Literature DB >> 29437940

The effect of text messaging on latent tuberculosis treatment adherence: a randomised controlled trial.

James C Johnston1,2, Mia L van der Kop2, Kirsten Smillie2, Gina Ogilvie2,3, Fawziah Marra4, Mohsen Sadatsafavi4, Kamila Romanowski5, Matthew A Budd2, Jan Hajek2, Victoria Cook5,2, Richard T Lester2.   

Abstract

There is limited high-quality evidence available to inform the use of text messaging to improve latent tuberculosis infection (LTBI) treatment adherence.We performed a parallel, randomised controlled trial at two sites to assess the effect of a two-way short message service on LTBI adherence. We enrolled adults initiating LTBI therapy from June 2012 to September 2015 in British Columbia, Canada. Participants were randomised in a 1:1 ratio to standard LTBI treatment (control) or standard LTBI treatment plus two-way weekly text messaging (intervention). The primary outcome was treatment completion, defined as taking ≥80% prescribed doses within 12 months (isoniazid) or 6 months (rifampin) of enrolment. The trial was unblinded except for the data analyst.A total of 358 participants were assigned to the intervention (n=170) and control (n=188) arms. In intention-to-treat analysis, the proportion of participants completing LTBI therapy in the intervention and control arms was 79.4% and 81.9%, respectively (RR 0.97, 95% CI 0.88-1.07; p=0.550). Results were similar for pre-specified secondary end-points, including time-to-completion of LTBI therapy, completion of >90% of prescribed LTBI doses and health-related quality of life.Weekly two-way text messaging did not improve LTBI completion rates compared to standard LTBI care; however, completion rates were high in both treatment arms.
Copyright ©ERS 2018.

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Year:  2018        PMID: 29437940     DOI: 10.1183/13993003.01488-2017

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  10 in total

1.  What is the clinical effectiveness and cost-effectiveness of using digital health technologies to improve treatment -adherence and outcomes in patients with tuberculosis?

Authors:  Kartik Kumar; Saira Ghafur
Journal:  Future Healthc J       Date:  2019-06

Review 2.  Use of Isoniazid Monotherapy in Comparison to Rifamycin-Based Regimen for the Treatment of Patients With Latent Tuberculosis: A Systematic Review.

Authors:  Noor Ul Ain Shahid; Noreen Naguit; Rakesh Jakkoju; Sadia Laeeq; Tiba Reghefaoui; Hafsa Zahoor; Ji Hyun Yook; Muneeba Rizwan; Lubna Mohammed
Journal:  Cureus       Date:  2022-05-17

3.  Identifying Barriers and Facilitators of 13 mHealth Projects in North America and Africa: Protocol for a 5-Year Implementation Science Study.

Authors:  Binyam Tilahun; Kirsten Smillie; Kevin Louis Bardosh; Melanie Murray; Mark Fitzgerald; Victoria Cook; Iraj Poureslami; Jamie Forrest; Richard Lester
Journal:  JMIR Res Protoc       Date:  2018-07-03

Review 4.  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

Review 5.  Mobile phone short message service for adherence support and care of patients with tuberculosis infection: Evidence and opportunity.

Authors:  Richard Lester; Jay Jh Park; Lena M Bolten; Allison Enjetti; James C Johnston; Kevin Schwartzman; Binyam Tilahun; Arne von Delft
Journal:  J Clin Tuberc Other Mycobact Dis       Date:  2019-06-06

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

Review 7.  Digital Health Technologies to Improve Medication Adherence and Treatment Outcomes in Patients With Tuberculosis: Systematic Review of Randomized Controlled Trials.

Authors:  Abdurahman Ridho; Sofa D Alfian; Job F M van Boven; Jutti Levita; Esin Aki Yalcin; Ly Le; Jan-Willem Alffenaar; Eelko Hak; Rizky Abdulah; Ivan S Pradipta
Journal:  J Med Internet Res       Date:  2022-02-23       Impact factor: 5.428

Review 8.  Influencing medication taking behaviors using automated two-way digital communication: A narrative synthesis systematic review informed by the Behavior Change Wheel.

Authors:  Gemma Donovan; Nicola Hall; Jonathan Ling; Felicity Smith; Scott Wilkes
Journal:  Br J Health Psychol       Date:  2022-01-26

9.  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

10.  Evaluating the potential costs and impact of digital health technologies for tuberculosis treatment support.

Authors:  Ntwali Placide Nsengiyumva; Benjamin Mappin-Kasirer; Olivia Oxlade; Mayara Bastos; Anete Trajman; Dennis Falzon; Kevin Schwartzman
Journal:  Eur Respir J       Date:  2018-11-01       Impact factor: 16.671

  10 in total

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