Evidence map›Paper›PMID 42210147›Full record

ArticleBMC primary care2026

Role of diagnostic testing in reducing unnecessary antibiotic use for upper respiratory tract infections in Chinese primary healthcare: a mixed-methods study.

Chengzhou Tang, Yushan Zhang, Muhtar Kadirhaz, Sen Xu, Yunshu Lu, Iltaf Hussain, Wei Zhao, Yi Dong, Jiaxu Lin, Runfang Mu and 4 more

Abstract read
In one paragraph

Article in BMC primary care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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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

14 authors.

Chengzhou Tang *Department of Pharmacy Administration, School of Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Yushan Zhang *Department of Pharmacy Administration, School of Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Muhtar Kadirhaz *Department of Pharmacy Administration, School of Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Sen XuDepartment of Pharmacy Administration, School of Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Yunshu LuDepartment of Pharmacy Administration, School of Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Iltaf HussainDepartment of Pharmacy Administration, School of Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Wei ZhaoDepartment of Pharmacy Administration, School of Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Yi DongDepartment of Pharmacy Administration, School of Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Jiaxu LinDepartment of Pharmacy Administration, School of Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Runfang MuDepartment of Pharmacy Administration, School of Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Yang ZhaoProgramme in Health Services Research & Population Health, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
Mingwang ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Yu FangDepartment of Pharmacy Administration, School of Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Jie ChangDepartment of Pharmacy Administration, School of Pharmacy, Xi'an Jiaotong University, Xi'an, China. jiechang@xjtu.edu.cn.

Funding

National Natural Science Foundation of China 72274150
6 · The paper itself

Abstract

backgroundsAntimicrobial resistance (AMR) is a growing global concern, driven by inappropriate antibiotic use, particularly in primary healthcare(PHC). The treatment of upper respiratory tract infections (URTIs), which are mostly of viral etiology, is a major source of such misuse. Limited access to diagnostic tools may contribute to unnecessary prescribing. This study examines whether the availability of diagnostic tools reduces unnecessary antibiotic use for URTIs in primary healthcare settings of China, with particular attention to facility-level availability of C-reactive protein (CRP) testing.

methodsA mixed-methods approach was employed, integrating a cross-sectional survey of general practitioners (GPs) with an analysis of their prescription records and in-depth interviews with a subset of GPs. Quantitative analysis involved descriptive statistics and multilevel logistic regression to assess whether facility-level availability of CRP testing was associated with antibiotic prescribing for URTIs, whereas qualitative interviews explored the contextual influences on clinical decision-making.

resultsA total of 108 general practitioners from 30 PHC facilities filled out the questionnaires. Records of 12,489 prescriptions for URTI issued by these physicians were retrieved, of which 7,706 contained at least one antibiotic, with a URTI antibiotic prescribing rate of 61.7%. Among the 30 PHC facilities, 11 (36.7%) were equipped with CRP testing. Multilevel logistic regression models showed that CRP-test availability was associated with lower odds of antibiotic prescribing for URTIs (OR = 0.74; 95%CI:0.56-0.98; p = 0.033). Interviews with GPs revealed that limited access to diagnostic tools increased uncertainty in clinical decision-making, whereas access to such tools supported more evidence-informed prescribing and improved communication with patients.

conclusionsC-reactive protein testing and other diagnostic tools play an important role in enabling rational antibiotic prescribing in PHC facilities. Strengthening diagnostic capacity and ensuring ongoing professional training for GPs represent essential strategies to curb inappropriate antibiotic use, mitigating the progression of antimicrobial resistance.

Indexed as

Anti-Bacterial AgentsInappropriate PrescribingPractice Patterns, Physicians'Primary Health CareRespiratory Tract InfectionsAdultAgedAged, 80 and overChinaC-Reactive ProteinCross-Sectional StudiesFemaleHumansMaleMiddle AgedAnti-Bacterial AgentsC-Reactive ProteinAntibiotic useAntimicrobial resistanceDiagnostic toolsPrimary healthcareUpper respiratory tract infections

Identifiers

PMID42210147
PMCPMC13417845

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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.