ABSTRACT
Objective:To explore the application of effect of healthcare failure mode and effect analysis (HFMEA) in emergency waiting risk management.Methods:From May 2020 to April 2021, totally 87 902 emergency waiting patients from the First Affiliated Hospital of Anhui Medical University were assigned to control group by cluster sampling method. From May 2021 to April 2022, 80 594 emergency waiting patients were assigned to observed group. The patients in the control group received routine emergency waiting of itinerant management mode. In contrast, the patients in the observed group received emergency waiting risk management mode based on HFMEA. The process risk priority number (RPN) and waiting risk management index between two groups were compared.Results:The mean RPN of the observed group was (98.48 ± 8.27) points, significantly lower than that of the control group (251.27 ± 16.95) points. The nurses′ pre-identification rates of changes in the condition and adverse reaction in the observed group were 10.77%(8680/80 594) and 13.37%(10 775/80 594), which were higher than those in the control group, 5.77%(5072/87 902) and 8.12%(7134/87 902), the differences were statistically significant ( χ2 values were 1402.32 and 1221.66, all P<0.05). Conclusions:The application of HFMEA to optimize the emergency waiting management process can effectively reduce the risk of emergency waiting and improve the quality of emergency waiting management.
ABSTRACT
In the absence of a price mechanism, emergency department waiting times act as a rationing device to equate demand for treatment with available supply. Sustained increases to demand stemming from population growth, aging populations, and rising comorbidities has caused waiting times internationally to rise. This has resulted in increased calls for higher funding from governments and commitments from both state and national governments to address excessive waiting times. This paper aims to determine the effectiveness of government funding for improving the median waiting times for treatment and the proportion of patients seen within clinically recommended waiting times. For this purpose, an econometric analysis was conducted on a panel of data on Victorian local health networks over the period 2015-2018. This is supplemented with a discussion of the alternative measures which governments might take to both address demand for emergency treatment, and also ensure that waiting time reductions can be maintained over the long-term.
Subject(s)
Emergency Service, Hospital , Waiting Lists , Government , Hospitals , Humans , Time FactorsABSTRACT
BACKGROUND: One of the most substantial factors affecting patient satisfaction in the Obstetrics-Gynecology and Children's Hospital is the wait time in the emergency room. OBJECTIVE: We retrospectively studied the waiting periods of patients visiting the emergency room patients in Bolu Izzet Baysal Obstetrics-Gynecology and Children's hospital. METHOD: Using an automated documentation system for each patient that recorded the season in which the patients consulted the emergency room, the month, day, time, examination time, hospitalization decision time, the hospitalization clinic following the decision to hospitalize, and the time to hospitalization, we retrospectively studied the waiting periods of emergency room patients in Bolu Ýzzet Baysal Obstetrics-Gynecology and Children's Hospital. RESULTS: A total of 15,004 patients who consulted the hospital emergency room between November 24, 2009, and August 25, 2011, and who were hospitalized in a clinic were included in this study. The highest frequency of emergency room patient visits occurred during the summer season (28.1%), in the month of July (10.2%), on Mondays (16.1%), and between 8 and 11 AM (22.1%; p < 0.05). The emergency room wait time of patients consulting the pediatric clinic was (55 ± 67 min), which was significantly shorter than the wait time of patients consulting other clinics (p < 0.05). CONCLUSION: The majority of patients who were hospitalized in any clinic through the emergency room consulted the hospital during the daytime hours. The time to hospitalization for the admitted patients was within an acceptable time frame. We believe that conducting comprehensive research to determine whether it is possible to reduce wait times even further to increase patient satisfaction will be instructive.
