Evidence map›Paper›PMID 35198922›Full record

ArticleEClinicalMedicine2022

Mortality in HIV and tuberculosis patients following implementation of integrated HIV-TB treatment: Results from an open-label cluster-randomized trial.

Kogieleum Naidoo, Santhanalakshmi Gengiah, Nonhlanhla Yende-Zuma, Regina Mlobeli, Jacqueline Ngozo, Nhlakanipho Memela, Nesri Padayatchi, Pierre Barker, Andrew Nunn, Salim S Abdool Karim

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 5 pooled it
1.9field-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

13 citing papers in PubMed, 5 syntheses or guidelines pooled it, 19 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 3 countries.

Kogieleum NaidooCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal Nelson R Mandela School of Medicine, Private Bag X7 Congella, Durban 4013, South Africa.
Santhanalakshmi GengiahCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal Nelson R Mandela School of Medicine, Private Bag X7 Congella, Durban 4013, South Africa.
Nonhlanhla Yende-ZumaCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal Nelson R Mandela School of Medicine, Private Bag X7 Congella, Durban 4013, South Africa.
Regina MlobeliCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal Nelson R Mandela School of Medicine, Private Bag X7 Congella, Durban 4013, South Africa.
Jacqueline NgozoKwaZulu- Natal Provincial Department of Health, South Africa.
Nhlakanipho MemelaCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal Nelson R Mandela School of Medicine, Private Bag X7 Congella, Durban 4013, South Africa.
Nesri PadayatchiCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal Nelson R Mandela School of Medicine, Private Bag X7 Congella, Durban 4013, South Africa.
Pierre BarkerInstitute for Healthcare Improvement, Gilling's School of Global Public Health, UNC Chapel Hill, Chapel Hill, Cambridge, MA, USA.
Andrew NunnMedical Research Council Clinical Trials Unit at University College, London, UK.
Salim S Abdool KarimCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal Nelson R Mandela School of Medicine, Private Bag X7 Congella, Durban 4013, South Africa.
South African Medical Research Council · ZACentre for the AIDS Programme of Research in South Africa · ZAUniversity College London · GBUniversity of North Carolina at Chapel Hill · US

Funding

Medical Research Council MC_PC_16022Medical Research Council MC_UU_00004/04
6 · The paper itself

Abstract

backgroundHIV-TB treatment integration reduces mortality. Operational implementation of integrated services is challenging. This study assessed the impact of quality improvement (QI) for HIV-TB integration on mortality within primary healthcare (PHC) clinics in South Africa.

methodsAn open-label cluster randomized controlled study was conducted between 2016 and 2018 in 40 rural clinics in South Africa. The study statistician randomized PHC nurse-supervisors 1:1 into 16 clusters (eight nurse-supervisors supporting 20 clinics per arm) to receive QI, supported HIV-TB integration intervention or standard of care (control). Nurse supervisors and clinics under their supervision, based in the study health districts were eligible for inclusion in this study. Nurse supervisors were excluded if their clinics were managed by municipal health (different resource allocation), did not offer co-located antiretroviral therapy (ART) and TB services, services were performed by a single nurse, did not receive non-governmental organisation (NGO) support, patient data was not available for > 50% of attendees. The analysis population consists of all patients newly diagnosed with (i) both TB and HIV (ii) HIV only (among patients previously treated for TB or those who never had TB before) and (iii) TB only (among patients already diagnosed with HIV or those who were never diagnosed with HIV) after QI implementation in the intervention arm, or enrolment in the control arm. Mortality rates was assessed 12 months post enrolment, using unpaired

findingsOverall, 21 379 participants were enrolled between December 2016 and December 2018 in intervention and control arm clinics: 1329 and 841 HIV-TB co-infected (10·2%); 10 799 and 6 611 people living with Human Immunodeficiency Virus (HIV)/ acquired immunodeficiency syndrome (AIDS) (PLWHA) only (81·4%); 1 131 and 668 patients with TB only (8·4%), respectively. Average cluster sizes were 1657 (range 170-5782) and 1015 (range 33-2027) in intervention and control arms. By 12 months, 6529 (68·7%) and 4074 (70·4%) were alive and in care, 568 (6·0%) and 321 (5·6%) had completed TB treatment, 1078 (11·3%) and 694 (12·0%) were lost to follow-up, with 245 and 156 deaths occurring in intervention and control arms, respectively. Mortality rates overall [95% confidence interval (CI)] was 4·5 (3·4-5·9) in intervention arm, and 3·8 (2·6-5·4) per 100 person-years in control arm clusters [mortality rate ratio (MRR): 1·19 (95% CI 0·79-1·80)]. Mortality rates among HIV-TB co-infected patients was 10·1 (6·7-15·3) and 9·8 (5·0-18·9) per 100 person-years, [MRR: 1·04 (95% CI 0·51-2·10)], in intervention and control arm clusters, respectively.

interpretationHIV-TB integration supported by a QI intervention did not reduce mortality in HIV-TB co-infected patients. Demonstrating mortality benefit from health systems process improvements in real-world operational settings remains challenging. Despite the study being potentially underpowered to demonstrate the effect size, integration interventions were implemented using existing facility staff and infrastructure reflecting the real-world context where most patients in similar settings access care, thereby improving generalizability and scalability of study findings.

fundingResearch reported in this publication was supported by South African Medical Research Council (SAMRC), and UK Government's Newton Fund through United Kingdom Medical Research Council (UKMRC).

Indexed as

Cluster randomized trialHIVMortalityPrimary healthcareQuality improvementTB/HIV integration

Identifiers

PMID35198922
PMCPMC8850328
OpenAlexW4211009657

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.