Evidence map›Paper›PMID 42428215›Full record

ArticleCureus2026

Drug Inventory Management in a Pharmacy Store of a Tertiary Care Hospital Using Always Better Control (ABC) and Vital, Essential, and Desirable (VED) Analysis.

Gopiga Ilango, Anandabaskar Nishanthi, Vivekraj Navabalan, Vimala Ananthy, Shanthi Manickam, Chandrakumar Suryakumar

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Gopiga IlangoPharmacology, Sri Manakula Vinayagar Medical College and Hospital, Puducherry, IND.
Anandabaskar NishanthiPharmacology, Sri Manakula Vinayagar Medical College and Hospital, Puducherry, IND.
Vivekraj NavabalanPharmacology, Sri Manakula Vinayagar Medical College and Hospital, Puducherry, IND.
Vimala AnanthyPharmacology, Mahatma Gandhi Medical College and Research Institute, Puducherry, IND.
Shanthi ManickamPharmacology, Sri Manakula Vinayagar Medical College and Hospital, Puducherry, IND.
Chandrakumar SuryakumarPharmacology, Sri Manakula Vinayagar Medical College and Hospital, Puducherry, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEfficient drug inventory management ensures the uninterrupted availability of critical medicines while optimizing limited financial resources. Always Better Control (ABC) and Vital, Essential, and Desirable (VED) analyses are validated tools for identifying high-cost and high-priority items requiring strict oversight.

objectiveThis study aimed to analyze annual drug procurement expenditure using ABC, VED, and ABC-VED matrix methods in a tertiary care hospital from April 2018 to March 2019 and to identify priority medicines requiring enhanced managerial oversight to optimize inventory control and resource utilization.

methodsThis retrospective study evaluated all drugs purchased over one year. Drugs were categorized using ABC, VED, and ABC-VED matrix analyses (Categories I-III) to identify priority groups for managerial control. Category I comprised AV, AE, AD, BV, and CV items; Category II included BE, BD, and CE items; and Category III consisted solely of CD items.

resultsOverall, 1,402 drugs were procured during the study period, with an annual expenditure of ₹85,305,041.13. ABC analysis classified 135 items (9.62%) as Category A, 250 (17.83%) as Category B, and 1,017 (72.54%) as Category C, accounting for ₹59,813,194.80 (70.11%), ₹17,201,737.31 (20.16%), and ₹8,290,109.02 (9.72%) of total expenditure, respectively. VED analysis identified 373 items (26.60%) as vital, 613 (43.72%) as essential, and 416 (29.67%) as desirable, contributing ₹31,567,217.65 (37.00%), ₹39,230,038.25 (46.00%), and ₹14,507,785.23 (17.00%) of annual costs, respectively. Regarding the ABC-VED matrix, 458 items (32.66%) were classified as Category I, 624 (44.51%) as Category II, and 320 (22.82%) as Category III, accounting for ₹66,958,985.88 (78.49%), ₹15,745,645.07 (18.46%), and ₹2,600,410.18 (3.05%) of total expenditure, respectively.

conclusionThe ABC-VED matrix is a robust tool for identifying drugs requiring close monitoring and targeted cost-containment strategies while ensuring the continuous availability of vital and essential medicines in resource-limited settings.

Indexed as

abc analysisabc–ved matrixdrug inventory managementinventory controlpharmacy storesved analysis

Identifiers

PMID42428215
PMCPMC13347677

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.