Submit manuscript...
eISSN: 2469-2778

Hematology & Transfusion International Journal

Research Article Volume 5 Issue 3

Risk management in blood bank processes: quality applied in prevention of events

Alcorta N,1 Enrique P2

1Catedra de Calidad en Hemoterapia
2Concepción del Uruguay Centro Regional Rosario, Argentina

Correspondence: Alcorta N, Cátedra de Calidad en Hemoterapia, Universidad de Concepción del Uruguay Centro Regional Rosario, Rosario Provincia de Santa Fe, Argentina

Received: June 05, 2017 | Published: October 12, 2017

Citation: Alcorta N, Enrique P. Risk management in blood bank processes:quality applied in prevention of events. Hematol Transfus Int J. 2017;5(3):240-243. DOI: 10.15406/htij.2017.05.00119

Download PDF

Abstract

The risk management should be included in the planning to implement a quality management system in blood banks, given that it makes it possible to identify, characterize, and quantify the potential problems associated with the processes developed to classify them afterwards according to their importance and to elaborate an action plan for each of them. The aim of this work was to weight the use of this tool in process planning managements, being able to extend its use from the blood bank to the remainder of the area of expertise. A matrix of Failure Mode and Effects Analysis (FMEA) was produced from the impact or severity of the failure, the probability of occurrence, and the detection capacity.1 The information obtained from the analysis allowed the calculation of the Risk Priority Number (RPN) whose value indicates if the process is under control or if some measures must be incorporated to keep the process under control. The results obtained have demonstrated that knowing the Risk Priority Number of each activity in a planning stage favours the design of a preventive and corrective action plan in advance.

Keywords: risk management, risk priority number, action plan, potential risk, FMEA

Introduction

When reporting on the state of the art2 it can be noticed that the word risk in the bibliography referring to transfusion medicine only is associated with facilities, work environment, biosafety and catastrophe management.3 The technical manual of the American Association of Blood Banks3 mentions that "A quality management system includes the organizational structure, responsibilities, policies, processes, procedures and resources established by executive management to achieve and maintain quality". In this respect, the Royal Spanish Academy defines risk as the contingency or proximity of an injury and associates it with different situations or areas assigning a different meaning according to the concept used. For example “Operational risk: risk that a company suffers from the possibility of failures in its own operation”.4

ISO 31000: 20095 mentions that risk is "an effect of uncertainty on the achievement of goals." It is therefore convenient to point out that when mentioning the risk in processes in this article allusions are made to all those situations, behaviours, activities or contingencies that by their nature may cause a process to fail to meet the objective for which it was designed and implemented, or partially do so. That is, in a blood bank can be found risks of not complying with current legislation, not meeting established quality requirements, health risks of staff, etc.

ISO 9001: 20156 in chapter 6 refers to planning that a quality management system must address risks and opportunities to prevent or reduce undesirable effects. It also refers to the fact that actions planned to address such risks must be proportional to the potential impact. The purpose of making an AMFE is to identify the causes attributable to each risk to reduce or eliminate them and ensure the quality of the final product of each process.1 According to the IPR obtained in each case the actions can cover a range of opportunities, from the implementation of a second operator that controls the process to the reengineering of the same. Identifying potential risks allows designing action plans that require immediate implementation measures, in the short or medium term; ie the head of the blood bank as well as the quality manager from the use of this tool, can know the critical and non-critical points of their processes and can allocate resources early to prevent unwanted effects. The general objective is: To know the potential risks associated with blood bank processes for the design of a control plan that ensures the quality of the final product.

And as specific objectives

  1. Identify the risks of each activity and quantify them.
  2. Analyze the causes associated with identified risks.
  3. Design a plan of recommended action actions for each risk.

Materials and methods

Design

It was necessary to clearly define the terms risk and potential failure. The scales of severity, occurrence and detectability. These last three were extracted from the standards QS 9000 / ISO TS 169497 which, while applicable to the automotive industry, may apply to any process (Tables 1-3). To perform this work, the following procedures were established: admission and registration of blood donors, personal interview, clinical control, donor blood collection, autoexclusion, production of blood components, biological qualification and distribution of blood components. Flowcharts 10 of each were made as starting points so that all the risks were represented and a matrix was made assigning a number (from 1 and in ascending consecutive order) to the activities that form part of each process (Table 4).

Index

Effect

Severity of the Effect in the Process

-10

Affects safety and legislation

Risk of survival of human life, community and environment.

-9

It compromises performance by 75% and no recovery possible. Damage to any type and level to people.

-8

Critical

It compromises performance by 70% and no recovery possible. Requires direct management actions. Full customer dissatisfaction with return/refuse of the product. Serious impact on the process.

-7

Important

Performance impacted up to 50%. Ask for leadership-led actions. Formal customer dissatisfaction in the acquisition of the product. Impact important in the process or in the delivery of products.

-6

Significant

Impact on performance up to 25%. Ask for shares released by management. Customer dissatisfaction with regular channel claims. Slight impact on process or delivery of products.

-5

Impact on performance up to 25%. Ask for immediate action. There are no complaints or customer dissatisfaction. Slight impact on the process or delivery of products.

-4

Moderate

Impact on performance of 10%, considering the feasibility of taking actions. Interested parties with complaints if there are questions. Slight impact on process or delivery of products.

-3

Less

Impact on performance of 10%, considering the feasibility of taking actions. Interested parties do not complain. No impact on the process or delivery of products.

-2

Minimum

Mild inconvenience to the process. No impact on the performance of the indicator

-1

Any

Without perception of the effect on the performance of the process or by the parties interested

Table 1 Degrees of severity8,9

Index

Occurrence

Probability of the Mode or Event of Risk

-10

Very high

>1 in 10

Will happen

-9

1 in 20

-8

High

1 in 50

Will probably happen

-7

1 in 100

-6

Moderate

1 in 500

It may or may not happen

-5

1 in 2.000

-4

Baja

1 in 10.000

It probably will not happen

-3

1 in 100.000

-2

Very low

1 in 1.000.000

It will not happen

-1

Impossible

Table 2 Degree of occurrence8,9

Index

Detection

Probability of Detection

-10

Almost impossible

There is no viable detection method

-9

Very remote

There is no way to detect with reaction time

-8

Remote

Detection method is not reliable

-7

Very low

Detection method is not effective

-6

Low

Detection method with low efficacy

-5

Moderate

Method of detection with average effectiveness

-4

high

Detection method with high efficiency

-3

Very high

Method of detection effective and in time of reaction

-2

Almost guaranteed

Automatic detection and maybe in time

-1

Guaranteed

Automatic detection and reaction time

Table 3 Degree of detection8,9

Analysis of Modes of Potential Failures and their Effects (AMFE)

Process:

Product:

Date/Revision:

Involved areas:

Staff Involved

Number of activities:

Activity

Potential Failure Mode (Risk)

Potential Effect of Failure

Gravity

Cause(s) Potential(s) of the fault(s)

Idea

Control(s)
Existing(s)

Detection

IPR

Recommended actions

Responsible/Deadlines

Results of actions

Taken actions

G

O

D

IPR

1-Identification

2-Analysis

3-Treatment

4-Monitoring

Table 4 Matrix to prepare the AMFE.

Environment

The work was done from the chair of Quality in Hemotherapy of the complementary cycle of the Degree in Hemotherapy and Immunohematology.

Interventions

The matrices corresponding to each process mentioned with the activities in the same order as in the flow charts (PAHO, 2005) were completed, each activity analyzed

  1. The potential risks presented and what their effects or consequences were for assign them a number that represents the degree of severity or severity (1 to 10-10 being the most severe).
  2. The potential causes of the above mentioned risks were then analyzed to assign a number representing the degree of occurrence of the event (1 to 10-10 being the least occurring).
  3. It was determined what type of controls was routinely performed on that activity to assign a number representing the degree of detectability (1 to 10 being 10 undetectable).

Once these three (3) data were obtained, the Risk Priority Index was calculated by applying the following formula:

IPR = Gravity (G) * Occurrence (O) * detectability (D)

IPR values were established by consensus limits for each implementation period

Corrective actions

Immediate actions: IPR> 100
Short-term Shares: 70 <IPR <100
Medium-term actions: IPR <70
Although in ISO 31000 standards

Results

From the results obtained, we compare the highest IPRs in Table 5 with those with the lowest IPRs in Table 6, since in both we find the most significant data.

Process

Risks

Severity (G)

Occurrence (O)

Detection (D)

IPR G*O*D

Blood donation

Admission of donor in period window

9

3

4

108

Incorrect venipuncture site asepsis

9

6

4

216

Donor does not manifest self-exclusion decision

7

6

4

168

Donor does not understand self-exclusion

8

3

10

240

Production of blood components

System open by poorly closed tubing

9

3

4

108

Centrifugal malfunction

9

4

3

108

Biological classification of blood components

Improper operation of the label printer

8

7

2

112

Poor label glue

8

4

4

128

Equipment malfunction

9

4

3

108

Table 5 IPR values greater than 100

Process

Risks

Severity (G)

Occurrence (O)

Detection (D)

IPR G*O*D

Blood donation

Ambient air in the exhaust bag before piping.

9

2

2

36

Opening of system by badly closed pipe

9

2

1

18

Blood splatter

9

2

1

18

Adverse reaction

8

8

1

64

Puncture-sharp accident

9

2

1

18

Defrosting (Plasma)

9

2

2

36

Biological classification of blood components

Exchange of labels between two blood components

10

3

2

60

Discarded blood component error

8

2

2

32

Do not discard all the blood components produced

10

2

2

40

Table 6 IPR values less than 80

Discussion

In identifying the risks of each activity and quantifying them, as proposed in the specific objectives can be observed the following situations:

In Table 6 the IPR results are lower than 70 even in severity is maximal (10) so they do not require immediate action and is due to the occurrence and detection have low values. This can be an indicator of a activity that is under control and is effective. With these parameters the actions to be taken do not urgently as they could be implemented in the medium term. Table 5 shows high IPRs due to human factor errors and equipment problems, giving a guideline where improvement and prevention actions should be focused. For both cases, the causes associated with these activities are non-compliance with standard operating procedure manuals, omission of blood donor selection criteria by interviewers, insufficient or unclear explanation of the post-donation self-exclusion process, absence of plan maintenance of critical equipment and acquisition of inputs or services without advice from the quality area of ​​the blood bank. In the case of adverse reactions to the donation one can mention as one of the causes a state of anxiety of the donor originated by several reasons.

With the information relayed in this work and in another instance it would be advisable to carry out a causal analysis using a Pareto diagram and an Ishikawa diagram for make a more detailed plan of improvements, but with this data can be designed a preventive control plan based on: planning staff training, checking the compliance with standard operating procedures, modification of preventive maintenance planning of equipment and incorporation into the procurement process of a technical report of products and/or services to be procured. The improvement plan should include the measures to be taken, the implementation deadlines and those responsible for each process.11

Conclusion

The analysis of the work done and the results obtained give an indication of the importance of detecting in time the weak points of each process to carry out an efficient planning. The use of this tool can prevent many serious errors that compromise both the health of the blood bank staff and the patients receiving the transfusions. The implementation and maintenance of a process risk management allows, among other things, a company or in this case a blood bank (Argentine Standard IRAM-ISO 31000):5

  1. Increase the probability of achieving the proposed objectives.
  2. Become aware of the need to identify and address risks.
  3. Identify opportunities and threats
  4. Incorporate and/or improve controls in each area.
  5. Manage resources

This management as the guarantee of its effectiveness requires a great commitment from the management or management of the blood bank, which must be firm and sustained, to ensure that the culture of the organization is aligned with established policies.

Acknowledgements

None.

Conflict of interest

The author declares no conflict of interest.

References

Creative Commons Attribution License

©2017 Alcorta, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.