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001-es BibID:	BIBFORM081587
Első szerző:	Najm, Aurélie
Cím:	EULAR points to consider for the development, evaluation and implementation of mobile health applications aiding self-management in people living with rheumatic and musculoskeletal diseases / Aurélie Najm, Elena Nikiphorou, Marie Kostine, Christophe Richez, John D. Pauling, Axel Finckh, Valentin Ritschl, Yeliz Prior, Petra Balázová, Simon Stones, Zoltan Szekanecz, Annamaria Iagnocco, Sofia Ramiro, Francisca Sivera, Maxime Dougados, Loreto Carmona, Gerd Burmester, Dieter Wiek, Laure Gossec, Francis Berenbaum
Dátum:	2019
Megjegyzések:	Background Mobile health applications (apps) are available to enable people with rheumatic and musculoskeletal diseases (RMDs) to better self-manage their health. However, guidance on the development and evaluation of such apps is lacking. Objectives The objective of this EULAR task force was to establish points to consider (PtC) for the development, evaluation and implementation of apps for self-management of RMDs. Methods A systematic literature review of app content and development strategies was conducted, followed by patient focus group and an online survey. Based on this information and along with task force expert opinion, PtC were formulated in a face-to-face meeting by a multidisciplinary task force panel of experts, including two patient research partners. The level of agreement among the panel in regard to each PtC was established by anonymous online voting. Results Three overarching principles and 10 PtC were formulated. Three PtC are related to patient safety, considered as a critical issue by the panel. Three are related to relevance of the content and functionalities. The requirement for transparency around app development and funding sources, along with involvement of relevant health professionals, were also raised. Ease of app access across ages and abilities was highlighted, in addition to considering the cost benefit of apps from the outset. The level of agreement was from 8.8 to 9.9 out of 10. Conclusion These EULAR PtC provide guidance on important aspects that should be considered for the development, evaluation and implementation of existing and new apps.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Rheumatic and Musculoskeletal Diseases. - 5 (2019), p. 1-7. -
További szerzők:	Nikiphorou, Elena (reumatológus) Kostine, Marie Richez, Christophe Pauling, John D. Finckh, Axel Ritschl, Valentin Prior, Yeliz Balázová, Petra Stones, Simon Szekanecz Zoltán (1964-) (reumatológus, belgyógyász, immunológus) Iagnocco, Annamaria Ramiro, Sofia Sivera, Francisca Dougados, Maxime Carmona, Loreto Burmester, Gerd R. Wiek, Dieter Gossec, Laure Berenbaum, Francis
Internet cím:	DOI Intézményi repozitóriumban (DEA) tárolt változat
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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
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