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Optimizing research-to-practice translation time through the mountain model: A Delphi study.

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This summary is machine-generated.

The Mountain Model (MM) for evidence-based practice quality improvement (EBPQI) was validated by experts, showing it can speed up research translation. Experts agreed the MM has high value for healthcare improvements.

Keywords:
ClinicianEvidence-based practicePractitionerQuality improvementResearch

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Area of Science:

  • Healthcare quality improvement
  • Evidence-based practice implementation

Background:

  • The Mountain Model (MM) is the first framework merging evidence-based practice (EBP) and quality improvement (QI).
  • It guides practitioners in translating research for sustained practice improvements.

Purpose of the Study:

  • To empirically validate the Mountain Model (MM) process.
  • To assess its efficiency in translating research into practice.

Main Methods:

  • A three-round Delphi study was conducted.
  • Participants included practicing EBP and QI experts from eight healthcare disciplines.

Main Results:

  • Consensus was reached on 18 out of 22 items.
  • The MM was perceived as highly valuable and likely to reduce research-to-practice translation time.
  • Potential revisions included an interdisciplinary focus and local problem identification.

Conclusions:

  • The Mountain Model (MM) offers significant value for EBPQI.
  • It has the potential to create synergies across the evidence continuum.
  • It supports scalable and transferable healthcare improvements.