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Cheng F, Niu Y, Han B, Chen C, Yang H, Li J, Yang D, Tan B. Analysis of the effect and influencing factors of a clinical competency-oriented prospective pre-job training programme on the comprehensive ability of new employees in the department of transfusion medicine. Transfus Med 2024. [PMID: 39045711 DOI: 10.1111/tme.13069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 06/12/2024] [Accepted: 07/08/2024] [Indexed: 07/25/2024]
Abstract
BACKGROUND The subject of pre-job training for transfusion service laboratory technicians is very important. The key is how to make a reasonable systematic training programme to improve the effectiveness of training. METHODS A prospective training programme was conducted and an assessment was performed at enrollment (baseline) and reassessment after 3-months training, using the same tools with a validated questionnaire. RESULTS Clinical competency-oriented prospective pre-job training significantly improves the clinical transfusion-related comprehensive skills of new employees. The post-training assessment score was significantly affected by undergraduate major. CONCLUSION This study provided a clinical competency-oriented training programme for new employees in the department of transfusion medicine that could effectively enhance their comprehensive abilities.
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Affiliation(s)
- Fu Cheng
- Department of Transfusion Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Yingying Niu
- Department of Transfusion Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Bing Han
- Department of Transfusion Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Chunxia Chen
- Department of Transfusion Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Huan Yang
- Department of Transfusion Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Jiaheng Li
- Department of Transfusion Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Dongmei Yang
- Department of Transfusion Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Bin Tan
- Department of Transfusion Medicine, West China Hospital of Sichuan University, Chengdu, China
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Yu X, Wang Z, Shen Y, Liu Z, Wang H, Zhang S, Gan J, Xue F, Han W, Shi X, Hu Y, Wang L, Li N, Wu P, Yang C, Jiang J. Population-based projections of blood supply and demand, China, 2017-2036. Bull World Health Organ 2019; 98:10-18. [PMID: 31902958 PMCID: PMC6933428 DOI: 10.2471/blt.19.233361] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 08/17/2019] [Accepted: 08/23/2019] [Indexed: 11/27/2022] Open
Abstract
Objective To estimate the long-term effect of the changing demography in China on blood supply and demand. Methods We developed a predictive model to estimate blood supply and demand during 2017–2036 in mainland China and in 31 province-level regions. Model parameters were obtained from World Population Prospects, China statistical yearbook 2016, China’s report on blood safety and records from a large tertiary hospital. Our main assumptions were stable age-specific per capita blood supply and demand over time. Findings We estimated that the change in demographic structure between 2016 (baseline year) and 2036 would result in a 16.0% decrease in blood supply (from 43.2 million units of 200 mL to 36.3 million units) and a 33.1% increase in demand (from 43.2 million units to 57.5 million units). In 2036, there would be an estimated shortage of 21.2 million units. An annual increase in supply between 0.9% and 1.8% is required to maintain a balance in blood supply and demand. This increase is not enough for every region as regional differences will increase, e.g. a blood demand/supply ratio ≥ 1.45 by 2036 is predicted in regions with large populations older than 65 years. Sensitivity analyses showed that increasing donations by 4.0% annually by people aged 18–34 years or decreasing the overall blood discard rate from 5.0% to 2.0% would not offset but help reduce the blood shortage. Conclusion Multidimensional strategies and tailored, coordinated actions are needed to deal with growing pressures on blood services because of China’s ageing population.
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Affiliation(s)
- Xiaochu Yu
- Department of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Zixing Wang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China
| | - Yubing Shen
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China
| | - Zhong Liu
- Clinical Transfusion Research Center , Institute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China
| | | | - Shumei Zhang
- School of Statistics, Beijing Normal University, Beijing, China
| | - Jia Gan
- Department of Blood Transfusion, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Fang Xue
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China
| | - Wei Han
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China
| | - Xin Shi
- Beijing Red Cross Blood Center, Beijing, China
| | - Yaoda Hu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China
| | - Lei Wang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China
| | - Ning Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China
| | - Peng Wu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China
| | - Cuihong Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China
| | - Jingmei Jiang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China
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