Literature DB >> 34245253

Coming to consensus: the Delphi technique.

Marlen Niederberger1, Stefan Köberich2.   

Abstract

Delphi techniques are used in health care and nursing to systematically bring together explicit and implicit knowledge from experts with a research or practical background, often with the goal of reaching a group consensus. Consensus standards and findings are important for promoting the exchange of information and ideas on an interdisciplinary and transdisciplinary basis, and for guaranteeing comparable procedures in diagnostic and therapeutic approaches. Yet, the development of consensus standards using Delphi techniques is challenging because it is dependent on the willingness of experts to participate and the statistical definition of consensus. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author(s) 2021. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Consensus; Delphi technique; Expert; Health; Nursing

Mesh:

Year:  2021        PMID: 34245253     DOI: 10.1093/eurjcn/zvab059

Source DB:  PubMed          Journal:  Eur J Cardiovasc Nurs        ISSN: 1474-5151            Impact factor:   3.908


  3 in total

1.  Perception of Global Participants of ITEC Nations on Country's Preparedness and Response to COVID-19 Pandemic.

Authors:  Kritika Upadhyay; Sonu Goel; Kathirvel Soundappan
Journal:  Front Public Health       Date:  2022-06-09

2.  Clinical standards for the dosing and management of TB drugs.

Authors:  J W C Alffenaar; S L Stocker; L Davies Forsman; A Garcia-Prats; S K Heysell; R E Aarnoutse; O W Akkerman; A Aleksa; R van Altena; W Arrazola de Oñata; P K Bhavani; N Van't Boveneind-Vrubleuskaya; A C C Carvalho; R Centis; J M Chakaya; D M Cirillo; J G Cho; L D Ambrosio; M P Dalcolmo; P Denti; K Dheda; G J Fox; A C Hesseling; H Y Kim; C U Köser; B J Marais; I Margineanu; A G Märtson; M Munoz Torrico; H M Nataprawira; C W M Ong; R Otto-Knapp; C A Peloquin; D R Silva; R Ruslami; P Santoso; R M Savic; R Singla; E M Svensson; A Skrahina; D van Soolingen; S Srivastava; M Tadolini; S Tiberi; T A Thomas; Z F Udwadia; D H Vu; W Zhang; S G Mpagama; T Schön; G B Migliori
Journal:  Int J Tuberc Lung Dis       Date:  2022-06-01       Impact factor: 3.427

3.  A Human Resource Demand Forecasting Method Based on Improved BP Algorithm.

Authors:  Xingguang Lu
Journal:  Comput Intell Neurosci       Date:  2022-03-29
  3 in total

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