1887
Volume 2023, Issue 1
  • ISSN: 1999-7086
  • EISSN: 1999-7094

Abstract

Stroke is a significant public health problem in Malaysia. The public needs to be educated and advocated for an early visit to the emergency department for treatment and rehabilitation to minimize the risk of disability and death. One way to increase the public’s awareness is by strengthening their knowledge of the recognition of stroke. The purpose of this study is to validate the content, face, and construct of the Stroke Knowledge Test Questionnaire (SKTQ-BM), a newly revised and improved stroke knowledge questionnaire in Bahasa Melayu aimed at the public in Malaysia. This study has two phases. Item adaptation and modification, content validity testing with expert panels, and face validity testing with 10 respondents comprised the first phase. The second phase, which included 201 responders, consisted of a psychometric test based on Item Response Theory (IRT). IRT revealed that the knowledge section consisted of 4 domains, with a total of 29 items being unidimensional, after removing items with high difficulty coefficients (outside the range of −3 to +3) and items with shallow discrimination values (0.35). The SKTQ-BM is a well-validated and dependable tool for evaluating the knowledge of early stroke recognition, which can be used to build future population stroke intervention programs that enhance effective knowledge conversion.

Loading

Article metrics loading...

/content/journals/10.5339/jemtac.2023.8
2023-02-06
2024-02-27
Loading full text...

Full text loading...

/deliver/fulltext/jemtac/2023/1/jemtac.2023.8.html?itemId=/content/journals/10.5339/jemtac.2023.8&mimeType=html&fmt=ahah

References

  1. Department of Statistics Malaysia. Statistics on Causes of Death, Malaysia 2019[press release].
    [Google Scholar]
  2. Malaysia National Health and Morbidity Survey 2011. Institute for Public Health, Ministry of Health, Malaysia.
    [Google Scholar]
  3. Wardlaw JM, Murray V, Berge E, Del Zoppo G, Sandercock P, Lindley RL, et al. Recombinant tissue plasminogen activator for acute ischaemic stroke: an updated systematic review and meta-analysis. Lancet. 2012; 379:(9834):2364–72.
    [Google Scholar]
  4. Deen MKA, Azlan NMN, Fairuz AM, Zuraidah CM. Stroke community awareness among public: a cross sectional study. Med & Health. 2014; 9:(1):33–43.
    [Google Scholar]
  5. Yoon SS, Byles J. Perceptions of stroke in the general public and patients with stroke: a qualitative study. BMJ. 2002; 324:(7345):1065.
    [Google Scholar]
  6. Arifin WN, Yusoff MSB. Item response theory for medical educationists. Education in Medicine Journal. 2017; 9:(3):69−71.
    [Google Scholar]
  7. Yusoff MSB. ABC of content validation and content validity index calculation. Education in Medicine Journal. 2019; 11:(2):49−54.
    [Google Scholar]
  8. Lynn MR. Determination and quantification of content validity. Nurs Res. 1986; 35:(6):382−386.
    [Google Scholar]
  9. Yusoff MSB. ABC of response process validation and face validity index calculation. Education in Medicine Journal. 2019; 11:(3):55−61.
    [Google Scholar]
  10. Marzuki MFM, Yaacob NA, Yaacob NM. Translation, cross-cultural adaptation, and validation of the Malay version of the system usability scale questionnaire for the assessment of mobile apps. JMIR Hum Factors. 2018; 5:(2):e10308.
    [Google Scholar]
  11. Streiner DL, Norman GR, Cairney J. Health measurement scales: a practical guide to their development and use. Oxford University Press, USA; 2015.
    [Google Scholar]
  12. Edelen MO, Reeve BB. Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement. Quality of life research. 2007; 16:(1):5.
    [Google Scholar]
  13. Zahiruddin WM, Arifin WN, Mohd-Nazri S, Sukeri S, Zawaha I, Bakar RA, et al. Development and validation of a new knowledge, attitude, belief and practice questionnaire on leptospirosis in Malaysia. BMC Public Health. 2018; 18:(1):331.
    [Google Scholar]
  14. Baker FB, Kim S-H. Item response theory: Parameter estimation techniques. CRC Press; 2004.
    [Google Scholar]
  15. Yang FM. Item response theory for measurement validity. Shanghai Arch Psychiatry. 2014; 26:(3):171.
    [Google Scholar]
  16. Rusch T, Mair P, Hatzinger R. Psychometrics with R: A review of CRAN packages for item response theory. 2013. (Discussion Paper Series/Center for Empirical Research Methods; 2013/2).
    [Google Scholar]
  17. Baker FB. The basics of item response theory. ERIC; 2001.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.5339/jemtac.2023.8
Loading
/content/journals/10.5339/jemtac.2023.8
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error