Evidence map›Paper›PMID 33478452›Full record

Trial reportBMC public health2021

Effects of programmatic interventions to improve the management of latent tuberculosis: a follow up study up to five months after implementation.

Mercedes Yanes-Lane, Anete Trajman, Mayara Lisboa Bastos, Olivia Oxlade, Chantal Valiquette, Nathalia Rufino, Federica Fregonese, Dick Menzies

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Outcomes of TB contact tracing and predictors of success: a 10-year retrospective cohort analysis in Birmingham, UK.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023
    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

8 authors at 3 institutions in 2 countries.

Mercedes Yanes-LaneResearch Institute McGill University Health Centre, Montreal, Quebec, Canada.
Anete TrajmanResearch Institute McGill University Health Centre, Montreal, Quebec, Canada.
Mayara Lisboa BastosResearch Institute McGill University Health Centre, Montreal, Quebec, Canada.
Olivia OxladeResearch Institute McGill University Health Centre, Montreal, Quebec, Canada.
Chantal ValiquetteResearch Institute McGill University Health Centre, Montreal, Quebec, Canada.
Nathalia RufinoVector Bourne Diseases Department, Oswaldo Cruz Institute, Rio de Janeiro, Brazil.
Federica FregoneseResearch Institute McGill University Health Centre, Montreal, Quebec, Canada.
Dick MenziesResearch Institute McGill University Health Centre, Montreal, Quebec, Canada. dick.menzies@mcgill.ca.ORCID 0000-0003-1601-4514
McGill University Health Centre · CAFundação Oswaldo Cruz · BRUniversidade Federal do Rio de Janeiro · BR

Funding

CIHR FDN-143350
6 · The paper itself

Abstract

backgroundLess than 19% of those needing tuberculosis (TB) preventive treatment complete it, due to losses in several steps of the cascade of care for latent TB infection. A cluster randomized trial of a programmatic public health intervention to improve management of latent TB infection in household contacts was conducted in Rio de Janeiro. Interventions included contact registry, initial and in-service training, and a TB booklet. We conducted a follow-up study starting one month after the conclusion of this trial, to measure the effect of interventions implemented, and to identify remaining barriers and facilitators to latent TB infection treatment, from different perspectives.

methodsIn two health clinics in Rio de Janeiro that received the interventions in the trial, data for the latent TB infection cascade of care for household contacts was collected over a five-month period. The number of household contacts initiating treatment per 100 index-TB patients was compared with the cascade of care data obtained before and during the intervention trial. Semi-structured open-ended questionnaires were administered to healthcare workers, household contacts and index-TB patients regarding knowledge and perceptions about TB and study interventions.

resultsIn this follow-up study, 184 household contacts per 100 index-TB patients were identified. When compared to the intervention period, there were 65 fewer household contacts per 100 index-TB patients, (95% CI -115, - 15) but the number starting latent TB infection treatment was sustained (difference -2, 95% CI -8,5). A total of 31 index-TB patients, 22 household contacts and 19 health care workers were interviewed. Among index-TB patients, 61% said all their household contacts had been tested for latent TB infection. All health care workers said it was very important to test household contacts, and 95% mentioned that possessing correct knowledge on the benefits of latent TB infection treatment was the main facilitator to enable them to recommend this treatment.

conclusionIn this follow-up study, we observed a sustained effect of interventions to strengthen the latent TB infection cascade of care on increasing the number of household contacts starting latent TB infection treatment.

Indexed as

Latent TuberculosisBrazilContact TracingFollow-Up StudiesHealth PersonnelHumansPublic HealthCascade of careCluster randomized trialHealth care workersHousehold contactsLatent tuberculosisProgram evaluationTuberculosis preventive therapy

Identifiers

PMID33478452
PMCPMC7819253
OpenAlexW3122581821

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.