RESUMEN
【Objective】 With the development of blood transfusion technology, the blood testing model is relatively decentralized, inefficient and costly in blood stations in China. Blood centralized detection not only effectively improves the quality of blood testing, but is also more cost-effective in labor and equipment.The purpose of this paper is to create a minimum cost model for blood testing that integrates the transportation cost, testing cost and center operating cost. 【Methods】 A mixed-integer planning model was developed with the annual cost of blood testing as the objective function, and sample processing capacity, sample allocation, logistic relationship between transportation and center construction, and consistency of transportation decisions with transportation volume as constraints.The empirical analysis takes Sichuan province as an example, collects data through expert interviews and research, does linear processing and adjustments to the segmented data to meet the modeling needs, and carries out modeling operations and verifies the optimal solution through python coding. 【Results】 A mixed integer programming model suitable for the number and location of centralized testing laboratories in China was developed.In the empirical analysis of Sichuan, the data required for the model was collected and the segmented data was linearized. A detailed cost analysis was conducted, revealing that the most cost-effective option was to establish centralized testing laboratories in Chengdu and Suining.The least cost-effective option identified in this study involved independent testing at 21 blood stations. Compared to this baseline, the most cost-effective strategy(establishing centralized testing laboratories in Chengdu and Suining) can reduce expenses by 29.433%. To ensure the reliability of these results, multiple rounds of validation were performed. Further analysis revealed that the strategy of establishing testing centers in Chengdu and Bazhong was a suboptimal choice, which can achieve a cost reduction of 29.431%. 【Conclusion】 This paper constructs a mixed-integer planning model for the number and location of centralized testing laboratories, which for the first time provides a decision-making basis for the location of regional centralized blood testing in China from the perspective of cost, and carries out an empirical analysis of Sichuan to develop the most cost-effective option.
RESUMEN
【Objective】 To explore the recruitment strategy of blood donors under the situation of blood supply shortage during the COVID-19 epidemic. 【Methods】 The theory of planned behavior and the stage change model of behavior were used to analyze the recruitment strategy of blood donors during the COVID-19 epidemic. The recruitment practice strategies of some countries or regions, i. e. the United States, Japan, South Korea, and the European Union, during this period were investigated. Based on the theoretical analysis results and practical status, relevant reference strategies were proposed. 【Results】 The theoretical analysis showed that attitude, subjective norms and ethical norms played an important role in the recruitment of blood donors during the COVID-19 epidemic, but blood donation self-efficacy and promoting blood donation behavior were the two key factors. According to the survey, in terms of enhancing and maintaining attitudes, subjective norms, ethical norms and other elements that were jointly affected by the same strategy, most countries continued previous policies while some updated recruitment ideas. In terms of enhancing and maintaining the key elements of blood donation self-efficacy, more human and material support had been made. 【Conclusion】 During the COVID-19 pandemic, enhancing and maintaining blood donation self-efficacy and promoting blood donation behavior are the key elements to effectively improve the blood supply shortage. The blood donor recruitment strategy constructed accordingly has reference value for China.