Mitigating anticipated medicine shortages through inter-facility medicine sharing

This study develops an optimisation model to facilitate inter-facility medicine sharing in response to anticipated medicine shortages. These facilities include hospitals and medical representatives. We adopt the concept of collective response proposed in our study literature. The optimisation model is developed according to the real-world practices of inter-facility medicine sharing. We utilise case studies of particular healthcare networks to demonstrate the efficacy of the developed model. The efficacy encompasses the model’s application to real-world case studies, as well as its validity and reliability within a specific system. The results show that the developed model is able to determine which facilities should share the requested amount of medicines; and to reduce total lead times by at least one day compared to the ones obtained in the current practice. The model can be used as a decision-support tool for healthcare practitioners when responding to shortages. The study presents the managerial implications of medicine sharing at the network level and supports the development of collaboration amongst facilities in response to medicine shortages.

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Publication Details

Journal
Journal of Infrastructure Policy and Development
Published
2024-11-04
DOI
https://doi.org/10.24294/jipd.v8i12.8611
Citations
1
Primary Topic
Pharmaceutical Economics and Policy
Type
article
Field-Weighted Citation Impact
1.13
Controls
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article

Mitigating anticipated medicine shortages through inter-facility medicine sharing

Suriyan Jomthanachai, Thamonwan Dankittikul
1 citations
Journal of Infrastructure Policy and Development
Pharmaceutical Economics and Policy
1.13
article

Mitigating anticipated medicine shortages through inter-facility medicine sharing

Suriyan Jomthanachai, Thamonwan Dankittikul
article en
1 citations

Abstract

This study develops an optimisation model to facilitate inter-facility medicine sharing in response to anticipated medicine shortages. These facilities include hospitals and medical representatives. We adopt the concept of collective response proposed in our study literature. The optimisation model is developed according to the real-world practices of inter-facility medicine sharing. We utilise case studies of particular healthcare networks to demonstrate the efficacy of the developed model. The efficacy encompasses the model’s application to real-world case studies, as well as its validity and reliability within a specific system. The results show that the developed model is able to determine which facilities should share the requested amount of medicines; and to reduce total lead times by at least one day compared to the ones obtained in the current practice. The model can be used as a decision-support tool for healthcare practitioners when responding to shortages. The study presents the managerial implications of medicine sharing at the network level and supports the development of collaboration amongst facilities in response to medicine shortages.

Journal of Infrastructure Policy and DevelopmentVol. 8(12)
Prince of Songkla University (TH), Management Sciences (United States) (US)
Partnerships for the goals
Openalex Percentile: Top 11%
Pharmaceutical Economics and Policy
1.13
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Mitigating anticipated medicine shortages through inter-facility medicine sharing — Suriyan Jomthanachai, Thamonwan Dankittikul · Journal of Infrastructure Policy and Development (2024) | TGRS Research Map | TGRS