Evidence map›Paper›PMID 33716332›Full record

ArticleBulletin of the World Health Organization2021

Implementation of tuberculosis preventive treatment among people living with HIV, South Sudan.

Andrew T Boyd, Dennis Kenyi Lodiongo, John Mondi Benson, Shambel Aragaw, Margaret Semira Pasquale, Habtamu Ayalneh, Robert Olemukan, Isaac Avaku, Nicholas Baabe, Victoria Achut and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.0field-weighted citation impact, top 57% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Adverse pregnancy outcomes and complications of tuberculosis in pregnant women.Frontiers in cellular and infection microbiology · 2025
    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

12 authors at 4 institutions in 3 countries.

Andrew T BoydDivision of Global HIV and TB, Centers for Disease Control and Prevention, 1600 Clifton Road NE, US1-1, Atlanta, GA 30329, United States of America.
Dennis Kenyi LodiongoDivision of Global HIV and TB, Centers for Disease Control and Prevention (South Sudan), Juba, South Sudan.
John Mondi BensonDivision of Global HIV and TB, Centers for Disease Control and Prevention (South Sudan), Juba, South Sudan.
Shambel AragawInternational Center for AIDS Care and Treatment Programs (ICAP) South Sudan, Juba, South Sudan.
Margaret Semira PasqualeInternational Center for AIDS Care and Treatment Programs (ICAP) South Sudan, Juba, South Sudan.
Habtamu AyalnehInternational Center for AIDS Care and Treatment Programs (ICAP) South Sudan, Juba, South Sudan.
Robert OlemukanInternational Center for AIDS Care and Treatment Programs (ICAP) South Sudan, Juba, South Sudan.
Isaac AvakuInternational Center for AIDS Care and Treatment Programs (ICAP) South Sudan, Juba Teaching Hospital, Juba, South Sudan.
Nicholas BaabeUnited States Agency for International Development (South Sudan), Juba, South Sudan.
Victoria AchutHIV/AIDS/STI Directorate, Ministry of Health, Juba, South Sudan.
Helen ChunDivision of Global HIV and TB, Centers for Disease Control and Prevention, 1600 Clifton Road NE, US1-1, Atlanta, GA 30329, United States of America.
Sudhir BungaDivision of Global HIV and TB, Centers for Disease Control and Prevention (South Sudan), Juba, South Sudan.
Centers for Disease Control and Prevention · UGSudan International University · SDFederal Ministry of Health · SDUniversity of Juba · SS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe an intervention to scale up tuberculosis preventive treatment for people living with human immunodeficiency virus (HIV) in South Sudan, 2017-2020.

methodsStaff of the health ministry and United States President's Emergency Plan for AIDS Relief designed an intervention targeting the estimated 30 400 people living with HIV on antiretroviral therapy across South Sudan. The intervention comprised: (i) developing sensitization and operational guidance for clinicians to put tuberculosis preventive treatment delivery into clinical practice; (ii) disseminating monitoring and evaluation tools to document scale-up; (iii) implementing a programmatic pilot of tuberculosis preventive treatment; and (iv) identifying a mechanism for procurement and delivery of isoniazid to facilities dispensing tuberculosis preventive treatment. Staff aggregated routine programme data from facility registers on the numbers of people living with HIV who started on tuberculosis preventive treatment across all clinical sites providing this treatment during July 2019-March 2020.

findingsTuberculosis preventive treatment was implemented in 13 HIV treatment sites during July-October 2019, then in 26 sites during November 2019-March 2020. During July 2019-March 2020, 6503 people living with HIV started tuberculosis preventive treatment.

conclusionLessons for other low-resource settings may include supplementing national guidelines with health ministry directives, clinician guidance and training, and an implementation pilot. A cadre of field supervisors can rapidly disseminate a standardized approach to implementation and monitoring of tuberculosis preventive treatment, and this approach can be used to strengthen other tuberculosis-HIV services. Procuring a reliable and steady supply of tuberculosis preventive treatment medication is crucial.

Indexed as

Anti-Retroviral AgentsFemaleHIV InfectionsHumansIncidenceMalePilot ProjectsPrevalenceSouth SudanTuberculosisAnti-Retroviral Agents

Identifiers

PMID33716332
PMCPMC7947931
OpenAlexW3120375399

What OpenQuestion holds

Textmetadata
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.