Objective To verify the reliability and validity of a self-developed satisfaction evaluation questionnaire for outpatient department employees in public hospitals, and to provide suitable tools for conducting such surveys. Methods Two anonymous surveys were conducted on all employees of the Outpatient Department of West China Hospital of Sichuan University in July 2019 and November 2021, respectively. Questionnaire items were screened using methods such as item distribution, coefficient of variation, and decision value, and the reliability and validity of the questionnaire were evaluated using Spearman-Brown coefficient and Cronbach’s α coefficient, exploratory factor analysis, and confirmatory factor analysis. Results The final questionnaire retained 14 items, which could be divided into two dimensions: work conditions and interpersonal environment, and the overall fit index of structural equation model were as follows: χ2/ν=6.957, the standardized root mean square residual was 0.061, the root mean square error of approximation was 0.147, the goodness-of-fit index was 0.796, the adjusted goodness-of-fit index was 0.719, the normed fit index was 0.849, the relative fit index was 0.819, the incremental fit index was 0.868, the Tucker-Lewis Index was 0.841, and the comparative fit index was 0.867. The combined reliability of the two factors in the questionnaire was 0.94 and 0.91, respectively. The average variance extraction was 0.67 and 0.76, respectively, and the square root of the average variance extraction was 0.82 and 0.87, respectively, both of which were greater than the correlation coefficient of 0.71 between the two factors. The Spearman-Brown coefficient of the final questionnaire was 0.913, and the Cronbach’s α coefficients for the overall and two dimensions were 0.953, 0.937, and 0.910, respectively. Conclusion The reliability and validity of the satisfaction evaluation questionnaire for outpatient department employees in public hospitals are good and the questionnaire can be applied to practical surveys.
ObjectiveTo understand the situation of off-label use of aspirin among outpatients in Sun Yatsen Memorial Hospital, so as to provide baseline data for developing off-label drug use policy. MethodsA stratified random sampling method was used to collected prescription data of aspirin among outpatients in 2013. The incidence rates between different types of off-label use of aspirin were determined by chi-square test, and the influence factors of off-label drug use were analyzed by logistic regression model. ResultsA total of 5 023 prescriptions with aspirin were collected and analyzed, with incidence rate of off-label use up to 17.7%. The major category of off-label use was no indication (94.38%). The top 3 no indications were recurrent abortion, infertility and systemic lupus erythematosus. Drug specification, gender, age and prescribed department were the risk factors of off-label use. ConclusionAspirin off-label use is common among outpatients in Sun Yat-sen Memorial Hospital in 2013, especially in obstetrics and gynecology department and assisted reproductive center. The results suggest that more clinical studies about aspirin for reproduction are needed to provide more evidence of drug use, so as to ensure the safety of drug use in special populations and avoid potential medical risk.
Objective To optimize the environment of outpatient clinics in large hospitals, facilitate the patients’ visits and improve the comprehensive management level. Methods From September to November 2015, 2 hospitals in each part of a provincial city (middle, east, west, north and south), a total of 10 hospitals were chosed by convenient sampling method. The forms, types and distribution of outpatient navigation service system were investigated and analyzed by using a self-designed questionnaire. Results There were a total of 14 forms of counseling-guide services in the 10 hospitals. Just 1 hospital provided all the 14 forms of counseling-guide services, and 2 hospitals provided 13 forms of counseling-guide services, which were relatively complete. While the other 7 large hospitals provided only 4 to 6 forms of counseling-guide services, which were relatively simple. Conclusion Qualified outpatient navigation service system can help patients to receive more effective treatment, optimize the environment, highlighting the modern hospital humanistic service and the concept of intelligent service and scientific management.
ObjectiveTo explore the function of information system platform in the management of outpatient registration source. MethodsOn the basis of registration appointment system, we surveyed again on outpatients traffic between February 6th and 10th in 2012 to find out find out the disadvantages of outpatient service procedures. Certain measures were taken for improvement, especially the management of registration source. ResultsAfter improvement by certain measures, queuing phenomenon and the degree of congestion in the waiting area were improved. To some extent, the satisfaction of patients and doctors was raised from 91% to 93%. ConclusionStandardizing outpatient administration and behavior of patients by information system platform has a good effect and is worth promoting.
Objective To accurately predict the outpatient and emergency visits of a district-level public hospital based on autoregressive integrated moving average (ARIMA) model, providing important basis for hospital budget planning and operational decisions. Methods The monthly outpatient and emergency visits of a public hospital in Shuangliu District, Chengdu City from January 2012 to November 2023 were collected, and R 4.3.1 software was used to establish an ARIMA model based on the data from January 2012 to December 2022. The outpatient and emergency visits from January to November 2023 were predicted and validated. Results Except for January and March 2023, every monthly number of predicted outpatient and emergency visits for 2023 matched the actual one relatively well. The average absolute percentage error for January to November 2023 was 8.504%. The actual total number of outpatient and emergency visits from January to November 2023 was 1441960, and the predicted value was 1417130 with a relative error of –1.722%. Conclusions ARIMA model can predict the outpatient and emergency visits of district-level hospitals relatively well. However, factors such as the high incidence of COVID-19 may affect the accuracy of short-term prediction.
The outpatient multi-disciplinary team (MDT) model is an important measure to improve the quality of medical services and enhance patients’ medical experience. The Second Affiliated Hospital of Zhejiang University School of Medicine has explored three types of outpatient MDT models, namely specialized disease model, self-service model, and professor team model, in order to improve the accessibility and coverage of outpatient MDT. Through practice, it has been found that the implementation of multi-type outpatient MDT models can further leverage the advantages of MDT in society, hospitals, and patients. This article will share the experience of building multi-type outpatient multi-disciplinary team models mentioned above.
Objective To understand the outpatients, evaluation and demands of the real-name registration system. To implement the new medical reform program deeply. Methods We used the questionnaire named registration questionnaire of West China Hospital designed by ourselves to survey the outpatients and their family members and were filled in the questionnaire by themselves. Results Firstly, real-name registration system in West China Hospital made major contribution to alleviate the difficulties of registration and medical treatment. It achieved a major breakthrough and created a good social benefit. Secondly, patients the most favourite way of registration was by phone. They were satisfied with the platform of the social welfare services very much. Thirdly, the number of appointment registration arrived year by year, while the number of the day registration fell year by year. Conclusion Firstly, we innovate the form of the realname registration system, refine service and do scientific management at the needs of the patient-oriented. Secondly, we strengthen the track of the failure of appointment registration and analyze the causes. We should take measures timely to reduce the rate of the event and improve the real-name registration system. Thirdly, we strengthen the management of the out-patient doctor visiting program and credit services, to improve medical compliance rate and protect the interests of the patients. Fourthly, we explore a scientific research of out-patient real-name registration system to establish a modern hospital out-patient services model.
After 5?12 When Chuan earthquake,The third hospital of Mianyang which is the nearest hospital of severely afflicted area recived 1 804 wounded persons.We aimed to summarize the achievement and limitation in management of medical rescue, medical treatment of the wounded and logistical support. Hospital shouled set up a special medical rescue system to relieve the sufferings of victims of unexpected natural calamities which include staff training, reserve supplies,psychological intervention of the wounded and safeguard of the rescuers.
ObjectiveTo understand the current situation of outpatient service, strengthen outpatient physicians management, maintain outpatient clinical order, and improve the credibility and service quality of public hospitals.MethodsThe measures such as deepening the supply-side reform of outpatient service, strengthening the awareness of integrity service, regulating suspending or substituting diagnosis service management, and optimizing doctors’ scheduling were performed to improve the outpatient service plan management since 2012. The data of outpatient diagnosis and treatment and doctor appraisals from 2013 to 2016 were retrospectively collected from hospital information system, combined with the third party satisfaction data; and the rates of suspending and substituting of outpatient service, clinical service time distribution for doctors at all levels, proportion of appointment register, and the average satisfaction index were analyzed.ResultsThe rates of suspending and substituting of clinical service reduced from 5.8% and 6.4% in 2013 to 2.5% and 4.1% in 2016, respectively, and the differences were statistically significant (P<0.05); the proportion of outpatient physicians with vice-senior title or above from 2014 to 2016 was lower than that in 2013, with the decrease from 81.0% in the morning and 73.0% in the afternoon to 75.9% and 69.1%, respectively; the proportion of appointment register increased from 54.7% in 2013 to 68.2% in 2016; the patients’ satisfaction was higher in 2016 than that in 2015.ConclusionThe outpatient service management of large general hospitals should be patients’ needs-oriented; with the awareness of integrity service, regulating the approval system of suspending or substituting of outpatient service, improving the pre-arranged planning for suspending service, optimizing the qualification admittance system, and improving the regular appraisal system, may effectively solve the problems of unbalanced outpatient physicians resources and service, maintain the good order of medical service, improve medical care quality, and raise patients satisfaction.
Objective To analyze outpatient pharmacy internal prescription dispensing errors list and raise suggestions on preventive measures, in order to provide better and safer medical service for patients. Methods We summarized and analyzed the prescription dispensing error types and causes based on 320 cases of internal prescription dispensing errors of the outpatient pharmacy in a hospital of the highest rank between January and June 2014. Then, we put forward suggestions on improvement measures. Six months after the implementation of these measures, we compared the error rate after dispensing between January and June 2014 with those between July and December 2014. Results Among all the 320 prescription dispensing errors, 120 (37.50%) were wrong medication amount, 101 (31.57%) were wrong drugs, 76 (23.75%) were wrong usage and dosage, 17 (5.31%) were wrong packaging specification, and 6 (1.87%) were wrong medication form. The dispensing error rate between July and December 2014 was reduced compared with the rate between January and June 2014. The error rate after dispensing declined from 0.01‰ to 0.006‰. Conclusion Encouraging drug dispensing personnel to issue internal dispensing error recording list for the staff who had errors in dispensing, promoting pharmacists’ professional quality, strengthening the management of outpatient pharmacy, reasonable storage of medicines, enhancing intervention of irrational prescriptions, improving the spatial layout of the pharmacy, and perfecting dispensing error management system, can in a large extent reduce medication errors.