Evidence map›Paper›PMID 34332534›Full record

ArticleBMC infectious diseases2021

Characterisation of tuberculosis mortality in informal settlements in Nairobi, Kenya: analysis of data between 2002 and 2016.

Judy Gichuki, Donnie Mategula

Abstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Judy Gichuki *Nairobi City County Government, Health Services Department, P.O. Box 34349, Nairobi, 00100, Kenya. jgichukibds@gmail.com.ORCID https://orcid.org/0000-0003-2519-6225
Donnie Mategula *Malawi-Liverpool-Wellcome Trust Clinical Research Programme, P.O Box 30096, Blantyre, Malawi.ORCID https://orcid.org/0000-0001-7109-9042

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) remains one of the key public health problems in Africa. Due to multifaceted challenges, its burden is poorly described in informal settlements. We describe tuberculosis mortality in two informal settlements in Nairobi, Kenya.

methodsThis is a secondary analysis of 2002-2016 verbal autopsy data from informal settlements in the Nairobi Urban Health Demographic Surveillance System (NUHDSS). A descriptive analysis of deaths assigned as caused by TB was done. Pearson chi-square tests were used to determine differences between socio-demographic factors. Logistic regression was carried out to examine the risk of death from TB within the characteristics.

resultsThere were 6218 deaths in the NUHDSS within the period of analysis, of which 930 (14.96%) were deaths from TB. The average number of TB deaths per year was 62(SD 23.9). There was a reduction in TB deaths from 21.2% in 2005 to 1.7% in 2016. Males had 1.39 higher odds of dying from TB than females (AOR 1.39; 95% CI 1.18-1.64; p-value < 0.001). Compared to those aged 30-39 years, the ≥50-year-olds had a 42% lower chance of dying from TB (AOR 0.57; 95% CI 0.47-0.73; p-value < 0.001). Those dying at home had 1.39 odds of dying from TB as compared to those who died in a health facility(AOR 1.93; 95% CI 1.17-1.64; p value< 0.001).

conclusionThere was a reduction in TB deaths over the study period. Males had the highest risk of death. There is a need to strengthen TB surveillance and access to TB diagnosis and treatment within informal settlements to enhance early diagnosis and treatment.

Indexed as

TuberculosisAutopsyFemaleHumansKenyaMaleInformal settlementsNairobiTuberculosisVerbal autopsy

Identifiers

PMID34332534
PMCPMC8325236

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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.