Assessing adherence and care referral chains

Christopoulos, Katerina A., et al. “A text messaging intervention to improve retention in care and virologic suppression in a US urban safety-net HIV clinic: study protocol for the Connect4Care (C4C) randomized controlled trial.” BMC infectious diseases 14.1 (2014): 718.

Dunbar, Peter J., et al. “A two-way messaging system to enhance antiretroviral adherence.” Journal of the American Medical Informatics Association 10.1 (2003): 11-15.

Kunutsor, Setor, et al. “Using mobile phones to improve clinic attendance amongst an antiretroviral treatment cohort in rural Uganda: a cross-sectional and prospective study.” AIDS and behavior 14.6 (2010): 1347-1352.

Lester RT, Ritvo P, Mills EJ, Kariri A, Karanja S, et al. “Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial.” Lancet 376 (2010): 1838–1845.

Lester, Richard T., Lawrence Gelmon, and Francis A. Plummer.“Cell phones: tightening the communication gap in resource-limited antiretroviral programmes?.” Aids 20.17 (2006): 2242-2244.

Maduka, O., and C. I. Tobin-West. “Adherence counseling and reminder text messages improve uptake of antiretroviral therapy in a tertiary hospital in Nigeria.” Nigerian journal of clinical practice 16.3 (2013): 302-308.

Modrek, Sepideh, et al. “SMS messages increase adherence to rapid diagnostic test results among malaria patients: results from a pilot study in Nigeria.” Malar J 13.69 (2014): 10-1186.

Odeny TA, Bailey RC, Bukusi EA, Simoni JM, Tapia KA, et al.“Text Messaging to Improve Attendance at Post-Operative Clinic Visits after Adult Male Circumcision for HIV Prevention: A Randomized Controlled Trial.” PLoS ONE (2012):7(9): e43832.

 Orrell, Catherine, et al. “A randomised controlled trial of real-time electronic adherence monitoring with text message dosing reminders in people starting first-line antiretroviral therapy.” JAIDS (2015).

Pop-Eleches C, Thirumurthy H, Habyarimana JP, et al. “Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders.” AIDS (2011); 25: 825–34.

 

Monitoring feasibility, acceptability and quality of services

Barrington, Jim, et al. “SMS for Life: a pilot project to improve anti-malarial drug supply management in rural Tanzania using standard technology.” Malar J9.298 (2010): 1-9.

Mahmud, Nadim, Joce Rodriguez, and Josh Nesbit.
“A text message-based intervention to bridge the healthcare communication gap in the rural developing world.” Technology and Health Care 18.2 (2010): 137-144.

Stockwell, Melissa S., et al. “MoSAIC: Mobile Surveillance for Acute Respiratory Infections and Influenza-Like Illness in the Community.” American journal of epidemiology (2014): kwu303.

Zurovac D, Sudoi RK, Akhwale WS, Ndiritu M, Hamer DH, Rowe AK et al. ”The effect of mobile phone text-message reminders on Kenyan health workers’ adherence to malaria treatment guidelines: a cluster randomised trial.” Lancet (2011);378:795-803.

 

Reducing recall and social desirability bias

Lim, Megan SC, et al. “Impact of text and email messaging on the sexual health of young people: a randomised controlled trial.” Journal of epidemiology and community health 66.1 (2012): 69-74.

Schober MF, Conrad FG, Antoun C, Ehlen P, Fail S, Hupp AL, et al. “Precision and Disclosure in Text and Voice Interviews on Smartphones.” PLoS ONE 10(6): e0128337 (2015).

West, Brady T., Dirgha Ghimire, and William G. Axinn.“Evaluating a Modular Design Approach to Collecting Survey Data Using Text Messages.” Survey research methods. Vol. 9. No. 2. NIH Public Access, 2015.
Monitoring feasibility, acceptability and quality