Evidence map›Paper›PMID 39031409›Full record

ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2024

Drug utilization reviews to reduce inappropriate drug use and pharmaceutical costs in inpatients based on diagnosis-related group data.

Wei Tian, Sheng Zhang, Yuan Gao, Yan Wang, Qianqian Cui

Abstract read
In one paragraph

Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Wei TianDepartment of Pharmacy, The First College of Clinical Medicine Science, Three Gorges University, Yichang, China.
Sheng ZhangDepartment of Pharmacy, The First College of Clinical Medicine Science, Three Gorges University, Yichang, China.
Yuan GaoDepartment of Pharmacy, The First College of Clinical Medicine Science, Three Gorges University, Yichang, China.
Yan WangDepartment of Pharmacy, The First College of Clinical Medicine Science, Three Gorges University, Yichang, China.
Qianqian CuiDepartment of Pharmacy, The First College of Clinical Medicine Science, Three Gorges University, Yichang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIrrational pharmacotherapy and increasing pharmacy costs remain major concerns in healthcare systems. Pharmacists are expected to employ diagnosis-related group (DRG) data to analyse inpatient pharmacy utilization.

objectiveThis project aimed to pilot an efficient pharmacist-led programme to analyse factors related to pharmacy expenses, evaluate the rational use of drugs in batch processing, and make further interventions based on DRG data.

methodsPatients from the OB25 (caesarean section without comorbidities or complications) DRG were selected in 2018, and the most relevant factors were identified through statistical analysis. Interventions were implemented by sending monthly reports on prescribing data and drug review results for the same DRGs to the department starting in 2019. Pre-post comparisons were conducted to demonstrate changes in pharmacy costs and appropriateness at a tertiary teaching hospital with 2,300 beds in China.

resultsA total of 1,110 patients were identified from the OB25 DRG data in 2018. Multivariate linear analysis indicated that the number of items prescribed and wards substantially influenced pharmacy expenditure. Drugs labelled as vital, essential, and non-essential revealed that 46.6% of total pharmacy costs were spent on non-essential drugs, whereas 38.7% were spent on vital drugs. The use of inappropriate pharmaceuticals and drug items was substantially reduced, and the average pharmacy cost after intervention was 336.7 RMB in 2020. The benefit-cost ratio of the programme was 9.86.

conclusionInterventions based on DRG data are highly efficient and feasible for reducing inpatient pharmacy costs and non-essential drug use.

Indexed as

Diagnosis-Related GroupsChinaDrug CostsDrug Utilization ReviewFemaleHospitals, TeachingHumansInappropriate PrescribingInpatientsMalePharmacy Service, HospitalTertiary Care Centerscost savingsDiagnosis-related groupspharmacist interventionprescribing behaviourrational use of drugs

Identifiers

PMID39031409
PMCPMC11612928

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.