Abstract
With the rapid adoption of mobile devices, mobile health (mHealth) offers the potential to transform health care delivery, especially in the world’s poorest regions. We systematically reviewed the literature to determine the impact of mHealth interventions on health care quality for non-communicable diseases in low- and middle-income countries and to identify knowledge gaps in this rapidly evolving field. Overall, we found few high-quality studies. Most studies narrowly focused on text messaging systems for patient behavior change, and few studies examined the health systems strengthening aspects of mHealth. There were limited literature reporting clinical effectiveness, costs, and patient acceptability, and none reporting equity and safety issues. Despite the bold promise of mHealth to improve health care, much remains unknown about whether and how this will be fulfilled. Encouragingly, we identified some registered clinical trial protocols of large-scale, multidimensional mHealth interventions, suggesting that the current limited evidence base will expand in coming years.
Similar content being viewed by others
Abbreviations
- NCD:
-
Non-communicable diseases
- LMIC:
-
Low- and middle-income countries
- CVD:
-
Cardiovascular disease
- UN:
-
United Nations
- WHO-PEN:
-
World Health Organization Package of Essential NCD interventions
- PHC:
-
Primary health care
- mHealth:
-
Mobile health
- EMBASE:
-
Excerpta Medica database
- CINAHL:
-
Cumulative Index to Nursing and Allied Health Literature
- LILACS:
-
Latin American and Caribbean Health Science Literature Database
- WHO:
-
World Health Organization
- RCT:
-
Randomized controlled trial
References
Lozano, R., Naghavi, M., Foreman, K., Lim, S., Shibuya, K., Aboyans, V., et al. (2012). Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study 2010. The Lancet, 380(9859), 2095–128.
World Health Organisation. (2013). Global action plan for the prevention and control of noncommunicable diseases 2013–2020. Geneva: WHO.
Kontis V, Mathers CD, Rehm J, Stevens GA, Shield KD, Bonita R, et al. (2014) Contribution of six risk factors to achieving the 25 × 25 non-communicable disease mortality reduction target: a modelling study. The Lancet
Pearce, N., Ebrahim, S., McKee, M., Lamptey, P., Barreto, M. L., Matheson, D., et al. (2014). The road to 25 × 25: how can the five-target strategy reach its goal? The Lancet Global Health, 2(3), e126–e28.
World Health Organisation. (2010). Package of essential noncommunicable (PEN) disease interventions for primary health care in low-resource settings. Geneva: WHO.
PricewaterhouseCoopers (PwC) (2012). Emerging mHealth: paths for growth PWC.
Labrique, A., Vasudevan, L., Chang, L. W., & Mehl, G. (2013). H_pe for mHealth: More “y” or “o” on the horizon? International Journal of Medical Informatics, 82(5), 467–69.
Mechael, P., Batavia, H., Kaonga, N., Searle, S., Kwan, A., Goldberger, A., et al. (2010). Barriers and gaps affecting mhealth in low and middle income countries: policy white paper: center for global health and economic development. Earth Institute: Columbia University.
World Health Organisation. (2011). mHealth: New horizons for health through mobile technologies. Geneva: Global Observatory for eHealth series.
Free, C., Phillips, G., Watson, L., Galli, L., Felix, L., Edwards, P., et al. (2013). The effectiveness of mobile-health technologies to improve health care service delivery processes: a systematic review and meta-analysis. PLoS Medicine, 10(1), e1001363.
Krishna, S. B. S., & Balas, E. A. (2009). Healthcare via cell phones: a systematic review. Telemedicine journal and e-health: the official journal of the American telemedicine association, 15(3), 231–40.
Nhavoto, A. J., & Grönlund, Å. (2014). Mobile technologies and geographic information systems to improve health care systems: a literature review. JMIR Mhealth Uhealth, 2(2), e21.
Aranda-Jan, C., Mohutsiwa-Dibe, N., & Loukanova, S. (2014). Systematic review on what works, what does not work and why of implementation of mobile health (mHealth) projects in Africa. BMC Public Health, 14(1), 188.
Braun, R., Catalani, C., Wimbush, J., & Israelski, D. (2013). Community health workers and mobile technology: a systematic review of the literature. PLoS One, 8(6), e65772.
Goel, S., Bhatnagar, N., Sharma, D., & Singh, A. (2013). Bridging the human resource gap in primary health care delivery systems of developing countries with mhealth: narrative literature review. JMIR Mhealth Uhealth, 1(2), e25.
Beratarrechea, A., Lee, A. G., Willner, J. M., Jahangir, E., & Ciapponi, A. A. R. (2014). The impact of mobile health interventions on chronic disease outcomes in developing countries: a systematic review. Telemedicine journal and e-health: the official journal of the American Telemedicine Association, 20(1), 75–82.
World Bank Group. (2014). Country and lending groups. Washington DC: World Bank.
Labrique A, Vasudevan L, Kochi E, Fabricant R, Mehld G (2013). mHealth innovations as health system strengthening tools:12 common applications and a visual framework. Global Health: Science and Practice.
World Health Organisation (2006). Quality of care: a process for making strategic choices in health systems. Geneva.
Ajay, V. S., & Prabhakaran, D. (2011). The scope of cell phones in diabetes management in developing country health care settings. Journal of Diabetes Science and Technology, 5(3), 778–83.
Ali, M. K., Shah, S., & Tandon, N. (2011). Review of electronic decision-support tools for diabetes care: a viable option for low- and middle-income countries? Journal of Diabetes Science and Technology, 5(3), 553–70.
Feder, J. L. (2010). Cell-phone medicine brings care to patients in developing nations. Health affairs Project Hope, 29(2), 259–63.
Goodarzi, M., Ebrahimzadeh, I., Rabi, A., Saedipoor, B., & Jafarabadi, M. A. (2012). Impact of distance education via mobile phone text messaging on knowledge, attitude, practice and self efficacy of patients with type 2 diabetes mellitus in Iran. Journal of Diabetes and Metabolic Disorders, 11(1), 1–8.
Piette, J. D., Mendoza-Avelares, M. O., Ganser, M., Mohamed, M., Marinec, N., & Krishnan, S. (2011). A preliminary study of a cloud-computing model for chronic illness self-care support in an underdeveloped country. American Journal of Preventive Medicine, 40(6), 629–32.
Shetty, A. S., Chamukuttan, S., Nanditha, A., Raj, R. K. C., & Ramachandran, A. (2011). Reinforcement of adherence to prescription recommendations in Asian Indian diabetes patients using short message service (SMS)—a pilot study. Journal of Association of Physicians of India, 59(11), 711–14.
Wong, C. K. H., Fung, C. S. C., Siu, S. C., Lo, Y. Y. C., Wong, K. W., Fong, D. Y. T., et al. (2013). A short message service (SMS) intervention to prevent diabetes in Chinese professional drivers with pre-diabetes: a pilot single-blinded randomized controlled trial. Diabetes Research and Clinical Practice, 102(3), 158–66.
Kulnawan, N. J. W., Suwanwalaikorn, S., Kittisopee, T., Meksawan, K., Thadpitakkul, N., & Mongkung, K. (2011). Development of diabetes telephone-linked care system for self-management support and acceptability test among type 2 diabetic patients. Journal of the Medical Association of Thailand, 94(10), 1189–97.
Agrawal A, Bhattacharya J, Baranwal N, Bhatla S, Dube S, Sardana V, et al. (2013). Integrating health care delivery and data collection in rural India using a rapidly deployable eHealth center. PLoS Medicine 2013;10(6).
Campos Neto CM, França FC, Nicolosi D, Moreira D, Akikubo R, Piegas LS, et al. (2007). Tele-ECG (tele-eletrocardiografia à distância via celular). Tele-ECG (tele-echocardiography by distance of cellular phone). pp 162–69.
Choi, B. G., Mukherjee, M., Dala, P., Young, H. A., Tracy, C. M., Katz, R. J., et al. (2011). Interpretation of remotely downloaded pocket-size cardiac ultrasound images on a web-enabled smartphone: validation against workstation evaluation. Journal of the American Society of Echocardiography, 24(12), 1325–30.
Eren, A., Subasi, A., & Coskun, O. (2008). A decision support system for telemedicine through the mobile telecommunications platform. Journal of Medical Systems, 32(1), 31–5.
Garcia, K. M., & Perese, S. (2012). Can a handheld handle vascular? Contemplation of the vascular system in miniature. Journal of the American Society of Echocardiography, 25(8), 18A.
Grancelli, H. O. (2007). Disease management programs in heart failure. Findings of the DIAL study. Revista Española de Cardiología, 60(Suppl 3), 15–22.
Kingue, S., Angandji, P., Menanga, A. P., Ashuntantang, G., Sobngwi, E., Dossou-Yovo, R. A., et al. (2013). Efficiency of an intervention package for arterial hypertension comprising telemanagement in a Cameroonian rural setting: the TELEMED-CAM study. The Pan African Medical Journal, 15, 153.
Yu, Y., Li, J., & Liu, J. (2013). M-HELP: a miniaturized total health examination system launched on a mobile phone platform. Telemedicine journal and e-health: the official journal of the American Telemedicine Association, 19(11), 857–65.
Lua, P. L., & Neni, W. S. (2013). A randomised controlled trial of an SMS-based mobile epilepsy education system. Journal of Telemedicine and Telecare, 19(1), 23–8.
Leong, K. C., Chen, W. S., Leong, K. W., Mastura, I., Mimi, O., Sheikh, M. A., et al. (2006). The use of text messaging to improve attendance in primary care: a randomized controlled trial. Family Practice, 23(6), 699–705.
Liew, S.-M., Tong, S. F., Mun Lee, V. K., Ng, C. J., Leong, K. C., & Teng, C. L. (2009). Text messaging reminders to reduce non-attendance in chronic disease follow-up: a clinical trial. British Journal of General Practice, 59(569), 916–20.
Khokhar, A. (2009). Short text messages (SMS) as a reminder system for making working women from Delhi breast aware. Asian Pacific journal of cancer prevention: APJCP, 10(2), 319–22.
Lua, P. L., & Neni, W. S. (2012). Feasibility and acceptability of mobile epilepsy educational system (MEES) for people with epilepsy in Malaysia. Telemedicine journal and e-health: the official journal of the American Telemedicine Association, 18(10), 777–84.
Hung SH, Tseng HC, Tsai WH, Lin HH, Cheng JH, Chang YM (2007). COPD—endurance training via mobile phone. AMIA … Annual Symposium proceedings/AMIA Symposium. AMIA Symposium:985.
Mohammadzadeh, N., Safdari, R., & Rahimi, A. (2013). Cancer care management through a mobile phone health approach: key considerations. Asian Pacific journal of cancer prevention: APJCP, 14(9), 4961–4.
US Department of Health and Human Services Food and Drug Administration (2013). Mobile medical applications: Guidance for Industry and Food and Drug Administration Staff: US Food and Drug Administration.
Praveen, D., Patel, A., McMahon, S., Prabhakaran, D., Clifford, G., Maulik, P., et al. (2013). A multifaceted strategy using mobile technology to assist rural primary healthcare doctors and frontline health workers in cardiovascular disease risk management: protocol for the SMARTHealth India cluster randomised controlled trial. Implementation Science, 8(1), 137.
Acknowledgments
DPe is supported by an Australian National Health and Medical Research Council Fellowship (ID 1054754). DPr is supported by a scholarship from the Australian Agency for International Development (AusAID).
Conflict of Interest
DPe has received research grant(s) number 1047508 and 1040147 from Australia’s National Health and Medical Research Council to develop and test m-health interventions in Australia and India. No human studies were carried out by the authors for this article. There was no funding obtained in the development and writing of this article.
Author information
Authors and Affiliations
Corresponding author
Additional information
Associate Editor Daniel P. Judge oversaw the review of this article
Electronic Supplementary Material
Below is the link to the electronic supplementary material.
Supplementary Tables S1
(PDF 24 kb)
Supplementary Tables S2
(PDF 15 kb)
Supplementary Tables S3
(PDF 5 kb)
Supplementary Tables S4
(PDF 15 kb)
Supplementary Tables S5
(PDF 8 kb)
Supplementary Tables S6
(PDF 4 kb)
Supplementary Tables S7
(PDF 4 kb)
Supplementary Tables S8
(PDF 43 kb)
Rights and permissions
About this article
Cite this article
Peiris, D., Praveen, D., Johnson, C. et al. Use of mHealth Systems and Tools for Non-Communicable Diseases in Low- and Middle-Income Countries: a Systematic Review. J. of Cardiovasc. Trans. Res. 7, 677–691 (2014). https://doi.org/10.1007/s12265-014-9581-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12265-014-9581-5