Preparation of chemotherapy drugs: Planning policy for reduced waiting times

Inge H.J. Masselink, Thomas L.C. van der Mijden, Nelly Litvak, Peter T. Vanberkel

Research output: Contribution to journalArticleAcademicpeer-review

14 Citations (Scopus)

Abstract

This study investigates the impact of pharmacy policies on patient waiting time in the Chemotherapy Day Unit of the Netherland Cancer Institute - Antoni van Leeuwenhoek hospital (NKI-AVL). The project evaluated whether a reduction in waiting time resulting from medication orders being prepared in advance of patient appointments was justified, given that medications prepared in advance risked being wasted if patients arrived too sick for treatment. Within this context, we derive explicit expressions to approximate patient waiting times and wastage costs allowing management to see the tradeoff between these two metrics for different policies. Using a case study and a simulation model, the approximations are evaluated. The explicit expressions allow the analysis to be easily repeated when medication costs change or when new medications/protocols are introduced. In the same vein, other hospitals with different patient case mixes can easily complete the analysis in their setting. Finally, the outcome from this study resulted in a new policy at the cancer centre which is expected to decrease the waiting time by half while only increasing pharmacy’s costs by 1-2%.
Original languageEnglish
Pages (from-to)181-187
Number of pages7
JournalOmega
Volume40
Issue number2
DOIs
Publication statusPublished - 2012

Fingerprint

Policy planning
Drugs
Preparation
Waiting time
Chemotherapy
Medication
Cancer
Costs
Trade-offs
Approximation
Case mix
Cost management
Simulation model
The Netherlands

Keywords

  • Queueing systems
  • Stochastic modelling
  • Pharmacy
  • Chemotherapy

Cite this

Masselink, I. H. J., van der Mijden, T. L. C., Litvak, N., & Vanberkel, P. T. (2012). Preparation of chemotherapy drugs: Planning policy for reduced waiting times. Omega, 40(2), 181-187. https://doi.org/10.1016/j.omega.2011.05.003
Masselink, Inge H.J. ; van der Mijden, Thomas L.C. ; Litvak, Nelly ; Vanberkel, Peter T. / Preparation of chemotherapy drugs : Planning policy for reduced waiting times. In: Omega. 2012 ; Vol. 40, No. 2. pp. 181-187.
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Masselink, IHJ, van der Mijden, TLC, Litvak, N & Vanberkel, PT 2012, 'Preparation of chemotherapy drugs: Planning policy for reduced waiting times' Omega, vol. 40, no. 2, pp. 181-187. https://doi.org/10.1016/j.omega.2011.05.003

Preparation of chemotherapy drugs : Planning policy for reduced waiting times. / Masselink, Inge H.J.; van der Mijden, Thomas L.C.; Litvak, Nelly; Vanberkel, Peter T.

In: Omega, Vol. 40, No. 2, 2012, p. 181-187.

Research output: Contribution to journalArticleAcademicpeer-review

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T2 - Planning policy for reduced waiting times

AU - Masselink, Inge H.J.

AU - van der Mijden, Thomas L.C.

AU - Litvak, Nelly

AU - Vanberkel, Peter T.

PY - 2012

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AB - This study investigates the impact of pharmacy policies on patient waiting time in the Chemotherapy Day Unit of the Netherland Cancer Institute - Antoni van Leeuwenhoek hospital (NKI-AVL). The project evaluated whether a reduction in waiting time resulting from medication orders being prepared in advance of patient appointments was justified, given that medications prepared in advance risked being wasted if patients arrived too sick for treatment. Within this context, we derive explicit expressions to approximate patient waiting times and wastage costs allowing management to see the tradeoff between these two metrics for different policies. Using a case study and a simulation model, the approximations are evaluated. The explicit expressions allow the analysis to be easily repeated when medication costs change or when new medications/protocols are introduced. In the same vein, other hospitals with different patient case mixes can easily complete the analysis in their setting. Finally, the outcome from this study resulted in a new policy at the cancer centre which is expected to decrease the waiting time by half while only increasing pharmacy’s costs by 1-2%.

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