Evidence map›Paper›PMID 40896742›Full record

ArticleJournal of research in pharmacy practice

Effect of a Medication Decision Support System on Albumin Prescribing: A Pre-post Study in Intensive Care Units of Imam Reza Hospital, Mashhad, Iran.

Naghme Dashti, Hesamoddin Hosseinjani, Saeid Eslami, Seyed Mohammad Tabatabaei, Hasan Vakili Arki

Abstract read
In one paragraph

Article in Journal of research in pharmacy practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Naghme DashtiDepartment of Medical Informatics, Mashhad University of Medical Sciences, Mashhad, Iran.
Hesamoddin HosseinjaniDepartment of Clinical Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
Saeid EslamiDepartment of Medical Informatics, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyed Mohammad TabatabaeiDepartment of Medical Informatics, Mashhad University of Medical Sciences, Mashhad, Iran.
Hasan Vakili ArkiDepartment of Medical Informatics, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Medication Decision Support Systems (MDSS) are increasingly integrated into hospital information systems to reduce prescribing errors and enhance evidence-based clinical decision-making. This study evaluates the effect of MDSS implementation on albumin prescribing in two intensive care units (ICUs) at Imam Reza Hospital, Mashhad, Iran. Methods: A quasi-experimental pre-post design was applied. Albumin prescription data were collected over two 3-month phases, before and after MDSS implementation. Total population sampling was used. Statistical analyses included Chi-square and independent-sample Findings: A total of 311 albumin prescription requests were reviewed. Following MDSS implementation, 60.15% of alerts led to prescription modification. Guideline adherence improved significantly (from 47.64% to 68.26%, Conclusion: MDSS significantly improved guideline adherence and prescribing quality in ICU settings. However, system limitations such as alert fatigue and physician override in specific scenarios remain. Further research is warranted to evaluate MDSS scalability, long-term clinical impact, and application to broader drug categories.

Indexed as

Clinical decision-makingdrug utilization evaluationguideline adherencemedication decision support systempatient safety

Identifiers

PMID40896742
PMCPMC12396804

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Registered trials

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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.