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Metadata-driven Delphi rating on the Internet.

Aniruddha M Deshpande1, Richard N Shiffman, Prakash M Nadkarni

  • 1Center for Medical Informatics, Yale University School of Medicine, PO Box 208009, New Haven, CT 06520-8009, USA. aniruddha.despande@yale.edu

Computer Methods and Programs in Biomedicine
|January 11, 2005
PubMed
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A new web-based Delphi tool streamlines consensus development, offering a convenient and acceptable alternative to traditional paper methods. This efficient system enhances data collection and analysis for expert groups.

Area of Science:

  • Health Informatics
  • Medical Informatics
  • Health Services Research

Background:

  • Traditional paper-based consensus development methods are inefficient and prone to errors.
  • Computerized alternatives are often perceived as costly, inconvenient, and difficult to use.

Purpose of the Study:

  • To design and implement a metadata-driven, Web-based Delphi rating and analysis tool.
  • To create generic, reusable software adaptable to various domains by modifying metadata.

Main Methods:

  • Developed a Web-based Delphi tool using an entity-attribute-value schema for flexibility.
  • Applied the software for the Conference on Guidelines Standardization, involving 23 experts in the first round.
  • Generated individualized reports detailing median ratings and disagreement indices (Interpercentile Range Adjusted for Symmetry).

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Main Results:

  • Web-based data entry was rated as convenient (median 4), acceptable (median 4.5), and easily accessible (median 5) by expert panelists.
  • The software successfully facilitated the first round of Delphi ratings for consensus development.
  • Individualized reports provided clear metrics for rating and disagreement.

Conclusions:

  • Web-based Delphi rating is a viable and user-friendly alternative to paper-based methods for consensus development.
  • The metadata-driven approach significantly reduces the cost of software reuse across different applications.
  • The implemented tool enhances efficiency and user satisfaction in expert consensus processes.