Research on the Construction of an Emergency Group Injury Classification Management Model based on the Six Sigma Methodology
Download PDF
$currentUrl="http://$_SERVER[HTTP_HOST]$_SERVER[REQUEST_URI]"

Keywords

Six Sigma method
Critical incident
Group injury
Classification management

DOI

10.26689/ssr.v6i5.6912

Submitted : 2024-05-19
Accepted : 2024-06-03
Published : 2024-06-18

Abstract

Objective: This study aimed to investigate an effective management model for coping with critical incident group injuries. Methods: The study started and ended from January 2022 to December 2023, in which 68 patients with critical incident group injuries admitted from January 2022 to December 2022 were selected as the control group in the conventional management mode, and 76 patients with critical incident group injuries admitted in the hospital were selected as the study group in the classification management mode based on the Six Sigma method to compare the management effects of the two groups. The management effects of the two groups were compared. Results: The study group took less time to rescue than the control group, and the resuscitation success rate was higher than that of the control group (P < 0.05). Conclusion: The classification management model based on the Six Sigma method is effective and can be popularized and applied in medical institutions.

References

Zhang Y, 2023, A Study on the Resilience of Hospital Emergency Management for Emergency Treatment of Sudden Mass Casualties. China Health Standard Management, 14(7): 101–105.

Zhang L, Gui L, Zhang J, et al., 2008, Current Status of Research on Decision-making for Triage of Group Injured and Sick Patients in Public Emergencies. PLA Nursing Journal, 25(24): 34–35 + 43.

Wu L, Chen PL, 2016, Psychological Care of Post-traumatic Stress Disorder after Sudden Group Violence. World Digest of Recent Medical Information (Continuous Electronic Journal), 16(23): 255–256.

Yuan JF, Yang SJ, Sun H, 2015, Nursing Management of Group Injury Contingency Plan in Unexpected Accidents. General Practice Nursing, 2015(18): 1778–1779.

Wang XY, Liu JX, Yang YL, 2015, A 7-week Survey of Post-traumatic Stress Symptoms in Armed Police Soldiers Dealing with Sudden Mass Violence. Chinese Journal of Mental Health, 2015(10): 765–766.

Xu XD, Lu SY, Zhang L, et al., 2014, Correlates of Post-traumatic Stress Disorder and Depression in Community Residents after Unexpected Group Events. Chinese Journal of Mental Health, 28(4): 241–247.

Xu XD, Lu SY, Xia YL, et al., 2012, Relationship between Post-traumatic Stress Disorder and Exposure Time and Social Support in Injured Persons of Sudden Mass Incidents. Chinese Journal of Mental Health, 26(5): 352–356.