Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Aug 5;6(8):e38247.
doi: 10.2196/38247.

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

Affiliations

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

Preetham Bachina et al. JMIR Form Res. .

Abstract

Background: In-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.

Objective: In 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.

Methods: We 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.

Results: Among 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).

Conclusions: vDOT 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.

Keywords: COVID-19; mHealth; medication adherence; mobile health; observed therapy; primary outcome; technology adoption; telehealth; telemedicine; treatment; treatment adherence; tuberculosis; vDOT; video directly observed therapy; virtual health.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest: MS is among the inventors of the video directly observed therapy technology licensed to emocha Mobile Health Inc. Under a license agreement between emocha Mobile Health Inc and the Johns Hopkins University (JHU), MS and JHU are entitled to royalties related to the technology described in this study. Specific to this study, MS did not and will not receive royalties or compensation from emocha Mobile Health Inc. Additionally, JHU owns equity in emocha. This arrangement has been reviewed and approved by JHU in accordance with its conflict-of-interest policies. As per JHU’s Institutional Review Board (IRB) and Conflicts of Interest (COI) office, conflicted study team members (MS) were excluded from accessing the original data set. Oversight of data management, including primary analyses and audit of all data analyses, were carried out by nonconflicted designees (GM, EM, and CKL), as approved by the JHU IRB and COI office.

References

    1. Tuberculosis. World Health Organization. 2021. [2022-07-15]. https://www.who.int/news-room/fact-sheets/detail/tuberculosis .
    1. Reported Tuberculosis in the United States, 2020. Centers for Disease Control and Prevention. [2022-07-15]. https://www.cdc.gov/tb/statistics/reports/2020/default.htm .
    1. Shah M, Dorman SE. Latent Tuberculosis Infection. N Engl J Med. 2021 Dec 09;385(24):2271–2280. doi: 10.1056/NEJMcp2108501. - DOI - PubMed
    1. Nahid P, Dorman SE, Alipanah N, Barry PM, Brozek JL, Cattamanchi A, Chaisson LH, Chaisson RE, Daley CL, Grzemska M, Higashi JM, Ho CS, Hopewell PC, Keshavjee SA, Lienhardt C, Menzies R, Merrifield C, Narita M, O'Brien R, Peloquin CA, Raftery A, Saukkonen J, Schaaf HS, Sotgiu G, Starke JR, Migliori GB, Vernon A. Official American Thoracic Society/Centers for Disease Control and Prevention/Infectious Diseases Society of America Clinical Practice Guidelines: Treatment of Drug-Susceptible Tuberculosis. Clin Infect Dis. 2016 Oct 01;63(7):e147–e195. doi: 10.1093/cid/ciw376. http://europepmc.org/abstract/MED/27516382 ciw376 - DOI - PMC - PubMed
    1. Prasad R, Singh A, Gupta N. Adverse drug reactions in tuberculosis and management. Indian J Tuberc. 2019 Oct;66(4):520–532. doi: 10.1016/j.ijtb.2019.11.005.S0019-5707(19)30437-8 - DOI - PubMed

LinkOut - more resources