‘M-TRACK’ (mobile phone reminders and electronic tracking tool) cuts the risk of pre-treatment loss to follow-up by 80% among people living with HIV under programme settings: a mixed-methods study from Gujarat, India

References

• UNAIDS. Global AIDS UPDATE. [Internet]. Geneva; 2016. Available from: http://www.unaids.org/sites/default/files/media_asset/global-AIDS-update-2016_en.pdf
   Google Scholar
• National AIDS Control Organization, National Institute of Medical Statistics, ICMR, Ministry of Health and Family Welfare, Government of India. India HIV estimations 2015 technical report [Internet]. New Delhi, India; 2016. Available from: http://www.naco.gov.in/sites/default/files/IndiaHIVEstimations2015.pdf
   Google Scholar
• United Nations. Transforming our World: the 2030 Agenda for sustainable development [Internet]. 2016. Available from: https://sustainabledevelopment.un.org/content/documents/21252030AgendaforSustainableDevelopmentweb.pdf
   Google Scholar
• The Joint United Nations Programme on HIV/AIDS. 90-90-90: an ambitious treatment target to help end the AIDS epidemic [Internet]. Geneva; 2014. Available from: http://www.unaids.org/sites/default/files/media_asset/90-90-90_en_0.pdf
   Google Scholar
• The Joint United Nations Programme on HIV/AIDS (UNAIDS). Global HIV statistics - factsheet [Internet]. 2016. Available from: http://www.unaids.org/sites/default/files/media_asset/UNAIDS_FactSheet_en.pdf
   Google Scholar
• Scott V, Zweigenthal V, Jennings K. Between HIV diagnosis and initiation of antiretroviral therapy: assessing the effectiveness of care for people living with HIV in the public primary care service in Cape Town, South Africa. Trop Med Int Health. 2011;16:1384–11.
   Web of Science ®Google Scholar
• Reed JB, Hanson D, McNaghten AD, et al. HIV testing factors associated with delayed entry into HIV medical care among HIV-infected persons from eighteen states, United States, 2000–2004. AIDS Patient Care STDS. 2009;23:765–773.
   PubMed Web of Science ®Google Scholar
• Shastri S, Sathyanarayna S, Nagaraja SB, et al. The journey to antiretroviral therapy in Karnataka, India: who was lost on the road? J Int AIDS Soc. The International AIDS Society. 2013;16:18502.
   Web of Science ®Google Scholar
• Duff P, Kipp W, Wild TC, et al. Barriers to accessing highly active antiretroviral therapy by HIV-positive women attending an antenatal clinic in a regional hospital in western Uganda. J Int AIDS Soc. 2010;13:37.
   PubMed Web of Science ®Google Scholar
• Sayles JN, Wong MD, Kinsler JJ, et al. The association of stigma with self-reported access to medical care and antiretroviral therapy adherence in persons living with HIV/AIDS. J Gen Intern Med. 2009;24:1101–1108.
   PubMed Web of Science ®Google Scholar
• Keane J, Pharr JR, Buttner MP, et al. Interventions to reduce loss to follow-up during all stages of the HIV care continuum in Sub-Saharan Africa: a systematic review. AIDS Behav. 2016.
   Web of Science ®Google Scholar
• Telephone Registration Authority of India. Highlights of telecom subscription data [Internet]. New Delhi, India; 2017. Available from: www.trai.gov.in/sites/default/files/TelecomSub_Eng_pr.03_09-01-2017.pdf
   Google Scholar
• Aranda-Jan CB, Mohutsiwa-Dibe N, Loukanova S. Systematic review on what works, what does not work and why of implementation of mobile health (mHealth) projects in Africa. BMC Public Health. 2014;14:188.
   PubMed Web of Science ®Google Scholar
• Rama B, Syed-Abdul S, Kumar A, et al. mHealth: an updated systematic review with a focus on HIV/AIDS and tuberculosis long term. Comput Methods Programs Biomed. 2015;122:257–265. Elsevier Ireland Ltd.
   Web of Science ®Google Scholar
• Creswell J, Plano Clark V. Designing and conducting mixed methods research. 2nd ed. Thousand Oaks (CA): Sage Publications Ltd; 2010.
   Google Scholar
• Kvale S. Doing interviews. London (UK): Sage Publications; 2007.
   Google Scholar
• Barbour R. Doing focus groups. London (UK): Sage Publications; 2007.
   Google Scholar
• Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19:349–357.
   PubMed Web of Science ®Google Scholar
• Catalani C, Philbrick W, Fraser H, et al. mHealth for HIV treatment & prevention: a systematic review of the literature. Open AIDS J. 2013;7:17–41.
   PubMedGoogle Scholar
• Govindasamy D, Meghij J, Negussi EK, et al. Interventions to improve or facilitate linkage to or retention in pre-ART (HIV) care and initiation of ART in low- and middleincome settings - A systematic review. J Int AIDS Soc. 2014;17.
   Web of Science ®Google Scholar
• Kunutsor S, Walley J, Katabira E, et al. Using mobile phones to improve clinic attendance amongst an antiretroviral treatment cohort in rural Uganda: a cross-sectional and prospective study. AIDS Behav. 2010;14:1347–1352. Springer US.
   PubMed Web of Science ®Google Scholar
• Chen Z, Fang L, Chen L, et al. Comparison of an SMS text messaging and phone reminder to improve attendance at a health promotion center: a randomized controlled trial. J Zhejiang Univ Sci B BioMed Central. 2008;9:34–38.
   PubMed Web of Science ®Google Scholar
• Junod Perron N, Dominic Dao M, Kossovsky MP, et al. Reduction of missed appointments at an urban primary care clinic: a randomised controlled study. BMC Fam Pract. 2010;11:79.
   Web of Science ®Google Scholar
• Tomlinson M, Rotheram-Borus MJ, Swartz L, et al. Scaling up mHealth: where is the evidence? PLoS Med. Public Library of Science. 2013;10:e1001382.
   PubMed Web of Science ®Google Scholar
• Lemaire J. Scaling up mobile health - Elements necessary for the successful scale up of mHealth in developing countries. Advanced Development for Africa (ADA): Geneva, Switzerland; 2011.
   Google Scholar
• Brand RA. Editorial: standards of Reporting: the CONSORT, QUORUM, and STROBE guidelines. Clin Orthop Relat Res. 2009;467:1393–1394.
   PubMed Web of Science ®Google Scholar