Cargando…

Predictors of medicine redistribution at public healthcare facilities in King Cetshwayo District, KwaZulu-Natal, South Africa

BACKGROUND: Effective pharmaceutical inventory management is essential for optimizing healthcare outcomes and supply chain performance. However, challenges such as stockouts, overstocking, and wastage can hinder this process. This study examines the interrelationships between overstocking, stockouts...

Descripción completa

Detalles Bibliográficos
Autores principales: Mabizela, Sibusiso, Nakambale, Hilma N., Bangalee, Varsha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583440/
https://www.ncbi.nlm.nih.gov/pubmed/37848899
http://dx.doi.org/10.1186/s12913-023-10096-4
_version_ 1785122553080053760
author Mabizela, Sibusiso
Nakambale, Hilma N.
Bangalee, Varsha
author_facet Mabizela, Sibusiso
Nakambale, Hilma N.
Bangalee, Varsha
author_sort Mabizela, Sibusiso
collection PubMed
description BACKGROUND: Effective pharmaceutical inventory management is essential for optimizing healthcare outcomes and supply chain performance. However, challenges such as stockouts, overstocking, and wastage can hinder this process. This study examines the interrelationships between overstocking, stockouts, and wastage in eight healthcare facilities in Northern KwaZulu-Natal, South Africa. It also explores the extent of these challenges and investigates the use of medicine redistribution as a strategy to address inventory management issues. METHODS: A retrospective quantitative analysis was conducted using pharmacy inventory records from public healthcare facilities. Eight facilities, including hospitals and a community healthcare center in King Cetshwayo District, were purposively sampled. Linear regression analysis was used to examine the association between medicine redistribution as the outcome and the predictors - stockouts, overstocking, and wastage. Pearson’s correlation was utilized to evaluate associations between the predictors. Descriptive statistics were employed to quantify the levels and extent of overstocking, stockouts, and wastage related to expiry. RESULTS: The study included eight healthcare facilities with pharmacy warehouses managed by pharmacists. A total of 392 medicines were analyzed (49 per facility). Stockouts affected 85.6% of medicines, while overstocking and expiry-related wastage impacted 50.6% and 15.2% of medicines, respectively. The most common stock-out medicines were salbutamol 200mcg inhalant (4.0%), paracetamol 500 mg tablets (3.5%), and azithromycin 500 mg tablets (3.3%). Overstocking, stock with short-dated expiry, and expired medicines explained 68% of redistribution transactions to other facilities (r² = 0.68). A moderate, statistically significant correlation was observed between overstocking and expiry-related wastage (r² = 0.47, p-value = 0.020). Stockouts had a weak correlation with redistribution, accounting for only 4.5% (p-value < 0.01). A weak correlation was found between stockouts and overstocking (r = 0.10), as well as between stockouts and expired medicines (r = -0.20). CONCLUSION: This study highlights significant challenges in inventory management, particularly regarding stockouts, overstocking, and expiry-related wastage in the evaluated healthcare facilities. Medicine redistribution emerged as a viable strategy to address these challenges. Improving inventory management practices and implementing targeted interventions are crucial for optimizing pharmaceutical supply chain performance and enhancing healthcare delivery outcomes in this setting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10096-4.
format Online
Article
Text
id pubmed-10583440
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-105834402023-10-19 Predictors of medicine redistribution at public healthcare facilities in King Cetshwayo District, KwaZulu-Natal, South Africa Mabizela, Sibusiso Nakambale, Hilma N. Bangalee, Varsha BMC Health Serv Res Research BACKGROUND: Effective pharmaceutical inventory management is essential for optimizing healthcare outcomes and supply chain performance. However, challenges such as stockouts, overstocking, and wastage can hinder this process. This study examines the interrelationships between overstocking, stockouts, and wastage in eight healthcare facilities in Northern KwaZulu-Natal, South Africa. It also explores the extent of these challenges and investigates the use of medicine redistribution as a strategy to address inventory management issues. METHODS: A retrospective quantitative analysis was conducted using pharmacy inventory records from public healthcare facilities. Eight facilities, including hospitals and a community healthcare center in King Cetshwayo District, were purposively sampled. Linear regression analysis was used to examine the association between medicine redistribution as the outcome and the predictors - stockouts, overstocking, and wastage. Pearson’s correlation was utilized to evaluate associations between the predictors. Descriptive statistics were employed to quantify the levels and extent of overstocking, stockouts, and wastage related to expiry. RESULTS: The study included eight healthcare facilities with pharmacy warehouses managed by pharmacists. A total of 392 medicines were analyzed (49 per facility). Stockouts affected 85.6% of medicines, while overstocking and expiry-related wastage impacted 50.6% and 15.2% of medicines, respectively. The most common stock-out medicines were salbutamol 200mcg inhalant (4.0%), paracetamol 500 mg tablets (3.5%), and azithromycin 500 mg tablets (3.3%). Overstocking, stock with short-dated expiry, and expired medicines explained 68% of redistribution transactions to other facilities (r² = 0.68). A moderate, statistically significant correlation was observed between overstocking and expiry-related wastage (r² = 0.47, p-value = 0.020). Stockouts had a weak correlation with redistribution, accounting for only 4.5% (p-value < 0.01). A weak correlation was found between stockouts and overstocking (r = 0.10), as well as between stockouts and expired medicines (r = -0.20). CONCLUSION: This study highlights significant challenges in inventory management, particularly regarding stockouts, overstocking, and expiry-related wastage in the evaluated healthcare facilities. Medicine redistribution emerged as a viable strategy to address these challenges. Improving inventory management practices and implementing targeted interventions are crucial for optimizing pharmaceutical supply chain performance and enhancing healthcare delivery outcomes in this setting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10096-4. BioMed Central 2023-10-17 /pmc/articles/PMC10583440/ /pubmed/37848899 http://dx.doi.org/10.1186/s12913-023-10096-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Mabizela, Sibusiso
Nakambale, Hilma N.
Bangalee, Varsha
Predictors of medicine redistribution at public healthcare facilities in King Cetshwayo District, KwaZulu-Natal, South Africa
title Predictors of medicine redistribution at public healthcare facilities in King Cetshwayo District, KwaZulu-Natal, South Africa
title_full Predictors of medicine redistribution at public healthcare facilities in King Cetshwayo District, KwaZulu-Natal, South Africa
title_fullStr Predictors of medicine redistribution at public healthcare facilities in King Cetshwayo District, KwaZulu-Natal, South Africa
title_full_unstemmed Predictors of medicine redistribution at public healthcare facilities in King Cetshwayo District, KwaZulu-Natal, South Africa
title_short Predictors of medicine redistribution at public healthcare facilities in King Cetshwayo District, KwaZulu-Natal, South Africa
title_sort predictors of medicine redistribution at public healthcare facilities in king cetshwayo district, kwazulu-natal, south africa
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583440/
https://www.ncbi.nlm.nih.gov/pubmed/37848899
http://dx.doi.org/10.1186/s12913-023-10096-4
work_keys_str_mv AT mabizelasibusiso predictorsofmedicineredistributionatpublichealthcarefacilitiesinkingcetshwayodistrictkwazulunatalsouthafrica
AT nakambalehilman predictorsofmedicineredistributionatpublichealthcarefacilitiesinkingcetshwayodistrictkwazulunatalsouthafrica
AT bangaleevarsha predictorsofmedicineredistributionatpublichealthcarefacilitiesinkingcetshwayodistrictkwazulunatalsouthafrica