目的:比较早期预警评分(EWS)和改良早期预警评分(MEWS)预测急诊住院患者死亡风险的能力。方法:随机抽取409名四川大学华西医院急诊住院患者,采用EWS和MEWS对患者进行评分,使用ROC曲线比较两者预测急诊住院患者死亡风险的能力。结果:EWS预测患者住院的曲线面积为0.849±0.132,其最佳截断值为4分;MEWS预测急诊患者住院的曲线下面积为0.876±0.124,其最佳截断值为5分。结论:MEWS较EWS对于预测急诊住院患者死亡风险有较高的效能,还可以进一步改进提高其预测能力。
Objective To investigate disease constitution of elderly inpatient in the Xuanwu Hospital, Capital Medical University in Beijing in 2011, so as to provide baseline data for further study. Methods Elderly (patients no less than 60 years old) inpatients’ records in the Xuanwu Hospital, Capital Medical University in 2011 were collected. Based on all the diagnosis on hospital discharge records, the diseases were standardized and classified according to the International Classification of Disease, 10th Edition (ICD-10). Data (including general information of the inpatients, all discharge diagnosis, and the distribution of disease type, age and sex) were analyzed through descriptive analysis using Microsoft Excel 2007 software. SPSS 17.0 software was performed for hypothesis test. Results a) The total numbers of elderly inpatients were 13 807 in 2011, accounting for 39.79% of all the inpatients. Males were more than females (male: female=1.26 to 1). The average kind of disease each patient was diagnosed with was 4.41, ranging from 1 to 11. b) The disease spectrum of patients with one disease was nervous system diseases, neoplasms, and digestive system diseases. The primary and secondary diseases of patients with two diseases were mostly circulatory system diseases. c) All the diagnosis included 18 categories, the top 7 were circulatory system diseases, endocrine, nutritional and metabolic diseases, digestive system diseases, respiratory system diseases, and nervous system diseases, accounting for 83.4% of all the diagnosis. The primary diagnosis included 18 categories, the top 5 were circulatory system diseases, neoplasms, digestive system diseases, respiratory system diseases, and nervous system diseases, accounting for 68.6% of all the elderly inpatients. d) In the circulatory system diseases, the top 5 diseases were cerebral infarction, occlusion and stenosis of precerebral arteries, not resulting in cerebral infarction, angina pectoris, acute myocardial infarction, atherosclerosis, chronic ischaemic heart disease, accounting for 69.8% of all the circulatory system diseases patients. Diseases in different age and gender group were cerebral infarction, angina, acute myocardial infarction, and chronic ischemic heart disease (Plt;0.05). Conclusion The disease constitution of the Xuanwu Hospital, Capital Medical University is complex, and the primary diagnosis is mainly circulatory system diseases. It can be concluded that in the following studies attention should be paid to drug utilization of circulatory system diseases, so as to provide evidence for making the China specific potentially inappropriate medicine list and disease prevention for the elderly.
ObjectivesTo analyze the epidemiological characteristics of inpatients with skin cancer in China.MethodsThe medical records of all inpatients with skin cancer in second-level and above hospitals in China from 2015 to 2017 were collected, and the demographic characteristics and regional distribution of inpatients were retrospectively analyzed.ResultsFrom 2015 to 2017, the quantity of inpatients with skin cancer in China increased annually. The ratio of male to female was 1.09 to 1, individuals aged 60 to 70 were high incidence age group, and the occupation was primarily farmers. Guangdong province had the largest quantity of inpatients. Among geographic regions, the proportion of inpatients in East China was the largest (34.20%). Among economic regions, the proportion of inpatients in the east was the largest (45.86%).ConclusionsThe quantity of inpatients with skin cancer in China is on the rise, and there are obvious spatial differences. Therefore, more attention should be paid to the prevention and treatment of skin cancer.
ObjectiveTo improve activities of daily living (referring to Barthel Index) in the older inpatients.MethodsIn January 2016, a quality control circle (QCC) was established. According to 10 steps in activity of QCC, we figured out the causes of low Barthel Index score in older inpatients by using Plato method and Fishbone Diagram which were common methods of QCC. In addition, we designed and implemented a rectification program to improve Barthel Index score.ResultsAfter intervention of QCC, the average Barthel Index score of the older inpatients increased from 72.40±6.42 to 89.30±5.87 with a statistical difference (P<0.01); the satisfaction percent of hospitalized patients increased from 94.5% to 98.7% with a statistical difference (P<0.01). The percentage of registered nurses whose theoretical test score were over 90 increased from 57% to 88% (P<0.01) and the satisfaction percent of nurses increased from 90.5% to 95.6% (P<0.01). Moreover, the member’s ability of learning, discovery, analysis and problem solving, communication, application of QCC skills were improved.ConclusionThe application of QCC activities will increase older inpatients’ Barthel Index score, improve the satisfaction of patients and nursing staff, and enhance the members’ ability of solving problems by using QCC skills.
ObjectiveTo explore the influence factors on inpatients' satisfaction, in order to identify influence factors for improving inpatients' satisfaction. MethodsA sampling survey was conducted in hospitals at different levels in Sichuan province. The satisfaction of inpatients in these hospitals was investigated by self-designed questionnaire. Then, a structural equation model on influence factors of satisfaction was constructed. ResultsA total of 1 237 inpatients from 12 hospitals were surveyed. The total satisfaction of these patients was 82.14%. The patients' satisfaction of grade A tertiary hospital in Chengdu city was obviously lower than that of the prefecture- and county-level hospitals (all P values <0.05). The fitting degree of structural equation model was good; Inpatients' satisfaction was mainly influenced by 5 factors including hospital values (HV), service quality of doctors and nurses (SQ), service process (SP), convenience of resources (CR) and comfort of facilities (CF). Of the 5 factors, the HV and SQ respectively ranked the 1st and 2nd to the influence degree on satisfaction. ConclusionThis study identifies the key influence factors on inpatients' satisfaction. Specific measures should be taken by hospital administrators to improve the quality of medical services and the satisfaction of inpatients.
Wearable monitoring, which has the advantages of continuous monitoring for a long time with low physiological and psychological load, represents a future development direction of monitoring technology. Based on wearable physiological monitoring technology, combined with Internet of Things (IoT) and artificial intelligence technology, this paper has developed an intelligent monitoring system, including wearable hardware, ward Internet of Things platform, continuous physiological data analysis algorithm and software. We explored the clinical value of continuous physiological data using this system through a lot of clinical practices. And four value points were given, namely, real-time monitoring, disease assessment, prediction and early warning, and rehabilitation training. Depending on the real clinical environment, we explored the mode of applying wearable technology in general ward monitoring, cardiopulmonary rehabilitation, and integrated monitoring inside and outside the hospital. The research results show that this monitoring system can be effectively used for monitoring of patients in hospital, evaluation and training of patients’ cardiopulmonary function, and management of patients outside hospital.