Evidence map›Paper›PMID 36977166›Full record

ArticleTropical medicine and infectious disease2023

The Impact of COVID-19 on Tuberculosis Program Performance in the Kingdom of Lesotho.

Afom T Andom, Donald Fejfar, Courtney M Yuen, Melino Ndayizigiye, Jean Claude Mugunga, Joia S Mukherjee

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
9.1field-weighted citation impact, top 3% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Afom T AndomPartners in Health-Lesotho, Maseru 0100, Lesotho.ORCID 0000-0001-9300-602X
Donald FejfarPartners in Health, Boston, MA 02199, USA.ORCID 0000-0001-5006-6276
Courtney M YuenDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-5219-2599
Melino NdayizigiyePartners in Health-Lesotho, Maseru 0100, Lesotho.
Jean Claude MugungaPartners in Health, Boston, MA 02199, USA.
Joia S MukherjeePartners in Health, Boston, MA 02199, USA.
Partners In Health · USBrigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs tuberculosis (TB) is an airborne disease requiring multi-month therapy, systems of TB detection and care were profoundly impacted by the COVID-19 pandemic. The worsening economic situation, including income, food, and housing insecurity, impacted the social conditions in which TB-already a leading killer in resource-limited settings-thrives. This study assesses the impact of COVID-19 on TB detection and treatment in Lesotho.

methodsWe used routine program data from 78 health facilities in Lesotho. We created time series models from July 2018 to March 2021 to quantify COVID-19-related disruptions to TB program indicators: outpatient visits; presumptive, diagnosed, treated, and HIV co-infected cases; and treatment outcomes including successful (cured and completed) and unsuccessful (death and treatment outcome unknown).

resultsWe observed a significant decline in cumulative outpatient visits (-37.4%, 95% prediction interval [PI]: -40.1%, -28.7%) and new TB cases diagnosed (-38.7%, 95%PI: -47.2%, -28.4%) during the pandemic, as well as TB-HIV co-infections (-67.0%, 95%PI: -72.6%, -60.0%). However, we observed no difference in treatment success (-2.1%, 95%PI: -17.0%, 15.8%).

conclusionsTB case detection in Lesotho fell during the COVID-19 pandemic, likely related to the uptake of overall health services. However, treatment success rates did not change, indicating a strong health system and the success of local strategies to maintain treatment programs.

Indexed as

COVID-19essential health serviceshealth policytime series modelingtuberculosis

Identifiers

PMID36977166
PMCPMC10054999
OpenAlexW4324056597

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.