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Translational framework for implementation evaluation and research: a normalisation process theory coding manual for

Carl R May1, Bianca Albers2, Mike Bracher3

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Summary

A new coding manual simplifies Normalisation Process Theory (NPT) for qualitative researchers. This tool aids transparent data analysis and reduces the burden of implementing healthcare innovations.

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Area of Science:

  • Health Services Research
  • Qualitative Research Methodology
  • Implementation Science

Background:

  • Normalisation Process Theory (NPT) is widely used in qualitative research to understand healthcare innovation implementation.
  • A standardized coding manual is needed to streamline NPT application and data analysis.
  • Existing NPT application can be cognitively and practically burdensome for researchers.

Purpose of the Study:

  • To simplify Normalisation Process Theory (NPT) for practical use by researchers.
  • To detail the development and application of a coding manual for NPT in qualitative analysis.
  • To provide a ready-to-use NPT coding manual for implementation research.

Main Methods:

  • Qualitative content analysis of NPT development literature.
  • Selection, structuring, and testing of NPT constructs.
  • Empirical validation against interview data and published studies using NPT.

Main Results:

  • A coding manual for NPT was developed, featuring 12 primary constructs.
  • The manual aligns with the Context-Mechanism-Outcome framework for realist evaluations.
  • Constructs are defined within specific contexts, mechanisms, and outcomes of implementation.

Conclusions:

  • The NPT coding manual is ready for use, consolidating theory development.
  • It simplifies NPT application and links constructs to realist evaluation methods.
  • The manual serves as a core translational framework for implementation research and evaluation.