Root-cause analysis often refers to a systematic approach aimed at identifying the initial causative agent “root cause” of a given medical problem and possible approaches towards providing an amicable solution to the problem. The root cause analysis can make emphasis on established approaches, used tools, and techniques established to reveal the cause of the problem. Different root analyses often function uniquely towards problem-solving, some of the approaches are more inclined towards identifying true root causes than other approaches, some are more inclined towards general problem-solving techniques while others simply work by offering support to the main process of cause analysis. For instance, an approach based not only on reducing the medical administration errors but finding a solution to address the cause of administration errors.
The root cause analysis of increased medical costs and deaths following medical negligence and errors in medical administration was conducted at a health facility. The paper illustrates and discusses the causes and impact of medication administration errors on patient health and the use of evidence-based strategies towards reducing medical errors and deaths among patients. Equally determining safety improvement plan based on utilization of existing organizational resources to address the challenges of medication administration errors (Dolansky, et al., 2013).
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Root cause analysis of medical administration error
Patient safety and care have been the major concern in society and policymaking. The nurses are among the health care personnel affected by the impacts of medication errors since they are mostly in charge of administration and monitoring patient conditions following medication. According to studies done in the United States, approximately 251,000 patients die annually following medical administration errors. Medical administration errors have been known to predispose patients, family members, and clinicians to a disability, huge losses, lawsuits, and deaths. The root cause analysis offers to provide sufficient data and analysis geared towards possible solutions for the health care professionals and patients towards understanding and fighting medical administration errors hence preventing future occurrence of disability and deaths (Hydari, Telang, & Marella, 2019).
The various concern on the medical administration errors came into light during 1999 publication by the Institute of medicines report and the news coverage on individuals injured as a result of adverse drug reactions. Public awareness of medical errors has also been credited by the joint commission on accreditation of health care as a causative agent of increased costs and reduce the confidence of the public on health issues. The majority of patient injuries resulting from drug therapies form the largest percentage of the errors. The most affected people are the nurses and patients since they are in charge of drug administration and patient care (Glavin, 2010).
Root cause analysis refers to the process of identifying the causal factors that govern variations towards health performance. The variation in the medical error is likely to cause sentinel events. The root cause analysis is required to identify the cause of the medical error and develop various strategies in place to prevent future occurrences of the same.
The majority of the medical administration error is attributed to several factors and occurs in any medical facility such as the hospital, clinics, medical office, nursing home, pharmacy, patient home, and surgery centers among other places where patient health is involved. The medical errors are involved in these places and my highly be distinguishes and possible solution identified towards the problem.
The most common cause of medication administration errors results from medical personnel or equipment used inpatient treatment. A study conducted by the backer demonstrated, one of every five administered doses resulted in an error. Wrong time accounted for 43%, omission 30%, wrong dosage 17%, and others 10 % of the errors. Incidence of the medication errors varied depending on the stage of dispensing and the individual study was classified as wrong time, wrong dosage, and omission. 70% of the cases are related to prescribing errors, 10% administration errors, 10% documentation errors, 7% errors relating to dispensing of medicines, and 3% patient monitoring errors after medication administration. Learning how to identify, prevent and monitor medical administration structure is critical in changing standards of health care to reduce attributes of medica
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