Effects of overall planning on staff burnout and group blood donation errors
10.13303/j.cjbt.issn.1004-549x.2022.10.015
- VernacularTitle:采供血策划对工作人员倦怠情绪及团体献血差错发生的影响
- Author:
Yun WANG
1
;
Feng WANG
1
;
Quan SUN
1
;
Jianhua ZHOU
1
;
Le WANG
1
Author Information
1. Huzhou Central Blood Station, Huzhou 313000, China
- Publication Type:Journal Article
- Keywords:
burnout;
group blood donation error;
logistic regression analysis
- From:
Chinese Journal of Blood Transfusion
2022;35(10):1055-1059
- CountryChina
- Language:Chinese
-
Abstract:
【Objective】 To analyze the causes of staff burnout and various errors during group blood donation in blood centers, and to explore the significance of overall planning to improve above problems. 【Methods】 Various errors occurred during group blood donation from January 2016 to December 2020 in a blood center were selected as the research object. Job burnout related survey data including emotional exhaustion (MBI-EE), work attitude (MBI-DP), sense of achievement (MBI-PA) etc. were collected. The influence of six variables, including blood collection quantity, staff, order control, plan compliance, overload blood collection and over-stock blood collection, on the occurrence of errors was analyzed, and an ordered logistic regression model was established. After optimizing overall planning measures, the occurrence of errors and the improvement of burnout were compared. 【Results】 In addition to the volume of blood collected (P>0.05), the other five variables had significant influence on the occurrence of errors (P<0.05), and all included in the final Logistic regression model, with the OR values as 6.178, 6.143, 4.768, 3.435 and 1.957, respectively. There were significant differences in the three aspects of job burnout index between the two groups (P<0.05). After the intervention of inventory management and blood collection planning assessment, the overall collection planning had been significantly improved, MBI-EE in job burnout index also significantly improved, and the incidence of errors significantly decreased (P<0.05), but MBI-DP and MBI-PA had no significant difference (P>0.05). 【Conclusion】 Scientific inventory management and effective blood collection assessment measures are helpful to improve work quality, and the ordered Logistic regression model has a good fitting degree for error rectification. Analyzing the occurrence of errors during blood collection and supply from the influencing factors is conducive to formulate corrective and preventive measures and promote the continuous improvement of work quality.
