Evidence map›Paper›PMID 33373997›Full record

ArticlePloS one2020

Addressing the drug-resistant tuberculosis challenge through implementing a mixed model of care in Uganda.

Samuel Kasozi, Nicholas Sebuliba Kirirabwa, Derrick Kimuli, Henry Luwaga, Enock Kizito, Stavia Turyahabwe, Deus Lukoye, Raymond Byaruhanga, Lisa Chen, Pedro Suarez

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. 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
0.3field-weighted citation impact, top 28% 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, 21 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Samuel KasoziTRACK TB Project, Management Sciences for Health, Kampala, Uganda.
Nicholas Sebuliba KirirabwaTRACK TB Project, Management Sciences for Health, Kampala, Uganda.
Derrick KimuliTRACK TB Project, Management Sciences for Health, Kampala, Uganda.ORCID 0000-0002-5302-7077
Henry LuwagaTRACK TB Project, Management Sciences for Health, Kampala, Uganda.
Enock KizitoTRACK TB Project, Management Sciences for Health, Kampala, Uganda.
Stavia TuryahabweNational Tuberculosis and Leprosy Program, Ministry of Health, Kampala, Uganda.
Deus LukoyeTRACK TB Project, Management Sciences for Health, Kampala, Uganda.
Raymond ByaruhangaTRACK TB Project, Management Sciences for Health, Kampala, Uganda.
Lisa ChenCurry International Tuberculosis Center (UCSF/CITC), University of California, San Francisco, San Francisco, California, United States of America.
Pedro SuarezManagement Sciences for Health, Arlington, Virginia, United States of America.
World Health Organization - Uganda · UGManagement Sciences for Health · USMinistry of Health · UGUniversity of California, San Francisco · US

Funding

PEPFAR 623-A-13-00003
6 · The paper itself

Abstract

Worldwide, Drug-resistant Tuberculosis (DR-TB) remains a big problem; the diagnostic capacity has superseded the clinical management capacity thereby causing ethical challenges. In Sub-Saharan Africa, treatment is either inadequate or lacking and some diagnosed patients are on treatment waiting lists. In Uganda, various health system challenges impeded scale-up of DR-TB care in 2012; only three treatment initiation facilities existed, with only 41 of the estimated 1010 RR-TB/MDR-TB cases enrolled on treatment yet 300 were on the waiting list and there was no DR-TB treatment scale-up plan. To scale up care, the National TB and leprosy Program (NTLP) with partners rolled out a DR-TB mixed model of care. In this paper, we share achievements and outcomes resulting from the implementation of this mixed Model of DR-TB care. Routine NTLP DR-TB program data on treatment initiation site, number of patients enrolled, their demographic characteristics, patient category, disease classification (based on disease site and human immunodeficiency virus (HIV) status), on co-trimoxazole preventive therapy (CPT) and antiretroviral therapy (ART) statuses, culture results, smear results and treatment outcomes (6, 12, and 24 months) from 2012 to 2017 RR-TB/MDR-TB cohorts were collected from all the 15 DR-TB treatment initiation sites and descriptive analysis was done using STATA version 14.2. We presented outcomes as the number of patient backlog cleared, DR-TB initiation sites, RR-TB/DR-TB cumulative patients enrolled, percentage of co-infected patients on the six, twelve interim and 24 months treatment outcomes as per the Uganda NTLP 2016 Programmatic Management of drug-resistant Tuberculosis (PMDT) guidelines (NTLP, 2016). Over the period 2013-2015, the RR-TB/MDR-TB Treatment success rate (TSR) was sustained between 70.1% and 74.1%, a performance that is well above the global TSR average rate of 50%. Additionally, the cure rate increased from 48.8% to 66.8% (P = 0.03). The Uganda DR-TB mixed model of care coupled with early application of continuous improvement approaches, enhanced cohort reviews and use of multi-disciplinary teams allowed for rapid DR-TB program expansion, rapid clearance of patient backlog, attainment of high cumulative enrollment and high treatment success rates. Sustainability of these achievements is needed to further reduce the DR-TB burden in the country. We highly recommend this mixed model of care in settings with similar challenges.

Indexed as

Health Plan ImplementationAdolescentAdultAftercareAnti-Retroviral AgentsAntitubercular AgentsChemopreventionCohort StudiesCoinfectionDelivery of Health CareDrug Resistance, Multiple, BacterialFemaleHIV InfectionsHumansLeprosyMaleAnti-Retroviral AgentsAntitubercular AgentsTrimethoprim, Sulfamethoxazole Drug Combination

Identifiers

PMID33373997
PMCPMC7772013
OpenAlexW3116585449

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.