ABSTRACT
【Objective】 To explore the effectiveness of PDCA (Plan-Do-Check-Act Cycle Management) in clinical emergency blood management. 【Methods】 The data of emergency blood-using cases from January 2021 to June 2022 in each clinical department of our hospital were collected to observe the blood matching time, blood retrieving time, and emergency bloodusing rate. They were divided into PDCA experimental group (Experimental group, July to December 2021, n=287), pre-PDCA experimental group (Control group 1, January to June 2021, n=516) and post-PDCA experimental cessation group (Control group 2, January to June 2022, n=277). Subgroup analysis was performed according to different departments, which were Internal Medicine Department, Surgery Depatment, and ICU. The situation of non-emergency blood use occupying emergency lanes in the pre-implementation period was continuously improved using PDCA, and the differences in blood matching time, blood retrieving time, and emergency blood-using rate among the three groups were compared and analyzed by Kruskal-Wallis test and chi-square test. 【Results】 The blood matching time and blood retrieving time (M, min) in the experimental group, control group 1 and control group 2 were 19.00 vs 45.50 vs 23.00 and 22.00 vs 44.00 vs 25.00, respectively (P< 0.05), and were 19.00 vs 47.00 vs 24.00 and 23.00 vs 56.00 vs 30. 50 in Internal Medicine Department, 18.00 vs 57.50 vs 14.00 and 32.00 vs 41.00 vs 24.00 in Surgery Department, 20.00 vs 42.00 vs 23.00 and 16.50 vs 34.00 vs 12.50 in ICU (P<0.05). The rate of emergency blood use in the experimental group, control group 1, and control group 2 were 6.9%(287/4 141) vs 11.0%(516/4 689) vs 6.8%(277/4 089), respectively (P< 0.05), and were 6.3%(175/2 769) vs 11.8% (297/2 512) vs 6.7% (186/2 789) in Internal Medicine Department, 5.9%(24/405) vs 3.6 %(44/1 213) vs 7.4% (37/501) in Surgery Department, and 9.1% (88/967) vs 18% (175/973) vs 6.8%(54/799) in ICU (P<0.05). 【Conclusion】 The adoption of PDCA in Blood Transfusion Department can effectively shorten the blood matching time and blood retrieving time for clinical emergencies and improve the success rate of emergency blood transfusion.
ABSTRACT
【Objective】 To explore the value of thrombelastogram(TEG) on monitoring the coagulation function and guiding blood transfusion in admitted patients in early stage of severe trauma. 【Methods】 A total of 96 patients in early stage of severe trauma were selected from Ezhou Central Hospital, and were divided into two groups using a random number table method, with 48 patients in each group. The control group was guided by four routine coagulation tests for blood transfusion, while the observation group was guided by TEG.The detection rate of trauma-induced coagulopathy, detection duration, blood infusion volume within 24 hours of admission, coagulation index levels at different time points after blood transfusion, length of hospital stay, ICU stay, and mortality rate between the two groups were compared. 【Results】 The detection rate of trauma-induced coagulopathy was 72.9% in the control group and 93.8% in the observation group(P<0.05). The transfusion volume of fresh frozen plasma (U) and red blood cell (U) in the observation group within 24 hours of admission were significantly lower than those in the control group, which were (35.13±4.75) vs (45.17±6.54), (5.19±1.41) vs (7.08±1.32) (P<0.05); the tranfusion volume of cryoprecipitate (U) and the rate of platelet transfusion in the observation group were significantly higher than those in the control group, which were (36.78±2.49) vs (24.84±3.92), 79.2% vs 22.9%(P<0.05). The APTT(s), PT(s), TT(s), R(min), and K(min) in the observation group 8 hours after blood transfusion were significantly lower than those in the control group, which were (58.16±10.39) vs (70.83±14.99), (15.44±3.22) vs (17.32±2.89), (21.39±4.51) vs (25.18±4.73), (13.03±3.29) vs (14.95±4.57), and (8.07±3.65) vs (10.54±5.14) (P<0.05), while FIB(g/L), MA(mm), α(°), and Plt (×109/L) were higher than those in the control group, which were (2.02±0.46) vs (1.09±0.27), (35.56±11.88) vs (29.57±9.25), (40.07±13.34) vs (27.23±10.87), and (135.87±59.13) vs (108.17±52.08) (P<0.05). 【Conclusion】 TEG can help monitoring the coagulation function in patients in early stage of severe trauma and guide the blood transfusion.
ABSTRACT
【Objective】 To retrospectively analyze the clinical use of low-dose blood components in Dongguan and the trend of clinical pediatric blood use, so as to provide reference for better preparation and inventory management of low-dose blood components in blood centers. 【Methods】 The clinical consumption of RBCs, platelets and plasma of Dongguan Blood Center from 2015 to 2020 was counted. The compositions and changes of low-dose blood components by specifications (0.25 U, 0.5 U), years and hospitals (public grade A general hospital, public grade A specialized hospital, private grade A hospital, private hospital equivalent to grade A, regional central hospital, public township hospital, small private hospital) were analyzed. 【Results】 The cumulative growth rates of low-dose RBCs, platelets, and plasma in 6 years were 10.78%, 1 098.55% and -29.41%, respectively, and the compound annual growth rates were 2.07%, 64.34% and -6.73%, respectively. The composition of low-dose blood components in RBCs, platelets and plasma was different (P<0.05) in different levels of hospitals, among which RBCs and plasma were the mostly used in public grade A specialized hospital, accounting for 45.08% (7 272 /16 133) and 53.18% (7 199/13 373) respectively, while platelets were the mostly used in private grade A management hospitals, accounting for 77.38% (3 393/4 385), dominated by apheresis platelets 53.84% (1 144/2 125) and irradiated apheresis platelets 99.51% (2 249/2 260). The composition ratios of 0.25 U and 0.5 U RBCs used in different hospitals were significantly different (P<0.05). The 0.25 U RBCs were used mostly in public grade A hospitals (62.60%, 3 502/5 594) and 0.5 U RBCs in public grade A specialized hospitals (62.09%, 6 544/10 539). 【Conclusion】 The total consumption of low-dose blood components in clinical pediatrics from 2015 to 2020 were as follows: platelets had increased significantly year by year, RBCs had increased steadily and with fluctuation, plasma had a downward trend year by year. The consumption volume and varieties used in different levels of hospitals were uneven, which may be related to the development of pediatrics departments in hospitals and their capabilities to conduct new business. Regular monitoring of the trend of low-dose blood component consumption is of great significance to guarantee the pediatric clinical blood supply.
ABSTRACT
【Objective】 To explore the effect of mobile transfusion closed-loop information system in the whole process management of clinical blood transfusion. 【Methods】 The hospital information system (HIS) of Soochow Hospital affiliated to Nanjing Medical University was integrated with the blood information system (BIS) and personal digital assistant (PDA) to build a closed-loop transfusion management process to ensure the safety of clinical blood use. From May 2021 to April 2022, 1 395 patients who were admitted to our hospital for blood transfusion therapy were studied. Among them, 632 patients from May to October 2021 (before the implementation of closed-loop management) were the control group, and 763 patients from November 2021 to April 2022 (after the implementation of closed-loop management) were the observation group. Before and after the implementation of closed-loop management, we compared the implementation rate of double-checking before blood sample collection, rate of transfusion within 30 min after blood issuing, implementation rate of double-checking of bedside transfusion, situation of patrol every 15 minutes, rate of transfusion completed within 4 h, rate of nursing documentation standardization, so as to evaluate the improvement effect of the whole process of transfusion management. 【Results】 The implementation rate of double-checking before blood sample collection was 99.48%(759/763) in the observation group and 93.99%(594/632) in the control group; the transfusion rate within 30 min after blood issuing was 95.02%(725/763) in the observation group and 91.46%(578/632) in the control group; the implementation rate of double-checking of bedside transfusion was 100%(763/763) in the observation group and 95.73%(605/632) in the control group; the complete rate of patrol every 15-min was 94.36%(720/763) in the observation group and 90.35%(571/632) in the control group; the completion rate of transfusion within 4 h was 95.81%(731/763) in the observation group and 92.25%(583/632) in the control group; the rate of nursing paperwork standardization was 98.03%(748/763) in the observation group and 81.80%(517/632) in the control group, and the difference between the two groups was statistically significant (P<0.05). 【Conclusion】 The mobile transfusion closed-loop information system can realize the whole process management of clinical blood transfusion, effectively improve the standardization of blood transfusion and transfusion documents, and guarantee the safety of clinical blood transfusion.
ABSTRACT
【Objective】 To explore the application of the indicator system of disease diagnosis related groups (DRGs) on the management of clinical blood use in hospitals. 【Methods】 Statistics information on clinical blood use as well as DRGs indexes including case mixed index (CMI), DRG grouping and corresponding weights among patients discharged during 2017 to 2019 from a hospital were recorded. RBC usage per 100 discharged patients after CMI adjustment and DRGs with a larger number of annual blood use cases were compared to make recommendations on the management of clinical blood use in the hospital. 【Results】 From 2017 to 2019, the number of blood users and patients discharged from our hospital kept growing, while the total blood use, RBC usage per 100 discharged patients after CMI adjustment showed a decreasing trend. There were 6 DRGs with the top five blood users from 2017 to 2019, and the top five DRGs accounted for 0.79%(5/629)in 2019, involving 1 611 blood use cases, accounted for 37.49%(1 611/4 297)of all cases of blood use in the year. 【Conclusion】 The application of the indicator system of DRGs to evaluate the clinical use of blood in hospitals is conductive to improve the rationality of clinical blood use, and can provide recommendations for the management of clinical blood use.
ABSTRACT
【Objective】 To explore the effect of intelligent closed-loop mobile nursing management system in quality management of blood transfusion. 【Methods】 The mobile nursing system and the cold chain management system of our hospital were integrated to realize intelligent closed-loop management of blood transfusion. After consulting medical records, 789 blood recipients, admitted to the Department of Hematology of our hospital from January to December 2017 (before the implementation of closed-loop management), were selected as the control group, and 836 blood recipients, admitted during January to December 2018 (after the implementation of closed-loop management), were selected as the observation group. A self-designed blood transfusion standard management checklist was adopted, with the number of standard execution items as the numerator and the total number of checked items as the denominator to obtain the standard implementation rate. The checking rate of blood sample collection, blood transfusion rate within 30 min after blood issuing, the execution rate of double check specification and inspection specification, the completion rate of RBCs transfusion within 4 h and qualified rate of blood transfusion nursing record before and after the implementation of closed-loop management were compared by chi-square test or Fisher's exact probability method to evaluate the efficacy of blood quality management improvement. A total of 8 head nurses from clinical departments (Hematology Department, Cardiac Surgery Department, Operating Room, Comprehensive ICU) involved in blood transfusion were selected for semi-structured interviews. The interviews focused on the effect of intelligent closed-loop mobile nursing information system in quality management of clinical blood use, and the results of the interviews were analyzed. 【Results】 The double check execution rate of blood transfusion, the checking rate of blood sample collection specification, the transfusion rate within 30 min after blood issuing, the execution rate of blood transfusion inspection, the completion rate of RBCs transfusion within 4 h, the qualified rate of blood transfusion nursing record in the observation group and the control group after and before the implication of the intelligent closed-loop mobile nursing management system were 100%(836/836) vs 97.72%(771/789), 99.04%(828/836) vs 97.34%(768/789), 97.97%(819/836) vs 95.06%(750/789), 99.28%(830/836) vs 94.93%(712/789), 99.16%(829/836) vs 97.47%(769/789) and 100%(836/836) vs 89.73%(708/789), respectively, showing significant improvement (P < 0.05). The time spend on the record, summary and feedback of quality control results was significantly shortened. 【Conclusion】 The application of intelligent closed-loop mobile nursing management system in the quality management of clinical blood use can effectively improve the efficiency of blood transfusion, nursing quality and the safety of clinical blood use.
ABSTRACT
【Objective】 To evaluate the influence of establishing " blood station-hospital" information management system, based on the concept of Internet, on blood supply and use. 【Methods】 Blood information management system was established in our blood station, and connected to 21 secondary and above hospitals with blood storage function in Maoming to achieve interconnection and timely observation and recording of blood collection, supply and use. The working intensity, blood appointment, incidence of adverse reactions of clinical blood transfusion and satisfaction rate of clinical blood consumption before (April 2017 to March 2018) and after (April 2018 to March 2019) the application of the blood station-hospital information system were compared. 【Results】 In the same period before and after the implementation of blood station-hospital information system, the blood volume (U) collected was 78 249 vs 87 044.5, and the total blood supplied (U) was 225 276.5 vs 249 303, with growth rates at 11.24% and 10.67%, respectively; The average daily working intensity (s) of blood supply staff was 68.68±4.13 vs 41.71±3.76 (P<0.01), and average daily area (m2) was 9.82±3.51 vs 3.31±3.49 (P<0.05). The appointment time of clinical blood by telephone (s) was 110.34±6.79 vs 56.38±4.18 (P< 0.01), by network was 28.55±2.27 vs 13.48±2.76 (P<0.01); The incidence of transfusion adverse reactions was 0.035% (11/31 250) vs 0.012% (5/42 314) P<0.05); The satisfaction rates of clinical blood consumption were 85.71% (18/21) vs 100% (21/21) (P<0.01). 【Conclusion】 The implementation of blood station-hospital information system improved the efficiency of blood collection and supply in blood stations, and reduced the work intensity of blood supply staff. It is beneficial to reduce the incidence of adverse reactions of clinical blood transfusion and improve the satisfaction rate of blood consumption.
ABSTRACT
The medical order number of a blood transfusion is used as the matching number in the full range of clinical blood use. A cycle is built ranging from the application for to the implementation of a medical order for blood transfusion. Such measures as repeated blood types verification by two departments, dual-database management of blood type files, and bar coding are called into play to ensure information correctness. These measures can make sure that the correct blood type is transfused to the correct patient and rule out accidents in blood transfusion. Indications for blood products are set up under real-time surveillance, which makes available limited blood products supply to those in need and minimizes waste and abuse of such products. The full-range and real-time management of clinical blood use will confine blood transfusion indications and ensure patients' safety with 100% match ratio.