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dc.contributor.authorJarden, RJen_NZ
dc.contributor.authorNarayanan, Aen_NZ
dc.contributor.authorSandham, Men_NZ
dc.contributor.authorSiegert, RJen_NZ
dc.contributor.authorKoziol-Mclain, Jen_NZ
dc.date.accessioned2020-04-06T00:07:46Z
dc.date.available2020-04-06T00:07:46Z
dc.date.copyright2019en_NZ
dc.identifier.citationBMC Nursing, 18(1), 21.
dc.identifier.issn1472-6955en_NZ
dc.identifier.issn1472-6955en_NZ
dc.identifier.urihttp://hdl.handle.net/10292/13249
dc.description.abstractBackground: Intensive care nurse wellbeing is essential to a healthy healthcare workforce. Enhanced wellbeing has widespread benefits for workers. Bibliometrics enables quantitative analysis of bourgeoning online data. Here, a new model is developed and applied to explore empirical knowledge underpinning wellbeing and intensive care nurse wellbeing in terms of size and impact, disciplinary reach, and semantics. Methods: Mixed methods bibliometric study. Firstly, a new model coined 'iAnalysis' was developed for the analysis of published data. Secondly, iAnalysis was applied in two studies to examine wellbeing and ICU nurse wellbeing. Study one explored data from a title search with search terms [wellbeing OR well-being], identifying 17,543 records with bibliographic data. This dataset included 20,526 keywords. Of the identified records, 10,715 full-text manuscripts were retrieved. Study two explored data from a topic search with search terms [(intensive OR critical) AND (nurs) AND (wellbeing OR well-being)], identifying 383 records with bibliographic data. This dataset included 1223 author keywords. Of the identified records, 328 full-text manuscripts were retrieved. Results: Once data were collected, for size and impact, WoS Clarivate Analytics™ and RStudio™ were used to explore publication dates, frequencies, and citation performance. For disciplinary reach, RStudio™ (with the Bibliometrics™ package & Vosviewer™ plugin) was used to explore the records in terms of country of publication, journal presence, and mapping of authors. For semantics, once the bibliographic data was imported to RStudio™ (with the Bibliometrics™ package & Vosviewer™ plugin) keyword co-occurrences were identified and visualised. Full-text manuscripts were imported to NVivo™ to explore word frequencies of both the keywords and full-text manuscripts using the word frequency search. For both studies, records were predominantly published in the past 5 years, in English language, and from USA. The highest keyword co-occurrence for study one was "health and well-being", and for study two, "family and model". Conclusions: Terms commonly associated with 'illbeing', as opposed to 'wellbeing', were highly prevalent in both study datasets, but more so in intensive care nurse wellbeing data. Intensive care nurse wellbeing was virtually absent in this literature. The iAnalysis model provided a practice-friendly tool to explore a large source of online published literature.en_NZ
dc.publisherBioMed Central Ltd
dc.relation.urihttps://bmcnurs.biomedcentral.com/track/pdf/10.1186/s12912-019-0343-1en_NZ
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
dc.subjectBibliometrics; Critical care nurses; Intensive care unit; Text analytics; Wellbeing
dc.titleBibliometric Mapping of Intensive Care Nurses' Wellbeing: Development and Application of the New iAnalysis Modelen_NZ
dc.typeJournal Article
dc.rights.accessrightsOpenAccessen_NZ
dc.identifier.doi10.1186/s12912-019-0343-1en_NZ
aut.relation.issue1en_NZ
aut.relation.volume18en_NZ
pubs.elements-id360209
aut.relation.journalBMC Nursingen_NZ


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