scholarly journals Learning curve estimation in medical devices and procedures: hierarchical modeling

2017 ◽  
Vol 36 (27) ◽  
pp. 4420-4420
Author(s):  
Usha S. Govindarajulu ◽  
Marco Stillo ◽  
David Goldfarb ◽  
Michael E. Matheny ◽  
Frederic S. Resnic
2017 ◽  
Vol 36 (17) ◽  
pp. 2764-2785 ◽  
Author(s):  
Usha S. Govindarajulu ◽  
Marco Stillo ◽  
David Goldfarb ◽  
Michael E. Matheny ◽  
Frederic S. Resnic

2017 ◽  
Vol 20 (9) ◽  
pp. A739-A740
Author(s):  
C Federici ◽  
P Armeni ◽  
F Costa ◽  
R Tarricone

2013 ◽  
Vol 61 (10) ◽  
pp. E1502
Author(s):  
Aartik Sarma ◽  
Sharon-Lise T. Normand ◽  
Laura A. Hatfield ◽  
Michael E. Matheny ◽  
Frederic S. Resnic

2019 ◽  
Vol 35 (S1) ◽  
pp. 25-25
Author(s):  
Maximilian Blüher ◽  
Virginie Mittard ◽  
Rafael Torres ◽  
Rhodri Saunders

IntroductionHealth technology assessment (HTA) includes consideration of health and economic factors, playing a key role in optimizing healthcare provision in Europe. Medical devices are an important contributor to both health outcomes and the cost of healthcare provision, yet they are rarely addressed in current guidance for health-economic evaluation. Our aim is to help improve assessment of medical devices via review of European health-economic guidelines and recent research.MethodsSearches for European HTA guidelines were performed and where available were reviewed by two researchers working independently. Additionally, a systematic review of published literature focused on assessment of medical devices was conducted. English, German, or French literature published between 2000 and 2017 was analyzed. The status of HTA guidance to date was subsequently reviewed in light of current research findings and suggestions made to help improve standardization.ResultsOf the 41 investigated European countries, 22 had official HTA guidance. Only four of 22 (18 percent) dedicated documentation to guidance specific to medical devices. Where differences between pharmaceuticals and medical devices were highlighted, specifics for health-economic assessment of medical devices were generally absent. The systematic review yielded 472 unique articles, 28 of which underwent full-text review. Issues surrounding medical device value assessment that commonly emerged were: limited evidence base, learning curve effects, organizational impact, incremental innovation, diversity of devices, dynamic pricing, and transferability. While identification of issues was ubiquitous, actionable suggestions on how to overcome them were less common. The most frequent recommendations were use of Bayesian methods, inclusion of real-world data, and modelling the learning curve. Key to implementation is determination of the medical device type and its impact duration.ConclusionsCurrent guidelines rarely address the needs of medical devices. Practical recommendations for improvements exist and provide opportunity to start discussion on how best to serve the medical devices field and improve the HTA process.


PLoS ONE ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. e0157355 ◽  
Author(s):  
Matthias Deliano ◽  
Karsten Tabelow ◽  
Reinhard König ◽  
Jörg Polzehl

1992 ◽  
Vol 1 (4) ◽  
pp. 323-347 ◽  
Author(s):  
DeVerle P. Harris ◽  
Tetevi Wilson

Author(s):  
Delma P. Thomas ◽  
Dianne E. Godar

Ultraviolet radiation (UVR) from all three waveband regions of the UV spectrum, UVA (320-400 nm), UVB (290-320 nm), and UVC (200-290 nm), can be emitted by some medical devices and consumer products. Sunlamps can expose the blood to a considerable amount of UVR, particularly UVA and/or UVB. The percent transmission of each waveband through the epidermis to the dermis, which contains blood, increases in the order of increasing wavelength: UVC (10%) < UVB (20%) < UVA (30%). To investigate the effects of UVR on white blood cells, we chose transmission electron microscopy to examine the ultrastructure changes in L5178Y-R murine lymphoma cells.


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