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A minimum dataset for destination therapy with left ventricular assist device: the evidence that matters to decision makers

PUÑAL RIOBOO, JANET; Faraldo Vallés, María José; Nogueira Uzal, Natalia; Hannah, Patrick; Varela Lema, Leonor
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URI: http://hdl.handle.net/20.500.11940/19441
PMID: 39819482
DOI: https://doi.org/10.1017/S0266462325000054.
DOI: 10.1017/S0266462325000054
ESSN: 1471-6348
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A minimum dataset for destination therapy with left ventricular assist device: the evidence that matters to decision makers (1012.Kb)
Data de publicación
2025-01-17
Título da revista
Int J Technol Assess Health Care
 
International journal of technology assessment in health care
 
Tipo de contido
Artigo
DeCS
registros como asunto | dispositivos de asistencia cardíaca
MeSH
Heart-Assist Devices | Records as Topic
Resumo
Left ventricular assist devices (LVAD) are a therapeutic option in patients with advanced heart failure (HF) not a candidate for cardiac transplant as destination therapy (DT). However, important uncertainties remain regarding the use of LVAD in the long-term in real practice settings. When planning registries, it is important to choose the appropriate outcomes that ensure comparability and reduce the possibility of bias. The purpose of this study was to establish a minimum dataset (MDS) that should be collected in all LVAD for DT registries to meet the needs and demands of Health Technology Assessment (HTA) doers and health professionals. To design the MDS for LVAD, a preliminary list of outcome domains and data items were developed attending to the gaps and research needs derived from existing evidence coming from HTA carried out at the European Network of Health Technology Assessment (EUnetHTA) level. The list of data items and domains was agreed upon by all involved HTA organizations and a three-round Delphi was conducted among an experienced panel of cardiologists to rate the importance of the items for measuring uncertainty gaps. After the three-round Delphi process, the expert panel reached a consensus regarding eighteen outcomes and forty-seven variables divided into seven main domains (safety, effectiveness, patient acceptability, satisfaction, healthcare system impact, pharmaceutical management, and technique-related factors). The MDS of outcomes and measures, developed based on research gaps and needs, can allow for standardizing data collection and improving the quality of data for decision making and practice.

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