Evidence map›Paper›PMID 34574349›Full record

ArticleInternational journal of environmental research and public health2021

A Multi-Faceted Approach to Tuberculosis Active Case Finding among Remote Riverine Communities in Southern Nigeria.

Andy Samuel Eyo, Valerie Okon Obot, Okezie Onyedinachi, Nathaly Aguilera Vasquez, Jacob Bigio, Ataulhaq Sanaie, Favour Beulah, Uduak Ette, Dennis Uju, Md Toufiq Rahman

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  6. Review
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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

10 authors.

Andy Samuel EyoExcellence Community Education Welfare Scheme (ECEWS), Uyo 520231, Nigeria.
Valerie Okon ObotExcellence Community Education Welfare Scheme (ECEWS), Uyo 520231, Nigeria.
Okezie OnyedinachiExcellence Community Education Welfare Scheme (ECEWS), Uyo 520231, Nigeria.
Nathaly Aguilera VasquezMcGill International TB Center, Research Institute of the McGill University Health Center, Montreal, QC H3G 1A4, Canada.ORCID 0000-0002-1019-8597
Jacob BigioMcGill International TB Center, Research Institute of the McGill University Health Center, Montreal, QC H3G 1A4, Canada.ORCID 0000-0003-2929-4252
Ataulhaq SanaieTB REACH External M&E Reviewer, London E11 4DP, UK.
Favour BeulahExcellence Community Education Welfare Scheme (ECEWS), Uyo 520231, Nigeria.
Uduak EtteExcellence Community Education Welfare Scheme (ECEWS), Uyo 520231, Nigeria.
Dennis UjuExcellence Community Education Welfare Scheme (ECEWS), Uyo 520231, Nigeria.
Md Toufiq RahmanStop TB Partnership, 1218 Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nigeria accounts for 11% of the worldwide gap between estimated and reported individuals with tuberculosis (TB). Hard-to-reach communities on the Southern Nigeria coast experience many difficulties accessing TB services. We implemented an active case finding (ACF) intervention in Akwa Ibom and Cross River states utilizing three approaches: house-to-house/tent-to-tent screening, community outreach and contact investigation. To evaluate the impact, we compared TB notifications in intervention areas to baseline and control population notifications, as well as to expected notifications based on historical trends. We also gathered field notes from discussions with community volunteers who provided insights on their perspectives of the intervention. A total of 509,768 individuals were screened of which 12,247 (2.4%) had TB symptoms and 11,824 (96.5%) were tested. In total, 1015 (8.6%) of those identified as presumptive had confirmed TB-98.2% initiated treatment. Following implementation, TB notifications in intervention areas increased by 112.9% compared to baseline and increased by 138.3% when compared to expected notifications based on historical trends. In contrast, control population notifications increased by 101% and 49.1%, respectively. Community volunteers indicated a preference for community outreach activities. Multi-faceted, community-based interventions in Nigeria's coastal areas successfully increase TB detection for communities with poor access to health services.

Indexed as

TuberculosisCommunity-Institutional RelationsDelivery of Health CareHumansMass ScreeningNigeriaactive case findingcommunity-basedtuberculosis

Identifiers

PMID34574349
PMCPMC8472435

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Registered trials

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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.