Evidence map›Paper›PMID 31879703›Full record

ArticleJournal of clinical tuberculosis and other mycobacterial diseases2020

Implementation science to improve the quality of tuberculosis diagnostic services in Uganda.

Adithya Cattamanchi, Christopher A Berger, Priya B Shete, Stavia Turyahabwe, Moses Joloba, David Aj Moore, Lucian J Davis, Achilles Katamba

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical tuberculosis and other mycobacterial diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 4 pooled it
2.0field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 4 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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  18. Improving the quality of tuberculosis care in the post-pandemic world.Journal of clinical tuberculosis and other mycobacterial diseases · 2021
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  19. Improving quality is necessary to building a TB-free world: Lancet Commission on Tuberculosis.Journal of clinical tuberculosis and other mycobacterial diseases · 2020
    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

8 authors at 5 institutions in 3 countries.

Adithya CattamanchiDivision of Pulmonary and Critical Care Medicine and Center for Tuberculosis, University of California San Francisco, San Francisco, United States.
Christopher A BergerDivision of Pulmonary and Critical Care Medicine and Center for Tuberculosis, University of California San Francisco, San Francisco, United States.
Priya B SheteDivision of Pulmonary and Critical Care Medicine and Center for Tuberculosis, University of California San Francisco, San Francisco, United States.
Stavia TuryahabweUganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
Moses JolobaSchool of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda.
David Aj MooreUganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
Lucian J DavisUganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
Achilles KatambaUganda Tuberculosis Implementation Research Consortium, Kampala, Uganda.
University of California, San Francisco · USLondon School of Hygiene & Tropical Medicine · GBMakerere University · UGNational Agricultural Research Institute · UGYale University · US

Funding

SIngle-saMPLE tuberculosis evaluation to facilitate linkage to care: The SIMPLE TB trialR01HL130192 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CATTAMANCHI, ADITHYA · 2016 to 2020
$3.2M
TB Guidline Observation and Adherence in Low Income Countries (TB GOAL)R21AI096158 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CATTAMANCHI, ADITHYA · 2011 to 2012
$378k
NHLBI NIH HHS R01 HL130192NIAID NIH HHS R21 AI096158Wellcome Trust
6 · The paper itself

Abstract

Nucleic acid amplification tests such as Xpert MTB/RIF (Xpert) have the potential to revolutionize tuberculosis (TB) diagnostics and improve case finding in resource-poor settings. However, since its introduction over a decade ago in Uganda, there remain significant gaps along the cascade of care for patients undergoing TB diagnostic evaluation at peripheral health centers. We utilized a systematic, implementation science-based approach to identify key reasons at multiple levels for attrition along the TB diagnostic evaluation cascade of care. Provider- and health system-level barriers fit into four key thematic areas: human resources, material resources, service implementation, and service coordination. Patient-level barriers included the considerable costs and time required to complete health center visits. We developed a theory-informed strategy using the PRECEDE framework to target key barriers by streamlining TB diagnostic evaluation and facilitating continuous quality improvement. The resulting SIMPLE TB strategy involve four key components: 1) Single-sample LED fluorescence microscopy; 2) Daily sputum transport to Xpert testing sites; 3) Text message communication of Xpert results to health centers and patients; and 4) Performance feedback to health centers using a quality improvement framework. This combination of interventions was feasible to implement and significantly improved the provision of high-quality care for patients undergoing TB diagnostic evaluation. We conclude that achieving high coverage of Xpert testing services is not enough. Xpert scale-up should be accompanied by health system co-interventions to facilitate effective implementation and ensure that high quality care is delivered to patients.

Indexed as

Implementation scienceQuality improvementTuberculosisUganda

Identifiers

PMID31879703
PMCPMC6920311
OpenAlexW2993046886

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.