Allergic reactions to medications are increasing not only in patients but also in medical practitioner. Objectives: 1) Finding out prevalence of drug allergy in Bach Mai hospital staffs and listed medications caused allergic reactions. 2) Comparison some aspects of drug allergy between the health staffs and other groups. 3, Study on clinical symptoms of drug allergy and bring forward views. Subjects: 215 physicians, pharmacists, nurses, techniciants of Bach Mai Hospital and 200 staffs with other jobs. Method: Cross-sectional comparative surveys. Results: The prevalence of allergic reaction in health staffs is higher and these ones had more likely to have drug allergy by 2.5 times compared with other occupational groups. Almost all medications used in clinical practice can cause allergic reactions to the health staffs. Antibiotics were major cause and allergic reactions to familiar beta-lactams happened in the health staffs via contact. Main clinical symptoms of drug allergy were urticaria, prurigo, vomitting, nause and erythema with 3 main syndromes: urticaria, quincke edema and allergic dermatitis. Allergic reactions in health staffs of hospital are needed to pay more attention. Conclusion: the prevalence of drug allergy in Bach Mai Hospital staffs is high and these subjects should be protected from this condition.
Hypersensitivity ; Medication Systems ; Medical Staff

The cardiovascular circulation feedback control treatment instrument (CFCTI) is an automatic feedback control treatment system, which has the function of monitoring, alarming, trouble self-diagnosis and testing on the line in the closed loop. The instrument is designed based on the successful clinical experiences and the data are inputted into the computer in real-time through a pressure sensor and A/D card. User interface window is set up for the doctor's choosing different medicine. The orders are outputted to control the dose of medicine through the transfusion system. The response to medicine is updated continually. CFCTI can avoid the man-made errors and the long interval of sampling. Its reliability and accuracy in rescuing the critical patients are much higher than the traditional methods.
Automation ; instrumentation ; Cardiovascular System ; Feedback ; Medication Systems

OBJECTIVE: To identify the technical considerations in implementing a barcode-based medication system and propose practical solutions for successful implementation of the system. In order to reduce medical errors related to medication and blood transfusion, we analyze various factors that hinder the successful implementation of the barcode-based medication system and discuss issues involved in the effective adoption of such a system. METHODS: The barcode-based medication system of this research uses one-dimensional, barcode bands on patients' wrists and two-dimensional barcodes attached to drug bags and blood bags. PDAs with barcode reading capability and wireless networking function are used, which enables Point of Care. The business process for applying the developed system and the current status of the system usage are analyzed. RESULTS: The factors causing a variety of system failures in the demonstration and pilot periods were identified and categorized as including PDA malfunction, PDA battery discharge due to users' carelessness, confusion in reading barcodes and so on. CONCLUSIONS: It is expected that the analyzed obstructive factors and the proposed technical considerations addressed in this paper can help other hospitals implement similar barcode-based medication systems successfully. Ultimately, this research will contribute to reducing medical errors and improving quality of patient care.
Adoption ; Blood Transfusion ; Commerce ; Medical Errors ; Medication Errors ; Medication Systems ; Patient Care ; Wrist

This paper introduce how to combining the whole package automatic dispensing machine with intelligent storage cabinets at outpatient pharmacy. Furthermore, this paper introduce how to integrated this system with hospital information systems which can provide references for the construction of automatic hospital pharmacy in our country.
Automation ; methods ; Hospitals, General ; Medication Systems, Hospital ; Pharmacy Service, Hospital

OBJECTIVES: Studies examining healthcare workers' exposure to antineoplastic drugs have focused on the drug preparation or drug administration areas. However, such an approach has probably underestimated the overall exposure risk as the drugs need to be delivered to the facility, transported internally and then disposed. The objective of this study is to determine whether drug contamination occurs throughout a facility and, simultaneously, to identify those job categories that are potentially exposed. METHODS: This was a multi-site study based in Vancouver, British Columbia. Interviews were conducted to determine the departments where the drugs travel. Subsequent site observations were performed to ascertain those surfaces which frequently came into contact with antineoplastic drugs and to determine the job categories which are likely to contact these surfaces. Wipe samples were collected to quantify surface contamination. RESULTS: Surface contamination was found in all six stages of the hospital medication system. Job categories consistently found to be at risk of exposure were nurses, pharmacists, pharmacy technicians, and pharmacy receivers. Up to 11 job categories per site may be at risk of exposure at some point during the hospital medication system. CONCLUSION: We found drug contamination on select surfaces at every stage of the medication system, which indicates the existence of an exposure potential throughout the facility. Our results suggest that a broader range of workers are potentially exposed than has been previously examined. These results will allow us to develop a more inclusive exposure assessment encompassing all healthcare workers that are at risk throughout the hospital medication system.
Antineoplastic Agents ; British Columbia ; Delivery of Health Care ; Drug Compounding ; Drug Contamination ; Humans ; Medication Systems ; Medication Systems, Hospital ; Occupational Exposure ; Pharmacists ; Pharmacy ; Porphyrins

This article develops a system of intelligent atomization which can shorten the time for the preparation of the clinical atomization and avoid mistakes. The system will enable patients enjoy the treatment right after swiping their ID cards.
Artificial Intelligence ; Automation ; instrumentation ; methods ; Medication Systems, Hospital ; Nebulizers and Vaporizers ; Software Design

OBJECTIVE: The purpose of this study was to examine post-hospitalization outpatient drug adherence in patients with severe psychiatric illness, including bipolar disorder and schizophrenia, and to investigate factors associated with drug adherence. METHODS: Eighty-one patients diagnosed with schizophrenia or bipolar disorder who were hospitalized due to aggravation of psychiatric symptoms were monitored. At hospitalization, we conducted clinical assessments such as the Clinical Global Impression-Severity, Drug Attitude Inventory, Contour Drawing Rating Scale, Multidimensional Scale of Perceived Social Support scale, and patients' demographic factors. We measured drug adherence using the Medication Event Monitoring System (MEMS), pill count, and patients' self-report upon out-patients visits, 4 and 24 weeks after discharge. RESULTS: The mean values of the various measures of adherence were as follows: MEMS (4 weeks) 84.8%, pill count (4 weeks) 94.6%, self-report (4 weeks) 92.6%, MEMS (24 weeks) 81.6%, pill count (24 weeks) 90.6%, and self-report (24 weeks) 93.6%. The adherence agreement between MEMS, pill count, and self-report was moderate (4 weeks intra-class correlation [ICC]=0.54, 24 weeks ICC=0.52). Non-adherence (MEMS ≤0.08) was observed in 26.4% of the patients at 4 weeks and 37.7% at 24 weeks. There was a negative correlation between drug adherence assessed 4 weeks after discharge and Contour Drawing Rating Scale difference score (r=−0.282, p<0.05). A positive correlation was found between drug adherence assessed 24 weeks after discharge and Drug Attitude Inventory (r=0.383, p<0.01). CONCLUSION: Patients' attitude towards their medication and their degree of physical dissatisfaction influenced post-hospitalization drug adherence in severe psychiatric patients.
Bipolar Disorder ; Demography ; Drug Monitoring ; Hospitalization ; Humans ; Medication Adherence ; Micro-Electrical-Mechanical Systems ; Outpatients ; Schizophrenia

PURPOSE: The purpose of this cross-sectional study was to examine current status of IT-based medication error prevention system construction and the relationships among system construction, medication error management climate and perception for system use. METHODS: The participants were 124 patient safety chief managers working for 124 hospitals with over 300 beds in Korea. The characteristics of the participants, construction status and perception of systems (electric pharmacopoeia, electric drug dosage calculation system, computer-based patient safety reporting and bar-code system) and medication error management climate were measured in this study. The data were collected between June and August 2011. Descriptive statistics, partial Pearson correlation and MANCOVA were used for data analysis. RESULTS: Electric pharmacopoeia were constructed in 67.7% of participating hospitals, computer-based patient safety reporting systems were constructed in 50.8%, electric drug dosage calculation systems were in use in 32.3%. Bar-code systems showed up the lowest construction rate at 16.1% of Korean hospitals. Higher rates of construction of IT-based medication error prevention systems resulted in greater safety and a more positive error management climate prevailed. CONCLUSION: The supportive strategies for improving perception for use of IT-based systems would add to system construction, and positive error management climate would be more easily promoted.
Adult ; Female ; Health Personnel/*psychology ; Hospital Information Systems ; Humans ; Male ; Medical Order Entry Systems ; Medication Errors/*prevention & control ; Medication Systems, Hospital/statistics & numerical data ; Middle Aged ; Perception ; Quality Assurance, Health Care ; Safety Management/statistics & numerical data ; User-Computer Interface

OBJECTIVE: The primary aim of this study was to compare electronic monitoring with other measures of adherence to Osmotic-controlled Release Oral delivery System methylphenidate in children with attention-deficit hyperactivity disorder (ADHD). The secondary aim was to analyze the relationships between adherence and clinical factors, including ADHD symptoms. METHODS: Thirty-nine children diagnosed with ADHD were monitored for adherence to medication over the course of eight weeks. Medication adherence was assessed using the Medication Event Monitoring System (MEMS), which is a bottle cap with a microprocessor that records all instances and times that the bottle is opened; patient self-report; clinician rating; and pill count. Information, including demographic and clinical characteristics, symptom rating scale, and psychological test results, were also collected. The relationships between adherence and clinical factors, including ADHD rating scores of baseline and of the changes, were assessed. RESULTS: The rate of non-adherence measured by the MEMS was found to be 46.2%, which was considerably higher than those of the patient self-report (17.9%), clinician rating (31.7%), and pill count (12.8%) of non-adherence. The rate of adherence measured by the MEMS was not significantly associated with baseline symptom severity or symptom changes over the eight weeks, although non-adherent group showed more severe baseline symptoms and inferior improvement. CONCLUSION: Adherence as measured by the MEMS showed a discrepancy with other measures of adherence in patients with ADHD. The symptom severity and level of improvement were not related to adherence with MEMS. Further studies are needed to evaluate the variables that may impact medication adherence in children with ADHD.
Attention Deficit Disorder with Hyperactivity ; Child ; Electronics ; Electrons ; Humans ; Medication Adherence ; Methylphenidate ; Micro-Electrical-Mechanical Systems ; Microcomputers ; Psychological Tests

OBJECTIVES: Many medication errors can occur when ordering and dispensing medicine in hospitals. The clinical decision support system (CDSS) is widely used in an effort to reduce medication errors. This study focused on the evaluation of user satisfaction with the CDSS for medication at a university hospital. Specifically, this study aimed to identify the factors influencing user satisfaction and to examine user requirements in order to further improve user satisfaction and drug safety. METHODS: The study was based on survey data from 218 users (103 doctors, 103 nurses, and 15 pharmacists) at a university hospital that uses the CDSS. In order to identify the factors influencing user satisfaction with the CDSS, a multiple linear regression was performed. In order to compare the satisfaction level among the professional groups, an analysis of variance (ANOVA) was performed. RESULTS: The reliability of information, decision supporting capability, and departmental support were significant factors in influencing user satisfaction. In addition, nurses were the most satisfied group, followed by pharmacists and doctors according to the ANOVA. Areas for further improvement in enhancing drug safety were real time information searching and decision supporting capabilities to prevent adverse drug events (ADE) in a timely manner. CONCLUSIONS: We found that the CDSS users were generally satisfied with the system and that it complements the nationwide drug utilization review (DUR) system in reducing ADE. Further CDSS evaluation in other hospitals is needed to improve user satisfaction and drug safety.
Complement System Proteins ; Decision Support Systems, Clinical ; Drug Toxicity ; Drug Utilization Review ; Humans ; Linear Models ; Medication Errors ; Pharmacists