Evidence map›Paper›PMID 36289485›Full record

ArticleBMC infectious diseases2022

Tuberculosis treatment adherence in the era of COVID-19.

Christopher K Lippincott, Allison Perry, Elizabeth Munk, Gina Maltas, Maunank Shah

Abstract read
In one paragraph

Article in BMC infectious diseases, 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
–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

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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Christopher K LippincottDivision of Infectious Diseases, Johns Hopkins School of Medicine, 1550 Orleans St, CRB-II, 1M-10, 21287, Baltimore, MD, USA.
Allison PerryDivision of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY, USA.
Elizabeth MunkDivision of Infectious Diseases, Johns Hopkins School of Medicine, 1550 Orleans St, CRB-II, 1M-10, 21287, Baltimore, MD, USA.
Gina MaltasDivision of Infectious Diseases, Johns Hopkins School of Medicine, 1550 Orleans St, CRB-II, 1M-10, 21287, Baltimore, MD, USA.
Maunank ShahDivision of Infectious Diseases, Johns Hopkins School of Medicine, 1550 Orleans St, CRB-II, 1M-10, 21287, Baltimore, MD, USA. mshah28@jhmi.edu.

Funding

Evaluation of National Video Directly Observed Therapy ImplementationR44MD010521 · NIMHD · EMOCHA MOBILE HEALTH, INC. · PI SEIGUER, SEBASTIAN, SHAH, MAUNANK · 2018 to 2019
$995k
NIH HHS R44MD010521NIMHD NIH HHS R44 MD010521
6 · The paper itself

Abstract

backgroundIn-person directly observed therapy (DOT) is commonly used for tuberculosis (TB) treatment monitoring in the US, with increasing usage of video-DOT (vDOT). We evaluated the impact of COVID-19 on TB treatment adherence, and utilization and effectiveness of vDOT.

methodsWe abstracted routinely collected data on individuals treated for TB disease in Baltimore, Maryland between April 2019 and April 2021. Our primary outcomes were to assess vDOT utilization and treatment adherence, defined as the proportion of prescribed doses (7 days/week) verified by observation (in-person versus video-DOT), comparing individuals in the pre-COVID and COVID (April 2020) periods.

resultsAmong 52 individuals with TB disease, 24 (46%) received treatment during the COVID-19 pandemic. vDOT utilization significantly increased in the COVID period (18/24[75%]) compared to pre-COVID (12/28[43%], p = 0.02). Overall, median verified adherence was similar pre-COVID and COVID periods (65% versus 68%, respectively, p = 0.96). Adherence was significantly higher overall when using vDOT (median 86% [IQR 70-98%]) compared to DOT (median 59% [IQR 55-64%], p < 0.01); this improved adherence with vDOT was evident in both the pre-COVID (median 98% vs. 58%, p < 0.01) and COVID period (median 80% vs. 62%, p = 0.01).

conclusionvDOT utilization increased during the COVID period and was more effective than in-person DOT at verifying ingestion of prescribed treatment.

Indexed as

COVID-19 Drug TreatmentTelemedicineTuberculosisAntitubercular AgentsDirectly Observed TherapyHumansMedication AdherencePandemicsAntitubercular AgentsMedication adherencemHealthTelemedicineTuberculosisVideo DOT

Identifiers

PMID36289485
PMCPMC9607764

What OpenQuestion holds

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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.