prikaz prve stranice dokumenta Workforce requirements in rheumatology: a systematic literature review informing the development of a workforce prediction risk of bias tool and the EULAR points to consider
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Scientific paper - Original scientific paper
Workforce requirements in rheumatology: a systematic literature review informing the development of a workforce prediction risk of bias tool and the EULAR points to consider
RMD Open, 4 (2018), 2; https://doi.org/10.1136/rmdopen-2018-000756
Unger, Julia; Putrik, Polina; Buttgereit, Frank; Aletaha, Daniel; Bianchi, Gerolamo; Bijlsma, Johannes W J; Boonen, Annelies; Čikeš, Nada; Dias, João Madruga; Falzon, Louise; Finckh, Axel; Gossec, Laure; Kvien, Tore K; Matteson, Eric L; Sivera, Francisca; Stamm, Tanja A; Szekanecz, Zoltan; Wiek, Dieter; Zink, Angela; Dejaco, Christian; Ramiro, Sofia More authors...

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Unger, J., Putrik, P., Buttgereit, F., Aletaha, D., Bianchi, G., Bijlsma, J. W. J. ... Ramiro, S. (2018). Workforce requirements in rheumatology: a systematic literature review informing the development of a workforce prediction risk of bias tool and the EULAR points to consider. RMD Open, 4. (2). doi: 10.1136/rmdopen-2018-000756

Unger, Julia, et al. "Workforce requirements in rheumatology: a systematic literature review informing the development of a workforce prediction risk of bias tool and the EULAR points to consider." RMD Open, vol. 4, no. 2, 2018. https://doi.org/10.1136/rmdopen-2018-000756

Unger, Julia, Polina Putrik, Frank Buttgereit, Daniel Aletaha, Gerolamo Bianchi, Johannes W J Bijlsma, Annelies Boonen, et al. "Workforce requirements in rheumatology: a systematic literature review informing the development of a workforce prediction risk of bias tool and the EULAR points to consider." RMD Open 4, no. 2 (2018). https://doi.org/10.1136/rmdopen-2018-000756

Unger, J., et al. (2018) 'Workforce requirements in rheumatology: a systematic literature review informing the development of a workforce prediction risk of bias tool and the EULAR points to consider', RMD Open, 4(2). doi: 10.1136/rmdopen-2018-000756

Unger J, Putrik P, Buttgereit F, Aletaha D, Bianchi G, Bijlsma JWJ, and sur.. Workforce requirements in rheumatology: a systematic literature review informing the development of a workforce prediction risk of bias tool and the EULAR points to consider. RMD Open [Internet]. 2018 [cited 2025 March 13];4(2). doi: 10.1136/rmdopen-2018-000756

J. Unger, et al., "Workforce requirements in rheumatology: a systematic literature review informing the development of a workforce prediction risk of bias tool and the EULAR points to consider", RMD Open, vol. 4, no. 2, 2018. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:105:228914. [Accessed: 13 March 2025]

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Metadata
Title (english)Workforce requirements in rheumatology: a systematic literature review informing the development of a workforce prediction risk of bias tool and the EULAR points to consider
AuthorJulia Unger
AuthorPolina Putrik
AuthorFrank Buttgereit
AuthorDaniel Aletaha
AuthorGerolamo Bianchi
AuthorJohannes W J Bijlsma
AuthorAnnelies Boonen
AuthorNada Čikeš
AuthorJoão Madruga Dias
AuthorLouise Falzon
AuthorAxel Finckh
AuthorLaure Gossec
AuthorTore K Kvien
AuthorEric L Matteson
AuthorFrancisca Sivera
AuthorTanja A Stamm
AuthorZoltan Szekanecz
AuthorDieter Wiek
AuthorAngela Zink
AuthorChristian Dejaco
AuthorSofia Ramiro
Author's institutionUniversity of Zagreb
School of Medicine
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Abstract (english)
Objective: To summarise the available information on physician workforce modelling, to develop a rheumatology workforce prediction risk of bias tool and to apply it to existing studies in rheumatology. ----- Methods: A systematic literature review (SLR) was performed in key electronic databases (1946-2017) comprising an update of an SLR in rheumatology and a hierarchical SLR in other medical fields. Data on the type of workforce prediction models and the factors considered in the models were extracted. Key general as well as specific need/demand and supply factors for workforce calculation in rheumatology were identified. The workforce prediction risk of bias tool was developed and applied to existing workforce studies in rheumatology. ----- Results: In total, 14 studies in rheumatology and 10 studies in other medical fields were included. Studies used a variety of prediction models based on a heterogeneous set of need/demand and/or supply factors. Only two studies attempted empirical validation of the prediction quality of the model. Based on evidence and consensus, the newly developed risk of bias tool includes 21 factors (general, need/demand and supply). The majority of studies revealed high or moderate risk of bias for most of the factors. ----- Conclusions: The existing evidence on workforce prediction in rheumatology is scarce, heterogeneous and at moderate or high risk of bias. The new risk of bias tool should enable future evaluation of workforce prediction studies. This review informs the European League Against Rheumatism points to consider for the conduction of workforce requirement studies in rheumatology.
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titleRMD Open
Numberingvol. 4, no. 2
p-ISSN2056-5933
DOIhttps://doi.org/10.1136/rmdopen-2018-000756
URN:NBNurn:nbn:hr:105:228914
Publication2018
Document URLhttp://doi.org/10.1136/rmdopen-2018-000756
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-03-28 10:29:58