1
Introduction Dr Kerry Gunn 1 , Dr Chang Kim 1 , Dr Richard Charlewood 2 , Jean Wignall 3 , Debashish Biswas 1 , 1 Auckland District Health Board, New Zealand, 2 New Zealand Blood Service and 3 Waitemata District Health Board, New Zealand The last known Maximum Surgical Blood Ordering Schedule (MSBOS) for use at the Auckland City Hospital was developed in the late 1980s. Since then transfusion practice has changed considerably making some of those assumptions irrelevant. A project was initiated in 2013 to put into place an updated elective MSBOS to create an evidence-based institution specific MSBOS to understand our current transfusion rates and identify the number of unnecessary group and holds (G&H) that were taking place in the organisation. The project was launched under the existing Blood is a Gift – Blood Management programme that has been running within Auckland City Hospital and Greenlane Clinical Centre since 2008. The aim of the project was to attain the following objectives: Create an MSBOS for elective surgical procedures which was derived from local transfusion data Identify the number of unnecessary G&H performed for elective surgical procedures The analysis highlighted a potential 37% reduction in current number of Group and Holds being done at Auckland City Hospital and Greenlane hospital, with economic benefit from implementation being approx. $97,320 per annum or a saving of $292,185 over 3 years. The MSBOS has been approved in principle by the hospital surgical board and is being discussed with various departments to gather feedback post which any changes will be made and it will be implemented. Further improvements in G & H ordering in acute surgical patients will follow. Methods Data was extracted and then analysed from three systems via the data warehouse. These were the Case management system (CMS), Patient information management system (PIMS) and data from the New Zealand blood service (NZBS). Data for three years was analysed from July 2011 –June 2014 for all adult patients having elective surgical procedures with an overall 55,198 procedures being included in the analysis. Data for paediatric patients, obstetric presenting for Caesarean section and acute surgeries (including return to OT post-elective procedures) was excluded from the analysis. The procedures were categorised into 11 surgical specialties and 102 procedures based on ICD-10 coding system. The ICD-10 codes were then given a grade 1-3 (1 = major; 3 = minor) and where there was a case with multiple procedures, the procedure with highest grading was used for analysis. Results The analysis showed that in the time period for which data was analysed. 80.7% patients had procedures met criteria for the “no G&H” and 19.3% met criteria for “G&H”. 6,235 G&H were done unnecessarily, 344 patients did not have G&H when they were required. Conclusion MSBOS Recommendation No. of Patients Had G&H No G&H Transfusion Rates % Transfusion Index No G&H 44,520 6,235 38,285 0.24% 0.005 G&H 10,678 10,334 344 49% 0.49 Total 55,198 16,569 38,629 3.8% 0.098 References Frank, S. M., et al. (2013). "Optimizing preoperative blood ordering with data acquired from an anesthesia information management system." Anesthesiology 118(6): 1286-1297. High level summary Establishing a maximum surgical blood ordering schedule (MSBOS) for elective surgeries For each procedure category, the following fields were captured, Number of patients who had or not had a group and hold Number of patients who had RBC transfusion Number of RBC units transfused High risk of bleeding (yes/no) The following fields were also calculated Transfusion rate Transfusion index (Total RBC units / total number of pts.) >4 units RBC transfused in >10% patients Feedback from surgical and anaesthesia groups to set parameters of operations where blood must be available immediately despite low transfusion risk Cost benefit analysis was done with tests costs NZD $45 only and excluded maintenance of equipment and personnel costs. A rules based flowchart (right) was developed based on local factors and referenced to the algorithm developed by (Frank, Rothschild et al. 2013) Aim % Transfused <5 and Transfusion Index <0.3 and Risk of major bleeding = ‘No’ % Transfused ≥ 5 and Transfusion Index ≥ 0.3 Risk of major bleeding =‘yes’ or No group and hold to be done Antibody +ve? ≥4 units RBC in 10% patients? Major vascular and transplants Group and hold to be done Group and hold to be done Crossmatch 2 units Crossmatch 2 units Crossmatch 6-15 units Yes No No No Yes Estimated cost benefits by speciality Transfusion ratios by speciality

Establishing a maximum surgical blood ordering schedule … · Introduction Dr Kerry Gunn1,Dr Chang Kim1, Dr Richard Charlewood2, Jean Wignall3, Debashish Biswas1, 1 Auckland District

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Page 1: Establishing a maximum surgical blood ordering schedule … · Introduction Dr Kerry Gunn1,Dr Chang Kim1, Dr Richard Charlewood2, Jean Wignall3, Debashish Biswas1, 1 Auckland District

Introduction

Dr Kerry Gunn1, Dr Chang Kim1, Dr Richard Charlewood2, Jean Wignall3, Debashish Biswas1, 1 Auckland District Health Board, New Zealand, 2New Zealand Blood Service and 3Waitemata District Health Board, New Zealand

The last known Maximum Surgical Blood Ordering Schedule (MSBOS) for use at the Auckland City Hospital was developed in the late 1980s. Since then transfusion practice has changed considerably making some of those assumptions irrelevant.

A project was initiated in 2013 to put into place an updated elective MSBOS to create an evidence-based institution specific MSBOS to understand our current transfusion rates and identify the number of unnecessary group and holds (G&H) that were taking place in the organisation.

The project was launched under the existing Blood is a Gift – Blood Management programme that has been running within Auckland City Hospital and Greenlane Clinical Centre since 2008.

The aim of the project was to attain the following objectives:

• Create an MSBOS for elective surgical procedures which was derived from local transfusion data

• Identify the number of unnecessary G&H performed for elective surgical procedures

The analysis highlighted a potential 37% reduction in current number of Group and Holds being done at Auckland City Hospital and Greenlane hospital, with economic benefit from implementation being approx. $97,320 per annum or a saving of $292,185 over 3 years. The MSBOS has been approved in principle by the hospital surgical board and is being discussed with various departments to gather feedback post which any changes will be made and it will be implemented. Further improvements in G & H ordering in acute surgical patients will follow.

Methods

Data was extracted and then analysed from three systems via the data warehouse.

These were the Case management system (CMS), Patient information management system (PIMS) and data from the New Zealand blood service (NZBS).

Data for three years was analysed from July 2011 –June 2014 for all adult patients having elective surgical procedures with an overall 55,198 procedures being included in the analysis. Data for paediatric patients, obstetric presenting for Caesarean section and acute surgeries (including return to OT post-elective procedures) was excluded from the analysis.

The procedures were categorised into 11 surgical specialties and 102 procedures based on ICD-10 coding system. The ICD-10 codes were then given a grade 1-3 (1 = major; 3 = minor) and where there was a case with multiple procedures, the procedure with highest grading was used for analysis.

Results The analysis showed that in the time period for which data was analysed.

• 80.7% patients had procedures met criteria for the “no G&H” and 19.3% met criteria for “G&H”.

• 6,235 G&H were done unnecessarily,

• 344 patients did not have G&H when they were required.

Conclusion

MSBOS Recommendation No. of Patients

Had G&H No G&H Transfusion Rates % Transfusion Index

No G&H 44,520 6,235 38,285 0.24% 0.005

G&H 10,678 10,334 344 49% 0.49

Total 55,198 16,569 38,629 3.8% 0.098

References

Frank, S. M., et al. (2013). "Optimizing preoperative blood ordering with data acquired from an anesthesia information management system." Anesthesiology 118(6): 1286-1297.

High level summary

Establishing a maximum surgical blood ordering schedule (MSBOS) for elective surgeries

For each procedure category, the following fields were captured,

• Number of patients who had or not had a group and hold

• Number of patients who had RBC transfusion

• Number of RBC units transfused

• High risk of bleeding (yes/no)

The following fields were also calculated

• Transfusion rate

• Transfusion index (Total RBC units / total number of pts.)

• >4 units RBC transfused in >10% patients

• Feedback from surgical and anaesthesia groups to set parameters of operations where blood must be available immediately despite low transfusion risk

• Cost benefit analysis was done with tests costs NZD $45 only and excluded maintenance of equipment and personnel costs.

A rules based flowchart (right) was developed based on local factors and referenced to the algorithm developed by (Frank, Rothschild et al. 2013)

Aim

% Transfused <5 and

Transfusion Index <0.3 and

Risk of major bleeding = ‘No’

% Transfused ≥ 5 and

Transfusion Index ≥ 0.3

Risk of major bleeding =‘yes’ or

No group and

hold to be

done

Antibody +ve?

≥4 units RBC in 10% patients?

Major vascular and transplants

Group and

hold to be

done

Group and

hold to be

done

Crossmatch 2 units

Crossmatch 2 units

Crossmatch 6-15

units

Yes

No

No

No

Yes

Estimated cost benefits by speciality Transfusion ratios by speciality