Analysis of Pharmaceuticals Inventory Management Using ABC-VEN Matrix Analysis in Selected Health Facilities of West Shewa Zone, Oromia Regional State, Ethiopia

Deressa, Magarsa Bayissa; Beressa, Tamirat Bekele; Jemal, Awol

doi:10.2147/iprp.s354810

Cited by 15 publications

(21 citation statements)

References 15 publications

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“…The ABC analysis (Table 1) revealed a steady increase in the volume of the most expensive drugs (group A) from 3,763,114.9 Kazakh Tenge in 2018 to 6,144,539.9 Kazakh Tenge in 2021, for a total of 6,144,539.9 Kazakh Tenge. Simultaneously, the group A medicine structure included 18 Table 2 shows an examination of commonly used drugs in the department of nephrology in the context of ABC groups revealed the purchase of 26 INNs from 2018 to 2021 (four years in a row). All 26 INN positions were studied using criteria "renal failure" from KNF and "nephrotoxicity" from internationally recognized clinical guidelines-"The renal drug handbook" [10].…”

Section: Resultsmentioning

confidence: 99%

A retrospective analysis of pharmacotherapy in Kazakhstan: Assessment of the rational prescription and use of antibiotics in the nephrology department of a multidisciplinary hospital

et al. 2022

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Introduction: The rapid development of the pharmaceutical industry has increased the need to assess and monitor the use of medicines. Thus, necessitates the importance of monitoring the appropriate use of medicines including antimicrobials. Objective: Pharmacoeconomic analysis of pharmacotherapy in the nephrology department at a multidisciplinary hospital. Methods: The study is a retrospective analysis of medicine use and expenditure. The study utilized the ABC-VEN analysis of medical use and the WHO-AWaRe-2021 analysis of antibiotic use, to determine the prescription and financial trends of the nephrology department (30 beds) of a multidisciplinary regional hospital (total 844 beds) in Turkestan, Kazakhstan 2018-2021. Results: The analyzed costs of drugs included 116 international nonproprietary names prescribed to patients from the nephrology department during the study period. In total, pharmacotherapy costs increased by 52.6% in 2021 compared to 2018. Five INN drugs were purchased without their inclusion in the Kazakhstan National Medicinal Formulary, such as atropine sulfate, sodium bicarbonate, sodium chloride (crystalline salt), nitroxoline, and nitrofural. The pharmacoeconomics analysis of antibiotics usage for 2018-2021 showed a sharp increase in the%age of costs. Conclusion: The study showed an increase in funding for pharmacotherapy in the department of nephrology, which increases the availability of medicines. However, the trend in prescribing drugs with poor evidence base level, and the increase in the proportion of antibiotic prescription, require immediate intervention including the utilization of clinical pharmacy services for regular assessment of the pharmacoeconomic feasibility of antibiotic therapy. This will improve the quality of medical care and reduce the financial costs.

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Section: Resultsmentioning

confidence: 99%

A retrospective analysis of pharmacotherapy in Kazakhstan: Assessment of the rational prescription and use of antibiotics in the nephrology department of a multidisciplinary hospital

et al. 2022

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Section: Methodsmentioning

confidence: 99%

“…However, the term "ABC analysis" is used ambiguously in the biomedical literature. "ABC analysis" is used for: (i) "Ap-proximate Bayesian Computation" (e.g., 3,4 ), (ii) "Antecedent-Behavior-Consequence", which is a method for analyzing behavior and comes from the field of psychology 5 , and (iii) an inventory categorization method originating in economics, where ABC occasionally stands for "Always Better Control", used in inventory control and management (e.g., [6][7][8][9] ).This report refers only to the idea underlying the latter meaning of ABC analysis, i.e., the item or inventory categorization method that aims to identify the most relevant items by dividing a set of non-negative numerical items into subsets "A", "B", and "C" 10 . However, the term "Always Better Control" for "ABC", which was never used by Juran, should not be associated with the present method.…”

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confidence: 99%

Recursive computed ABC (cABC) analysis as a precise method for reducing machine learning based feature sets to their minimum informative size

Lötsch

Ultsch

2023

Sci Rep

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Selecting the k best features is a common task in machine learning. Typically, a few features have high importance, but many have low importance (right-skewed distribution). This report proposes a numerically precise method to address this skewed feature importance distribution in order to reduce a feature set to the informative minimum of items. Computed ABC analysis (cABC) is an item categorization method that aims to identify the most important items by partitioning a set of non-negative numerical items into subsets "A", "B", and "C" such that subset "A" contains the "few important" items based on specific properties of ABC curves defined by their relationship to Lorenz curves. In its recursive form, the cABC analysis can be applied again to subset "A". A generic image dataset and three biomedical datasets (lipidomics and two genomics datasets) with a large number of variables were used to perform the experiments. The experimental results show that the recursive cABC analysis limits the dimensions of the data projection to a minimum where the relevant information is still preserved and directs the feature selection in machine learning to the most important class-relevant information, including filtering feature sets for nonsense variables. Feature sets were reduced to 10% or less of the original variables and still provided accurate classification in data not used for feature selection. cABC analysis, in its recursive variant, provides a computationally precise means of reducing information to a minimum. The minimum is the result of a computation of the number of k most relevant items, rather than a decision to select the k best items from a list. In addition, there are precise criteria for stopping the reduction process. The reduction to the most important features can improve the human understanding of the properties of the data set. The cABC method is implemented in the Python package "cABCanalysis" available at https://pypi.org/project/cABCanalysis/.

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“…Some studies include such Magarsa Babyssa Deressa Tamirat Bekele Beressa, and Awol Jemal, in 2019. The study was conducted in the western zone of the Shewa region (Deressa et al, 2022)involving fifteen research health service facilities. Gizaw and Jemal (2018) also conducted research in a drug supply agency in an area.…”

Section: Literature Reviewmentioning

confidence: 99%

Drug Inventory Management Using ABC-VEN and EOQ Analysis for Improving Hospital Efficiency

Wang¹

2022

Jurnal Aisyah : Jurnal Ilmu Kesehatan

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Pharmaceutical Installation at Hospital is a service unit that has a very large influence on hospital services and income from hospitals because the source of income and expenses comes from pharmaceutical installation activities in procurement to distribution. This research is a study on inventory management for Pharmaceutical supplies at Santo Yusup Boro Kulon Progo Hospital, Yogyakarta, this study aims to find a suitable inventory management calculation method that can be applied in hospitals, researchers chose ABC-VEN analysis to be applied to hospital pharmacy supply planning, as well as calculating the optimum number of orders in pharmaceutical drug supply, using EOQ calculations (Economic Order Quantity), as well as calculating when the reorder time (ROP) for the type of supply in pharmacy. This research method is a type of analytical descriptive research, the subjects of this study are the head of the service, head of finance, Head of Pharmacy installation, Head of Pharmacy and Hospital Therapy Team, other TFT members, as well as secondary data in the form of pharmaceutical sales reports, pharmacy reports in the form of opnam stock reports, reports of expired drugs, etc., data processing based on analytical descriptive using Microsoft excel. Where the results of the study from the number of pharmaceutical supplies at Santo Yusup Boro Hospital were 465 Drug items after being classified based on ABC-VEN analysis, 18 drugs entered the AV group, 20 drugs in the BV group, and 57 drugs including the CV group, after grouping based on ABC-VEN analysis in calculating the Optimum value of ordering drugs respectively, drug items, after using calculations based on ABC-VEN and EOQ analysis there was the efficiency of Rp. 22,206,511.52 in one year or there was efficiency of 41.8%. The conclusion of this study shows that the ABC VEN and EOQ methods can increase efficiency in the supply of medicines in hospital pharmacy installations, so this method is suitable for application in hospitals to manage supplies in hospitals.

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Analysis of Pharmaceuticals Inventory Management Using ABC-VEN Matrix Analysis in Selected Health Facilities of West Shewa Zone, Oromia Regional State, Ethiopia

Cited by 15 publications

References 15 publications

A retrospective analysis of pharmacotherapy in Kazakhstan: Assessment of the rational prescription and use of antibiotics in the nephrology department of a multidisciplinary hospital

A retrospective analysis of pharmacotherapy in Kazakhstan: Assessment of the rational prescription and use of antibiotics in the nephrology department of a multidisciplinary hospital

Recursive computed ABC (cABC) analysis as a precise method for reducing machine learning based feature sets to their minimum informative size

Drug Inventory Management Using ABC-VEN and EOQ Analysis for Improving Hospital Efficiency

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