Evidence map›Paper›PMID 28784131›Full record

ArticleBMC health services research2017

Pediatric HIV care and treatment services in Tanzania: implications for survival.

G Somi, M Majigo, J Manyahi, J Nondi, J Agricola, V Sambu, J Todd, A Rwebembera, N Makyao, A Ramadhani and 1 more

Abstract read
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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

12 citing papers in PubMed, 1 synthesis or guideline 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

11 authors.

G SomiNational AIDS Control Programme, Ministry of Health, Community Development, Gender, Elderly and Children, Mwanza, Tanzania.
M MajigoDepartment of Microbiology and Immunology, School of Medicine, Muhimbili University of Health and Allied Sciences, Mwanza, Tanzania.
J ManyahiDepartment of Microbiology and Immunology, School of Medicine, Muhimbili University of Health and Allied Sciences, Mwanza, Tanzania.
J NondiNational AIDS Control Programme, Ministry of Health, Community Development, Gender, Elderly and Children, Mwanza, Tanzania.
J AgricolaDepartment of Microbiology and Immunology, School of Medicine, Muhimbili University of Health and Allied Sciences, Mwanza, Tanzania.
V SambuNational AIDS Control Programme, Ministry of Health, Community Development, Gender, Elderly and Children, Mwanza, Tanzania.
J ToddLondon School of Hygiene and Tropical Medicine and National Institute for Medical Research (NIMR), Mwanza, Tanzania.
A RwebemberaNational AIDS Control Programme, Ministry of Health, Community Development, Gender, Elderly and Children, Mwanza, Tanzania.
N MakyaoNational AIDS Control Programme, Ministry of Health, Community Development, Gender, Elderly and Children, Mwanza, Tanzania.
A RamadhaniNational AIDS Control Programme, Ministry of Health, Community Development, Gender, Elderly and Children, Mwanza, Tanzania.
Min MateeDepartment of Microbiology and Immunology, School of Medicine, Muhimbili University of Health and Allied Sciences, Mwanza, Tanzania. mateemecky@yahoo.com.

Funding

Medical Research Council MR/P014313/1
6 · The paper itself

Abstract

backgroundImproving child survival for HIV-infected children remains an important health agenda. We present progress regarding care and treatment services to HIV infected children in Tanzania.

methodsThe National AIDS Control Programme Care and Treatment (CTC 2) database was used to obtain information of all children aged 0-14yearsenrolled in the HIV Care and Treatment Program between January 2011 and December 2014. We assessed eligibility for ART, time from enrolment to ART initiation, nutritional status, and mortality using Kaplan-Meier methods.

resultsA total of 29,531 (14,304 boys and 15,227 girls) ART-naive children aged 0-14 years were enrolled during the period, approximately 6700 to 8000 children per year. The male to female ratio was 48:50. At enrolment 72% were eligible for ART, 2-3% of children were positive for TB, and 2-4% were severely malnourished. Between 2011 and 2014, 2368 (8%) died, 9243 (31%) were Lost to Follow-up and 17,920 (61%) were on care or ART. The probability of death was 31% (95% CI 26-35), 43% (40-47), 52% (49-55) and 61% (58-64) by 1,2, 5 and 10 years of age, respectively. The hazard of death was greatest at very young ages (<2 years old), and decreased sharply by 4 years old. Children who were on ART had around 10-15% higher survival over time.

conclusionsSignificant progress has been made regarding provision of paediatric HIV care and treatment in Tanzania. On average 7000 children are enrolled annually, and that approximately two thirds of children diagnosed under the age of 2 years were initiated on ART within a month. Provision of ART as soon as the child is diagnosed is the biggest factor in improving survival. However we noted that i) most children had advanced disease at the time of enrolment ii) approximately two-thirds of children were missing a baseline CD4 measurement and only 35% of children had either a CD4 count or percentage recorded, indicating limited access to CD4 testing services, and iii) 31% were lost to follow-up (LTFU). These challenges need to be addressed to improve early detection, enrolment and retention of HIV-infected children into care and improve documentation of services offered.

Indexed as

Health ServicesSurvival AnalysisAdolescentAnti-HIV AgentsCD4 Lymphocyte CountChildChild, PreschoolDatabases, FactualFemaleHIV InfectionsHumansInfantKaplan-Meier EstimateLost to Follow-UpMaleTanzaniaAnti-HIV AgentsARTCareChildrenEnrolmentHIVMortalitySurvival

Identifiers

PMID28784131
PMCPMC5547461

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LicenceCC BY
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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.