Evidence map›Paper›PMID 35443938›Full record

ArticleBMJ global health2022

COVID-19-related healthcare impacts: an uncontrolled, segmented time-series analysis of tuberculosis diagnosis services in Mozambique, 2017-2020.

Ivan Manhiça, Orvalho Augusto, Kenneth Sherr, James Cowan, Rosa Marlene Cuco, Sãozinha Agostinho, Bachir C Macuacua, Isaías Ramiro, Naziat Carimo, Maria Benigna Matsinhe and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  7. A critical analysis of the decreasing trends in tuberculosis cure indicators in Brazil, 2001-2022.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2024
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  12. COVID-19 impacts on healthcare access in sub-Saharan Africa: an overview.The journal of venomous animals and toxins including tropical diseases · 2023
    Article
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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

15 authors at 3 institutions in 2 countries.

Ivan ManhiçaMinisterio da Saude, Maputo, Mozambique.
Orvalho AugustoSaude da Comunidade, Faculdade de Medicina, Cidade de Maputo, Mozambique.ORCID 0000-0002-0005-3968
Kenneth SherrDepartment of Global Health, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-2963-0829
James CowanDepartment of Global Health, University of Washington, Seattle, Washington, USA.
Rosa Marlene CucoMinisterio da Saude, Maputo, Mozambique.
Sãozinha AgostinhoMinisterio da Saude, Maputo, Mozambique.
Bachir C MacuacuaMinisterio da Saude, Maputo, Mozambique.
Isaías RamiroComité para a Saúde de Moçambique, Maputo City, Mozambique.
Naziat CarimoDepartment of Global Health, University of Washington, Seattle, Washington, USA.
Maria Benigna MatsinheMinisterio da Saude, Maputo, Mozambique.
Stephen GloydDepartment of Global Health, University of Washington, Seattle, Washington, USA.
Sergio ChicumbeInstituto Nacional de Saude, Maputo, Mozambique.
Raimundo MachavaMinisterio da Saude, Maputo, Mozambique.
Stélio TembeMinisterio da Saude, Maputo, Mozambique.
Quinhas FernandesMinisterio da Saude, Maputo, Mozambique ferq09@gmail.com.ORCID 0000-0002-1539-0967
University of Washington · USMinistry of Health · MZInstituto Nacional de Saúde · MZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCurrently, COVID-19 dominates the public health agenda and poses a permanent threat, leading to health systems' exhaustion and unprecedented service disruption. Primary healthcare services, including tuberculosis services, are at increased risk of facing severe disruptions, particularly in low-income and middle-income countries. Indeed, corroborating model-based forecasts, there is increasing evidence of the COVID-19 pandemic's negative impact on tuberculosis case detection.

methodsApplying a segmented time-series analysis, we assessed the effects of COVID-19-related measures on tuberculosis diagnosis service across districts in Mozambique. Ministry health information system data were used from the first quarter of 2017 to the end of 2020. The model, performed under the Bayesian premises, was estimated as a negative binomial with random effects for districts and provinces.

resultsA total of 154 districts were followed for 16 consecutive quarters. Together, these districts reported 96 182 cases of all forms of tuberculosis in 2020. At baseline (first quarter of 2017), Mozambique had an estimated incidence rate of 283 (95% CI 200 to 406) tuberculosis cases per 100 000 people and this increased at a 5% annual rate through the end of 2019. We estimated that 17 147 new tuberculosis cases were potentially missed 9 months after COVID-19 onset, resulting in a 15.1% (95% CI 5.9 to 24.0) relative loss in 2020. The greatest impact was observed in the southern region at 40.0% (95% CI 30.1 to 49.0) and among men at 15% (95% CI 4.0 to 25.0). The incidence of pulmonary tuberculosis increased at an average rate of 6.6% annually; however, an abrupt drop (15%) was also observed immediately after COVID-19 onset in March 2020.

conclusionThe most significant impact of the state of emergency was observed between April and June 2020, the quarter after COVID-19 onset. Encouragingly, by the end of 2020, clear signs of health system recovery were visible despite the initial shock.

Indexed as

COVID-19TuberculosisBayes TheoremDelivery of Health CareFemaleHumansMaleMozambiquePandemicsCOVID-19Health systemsTuberculosis

Identifiers

PMID35443938
PMCPMC9021460
OpenAlexW4224221645

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.