Validation of the knowledge on the Noor evidence-based medicine questionnaire for healthcare professionals: Rasch analysis
Mohd Noor Norhayati 1 * , Mat Nawi Zanaridah 2 , Ruhana Che Yusof 3
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1 Department of Family Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kelantan, MALAYSIA2 Klinik Kesihatan Putatan, Jalan Pasir Putih, Putatan, Sabah, MALAYSIA3 Department of Medicine, Faculty of Medicine, Universiti Malaya, Wilayah Persekutuan Kuala Lumpur, MALAYSIA* Corresponding Author

Abstract

Aim: This study aimed to examine the construct verification of the knowledge on the Noor evidence-based medicine (EBM) questionnaire using the Rasch measurement model.
Methods: A cross-sectional study was conducted among ninety healthcare professionals working in a government hospital. The Rasch model was used to investigate the distribution of statistics, unidimensionality, polarity, misfit, and Wright map.
Results: The Rasch analysis showed that the 15 items had high reliability of items at 0.96, while reliability for persons were 0.81. Item K15 is a misfit (PtMea Corr=0.22, outfit MnSq=1.95, outfit z-std=5.00, infit MnSq=1.63, infit z-std=3.60); the item does not contribute to the construction of scale but not degrading. Three items (K1, K14, and K9) can easily be answered even by low ability respondents.
Conclusions: The Noor EBM questionnaire knowledge is robust with excellent psychometric properties that can be used for both research and clinical purposes.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Original Article

ELECTRON J GEN MED, 2023, Volume 20, Issue 6, Article No: em534

https://doi.org/10.29333/ejgm/13535

Publication date: 01 Nov 2023

Online publication date: 06 Aug 2023

Article Views: 970

Article Downloads: 725

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