Robustness of Supersaturated Design to Study the Causes of Medical Errors

Abstract

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.