Evidence map›Paper›PMID 32552712›Full record

ArticleBMC public health2020

Coverage of tuberculosis and diabetes mellitus screening among household contacts of tuberculosis patients: a household-based cross-sectional survey from Southern Thailand.

Myo Minn Oo, Nattaporn Tassanakijpanich, Moe Hnin Phyu, Nanda Safira, Shashi Kandel, Kemmapon Chumchuen, Li Mei Zhang, Hnin Aye Kyu, Porraporn Sriwannawit, Bintinee Bilmumad and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 49% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. Article
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

16 authors at 1 institution in 3 countries.

Myo Minn OoEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Nattaporn TassanakijpanichEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Moe Hnin PhyuEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Nanda SafiraEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Shashi KandelEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Kemmapon ChumchuenEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Li Mei ZhangEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Hnin Aye KyuEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Porraporn SriwannawitEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Bintinee BilmumadEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Li CaoEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Yingwu GuoEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Jarawee SukmaneeEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Vu Manh CuongEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Virasakdi ChongsuvivatwongEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Edward B McNeilEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand. edward.m@psu.ac.th.ORCID http://orcid.org/0000-0002-9492-1040
Prince of Songkla University · TH

Funding

TB/MDR-TB Research training and Capacity Strengthening for LMIC in Southeast Asia Phase II: Promotion of Diversity, Equity and Inclusion (DEI)D43TW009522 · FIC · PRINCE OF SONGKLA UNIVERSITY · PI Virasakdi Chongsuvivatwong · 2015 to 2026
$3.0M
FIC NIH HHS D43 TW009522
6 · The paper itself

Abstract

backgroundThe comorbid presence of tuberculosis and diabetes mellitus has become an increasingly important public health threat to the prevention and control of both diseases. Thus, household contact investigation may serve a dual purpose of screening for both tuberculosis and diabetes mellitus among household contacts. We therefore aimed to evaluate the coverage of screening for tuberculosis and diabetes mellitus among household contacts of tuberculosis index cases and to determine predictors of tuberculosis screening.

methodsA household-based survey was conducted in February 2019 in Muang district of Phatthalung Province, Thailand where 95 index tuberculosis patients were newly diagnosed with pulmonary or pleural tuberculosis between October 2017 and September 2018. Household contacts of the index patients were interviewed using a structured questionnaire to ascertain their past-year history of tuberculosis screening and, if appropriate, diabetes mellitus screening. For children, the household head or an adult household member was interviewed as a proxy. Coverage of tuberculosis screening at the household level was regarded as households having all contacts screened for tuberculosis. Logistic regression and mixed-effects logistic regression models were used to determine predictors of tuberculosis screening at the household and individual levels, respectively, with the strengths of association presented as adjusted odds ratios (AOR) and 95% confidence intervals (CI).

resultsOf 61 responding households (64%), complete coverage of tuberculosis screening at the household level was 34.4% and among the 174 household contacts was 46.6%. About 20% of contacts did not receive any recommendation for tuberculosis screening. Households were more likely to have all members screened for tuberculosis if they were advised to be screened by a healthcare professional rather than someone else. At the individual level, contacts aged ≥35 years (AOR: 30.6, 95% CI: 2.0-466.0), being an employee (AOR: 0.1, 95% CI: 0.0-0.8) and those who had lived more than 5 years in the same household (AOR: 0.1, 95% CI: 0.0-0.8) were independent predictors for tuberculosis screening. Coverage of diabetes mellitus screening was 80.6% with lack of awareness being the main reason for not being screened.

conclusionsCompared to diabetes screening, the coverage of tuberculosis screening was low. A better strategy to improve coverage of tuberculosis contact screening is needed.

Indexed as

Family CharacteristicsAdolescentAdultAgedChildContact TracingCross-Sectional StudiesDiabetes MellitusFemaleHumansInfantLogistic ModelsMaleMass ScreeningOdds RatioOutcome and Process Assessment, Health CareCoverage of diabetesCoverage of tuberculosisDiabetes screeningHousehold contact investigationPredictorsThailandTuberculosis screening

Identifiers

PMID32552712
PMCPMC7301490
OpenAlexW3036796826

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.