| Title |
Preventing blood transfusion failures: FMEA, an effective assessment method
|
|---|---|
| Published in |
BMC Health Services Research, June 2017
|
| DOI | 10.1186/s12913-017-2380-3 |
| Pubmed ID | |
| Authors |
Zhila Najafpour, Mojtaba Hasoumi, Faranak Behzadi, Efat Mohamadi, Mohamadreza Jafary, Morteza Saeedi |
| Abstract |
Failure Mode and Effect Analysis (FMEA) is a method used to assess the risk of failures and harms to patients during the medical process and to identify the associated clinical issues. The aim of this study was to conduct an assessment of blood transfusion process in a teaching general hospital, using FMEA as the method. A structured FMEA was recruited in our study performed in 2014, and corrective actions were implemented and re-evaluated after 6 months. Sixteen 2-h sessions were held to perform FMEA in the blood transfusion process, including five steps: establishing the context, selecting team members, analysis of the processes, hazard analysis, and developing a risk reduction protocol for blood transfusion. Failure modes with the highest risk priority numbers (RPNs) were identified. The overall RPN scores ranged from 5 to 100 among which, four failure modes were associated with RPNs over 75. The data analysis indicated that failures with the highest RPNs were: labelling (RPN: 100), transfusion of blood or the component (RPN: 100), patient identification (RPN: 80) and sampling (RPN: 75). The results demonstrated that mis-transfusion of blood or blood component is the most important error, which can lead to serious morbidity or mortality. Provision of training to the personnel on blood transfusion, knowledge raising on hazards and appropriate preventative measures, as well as developing standard safety guidelines are essential, and must be implemented during all steps of blood and blood component transfusion. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 137 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 27 | 20% |
| Student > Master | 20 | 15% |
| Researcher | 7 | 5% |
| Other | 6 | 4% |
| Student > Doctoral Student | 4 | 3% |
| Other | 14 | 10% |
| Unknown | 59 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 29 | 21% |
| Medicine and Dentistry | 20 | 15% |
| Engineering | 7 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
| Unspecified | 3 | 2% |
| Other | 10 | 7% |
| Unknown | 64 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 September 2017.
All research outputs
#17,445,713
of 25,597,324 outputs
Outputs from BMC Health Services Research
#6,417
of 8,713 outputs
Outputs of similar age
#210,185
of 327,975 outputs
Outputs of similar age from BMC Health Services Research
#119
of 143 outputs
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