2020Journal of Clinical and Nursing ResearchOpen access

Observations on the Application of Nursing Risk Management in the Care of Critically Ill Patients in the Respiratory Unit

Yannan Sun

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Abstract

Objective: Investigate the effectiveness of nursing risk management in the care of critically ill patients in the respiratory unit. Methods: Among the critically ill respiratory patients admitted to our hospital between May 2019 and April 2020, 78 patients were randomly selected and divided into an observation group and a control group, each consisting of 39 patients. In the observation group, a nursing risk management model was implemented, i.e., patients' clinical symptoms were observed at any time to monitor their treatment satisfaction and the effectiveness of their care and routine care was implemented for the control group. Results: The heart rate, respiratory rate, and pH of patients in the observation group were more stable than those in the control group, and their respiratory status was better, with differences in data. There was also significant statistical significance (P<0.05). The incidence of patient-provider disputes, unplanned extubation, and unplanned events were lower in the observation group compared to the control group, and their data difference was statistically significant (P<0.05). The treatment satisfaction as well as the total effective rate of patients in the observation group was also much higher than that of the control group, and there was also a statistically significant difference in the data (P<0.05). Conclusion: The nursing risk management model has a significant therapeutic effect in the care of critically ill respiratory patients. Therefore, it is worth popularizing to use in the clinical nursing of respiratory critical patients.

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Objective: Investigate the effectiveness of nursing risk management in the care of critically ill patients in the respiratory unit. Methods: Among the critically ill respiratory patients admitted to our hospital between May 2019 and April 2020, 78 patients were randomly selected and divided into an observation group and a control group, each consisting of 39 patients. In the observation group, a nursing risk management model was implemented, i.e., patients' clinical symptoms were observed at any time to monitor their treatment satisfaction and the effectiveness of their care and routine care was implemented for the control group. Results: The heart rate, respiratory rate, and pH of patients in the observation group were more stable than those in the control group, and their respiratory status was better, with differences in data. There was also significant statistical significance (P<0.05). The incidence of patient-provider disputes, unplanned extubation, and unplanned events were lower in the observation group compared to the control group, and their data difference was statistically significant (P<0.05). The treatment satisfaction as well as the total effective rate of patients in the observation group was also much higher than that of the control group, and there was also a statistically significant difference in the data (P<0.05). Conclusion: The nursing risk management model has a significant therapeutic effect in the care of critically ill respiratory patients. Therefore, it is worth popularizing to use in the clinical nursing of respiratory critical patients.

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Available abstract

Objective: Investigate the effectiveness of nursing risk management in the care of critically ill patients in the respiratory unit. Methods: Among the critically ill respiratory patients admitted to our hospital between May 2019 and April 2020, 78 patients were randomly selected and divided into an observation group and a control group, each consisting of 39 patients. In the observation group, a nursing risk management model was implemented, i.e., patients' clinical symptoms were observed at any time to monitor their treatment satisfaction and the effectiveness of their care and routine care was implemented for the control group. Results: The heart rate, respiratory rate, and pH of patients in the observation group were more stable than those in the control group, and their respiratory status was better, with differences in data. There was also significant statistical significance (P<0.05). The incidence of patient-provider disputes, unplanned extubation, and unplanned events were lower in the observation group compared to the control group, and their data difference was statistically significant (P<0.05). The treatment satisfaction as well as the total effective rate of patients in the observation group was also much higher than that of the control group, and there was also a statistically significant difference in the data (P<0.05). Conclusion: The nursing risk management model has a significant therapeutic effect in the care of critically ill respiratory patients. Therefore, it is worth popularizing to use in the clinical nursing of respiratory critical patients.

Key concepts: Medicine, Intensive care unit, Incidence (geometry), Critically ill, Nursing care, Intensive care medicine, Respiratory system, Statistical significance

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