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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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 Više autora...

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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, br. 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, br. 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, i 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. [pristupljeno 09.10.2024.];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, br. 2, 2018. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:105:228914. [Citirano: 09.10.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:105:228914
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Naslov (engleski)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
AutorJulia Unger
AutorPolina Putrik
AutorFrank Buttgereit
AutorDaniel Aletaha
AutorGerolamo Bianchi
AutorJohannes W J Bijlsma
AutorAnnelies Boonen
AutorNada Čikeš
AutorJoão Madruga Dias
AutorLouise Falzon
AutorAxel Finckh
AutorLaure Gossec
AutorTore K Kvien
AutorEric L Matteson
AutorFrancisca Sivera
AutorTanja A Stamm
AutorZoltan Szekanecz
AutorDieter Wiek
AutorAngela Zink
AutorChristian Dejaco
AutorSofia Ramiro
Autorova ustanovaSveučilište u Zagrebu
Medicinski fakultet
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Kliničke medicinske znanosti
Sažetak (engleski)
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.
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaRMD Open
Brojčani podacivol. 4, br. 2
p-ISSN2056-5933
DOIhttps://doi.org/10.1136/rmdopen-2018-000756
URN:NBNurn:nbn:hr:105:228914
Datum objave publikacije2018
URL dokumentahttp://doi.org/10.1136/rmdopen-2018-000756
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
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Datum i vrijeme pohrane2024-03-28 10:29:58