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The Swedish version of the Normalization Process Theory Measure S-NoMAD: translation, adaptation, and pilot testing
Marie Elf1,2, Sofi Nordmark3, Johan Lyhagen4
1School of Education, Health and Social Studies, Dalarna University, Falun, Sweden.
The Swedish Normalization Process Theory Measure (S-NoMAD) shows promising initial psychometric properties for assessing healthcare intervention implementation. Further validation is needed to establish its reliability and validity across diverse settings.
Area of Science:
- Healthcare implementation science
- Psychometric validation
- Health services research
Background:
- The Normalization Process Theory Measure (NoMAD) assesses intervention implementation through four constructs: Coherence, Cognitive Participation, Collective Action, and Reflexive Monitoring.
- These constructs guide understanding of how interventions integrate into routine healthcare practices.
Purpose of the Study:
- To translate the British NoMAD into Swedish (S-NoMAD).
- To evaluate the psychometric properties of the S-NoMAD through a pilot study in diverse Swedish healthcare contexts (in-hospital, primary, community care).
Main Methods:
- A systematic four-step translation process including forward/backward translation and expert reviews.
- Pilot study involving 144 healthcare professionals/managers across various care settings.
- Confirmatory factor analysis and Cronbach's alpha were used to assess validity and reliability.
Main Results:
- The S-NoMAD demonstrated good fit for Coherence and Cognitive Participation constructs.
- After item deletion, the model showed good fit and internal consistency (Cronbach's alpha 0.78–0.83) for all constructs.
- High correlations were observed between Reflexive Monitoring and other factors, suggesting potential areas for refinement.
Conclusions:
- The S-NoMAD exhibits satisfactory initial psychometric properties for its first validation.
- Further extensive validation in varied settings and populations is necessary to fully establish the S-NoMAD's validity and reliability.
- The iterative nature of instrument development requires ongoing psychometric testing for robust clinical application.
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