Evidence map›Paper›PMID 35834671›Full record

ArticleJMIR formative research2022

Programmatic Adoption and Implementation of Video-Observed Therapy in Minnesota: Prospective Observational Cohort Study.

Preetham Bachina, Christopher Kirk Lippincott, Allison Perry, Elizabeth Munk, Gina Maltas, Rebecca Bohr, Robert Bryan Rock, Maunank Shah

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
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  4. Review
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  6. Review
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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.

Preetham BachinaDivision of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-9833-4487
Christopher Kirk LippincottDivision of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-6887-9870
Allison PerryDivision of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0002-5745-1684
Elizabeth MunkDivision of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0003-3155-1027
Gina MaltasDivision of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0001-8920-3784
Rebecca BohrHennepin County Public Health, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0001-7535-2922
Robert Bryan RockDivision of Infectious Disease, Department of Medicine, Hennepin Healthcare, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0002-1680-0438
Maunank ShahDivision of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-0979-2388

Funding

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

Abstract

backgroundIn-person directly observed therapy (DOT) is standard of care for tuberculosis (TB) treatment adherence monitoring in the US, with increasing use of video-DOT (vDOT). In Minneapolis, vDOT became available in 2019.

objectiveIn this paper, we aimed to evaluate the use and effectiveness of vDOT in a program setting, including comparison of verified adherence among those receiving vDOT and in-person DOT. We also sought to understand the impact of COVID-19 on TB treatment adherence and technology adoption.

methodsWe abstracted routinely collected data on individuals receiving therapy for TB in Minneapolis, MN, between September 2019 and June 2021. Our primary outcomes were to assess vDOT use and treatment adherence, defined as the proportion of prescribed doses (7 days per week) verified by observation (in person versus video-DOT), and to compare individuals receiving therapy in the pre-COVID-19 (before March 2020), and post-COVID-19 (after March 2020) periods; within the post-COVID-19 period, we evaluated early COVID-19 (March-August 2020), and intra-COVID-19 (after August 2020) periods.

resultsAmong 49 patients with TB (mean age 41, SD 19; n=27, 55% female and n=47, 96% non-US born), 18 (36.7%) received treatment during the post-COVID-19 period. Overall, verified adherence (proportion of observed doses) was significantly higher when using vDOT (mean 81%, SD 17.4) compared to in-person DOT (mean 54.5%, SD 10.9; P=.001). The adoption of vDOT increased significantly from 35% (11/31) of patients with TB in the pre-COVID-19 period to 67% (12/18) in the post-COVID-19 period (P=.04). Consequently, overall verified (ie, observed) adherence among all patients with TB in the clinic improved across the study periods (56%, 67%, and 79%, P=.001 for the pre-, early, and intra-COVID-19 periods, respectively).

conclusionsvDOT use increased after the COVID-19 period, was more effective than in-person DOT at verifying ingestion of prescribed treatment, and led to overall increased verified adherence in the clinic despite the onset of the COVID-19 pandemic.

Indexed as

COVID-19medication adherencemHealthmobile healthobserved therapyprimary outcometechnology adoptiontelehealthtelemedicinetreatmenttreatment adherencetuberculosisvDOTvideo directly observed therapyvirtual health

Identifiers

PMID35834671
PMCPMC9359306

What OpenQuestion holds

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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.