Evidence map›Paper›PMID 36466210›Full record

ArticleBulletin of the World Health Organization2022

Tuberculosis care models for children and adolescents: a scoping review.

Courtney M Yuen, Daria Szkwarko, Melanie M Dubois, Shumail Shahbaz, Katharine A Yuengling, Michael E Urbanowski, Paul A Bain, Annemieke Brands, Tiziana Masini, Sabine Verkuijl and 3 more

Open access · diamondAbstract readScoping Review
In one paragraph

Article in Bulletin of the World Health Organization, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.5field-weighted citation impact, top 5% 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, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Clinical standards for drug-susceptible TB in children and adolescents.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023
    Article
  13. 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 6 institutions in 3 countries.

Courtney M YuenDivision of Global Health Equity, Brigham and Women's Hospital, 75 Francis Street, Boston, MA02115, United States of America (USA).
Daria SzkwarkoWarren Alpert Medical School, Brown University, Providence, USA.
Melanie M DuboisDivision of Infectious Diseases, Boston Children's Hospital, Boston, USA.
Shumail ShahbazIndus Hospital and Health Network, Karachi, Pakistan.
Katharine A YuenglingICAP at Columbia University, New York, USA.
Michael E UrbanowskiT.H. Chan School of Medicine, University of Massachusetts Chan Medical School, Worcester, USA.
Paul A BainCountway Library, Harvard Medical School, Boston, USA.
Annemieke BrandsGlobal Tuberculosis Programme, World Health Organization, Geneva, Switzerland.
Tiziana MasiniGlobal Tuberculosis Programme, World Health Organization, Geneva, Switzerland.
Sabine VerkuijlGlobal Tuberculosis Programme, World Health Organization, Geneva, Switzerland.
Kerri VineyGlobal Tuberculosis Programme, World Health Organization, Geneva, Switzerland.
Yael Hirsch-MovermanICAP at Columbia University, New York, USA.
Hamidah HussainInteractive Research and Development Global, Singapore, Singapore.
World Health Organization · CHColumbia University · USBoston University · USBrown University · USHarvard University · USIndus Hospital · PK

Funding

PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
NIAID NIH HHS T32 AI007433World Health Organization 001
6 · The paper itself

Abstract

Objective: To map which tuberculosis care models are best suited for children and adolescents. Methods: We conducted a scoping review to assess the impact of decentralized, integrated and family-centred care on child and adolescent tuberculosis-related outcomes, describe approaches for these care models and identify key knowledge gaps. We searched seven literature databases on 5 February 2021 (updated 16 February 2022), searched the references of 18 published reviews and requested data from ongoing studies. We included studies from countries with a high tuberculosis burden that used a care model of interest and reported tuberculosis diagnostic, treatment or prevention outcomes for an age group < 20 years old. Findings: We identified 28 studies with a comparator group for the impact assessment and added 19 non-comparative studies to a qualitative analysis of care delivery approaches. Approaches included strengthening capacity in primary-level facilities, providing services in communities, screening for tuberculosis in other health services, co-locating tuberculosis and human immunodeficiency virus treatment, offering a choice of treatment location and providing social or economic support. Strengthening both decentralized diagnostic services and community linkages led to one-to-sevenfold increases in case detection across nine studies and improved prevention outcomes. We identified only five comparative studies on integrated or family-centred care, but 11 non-comparative studies reported successful treatment outcomes for at least 71% of children and adolescents. Conclusion: Strengthening decentralized services in facilities and communities can improve tuberculosis outcomes for children and adolescents. Further research is needed to identify optimal integrated and family-centred care approaches.

Indexed as

TuberculosisAdolescentAdultChildDatabases, FactualFamilyHumansYoung Adult

Identifiers

PMID36466210
PMCPMC9706349
OpenAlexW4310777134

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.