ABSTRACT
Objective To develop an automatic warning software system for MEWS, and apply the MEWS system and SBAR communication mode to the early warning of surgical patients to evaluate its implementation effect. Methods From November 2017 to November 2018, 400 patients in the People′s Hospital of Guigang City, Guangxi, with vital signs and critical illness after surgery were divided into 200 patients in the control group and 200 in the study group according to the random number table. The control group: routinely calculated MEWS scores and reported abnormal values to the doctor to treat the patient′s condition. The research group: Combining MEWS assignment with computer technology, developing MEWS automatic disease warning software system and combining it with SBAR communication mode for early warning of surgical patients′condition, comparing the two groups′disease evaluation time, treatment response speed, communication completion rate and Whether patients and doctors have different job satisfaction with nurses. Results The disease assessment time and treatment response rate of the study group were (45.89±1.528) seconds and (1.22±0.57) minutes, respectively. The control group was (58.01± 5.123) seconds and (3.19 ± 1.56) minutes respectively. The difference between the two groups was significant (t=32.078,-7.899, P<0.01). The communication completion rate of the study group, the patient's job satisfaction to the nurses, and the doctor's job satisfaction to the nurses was 96.0% (192/200), 91.5% (183/200) and 97.0% (194/200) respectively. The rate in the control group was 61.5% (123/200), 79.0% (158/200), and 78.0% (156/200) respectively, the difference between the two groups was significant (χ2=71.126, 12.426, 33.006, P < 0.01). Conclusion The MEWS automatic warning software system and SBAR communication mode can be used to quickly assess the patient′s condition, improve the accuracy of medical communication, alert patients to potential risks and severity of illness, and improve nurses'work efficiency and patient and doctor's satisfaction with nurses'work degree.
ABSTRACT
Objective@#To develop an automatic warning software system for MEWS, and apply the MEWS system and SBAR communication mode to the early warning of surgical patients to evaluate its implementation effect.@*Methods@#From November 2017 to November 2018, 400 patients in the People′s Hospital of Guigang City, Guangxi, with vital signs and critical illness after surgery were divided into 200 patients in the control group and 200 in the study group according to the random number table. The control group: routinely calculated MEWS scores and reported abnormal values to the doctor to treat the patient′s condition. The research group: Combining MEWS assignment with computer technology, developing MEWS automatic disease warning software system and combining it with SBAR communication mode for early warning of surgical patients′ condition, comparing the two groups′ disease evaluation time, treatment response speed, communication completion rate and Whether patients and doctors have different job satisfaction with nurses.@*Results@#The disease assessment time and treatment response rate of the study group were (45.89±1.528) seconds and (1.22±0.57) minutes, respectively. The control group was (58.01±5.123) seconds and (3.19±1.56) minutes respectively. The difference between the two groups was significant (t=32.078, -7.899, P<0.01). The communication completion rate of the study group, the patient's job satisfaction to the nurses, and the doctor's job satisfaction to the nurses was 96.0% (192/200), 91.5% (183/200) and 97.0% (194/200) respectively. The rate in the control group was 61.5% (123/200), 79.0% (158/200), and 78.0% (156/200) respectively, the difference between the two groups was significant (χ2=71.126, 12.426, 33.006, P < 0.01).@*Conclusion@#The MEWS automatic warning software system and SBAR communication mode can be used to quickly assess the patient′s condition, improve the accuracy of medical communication, alert patients to potential risks and severity of illness, and improve nurses' work efficiency and patient and doctor's satisfaction with nurses' work degree.