Evidence map›Paper›PMID 31284381›Full record

ArticleInternational journal of environmental research and public health2019

Knowledge, Attitudes and Intentions to Prescribe Antibiotics: A Structural Equation Modeling Study of Primary Care Institutions in Hubei, China.

Chenxi Liu, Chaojie Liu, Dan Wang, Xinping Zhang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
–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

42 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Assessment of Healthcare Professionals' and Students' Perspectives and Intentions for Raising Public Awareness and Comprehension of Antimicrobial Resistance.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
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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

4 authors.

Chenxi LiuSchool of Medicine and Health Management, Tongji Medical School, Huazhong University of Science and Technology, Wuhan 430030, China.
Chaojie LiuSchool of Psychology and Public Health, La Trobe University, Melbourne, Victoria 3083, Australia.ORCID 0000-0003-0877-0424
Dan WangSchool of Medicine and Health Management, Tongji Medical School, Huazhong University of Science and Technology, Wuhan 430030, China.
Xinping ZhangSchool of Medicine and Health Management, Tongji Medical School, Huazhong University of Science and Technology, Wuhan 430030, China. xpzhang602@hust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this paper is to measure the knowledge and attitudes of primary care physicians toward antibiotic prescriptions and their impacts on antibiotic prescribing. A questionnaire survey was conducted on 625 physicians from 67 primary care facilities in Hubei, China. Structural equation modelling (SEM) was applied to test the theoretical framework derived from the Knowledge, Attitudes, and Practices (KAP) theory. Physicians' knowledge, five sub-types of attitudes, and three sub-types of behavioral intentions towards antibiotic use were measured. Physicians had limited knowledge about antibiotic prescriptions (average 54.55% correct answers to 11 questions). Although they were generally concerned about antibiotic resistance (mean = 1.28, SD = 0.43), and were reluctant to be submissive to pressures from consumer demands for antibiotics (mean = 1.29, SD = 0.65) and the requirements of defensive practice (mean = 1.11, SD = 0.63), there was a lack of motivation to change prescribing practices (mean = -0.29, SD = 0.70) and strong agreement that other stakeholders should take the responsibility (mean = -1.15, SD = 0.45). The SEM results showed that poor knowledge, unawareness of antibiotic resistance, and limited motivation to change contributed to physicians' high antibiotics prescriptions (

Indexed as

AttitudeClinical CompetenceIntentionAnti-Bacterial AgentsChinaHumansLatent Class AnalysisPhysicians, Primary CarePractice Patterns, Physicians'Anti-Bacterial AgentsantibioticsKnowledge-Attitude-Practiceprescribing behaviorprimary carestructural equation modelling

Identifiers

PMID31284381
PMCPMC6651188

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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.