Based on the theories of the Government Regulation and Administrative Licensure, aiming at the current situations of medical device registration system in China, some policy suggestions for future reform and improvement were provided as follows. (1) change the concepts of medical device registration administration. (2) perfect the regulations of medical device registration administration. (3) reform the medical device review organizational system. (4) Optimize the procedure of review and approval. (5) set up and maintain a professional team of review and approval staff. (6) reinforce the post-marketing supervision of medical devices. (7) foster and bring into play of the role of non-government organizations.
China ; Device Approval ; legislation & jurisprudence ; Equipment and Supplies ; Health Facility Administration

OBJECTIVETo explore the relationship between the strength of tobacco control and the effectiveness of creating smoke-free hospital, and summarize the main factors that affect the program of creating smoke-free hospitals.

METHODSA total of 210 hospitals from 7 provinces/municipalities directly under the central government were enrolled in this study using stratified random sampling method. Principle component analysis and regression analysis were conducted to analyze the strength of tobacco control and the effectiveness of creating smoke-free hospitals.

RESULTSTwo principal components were extracted in the strength of tobacco control index, which respectively reflected the tobacco control policies and efforts, and the willingness and leadership of hospital managers regarding tobacco control. The regression analysis indicated that only the first principal component was significantly correlated with the progression in creating smoke-free hospital (P<0.001), i.e. hospitals with higher scores on the first principal component had better achievements in smoke-free environment creation.

CONCLUSIONSTobacco control policies and efforts are critical in creating smoke-free hospitals. The principal component analysis provides a comprehensive and objective tool for evaluating the creation of smoke-free hospitals.

PURPOSE: This study was done to build and verify a model of clinical nurses' turnover intention using organizational characteristics, job satisfaction and job embeddedness. METHODS: The study participants were 389 hospital nurses. SPSS and AMOS 22.0 program were used to analyze the data and the modeling of turnover intention. RESULTS: A total of 41% of turnover intention was explained by job satisfaction, job embeddedness and organizational characteristics. Nurses with higher job satisfaction and job embeddedness showed lower turnover intention, while organizational characteristics had an indirect effect on their turnover intention. It was found that organizational characteristics had positive effects on both job satisfaction and job embeddedness, and job embeddedness played a mediating role between organizational characteristics and turnover intention. CONCLUSION: To reduce nurses' turnover intention, hospitals' organizational characteristics should be considered. Nurse managers should strive to increase nurses' job satisfaction and job embeddedness through an understanding of the factors of organizational characteristics such as organizational fairness, nursing work environment, motivation, organizational citizenship behavior, and transformational leadership.
Health Facility Environment ; Humans ; Intention* ; Job Satisfaction* ; Leadership ; Models, Structural* ; Motivation ; Negotiating ; Nurse Administrators ; Nursing ; Organization and Administration ; Personnel Turnover

PURPOSE: This study was designed to search for nursing intervention strategies centering around the meaning structure of the nurse's turnover experience by applying phenomenological methods. METHODS: The participants were 6 nurses in small and medium sized hospitals who had experienced at least 1 turnover. Data were collected used MP3 records. The data analysis was done by Giorgi (1985) method. RESULTS: The results were divided into the following categories: 1) Careless decision: wrong decisions, imprudent desire, insufficient patience, unclear future, 2) Inappropriate working environment: irregular working hours, high workload, poor working environment, insufficient understanding of related divisions, lack of opinion collection, low salary, 3) Interpersonal relations problems: discord with colleagues, difficulty in relationships with others, difficulty in daily lives, 4) Lack of specialization: feeling of inertia, lack of role identification, lack of self identification, 5) Inappropriate coping: regret with clinical challenges, difficulty with a new environment, repentance, expectation, relative humility, 6) New self-dignity: expectation, new challenge, relaxing lives, decisions based on future-oriented confidence. CONCLUSION: The finding of this study will offer profound information on the nurse's turnover experience and provide basic raw materials for improving the quality of nursing performance and contribute to the development of hospital organization.
Adaptation, Psychological ; Career Mobility ; Health Facility Environment ; Humans ; Job Satisfaction ; Nursing Staff, Hospital/organization & administration/*psychology ; Personal Satisfaction ; *Personnel Turnover ; Salaries and Fringe Benefits ; Workload ; Workplace

The major objective of this research is to identify those hospital characteristics that best explain cost variation among hospitals and to formulate linear models that can predict hospital costs. Specific emphasis is placed on hospital output, that is, the identification of diagnosis related patient groups (DRGs) which are medically meaningful and demonstrate similar patterns of hospital resource consumption. A casemix index is developed based on the DRGs identified. Considering the common problems encountered in previous hospital cost research, the following study requirements are established for fulfilling the objectives of this research: 1. Selection of hospitals that exercise similar medical and fiscal practices. 2. Identification of an appropriate data collection mechanism in which demographic and medical characteristics of individual patients as well as accurate and comparable cost information can be derived. 3. Development of a patient classification system in which all the patients treated in hospitals are able to be split into mutually exclusive categories with consistent and stable patterns of resource consumption. 4. Development of a cost finding mechanism through which patient groups' costs can be made comparable across hospitals. A data set of Medicare patients prepared by the Social Security Administration was selected for the study analysis. The data set contained 27,229 record abstracts of Medicare patients discharged from all but one short-term general hospital in Connecticut during the period from January 1, 1971, to December 31, 1972. Each record abstract contained demographic and diagnostic information, as well as charges for specific medical services received. The "AUTOGRP System" was used to generate 198 DRGs in which the entire range of Medicare patients were split into mutually exclusive categories, each of which shows a consistent and stable pattern of resource consumption. The "Departmental Method" was used to generate cost information for the groups of Medicare patients that would be comparable across hospitals. To fulfill the study objectives, an extensive analysis was conducted in the following areas: 1. Analysis of DRGs: in which the level of resource use of each DRG was determined, the length of stay or death rate of each DRG in relation to resource use was characterized, and underlying pattern of the relationships among DRG costs were explained. 2. Exploration of resource use profiles of hospitals; in which the magnitude of differences in the resource uses or death rates incurred in the treatment of Medicare patients among this study hospitals was explored. 3. Casemix analysis; in which four types of casemix-related indices were generated, and the significance of these indices in the explanation of hospital costs was examined. 4. Formulation of linear models to predict hospital costs of Medicare patients; in which nine independent variables(i.e., casemix index, hospital size, complexity of service, teaching activity, location, casemix-adjusted death rate index, occupancy rate, and casemix-adjusted length of stay index) were used for determining factors in hospital costs. Results from the study analysis indicated that: 1. The system of 198 DRGs for Medicare patient classification was demonstrated not only as a strong tool for determining the pattern of hospital resource utilization of Medicare patients, but also for categorizing patients by their severity of illness. 2. The weighted mean total case cost(TOTC) of the study hospitals for Medicare patients during the study years was $1127.02 with a standard deviation of $117.20. The hospital with the highest average TOTC ($1538.15) was 2.08 times more expensive than the hospital with the lowest average TOTC ($745.45). The weighted mean per total cost (DTOC) of the study hospitals for Medicare patients during the study years was $107.98 with a standard deviation of $15.18. The hospital with the highest average DTOC ($147.23) was 1.87 times more expensive than the lowest average DTOC($78.49). 3. The linear models for each of the six types of hospital costs were formulated using the casemix index and the eight other hospital variables as the determinants. These models explained variable to the extent of 68.7 percent of total case cost (TOTC), 63.5 percent of room and board cost (RMC), 66.2 percent of total ancillary service cost (TANC), 66.3 percent of per diem total cost (DTOC), 56.9 percent of per diem room and board cost (DRMC), and 65.5 percent of per diem ancillary service cost (DTANC). The casemix index alone explained approximately one half of inter-hospital cost variation; 59.1 percent for TOTC and 44.3 percent for DTOC. These results demonstrate that the casemix index is the most important determinant of inter-hospital cost variation. Future research and policy implications in regard to the results of this study is envisioned in the following three areas: 1. Utilization of casemix-related indices in the Medicare data systems. 2. Refinement of data for hospital cost evaluation. 3. Development of a system for reimbursement and cost control in hospitals.
Classification ; Connecticut ; Cost Control ; Data Collection ; Dataset ; Diagnosis ; Diagnosis-Related Groups ; Health Facility Size ; Hospital Costs* ; Hospitals, General ; Humans ; Information Systems ; Length of Stay ; Linear Models ; Medicare ; Mortality ; Population Characteristics* ; United States Social Security Administration

BACKGROUND: Obtaining and utilizing the feed-backs from residents who have finished four year of anesthesia residency could well contribute to improvement in training program. Therefore authors have designed a self questionnaire to analyze the degrees or measures of satisfaction from such training program and data were evaluated to provide,in future,the guideline which would improve the quality of the training program. METHODS: The self-questionnaires were sent to residents(n=148),who have been through the entire four year of residency training courses under anesthesia department. The assessment was conducted to measure the degree of satisfaction based on several variables such as motivation, selection of anesthesiology as a first choice, type of training hospital, and sex. To evaluate the current problems of anesthesia residency program, we made 30 open-ended and close-ended questions. Data analysis was made using Fishers exaet test. RESULTS: There were no statistically significant difference between the degree of satisfaction and their motivation for choosing anesthesia, anesthesia as a major, selection of anesthesiology as a first choice, and types of hospitals. As for the difference in satisfaction of training, male residents showed significantly higher satisfaction rate( n=92, 36.2%) than female residents(n=47, 17%). CONCLUSIONS: These results suggest that degrees of satisfaction was more likely related to the program of each training hospital and sex compared to other variables studied.
Anesthesia Department, Hospital ; Anesthesia* ; Anesthesiology ; Education ; Female ; Humans ; Internship and Residency* ; Male ; Motivation ; Surveys and Questionnaires ; Statistics as Topic

PURPOSE: The cancellation of reception in emergency department (ED) in Korea is similar to leaving without being seen in another country. But there are differences. We studied the actual conditions and reasons for cancellation of reception in the ED in each of several hospitals. METHODS: Thirty-six emergency centers and one hundred sixty-seven emergency physicians participated in this survey. We obtained information through a questionnaire about total hospital bed counts, emergency center bed counts, number of emergency physicians, number of cancellations of reception for one day, and emergency physicians' opinions about cancellation of reception. Also, we prospectively investigated reasons for cancellation of reception for emergency physicians and patients. We recorded the reason for cancellation of reception at the time of cancellation and then interviewed the patient by telephone within 10 days after their leaving the ED. RESULTS: Nine regional emergency centers, three specialized emergency centers, twenty-two local emergency centers and two local emergency facilities were involved in this study. We surveyed patient cancellation of reception from August 1, 2008, to October 31, 2008 in our hospital. The results of our study were variable but the average of cancellation of reception was 10% of all ED patients. The most common reason for cancellation of reception was the emergency physician sending the patient to an outpatient clinic, typically because they thought the patient had mild symptoms. The most common reasons causing emergency physicians to think about cancellation of reception were mild symptoms and too long a delay time. There was a significant difference of opinion between emergency physician and patient regarding cancellation of reception (p<0.01). The emergency physicians considered the reasons to be patient factors, while the patients considered the reasons to be doctor-related factors. CONCLUSION: There are many adverse effects from cancellation of reception in an ED for both emergency physicians and patients. We should considered methods for developing a consensus on ways to improve the situation.
Admitting Department, Hospital ; Ambulatory Care Facilities ; Consensus ; Emergencies ; Emergency Service, Hospital ; Humans ; Korea ; Patient Dropouts ; Prospective Studies ; Surveys and Questionnaires ; Telephone

OBJECTIVES: To reveal differences in drug-drug interaction (DDI) alerts and the reasons for alert overrides between admitting departments. METHODS: A retrospective observational study was performed using longitudinal Electronic Health Record (EHR) data and information from an alert and logging system. Adult patients hospitalized in the emergency department (ED) and general ward (GW) during a 46-month period were included. For qualitative analyses, we manually reviewed all reasons for alert overrides, which were recorded as free text in the EHRs. RESULTS: Among 14,780,519 prescriptions, 51,864 had alerts for DDIs (0.35%; 1.32% in the ED and 0.23% in the GW). The alert override rate was higher in the ED (94.0%) than in the GW (57.0%) (p < 0.001). In an analysis of the study population, including ED and GW patients, 'clinically irrelevant alert' (52.0%) was the most common reason for override, followed by 'benefit assessed to be greater than the risk' (31.1%) and 'others' (17.3%). The frequency of alert overrides was highest for anti-inflammatory and anti-rheumatic drugs (89%). In a sub-analysis of the population, 'clinically irrelevant alert' was the most common reason for alert overrides in the ED (69.3%), and 'benefit assessed to be greater than the risk' was the most common reason in the GW (61.4%). CONCLUSIONS: We confirmed that the DDI alerts and the reasons for alert overrides differed by admitting department. Different strategies may be efficient for each admitting department.
Admitting Department, Hospital* ; Adult ; Antirheumatic Agents ; Decision Support Systems, Clinical ; Drug Interactions ; Electronic Health Records ; Emergency Service, Hospital ; Humans ; Observational Study ; Patients' Rooms ; Prescriptions ; Retrospective Studies

PURPOSE: In relation to perinatal healthcare, medical institutions and resources are limitative and also are in a state of flux due to the therapeutic specialty. We analyzed requests for interhospital transfers received by Busan 1339 Emergency Medical Information Center (EMIC) to grasp the state of perinatal healthcare delivery system. METHODS: This study was conducted on the basis of data inputted into the computing system of Busan 1339 EMIC, between January 1 and December 31, 2009. In connection with 378 pregnant women and 136 newborns who were required to transfer, retrospective analyses were made of the success rate of transfer (SR), the number of contacted hospitals, the time required for transfer and the reason of transfer and refusal. RESULTS: In the case of pregnant women, the SR were 65.5%. They came in contact with 2.7 hospitals, and it took 24.4 minutes. As for the reason of transfer, preterm labor accounted for the highest proportion. In the case of newborns, the SR were 71.3%. They came in contact with 2.4 hospitals, and it took 15.6 minutes. The most common reason of transfer were respiratory symptoms. In the reason of refusal with pregnant women and newborn, the lack of medical staff, medical equipments and wards accounted for great. CONCLUSION: Many pregnant women and newborns have been transferred to hospitals by EMIC, but the SR has not been higher yet. Accordingly, there is a need to evaluate the propriety of perinatal treatment system, as well as to set up effective perinatal healthcare delivery system.
Centralized Hospital Services ; Delivery of Health Care ; Disulfiram ; Emergencies ; Emergency Medical Service Communication Systems ; Female ; Hand Strength ; Humans ; Infant, Newborn ; Information Centers ; Intensive Care Units, Neonatal ; Medical Staff ; Obstetric Labor, Premature ; Porphyrins ; Pregnancy ; Pregnant Women ; Retrospective Studies ; Transportation of Patients

This paper introduces the construction and application of the platform of client service center in the general hospital and discusses how to provide patients with an entire service including service before clinic, on clinic and after clinic. It can also provide references for a new service mode for clinic service.
Centralized Hospital Services ; methods ; organization & administration ; Hospital Administration ; methods ; Patient Satisfaction ; Patients ; Software Design