Robustness of Supersaturated Design to Study the Causes of Medical Errors

Background. In the modern contemporary, there are obvious demands for accurate interpretations of the worldwide problem, which is medication errors (MEs) due to various serious negative events that effect patient health. Most parts of the world considered health as significant issue for centuries. R...

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Autores principales:	Alanazi Talal Abdulrahman, Abdalwahab Omar Alshammari, Anas Alhur, Afrah Ali Alhur
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/63e981d7a2024812af54ce92c64e729a
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spelling	oai:doaj.org-article:63e981d7a2024812af54ce92c64e729a2021-11-29T00:56:53ZRobustness of Supersaturated Design to Study the Causes of Medical Errors1563-514710.1155/2021/9682345https://doaj.org/article/63e981d7a2024812af54ce92c64e729a2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9682345https://doaj.org/toc/1563-5147Background. In the modern contemporary, there are obvious demands for accurate interpretations of the worldwide problem, which is medication errors (MEs) due to various serious negative events that effect patient health. Most parts of the world considered health as significant issue for centuries. Recently, investigators have examined the effects of writing physician orders from the nurse’s viewpoint and represent that 100% of ambiguous writing of doctor orders related directly to MEs. Objective. The aim of our work is to investigate the major causes of (MEs) in the Saudi Arabia population from multiple aspects. Methods. An online review gave quantitative information from 450 members. Respondents were heedlessly parceled into two conditions (Yes+, No−) and mentioned to respond to one of two plans of the explanations behind the medical errors. Fourteen determining factors in the predesign have been chosen. Entire data were collected relevant to the study purpose and the content of the questionnaire written suitably to the participants with no ambiguous terms to analyze obtained data accurately using supersaturated plans and regression methods utilizing the SPSS program to decide the real causes of the medical errors. Results. The findings indicated that often failures in the care process can be traced back to poor documentation and a lack or inadequacy of procedures; the limitations of integrated health systems between the doctor and pharmacists, human problems when standards of care, policies, processes, or procedures are not properly or effectively followed, inadequate use of technology in healthcare facilities, and unclear line of prescription from the doctor are factors that contributed to the medical errors. Conclusion. The Saudi Arabian government needs to foster a functional arrangement to examine these reasons for medical errors and make a move. Future investigations could break down the information utilizing edge plans technique.Alanazi Talal AbdulrahmanAbdalwahab Omar AlshammariAnas AlhurAfrah Ali AlhurHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Alanazi Talal Abdulrahman Abdalwahab Omar Alshammari Anas Alhur Afrah Ali Alhur Robustness of Supersaturated Design to Study the Causes of Medical Errors
description	Background. In the modern contemporary, there are obvious demands for accurate interpretations of the worldwide problem, which is medication errors (MEs) due to various serious negative events that effect patient health. Most parts of the world considered health as significant issue for centuries. Recently, investigators have examined the effects of writing physician orders from the nurse’s viewpoint and represent that 100% of ambiguous writing of doctor orders related directly to MEs. Objective. The aim of our work is to investigate the major causes of (MEs) in the Saudi Arabia population from multiple aspects. Methods. An online review gave quantitative information from 450 members. Respondents were heedlessly parceled into two conditions (Yes+, No−) and mentioned to respond to one of two plans of the explanations behind the medical errors. Fourteen determining factors in the predesign have been chosen. Entire data were collected relevant to the study purpose and the content of the questionnaire written suitably to the participants with no ambiguous terms to analyze obtained data accurately using supersaturated plans and regression methods utilizing the SPSS program to decide the real causes of the medical errors. Results. The findings indicated that often failures in the care process can be traced back to poor documentation and a lack or inadequacy of procedures; the limitations of integrated health systems between the doctor and pharmacists, human problems when standards of care, policies, processes, or procedures are not properly or effectively followed, inadequate use of technology in healthcare facilities, and unclear line of prescription from the doctor are factors that contributed to the medical errors. Conclusion. The Saudi Arabian government needs to foster a functional arrangement to examine these reasons for medical errors and make a move. Future investigations could break down the information utilizing edge plans technique.
format	article
author	Alanazi Talal Abdulrahman Abdalwahab Omar Alshammari Anas Alhur Afrah Ali Alhur
author_facet	Alanazi Talal Abdulrahman Abdalwahab Omar Alshammari Anas Alhur Afrah Ali Alhur
author_sort	Alanazi Talal Abdulrahman
title	Robustness of Supersaturated Design to Study the Causes of Medical Errors
title_short	Robustness of Supersaturated Design to Study the Causes of Medical Errors
title_full	Robustness of Supersaturated Design to Study the Causes of Medical Errors
title_fullStr	Robustness of Supersaturated Design to Study the Causes of Medical Errors
title_full_unstemmed	Robustness of Supersaturated Design to Study the Causes of Medical Errors
title_sort	robustness of supersaturated design to study the causes of medical errors
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/63e981d7a2024812af54ce92c64e729a
work_keys_str_mv	AT alanazitalalabdulrahman robustnessofsupersaturateddesigntostudythecausesofmedicalerrors AT abdalwahabomaralshammari robustnessofsupersaturateddesigntostudythecausesofmedicalerrors AT anasalhur robustnessofsupersaturateddesigntostudythecausesofmedicalerrors AT afrahalialhur robustnessofsupersaturateddesigntostudythecausesofmedicalerrors
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Robustness of Supersaturated Design to Study the Causes of Medical Errors

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