LI Qiao-ling, DANG Zhao, QU Yan, MOU Chun-ying, LI Chun-li, HUANG Chao-jun, LIU Xiao-bo. Evaluation of the stroke patients based on modified early warning score and its comparison with traditional nursing evaluation[J]. Journal of Bengbu Medical University, 2022, 47(5): 685-687. DOI: 10.13898/j.cnki.issn.1000-2200.2022.05.032
    Citation: LI Qiao-ling, DANG Zhao, QU Yan, MOU Chun-ying, LI Chun-li, HUANG Chao-jun, LIU Xiao-bo. Evaluation of the stroke patients based on modified early warning score and its comparison with traditional nursing evaluation[J]. Journal of Bengbu Medical University, 2022, 47(5): 685-687. DOI: 10.13898/j.cnki.issn.1000-2200.2022.05.032

    Evaluation of the stroke patients based on modified early warning score and its comparison with traditional nursing evaluation

    • Objective To evaluate the disease evaluation method of stroke patients based on modified early warning score, and compare it with traditional nursing evaluation method.
      Methods A total of 67 stroke patients in ICU from the neurology ward were set as the observation group, and the patients were observed and nursed using the disease evaluation method based on improved early warning score.Fifty-three stroke patients in ICU from general ward were set as the control group, and the patients were nursed using traditional vital sign measurement method.The number of vital signs measured by the nurse before 24 hours of admission to ICU, and the APACHE Ⅱ score within 24 hours in ICU and hospitalization time were compared between two groups.
      Results The number of measuring vital signs in 24 hours before transferring to ICU in observation group was higher than that in control group(P < 0.01).The APACHE Ⅱ score within 24 hours in ICU in observation group was lower than that in control group(P < 0.01).The hospitalization time in observation group was shorter than that in control group(P < 0.01).
      Conclusions The evaluation of the disease of stroke patients based on the modified early warning score in general wards can improve the frequency of nurses′ observation, timely predict the severity of patients condition and intervene, and shorten the length of stay.The application of this model is conducive to improve the quality of care.
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