The reliability of an error classification system developed for use by the International Islamic University Malaysia Primary Care Clinic

Primary care is often the entry point for patients in a healthcare system. The literature, however suggests that primary care is not as safe as it should be due to medical errors. Because no error classification has been developed for preventing medical errors in Malaysian primary care clinics. Thus...

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Main Authors:	Abd Raman, Nuur Asikin, Draman, Samsul, Adham Taib, Mohd Ibrahim
Format:	Conference or Workshop Item
Language:	English English
Published:	International Islamic University Malaysia (IIUM) 2016
Subjects:	QH Natural history R Medicine (General)
Online Access:	http://irep.iium.edu.my/53628/ http://irep.iium.edu.my/53628/1/IMMJ%20SUPP%20ISSUE%2015.pdf http://irep.iium.edu.my/53628/2/MRS2016-ABSTRACT-BOOK-31.pdf

id	iium-53628
recordtype	eprints
spelling	iium-536282017-01-01T04:51:08Z http://irep.iium.edu.my/53628/ The reliability of an error classification system developed for use by the International Islamic University Malaysia Primary Care Clinic Abd Raman, Nuur Asikin Draman, Samsul Adham Taib, Mohd Ibrahim QH Natural history R Medicine (General) Primary care is often the entry point for patients in a healthcare system. The literature, however suggests that primary care is not as safe as it should be due to medical errors. Because no error classification has been developed for preventing medical errors in Malaysian primary care clinics. Thus, this study aimed to develop an error classification system for use in the International Islamic University Malaysia Primary Care Clinic (IIUMPC) before assessing its reliability and acceptability to potential users. Methods: An error classification system for primary care was developed by merging four existing error classification systems. This cross-sectional study, then recruited 107 healthcare students as participants. Each student had to read 3 case studies on medical errors in primary care before classifying each case using the newly developed error classification system. The students then had to fill in a questionnaire to provide feedback about the classification system. The inter-rater reliability was then compared using Krippendorff's alpha. Results: Krippendorff’s alpha coefficient computed for Case I was 0.358, Case II was 0.369, while Case III was 0.314. The mean Krippendorff’s alpha coefficient for all three cases was 0.347. 72% of participants indicated their willingness to use the classification system in the future, citing ease of use (48%) among others. Conclusions: Although a new error classification system was successfully developed for use in the IIUMPC, the level of agreement between classifiers was considered low. Nevertheless, the positive responses by the participants warrant the classifications system's improvement. International Islamic University Malaysia (IIUM) 2016-11-10 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/53628/1/IMMJ%20SUPP%20ISSUE%2015.pdf application/pdf en http://irep.iium.edu.my/53628/2/MRS2016-ABSTRACT-BOOK-31.pdf Abd Raman, Nuur Asikin and Draman, Samsul and Adham Taib, Mohd Ibrahim (2016) The reliability of an error classification system developed for use by the International Islamic University Malaysia Primary Care Clinic. In: Medical Research Symposium & Pacific Partnership in conjunction with Kuantan Research Day 2016, 3-5 Aug 2016, Kuantan.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QH Natural history R Medicine (General)
spellingShingle	QH Natural history R Medicine (General) Abd Raman, Nuur Asikin Draman, Samsul Adham Taib, Mohd Ibrahim The reliability of an error classification system developed for use by the International Islamic University Malaysia Primary Care Clinic
description	Primary care is often the entry point for patients in a healthcare system. The literature, however suggests that primary care is not as safe as it should be due to medical errors. Because no error classification has been developed for preventing medical errors in Malaysian primary care clinics. Thus, this study aimed to develop an error classification system for use in the International Islamic University Malaysia Primary Care Clinic (IIUMPC) before assessing its reliability and acceptability to potential users. Methods: An error classification system for primary care was developed by merging four existing error classification systems. This cross-sectional study, then recruited 107 healthcare students as participants. Each student had to read 3 case studies on medical errors in primary care before classifying each case using the newly developed error classification system. The students then had to fill in a questionnaire to provide feedback about the classification system. The inter-rater reliability was then compared using Krippendorff's alpha. Results: Krippendorff’s alpha coefficient computed for Case I was 0.358, Case II was 0.369, while Case III was 0.314. The mean Krippendorff’s alpha coefficient for all three cases was 0.347. 72% of participants indicated their willingness to use the classification system in the future, citing ease of use (48%) among others. Conclusions: Although a new error classification system was successfully developed for use in the IIUMPC, the level of agreement between classifiers was considered low. Nevertheless, the positive responses by the participants warrant the classifications system's improvement.
format	Conference or Workshop Item
author	Abd Raman, Nuur Asikin Draman, Samsul Adham Taib, Mohd Ibrahim
author_facet	Abd Raman, Nuur Asikin Draman, Samsul Adham Taib, Mohd Ibrahim
author_sort	Abd Raman, Nuur Asikin
title	The reliability of an error classification system developed for use by the International Islamic University Malaysia Primary Care Clinic
title_short	The reliability of an error classification system developed for use by the International Islamic University Malaysia Primary Care Clinic
title_full	The reliability of an error classification system developed for use by the International Islamic University Malaysia Primary Care Clinic
title_fullStr	The reliability of an error classification system developed for use by the International Islamic University Malaysia Primary Care Clinic
title_full_unstemmed	The reliability of an error classification system developed for use by the International Islamic University Malaysia Primary Care Clinic
title_sort	reliability of an error classification system developed for use by the international islamic university malaysia primary care clinic
publisher	International Islamic University Malaysia (IIUM)
publishDate	2016
url	http://irep.iium.edu.my/53628/ http://irep.iium.edu.my/53628/1/IMMJ%20SUPP%20ISSUE%2015.pdf http://irep.iium.edu.my/53628/2/MRS2016-ABSTRACT-BOOK-31.pdf
first_indexed	2023-09-18T21:15:51Z
last_indexed	2023-09-18T21:15:51Z
_version_	1777411557430394880

The reliability of an error classification system developed for use by the International Islamic University Malaysia Primary Care Clinic

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