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Ethical challenges for Health Technology Assessment (HTA) in the evolving evidence landscape
被引:0
|作者:
Refolo, Pietro
[1
,2
]
Duthie, Katherine
[3
]
Hofmann, Bjorn
[4
]
Stanak, Michal
[5
]
Bertelsen, Neil
[6
]
Bloemen, Bart
[7
]
Di Bidino, Rosella
[2
]
Oortwijn, Wija
[7
]
Raimondi, Costanza
[1
,2
]
Sacchini, Dario
[1
,2
]
van der Wilt, Gert Jan
[7
]
Bond, Kenneth
[8
]
机构:
[1] Univ Cattolica Sacro Cuore, Dept Healthcare Surveillance & Bioeth, Rome, Italy
[2] IRCCS, Fdn Policlin Univ A Gemelli, Rome, Italy
[3] Univ Alberta, John Dossetor Hlth Eth Ctr, Edmonton, AB, Canada
[4] Norwegian Univ Sci & Technol, Dept Hlth Sci, Gjovik, Norway
[5] Natl Inst Value & Technol Healthcare NIHO, Bratislava, Slovakia
[6] Neil Bertelsen Consulting, Hlth Technol Assessment Int HTAi Patient & Citizen, Berlin, Germany
[7] Radboud Univ Nijmegen, Dept Hlth Evidence, Med Ctr, Nijmegen, Netherlands
[8] Linkoping Univ, Dept Hlth Med & Caring Sci, Linkoping, Sweden
关键词:
randomized controlled trial;
evidence-based medicine;
artificial intelligence;
ethics;
D O I:
10.1017/S0266462324000394
中图分类号:
R19 [保健组织与事业(卫生事业管理)];
学科分类号:
摘要:
Since its inception, Health Technology Assessment (HTA) has typically determined the value of a technology by collecting information derived from randomized clinical trials (RCTs), in line with the principles of evidence-based medicine (EBM). However, data from RCTs did not constitute the sole source of information, as other types of evidence (such as primary qualitative research) have often been utilized. Recent advances in both generating and collecting other types of evidence are broadening the landscape of evidence, adding complexity to the discussion of " robustness of evidence." What are the consequences of these recent developments for the methodology and conduct of HTA, the HTA community, and its ethical commitments? The aim of this article is to explore some ethical challenges that are emerging in the current evolving evidence landscape, particularly changes in evidence generation and collection (e.g., diversification of data sources), and shifting standards of evidence in the field of HTA (e.g., increasing acceptability of evidence that is thought of as lower quality). Our conclusion is that deciding how to best maintain trustworthiness is common to all these issues.
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