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Psychometric properties of two implementation measures: Normalization MeAsure Development questionnaire (NoMAD) and
P Batterham1, Caroline Allenhof2, Arlinda Cerga Pashoja3,4
1Centre for Mental Health Research, Australian National University, Canberra, Australia.
The Normalization MeAsure Development (NoMAD) and Organizational Readiness for Implementing Change (ORIC) questionnaires demonstrate reliable and valid measurement properties. These tools are suitable for multi-national studies assessing implementation effectiveness in healthcare.
Area of Science:
- Healthcare Implementation Science
- Psychometrics
- Mental Health Services Research
Background:
- Successful intervention implementation requires effective strategies and progress monitoring.
- Two key measures, the Normalization MeAsure Development (NoMAD) and Organizational Readiness for Implementing Change (ORIC), assess implementation effectiveness.
- NoMAD assesses Normalization Process Theory concepts, while ORIC measures organizational preparedness for change.
Purpose of the Study:
- To examine the measurement properties of the NoMAD and ORIC.
- To evaluate their validity and reliability in a multi-national implementation effectiveness study.
- To confirm psychometric properties across diverse language settings.
Main Methods:
- A multi-national study involving 318 staff across 12 mental health organizations in 9 countries.
- Translation of NoMAD and ORIC into 8 languages using a forward-backward procedure.
- Analysis of convergent validity, confirmatory factor analysis (CFA), test-retest reliability, internal consistency (Cronbach's alpha), and floor/ceiling effects.
Main Results:
- NoMAD and ORIC measure related but distinct constructs; total scores are appropriate.
- Both measures demonstrated adequate to high internal consistency across total scales and subscales.
- Test-retest reliability was suboptimal; no floor or ceiling effects were observed.
Conclusions:
- The NoMAD and ORIC are confirmed as valid and reliable measures in multi-national mental health care settings.
- These instruments effectively assess different but related aspects of implementation processes.
- Their psychometric properties are robust across various language contexts, supporting their use in global research.
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