Scoping review and evaluation of SMS/text messaging platforms for mHealth projects or clinical interventions

OBJECTIVES Mobile technology supporting text messaging interventions (TMIs) continues to evolve, presenting challenges for researchers and healthcare professionals who need to choose software solutions to best meet their program needs. The objective of this review was to systematically identify and compare text messaging platforms and to summarize their advantages and disadvantages as described in peer-reviewed literature. METHODS A scoping review was conducted using four steps: 1) identify currently available platforms through online searches and in mHealth repositories; 2) expand evaluation criteria of an mHealth mobile messaging toolkit and integrate prior user experiences as researchers; 3) evaluate each platform's functions and features based on the expanded criteria and a vendor survey; and 4) assess the documentation of platform use in the peer-review literature. Platforms meeting inclusion criteria were assessed independently by three reviewers and discussed until consensus was reached. The PRISMA guidelines were followed to report findings. RESULTS Of the 1041 potentially relevant search results, 27 platforms met inclusion criteria. Most were excluded because they were not platforms (e.g., guides, toolkits, reports, or SMS gateways). Of the 27 platforms, only 12 were identified in existing mHealth repositories, 10 from Google searches, while five were found in both. The expanded evaluation criteria included 22 items. Results indicate no uniform presentation of platform features and functions, often making these difficult to discern. Fourteen of the platforms were reported as open source, 10 focused on health care and 16 were tailored to meet needs of low resource settings (not mutually exclusive). Fifteen platforms had do-it-yourself setup (programming not required) while the remainder required coding/programming skills or setups could be built to specification by the vendor. Frequently described features included data security and access to the platform via cloud-based systems. Pay structures and reported targeted end-users varied. Peer-reviewed publications listed only 6 of the 27 platforms across 21 publications. The majority of these articles reported the name of the platform used but did not describe advantages or disadvantages. CONCLUSIONS Searching for and comparing mHealth platforms for TMIs remains a challenge. The results of this review can serve as a resource for researchers and healthcare professionals wanting to integrate TMIs into health interventions. Steps to identify, compare and assess advantages and disadvantages are outlined for consideration. Expanded evaluation criteria can be used by future researchers. Continued and more comprehensive platform tools should be integrated into mHealth repositories. Detailed descriptions of platform advantages and disadvantages are needed when mHealth researchers publish findings to expand the body of research on TMI tools for healthcare. Standardized descriptions and features are recommended for vendor sites.

[1]  P. Schulz,et al.  Mapping mHealth Research: A Decade of Evolution , 2013, Journal of medical Internet research.

[2]  Emeka Chukwu,et al.  Assessment of the Quality of Antenatal Care Services Provided by Health Workers Using a Mobile Phone Decision Support Application in Northern Nigeria: A Pre/Post-Intervention Study , 2015, PloS one.

[3]  BrownWilliamIII,et al.  Successfully Addressing Challenges to Implementing a Multinational SMS-based Reminder and Data Collection System in a Biomedical HIV Prevention Trial , 2014 .

[4]  Rebecca Armstrong,et al.  Cochrane Update. 'Scoping the scope' of a cochrane review. , 2011, Journal of public health.

[5]  M. Woodward,et al.  Mobile Telephone Text Messaging for Medication Adherence in Chronic Disease: A Meta-analysis. , 2016, JAMA internal medicine.

[6]  Samantha Stonbraker,et al.  Tools to measure health literacy among Spanish speakers: An integrative review of the literature. , 2015, Patient education and counseling.

[7]  Leo A. Celi,et al.  S2DIA: A Diagnostic System for Diabetes mellitus using SANA platform , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[8]  Amanda K. Hall,et al.  Mobile text messaging for health: a systematic review of reviews. , 2015, Annual review of public health.

[9]  Vijayaprasad Gopichandran,et al.  Continuum of Care Services for Maternal and Child Health using mobile technology – a health system strengthening strategy in low and middle income countries , 2016, BMC Medical Informatics and Decision Making.

[10]  A. Rodrigues,et al.  MHealth to Improve Measles Immunization in Guinea-Bissau: Study Protocol for a Randomized Controlled Trial , 2016, JMIR research protocols.

[11]  Rebecca Schnall,et al.  Using Text Messaging to Assess Adolescents' Health Information Needs: An Ecological Momentary Assessment , 2013, Journal of medical Internet research.

[12]  D. Moher,et al.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement , 2009, BMJ.

[13]  Bernd Blobel,et al.  A Mobile ECG System for the Evaluation of Cardiovascular Risk , 2016, MIE.

[14]  Lawrence Mbuagbaw,et al.  Mobile phone text messaging interventions for HIV and other chronic diseases: an overview of systematic reviews and framework for evidence transfer , 2015, BMC Health Services Research.

[15]  Suzanne Bakken,et al.  Cartographic Analysis of Antennas and Towers: A Novel Approach to Improving the Implementation and Data Transmission of mHealth Tools on Mobile Networks , 2015, JMIR mHealth and uHealth.

[16]  Joris van Dam,et al.  An open-access mobile compatible electronic patient register for rheumatic heart disease (‘eRegister’) based on the World Heart Federation’s framework for patient registers , 2015, Cardiovascular journal of Africa.

[17]  R Brian Haynes,et al.  Mobile Text Messaging and Adherence of Patients to Medication Prescriptions: A txt a dA keeps da doctR awA? , 2016, JAMA internal medicine.

[18]  Margarete Sandelowski,et al.  What's in a name? Qualitative description revisited. , 2010, Research in nursing & health.

[19]  Rebecca Kanter,et al.  A Novel Mobile Phone Application to Assess Nutrition Environment Measures in Low- and Middle-Income Countries , 2014, Food and nutrition bulletin.

[20]  Jon Bird,et al.  Electronic data capture in a rural African setting: evaluating experiences with different systems in Malawi , 2014, Global health action.

[21]  Anne Liu,et al.  Introduction of Mobile Health Tools to Support Ebola Surveillance and Contact Tracing in Guinea , 2015, Global Health: Science and Practice.

[22]  Flavie Goutard,et al.  Use of a Text Message-Based Pharmacovigilance Tool in Cambodia: Pilot Study , 2013, Journal of medical Internet research.

[23]  Diego M López,et al.  A mobile system for the collection of clinical data and EEG signals by using the sana platform. , 2014, Studies in health technology and informatics.

[24]  A D Harries,et al.  Decentralisation of tuberculosis services in an urban setting, Lilongwe, Malawi. , 2003, The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease.

[25]  Jeremy Wacksman,et al.  M-Health for Improving Screening Accuracy of Acute Malnutrition in a Community-Based Management of Acute Malnutrition Program in Mumbai Informal Settlements , 2016, Food and nutrition bulletin.

[26]  Patricia F Pearce,et al.  Qualitative Evaluation of a Text Messaging Intervention to Support Patients With Active Tuberculosis: Implementation Considerations , 2015, JMIR mHealth and uHealth.

[27]  Augusto López,et al.  Daily zero-reporting for suspect Ebola using short message service (SMS) in Guinea-Bissau. , 2016, Public health.

[28]  A. Binagwaho,et al.  Designing and Implementing an Innovative SMS-based alert system (RapidSMS-MCH) to monitor pregnancy and reduce maternal and child deaths in Rwanda , 2012, The Pan African medical journal.

[29]  Bruce MacLeod,et al.  The Architecture of a Software System for Supporting Community-based Primary Health Care with Mobile Technology: The Mobile Technology for Community Health (MoTeCH) Initiative in Ghana , 2012, Online journal of public health informatics.

[30]  Sumaira Nazir,et al.  A randomized controlled behavioral intervention trial to improve medication adherence in adult stroke patients with prescription tailored Short Messaging Service (SMS)-SMS4Stroke study , 2015, BMC Neurology.

[31]  Blair T. Johnson,et al.  Text Message Intervention Designs to Promote Adherence to Antiretroviral Therapy (ART): A Meta-Analysis of Randomized Controlled Trials , 2014, PloS one.

[32]  Indrajit Chaudhuri,et al.  Adoption and Usage of mHealth Technology on Quality and Experience of Care Provided by Frontline Workers: Observations From Rural India , 2015, JMIR mHealth and uHealth.

[33]  Garrett Mehl,et al.  mHealth innovations as health system strengthening tools: 12 common applications and a visual framework , 2013, Global Health: Science and Practice.

[34]  Sisira Edirippulige,et al.  Evaluating the use of mobile phone technology to enhance cardiovascular disease screening by community health workers , 2014, Int. J. Medical Informatics.