Evidence map›Paper›PMID 30367622›Full record

ArticleBMC infectious diseases2018

Integrating HIV care and treatment into tuberculosis clinics in Lusaka, Zambia: results from a before-after quasi-experimental study.

Michael E Herce, Jill Morse, Dora Luhanga, Jennifer Harris, Helene J Smith, Stable Besa, Graham Samungole, Nzali Kancheya, Monde Muyoyeta, Stewart E Reid

Abstract read
In one paragraph

Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

23 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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.

Michael E HerceCentre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia. michael.herce@cidrz.org.ORCID http://orcid.org/0000-0002-3629-3867
Jill MorseCentre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Dora LuhangaCentre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Jennifer HarrisCentre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Helene J SmithCentre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Stable BesaCentre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Graham SamungoleLusaka District Health Office, Ministry of Health, Government of the Republic of Zambia, Lusaka, Zambia.
Nzali KancheyaCentre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Monde MuyoyetaCentre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Stewart E ReidCentre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.

Funding

PS08-830 : EXPANSION OF ART, TB AND VCT PROGRAMS IN ZAMBIAU2GPS001421 · PS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI REID, STEWART E. · 2009 to 2014
$10.6M
Centers for Disease Control and Prevention U2GPS001421NCHHSTP CDC HHS U2G PS001421
6 · The paper itself

Abstract

backgroundPatients with HIV-associated tuberculosis (TB) often have their TB and HIV managed in separate vertical programs that offer care for each disease with little coordination. Such "siloed" approaches are associated with diagnostic and treatment delays, which contribute to unnecessary morbidity and mortality. To improve TB/HIV care coordination and early ART initiation, we integrated HIV care and treatment into two busy TB clinics in Zambia. We report here the effects of our intervention on outcomes of linkage to HIV care, early ART uptake, and TB treatment success for patients with HIV-associated TB in Lusaka, Zambia.

methodsWe provided integrated HIV treatment and care using a "one-stop shop" model intervention. All new or relapse HIV-positive TB patients were offered immediate HIV program enrolment and ART within 8 weeks of anti-TB therapy (ATT) initiation. We used a quasi-experimental design, review of routine program data, and survival analysis and logistic regression methods to estimate study outcomes before (June 1, 2010-January 31, 2011) and after (August 1, 2011-March 31, 2012) our intervention among 473 patients with HIV-associated TB categorized into pre- (n = 248) and post-intervention (n = 225) cohorts.

resultsPatients in the pre- and post-intervention cohorts were mostly male (60.1% and 52.9%, respectively) and young (median age: 33 years). In time-to-event analyses, a significantly higher proportion of patients in the post-intervention cohort linked to HIV care by 4 weeks post-ATT initiation (53.9% vs. 43.4%, p = 0.03), with median time to care linkage being 59 and 25 days in the pre- and post-intervention cohorts, respectively. In Cox proportional hazard modelling, patients receiving the integration intervention started ART by 8 weeks post-ATT at 1.33 times the rate (HR = 1.33, 95% CI: 1.00-1.77) as patients pre-intervention. In logistic regression modelling, patients receiving the intervention were 2.02 times (95% CI: 1.11-3.67) as likely to have a successful TB treatment outcome as patients not receiving the intervention.

conclusionsIntegrating HIV treatment and care services into routine TB clinics using a one-stop shop model increased linkage to HIV care, rates of early ART initiation, and TB treatment success among patients with HIV-associated TB in Lusaka, Zambia.

Indexed as

Ambulatory Care FacilitiesDelivery of Health Care, IntegratedOutcome Assessment, Health CareAdultAnti-HIV AgentsAntitubercular AgentsCohort StudiesCoinfectionFemaleHIV InfectionsHumansLogistic ModelsMaleProportional Hazards ModelsSurvival AnalysisTreatment OutcomeAnti-HIV AgentsAntitubercular AgentsAntiretroviral therapyHIV/AIDSLinkage to careSub-Saharan AfricaTB-HIV integrationTuberculosisZambia

Identifiers

PMID30367622
PMCPMC6204013

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Registered trials

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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.