Evidence map›Paper›PMID 29187248›Full record

ArticleBMC research notes2017

Operational research within the national tuberculosis control programme in Benin.

Serge Ade, Dissou Affolabi, Mênonli Adjobimey, Gabriel Ade, Sévérin Anagonou, Ajay M V Kumar, Anthony D Harries

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2017. 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
5.3field-weighted citation impact, top 4% 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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

7 authors at 3 institutions in 3 countries.

Serge AdeFaculté de Médecine, Université de Parakou, Parakou, Benin. adeserg@yahoo.fr.
Dissou AffolabiProgramme National Contre la Tuberculose, 02BP: 8022, Cotonou, Benin.
Mênonli AdjobimeyProgramme National Contre la Tuberculose, 02BP: 8022, Cotonou, Benin.
Gabriel AdeProgramme National Contre la Tuberculose, 02BP: 8022, Cotonou, Benin.
Sévérin AnagonouProgramme National Contre la Tuberculose, 02BP: 8022, Cotonou, Benin.
Ajay M V KumarInternational Union Against Tuberculosis and Lung Disease, Paris, France.
Anthony D HarriesInternational Union Against Tuberculosis and Lung Disease, Paris, France.
Progamme National Contre le Tuberculose · BJInternational Union Against Tuberculosis and Lung Disease · FRLondon School of Hygiene & Tropical Medicine · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo document whether the placement of operational research (OR) fellows within disease control programmes in low and middle income countries leads to the implementation of operational research and improvements in policy and practice.

resultIn 2012, an OR fellow was placed within the National TB Programme, Benin, to strengthen the implementation of operational research. From 2012 to 2015, eight OR projects were implemented, of which three contributed to changes in programme practice and five provided information which was not previously available from quarterly/annual reports. Two of these projects-one on the burden and treatment outcomes of childhood TB and one on tracing patients who had discontinued treatment-are discussed in more detail. OR should be strongly encouraged within national TB programme settings and an OR fellow facilitates this process.

Indexed as

Operations ResearchAntitubercular AgentsBeninDeveloping CountriesHumansTuberculosisAntitubercular AgentsBeninChildhood TBOperational researchTB control programmesTuberculosis

Identifiers

PMID29187248
PMCPMC5708179
OpenAlexW2769174768

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.