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  1. Significance of Nasal Septum Angulation and Its Association with Rhinosinusitis Symptom Scores
    Lazim NM, Abdullah AM, Abdullah B, Ismail ZIM
    Medeni Med J, 2019;34(4):333-339.
    PMID: 32821458 DOI: 10.5222/MMJ.2019.25986
    Objective: The aim of the study was to determine the association of angulation of nasal septum with the severity of rhinosinusitis as measured by symptom score and Visual Analog Score (VAS).

    Method: The study was performed as a cross sectional study conducted at two different centres in Malaysia. Ninety-eight patients who were diagnosed with rhinosinusitis and fulfilled the selection criteria were assessed as for the symptom score and VAS and the measurement of angulation of nasal septum was performed through a coronal view of CT paranasal sinuses in bone window setting at osteomeatal complex level.

    Results: The result obtained from one-way ANOVA test revealed a significant association between category of severity of septal angulation and the symptom score of rhinosinusitis (p=0.025). In addition, the result obtained from one-way ANOVA test also revealed a significant association between category of severity of septal angulation and the VAS of rhinosinusitis (p<0.05).

    Conclusion: Severity of nasal septum angulation may be significantly associated with severity of rhinosinusitis based on symptom score and VAS. These findings could be used in tailored management of patient with rhinosinusitis especially during functional endoscopic sinus surgery.

  2. Anatomy education environment measurement inventory: A valid tool to measure the anatomy learning environment
    Hadie SNH, Hassan A, Ismail ZIM, Asari MA, Khan AA, Kasim F, et al.
    Anat Sci Educ, 2017 Sep;10(5):423-432.
    PMID: 28135037 DOI: 10.1002/ase.1683
    Students' perceptions of the education environment influence their learning. Ever since the major medical curriculum reform, anatomy education has undergone several changes in terms of its curriculum, teaching modalities, learning resources, and assessment methods. By measuring students' perceptions concerning anatomy education environment, valuable information can be obtained to facilitate improvements in teaching and learning. Hence, it is important to use a valid inventory that specifically measures attributes of the anatomy education environment. In this study, a new 11-factor, 132-items Anatomy Education Environment Measurement Inventory (AEEMI) was developed using Delphi technique and was validated in a Malaysian public medical school. The inventory was found to have satisfactory content evidence (scale-level content validity index [total] = 0.646); good response process evidence (scale-level face validity index [total] = 0.867); and acceptable to high internal consistency, with the Raykov composite reliability estimates of the six factors are in the range of 0.604-0.876. The best fit model of the AEEMI is achieved with six domains and 25 items (X2  = 415.67, P 
  3. Fulltext Anatomy Education Environment Measurement Inventory (AEEMI): a cross-validation study in Malaysian medical schools
    Hadie SNH, Yusoff MSB, Arifin WN, Kasim F, Ismail ZIM, Asari MA, et al.
    BMC Med Educ, 2021 Jan 14;21(1):50.
    PMID: 33446203 DOI: 10.1186/s12909-020-02467-w
    BACKGROUND: The Anatomy Education Environment Measurement Inventory (AEEMI) evaluates the perception of medical students of educational climates with regard to teaching and learning anatomy. The study aimed to cross-validate the AEEMI, which was previously studied in a public medical school, and proposed a valid universal model of AEEMI across public and private medical schools in Malaysia.

    METHODS: The initial 11-factor and 132-item AEEMI was distributed to 1930 pre-clinical and clinical year medical students from 11 medical schools in Malaysia. The study examined the construct validity of the AEEMI using exploratory and confirmatory factor analyses.

    RESULTS: The best-fit model of AEEMI was achieved using 5 factors and 26 items (χ 2 = 3300.71 (df = 1680), P

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