Evidence map›Paper›PMID 35361143›Full record

ArticleBMC infectious diseases2022

Knowledge, attitude, and practices regarding childhood tuberculosis detection and management among health care providers in Cambodia: a cross-sectional study.

Yom An, Alvin Kuo Jing Teo, Chan Yuda Huot, Sivanna Tieng, Kim Eam Khun, Sok Heng Pheng, Chhenglay Leng, Serongkea Deng, Ngak Song, Sotheara Nop and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% 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.

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 4 countries.

Yom AnSustaining Technical and Analytical Resources (STAR Project), United States Agency for International Development, Phnom Penh, Cambodia. anyomniph@gmail.com.
Alvin Kuo Jing TeoSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Chan Yuda HuotNational Centre for Tuberculosis and Leprosy Control, Phnom Penh, Cambodia.
Sivanna TiengNational Centre for Tuberculosis and Leprosy Control, Phnom Penh, Cambodia.
Kim Eam KhunSchool of Public Health, National Institute of Public Health, Phnom Penh, Cambodia.
Sok Heng PhengNational Centre for Tuberculosis and Leprosy Control, Phnom Penh, Cambodia.
Chhenglay LengNational Centre for Tuberculosis and Leprosy Control, Phnom Penh, Cambodia.
Serongkea DengWorld Health Organization, Phnom Penh, Cambodia.
Ngak SongUnited States Agency for International Development, Phnom Penh, Cambodia.
Sotheara NopUnited States Agency for International Development, Phnom Penh, Cambodia.
Daisuke NonakaDepartment of Global Health, Graduate School of Health Sciences, Faculty of Medicine, University of the Ryukyus, Okinawa, Japan.
Siyan YiSchool of Public Health, National Institute of Public Health, Phnom Penh, Cambodia.
Cambodia National Malaria Center · KHUnited States Agency for International Development · USNational University Health System · SGNational University of Singapore · SGUniversity of the Ryukyus · JP

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe World Health Organization (WHO) estimated that 29% of global tuberculosis (TB) and almost 47% of childhood TB cases were not reported to national TB programs in 2019. In Cambodia, most childhood TB cases were reported from health facilities supported by the Global Fund to Fight AIDS, Tuberculosis, and Malaria in 2019. This study aimed to compare the healthcare providers' knowledge, attitude, and practices (KAP) on childhood TB case detection in operational districts (ODs) with high and low childhood TB case detection in Cambodia.

methodsWe conducted a cross-sectional study between November and December 2020 among healthcare providers in 10 purposively selected ODs with high childhood TB case detection and 10 ODs with low childhood TB case detection. A total of 110 healthcare providers from referral hospitals (RHs) and 220 from health centers (HCs) were interviewed. We collected information on socio-demographic characteristics, training, and KAP on childhood TB. Pearson's Chi-square or Fisher's exact and Student's t-tests were performed to explore the differences in KAP of healthcare providers from ODs with low vs. high childhood TB detection.

resultsOf the 330 respondents, 193 were from ODs with high childhood TB case detection, and 66.67% were from HCs. A significantly higher proportion (46.11%) of respondents from ODs with high childhood TB case detection received training on childhood TB within the past two years than those from low childhood TB case detection ODs (34.31%) (p = 0.03). Key knowledge on childhood TB was not significantly different among respondents from ODs with high and low childhood TB case detection. A significantly higher proportion of respondents from ODs with high childhood TB case detection had a good attitude (98.96 vs. 97.08%, p = 0.002) and performed good practices (58.55 vs. 45.26%, p = 0.02) on contact investigation in the community than those from low childhood TB case detection ODs.

conclusionsHealthcare providers from ODs with high childhood TB detection had better attitudes and practices towards childhood TB. The attitudes and practices need to be improved among healthcare providers in ODs with low case detection. Further investment in training and experience sharing on childhood TB case detection among healthcare providers is needed to improve childhood TB case detection.

Indexed as

Health Knowledge, Attitudes, PracticeTuberculosisCambodiaCross-Sectional StudiesHealth PersonnelHumansSurveys and QuestionnairesCase detectionChildhood tuberculosisInfectious diseasesKnowledge, attitude and practicesSoutheast Asia

Identifiers

PMID35361143
PMCPMC8969333
OpenAlexW4226086183

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.