陆军军医大学学报 (May 2023)

Establishment and efficacy of optimization strategy for large-scale nucleic acid collection in makeshift COVID-19 hospitals

  • LI Mao,
  • ZHOU Xiaoping,
  • SUN Wei,
  • YOU Jianping,
  • MAO Qing,
  • YANG Sha

DOI
https://doi.org/10.16016/j.2097-0927.202208039
Journal volume & issue
Vol. 45, no. 10
pp. 1087 – 1091

Abstract

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Objective To explore and construct an optimization strategy for large-scale nucleic acid collection mode in the emergency conditions of putting the makeshift COVID-19 hospitals into use. Methods A self-pre- and post- control study was conducted on 542 COVID-19 patients in the makeshift hospital located in National Exhibition and Convention Center (Shanghai) in April 2022. According to the elution period with an interval of 1 week, nucleic acid collection was carried out in red-zone package mode, in-cabin and out-cabin linkage mode and integrated precision sampling mode, and the consuming time of work was recorded. The electronic survey used to detect the satisfaction of patients. At the same time, the results of the levels of teamwork, patient cooperation and satisfaction of 106 medical staff participating in nucleic acid testing under the above different sampling modes were collected. Results The work consumption time of the integrated precision sampling mode was significantly shorter than that of the other two sampling modes (P < 0.01), the percentage patient satisfaction rate in the integrated precision sampling mode was higher than that of the other two sampling modes (P < 0.05), and the team cooperation, patient cooperation, and the percentage of satisfaction of medical staff were significantly higher than those of the other two sampling modes (P < 0.01) in the integrated precision sampling mode. Conclusion The integrated precision sampling mode can significantly shorten the sampling time in large-scale nucleic acid collection, effectively improve the degree of cooperation between doctors and patients in sampling work and increase the satisfaction of patients and medical staff during the sampling process.

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