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The implementation and validation of the NoMAD during a complex primary care intervention
Larkin Lamarche1, Rebecca E Clark1, Fiona Parascandalo1
1Department of Family Medicine, McMaster University, David Braley Health Sciences Centre, 100 Main Street West, 5th Floor, Hamilton, ON, L8P 1H6, Canada.
The NoMAD questionnaire, based on Normalization Process Theory (NPT), was implemented to assess a complex health intervention. Findings suggest fewer data collection points improve feedback efficiency for intervention normalization.
Area of Science:
- Healthcare implementation science
- Health services research
- Clinical intervention assessment
Background:
- Normalization Process Theory (NPT) is a framework for understanding intervention implementation.
- The NoMAD (Normalization Measurement Development) questionnaire is a 23-item instrument based on NPT.
- This study describes the implementation experience and psychometric properties of the NoMAD.
Purpose of the Study:
- To describe the implementation experience of the NoMAD questionnaire.
- To evaluate the NoMAD as a feedback mechanism for complex health interventions.
- To further explore the psychometric properties of the NoMAD instrument.
Main Methods:
- The NoMAD was administered six times over 12 months to healthcare team members at seven sites implementing Health TAPESTRY.
- A visual traffic light summary (TLS) was used for feedback.
- Internal consistency and validity of the NoMAD were assessed.
Main Results:
- 56 healthcare team members completed the NoMAD across six sites.
- Implementation with multiple feedback points was time-consuming.
- Most internal consistency values (60%) and correlations (86%) among subscales were satisfactory and significant.
- Scores generally increased over 12 months, higher in experienced sites.
Conclusions:
- Fewer data collection points (e.g., three spaced over months) are recommended for repeated NoMAD administration for feedback.
- The study provides additional evidence for the psychometric properties of the NoMAD.
- The NoMAD can offer insights into the normalization of complex health interventions.
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