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Madhvani N, Longinetti E, Santacatterina M, et al. Correlates of mobile phone use in HIV care: Results from a cross-sectional study in South Africa. Prev Med Rep. 2015;2:512-6doi: 10.1016/j.pmedr.2015.06.010.
Madhvani, N., Longinetti, E., Santacatterina, M., Forsberg, B. C., & El-Khatib, Z. (2015). Correlates of mobile phone use in HIV care: Results from a cross-sectional study in South Africa. Preventive medicine reports, 2512-6. https://doi.org/10.1016/j.pmedr.2015.06.010
Madhvani, Naieya, et al. "Correlates of mobile phone use in HIV care: Results from a cross-sectional study in South Africa." Preventive medicine reports vol. 2 (2015): 512-6. doi: https://doi.org/10.1016/j.pmedr.2015.06.010
Madhvani N, Longinetti E, Santacatterina M, Forsberg BC, El-Khatib Z. Correlates of mobile phone use in HIV care: Results from a cross-sectional study in South Africa. Prev Med Rep. 2015 Jun 14;2:512-6. doi: 10.1016/j.pmedr.2015.06.010. eCollection 2015. PMID: 26844111; PMCID: PMC4721279.
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Prev Med Rep. 2015 Jun 14;2:512-6. doi: 10.1016/j.pmedr.2015.06.010. eCollection 2015.

Correlates of mobile phone use in HIV care: Results from a cross-sectional study in South Africa.

Preventive medicine reports

Naieya Madhvani, Elisa Longinetti, Michele Santacatterina, Birger C Forsberg, Ziad El-Khatib

Affiliations

  1. Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.
  2. Unit of Biostatistics, Institute of Environmental Medicine (IMM), Karolinska Institutet, Stockholm, Sweden.
  3. Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology and Community Medicine, University of Ottawa, Canada; Global Health, Universite du Québec en Abitibi-Témiscamingue (UQAT), Québec, Canada.

PMID: 26844111 PMCID: PMC4721279 DOI: 10.1016/j.pmedr.2015.06.010

Abstract

OBJECTIVE: Human Immunodeficiency Virus (HIV) is a major disease burden worldwide. Challenges include retaining patients in care and optimizing adherence to Antiretroviral Therapy (ART). One possible solution is using mobile phones as reminder tools. The main aim of our study was to identify patient demographic groups least likely to use mobile phones as reminder tools in HIV care.

DESIGN: The data came from a cross-sectional study at the Chris Hani Baragwanath Hospital, Soweto Township, South Africa.

METHODS: A comprehensive questionnaire was used to interview 883 HIV infected patients receiving ART. Logistic regression analysis was performed to identify the influence of age, gender, education level, marital status, number of sexual partners in the last three months, income level, and employment status on the use of mobile phone as reminders for clinic appointments and taking medication.

RESULTS: Patient groups significantly associated with being less likely to use mobile phones as clinic appointment reminders were: a) patients 45 years or older, b) women, and c) patients with only primary or no schooling level. Patient groups significantly associated with being less likely to use mobile phones as medication reminders were: a) patients 35 years or older and b) patients with a lower monthly income.

CONCLUSIONS: In this setting being a woman, of older age, lower education, and socio-economic level were risk factors for the low usage of mobile phones as reminder aids. Future studies should assimilate reasons for this, such that patient-specific barriers to implementation are identified and interventions can be tailored.

Keywords: HIV; Patient compliance; Reminder systems; South Africa; Telemedicine

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