Literature DB >> 27084810

Enhancing management of tuberculosis treatment with video directly observed therapy in New York City.

C Chuck1, E Robinson1, M Macaraig1, M Alexander1, J Burzynski1.   

Abstract

SETTING: Directly observed therapy (DOT), the standard of care for monitoring patients on treatment for tuberculosis (TB), requires substantial health department resources, and can be inconvenient and disruptive for patients.
OBJECTIVE: To determine whether video technology for remote observation of patients on anti-tuberculosis treatment (VDOT) is as effective as in-person DOT.
DESIGN: Eligible TB patients in New York City were prospectively enrolled in VDOT from September 2013 to September 2014. We compared treatment outcomes and worker output for VDOT and in-person DOT.
RESULTS: Among 390 patients on DOT for the treatment of TB, 61 (16%) were on VDOT and 329 (84%) on in-person DOT. Adherence to scheduled VDOT sessions was 95% (3292/3455) compared to 91% (32 204/35 442) with in-person DOT (>P < 0.01). VDOT enabled a DOT worker to observe a maximum of 25 patients per day, similar to DOT workers who observed patients in clinic (n = 25), but twice that of DOT workers who observed patients in the community (n = 12). Treatment completion with VDOT was similar to that with in-person DOT (96% vs. 97%, P = 0.63). The primary problems encountered during VDOT sessions were interruption of video and audio connectivity.
CONCLUSION: Implementation of VDOT resulted in successful anti-tuberculosis treatment outcomes while maximizing health department resources.

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Year:  2016        PMID: 27084810     DOI: 10.5588/ijtld.15.0738

Source DB:  PubMed          Journal:  Int J Tuberc Lung Dis        ISSN: 1027-3719            Impact factor:   2.373


  40 in total

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2.  Cost of Tuberculosis Therapy Directly Observed on Video for Health Departments and Patients in New York City; San Francisco, California; and Rhode Island (2017-2018).

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Journal:  Drug Alcohol Depend       Date:  2021-07-28       Impact factor: 4.852

8.  Cost savings associated with video directly observed therapy for treatment of tuberculosis.

Authors:  C K Lam; K Fluegge; M Macaraig; J Burzynski
Journal:  Int J Tuberc Lung Dis       Date:  2019-11-01       Impact factor: 2.373

9.  The impact of digital health technologies on tuberculosis treatment: a systematic review.

Authors:  Brian Kermu Ngwatu; Ntwali Placide Nsengiyumva; Olivia Oxlade; Benjamin Mappin-Kasirer; Nhat Linh Nguyen; Ernesto Jaramillo; Dennis Falzon; Kevin Schwartzman
Journal:  Eur Respir J       Date:  2018-01-11       Impact factor: 16.671

10.  Cost-effectiveness of artificial intelligence monitoring for active tuberculosis treatment: A modeling study.

Authors:  Jonathan Salcedo; Monica Rosales; Jeniffer S Kim; Daisy Nuno; Sze-Chuan Suen; Alicia H Chang
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