【摘要】 目的 探討125I粒子植入治療中晚期胰腺癌的臨床并發癥及相關護理措施。 方法 回顧分析2006年10月-2010年4月121例行125I粒子植入治療的胰腺癌患者的臨床治療及護理，采取積極有效的護理措施，預防及處理并發癥，促進患者康復。 結果 121例患者接受放射性125I粒子植入治療后，7例出現胰瘺，13例出現胃腸道反應，經對癥處理和精心護理后均治愈。 結論 125I粒子組織間植入近距離治療中晚期胰腺癌近期療效好、安全、副反應少，良好的護理對改善中晚期胰腺癌患者預后具有重要意義。【Abstract】 Objective To observe the complications in patients with middle and advanced pancreatic carcinoma due to treatment of 125I particle implantation, and the investigate the proper nursing methods. Methods The clinical data including the therapy and nursing methods for the complications in 121 patients with middle and advanced pancreatic carcinoma due to treatment of 125I particle implantation from October 2006 to October 2010 were retrospectively analyzed. The treatment and care for complication were analyzed. Results In the 121 patients who had been treated by 125I particle, pancreatic fistula occurred in seven, and severe gastrointestinal upset was found in 13. The patients with the complications recovered after postoperative treatment and nursing. Conclusion 125I particle implantation for patients with middle and advanced pancreatic carcinoma is effective and safe with a few side reactions; proper nursing is important to improve the prognosis.
ObjectivesTo survey the features of reservation bed and investigate the factors of hospital operation which may affect the patient loyalty of reservation bed in large general hospital. MethodsAll patients who reserved bed before July 2013 in hospital service center of a large general hospital were investigated by questionnaire in telephone and collected the basic data. Measurement index was designed to conclude the characteristics of patient loyalty of reservation bed in different departments. Multivariate statistical analysis was used to analyze the influence factors of patient loyalty. ResultsIn the large general hospital, significant difference was found in patient loyalty of reservation bed in different departments. The diversity was mainly impacted by average waiting time of admission, cancelling waiting length, loyalty of patient inside the province, average length of stay, readmission rate on the day of discharge. ConclusionLarge general hospital should pay more attention to dynamic monitoring and disclosure of supply and demand information of bed resources, to improve the management of beds resources and optimize reservation system, to elevate patient's loyalty of reservation bed in hospital.
ObjectiveTo explore the model of sharing appointments between medical inspection resources in medical alliance hospitals in the medical profession, in order to improve the utilization efficiency of medical inspection resources and patient satisfaction, and to promote the effective implementation of intelligent services in medical alliance hospitals. MethodsBy analyzing the medical process of medical inspection appointments, and organizing the inspection appointment resources of each hospital according to the actual business characteristics of each hospital of the medical alliance by the unified medical inspection appointment platform. Through the unified big data platform, the business collaboration between the medical alliance hospitals and the sharing and scheduling of medical inspection resources among the hospitals of the medical alliance are realized. ResultsThe construction and use of the medical alliance unified inspection platform has realized the sharing and utilization of inspection resources between hospitals in the medical alliance, which is convenient for patients to choose their own inspection resources across hospitals when making an appointment for inspection, and further improves patient satisfaction. ConclusionThe unified medical appointment platform unifies the management of the medical alliance's appointment examination resources, which can not only effectively improve the utilization efficiency of medical inspection appointment resources, but also expand the effective scope of patients' choice of medical inspection appointments, and at the same time improve patient satisfaction and promote the construction of hospital intelligent services.
ObjectivesBased on the historical data of inpatients, a logistic regression model was established. It aimed to identify the influencing factors of patient's admission scheduling decisions and compare them with the actual scheduling rules, so as to discover the differences and deficiencies.MethodsWe extracted data of outpatients and inpatients in Department of Respiration in West China Hospital of Sichuan University from January 1st, 2016 to December 31st, 2016, and standardized the original dataset. We established the binary multivariate logistic regression model through R software and ‘glm’ package.ResultsThe analysis of multi-factor logistic regression showed that the effect of the five variables (type of medical insurance, time of registration, waiting time, type of disease and admission priority) on patient schedule was statistically significant.ConclusionsThe logistic regression model constructed in this study has a good effect on patient planning, which is helpful to provide decision support for admission schedule through identification factors.
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.