A single-centre before-after study: implementing and evaluating drug life cycle management in pharmacy IV admixture service

Abstract Managing drug expiry and the usable period of finished infusions is a key component of medication safety in a pharmacy intravenous admixture service (PIVAS). We developed a pharmacy service model based on drug life cycle management (DLCM) and evaluated its preliminary effects on inventory and workflow indicators in a single-centre PIVAS. This single-centre, uncontrolled before-and-after quality-improvement study was conducted in the PIVAS of a tertiary general hospital in Chongqing, China. January 2024 served as the baseline month and February–May 2024 as the post-implementation period. The DLCM model comprised three phases: drug quality management based on a three-tiered information system integrating the hospital information system (HIS), an intelligent secondary storehouse, and a central scheduling machine; rational drug-use management including pharmacist prescription review, individualised infusion-batch decisions, and drug information management; and drug therapy management including finished-infusion beyond-use date (BUD) guidance, QR-code infusion prompts, real-time administration monitoring, and one-click medicine return. Outcomes included the near-expiry inventory rate, the proportion of near-expiry drug varieties, the configuration-to-administration interval (from configuration completion to infusion start), and clinical department satisfaction; each post-implementation month was compared with the January 2024 baseline. Compared with January 2024, the near-expiry inventory rate (by value) decreased from 4.91 to 2.05% in May 2024 (relative reduction 58.2%; Spearman ρ = − 1.0, P = 0.017), and the proportion of near-expiry varieties decreased from 6.04 to 3.04% (relative reduction 49.7%; Cochran–Armitage trend test, P = 0.012). The mean configuration-to-administration interval decreased from 206.8 min in January to 149.5 min in May 2024 (Welch’s t-test, P < 0.0001; Cohen’s d = 0.36), with significant reductions in all seven infusion batches. Overall clinical department satisfaction increased from 2.40 ± 0.74 to 4.33 ± 0.62 on a 5-point scale (paired t-test, P < 0.0001). Implementation of the DLCM-based PIVAS model was associated with improvements in selected inventory and workflow indicators and increased staff satisfaction during the four-month post-implementation period. Because of the single-centre uncontrolled design, the one-month baseline, and the absence of patient-level safety outcomes, these findings are preliminary and no causal conclusions can be drawn. Multicentre studies with longer follow-up and direct medication-safety measures are warranted.

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Publication Details

Journal
Scientific Reports
Published
2026-09-29
DOI
https://doi.org/10.1038/s41598-026-73000-0
Primary Topic
Pharmaceutical Practices and Patient Outcomes
Type
article
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article

A single-centre before-after study: implementing and evaluating drug life cycle management in pharmacy IV admixture service

Lai Wei, Shangjun Gu, Daiyi Li, Yan Lai
Scientific Reports
Pharmaceutical Practices and Patient Outcomes
article

A single-centre before-after study: implementing and evaluating drug life cycle management in pharmacy IV admixture service

Lai Wei, Shangjun Gu, Daiyi Li, Yan Lai
article en

Abstract

Abstract Managing drug expiry and the usable period of finished infusions is a key component of medication safety in a pharmacy intravenous admixture service (PIVAS). We developed a pharmacy service model based on drug life cycle management (DLCM) and evaluated its preliminary effects on inventory and workflow indicators in a single-centre PIVAS. This single-centre, uncontrolled before-and-after quality-improvement study was conducted in the PIVAS of a tertiary general hospital in Chongqing, China. January 2024 served as the baseline month and February–May 2024 as the post-implementation period. The DLCM model comprised three phases: drug quality management based on a three-tiered information system integrating the hospital information system (HIS), an intelligent secondary storehouse, and a central scheduling machine; rational drug-use management including pharmacist prescription review, individualised infusion-batch decisions, and drug information management; and drug therapy management including finished-infusion beyond-use date (BUD) guidance, QR-code infusion prompts, real-time administration monitoring, and one-click medicine return. Outcomes included the near-expiry inventory rate, the proportion of near-expiry drug varieties, the configuration-to-administration interval (from configuration completion to infusion start), and clinical department satisfaction; each post-implementation month was compared with the January 2024 baseline. Compared with January 2024, the near-expiry inventory rate (by value) decreased from 4.91 to 2.05% in May 2024 (relative reduction 58.2%; Spearman ρ = − 1.0, P = 0.017), and the proportion of near-expiry varieties decreased from 6.04 to 3.04% (relative reduction 49.7%; Cochran–Armitage trend test, P = 0.012). The mean configuration-to-administration interval decreased from 206.8 min in January to 149.5 min in May 2024 (Welch’s t-test, P < 0.0001; Cohen’s d = 0.36), with significant reductions in all seven infusion batches. Overall clinical department satisfaction increased from 2.40 ± 0.74 to 4.33 ± 0.62 on a 5-point scale (paired t-test, P < 0.0001). Implementation of the DLCM-based PIVAS model was associated with improvements in selected inventory and workflow indicators and increased staff satisfaction during the four-month post-implementation period. Because of the single-centre uncontrolled design, the one-month baseline, and the absence of patient-level safety outcomes, these findings are preliminary and no causal conclusions can be drawn. Multicentre studies with longer follow-up and direct medication-safety measures are warranted.

Scientific Reports
Second Affiliated Hospital of Chongqing Medical University (CN)
Responsible consumption and production
Openalex Percentile: Top 15%
Pharmaceutical Practices and Patient Outcomes
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