Background: Mobile phone usage has been rapidly increasing worldwide. mHealth could efficiently deliver high-quality health care, but the evidence supporting its current effectiveness is still mixed. Objective: We performed a systematic review of systematic reviews to assess the impact or effectiveness of mobile health (mHealth) interventions in different health conditions and in the processes of health care service delivery. Methods: We used a common search strategy of five major scientific databases, restricting the search by publication date, language, and parameters in methodology and content. Methodological quality was evaluated using the Measurement Tool to Assess Systematic Reviews (AMSTAR) checklist. Results: The searches resulted in a total of 10,689 articles. Of these, 23 systematic reviews (371 studies; more than 79,665 patients) were included. Seventeen reviews included studies performed in low- and middle-income countries. The studies used diverse mHealth interventions, most frequently text messaging (short message service, SMS) applied to different purposes (reminder, alert, education, motivation, prevention). Ten reviews were rated as low quality (AMSTAR score 0-4), seven were rated as moderate quality (AMSTAR score 5-8), and six were categorized as high quality (AMSTAR score 9-11). A beneficial impact of mHealth was observed in chronic disease management, showing improvement in symptoms and peak flow variability in asthma patients, reducing hospitalizations and improving forced expiratory volume in 1 second; improving chronic pulmonary diseases symptoms; improving heart failure symptoms, reducing deaths and hospitalization; improving glycemic control in diabetes patients; improving blood pressure in hypertensive patients; and reducing weight in overweight and obese patients. Studies also showed a positive impact of SMS reminders in improving attendance rates, with a similar impact to phone call reminders at reduced cost, and improved adherence to tuberculosis and human immunodeficiency virus therapy in some scenarios, with evidence of decrease of viral load. Conclusions: Although mHealth is growing in popularity, the evidence for efficacy is still limited. In general, the methodological quality of the studies included in the systematic reviews is low. For some fields, its impact is not evident, the results are mixed, or no long-term studies exist. Exceptions include the moderate quality evidence of improvement in asthma patients, attendance rates, and increased smoking abstinence rates. Most studies were performed in high-income countries, implying that mHealth is still at an early stage of development in low-income countries. [JMIR Mhealth Uhealth 2018;6(1):e23]

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The Impact of mHealth Interventions: Systematic Review of Systematic Reviews.

The acknowledged potential of using mobile phones for improving healthcare in low-resource environments of developing countries has yet to translate into significant mHealth policy investment. The low uptake of mHealth in policy agendas may stem from a lack of evidence of the scalable, sustainable impact on health indicators. The mHealth literature in low- and middle-income countries reveals a burgeoning body of knowledge; yet, existing reviews suggest that the projects yield mixed results. This article adopts a stage-based approach to understand the varied contributions to mHealth research. The heuristic of inputs-mechanism-outputs is proposed as a tool to categorize mHealth studies. This review (63 articles comprising 53 studies) reveals that mHealth studies in developing countries tend to concentrate on specific stages, principally on pilot projects that adopt a deterministic approach to technological inputs (n = 32), namely introduction and implementation. Somewhat less studied were research designs that demonstrate evidence of outputs (n = 15), such as improvements in healthcare processes and public health indicators. The review finds a lack of emphasis on studies that provide theoretical understanding (n = 6) of adoption and appropriation of technological introduction that produces measurable health outcomes. As a result, there is a lack of dominant theory, or measures of outputs relevant to making policy decisions. Future work needs to aim for establishing theoretical and measurement standards, particularly from social scientific perspectives, in collaboration with researchers from the domains of information technology and public health. Priorities should be set for investments and guidance in evaluation disseminated by the scientific community to practitioners and policymakers.

https://dr.ntu.edu.sg/bitstream/10356/102310/2/mHealth%20Adoption%20in%20Low-Resource%20Environments%20A%20Review%20of%20the%20Use%20of%20Mobile%20Healthcare%20in%20Developing%20Countries.pdf

mHealth Adoption in Low-Resource Environments: A Review of the Use of Mobile Healthcare in Developing Countries

Past, Present, and Future of eHealth and mHealth Research to Improve Physical Activity and Dietary Behaviors

eHealth, mHealth and “Web 20” social media strategies can effectively reach and engage key populations in HIV prevention across the testing, treatment, and care continuum To assess how these tools are currently being used within the field of HIV prevention and care, we systematically reviewed recent (2013–2014) published literature, conference abstracts, and funded research Our searches identified 23 published intervention studies and 32 funded projects underway In this synthesis we describe the technology modes applied and the stages of the HIV care cascade addressed, including both primary and secondary prevention activities Overall trends include use of new tools including social networking sites, provision of real-time assessment and feedback, gamification and virtual reality While there has been increasing attention to use of technology to address the care continuum, gaps remain around linkage to care, retention in care, and initiation of antiretroviral therapy

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A Systematic Review of Recent Smartphone, Internet and Web 2.0 Interventions to Address the HIV Continuum of Care

Factors influencing the adoption of mHealth services in a developing country: A patient-centric study

Mobile health (mHealth) technologies and telecommunication have rapidly been integrated into the health care delivery system, particularly in developing countries. Resources have been allocated to developing mHealth interventions, including those that use mobile technology for behavior change communication (BCC). Although the majority of mobile phone users worldwide live in the developing world, most research evaluating BCC mHealth interventions has taken place in developed countries. The purpose of this study was to conduct a systematic review of the literature to determine how much evidence currently exists for mHealth BCC interventions. In addition to analyzing available research for methodological rigor and strength of evidence, the authors assessed interventions for quality, applying a set of 9 standards recommended by mHealth experts. The authors reviewed 44 articles; 16 (36%) reported evaluation data from BCC mHealth interventions in a developing country. The majority of BCC mHealth interventions were implemented in Africa (n = 10) and Asia (n = 4). HIV/AIDS (n = 10) and family planning/pregnancy (n = 4) were the health topics most frequently addressed by interventions. Studies did not consistently demonstrate significant effects of exposure to BCC mHealth interventions on the intended audience. The majority of publications (n = 12) described interventions that used two-way communication in their message delivery design. Although most publications described interventions that conducted formative research about the intended audience (n = 10), less than half (n = 6) described targeting or tailoring the content. Although mHealth is viewed as a promising tool with the ability to foster behavior change, more evaluations of current interventions need to be conducted to establish stronger evidence.

Sara E. Rubin

Papers

Effectiveness of mHealth Behavior Change Communication Interventions in Developing Countries: A Systematic Review of the Literature