Failure Modes and Effects Analysis: Minimizing Harm to Our Bariatric Patients

Cheung, Dickson; Maygers, Joyce; Khouri-Stevens, Zeina; Grouchy, Lisa De; Magnuson, Thomas

doi:10.1089/bar.2006.1.107

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…In the published literature, there are no standard rules regarding the number of failures that should be focused on. Previous studies have chosen to address failures with the highest 5 RPN, 2,14 the highest 6 RPN, 15 or even their highest 30 RPN scores. 16 Other studies have addressed failures with an RPN greater than the mean, 17 whereas others have specified a cutoff point for RPN at which any failures with an RPN higher than the cutoff point would be addressed.…”

Section: Discussionmentioning

confidence: 99%

Is Failure Mode and Effect Analysis Reliable?

Shebl¹,

Franklin²,

Barber³

2009

Journal of Patient Safety

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Failure mode and effect analysis is a useful tool to aid multidisciplinary groups in understanding a process of care and identifying errors that may occur. However, the results of this study call into question the reliability of the FMEA process that was tested. The 2 groups identified similar steps in the process of care but different potential failures with very different risk priority numbers. Such discrepancies make it impossible to identify reliably those failures that should be prioritized and thus where money, time, and effort should be allocated to avoid these failures. Health care organizations should not solely depend on FMEA findings to improve patient safety.

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Section: Discussionmentioning

confidence: 99%

Is Failure Mode and Effect Analysis Reliable?

Shebl¹,

Franklin²,

Barber³

2009

Journal of Patient Safety

View full text Add to dashboard Cite

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The relationship between patient obesity and nursing workload: An integrative review

Huang

Cheng

Duffield

et al. 2021

Journal of Clinical Nursing

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Aims and objectives:To explore the relationship between patient obesity and nursing workload, and discuss the nursing activities most affected by patient obesity. Background:The increasing number of patients with obesity, and the severity of obesity, impacts the healthcare workforce, particularly to nurses who provide most direct care to patients. There is growing evidence to suggest that patient obesity may increase nursing workload and time taken for clinical care. Design: Integrative review.Methods: A comprehensive search of academic databases for primary research related to patient obesity and nursing workload, published since 2000, was conducted.References of relevant articles were hand-searched.Results: 27 articles were analysed. Analysis was undertaken at the levels of patient characteristics, nursing work and the healthcare system. The increasing number of patients with obesity, and the severity of patient obesity, increases nursing workload by affecting nursing time needed to deliver care. An increased number of nurses, particularly with increased clinical skill, are needed to deliver care meeting these increased needs. Organisational change is required to provide infrastructure and bariatric equipment that enables effective nursing care of patients with obesity.Organisations must consider additional time and staff needs when delivering care for patients with obesity. Conclusions:The current health system is not established to address the challenge of providing nursing care to the increasing numbers of patients with obesity. Further research on accurately and objectively quantifying the impact and severity of patient obesity on nursing clinical activities is required.Relevance to clinical practice: When determining staffing, healthcare organisations must consider the increased nursing staff, time and clinical skill required to provide care for patients with obesity. Healthcare organisations should implement policies that ensure sufficient staffing in areas where care of patients with obesity is prevalent, and provide training for and workplace availability of bariatric equipment.

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Failure mode and effects analysis: too little for too much?

Franklin

Shebl²,

Barber

2012

BMJ Qual Saf

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Failure mode and effects analysis (FMEA) is a structured prospective risk assessment method that is widely used within healthcare. FMEA involves a multidisciplinary team mapping out a high-risk process of care, identifying the failures that can occur, and then characterising each of these in terms of probability of occurrence, severity of effects and detectability, to give a risk priority number used to identify failures most in need of attention. One might assume that such a widely used tool would have an established evidence base. This paper considers whether or not this is the case, examining the evidence for the reliability and validity of its outputs, the mathematical principles behind the calculation of a risk prioirty number, and variation in how it is used in practice. We also consider the likely advantages of this approach, together with the disadvantages in terms of the healthcare professionals' time involved. We conclude that although FMEA is popular and many published studies have reported its use within healthcare, there is little evidence to support its use for the quantitative prioritisation of process failures. It lacks both reliability and validity, and is very time consuming. We would not recommend its use as a quantitative technique to prioritise, promote or study patient safety interventions. However, the stage of FMEA involving multidisciplinary mapping process seems valuable and work is now needed to identify the best way of converting this into plans for action.

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Failure Modes and Effects Analysis: Minimizing Harm to Our Bariatric Patients

Cited by 4 publications

References 7 publications

Is Failure Mode and Effect Analysis Reliable?

Is Failure Mode and Effect Analysis Reliable?

The relationship between patient obesity and nursing workload: An integrative review

Failure mode and effects analysis: too little for too much?

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