A Hypothetical Model to Predict Nursing Students’ Perceptions of the Usefulness of Pre-Service Integrated Management of Childhood Illness Training

Fannah A. Al-Araimi, Sitwat U. Langrial


Objectives: This study aimed to test a hypothetical model to predict nursing students’ perceptions of the usefulness of pre-service Integrated Management of Childhood Illness (IMCI) training and their intention to apply this training in clinical practice. Methods: This study was carried out at the Sur Nursing Institute, Sur, Oman, in May 2015. Using six predefined constructs, a hypothetical structural model was created. The constructs were used as latent variables to highlight their probable impact on intention to apply IMCI-related knowledge and skills in practice. A structured validated questionnaire was subsequently developed to assess the perceptions of nursing students. Factor loadings and calculated variances were examined to ensure convergent validity. Cronbach’s alpha was used to calculate internal consistency reliability. Results: Factor loadings for each item in the model were above 0.70. All of the constructs had Cronbach’s alpha values over 0.700, except for enhanced assessment skills (Cronbach’s alpha: 0.694). The variance extracted value was 0.815 for perceived usefulness, 0.800 for enhanced assessment skills, 0.687 for enhanced knowledge, attitudes and skills, 0.697 for enhanced confidence, 0.674 for enhanced counselling skills and 0.805 for future intention to use IMCI in a clinical setting. Conclusion: Overall, the results support the hypothetical model and indicate that nursing students perceive IMCI training to be beneficial and intend to apply IMCI-related knowledge and skills in clinical practice.


Statistical Model; Nursing; Perceptions; Disease Management; Oman

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DOI: http://dx.doi.org/10.18295/squmj.2016.16.04.011


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Sultan Qaboos University Medical Journal, College of Medicine and Health Sciences, Sultan Qaboos University, PO Box 35, Postal Code 123, Al-Khod, Muscat, Oman

ISSN (Print edition): 2075-051X ISSN (Internet edition): 2075-0528

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