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Sun P, Zhu L, Ma L, Li C, Wang Z, Zhang R, Ye S, Wang Y. Blood Service in a Region of China's Qinghai-Tibetan Plateau. Healthcare (Basel) 2023; 11:1944. [PMID: 37444778 DOI: 10.3390/healthcare11131944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/02/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023] Open
Abstract
Objectives: The purpose of this paper is to describe blood services in the Aba Tibetan and Qiang Regions, (hereinafter referred to as Aba Prefecture), a region of China's Qinghai-Tibetan Plateau, the third largest area of Tibet and the main inhabited area of the Qiang people. Design: We present a comprehensive investigation into blood donations, donors, screening and supply in the 13 counties of Aba Prefecture based on data from 2013 to 2018. Geography and population were also used to analyze the differences in blood services among different regions. Participants: The number of blood donors totaled 19,047. Results: Over the past 6 years, blood donations have increased by 29 and clinical blood usage by 45%. The blood donation rate was 3.4‱ and per capita blood use was 1.04 mL, both of which were significantly lower than the national average, and blood donation decreased with altitude. It should be noted that the donation rate of the Tibetan and Qiang peoples is much lower than that of the Han population. Moreover, the rejection rate of blood in laboratory testing was found to be higher than the national average, especially in counties located at higher altitudes. Conclusions: Blood donations and usage increased every year in Aba Prefecture, but blood shortage is still an important issue. In addition, the prevalence of transfusion-transmitted diseases is relatively high, which may be linked to lower-education and unfavorable geographical and medical conditions.
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Affiliation(s)
- Pan Sun
- Institute of Blood Transfusion, Chinese Academy of Medical Sciences and Peking Union Medical College, Chengdu 610052, China
| | - Liyuan Zhu
- Institute of Blood Transfusion, Chinese Academy of Medical Sciences and Peking Union Medical College, Chengdu 610052, China
| | - Li Ma
- Institute of Blood Transfusion, Chinese Academy of Medical Sciences and Peking Union Medical College, Chengdu 610052, China
| | - Changqing Li
- Institute of Blood Transfusion, Chinese Academy of Medical Sciences and Peking Union Medical College, Chengdu 610052, China
| | - Zongkui Wang
- Institute of Blood Transfusion, Chinese Academy of Medical Sciences and Peking Union Medical College, Chengdu 610052, China
| | - Rong Zhang
- Institute of Blood Transfusion, Chinese Academy of Medical Sciences and Peking Union Medical College, Chengdu 610052, China
| | - Shengliang Ye
- Institute of Blood Transfusion, Chinese Academy of Medical Sciences and Peking Union Medical College, Chengdu 610052, China
- Blood Center of Aba Tibetan and Qiang Autonomous Prefecture, Barkam 624000, China
| | - Ya Wang
- Institute of Blood Transfusion, Chinese Academy of Medical Sciences and Peking Union Medical College, Chengdu 610052, 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] [What about the content of this article? (0)] [Affiliation(s)] [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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