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Background:Always, better control(ABC)-vital, essential and non-essential (VEN) matrix analysis has a key role in assisting decisions making in medicine selection, purchasing and inventory management and hence help in reducing cost, identifying medicine use problems and improve efficiency in the pharmaceutical supply system. Studies on analysis of pharmaceuticals expenditures throughout the country were very limited, in Jimma zone no studies found yet. The objective of the study was, therefore, to analyze pharmaceuticals based on cost and criticality aspects and identify those which require stringent managerial control at selected public health facilities of Jimma zone Southwest Ethiopia. Methods:Health facility-based, cross-sectional, study design using a quantitative method in which ABC, VEN and ABC-VEN matrix analysis techniques were utilized to analyse pharmaceutical inventory management system at selected public health facilities of Jimma zone. Results:The ABC analysis shows that class A items accounted for 53(15.3%), whereas class B and C items accounted for 72(20.8%) and 221(63.8%) number of items at selected public health facilities of Jimma zone. VEN analysis showed that 132 items (59.7%) were categorized as vital and consumes 61.4% ($248,372) of the annual pharmaceuticals expenditures (APE). Whereas, 55 items (24.8%) and 34 items (15.3%) were categorized under essential and less/non-essential with a total APE of 31.1% ($126,020) and 7.4%($30,008)respectively. From ABC-VEN matrix analysis, the majority of items were category I pharmaceuticals.Conclusions:Majority of items at a selected public health facility were category I and most of the category I pharmaceuticals, in turn, were Class A and V items which require great attention for their control and availability
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OBJECTIVE：To investigate drug use in an obstetrics and gynecology hospital and confirm the types of drugs that need to be monitored so as to provide reference for rational drug use in clinic. METHODS： Activity based classification （ABC） analysis， Vital-Essential-Nonessential Medicine （VEN） analysis and ABC-VEN matrix analysis were used to statistically analyze the types of drugs in the inpatients and outpatients of this hosptial during Jan. 2016-Dec. 2017， and consumption sum in the hospital so as to determine the types of monitoring focus drugs. RESULTS： The drugs were divided into class A， B， and C by using ABC analysis， and the constitute ratio of them were 6.08％， 7.71％ and 86.21％； the constitute ratio of consumption sum were 70.97％， 19.07％ and 9.96％， respectively. The drugs were divided into class V， E and N， and the constitute ratio of them were 36.51％， 43.61％ and 19.88％； constituent ratios of their consumption sum were 31.89％， 33.89％ and 34.22％， respectively. The drugs were divided into group Ⅰ （class AV， AE， AN， BV， CV）， group Ⅱ （class BE， CE， BN） and group Ⅲ （class CN） by using ABC-VEN matrix analysis； the constitute ratios of accumulative number of drug type were 40.56％， 44.43％ and 15.01％，while those of accumulative consumption sum were 77.29％， 20.52％ and 2.19％， respectively. Among class N， the constituent ratio of consumption sum of class AN as Chinese patent medicine， blood substitutes and perfusion solutions were higher， being 12.48％ and 7.92％； that of class BN as Chinese patent medicine was higher， being 3.21％； those of class CN as Chinese patent medicine， sex hormones and modulators of the genital system were higher， being 1.14％， 0.50％. CONCLUSIONS： In the Obstetrics and Gynecology Hospital， consumption sum of class A is the main part of the total consumption sum of drugs， and they should be seleted according to therapeutic efficacy. Active regulatory policies should be adopted for class V and E so that more drug types that possess cost- effectiveness advantages； for class N， management control and reasonable utilization should be monitored closely to reduce irrational drug use. Some Chinese patent medicines， blood substitutes and perfusion solutions among class AN should be monitored and controlled emphatically.
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OBJECTIVE:To improve the rational and scientific drug purchase quantity planned by hospital pharmacy. METH-ODS:The deficiency in present drug purchase module of hospital information system(HIS)was analyzed;the formula of planned purchase quantity was improved by incremental coefficient method,ABC analysis method and VEN analysis method. The high and low stored values and packaging volume were set to adjust planned drug purchase quantity. Based on the computer program,a one-key-getting procedure was quasi established,and five typical drugs were selected for simulation. RESULTS:Based on previous formula,the parameters representing change trend,incremental coefficient k1 and inventory coefficient k2 were added in new formu-la. The one-key-getting procedure could calculate the quantity of all drugs by simply entering the planning cycle N1 and the safe peri-od N2 of the some category drugs into the system. After simulated operation practice,compared with pre-improvement,the occupa-tion of funds was significantly decreased and the quantity of drug was rounded off according to package in post-improvement. CON-CLUSIONS:Through function improvement of drug purchase module in HIS and the quasi establishment of one-key-getting pur-chase mode,planned drug purchase quantity is more reasonable,scientific and accurate. It ensures the clinical drug supply in time without causing a backlog,and effectively reduces the cost of manpower,material and capital.
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Introduction: As of the beginning of 1990, Mongolia changed to a free market economy and dramaticsocio-economic change. As the result of this, impacts of alcohol usage on the health and social life of thepeople is the most critical issue for Mongolia.Around 51.2% of the total number of adults use alcohol and 8% of them are mothers and women. Thisestimation tends to increase unless any measures are taken involving a wide range of society in future. Inregards to the rapid change in alcohol usage, the economic solutions should be considered for the medicaltherapies for serious alcoholism. Our budget on the health is limited and the financing is poor. Therefore; inorder to accomplish an appropriate budget, using medical ABC/VEN economic software can be effective. Itis important to make economically appropriate choices on the medicine to save on expenditure.Objectives: The objective of this work is to research and identify the appropriateness of the expenditurestructure and usage of the medicine for inpatients with alcoholism by АВС/VEN hierarchical methods.Results:1. The names of the medicine that must be stored regularly in the Narcological Hospital are detected. Theseinclude:AV groups – Natrium chloride 0,9% (500ml), Vitamin В1 (50)mg/mlAE groups – Ceftriaxone 1g, Kalium chloride 0.7% (250ml), Phezam (425mg), Disulfiram (500mg), Hypo B-B complex, Riboxinum 0,2g, Activated carbon (500mg)BV groups - Natrium chloride 0.9% (100ml), Diazepam 5mg, Diazepam 5mg/ml BE groups – Nicotinic acid 1% (1ml), Thizertsin (2.5mg), Glucose 10% (500ml), Piracetam 20% (5ml) and Vitamin B6 50mg/mlConclusion:1. The budget spending structure on medicine for inpatient with alcoholism was evaluated by the ABC analysisand MNT 1 295,856 in total from budget were spent from 33 types of medicine in 17 pharmacology classby the identification process. According to the budget spending, 23.4% of A group was spent for contaminationremoving liquid, which was relatively high whereas relatively low amount as 5.83% of Disulfiram foraddiction-reducing medicine.2. The VEN analysis was conducted for medicine usage of inpatients with alcoholism and identified types of medicine in classifications of essential (АV, ВV) and compulsory (AE, BE) medicines as of primary sup- ply and the appropriate proportion of budget spending. These include: V class 23.14% of A group, E class 46.57% of A group, V class 6,54% of B group and E class 8,64% of Bclass.3. The names and types of inessential medicine (N) for inpatients with alcoholism which can save the budgetwere identified. The spending medicine for inessential class (N) Actovegin 5ml and Ascorbic acid instead of8.47% for A group spending of the main budget was identified.Keywords: ABC analysis, VEN analysis, AV group, AE group, BV group, BE group, AN group