Monitoring on hemodialysis events based on optimized information monitoring software
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1.School of Nursing, Xuzhou Medical University, Xuzhou 221000, China;2.Department of Healthcare-associated Infection Management, The Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, China;3.Center of Hemodialysis, The Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, China

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    Abstract:

    Objective To monitor hemodialysis events (DE) in hemodialysis outpatients, obtain the incidence of DE, and verify the effectiveness of monitoring on DE through optimized information monitoring software. Methods Based on the optimized information monitoring software, patients who underwent maintenance hemodialysis in outpatient department of the Affiliated Hospital of Xuzhou Medical University in the first two working days of each month from August 2019 to July 2020 were selected, prospective survey method was adopted to investigate antimicrobial use, vascular access infection and positive blood culture results of patients, the occurrence of DE was monitored. Results A total of 5 393 hemodialysis outpatients were monitored, there were 206 cases (3.82/100 patients·month) of DE. DE was monitored by optimized monitoring software, it was found that after software was updated, incidence of DE at vascular access sites increased according to the comparison of different types of DE (0.70/100 patients·month vs 0.10/100 patients·month), difference was significant (P < 0.001); according to the comparison of different vascular access types, after software was updated, incidence of DE in other vascular access types decreased(4.19/100 patients·month vs 4.60/100 patients·month), while incidence of DE in tunneled and non-tunneled catheters increased significantly (11.79/100 patients·month vs 2.64/100 patients·month, 13.20/100 patients·month vs 7.33/100 patients·month), difference were both significant (both P < 0.05). In August 2019, incidence of DE in patients was the highest (9.51/100 patients·month), during the monitoring period, incidence of DE showed a downward trend and decreased to 1.05/100 patients·month by July 2020. Conclusion Incidence of DE is high, monitoring through optimized information monitoring software is feasible, which can effectively obtain infection-related baseline data, find weak points in infection prevention and control, and effectively reduce the incidence of infection.

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高洁,石荃,茅一萍,等.基于优化的信息化监测软件开展血液透析事件监测[J].中国感染控制杂志英文版,2021,(9):838-843. DOI:10.12138/j. issn.1671-9638.20218435.
Jie GAO, Quan SHI, Yi-ping MAO, et al. Monitoring on hemodialysis events based on optimized information monitoring software[J]. Chin J Infect Control, 2021,(9):838-843. DOI:10.12138/j. issn.1671-9638.20218435.

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History
  • Received:May 20,2021
  • Revised:
  • Adopted:
  • Online: April 26,2024
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