Evidence map›Paper›PMID 31334760›Full record

ArticleTransactions of the Royal Society of Tropical Medicine and Hygiene2019

Tuberculosis control activities in the private and public health sectors of Kenya from 2013 to 2017: how do they compare?

Eunice W Mailu, Philip Owiti, Serge Ade, Anthony D Harries, Marcel Manzi, Eunice Omesa, Polly Kiende, Stephen Macharia, Irene Mbithi, Maureen Kamene

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Transactions of the Royal Society of Tropical Medicine and Hygiene, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. 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 at 4 institutions in 6 countries.

Eunice W MailuNational Tuberculosis, Leprosy and Lung Disease Program, Ministry of Health, Nairobi, Kenya.
Philip OwitiNational Tuberculosis, Leprosy and Lung Disease Program, Ministry of Health, Nairobi, Kenya.
Serge AdeInternational Union Against Tuberculosis and Lung Diseases, Paris, France.
Anthony D HarriesInternational Union Against Tuberculosis and Lung Diseases, Paris, France.
Marcel ManziMedécins Sans Frontières, Luxembourg Operational Research Department, Brussels, Belgium.
Eunice OmesaNational Tuberculosis, Leprosy and Lung Disease Program, Ministry of Health, Nairobi, Kenya.
Polly KiendeNational Tuberculosis, Leprosy and Lung Disease Program, Ministry of Health, Nairobi, Kenya.
Stephen MachariaNational Tuberculosis, Leprosy and Lung Disease Program, Ministry of Health, Nairobi, Kenya.
Irene MbithiKenya Association for the Prevention of Tuberculosis and Lung Diseases, Nairobi, Kenya.
Maureen KameneNational Tuberculosis, Leprosy and Lung Disease Program, Ministry of Health, Nairobi, Kenya.
Ministry of Health · KELondon School of Hygiene & Tropical Medicine · GBMédecins Sans Frontières · BEUniversité de Parakou · BJ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLarge numbers of tuberculosis (TB) patients seek care from private for-profit providers. This study aimed to assess and compare TB control activities in the private for-profit and public sectors in Kenya between 2013 and 2017.

methodsWe conducted a retrospective cross-sectional study using routinely collected data from the National Tuberculosis, Leprosy and Lung Disease Program.

resultsOf 421 409 patients registered and treated between 2013 and 2017, 86 894 (21%) were from the private sector. Data collection was less complete in the private sector for nutritional assessment and follow-up sputum smear examinations (p<0.001). The private sector notified less bacteriologically confirmed TB (43.1% vs 52.6%; p<0.001) and had less malnutrition (body mass index <18.5 kg/m2; 36.4% vs 43.3%; p<0.001) than the public sector. Rates of human immunodeficiency virus (HIV) testing and antiretroviral therapy initiation were >95% and >90%, respectively, in both sectors, but more patients were HIV positive in the private sector (39.6% vs 31.6%; p<0.001). For bacteriologically confirmed pulmonary TB, cure rates were lower in the private sector, especially for HIV-negative patients (p<0.001). The private sector had an overall treatment success of 86.3% as compared with the public sector at 85.7% (p<0.001).

conclusionsThe private sector is performing well in Kenya although there are programmatic challenges that need to be addressed.

Indexed as

Private SectorPublic SectorAdolescentAdultAgedCross-Sectional StudiesDelivery of Health CareFemaleHIV InfectionsHumansKenyaMaleMiddle AgedRetrospective StudiesTuberculosis, PulmonaryYoung AdultKenyaoperational researchprivate–public mixSORT-ITtuberculosis

Identifiers

PMID31334760
PMCPMC6907001
OpenAlexW2962885365

What OpenQuestion holds

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LicenceCC BY-NC
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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.