Preventable medical error continues to occur at an alarming rate within the United States healthcare system. These mistakes result in intolerable, egregious consequences for the patient, families, and the care team. A root cause analysis can provide a beneficial resolution for healthcare professionals and patients to understand further and combat medical errors and prevent future occurrences (Singh, Patel & Boster. 2022)
Per the Institute of Medicine, a medical error is "the failure of a planned action to be completed as intended or the use of a wrong plan to achieve an aim. Medical errors generally result from the improper execution of a plan or improper planning of a method of execution. Medical errors can also occur during preventative care measures, for example, if a provider overlooks a patient's allergy when administering medication.
Root cause analysis (RCA) is a retrospective process for identifying the causal factors underlying variations in performance. In the case of medical error, this variation in performance may result in a sentinel event. A standardized RCA process is mandated by the Joint Commission to identify the cause of medical errors and thus allow healthcare institutions to develop strategies to mitigate future errors. The emphasis of an RCA is placed heavily on system-level processes, not particular individuals' actions (Singh, Patel & Boster, 2022).
Failure to perform an RCA within 45 days of a sentinel event may result in the healthcare institution being placed on an 'accreditation watch,' which is public information. The framework used includes examining the systematic process, human factors, equipment malfunctions, environmental factors, uncontrollable external factors, organizational factors, staffing and qualifications, contingency plans, performance expectations, informational disruptions, communication, environmental risks, training, and technology. (Singh, Patel & Boster, 2022).
Failure Mode Effect Analysis (FMEA)
Failure mode effect analysis fosters safety and the prevention of accidents by prospectively identifying potential or real failures, causes, and effects. Failure mode effect analysis concludes errors will occur even if healthcare professionals are careful. Failure mode effect analysis engages in a continuous quality improvement process to assess and correct areas where an error is likely to occur. (Rodziewicz, Houseman & Hipskind 2022)
FMEA Process |
|
Steps | Explanation |
Select a process to analyze |
Choose a process that is known to be problematic in your facility or organization |
Designate team facilitators and team members. | Leadership should: • provide a project charter to launch the team. • designate a facilitator • select team members directly involved with the issue |
Describe the process | Clearly define the process steps so everyone on the team knows what is being analyzed. |
Identify what could go wrong in each stage of the process. | Directly affected team members should describe the components and issues of the problem. |
Initiate the process. | Focus on the most frequent or most impactful issues. |
Plan and implement process changes. | The team determines process changes to minimize risk and harm. |
Evaluate the effect of changes. | Recognize improvements and issues requiring more attention. |
A few of the most common types of medical errors include: medication errors, errors related to anesthesia, hospital-acquired infections, missed or delayed diagnosis, avoidable delay in treatment, inadequate follow-up after treatment, inadequate monitoring after a procedure, failure to act on test results, failure to take proper precautions, and errors of medical technique (Tariq, Vashisht, Sinha, et al. 2022).
The AHRQ, through its Patient Safety Initiative, has identified common root causes of medical errors. They grouped factors that contribute to medical errors into eight categories.
(8 common causes with adapted nursing perspective )
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References
Agency for Healthcare Research and Quality (AHRQ) (2021). Approach to improving patient safety: Communication. Patient Safety Network. From https://psnet.ahrq.gov/perspective/approach-improving-patient-safety-communication
Agency for Healthcare Research and Quality (AHRQ) (n.d.). Efforts to Reduce Medical Errors: AHRQ's Response to Senate Committee on Appropriations Questions. Accessed 4/21/2023, from https://archive.ahrq.gov/research/findings/final-reports/pscongrpt/psini2.html
American Society for Quality (ASQ) (n.d.). FIVE WHYS AND FIVE HOWS. https://asq.org/quality-resources/five-whys
Eaton, D.(2020) The importance of safe patient staffing for nurses and the benefit for grads. Wolters Kluwer. (n.d.). https://www.wolterskluwer.com/en/expert-insights/importance-of-safe-patient-staffing-for-nurses-and-benefit-for-grads
Kneck, Å., Flink, M., Frykholm, O., Kirsebom, M., & Ekstedt, M. (2019). The Information Flow in a Healthcare Organisation with Integrated Units. International journal of integrated care, 19(3), 20. https://doi.org/10.5334/ijic.4192
Lasater, K. B., Aiken, L. H., Sloane, D., French, R., Martin, B., Alexander, M., & McHugh, M. D. (2021). Patient outcomes and cost savings associated with hospital safe nurse staffing legislation: an observational study. BMJ open, 11(12), e052899. https://doi.org/10.1136/bmjopen-2021-052899
Singh G, Patel RH, Boster J. Root Cause Analysis and Medical Error Prevention. [Updated 2023 May 30]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2023 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK570638/
Vaismoradi, M., Tella, S., A Logan, P., Khakurel, J., & Vizcaya-Moreno, F. (2020). Nurses' Adherence to Patient Safety Principles: A Systematic Review. International journal of environmental research and public health, 17(6), 2028. https://doi.org/10.3390/ijerph17062028