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An Adaptation of the RAND/UCLA Modified Delphi Panel Method in the Time of COVID-19.
Broder, Michael S; Gibbs, Sarah N; Yermilov, Irina.
  • Broder MS; Outcomes Research, Partnership for Health Analytic Research (PHAR), LLC, Beverly Hills, CA, USA.
  • Gibbs SN; Outcomes Research, Partnership for Health Analytic Research (PHAR), LLC, Beverly Hills, CA, USA.
  • Yermilov I; Outcomes Research, Partnership for Health Analytic Research (PHAR), LLC, Beverly Hills, CA, USA.
J Healthc Leadersh ; 14: 63-70, 2022.
Article in English | MEDLINE | ID: covidwho-1951786
ABSTRACT
The RAND/UCLA modified Delphi panel method is a formal group consensus process that systematically and quantitatively combines expert opinion and evidence by asking panelists to rate, discuss, then re-rate items. The method has been used to develop medical society guidelines, other clinical practice guidelines, disease classification systems, research agendas, and quality improvement interventions. Traditionally, a group of experts meet in person to discuss results of a first-round survey. After the meeting, experts complete a second-round survey used to develop areas of consensus. During the COVID-19 pandemic, this aspect of the method was not possible. As such, we have adapted the method to conduct virtual RAND/UCLA modified Delphi panels. In this study, we present a targeted literature review to describe and summarize the existing evidence on the RAND/UCLA modified Delphi panel method and outline our adaptation for conducting these panels virtually. Transitioning from in-person to virtual meetings was not without challenges, but there have also been unexpected advantages. The method we describe here can be a cost-effective and efficient alternative for researchers and clinicians.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Reviews Language: English Journal: J Healthc Leadersh Year: 2022 Document Type: Article Affiliation country: JHL.S352500

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Reviews Language: English Journal: J Healthc Leadersh Year: 2022 Document Type: Article Affiliation country: JHL.S352500