Evidence map›Paper›PMID 35192665›Full record

ArticlePloS one2022

Prevalence, acceptability, and cost of routine screening for pulmonary tuberculosis among pregnant women in Cotonou, Benin.

Mênonli Adjobimey, Serge Ade, Prudence Wachinou, Marius Esse, Lydia Yaha, Wilfried Bekou, Jonathon R Campbell, Narcisse Toundoh, Omer Adjibode, Geoffroy Attikpa and 3 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Sources of knowledge empowerment amongst pregnant women with TB disease: A qualitative study in South Africa.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  10. Article
  11. Review
  12. Article
  13. Tuberculosis in pregnancy.Best practice & research. Clinical obstetrics & gynaecology · 2022
    Review
  14. Article
  15. 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

13 authors at 5 institutions in 3 countries.

Mênonli AdjobimeyNational Tuberculosis Program, Cotonou, Benin.
Serge AdeNational Tuberculosis Program, Cotonou, Benin.
Prudence WachinouNational Tuberculosis Program, Cotonou, Benin.
Marius EsseNational Tuberculosis Program, Cotonou, Benin.
Lydia YahaNational Tuberculosis Program, Cotonou, Benin.
Wilfried BekouNational Tuberculosis Program, Cotonou, Benin.
Jonathon R CampbellDepartment of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada.ORCID 0000-0003-2341-2166
Narcisse ToundohNational Tuberculosis Program, Cotonou, Benin.
Omer AdjibodeNational Tuberculosis Program, Cotonou, Benin.
Geoffroy AttikpaFaculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin.
Gildas AgodokpessiNational Tuberculosis Program, Cotonou, Benin.
Dissou AffolabiNational Tuberculosis Program, Cotonou, Benin.
Corinne S MerleSpecial Programme for Research & Training in Tropical Diseases (TDR), World Health Organization, Geneva, Switzerland.ORCID 0000-0003-4229-365X
Progamme National Contre le Tuberculose · BJUniversité d'Abomey-Calavi · BJMcGill University · CAUniversité de Parakou · BJWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

objectivesWe sought to evaluate the yield, cost, feasibility, and acceptability of routine tuberculosis (TB) screening of pregnant women in Cotonou, Benin.

designMixed-methods, cross-sectional study with a cost assessment.

settingEight participating health facilities in Cotonou, Benin.

participantsConsecutive pregnant women presenting for antenatal care at any participating site who were not in labor or currently being treated for TB from April 2017 to April 2018.

interventionsScreening for the presence of TB symptoms by midwives and Xpert MTB/RIF for those with cough for at least two weeks. Semi-structured interviews with 14 midwives and 16 pregnant women about experiences with TB screening. PRIMARY AND SECONDARY OUTCOME MEASURES: Proportion of pregnant women with cough of at least two weeks and/or microbiologically confirmed TB. The cost per pregnant woman screened and per TB case diagnosed in 2019 USD from the health system perspective.

resultsOut of 4,070 pregnant women enrolled in the study, 94 (2.3%) had a cough for at least two weeks at the time of screening. The average (standard deviation) age of symptomatic women was 26 ± 5 years and 5 (5.3%) had HIV. Among the 94 symptomatic women, 2 (2.3%) had microbiologically confirmed TB for a TB prevalence of 49 per 100,000 (95% CI: 6 to 177 per 100,000) among pregnant women enrolled in the study. The average cost to screen one pregnant woman for TB was $1.12 USD and the cost per TB case diagnosed was $2271 USD. Thematic analysis suggested knowledge of TB complications in pregnancy was low, but that routine TB screening was acceptable to both midwives and pregnant women.

conclusionEnhanced screening for TB among pregnant women is feasible, acceptable, and inexpensive per woman screened, however in this setting has suboptimal yield even if it can contribute to enhance TB case finding.

Indexed as

Pregnant PeopleAdolescentAdultBeninCosts and Cost AnalysisFemaleHumansMass ScreeningMiddle AgedPregnancyPregnancy ComplicationsPrevalenceTuberculosis, Pulmonary

Identifiers

PMID35192665
PMCPMC8863221
OpenAlexW4213428279

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.