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Construction Of Risk Management Index System For Intensive Care Unit Patients Based On PDCA Cycle Mode

Posted on:2020-03-01Degree:MasterType:Thesis
Country:ChinaCandidate:X Y HuangFull Text:PDF
GTID:2404330575490496Subject:Nursing
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ObjectiveThis research is based on the literature,expert consultation and other research methods,based on the PDCA plan(plan),execution(do),check(check),processing(act)cycle model,with patient safety as the primary goal,build The risk management index system of the intensive care unit provides guidance and clinical reference for the nursing staff to grasp the safety management and prevention of the patient,and promote the continuous improvement and improvement of the quality of care..Methods1.The literature discusses the relevant risk factors for the intensive care unit patients and the theoretical connotation of the PDCA cycle pattern,ie plan,execution(do),check(check),and process(act).2.Through the Delphi expert consultation method,two authoritative experts conducted two rounds of enquiries,and 26 authoritative experts conducted two rounds of questionnaires.The experts' opinions were summarized,revised and analyzed to arrive at the final.Indicator system.3.SPSS20.0 statistical software was used for data analysis.At the same time,the reliability and validity of the questionnaire were tested.Cronbanch's ?coefficient was used to evaluate the significance of the mean value,standard deviation and coordination degree of expert opinions.Inspection analysis and collation,etc.,using descriptive statistical analysis methods to describe the general information of each expert,and using the weighted weight method todetermine the weight of each level of indicators,and finally preliminary drafting the risk management index system of the intensive care unit.Results1.In this study,the number of questionnaires issued by the two rounds of expert consultation questionnaires was 26,and the effective recovery rate was 100%.Experts' enthusiasm for research was generally high.The average importance of the indicators at all levels of the two rounds of experts' inquiries is greater than 0.30;after two rounds of experts' inquiries,the coefficient of variation of the indicators at all levels is less than 0.25;the authoritative coefficients of the experts in both rounds of correspondence are greater than 0.7;The opinion coordination coefficient(Kendall's W)of the expert's correspondence was close to 1,and the significance test was P<0.05.The Cronbanch's ? coefficient was0.852,the factor analysis KMO value was 0.927,and the questionnaire reliability was good.The survey results of this study were relatively stable,and the internal consistency was good,which was in line with the requirements of statistical data.2.Construct an intensive care unit risk management indicator system,including4 first-level indicators(plan,implementation,inspection,treatment),9secondary indicators(general conditions of critically ill patients,risk factors,establishment of institutional systems,etc.)43 three-level indicators(falling /falling bed,unplanned extubation,etc.).Conclusions1.Through the literature review,Delphi expert consultation and other methods,the PDCA cycle model is used as the theoretical basis of this research,and the risk management index system of the intensive care unit is constructed.2.In this study,the PDCA model was applied to the risk management of intensive care unit patients.The ICU inpatient risk management index system was initially constructed.The content of the index system is comprehensive and focused.The weight distribution is scientific and objective,and it is highlyscientific.Practicality and operability provide a reference for clinical practice applications of follow-up intensive care providers.
Keywords/Search Tags:PDCA Cycle, Emergency Intensive Care Unit, Hospitalized patient, Risk Management, Indicator system
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