Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial.

By R. Lester, P. Ritvo, E. Mills, Antony Kariri, S. Karanja, Michael H. Chung, W. Jack, James Habyarimana, M. Sadatsafavi, M. Najafzadeh and 9 more. The Lancet, 2010

1,295 citations recorded by the source corpus.

Subfields: General Health Professions, Infectious Diseases, Information Systems

View Paper: https://www.semanticscholar.org/paper/157a00ee48ab4b956bc37d74961073e799c1f21d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Health Professions

1. J. Gish
2. A. Williamson
3. Nicola Diviani
4. Maddalena Fiordelli
5. Peter Johannes Schulz
6. Ute Stephan

In Information Systems

1. Peter Johannes Schulz
2. Ute Stephan
3. Alisher Mirzabaev
4. Oliver Kiptoo Kirui

Citations in the corpus

• Economics of land degradation in Eastern Africa (2014, background): “However, there has been little research conducted so far on the impact of these innovative 2 infrastructural transformations on land management or even on agricultural growth in general (Aker, 2008; Rashid & Elder, 2009; Muto & Yamano, 2009; Aker & Mbithi, 2010; Lester et al., 2010).”
• Mapping mHealth Research: A Decade of Evolution (2013, background): “The final sample for the full-text review included 117 [17-133] articles out of the 352 described above.”
• Let’s Focus on Solutions to Entrepreneurial Ill-Being! Recovery Interventions to Enhance Entrepreneurial Well-Being (2021, background): “(Fjeldsoe et al., 2020; Lester et al., 2010), influenced selfmotivation through social media communication (Scheerman et al.”
• mHealth 2.0: Experiences, Possibilities, and Perspectives (2014, background): “In 1 high-quality trial that used text messages to improve adherence to antiretroviral therapy among HIV-positive patients in Kenya, the intervention significantly reduced the patients’ viral load but did not significantly reduce mortality [35].”
• Systematic review on what works, what does not work and why of implementation of mobile health (mHealth) projects in Africa (2014, background): “airtime credit) allows high response rate to the project [21,22] -Costs and logistics affect text messaging responding on time [14,33,61] -Reporting transparency for donors and stakeholders [37]”
• The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review (2013, neutral): “Area Trial Intervention Outcome MD/RR LCI UCI Adherence Lester 2010 [37] SMS intervention versus no SMS Self-reported adherence (.”
• Scaling Up mHealth: Where Is the Evidence? (2013, background): “Three randomized trials studying HIV treatment adherence found benefits [19,20] and one found no impact [21,22].”