Evidence map›Paper›PMID 29895262›Full record

ArticleBMC public health2018

Knowledge and determinants regarding tuberculosis among medical students in Hunan, China: a cross-sectional study.

Yangjiang Ou, Zhenzhou Luo, Jinsong Mou, Hui Ming, Xiang Wang, Shipeng Yan, Aichun Tan

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

11 citing papers in PubMed, 33 citations in OpenAlex.

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  8. The effect of WeChat-based training on improving the knowledge of tuberculosis management of rural doctors.Journal of clinical tuberculosis and other mycobacterial diseases · 2021
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  9. An IntegratedMedEdPORTAL : the journal of teaching and learning resources · 2021
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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

7 authors at 6 institutions in 1 country.

Yangjiang OuSchool Key Discipline of Nutrition and Food Hygiene, Public Health School, Changsha Medical University, Changsha, People's Republic of China.
Zhenzhou LuoDepartment of Dermatology and Venereology, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, People's Republic of China.
Jinsong MouShenzhen Pingshan Maternal and Child Health Hospital, Shenzhen, 518122, People's Republic of China. jinsong.mou@gmail.com.ORCID 0000-0003-2892-8305
Hui MingHunan Institute for Tuberculosis Control and Hunan Chest Hospital, Changsha, People's Republic of China.
Xiang WangYongzhou Center for Disease Control and Prevention, Yongzhou, People's Republic of China.
Shipeng YanHunan Province Cancer Hospital, Changsha, People's Republic of China.
Aichun TanXiangya School of Public Health, Central South University, Changsha, People's Republic of China.
Central South University · CNChangsha Medical University · CNHunan Cancer Hospital · CNHunan Province Chest Hospital · CNShenzhen Maternity and Child Healthcare Hospital · CNShenzhen Nanshan Center for Chronic Disease Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) is one of the most common infectious diseases worldwide. Insufficient TB knowledge may increase the risk of contracting the disease among medical students. The purpose of this study was to assess the level of TB knowledge and analyse related determinants among medical students.

methodsA cross-sectional study was performed among final-year medical students from three main undergraduate medical universities in Hunan Province. TB knowledge, attitude and practice were assessed using a questionnaire. A t-test and multiple linear regression analysis were conducted to explore the association between TB knowledge and influencing factors.

resultsThe total mean percentage of correct answers for TB knowledge was 44.4% (SD 13.5%), including 52.5% (SD 16.8%) for epidemiology and prevention, 35.7% (SD 16.1%) for diagnosis, and 47.5% (SD 22.7%) for treatment. Medical students who reported observing at least one TB case and an X-ray of a TB patient had a higher percentage of correct answers for epidemiology and prevention (54.4% vs 43.9%, p < 0.001; 54.3% vs 42.1%, p < 0.001), diagnosis (37.2% vs 29.0%, p < 0.001; 37.1% vs 27.5%, p < 0.001), treatment (50.0% vs 36.0%, p < 0.001; 49.5% vs 35.7%, p < 0.001) and total score (46.2% vs 36.2, p < 0.001; 46.0% vs 34.7%, p < 0.001). Older medical students (≥23 years) had greater knowledge than younger medical students (< 23 years) regarding diagnosis (37.2% vs 31.7%, p < 0.001). The multivariable linear regression analysis determined an association between observing at least one TB case and an X-ray of a TB patient and greater knowledge of epidemiology and prevention (β = 5.6, 95% CI: 2.3, 8.9; β = 8.2, 95% CI: 4.6, 11.8), diagnosis (β = 3.9, 95% CI: 0.8, 7.1; β = 5.7, 95% CI: 2.2, 9.2) and treatment (β = 10.1, 95% CI: 5.6, 14.5; β = 7.0, 95% CI: 2.2, 11.8) and a higher total score (β = 5.5, 95% CI: 2.9, 8.1; β = 6.6, 95% CI: 3.8, 9.5). Moreover, an older age (≥23 years) was associated with more accurate knowledge of diagnosis (β = 3.9, 95% CI: 1.8, 6.1) and a higher total score (β = 2.8, 95% CI: 1.1, 4.6).

conclusionPoor TB knowledge was observed among medical students, which implied a need to innovate our current infectious disease curriculum to promote TB knowledge and practices among medical students.

Indexed as

Attitude of Health PersonnelHealth Knowledge, Attitudes, PracticeAdultChinaCross-Sectional StudiesCurriculumFemaleHumansInfectious Disease MedicineMaleStudents, MedicalSurveys and QuestionnairesTuberculosisUniversitiesDeterminantsKnowledgeMedical studentsTuberculosis

Identifiers

PMID29895262
PMCPMC5998553
OpenAlexW2807735975

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.