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      Key indicators of ethical challenges in digital healthcare: A combined Delphi exploration and confirmative factor analysis approach with evidence from Khorasan province in Iran

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      Technological Forecasting and Social Change
      Elsevier BV

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          The Delphi method as a research tool: an example, design considerations and applications

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            Research guidelines for the Delphi survey technique.

            Consensus methods such as the Delphi survey technique are being employed to help enhance effective decision-making in health and social care. The Delphi survey is a group facilitation technique, which is an iterative multistage process, designed to transform opinion into group consensus. It is a flexible approach, that is used commonly within the health and social sciences, yet little guidance exists to help researchers undertake this method of data collection. This paper aims to provide an understanding of the preparation, action steps and difficulties that are inherent within the Delphi. Used systematically and rigorously, the Delphi can contribute significantly to broadening knowledge within the nursing profession. However, careful thought must be given before using the method; there are key issues surrounding problem identification, researcher skills and data presentation that must be addressed. The paper does not claim to be definitive; it purports to act as a guide for those researchers who wish to exploit the Delphi methodology.
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              An Experimental Application of the DELPHI Method to the Use of Experts

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                Author and article information

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                Journal
                Technological Forecasting and Social Change
                Technological Forecasting and Social Change
                Elsevier BV
                00401625
                June 2021
                June 2021
                : 167
                : 120724
                Article
                10.1016/j.techfore.2021.120724
                e7e132b2-1f31-4b9d-849e-f7f6ae7e0539
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

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