CCL

Összesen 2 találat.
#/oldal:
Részletezés:
Rendezés:

1.

001-es BibID:BIBFORM075623
035-os BibID:(cikkazonosító)e000780 (WoS)000455537200030 (Scopus)85058345877
Első szerző:Dejaco, Christian
Cím:EULAR 'points to consider' for the conduction of workforce requirement studies in rheumatology / Christian Dejaco, Polina Putrik, Julia Unger, Daniel Aletaha, Gerolamo Bianchi, Johannes W. Bijlsma, Annelies Boonen, Nada Cikes, Axel Finck, Laure Gossec, Tore K. Kvien, Joao Madruga Dias, Eric L. Matteson, Francisca Sivera, Tanja A. Stamm, Zoltan Szekanecz, Dieter Wiek, Angela Zink, Sofia Ramiro, Frank Buttgereit
Dátum:2018
ISSN:2056-5933
Megjegyzések:Objective: Current methods used for forecasting workforce requirements in rheumatology are disparate, as are the parameters incorporated into workforce projection studies. The objective of these European League Against Rheumatism (EULAR points to consider (PTC) is to guide future workforce studies in adult rheumatology in order to produce valid and reliable manpower estimates. Methods: The EULAR Standardised Operating Procedures were followed. A multidisciplinary task force with experts including patients with rheumatic diseases from 11 EULAR countries and the USA was assembled. A systematic literature review (SLR) was conducted to retrieve workforce models in rheumatology and other medical fields. PTC were based on expert opinion informed by the SLR, followed by group discussions with consensus obtained through informal voting. The level of agreement with the PTC was voted anonymously. Results: A total of 10 PTC were formulated. The task force recommends models integrating supply (=workforce available in rheumatology), demand (=health services requested by the population) and need (=health services that are considered appropriate to serve the population). In general, projections of workforce requirements should consider all factors relevant for current and future workload in rheumatology inside and outside of direct patient care. Forecasts of workforce supply should consider demography and attrition of rheumatologists, as well as the effects of new developments in healthcare. Predictions of future need/demand should take demographic, sociocultural and epidemiological development of the population into account. Conclusion: These EULAR-endorsed PTC will provide guidance on the methodology and the parameters to be applied in future national and international workforce requirement studies in rheumatology.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:RMD Open. - 4 : 2 (2018), p. 1-8. -
További szerzők:Putrik, Polina Unger, Julia Aletaha, Daniel Bianchi, Gerolamo Bijlsma, Johannes W. Boonen, Annelies Cikes, Nada Finck, Axel Gossec, Laure Kvien, Tore K. Dias, João Madruga Matteson, Eric L. Sivera, Francisca Stamm, Tanja A. Szekanecz Zoltán (1964-) (reumatológus, belgyógyász, immunológus) Wiek, Dieter Zink, Angela Ramiro, Sofia Buttgereit, Frank
Internet cím:DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

2.

001-es BibID:BIBFORM076711
035-os BibID:(cikkazonosító)e000756
Első szerző:Unger, Julia
Cím: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 / Julia Unger, Polina Putrik, Frank Buttgereit, Daniel Aletaha, Gerolamo Bianchi, Johannes W. J. Bijlsma, Annelies Boonen, Nada Cikes, João Madruga Dias, Louise Falzon, Axel Finckh, Laure Gossec, Tore K. Kvien, Eric L. Matteson, Francisca Sivera, Tanja A. Stamm, Zoltan Szekanecz, Dieter Wiek, Angela Zink, Christian Dejaco, Sofia Ramiro
Dátum:2018
Megjegyzések: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.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Rheumatic and Musculoskeletal Diseases. - 4 : 2 (2018), p. 1-19. -
További szerzők:Putrik, Polina Buttgereit, Frank Aletaha, Daniel Bianchi, Gerolamo Bijlsma, Johannes W. Boonen, Annelies Cikes, Nada Dias, João Madruga Falzon, Louise Finckh, Axel Gossec, Laure Kvien, Tore K. Matteson, Eric L. Sivera, Francisca Stamm, Tanja A. Szekanecz Zoltán (1964-) (reumatológus, belgyógyász, immunológus) Wiek, Dieter Zink, Angela Dejaco, Christian Ramiro, Sofia
Internet cím:DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Rekordok letöltése1