Cited by 110Mobile Health and mHealth ApplicationsHIV/AIDS Research and InterventionsMobile Learning in Education

mHealth: An updated systematic review with a focus on HIV/AIDS and tuberculosis long term management using mobile phones

Devi, Balla Rama, Syed-Abdul, Shabbir, Kumar, Arun, Iqbal, Usman, Nguyen, Phung-Anh, Li, Yu-Chuan (Jack), Jian, Wen-Shan·2015·Computer Methods and Programs in Biomedicine

Abstract

Objective To evaluate the utilization of mobile phone technology for treatment adherence, prevention, education, data collection, monitoring long-term management of HIV/AIDS and TB patients.Methods Articles published in English language from January 2005 until now from PubMed/MEDLINE, EMBASE, Web of Science, WHO databases, and clinical trials were included. Data extraction is based on medication adherence, quality of care, prevention, education, motivation for HIV test, data collection from HIV lab test results and patient monitoring. Articles selected for the analysis cover RCTs and non RCTs related to the use of mobile phones for long-term care and treatment of HIV/AIDS and TB patients.Results Out of 90 articles selected for the analysis, a large number of studies, 44 (49%) were conducted in developing countries, 24 (26%) studies from developed countries, 12 (13%) are systematic reviews and 10 (11%) did not mention study location. Forty seven (52.2%) articles focused on treatment, 11 (12.2%) on quality of care, 8 (9%) on prevention, 13 (14.4%) on education, 6 (6.6%) on data collection, and 5 (5.5%) on patient monitoring. Overall, 66 (73%) articles reported positive effects, 21 (23%) were neutral and 3 (4%) reported negative results.Conclusions Mobile phone technology is widely reported to be an effective tool for HIV/AIDS and TB long-term care. It can substantially reduce disease burden on health care systems by rendering more efficient prevention, treatment, education, data collection and management support.

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Crossref · 10.1016/j.cmpb.2015.08.003

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  • SMS text messaging is a simple and effective intervention for improving health service delivery in pregnant women, infectious disease cases, weight loss cases, and diabetes cases, and increasingly for smoking cessation support.

    “Short message service (SMS) text messaging, in particular, has been shown to be a simple and effective intervention for improving health service delivery in pregnant women [9,10], infectious disease cases [11,12], weight loss cases [13], and diabetes cases [14] and increasingly for smoking cessation support [15-18].”

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Authors
Devi, B. R., Syed-Abdul, S., Kumar, A., Iqbal, U., Nguyen, P.-A., Li, Y.-C. (., & Jian, W.-S.
Affiliations
  • Taipei Medical University (TW)
  • Wan Fang Hospital (TW)
  • Macau University of Science and Technology (MO)
Corresponding author
Jian, Wen-Shan
Venue
Computer Methods and Programs in Biomedicine
Publisher
Elsevier BV
Published
2015-11
Volume
122
Issue
2
Pages
257-265
ISSN
0169-2607 (ISSN-L)
OpenAlex
W1946475843
Cited by
110
References
99
Citations by year
2025: 2 · 2024: 8 · 2023: 8 · 2022: 8 · 2021: 17 · 2020: 14 · 2019: 11 · 2018: 20 · 2017: 5 · 2016: 17
FWCI
2.51
Type
journal article
Language
en
Open access
closed
Locations
  • Computer Methods and Programs in Biomedicine (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Taipei Medical University Hospital (101-TMU-TMUH-03)
  • Ministry of Health and Welfare (MOHW103-TDB-111-01)
  • Ministry of Education (TMUTOP103006-6)
  • National Science Council (NSC 99-2511-S-038-005-MY3)
  • Taipei Medical University (101TMU-SHH-21, 99TMU-WFH-10, TMU102-AE1-B31)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
  • Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
Keywords
mobile health, mobile devices, HIV/AIDS, tuberculosis, medication adherence, patient education, disease prevention, patient monitoring, health data collection, quality of care
MeSH terms
Humans, Patient Compliance, Therapy, Computer-Assisted, Tuberculosis, HIV Infections, Prevalence, Telemedicine, Cell Phone, Mobile Applications

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