Designing a Mobile Phone-Based Intervention to Promote Adherence to Antiretroviral Therapy in South India
Abstract
Integration of mobile phone technology into HIV care holds potential, particularly in resource-constrained settings. Clinic attendees in urban and rural South India were surveyed to ascertain usage of mobile phones and perceptions of their use as an adherence aid. Mobile phone ownership was high at 73%; 26% reported shared ownership. A high proportion (66%) reported using phones to call their healthcare provider. There was interest in weekly telephonic automated voice reminders to facilitate adherence. Loss of privacy was not considered a deterrent. The study presents important considerations in the design of a mobile phone-based adherence intervention in India.
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Several articles found that mHealth tools were helpful for managing care by improving attendance to medical appointments through text reminders and community health worker support.
“several articles [20,31,32,35-37] found that mHealth tools were helpful for managing care by improving attendance to medical appointments, during some of which one would assume CD4 testing took place, through text reminders and community health worker support.”
From mHealth for HIV Treatment & Prevention: A Systematic Review of the Literature (2013) · cites this paper as [37]
Several descriptive and quasi-experimental studies conclude that text message reminders are acceptable, feasible, and useful for improved treatment adherence among PLHIV in resource-constrained settings.
“Several descriptive [19,34] and quasi-experimental studies [27,35-37] conclude that text message reminders are acceptable, feasible, and useful for improved treatment adherence among PLHIV in resource-constrained settings.”
From mHealth for HIV Treatment & Prevention: A Systematic Review of the Literature (2013) · cites this paper as [37]
Cites
(2006) · Globalization and Health · doi:10.1186/1744-8603-2-9 · Cited by 467 · see citing works
Telecom Regulatory Authority of India
Bhawan, M. D. (2012) · Cited by 244 · see citing works
Curioso, W. H., & Kurth, A. (2007) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-7-24 · Cited by 107 · see citing works
Mobile phones: exceptional tools for HIV/AIDS, health, and crisis management
Lester, R. T., & Karanja, S. (2008) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(08)70265-2 · Cited by 95 · see citing works
Cell phones: tightening the communication gap in resource-limited antiretroviral programmes?
Lester, R. T., Gelmon, L. J., & Plummer, F. A. (2006) · AIDS · doi:10.1097/qad.0b013e3280108508 · Cited by 88 · see citing works
Chang, L. W., Kagaayi, J., Nakigozi, G., Packer, A. H., Serwadda, D., Quinn, T. C., Gray, R. H., Bollinger, R. C., & Reynolds, S. J. (2008) · AIDS Patient Care and STDs · doi:10.1089/apc.2007.0234 · Cited by 68 · cited 1× · see citing works
“Several recent reports of mobile phone interventions among populations in Africa and Latin America [2, 3, 7, 8] illustrate the growing popularity of this tool in enhancing healthcare particularly in resource-constrained settings.”
Evaluation of use of cellphones to aid compliance with drug therapy for HIV patients
Skinner, D., Rivette, U., & Bloomberg, C. (2007) · AIDS Care · doi:10.1080/09540120701203378 · Cited by 40 · see citing works
Mobile phones connecting efforts to tackle infectious disease
Morris, K. (2009) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(09)70118-5 · Cited by 23 · see citing works
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Pop-Eleches, C., Thirumurthy, H., Habyarimana, J. P., Zivin, J. G., Goldstein, M. P., de Walque, D., MacKeen, L., Haberer, J., Kimaiyo, S., Sidle, J., et al. (2011) · AIDS · doi:10.1097/qad.0b013e32834380c1 · Cited by 982 · see citing works
Chib, A., van Velthoven, M. H., & Car, J. (2015) · Journal of Health Communication · doi:10.1080/10810730.2013.864735 · Cited by 384 · see citing works
mHealth for HIV Treatment & Prevention: A Systematic Review of the Literature
Catalani, C., Philbrick, W., Fraser, H., Mechael, & Israelski, D. M. (2013) · The Open AIDS Journal · doi:10.2174/1874613620130812003 · Cited by 230 · see citing works
Kunutsor, S., Walley, J., Katabira, E., Muchuro, S., Balidawa, H., Namagala, E., & Ikoona, E. (2010) · AIDS and Behavior · doi:10.1007/s10461-010-9780-2 · Cited by 119 · see citing works
Devi, B. R., Syed-Abdul, S., Kumar, A., Iqbal, U., Nguyen, P.-A., Li, Y.-C. (., & Jian, W.-S. (2015) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2015.08.003 · Cited by 110 · see citing works
Siedner, M. J., Haberer, J. E., Bwana, M. B., Ware, N. C., & Bangsberg, D. R. (2012) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-12-56 · Cited by 98 · see citing works
Scope and effectiveness of mobile phone messaging for HIV/AIDS care: A systematic review
Velthoven, M. H. M. M. T. V., Brusamento, S., Majeed, A., & Car, J. (2013) · Psychology, Health & Medicine · doi:10.1080/13548506.2012.701310 · Cited by 96 · see citing works
Jennings, L., Ong’ech, J., Simiyu, R., Sirengo, M., & Kassaye, S. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-1131 · Cited by 93 · see citing works
Mbuagbaw, L., Thabane, L., Ongolo-Zogo, P., Lester, R. T., Mills, E., Volmink, J., Yondo, D., Essi, M. J., Bonono-Momnougui, R.-C., Mba, R., et al. (2011) · Trials · doi:10.1186/1745-6215-12-5 · Cited by 66 · see citing works
Huang, D., Sangthong, R., McNeil, E., Chongsuvivatwong, V., Zheng, W., & Yang, X. (2013) · AIDS Research and Treatment · doi:10.1155/2013/580974 · Cited by 58 · see citing works
Duggal, M., Chakrapani, V., Liberti, L., Satyanarayna, V., Varghese, M., Singh, P., Ranganathan, M., Chandra, P., & Reynolds, N. R. (2018) · AIDS Patient Care and STDs · doi:10.1089/apc.2017.0315 · Cited by 30 · see citing works
- Authors
- Shet, A., Arumugam, K., Rodrigues, R., Rajagopalan, N., Shubha, K., Raj, T., D’souza, G., & De Costa, A.
- Affiliations
- St. John's National Academy of Health Sciences (IN)
- Corresponding author
- Shet, Anita
- Venue
- AIDS and Behavior
- Published
- 2010-01-07
- Volume
- 14
- Issue
- 3
- Pages
- 716-720
- ISSN
- 1090-7165 (ISSN-L)
- 1573-3254
- OpenAlex
- W2010374116
- Cited by
- 122
- References
- 8
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 3 · 2021: 6 · 2020: 4 · 2019: 6 · 2018: 6 · 2017: 4 · 2016: 6 · 2015: 47 · 2014: 9 · 2013: 8 · 2012: 10
- FWCI
- 16.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- AIDS and Behavior (publishedVersion)
- PubMed (publishedVersion)
- Funders
- European Commission
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Keywords
- mobile phone intervention, antiretroviral therapy adherence, HIV care, mobile phone ownership, privacy concerns, South India, resource-limited settings
- MeSH terms
- Adult, Female, Humans, India, Interviews as Topic, Male, Middle Aged, Patient Acceptance of Health Care, Surveys and Questionnaires, Rural Population, Urban Population, HIV Infections, Reminder Systems, Cell Phone, Medication Adherence
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