Literature DB >> 27598709

A New Method to Directly Observe Tuberculosis Treatment: Skype Observed Therapy, a Patient-Centered Approach.

Tavora Buchman1, Celina Cabello.   

Abstract

CONTEXT: Tuberculosis (TB) treatment completion is in part determined by patient's adherence to long-term drug regimens. To best ensure compliance, directly observed therapy (DOT) is considered the standard of practice. Nassau County Department of Health TB Control is responsible for providing DOT to patients with TB.
OBJECTIVE: Tuberculosis Control sought to use and evaluate Skype Observed Therapy (SOT) as an alternative to DOT for eligible patients.
DESIGN: The evaluation included analysis of patient's acceptance and adherence to drug regimen using SOT. Tuberculosis Control assessed staff efficiency and cost savings for this program. MAIN OUTCOME MEASURES: Percentages of SOT of patients and successful SOT visits, mileage, and travel time savings.
RESULTS: Twenty percent of the caseload used SOT and 100% of patients who were eligible opted in. Average SOT success was 79%. Total mileage savings and time saved were $9,929.07 and 614 hours.
CONCLUSIONS: Because SOT saves cost and time and is a suitable alternative to DOT for patients, it should be considered as part of new policies and practices in TB control programs.

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Year:  2017        PMID: 27598709     DOI: 10.1097/PHH.0000000000000339

Source DB:  PubMed          Journal:  J Public Health Manag Pract        ISSN: 1078-4659


  10 in total

1.  Using Telemedicine for Tuberculosis Care Management: a Three County Inter-Municipal Approach.

Authors:  Brenden A Bedard; Mary Younge; Paul A Pettit; Michael Mendoza
Journal:  J Med Syst       Date:  2017-11-27       Impact factor: 4.460

Review 2.  Digital directly observed therapy to monitor adherence to medications: a scoping review.

Authors:  Marie C D Stoner; Allysha C Maragh-Bass; Adam C Sukhija-Cohen; Parya Saberi
Journal:  HIV Res Clin Pract       Date:  2022-07-18

3.  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

4.  Technology-Enhanced Consultations in Diabetes, Cancer, and Heart Failure: Protocol for the Qualitative Analysis of Remote Consultations (QuARC) Project.

Authors:  Sara E Shaw; Deborah Cameron; Joseph Wherton; Lucas M Seuren; Shanti Vijayaraghavan; Satyajit Bhattacharya; Christine A'Court; Joanne Morris; Trisha Greenhalgh
Journal:  JMIR Res Protoc       Date:  2018-07-31

Review 5.  Use of Digital Technology to Enhance Tuberculosis Control: Scoping Review.

Authors:  Yejin Lee; Mario C Raviglione; Antoine Flahault
Journal:  J Med Internet Res       Date:  2020-02-13       Impact factor: 5.428

6.  Does phone messaging improves tuberculosis treatment success? A systematic review and meta-analysis.

Authors:  Kassahun Dessie Gashu; Kassahun Alemu Gelaye; Zeleke Abebaw Mekonnen; Richard Lester; Binyam Tilahun
Journal:  BMC Infect Dis       Date:  2020-01-14       Impact factor: 3.090

7.  Effect of a phone reminder system on patient-centered tuberculosis treatment adherence among adults in Northwest Ethiopia: a randomised controlled trial.

Authors:  Kassahun Dessie Gashu; Kassahun Alemu Gelaye; Richard Lester; Binyam Tilahun
Journal:  BMJ Health Care Inform       Date:  2021-06

8.  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
Journal:  PLoS One       Date:  2021-07-21       Impact factor: 3.240

Review 9.  Synchronous and asynchronous video observed therapy (VOT) for tuberculosis treatment adherence monitoring and support.

Authors:  Richard S Garfein; Riddhi P Doshi
Journal:  J Clin Tuberc Other Mycobact Dis       Date:  2019-04-01

10.  A Comprehensive App That Improves Tuberculosis Treatment Management Through Video-Observed Therapy: Usability Study.

Authors:  Xujun Guo; Yarui Yang; Jian Wang; Howard E Takiff; Minmin Zhu; Jianping Ma; Tao Zhong; Yuzheng Fan; Shengyuan Liu
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-31       Impact factor: 4.773

  10 in total

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