Evidence map›Paper›PMID 40111584›Full record

ArticleInternational journal of clinical pharmacy2025

Cost-benefit analysis of pharmacist early active consultation in patients with multidrug-resistant bacteria in China.

Xuefeng Shan, Xiaoying Zheng, Hongmei Wang, Lingxi Kong, Youlan Shan, Jie Dong, Jinghui Gou, Guili Huang, Xin Xi, Qian Du

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Article in International journal of clinical pharmacy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

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

10 authors.

Xuefeng Shan *Department of Pharmacy, Bishan Hospital of Chongqing Medical University, Chongqing, 402760, People's Republic of China.
Xiaoying Zheng *Department of Pharmacy, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Hongmei WangDepartment of Pharmacy, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Lingxi KongDepartment of Pharmacy, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Youlan ShanDepartment of Infectious Disease, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, People's Republic of China.
Jie DongDepartment of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, 1 Shuanghu Branch Rd, Yubei District, Chongqing, 401120, People's Republic of China.
Jinghui GouDepartment of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, 1 Shuanghu Branch Rd, Yubei District, Chongqing, 401120, People's Republic of China.
Guili HuangDepartment of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, 1 Shuanghu Branch Rd, Yubei District, Chongqing, 401120, People's Republic of China.
Xin Xi *Department of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, 1 Shuanghu Branch Rd, Yubei District, Chongqing, 401120, People's Republic of China.
Qian Du *Department of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, 1 Shuanghu Branch Rd, Yubei District, Chongqing, 401120, People's Republic of China. duqian@hospital.cqmu.edu.cn.ORCID http://orcid.org/0000-0001-5986-9307

Funding

Bishan District Science and Technology Bureau of Chongqing BSKJ2024066Chongqing innovative medical device application demonstration project CQEIC2024MDAD-051The project in Bishan Hospital of Chongqing--Innovative team building based on evidence-based pharmacy BYKY-CX2023002
6 · The paper itself

Abstract

backgroundAlthough Pharmacist Early Active Consultation (PEAC) has demonstrated clinical benefits in patients with multidrug-resistant organisms (MDROs), its cost-effectiveness in China remains insufficiently studied.

aimThis study aimed to evaluate the cost-effectiveness of PEAC in patients with MDROs from the perspective of the Chinese healthcare system.

methodA historically controlled study was conducted on 100 MDRO-infected patients, including 37 who received PEAC and 63 who did not. The effective treatment rate and duration of the symptoms were assessed. A decision tree model was developed using model inputs derived from the study. The primary endpoints included incremental cost per MDRO treatment and incremental cost-effectiveness ratio (ICER). Uncertainty was evaluated using one-way and probabilistic sensitivity analysis.

resultsThe effective treatment rate increased to 89.1% in the PEAC group compared with 62.1% in the no-consultation group. Patients in the PEAC group experienced a 2.1-day shorter duration of symptoms than those without consultation (15.5 days vs. 17.6 days, P = 0.04). The base case analysis estimated that the PEAC group gained 0.189 quality-adjusted life years (QALYs) at a cost of $18,209.7, while the no-consultation group gained 0.177 QALYs at a cost of $23,831.1. The PEAC group was more cost-effective, yielding an ICER of - $475,499.0 per QALY gained. Probabilistic sensitivity analysis indicated that PEAC was cost-effective in 60.1% of cases, with costs remaining below the willingness-to-pay (WTP) threshold, supporting PEAC as a cost-effective strategy for managing MDRO infections.

conclusionPharmacist Early Active Consultation was a more cost-effective strategy than no consultation for treating MDRO infections in patients in China.

Indexed as

Anti-Bacterial AgentsCost-Benefit AnalysisDrug Resistance, Multiple, BacterialPharmacistsReferral and ConsultationAdultAgedChinaFemaleHumansMaleMiddle AgedProfessional RoleQuality-Adjusted Life YearsAnti-Bacterial AgentsCost-effectivenessDecision-tree modelInfection diseaseMultidrug-resistant organismPharmacist early active consultation

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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.