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Lin, Zheng, Shen, Zheng, and Wu: Survey and Analysis of Current State of Ventilator Alarms in the Intensive Care Unit


        calculation of meaningful alarms rate per day is shown   Alarm management is teamwork. All stakeholders includ-
        in Table 3.                                             ing hospital leadership, medical staff, clinical engineers,
           The rate of meaningful alarms was 73.16% of all      manufacturers, and independent service organizations
        alarms generated. This included those alarms that really   should participate. We suggest the following strategies:
        reflect the changes of patient condition which need the    •  First, urge manufacturers to improve the quality and
        clinician’s quick attendance or those technical alarms       reliability of equipment and improve the design of
        for equipment malfunction that require correction im-        alarm system.
        mediately or soon. Yet, the alarms that required clinician   •  Second, assure clinical engineering staff to perform
        medical intervention reached only 2.26%. There is quite      service and preventive maintenance of relevant medi-
        a large proportion of meaningless alarms, which consists     cal equipment timely and appropriately.
        of 26.84% of all alarms generated. This indicates that the
                                                                   •  Third, strengthen user training in terms of medical
        alarm conditions should and could be improved greatly.
                                                                     equipment operation as well as alarm management
        Reliability Test                                             including setting alarm limits appropriately.
           Reliability refers to the degree of questionnaire re-   •  Fourth, develop and apply alarm integration and
        sults repeatability. The coefficient of Cronbach’s Alpha is   management systems based on IT technology.
        between 0 and 1, and the larger the value, the better the
        relevance of the items in the questionnaire and the higher                ConClUsIons
                                      10
        the degree of internal consistency.  In general, the internal
                                                                   The article aims are a survey and analysis of the current
        consistency is considered excellent, good, or poor accord-
                                                                state of ventilator alarms in an ICU. The results show that
        ingly if the coefficient of Cronbach’s Alpha is greater than
                                                                the current ventilator alarm management in the ICU needs

        0.8, within 0.6~0.8, and less than 0.6 respectively. Using
                                                                to be improved. As well. collaboration among clinicians,
        the SPSS19.0 software to analyze the experimental data,
                                                                clinical engineering staff, and ventilator manufacturer is
        the results show that the Cronbach’s Alpha coefficient of
                                                                important and necessary in terms of providing a better
        our survey is 0.915, which indicates that the statistical
                                                                solution based on training, smart alarm design, and alarm
        experiment is credible and statistically significant.
                                                                integration management.
                                                                   We believe the methodology mentioned in this paper
                           DIsCUssIon
                                                                is not only suitable for SLE5000 ventilator alarms infor-
           The survey uses the designed form to collect and analyze   mation survey and assessment, but also could be used as
        the state of the SLE5000 ventilator alarms management.   reference for other types of ventilators or medical equip-
        There were 486 recorded alarm events collected over a   ment such as monitors, infusion pumps, etc. Nevertheless,
        time period of 10 days. Though we believe the survey only   the systematic management of all instruments’ alarm is a
        collect the most common relevant alarms occurring, the   complex project. Further research is needed to learn best
        actual alarms generated by a ventilator may be higher   practices of other facilities currently and into the future.
        than this survey collected. Yet, the internal consistency
        reliability of the 10 days’ survey data is analyzed by
                                                                              ACKnoWleDGeMent
        SPSS19.0 software and it shows overall survey data are
                                                                   We would like to extend our sincere gratitude to Dr.
        solid and strong.
                                                                Yadin David, director of Health Technology Task Group
           Survey results show that 26.84% of the alarm data is
                                                                IUPESM, for his comments and suggestions. We are also
        meaningless alarms, which means that those alarms did
                                                                deeply indebted to our other clinical engineering staff and
        not contribute to better patient management and could
                                                                NICU physicians and nurses who helped us to complete
        have been avoided in the first place. Even some of those
                                                                this survey.
        classified as meaningful alarms, in particular some techni-
        cal alarms, there is still room to reduce their occurrence.




        J Global Clinical Engineering Special Issue 1: 37-41; 2018                                                  40
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