Research on the Application of Evidence-Based Quality Control Circle to Improve the Implementation Rate of Airway Management Measures in Adult Critically Ill Patients
Objective: To explore the effect of evidence-based quality control circle (QCC) in improving the implementation rate of airway management measures in adult critically ill patients. Methods: Based on the Joanna Briggs Institute (JBI) evidence-based health care model, the best evidence of airway management in adult critically ill patients was obtained and applied to the clinic. Results: The total implementation rate of airway management measures in adult critically ill patients increased from 23.62% before the implementation of quality control circle to 88.82%, and the pulmonary infection rate in critically ill patients decreased from 42.31% to 21.74%, with statistical significance between the two groups (P < 0.05). The sputum characteristics of patients were significantly improved before the application of evidence (P < 0.05). The length of hospital stay in NICU was shortened, which had positive significance to a certain extent, but there was no statistical significance between the two groups (P > 0.05). Conclusion: Evidence-based quality control circle activities can standardize the practice standards of airway management in critically ill patients, reduce the occurrence of patients’ airway related complications, and improve clinical outcomes.
References
[1]
Mussa, C.C., Gomaa, D., Rowley, D.D., et al. (2020) AARC Clinical Practice Guideline: Management of Adult Patients with Tracheostomy in the Acute Care Setting. Respiratory Care, 66, 156-169. https://doi.org/10.4187/respcare.08206
[2]
Umobong, E.U. and Mayo, P.H. (2018) Critical Care Airway Management. Critical Care Clinics, 34, 313-324. https://doi.org/10.1016/j.ccc.2018.03.006
[3]
Feng, D., Zhou, Y., Zhou, M., et al. (2019) Risk Factors for Mortality due to Ventilator-Associated Pneumonia in a Chinese Hospital: A Retrospective Study. Medical Science Monitor, 25, 7660-7665. https://doi.org/10.12659/MSM.916356
[4]
Chinese Association of Neurosurgery, Chinese Association of Neurosurgery Critical Care Management (2016) Expert Consensus on Airway Management in Severe Neurosurgical Patients in China. Chinese Medical Journal, 96, 1639-1642. (In Chinese)
[5]
National Health and Family Planning Commission (2016) Standard for Nosocomial Infection Prevention and Control in Intensive Care Unit. http://www.nhc.gov.cn/wjw/s9496/201701/1f9de66563304061a4fcd7f54a9399fb.shtml
[6]
Yan, Y.J., Ding, J., Liu, Z.H., et al. (2019) Summary of Best Evidence for Airway Management in Critically Ill Adults. Journal of Nursing, 28, 39-45. (In Chinese)
[7]
Li, J.X., Xu, N., Liu, F., et al. (2019) How to Improve the Quality of Quality Control Circle Meeting. Chinese Journal of Health Quality Control, 28, 65-68.
[8]
Nelson, G., Altman, A.D., Nick, A., et al. (2016) Guidelines for Pre-and Intra-Operative Care in Gynecologic/Oncology Surgery: Enhanced Recovery after Surgery (ERAS®) Society Recommendations—Part I. Gynecologic Oncology, 140, 313-322.
[9]
Hu, Y. and Hao, Y.F. (2018) Evidence-Based Nursing. 2nd Edition, People’s Medical Publishing House, Beijing.
[10]
Brouwers MKMBG (2010) AGEREE II: Advancing Guideline Development, Reporting and Evaluation in Healthcare. Canadian Medical Association Journal, 182, e839-e842. https://doi.org/10.1503/cmaj.090449
[11]
Ministry of Health of the People’s Republic of China (2001) Diagnostic Criteria for Nosocomial Infection (Trial). Chinese Journal of Medicine, 81, 314-320.
[12]
Jiang, C.M., Bai, S.L. and Wang, C. (1994) Identification Method and Clinical Significance of Phlegm Viscosity after Artificial Airway. Chinese Journal of Nursing, No. 7, 434.
[13]
Hu, N., Li, C.L., Du, X.L., et al. (2019) Design and Practice of Artificial Airway Management for Coma Patients in Neurosurgery. Chinese Journal of Nursing, 54, 839-843. (In Chinese)