Evidence map›Paper›PMID 38789991›Full record

ArticleBMC public health2024

Incomplete tuberculosis reporting and registration to the surveillance system in southwestern China of Yunnan Province: an inventory survey.

Jinou Chen, Yubing Qiu, Wei Wu, Ying Pan, Rui Yang, Ling Li, Yunbin Yang, Kunyun Lu, Lin Xu

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

9 authors.

Jinou ChenYunnan Center for Disease Control and Prevention, Kunming, China.
Yubing QiuYunnan Center for Disease Control and Prevention, Kunming, China.
Wei WuYunnan Center for Disease Control and Prevention, Kunming, China.
Ying PanYunnan Center for Disease Control and Prevention, Kunming, China.
Rui YangYunnan Center for Disease Control and Prevention, Kunming, China.
Ling LiYunnan Center for Disease Control and Prevention, Kunming, China.
Yunbin YangYunnan Center for Disease Control and Prevention, Kunming, China.
Kunyun LuYunnan Center for Disease Control and Prevention, Kunming, China.
Lin XuYunnan Center for Disease Control and Prevention, Kunming, China. xulinth@hotmail.com.

Funding

Yunnan health training project of high level talents Grant NO. H-2019027
6 · The paper itself

Abstract

backgroundThe real-world tuberculosis (TB) surveillance data was generally incomplete due to underreporting and underdiagnosis. The inventory study aimed to assess and quantify the incompletion of surveillance systems in southwestern China.

methodsThe inventory study was conducted at randomly selected health facilities (HF) by multi-stage stratified cluster sampling. The participants were included in the period between August of 2020 in province-level and prefecture-level HF, and in the period between June to December of 2020 in other categories of HF respectively. The clinical committee confirmed medical records were matched to the National Notifiable Disease Reporting System (NNDRS) and the Tuberculosis Information Management System (TBIMS) to define the report and register status. The underreporting and under-register rates were evaluated based on the matched data, and factors associated with underreport and under-register were assessed by the 2-level logistic multilevel model (MLM).

resultsWe enrolled 7,749 confirmed TB cases in the analysis. The province representative overall underreport rate to NNDRS was 1.6% (95% confidence interval, 95% CI, 1.3 - 1.9), and the overall under-register rate to TBIMS was 9.6% (95% CI, 8.9-10.3). The various underreport and under-register rates were displayed in different stratifications of background TB disease burden, HF level, HF category, and data source of the medical record in HF among prefectures of the province. The intraclass correlation coefficient (ICC) was 0.57 for the underreporting null MLM, indicating the facility-level cluster effect contributes a great share of variation in total variance. The two-level logistic MLM showed the data source of medical records in HF, diagnostic category of TB, and type of TB were associated with underreporting by adjusting other factors (p < 0.05). The ICC for under-register was 0.42, and the HF level, HF category, data source of medical records in HF, diagnostic category of TB and type of TB were associated with under-register by adjusting other factors (p < 0.05).

conclusionThe inventory study depicted incomplete TB reporting and registering to NNDRS and TBIMS in southwestern China. It implied that surveillance quality improvement would help advance the TB prevention and control strategy.

Indexed as

RegistriesTuberculosisAdolescentAdultAgedChinaDisease NotificationFemaleHumansMaleMiddle AgedPopulation SurveillanceYoung AdultRegisterReportSurveillanceTuberculosis

Identifiers

PMID38789991
PMCPMC11127390

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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.