Evidence map›Paper›PMID 35379641›Full record

ArticleBMJ open2022

A feasibility study evaluating the uptake, effectiveness and acceptability of routine screening of pregnant migrants for latent tuberculosis infection in antenatal care: a research protocol.

A Rahman, Shakila Thangaratinam, Andrew Copas, D Zenner, Peter J White, Chris Griffiths, Ibrahim Abubakar, Christine McCourt, Heinke Kunst

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04098341 (Uptake, Effectiveness and Acceptability of Routine Screening of Pregnant Migrants for Latent Tuberculosis Infection in Antenatal Care), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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.

NCT04098341 nacompletednot on this map

Uptake, Effectiveness and Acceptability of Routine Screening of Pregnant Migrants for Latent Tuberculosis Infection in Antenatal Care: a Feasibility Study

TypeinterventionalSponsorQueen Mary University of LondonRan2019 to 2023Enrolled310ConditionsLatent TuberculosisArmsIGRA blood test used as a tool for opt-out screening for latent Tuberculsis infection
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 5 institutions in 1 country.

A RahmanBlizard Institute, Queen Mary University of London, London, UK ananna.rahman1@nhs.net.
Shakila ThangaratinamInstitute of Translational Medicine, Birmingham University, Birmingham, UK.
Andrew CopasInstitute for Global Health, UCL, London, UK.ORCID 0000-0001-8968-5963
D ZennerInstitute of Population Health Sciences, Queen Mary University of London, London, UK.
Peter J WhiteMRC Centre for Global Infectious Disease Analysis and NIHR Health Protection Research Unit in Modelling and Health Economics, Imperial College, London, UK.
Chris GriffithsInstitute of Population Health Sciences, Queen Mary University of London, London, UK.ORCID 0000-0001-7935-8694
Ibrahim AbubakarTuberculosis Section, Centre for Infections, Health Protection Agency, London, UK.ORCID 0000-0002-0370-1430
Christine McCourtDepartment of Midwifery and Child Health, City University London, London, UK.
Heinke KunstDepartment of Respiratory Medicine, Queen Mary University of London, London, UK.
Queen Mary University of London · GBCity, University of London · GBPublic Health England · GBUniversity College London · GBUniversity of Birmingham · GB

Funding

Department of HealthMedical Research Council MR/R015600/1
6 · The paper itself

Abstract

introductionGlobally, tuberculosis (TB) is a leading cause of death in women of reproductive age and there is high risk of reactivation of latent tuberculosis infection (LTBI) in pregnancy. The uptake of routine screening of migrants for LTBI in the UK in primary care is low. Antenatal care is a novel setting which could improve uptake and can lend insight into the feasibility and acceptability of offering opt-out screening for LTBI. METHODS AND ANALYSIS: This is an observational feasibility study with a nested qualitative component. The setting will be the antenatal clinics in three hospitals in East London, UK . Inclusion criteria are pregnant migrant women aged 16-35 years attending antenatal clinics who are from countries with a TB incidence of greater than 150/100 000 including sub-Saharan Africa, and who have been in the UK for less than 5 years. Participants will be offered LTBI screening with an opt-out interferon gamma release assay blood test, and be invited to complete a questionnaire. Both participants and healthcare providers will be invited to participate in semistructured interviews or focus groups to evaluate understanding, feasibility and acceptability of routine opt-out LTBI screening. The primary analysis will focus on estimating the uptake of the screening programme along with the corresponding 95% CI. Secondary analysis will focus on estimating the test positivity. Qualitative analysis will evaluate the acceptability of offering routine opt-out LTBI screening to participants and healthcare providers. ETHICS AND DISSEMINATION: The study has received the following approvals: Health Research Authority (IRAS 247388) and National Health Service Ethics Committee (19/LO/0557). The results will be made available locally to antenatal clinics and primary care physicians, nationally to NHS England and Public Health England and internationally through conferences and journals. TRIAL REGISTRATION NUMBER: NCT04098341.

Indexed as

Latent TuberculosisTransients and MigrantsAdolescentAdultFeasibility StudiesFemaleHumansObservational Studies as TopicPregnancyPrenatal CareState MedicineYoung AdultAntenatalPublic healthTuberculosis

Identifiers

PMID35379641
PMCPMC8981348
OpenAlexW4224323779

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.