ANALYSIS USING OF DRUGS BASE ON ABC/VEN METHOD AT CHIEM HOA DISTRICT HEALTH CENTER, TUYEN QUANG PROVINCE IN 2022

Authors

  • Ngo Thanh Huyen Tan Trao University
  • Nguyen Thi Nguyet Tan Trao University
  • Nguyen Thi Dung Tan Trao University
  • Nguyen Van Thang Tan Trao University

DOI:

https://doi.org/10.51453/2354-1431/2023/903

Abstract

Analyze the results of drug use by ABC/VEN method in order to identify inconsistencies in the current medication inventory and propose corrective measures. This will help save costs on purchasing medication and enhance medication utilization efficiency in the hospital. Method: a cross-sectional analysis using the ABC/VEN method conducted at the healthcare center. Data was collected from medical records and medication registries from January 1, 2022, to December 31, 2022. Results: The analysis of the ABC/VEN matrix reveals the following: Group I (consisting of AV, AE, AN, BV, CV) represents important medications, accounting for 81.35% of the utilization value. Group II (consisting of BE, BN, CE) represents less important medications, accounting for 18.18% of the utilization value. Group III (CN) represents non-important medications, accounting for 0.47% of the utilization value. Medications in group AN have a utilization value of 2,152,711,802 VND, indicating high-cost but unnecessary medications for treatment. Conclusion: in 2022, the Chiem Hoa district healthcare center used 401 medications with a total cost of 26,413,923,612 VND. Overall, the medication inventory was suitable for the disease model and met the professional needs of the hospital. However, to enhance medication utilization management, the unit should pay attention to group A medications and group N medications based on the ABC/VEN analysis

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References

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Published

2023-10-16

How to Cite

Ngô, H., Nguyễn, N., Nguyễn, D., & Nguyễn, T. (2023). ANALYSIS USING OF DRUGS BASE ON ABC/VEN METHOD AT CHIEM HOA DISTRICT HEALTH CENTER, TUYEN QUANG PROVINCE IN 2022. SCIENTIFIC JOURNAL OF TAN TRAO UNIVERSITY, 9(4). https://doi.org/10.51453/2354-1431/2023/903

Issue

Section

Natural Science and Technology