Evidence map›Paper›PMID 35703607›Full record

ArticleRevista de saude publica2022

Performance evaluation of tuberculosis control in Brazilian municipalities.

Priscila Fernanda Porto Scaff Pinto, Beatriz Pinheiro Schindler Dos Santos, Camila Silveira Silva Teixeira, Joilda Silva Nery, Leila Denise Alves Ferreira Amorim, Mauro Niskier Sanchez, Mauricio Lima Barreto, Julia Moreira Pescarini

Open access · goldAbstract read
In one paragraph

Article in Revista de saude publica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 10% 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, 13 citations in OpenAlex.

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  9. The Medication Experience of TB/HIV Coinfected Patients: Qualitative Study.International journal of environmental research and public health · 2022
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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

8 authors at 4 institutions in 2 countries.

Priscila Fernanda Porto Scaff PintoFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0003-4314-5894
Beatriz Pinheiro Schindler Dos SantosFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-7598-4302
Camila Silveira Silva TeixeiraFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0001-6340-7957
Joilda Silva NeryFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-1576-6418
Leila Denise Alves Ferreira AmorimFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-1112-2332
Mauro Niskier SanchezFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-0472-1804
Mauricio Lima BarretoFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0002-0215-4930
Julia Moreira PescariniFundação Oswaldo Cruz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0001-8711-9589
Fundação Oswaldo Cruz · BRLondon School of Hygiene & Tropical Medicine · GBUniversidade de Brasília · BRUniversidade Federal da Bahia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the performance of tuberculosis control in Brazilian municipalities.

methodsThis is an ecological study on Brazilian municipalities that notified at least four new cases of tuberculosis, with a minimum of one new case of pulmonary tuberculosis between 2015 and 2018. The municipalities were stratified according to the population in < 50 thousand, 50-100 thousand, 100-300 thousand, and > 300 thousand inhabitants, and the k-means method was used to group them within each population range according to the performance of six indicators of the disease.

resultsA total of 2,845 Brazilian municipalities were included, comprising 98.5% (208,007/211,174) of new tuberculosis cases in the period. For each population range, three groups (A, B, and C) of municipalities were identified according to the performance of the indicators: A, the most satisfactory; B, the intermediates; and C, the least satisfactory. Municipalities in group A with < 100 thousand inhabitants presented results above the targets for laboratory confirmation (≥ 72%), abandonment (≤ 5%), and cure (≥ 90%), and comprised 2% of new cases of the disease. Conversely, municipalities of groups B and C presented at least five indicators with results below the targets - HIV testing (< 100%), contact investigation (< 90%), directly observed therapy (< 90%), abandonment (> 5%), and cure (< 90%) -, and corresponded to 66.7% of new cases of tuberculosis. In group C of municipalities with > 300 thousand inhabitants, which included 19 of the 27 capitals and 43.1% of new cases of tuberculosis, the lowest percentages of contact investigation (mean = 56.4%) and directly observed therapy (mean = 15.4%) were verified, in addition to high abandonment (mean = 13.9%) and low coverage of primary health care (mean = 66.0%).

conclusionsMost new cases of tuberculosis occurred in municipalities with unsatisfactory performance for disease control. Expanding the coverage of primary health care in these places can reduce abandonment and increase the contact investigation and directly observed therapy.

Indexed as

TuberculosisTuberculosis, PulmonaryBrazilCitiesContact TracingHumans

Identifiers

PMID35703607
PMCPMC9239336
OpenAlexW4285743462

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.