{"title":"通过制定关键绩效指标持续改进大规模输血质量的综合方法","authors":"Ancy Ninan, Vimal Krishnan, Shamee Shastry, Ganesh Mohan, Deepika Chenna, Deep Madkaiker, Jayaraj Mymbilly Balakrishnan","doi":"10.1111/vox.13732","DOIUrl":null,"url":null,"abstract":"Background and ObjectivesTo develop key performance indicators (KPI) for use in quality assessment of our institutional goal‐directed massive transfusion (GDMT).Materials and MethodsA team comprising our transfusion and emergency medicine departments carried out a cross‐sectional data analysis of GDMT in adult patients from January 2021 to December 2022. The study was rooted in the Define, Measure, Analyse, Improve, Control (DMAIC) approach. Features of KPIs were (a) importance, (b) scientific soundness and (c) feasibility. Study parameters were defined and analysed using measures of central tendencies and benchmark comparison.ResultsNinety‐two massive transfusion events occurred and 1405 blood components were used. Trauma was the leading cause, followed by postpartum haemorrhage and upper gastrointestinal bleeding. Appropriate GDMT activation was observed only in 43.47% of events. The turnaround time (TAT) was within the benchmark in 85.8% of events with an average of 16 ± 10 min. The average utilization of blood components was 20.5 (interquartile range [IQR] = 11.3) in the appropriate group and 5.5 (IQR = 4.25) in the inappropriate group with a wastage rate of 3.5%. Duration of activation was 6.19 ± 4.59 h, and the adherence to thromboelastography was 66.3%. Overall mortality was 45.65%, and the average duration of hospital stay was 6.1 ± 5.9 days.ConclusionThe KPIs developed were easy to capture, and the analysis provided a comprehensive approach to the quality improvement of the GDMT protocol.","PeriodicalId":23631,"journal":{"name":"Vox Sanguinis","volume":"18 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A comprehensive approach to continuous quality improvement of massive transfusion by developing key performance indicators\",\"authors\":\"Ancy Ninan, Vimal Krishnan, Shamee Shastry, Ganesh Mohan, Deepika Chenna, Deep Madkaiker, Jayaraj Mymbilly Balakrishnan\",\"doi\":\"10.1111/vox.13732\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background and ObjectivesTo develop key performance indicators (KPI) for use in quality assessment of our institutional goal‐directed massive transfusion (GDMT).Materials and MethodsA team comprising our transfusion and emergency medicine departments carried out a cross‐sectional data analysis of GDMT in adult patients from January 2021 to December 2022. The study was rooted in the Define, Measure, Analyse, Improve, Control (DMAIC) approach. Features of KPIs were (a) importance, (b) scientific soundness and (c) feasibility. Study parameters were defined and analysed using measures of central tendencies and benchmark comparison.ResultsNinety‐two massive transfusion events occurred and 1405 blood components were used. Trauma was the leading cause, followed by postpartum haemorrhage and upper gastrointestinal bleeding. Appropriate GDMT activation was observed only in 43.47% of events. The turnaround time (TAT) was within the benchmark in 85.8% of events with an average of 16 ± 10 min. The average utilization of blood components was 20.5 (interquartile range [IQR] = 11.3) in the appropriate group and 5.5 (IQR = 4.25) in the inappropriate group with a wastage rate of 3.5%. Duration of activation was 6.19 ± 4.59 h, and the adherence to thromboelastography was 66.3%. Overall mortality was 45.65%, and the average duration of hospital stay was 6.1 ± 5.9 days.ConclusionThe KPIs developed were easy to capture, and the analysis provided a comprehensive approach to the quality improvement of the GDMT protocol.\",\"PeriodicalId\":23631,\"journal\":{\"name\":\"Vox Sanguinis\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vox Sanguinis\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/vox.13732\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vox Sanguinis","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/vox.13732","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEMATOLOGY","Score":null,"Total":0}
A comprehensive approach to continuous quality improvement of massive transfusion by developing key performance indicators
Background and ObjectivesTo develop key performance indicators (KPI) for use in quality assessment of our institutional goal‐directed massive transfusion (GDMT).Materials and MethodsA team comprising our transfusion and emergency medicine departments carried out a cross‐sectional data analysis of GDMT in adult patients from January 2021 to December 2022. The study was rooted in the Define, Measure, Analyse, Improve, Control (DMAIC) approach. Features of KPIs were (a) importance, (b) scientific soundness and (c) feasibility. Study parameters were defined and analysed using measures of central tendencies and benchmark comparison.ResultsNinety‐two massive transfusion events occurred and 1405 blood components were used. Trauma was the leading cause, followed by postpartum haemorrhage and upper gastrointestinal bleeding. Appropriate GDMT activation was observed only in 43.47% of events. The turnaround time (TAT) was within the benchmark in 85.8% of events with an average of 16 ± 10 min. The average utilization of blood components was 20.5 (interquartile range [IQR] = 11.3) in the appropriate group and 5.5 (IQR = 4.25) in the inappropriate group with a wastage rate of 3.5%. Duration of activation was 6.19 ± 4.59 h, and the adherence to thromboelastography was 66.3%. Overall mortality was 45.65%, and the average duration of hospital stay was 6.1 ± 5.9 days.ConclusionThe KPIs developed were easy to capture, and the analysis provided a comprehensive approach to the quality improvement of the GDMT protocol.
期刊介绍:
Vox Sanguinis reports on important, novel developments in transfusion medicine. Original papers, reviews and international fora are published on all aspects of blood transfusion and tissue transplantation, comprising five main sections:
1) Transfusion - Transmitted Disease and its Prevention:
Identification and epidemiology of infectious agents transmissible by blood;
Bacterial contamination of blood components;
Donor recruitment and selection methods;
Pathogen inactivation.
2) Blood Component Collection and Production:
Blood collection methods and devices (including apheresis);
Plasma fractionation techniques and plasma derivatives;
Preparation of labile blood components;
Inventory management;
Hematopoietic progenitor cell collection and storage;
Collection and storage of tissues;
Quality management and good manufacturing practice;
Automation and information technology.
3) Transfusion Medicine and New Therapies:
Transfusion thresholds and audits;
Haemovigilance;
Clinical trials regarding appropriate haemotherapy;
Non-infectious adverse affects of transfusion;
Therapeutic apheresis;
Support of transplant patients;
Gene therapy and immunotherapy.
4) Immunohaematology and Immunogenetics:
Autoimmunity in haematology;
Alloimmunity of blood;
Pre-transfusion testing;
Immunodiagnostics;
Immunobiology;
Complement in immunohaematology;
Blood typing reagents;
Genetic markers of blood cells and serum proteins: polymorphisms and function;
Genetic markers and disease;
Parentage testing and forensic immunohaematology.
5) Cellular Therapy:
Cell-based therapies;
Stem cell sources;
Stem cell processing and storage;
Stem cell products;
Stem cell plasticity;
Regenerative medicine with cells;
Cellular immunotherapy;
Molecular therapy;
Gene therapy.