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Developing Core Outcome (Measurement) Sets for Critical Care Research Using the Modified Delphi Method: A Narrative

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Summary
This summary is machine-generated.

High-quality core outcome sets (COSs) and core outcome measurement sets (COMSs) are crucial for critical care research. Careful planning and reporting of their development, often using the Delphi method, enhance their quality and clinical trial data utility.

Keywords:
Delphi techniqueclinical research protocolscritical care outcomespatient-reported outcome measurespulmonary medicine

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Area of Science:

  • Critical care research
  • Clinical trial methodology
  • Health outcomes research

Background:

  • Core Outcome Sets (COSs) and Core Outcome Measurement Sets (COMSs) improve research by enabling comparison and combination of clinical trial results.
  • The development of COSs and COMSs in critical care is increasing, with the Delphi method being most common.
  • Substantial variation exists in the quality of developed COSs and COMSs.

Purpose of the Study:

  • To review the current landscape of COSs and COMSs in critical care research.
  • To highlight best practices in the development and reporting of COSs and COMSs.
  • To emphasize the importance of quality in these research tools.

Main Methods:

  • Review of registered and ongoing development projects for COSs and COMSs in critical care.
  • Analysis of the predominant Delphi method for consensus development.
  • Identification of key considerations for designing effective Delphi studies.

Main Results:

  • At least 39 COSs and 10 COMSs exist for critical care, with 21 ongoing projects.
  • The Delphi method is widely used but requires careful planning for effectiveness.
  • Detailed reporting, clear scope definition, and stakeholder engagement are crucial.

Conclusions:

  • Thorough preliminary work, planning, and reporting are essential for developing high-quality COSs and COMSs.
  • Well-developed COSs and COMSs ensure alignment with stakeholder opinions.
  • Improved COSs and COMSs enhance the utility of clinical trial data in critical care.