Evidence map›Paper›PMID 30196265›Full record

SynthesisBMJ open2018

Effectiveness of service models and organisational structures supporting tuberculosis identification and management in hard-to-reach populations in countries of low and medium tuberculosis incidence: a systematic review.

Charlotte C Heuvelings, Patrick F Greve, Sophia G de Vries, Benjamin Visser, Sabine Bélard, Saskia Janssen, Anne L Cremers, René Spijker, Elizabeth Shaw, Ruaraidh A Hill and 4 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
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  6. Mobility patterns, activity locations, and TB in Nairobi, Kenya.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2025
    Article
  7. Article
  8. Outcomes of TB contact tracing and predictors of success: a 10-year retrospective cohort analysis in Birmingham, UK.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023
    Article
  9. 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

14 authors at 5 institutions in 3 countries.

Charlotte C HeuvelingsDepartment of Infectious Diseases, Division of Internal Medicine, Academic Medical Center, Center of Tropical Medicine and Travel Medicine, University of Amsterdam, Amsterdam, The Netherlands.
Patrick F GreveDepartment of Infectious Diseases, Division of Internal Medicine, Academic Medical Center, Center of Tropical Medicine and Travel Medicine, University of Amsterdam, Amsterdam, The Netherlands.
Sophia G de VriesDepartment of Infectious Diseases, Division of Internal Medicine, Academic Medical Center, Center of Tropical Medicine and Travel Medicine, University of Amsterdam, Amsterdam, The Netherlands.
Benjamin VisserDepartment of Infectious Diseases, Division of Internal Medicine, Academic Medical Center, Center of Tropical Medicine and Travel Medicine, University of Amsterdam, Amsterdam, The Netherlands.
Sabine BélardDepartment of Infectious Diseases, Division of Internal Medicine, Academic Medical Center, Center of Tropical Medicine and Travel Medicine, University of Amsterdam, Amsterdam, The Netherlands.
Saskia JanssenDepartment of Infectious Diseases, Division of Internal Medicine, Academic Medical Center, Center of Tropical Medicine and Travel Medicine, University of Amsterdam, Amsterdam, The Netherlands.
Anne L CremersDepartment of Infectious Diseases, Division of Internal Medicine, Academic Medical Center, Center of Tropical Medicine and Travel Medicine, University of Amsterdam, Amsterdam, The Netherlands.
René SpijkerMedical Library, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Elizabeth ShawNational Institute for Health and Care Excellence, Manchester, UK.
Ruaraidh A HillLiverpool Reviews and Implementation Group, Health Services Research, University of Liverpool, Liverpool, UK.
Alimuddin ZumlaDivision of Infection and Immunity, University College London, and NIHR Biomedical Research Centre at UCL Hospitals, London, UK.
Andreas SandgrenEuropean Centre for Disease Prevention and Control, Stockholm, Sweden.
Marieke J van der WerfEuropean Centre for Disease Prevention and Control, Stockholm, Sweden.ORCID 0000-0001-8021-1358
Martin Peter GrobuschDepartment of Infectious Diseases, Division of Internal Medicine, Academic Medical Center, Center of Tropical Medicine and Travel Medicine, University of Amsterdam, Amsterdam, The Netherlands.
Amsterdam UMC Location University of Amsterdam · NLEuropean Centre for Disease Prevention and Control · SENational Institute for Health and Care Excellence · GBUCL Biomedical Research Centre · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine which service models and organisational structures are effective and cost-effective for delivering tuberculosis (TB) services to hard-to-reach populations.

designEmbase and MEDLINE (1990-2017) were searched in order to update and extend the 2011 systematic review commissioned by National Institute for Health and Care Excellence (NICE), discussing interventions targeting service models and organisational structures for the identification and management of TB in hard-to-reach populations. The NICE and Cochrane Collaboration standards were followed.

settingEuropean Union, European Economic Area, European Union candidate countries and Organisation for Economic Co-operation and Development countries.

participantsHard-to-reach populations, including migrants, homeless people, drug users, prisoners, sex workers, people living with HIV and children within vulnerable and hard-to-reach populations. PRIMARY AND SECONDARY OUTCOME MEASURES: Effectiveness and cost-effectiveness of the interventions.

resultsFrom the 19 720 citations found, five new studies were identified, in addition to the six discussed in the NICE review. Community health workers from the same migrant community, street teams and peers improved TB screening uptake by providing health education, promoting TB screening and organising contact tracing. Mobile TB clinics, specialised TB clinics and improved cooperation between healthcare services can be effective at identifying and treating active TB cases and are likely to be cost-effective. No difference in treatment outcome was detected when directly observed therapy was delivered at a health clinic or at a convenient location in the community.

conclusionsAlthough evidence is limited due to the lack of high-quality studies, interventions using peers and community health workers, mobile TB services, specialised TB clinics and improved cooperation between health services can be effective to control TB in hard-to-reach populations. Future studies should evaluate the (cost-)effectiveness of interventions on TB identification and management in hard-to-reach populations and countries should be urged to publish the outcomes of their TB control systems. PROSPERO REGISTRATION NUMBER: CRD42015017865.

Indexed as

Models, OrganizationalCommunity Health WorkersDelivery of Health CareDrug UsersEuropeHealth EducationHIV InfectionsHumansIll-Housed PersonsIncidenceIsraelMobile Health UnitsPeer GroupPrisonersSex WorkersTransients and Migrantspublic healthtuberculosis

Identifiers

PMID30196265
PMCPMC6129047
OpenAlexW2888942072

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.