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Development of an error classification system for Malaysian primary care

Worldwide, medical errors occur at an unacceptable rate. Fortunately, various steps can be taken to minimise medical errors, including submitting reports to incident reporting systems, following which incidents can be categorised using error classification systems to inform risk management strategie...

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Main Authors: Abd Raman, Nuur Asikin, Taib, Ibrahim Adham, Draman, Samsul
Format: Article
Language:English
Published: Human factors and Ergonomics Society Malaysia 2018
Subjects:
R Medicine (General)
TA166 Human engineering
Online Access:http://irep.iium.edu.my/70543/1/70543_Development%20of%20An%20Error%20Classification%20System.pdf
http://irep.iium.edu.my/70543/
http://hfej.hfem.org/wp-content/uploads/2018/12/HFEJ-7.pdf
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spelling my.iium.irep.705432019-07-12T08:27:32Z http://irep.iium.edu.my/70543/ Development of an error classification system for Malaysian primary care Abd Raman, Nuur Asikin Taib, Ibrahim Adham Draman, Samsul R Medicine (General) TA166 Human engineering Worldwide, medical errors occur at an unacceptable rate. Fortunately, various steps can be taken to minimise medical errors, including submitting reports to incident reporting systems, following which incidents can be categorised using error classification systems to inform risk management strategies. To this end, a diverse range of classification systems have been developed for different healthcare settings, but primary care in Malaysia has received limited attention. This study was carried out to develop an error classification system for categorising the type of medical errors in Malaysian primary care by integrating and modifying two primary care error classification systems. The new error classification system comprised of eleven major categories that branched into a total of 60 lower categories. After 107 participants analysed three cases studies, the inter-rater reliability of the 11 major categories were found to be low (Krippendorff‘s alpha = 0.347). Unsurprisingly, the 60 lower categories had an even lower inter-rater reliability (Krippendorff‘s alpha = 0.143). The participants then provided feedback about the error classification system by completing a modified questionnaire. Most of the participants viewed the error classification system as easy to use and understand. Furthermore, most of them would be willing to use the error classification system again in the future. In summary, this study successfully developed an error classification system for Malaysian primary care. Nevertheless, its low level of reliability would need to be addressed before the system can be adopted by primary care providers. Human factors and Ergonomics Society Malaysia 2018 Article PeerReviewed application/pdf en http://irep.iium.edu.my/70543/1/70543_Development%20of%20An%20Error%20Classification%20System.pdf Abd Raman, Nuur Asikin and Taib, Ibrahim Adham and Draman, Samsul (2018) Development of an error classification system for Malaysian primary care. Human Factors and Ergonomics Journal, 3 (2). pp. 35-43. http://hfej.hfem.org/wp-content/uploads/2018/12/HFEJ-7.pdf
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic R Medicine (General)
TA166 Human engineering
spellingShingle R Medicine (General)
TA166 Human engineering
Abd Raman, Nuur Asikin
Taib, Ibrahim Adham
Draman, Samsul
Development of an error classification system for Malaysian primary care
description Worldwide, medical errors occur at an unacceptable rate. Fortunately, various steps can be taken to minimise medical errors, including submitting reports to incident reporting systems, following which incidents can be categorised using error classification systems to inform risk management strategies. To this end, a diverse range of classification systems have been developed for different healthcare settings, but primary care in Malaysia has received limited attention. This study was carried out to develop an error classification system for categorising the type of medical errors in Malaysian primary care by integrating and modifying two primary care error classification systems. The new error classification system comprised of eleven major categories that branched into a total of 60 lower categories. After 107 participants analysed three cases studies, the inter-rater reliability of the 11 major categories were found to be low (Krippendorff‘s alpha = 0.347). Unsurprisingly, the 60 lower categories had an even lower inter-rater reliability (Krippendorff‘s alpha = 0.143). The participants then provided feedback about the error classification system by completing a modified questionnaire. Most of the participants viewed the error classification system as easy to use and understand. Furthermore, most of them would be willing to use the error classification system again in the future. In summary, this study successfully developed an error classification system for Malaysian primary care. Nevertheless, its low level of reliability would need to be addressed before the system can be adopted by primary care providers.
format Article
author Abd Raman, Nuur Asikin
Taib, Ibrahim Adham
Draman, Samsul
author_facet Abd Raman, Nuur Asikin
Taib, Ibrahim Adham
Draman, Samsul
author_sort Abd Raman, Nuur Asikin
title Development of an error classification system for Malaysian primary care
title_short Development of an error classification system for Malaysian primary care
title_full Development of an error classification system for Malaysian primary care
title_fullStr Development of an error classification system for Malaysian primary care
title_full_unstemmed Development of an error classification system for Malaysian primary care
title_sort development of an error classification system for malaysian primary care
publisher Human factors and Ergonomics Society Malaysia
publishDate 2018
url http://irep.iium.edu.my/70543/1/70543_Development%20of%20An%20Error%20Classification%20System.pdf
http://irep.iium.edu.my/70543/
http://hfej.hfem.org/wp-content/uploads/2018/12/HFEJ-7.pdf
_version_ 1643619917982859264
score 13.211869

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