analysis Random Sample Descriptive Statistics Data Analysis Software kappa Statistic Virtual Reality Virtual Reality Exposure Therapy Sensitivity and Specificity Automation Literature Searching ab: Objectives: To evaluate human-based Medical Subject Headings (MeSH) allocation in articles about 'patient simulation'—a technique that mimics real-life patient scenarios with controlled patient responses. Methods: A validation set of articles indexed before the Medical Text Indexer-Auto implementation (in 2019) was created with 150 combinations potentially referring to 'patient simulation'. Articles were classified into four categories of simulation studies. Allocation of seven MeSH terms (Simulation Training, Patient Simulation, High Fidelity Simulation Training, Computer Simulation, Patient-Specific Modelling, Virtual Reality, and Virtual Reality Exposure Therapy) was investigated. Accuracy metrics (sensitivity, precision, or positive predictive value) were calculated for each category of studies. Key findings: A set of 7213 articles was obtained from 53 different word combinations, with 2634 excluded as irrelevant. 'Simulated patient' and 'standardized/standardized patient' were the most used terms. The 4579 included articles, published in 1044 different journals, were classified into: 'Machine/Automation' (8.6%), 'Education' (75.9%) and 'Practice audit' (11.4%); 4.1% were 'Unclear'. Articles were indexed with a median of 10 MeSH (IQR 8–13); however, 45.5% were not indexed with any of the seven MeSH terms. Patient Simulation was the most prevalent MeSH (24.0%). Automation articles were more associated with Computer Simulation MeSH (sensitivity = 54.5%; precision = 25.1%), while Education articles were associated with Patient Simulation MeSH (sensitivity = 40.2%; precision = 80.9%). Practice audit articles were also polarized to Patient Simulation MeSH (sensitivity = 34.6%; precision = 10.5%). Conclusions: Inconsistent use of free-text words related to patient simulation was observed, as well as inaccuracies in human-based MeSH assignments. These limitations can compromise relevant literature retrieval to support evidence synthesis exercises. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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