Evidence map›Paper›PMID 40666120›Full record

ArticleRwanda journal of medicine and health sciences2021

Inventory Management Practices and Supply Chain Performance of Antiretroviral Medicines in Public Hospitals in Nyamira County, Kenya.

Johnson Anyona, Peter Karimi, Shital Maru

Abstract read
In one paragraph

Article in Rwanda journal of medicine and health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Johnson AnyonaEAC Regional Centre of Excellence for Vaccines, Immunization, and Health Supply Chain Management, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
Peter KarimiUniversity of Nairobi, Nairobi, Kenya.
Shital MaruUniversity of Nairobi, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Unreliable supply systems have plagued the provision of an uninterrupted supply of life-saving medicines in many developing countries, with antiretroviral (ARV) medicines having the worst repercussions. Objective: To identify the inventory management practices used, evaluate the supply chain performance, and determine the challenges affecting inventory management of ARV medicines in public hospitals. Methods: The study used a descriptive cross-sectional design, gathering snapshot data on inventory management practices happening in all the 8 public hospitals across Nyamira County. Data collection was done using structured questionnaires, key informant interviews, checklists and data from the national health information system. Results: The response rate was 97.3% for the questionnaires and 100% for the key informant interviews. The prevailing inventory management practices were: use of scheduled inventory control model (80.95%), forecasting demand using previous consumption data (100%), keeping accurate and updated stock records for each commodity (92.31%), having essential logistical data in reports (100%), including safety stock (61.54%) when ordering and keeping ARV medicines in dedicated stores (75%). With the exception of order lead time (17.98 days), the other supply chain performance metrics namely stock out rate (52.12%), stock wastage rate (43.2%), and reporting rates (70.84%) were found to be deficient. The challenges mostly affecting inventory management included inadequate staff and training, lack of proper storage, and unreliable supply of medicines. Conclusion: Inventory management practices were according to the recommended best approaches despite various challenges. The supply chain performance metrics evaluated, with the exception of order lead time, were all found to be unsatisfactory owing to the high stock out rates, below par reporting rates and high stock wastage rate due to expiries discovered. Adoption of an electronic inventory system, use of data for decision making, dedicated storage of ARV medicines, and inclusion of buffer stock, are some strategies to improve inventory management.

Indexed as

Inventory Management Practicesorder lead timesafety stockstock availabilitySupply chain performance

Identifiers

PMID40666120
PMCPMC12257208

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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.