Evidence map›Paper›PMID 41794790›Full record

ArticleAntimicrobial resistance and infection control2026

Understanding antibiotic prescribing in the inpatient setting: a synthesis of evidence on determinants and interventions.

Sinan Ma, Ting Yang, Huangxin Gong, Jiatian Wang, Keyu Chen, Weijia Huang, Fei Xie, Haitao Wang, Li Zhang, Yan Wang

Abstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2026. 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

10 authors.

Sinan MaDepartment of Pharmacy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.
Ting YangDepartment of Pharmacy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.
Huangxin GongDepartment of Pharmacy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.
Jiatian WangDepartment of Pharmacy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.
Keyu ChenDepartment of Pharmacy, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.
Weijia HuangDepartment of Pharmacy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.
Fei XieXi'an Jiaotong University, Xi'an, 710004, China.
Haitao WangDepartment of Pharmacy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.
Li ZhangDepartment of Pharmacy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.
Yan WangDepartment of Pharmacy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China. wangyan0819@mail.xjtu.edu.cn.ORCID 0000-0002-6511-1495

Funding

Scientific Research Project Funding of National Natural Science Foundation of China 72274153the Innovation Capacity Support Plan of Shaanxi Province 2024ZC-KJXX-085the Xi'an Jiaotong University Medical Development Fund XJYG2025-SFJJ003
6 · The paper itself

Abstract

backgroundThere is an urgent need to optimize antimicrobial prescribing in the hospitalized setting, driven by the complexity of infection types, the high risk of antimicrobial resistance, and the potentially severe clinical consequences. However, the key determinants of physician prescribing behavior remain inconsistent, and the evidence regarding the effectiveness of interventions is still subject to debate.

methodsWe searched PubMed, Embase, Cochrane Library, and Web of Science up to July 5, 2025, to identify evidence on determinants of and interventions for antibiotic prescribing practices in the inpatient environment. Through a single-arm 3-level model, we quantified the influence of these determinants on prescription behavior. We employed a random-effects model to analyze the effect of interventions on prescription outcomes. Interventions were categorized by behavior change techniques, with the effectiveness rate calculated.

resultsA total of 59 studies were included, comprising 20 qualitative and 39 quantitative investigations. The findings indicated that 77.6%, 71.4%, and 64.2% of participants acknowledged the influence of environmental, prescriber, and patient factors, respectively. Interventions were associated with a 21% (RR = 1.21, 95% CI: 1.03-1.42) improvement in rational antimicrobial prescribing. Analysis of behavior change techniques identified "behavior feedback" as the most effective strategy (effectiveness rate = 3.5).

conclusionOur study shows that hospitalized physicians' antibiotic prescribing is shaped by multiple determinants, with contextual and environmental factors most frequently studied. Interventions generally improved prescribing in hospital settings. However, evidence from resource-limited settings remains sparse; rigorous, context-specific studies are needed to optimize prescribing in low- and middle-income countries.

Indexed as

Anti-Bacterial AgentsDrug PrescriptionsHumansPractice Patterns, Physicians'Anti-Bacterial AgentsAntimicrobial prescribingDeterminantsInpatient settingInterventions

Identifiers

PMID41794790
PMCPMC13081581

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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.