Approaches to Mobile Health Evaluation: A Comparative Study

References

• Adunlin, G., Diaby, V., & Xiao, H. (2015). Application of multicriteria decision analysis in health care: A systematic review and bibliometric analysis. Health Expectations: an International Journal of Public Participation in Health Care and Health Policy, 18(6), 1894–1905. doi:10.1111/hex.12287
   PubMed Web of Science ®Google Scholar
• Almirall, D., Compton, S. N., Gunlicks-Stoessel, M., Duan, N., & Murphy, S. A. (2012). Designing a pilot sequential multiple assignment randomised trial for developing an adaptive treatment strategy. Statistics in Medicine, 31(17), 1887–1902. doi:10.1002/sim.4512
   PubMed Web of Science ®Google Scholar
• Almirall, D., Nahum-Shani, I., Sherwood, N. E., & Murphy, S. A. (2014). Introduction to SMART designs for the development of adaptive interventions: With application to weight loss research. Translational Behavioral Medicine, 4(3), 260–274. doi:10.1007/s13142-014-0265-0
   PubMed Web of Science ®Google Scholar
• Baltussen, R., & Niessen, L. (2006). Priority setting of health interventions: The need for multi-criteria decision analysis. Cost Effectiveness and Resource Allocation, 4, 14. doi:10.1186/1478-7547-4-14
   PubMedGoogle Scholar
• Battle, J. D., Farrow, L., Tibaijuka, J., & Mitchell, M. (2015). mHealth for safer deliveries: A mixed methods evaluation of the effect of an integrated mobile health intervention on maternal care utilization. Healthc (Amst), 3(4), 180–184. doi:10.1016/j.hjdsi.2015.10.011
   PubMedGoogle Scholar
• Ben-Zeev, D., Scheuller, S. M., Begale, M., Duffecy, J., Kane, J. M., & Mohr, D. C. (2015). Strategies for mHealth research: Lessons from 3 mobile intervention studies. Administration and Policy in Mental Health and Mental Health Services Research, 42(2), 157–167. doi:10.1007/s10488-014-0556-2
   PubMed Web of Science ®Google Scholar
• Beyrer, C. (2014). Pushback: The current wave of anti-homosexuality laws and impacts on health. PLoS Medicine, 11(6), e1001658. doi:10.1371/journal.pmed.1001658
   PubMed Web of Science ®Google Scholar
• Blanford, J. I., Kumar, S., Luo, W., & MacEachren, A. M. (2012). It’s a long, long walk: Accessibility to hospitals, maternity and integrated health centers in Niger. International Journal of Health Geographics, 11(1), 24. doi:10.1186/1476-072X-11-24
   PubMedGoogle Scholar
• Boudreaux, E. D., Waring, M. E., Hayes, R. B., Sadasivam, R. S., Mullen, S., & Pagoto, S. (2014). Evaluating and selecting mobile health apps: Strategies for healthcare providers and healthcare organizations. Translational Behavioral Medicine, 4(4), 363–371. doi:10.1007/s13142-014-0293-9
   PubMed Web of Science ®Google Scholar
• Bourouis, A., Zerdazi, A., Feham, M., & Bouchachia, H. (2013). M-Health: Skin disease analysis system using smartphone’s camera. Procedia Computer Science, 19, 1116–1120. doi:10.1016/j.procs.2013.06.157
   Google Scholar
• Braun, R., Lasway, C., Agarwal, S., L’Engle, K., Layer, E., Silas, L., … Kudrati, M. (2016). An evaluation of a family planning mobile job aid for community health workers in Tanzania. Contraception, 94(1), 27–33. doi:10.1016/j.contraception.2016.03.016
   PubMed Web of Science ®Google Scholar
• Brown, M. T., & Bussell, J. K. (2011). Medication adherence: WHO cares? Mayo Clinic Proceedings, 86(4), 304–314. doi:10.4065/mcp.2010.0575
   PubMed Web of Science ®Google Scholar
• Brown, W., III, Yen, P.-Y., Rojas, M., & Schnall, R. (2013). Assessment of the health IT Usability evaluation model (Health-ITUEM) for evaluating mobile health (mHealth) technology. Journal of Biomedical Informatics, 46(6), 1080–1087. doi:10.1016/j.jbi.2013.08.001
   PubMed Web of Science ®Google Scholar
• Buman, M. P., Epstein, D. R., Gutierrez, M., Herb, C., Hollingshead, K., Huberty, J. L., … Hekler, A. C. (2015). BeWell24: Development and process evaluation of a smartphone “app” to improve sleep, sedentary, and active behaviors in US Veterans with increased metabolic risk. Translational Behavioral Medicine, 6(3), 438–448. doi:10.1007/s13142-015-0359-3
   Web of Science ®Google Scholar
• Burns, K., Keating, P., & Free, C. (2016). A systematic review of randomised control trials of sexual health interventions delivered by mobile technologies. BMC Public Health, 16(1), 778. doi:10.1186/s12889-016-3408-z
   PubMedGoogle Scholar
• Burns, M. N., Begale, M., Duffecy, J., Gergle, D., Karr, C. J., Giangrande, E., & Mohr, D. C. (2011). Harnessing context sensing to develop a mobile intervention for depression. Journal of Medical Internet Research, 13(3), e55. doi:10.2196/jmir.1838
   PubMed Web of Science ®Google Scholar
• Buscemi, J., Janke, E. A., Kugler, K. C., Duffecy, J., Mielenz, T. J., George, S. M. S., & Gorin, S. N. S. (2017). Increasing the public health impact of evidence-based interventions in behavioral medicine: New approaches and future directions. Journal of Behavioral Medicine, 40(1), 203–213. doi:10.1007/s10865-016-9773-3
   PubMed Web of Science ®Google Scholar
• Cafazzo, J. A., Casselman, M., Hamming, N., Katzman, D. K., & Palmert, M. R. (2012). Design of an mHealth app for the self-management of adolescent type 1 diabetes: A pilot study. Journal of Medical Internet Research, 14, 3. doi:10.2196/jmir.2058
   Web of Science ®Google Scholar
• Cameron, D., & Berkowitz, B. (2016). The state of gay rights around the world. Retrieved from https://www.washingtonpost.com/graphics/world/gay-rights/ Archived by WebCite® at http://www.webcitation.org/77zmUiYBq
   Google Scholar
• Catalani, C., Philbrick, W., Fraser, H., Mechael, P., & Israelski, D. M. (2013). mHealth for HIV treatment and prevention: A systematic review of the literature. The Open AIDS Journal, 7, 17–41. doi:10.2174/1874613620130812003
   PubMedGoogle Scholar
• Chang, L. W., Kagaayi, J., Arem, H., Nakigozi, G., Ssempijja, V., Serwadda, D., … Reynolds, S. J. (2011). Impact of a mHealth intervention for peer health workers on AIDS care in rural Uganda: A mixed methods evaluation of a cluster-randomized trial. AIDS and Behavior, 15(8), 1776. doi:10.1007/s10461-011-9995-x
   PubMed Web of Science ®Google Scholar
• Chib, A. (2018). Afterword: Reflections on a decade of mHealth Innovation in Asia. In E. Baulch, J. Watkins, & A. Tariq (Eds.), mHealth innovation in Asia: Grassroots challenges and practical interventions (pp. 123–131). Dordrecht, Netherlands: Springer Netherlands.
   Google Scholar
• Chib, A., van Velthoven, M. H., & Car, J. (2014). mHealth adoption in low-resource environments: A review of the use of mobile healthcare in developing countries. Journal of Health Communication, 20(1), 4–34. doi:10.1080/10810730.2013.864735
   PubMed Web of Science ®Google Scholar
• Choi, B., Pang, T., Lin, V., Puska, P., Sherman, G., Goddard, M., … Clottey, C. (2005). Can scientists and policy makers work together? Journal of Epidemiology and Community Health, 59(8), 632–637. doi:10.1136/jech.2004.031765
   PubMed Web of Science ®Google Scholar
• Clancy, C. M., Glied, S. A., & Lurie, N. (2012). From research to health policy impact. Health Services Research, 47(1pt2), 337–343. doi:10.1111/j.1475-6773.2011.01374.x
   Web of Science ®Google Scholar
• Clough, B. A., & Casey, L. M. (2015). Smart designs for smart technologies: Research challenges and emerging solutions for scientist-practitioners within e-mental health. Professional Psychology-Research and Practice, 46(6), 429–436. doi:10.1037/pro0000053
   Web of Science ®Google Scholar
• Cohen, J., Bancilhon, J. M., & Grace, T. (2018). Digitally connected living and quality of life: An analysis of the Gauteng City‐Region, South Africa. The Electronic Journal of Information Systems in Developing Countries, 84(1), e12010. doi:10.1002/isd2.12010
   Web of Science ®Google Scholar
• Colditz, G. A., Miller, J. N., & Mosteller, F. (1989). How study design affects outcomes in comparisons of therapy. I: Medical. Statistics in Medicine, 8, 441–454. doi:10.1002/(ISSN)1097-0258
   PubMed Web of Science ®Google Scholar
• Collins, L. M., Baker, T. B., Mermelstein, R. J., Piper, M. E., Jorenby, D. E., Smith, S. S., … Fiore, M. C. (2011a). The multiphase optimization strategy for engineering effective tobacco use interventions. Annals of Behavioral Medicine, 41(2), 208–226. doi:10.1007/s12160-010-9253-x
   PubMed Web of Science ®Google Scholar
• Collins, L. M., Murphy, S. A., Nair, V. N., & Strecher, V. J. (2005). A strategy for optimizing and evaluating behavioural interventions. Annals of Behavioural Medicine, 30(1), 65–73. doi:10.1207/s15324796abm3001_8
   PubMed Web of Science ®Google Scholar
• Collins, L. M., Murphy, S. A., & Strecher, V. (2007). The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART) new methods for more potent eHealth interventions. American Journal of Preventative Medicine, 32(5S), S112–S118. doi:10.1016/j.amepre.2007.01.022
   PubMedGoogle Scholar
• Collins, L. M., Nahum-Shani, I., & Almirall, D. (2011b). Optimization of behavioral dynamic treatment regimens based on sequential, multiple assignment, randomized trial (SMART). Clin Trials, 11(4), 426–434. doi:10.1177/1740774514536795
   Google Scholar
• Comstock, J. (2012). Is the RCT too slow for mobile health? Retrieved from http://www.mobihealthnews.com/19378/is-the-rct-too-slow-for-mobile-health Archived by WebCite® at http://www.webcitation.org/77zmJVQfJ
   Google Scholar
• Cooper, R. B., & Zmud, R. W. (1990). Information technology implementation research: A technological diffusion approach. Management Science, 36(2), 123–139. doi:10.1287/mnsc.36.2.123
   Web of Science ®Google Scholar
• Dahlberg, K., Jaensson, M., Eriksson, M., & Nilsson, U. (2016). Evaluation of the Swedish web-version of quality of recovery (SwQoR): Secondary step in the development of a mobile phone app to measure postoperative recovery. JMIR Research Protocols, 5(3). doi:10.2196/resprot.5881
   Google Scholar
• Davey, S., & Davey, A. (2014). Mobile-health technology: Can it strengthen and improve public health systems of other developing countries as per Indian strategies? A systematic review of the literature. International Journal of Medicine and Public Health, 4(1), 40–45. doi:10.4103/2230-8598.127121
   Google Scholar
• Davis, T. L., DiClemente, R., & Prietula, M. (2016). Taking mHealth forward: Examining the core characteristics. JMIR Mhealth Uhealth, 4(3), e97. doi:10.2196/mhealth.5659
   PubMed Web of Science ®Google Scholar
• Déglise, C., Suggs, S., & Odermatt, P. (2012). Short message service (SMS) Applications for disease prevention in developing countries. Journal of Medical Internet Research, 14(1), e3. doi:10.2196/jmir.1823
   PubMed Web of Science ®Google Scholar
• Devi, B. R., Syed-Abdul, S., Kumar, A., Iqbal, U., Nguyen, P.-A., Li, Y.-C., & Jian, W.-S. (2015). mHealth: An updated systematic review with a focus on HIV/AIDS and tuberculosis long term management using mobile phones. Computer Methods and Programs in Biomedicine, 122(2), 257–265. doi:10.1016/j.cmpb.2015.08.003
   PubMed Web of Science ®Google Scholar
• Drake, J. I., de Hart, J. C. T., Monleón, C., Toro, W., & Valentim, J. (2017). Utilization of multiple-criteria decision analysis (MCDA) to support healthcare decision-making FIFARMA, 2016. Journal of Market Access & Health Policy, 5(1), 1360545. doi:10.1080/20016689.2017.1360545
   PubMedGoogle Scholar
• Eysenbach, G. (2002). Issues in evaluating health websites in an Internet-based randomized controlled trial. Journal of Medical Internet Research, 4(3), e17. doi:10.2196/jmir.4.3.e17
   PubMed Web of Science ®Google Scholar
• Franz-Vasdeki, J., Pratt, B. A., Newsome, M., & Germann, S. (2015). Taking mHealth solutions to scale: Enabling environments and successful implementation. Journal of Mobile Technology in Medicine, 4(1), 35–38. doi:10.7309/jmtm.4.1.8
   Google Scholar
• Frethein, A., Witter, S., Lindahl, A., & Olsen, I. (2012). Performance-based financing in low- and middle-income countries: Still more questions than answers. Bulletin of the World Health Organization, 90(8), 559–559A. doi:10.2471/BLT.12.106468
   PubMed Web of Science ®Google Scholar
• Ha, Y. P., Tesfalul, M. A., Littman-Quinn, R., Antwi, C., Green, R. S., Mapila, T. O., … Ho-Foster, A. R. (2016). Evaluation of a mobile health approach to tuberculosis contact tracing in Botswana. Journal of Health Communication, 21(10), 1115–1121. doi:10.1080/10810730.2016.1222035
   PubMed Web of Science ®Google Scholar
• Hagopian, A., Rao, D., Katz, A., Sanford, S., & Barnhart, S. (2017). Anti-homosexual legislation and HIV-related stigma in African nations: What has been the role of PEPFAR? Global Health Action, 10(1), 1306391. doi:10.1080/16549716.2017.1306391
   PubMed Web of Science ®Google Scholar
• Hall, C. S., Fottrell, E., Wilkinson, S., & Byass, P. (2014). Assessing the impact of mHealth interventions in low- and middle-income countries - what has been shown to work? Global Health Action, 7. doi:10.3402/gha.v7.25606
   Web of Science ®Google Scholar
• Hamine, S., Gerth-Guyette, E., Faulx, D., Green, B. B., & Ginsburg, A. S. (2015). Impact of mHealth chronic disease management on treatment adherence and patient outcomes: A systematic review. Journal of Medical Internet Research, 17(2), e52. doi:10.2196/jmir.3951
   PubMedGoogle Scholar
• Hatt, L. E., Chatterji, M., Miles, L., Comfort, A. B., Bellows, B. W., & Okello, F. O. (2015). A false dichotomy: RCTs and Their Contributions To Evidence-Based Public Health. Global Health: Science and Practice, 3(1), 138–140. doi:10.9745/Ghsp-D-14-00245
   PubMed Web of Science ®Google Scholar
• Health Service Executive. (2017). ICP for prevention and management of chronic disease. Retrieved from https://www.hse.ie/eng/about/who/cspd/icp/chronic-disease/ Archived by WebCite® at http://www.webcitation.org/77zl8Mjus
   Google Scholar
• Heeks, R. (2002). Information systems and developing countries: Failure, success, and local improvisations. The Information Society, 18(2), 101–112. doi:10.1080/01972240290075039
   Web of Science ®Google Scholar
• Herron, J. (2016). Bad apps: MHealth apps doubling as medical devices. Journal of Electronic Resources in Medical Libraries, 13(4), 177–181. doi:10.1080/15424065.2016.1256800
   Google Scholar
• Hertzum, M., Bansler, J. P., Havn, E., & Simonsen, J. (2012). Pilot implementation: Learning from field tests in IS development. Communications of the Association for Information Systems, 30(1), 313–328. doi:10.17705/1CAIS.03020
   Google Scholar
• Ho, K., Newton, L., Boothe, A., & Novak-Lauscher, H. (2015). mobile digital access to a web-enhanced Network (mDAWN): Assessing the feasibility of mobile health tools for self-management of type-2 diabetes. Paper presented at the AMIA Annual Symposium Proceedings, San Francisco. PMID:26958197
   Google Scholar
• Holmen, H., Torbjornsen, A., Wahl, A. K., Jenum, A. K., Smastuem, M. C., Arsand, E., & Ribu, L. (2014). A mobile health intervention for self-management and lifestyle change for persons with type 2 diabetes, part 2: One-year results from the Norwegian randomized controlled trial renewing health. JMIR mHealth and uHealth, 2(4), e57. doi:10.2196/mhealth.3882
   PubMed Web of Science ®Google Scholar
• IMS Institute for Healthcare Informatics. (2015). Patient adoption of mHealth. Retrieved from https://www.iqvia.com/-/media/iqvia/pdfs/institute-reports/patient-adoption-of-mhealth.pdf?la=en&hash=B3ACFA8ADDB143F29EAC0C33D533BC5D7AABD689
   Google Scholar
• Iribarren, S. J., Cato, K., Falzon, L., & Stone, P. W. (2017). What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions. PloS One, 12(2). doi:10.1371/journal.pone.0170581
   Web of Science ®Google Scholar
• Istepanian, R. S. H., & Woodward, B. (2017). mHealth fundamentals and application. Hoboken, New Jersey: John Wiley & Sons, Inc.
   Google Scholar
• Jamison, J. C., Karlan, D., & Raffler, P. (2013). Mixed method evaluation of a passive mHealth sexual information texting service in Uganda. Retrieved from https://www.nber.org/papers/w19107.pdf
   Google Scholar
• Kaplan, B. (2001). Evaluating informatics applications - some alternative approaches: Theory, social interactionism, and call for methodological pluralism. International Journal of Medical Informatics, 64(1), 39–56. doi:10.1016/S1386-5056(01)00184-8
   PubMed Web of Science ®Google Scholar
• Kendall, J. M. (2003). Designing a research project: Randomised controlled trials and their principles. Emergency Medicine Journal, 20(2), 164–168. doi:10.1136/emj.20.2.164
   PubMed Web of Science ®Google Scholar
• Khan, R., & Socha-Dietrich, K. (2018). Investing in medication adherence improves health outcomes and health system efficiency: Adherence to medicines for diabetes, hypertension, and hyperlipidaemia. OECD Health Working Papers, 105. doi:10.1787/18152015
   Google Scholar
• Kowal, J., & Paliwoda-Pękosz, G. (2017). ICT for global competitiveness and economic growth in emerging economies: Economic, cultural, and social innovations for human capital in transition economies. Information Systems Management, 34(4), 304–307. doi:10.1080/10580530.2017.1366215
   Web of Science ®Google Scholar
• Kugler, K. C., Balantekin, K. N., Birch, L. L., & Savage, J. S. (2016). Application of the multiphase optimization strategy to a pilot study: An empirical example targeting obesity among children of low-income mothers. BMC Public Health, 16(1181). doi:10.1186/s12889-016-3850-y
   PubMedGoogle Scholar
• Kumar, S., Nilsen, W. J., Abernethy, A., Atienza, A., Patrick, K., Pavel, M., … Swendeman, D. (2013). Mobile health technology evaluation: The mHealth evidence workshop. American Journal of Preventive Medicine, 45(2), 228–236. doi:10.1016/j.amepre.2013.03.017
   PubMed Web of Science ®Google Scholar
• 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), 467–469. doi:10.1016/j.ijmedinf.2012.11.016
   PubMed Web of Science ®Google Scholar
• Lancet, T. (2017). Does mobile health matter? The Lancet, 390(10109), 2216. doi:10.1016/S0140-6736(17)32899-4
   Web of Science ®Google Scholar
• Lemay, N. V., Sullivan, T., Jumbe, B., & Perry, C. P. (2012). Reaching remote health workers in Malawi: Baseline assessment of a pilot mHealth intervention. Journal of Health Communication, 17(sup1), 105–117. doi:10.1080/10810730.2011.649106
   PubMed Web of Science ®Google Scholar
• Leon, N., Schneider, H., & Daviaud, E. (2012). Applying a framework for assessing the health system challenges to scaling up mHealth in South Africa. BMC Medical Informatics and Decision Making, 12, 123. doi:10.1186/1472-6947-12-123
   PubMed Web of Science ®Google Scholar
• Lim, J., Cloete, G., Dunsmuir, D. T., Payne, B. A., Scheffer, C., von Dadelszen, P., … Ansermino, J. M. (2015). Usability and feasibility of PIERS on the Move: An mHealth app for pre-eclampsia triage. JMIR mHealth and uHealth, 3(2). doi:10.2196/mhealth.3942
   Web of Science ®Google Scholar
• Madon, S. (2000). The Internet and socio-economic development: Exploring the interaction. Information Technology & People, 13(2), 85–101. doi:10.1108/09593840010339835
   Google Scholar
• Mahmud, N., Rodriguez, J., & Nesbit, J. (2010). A text message-based intervention to bridge the healthcare communication gap in the rural developing world. Technology and Health Care, 18(2), 137–144. doi:10.3233/THC-2010-0576
   PubMed Web of Science ®Google Scholar
• Malvey, D. M., & Slovensky, D. J. (2017). Global mHealth policy arena: Status check and future directions. Mhealth, 3, 41. doi:10.21037/mhealth.2017.09.03
   PubMedGoogle Scholar
• Matthews, J., Kulkarni, R., Whitesides, G., Sarrafzadeh, M., Gerla, M., & Massey, T. (2009). A light-weight solution for real-time dengue detection using mobile phones. Paper presented at the Proceedings of the International Conference on Mobile Computing, Applications, and Services, MobiCase. San Diego, CA, USA.
   Google Scholar
• McClure, J. B., Anderson, M. L., Bradley, K., An, L. C., & Catz, S. L. (2016). Evaluating an adaptive and interactive mHealth smoking cessation and medication adherence program: A randomized pilot feasibility study. JMIR Mhealth Uhealth, 4(3), e94. doi:10.2196/mhealth.6002
   PubMed Web of Science ®Google Scholar
• McFarlan, F. W., & McKenney, J. L. (1982). The information archipelago-gaps and bridges. Harvard Business Review, 60(5), 109–119.
   Web of Science ®Google Scholar
• Mechael, P., Batavia, H., Kaonga, N., Searle, S., Kwan, A., Goldberger, A., … Ossman, J. (2010). Barriers and gaps affecting mHealth in low and middle income countries: Policy white paper. Columbia, NY, USA. Retrieved from http://www.globalproblems-globalsolutions-files.org/pdfs/mHealth_Barriers_White_Paper.pdf
   Google Scholar
• Mohr, D. C., Cheung, K., Schueller, S. M., Brown, C. H., & Duan, N. (2013). Continuous evaluation of evolving behavioural intervention technologies. American Journal of Preventative Medicine, 45(4), 517–523. doi:10.1016/j.amepre.2013.06.006
   PubMed Web of Science ®Google Scholar
• Mohr, D. C., Montague, E., Stiles-Shields, C., Kaiser, S. M., Brenner, C., Carty-Fickes, E., … Duffecy, J. (2015). MedLink: A mobile intervention to address failure points in the treatment of depression in general medicine. Paper presented at the Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare. Istanbul, Turkey.  PMID:26640740
   Google Scholar
• Mohr, D. C., Schueller, S. M., Riley, W. T., Brown, C. H., Cuijpers, P., Duan, N., … Cheung, K. (2015). Trials of intervention principles: Evaluation methods for evolving behavioral intervention technologies. Journal of Medical Internet Research, 17(7), e166. doi:10.2196/jmir.4391
   PubMed Web of Science ®Google Scholar
• Moodie, E. E. M., Karran, J. C., & Shortreed, S. M. (2016). A case study of SMART attributes: A qualitative assessment of generalizability, retention rate, and trial quality. Trials, 17(1), 242. doi:10.1186/s13063-016-1368-3
   PubMedGoogle Scholar
• Mummah, S. A., Robinson, T. N., King, A. C., Gardner, C. D., & Sutton, S. (2016). IDEAS (Integrate, Design, Assess, and Share): A framework and toolkit of strategies for the development of more effective digital interventions to change health behavior. Journal of Medical Internet Research, 18(12), e317. doi:10.2196/jmir.5927
   PubMed Web of Science ®Google Scholar
• Naslund, J. A., Marsch, L. A., McHugo, G. J., & Bartels, S. J. (2015). Emerging mHealth and eHealth interventions for serious mental illness: A review of the literature. Journal of Mental Health (Abingdon, England), 24(5), 321–332. doi:10.3109/09638237.2015.1019054
   PubMed Web of Science ®Google Scholar
• Neupane, S., Odendaal, W., Friedman, I., Jassat, W., Schneider, H., & Doherty, T. (2014). Comparing a paper based monitoring and evaluation system to a mHealth system to support the national community health worker programme, South Africa: An evaluation. BMC Medical Informatics and Decision Making, 14(1), 69. doi:10.1186/1472-6947-14-69
   PubMedGoogle Scholar
• Nilsen, E., Kumar, S., Shar, A., Varoquiers, C., Wiley, T., Riley, W., … Atienza, A. (2012). Advancing the science of mHealth. Journal of Health Communication, 17(Suppl 1), 5–10. doi:10.1080/10810730.2012.677394
   PubMed Web of Science ®Google Scholar
• Njoroge, M., Zurovac, D., Ogara, E. A. A., Chuma, J., & Kirigia, D. (2017). Assessing the feasibility of eHealth and mHealth: A systematic review and analysis of initiatives implemented in Kenya. BMC Research Notes, 10(1), 90. doi:10.1186/s13104-017-2416-0
   PubMedGoogle Scholar
• Opoku, D., Scott, P., & Quentin, W. (2015). Healthcare professionals’ perceptions of the benefits and challenges of a teleconsultation service in the amansie-west district of Ghana. Telemedicine and e-Health, 21(9), 748–755. doi:10.1089/tmj.2014.0210
   PubMed Web of Science ®Google Scholar
• Pagoto, S., & Bennett, G. G. (2013). How behavioural science can advance digital health. Translational Behavioural Medicine, 3(3), 271–276. doi:10.1007/s13142-013-0234-z
   PubMed Web of Science ®Google Scholar
• Peiris, D., Praveen, D., Johnson, C., & Mogulluru, K. (2014). Use of mHealth systems and tools for non-communicable diseases in low- and middle-income countries: A systematic review. Journal of Cardiovascular Translational Research, 7(8), 677–691. doi:10.1007/s12265-014-9581-5
   PubMed Web of Science ®Google Scholar
• Pham, Q., Khatib, Y., Stansfeld, S., Fox, S., & Green, T. (2016a). Feasibility and efficacy of an mHealth game for managing anxiety:“Flowy” randomized controlled pilot trial and design evaluation. Games for Health Journal, 5(1), 50–67. doi:10.1089/g4h.2015.0033
   PubMed Web of Science ®Google Scholar
• Pham, Q., Wiljer, D., & Cafazzo, J. A. (2016b). Beyond the randomized controlled trial: A review of alternatives in mHealth clinical trial methods. JMIR mHealth and uHealth, 4(3), e107. doi:10.2196/mhealth.5720
   PubMed Web of Science ®Google Scholar
• Pierce, J. L., & Delbecq, A. L. (1977). Organization structure, individual attitudes and innovation. Academy of Management Review, 2(1), 27–37. doi:10.2307/257602
   Google Scholar
• Rahman, M. (2015). Experts of the future: 4 Areas of emerging litigation. Retrieved from https://www.theexpertinstitute.com/experts-future-4-areas-emerging-litigation/ Archived by WebCite® at http://www.webcitation.org/77zls8yi5
   Google Scholar
• Roback, K., Dalal, K., & Carlsson, P. (2011). Evaluation of health research: measuring costs and socioeconomic effects. International Journal of Preventative Medicine, 2(4), 203–215. PMID:22174959.
   PubMedGoogle Scholar
• Rosen, L., Manor, O., Engelhard, D., & Zucker, D. (2006). In defense of the randomized controlled trial for health promotion research. American Journal of Public Health, 96(7), 1181–1186. doi:10.2105/AJPH.2004.061713
   PubMed Web of Science ®Google Scholar
• Rutledge, C. M., Kott, K., Schweickert, P. A., Poston, R., Fowler, C., & Haney, T. S. (2017). Telehealth and eHealth in nurse practitioner training: Current perspectives. Advances in Medical Education and Practice, 8, 399. doi:10.2147/AMEP.S116071
   PubMed Web of Science ®Google Scholar
• Shankar, R., Prasad, S., Ankur, B., Talwar, A., & Jain, N. (2013). Socio-economic impact of mHealth. An assessment report for the European Union. Retrieved from https://www.gsma.com/iot/wp-content/uploads/2013/06/Socio-economic_impact-of-mHealth_EU_14062013V2.pdf
   Google Scholar
• Shieshia, M., Noel, M., Andersson, S., Felling, B., Alva, S., Agarwal, S., … Nsona, H. (2014). Strengthening community health supply chain performance through an integrated approach: Using mHealth technology and multilevel teams in Malawi. Journal of Global Health, 4(2), 117–128. doi:10.7189/jogh.04.020406
   Web of Science ®Google Scholar
• Shuchman, M. (2014). The promise and pitfalls of global mHealth. Canadian Medical Association Journal, 186(15), 1134–1135. doi:10.1503/cmaj.109-4861
   Web of Science ®Google Scholar
• Sibbald, B., & Roland, M. (1998). Understanding controlled trials: Why are randomised controlled trials important? BMJ, 316(7126), 201. doi:10.1136/bmj.316.7126.201
   PubMed Web of Science ®Google Scholar
• Song, J. H., Kim, I. K., & Yi, B.-K. (2013). Preliminary comparison of mHealth architectures based on MU2 criteria. Studies in Health Technology and Informatics, 192, 1127. doi:10.3233/978-1-61499-289-9-1127
   PubMedGoogle Scholar
• Steinhubl, S. R., Muse, E. D., & Topol, E. J. (2015). The emerging field of mobile health. Science Translational Medicine, 7(283), 283rv283. doi:10.1126/scitranslmed.aaa3487
   Web of Science ®Google Scholar
• Stephani, V., Opoku, D., & Quentin, W. (2016). A systematic review of randomized controlled trials of mHealth interventions against non-communicable diseases in developing countries. BMC Public Health, 16(572), 572. doi:10.1186/s12889-016-3226-3
   PubMedGoogle Scholar
• Stoyanov, S. R., Hides, L., Kavanagh, D. J., & Wilson, H. (2016). Development and validation of the user version of the mobile application rating scale (uMARS). JMIR mHealth and uHealth, 4(2), e72. doi:10.2196/mhealth.5849
   PubMed Web of Science ®Google Scholar
• Stroux, L. (2012). Evidence for mHealth. Retrieved from https://www.gsma.com/iot/wp-content/uploads/2012/08/Stroux_CDT_Market_Research_Project_2012_v2.pdf
   Google Scholar
• Tariq, A., & Akter, S. (2011). An assessment of m-Health in developing countries using task technology fit model. Proceedings of the 17th American Conference of Information Systems. Detroit, Michigan, USA.
   Google Scholar
• Taylor, N. P. (2017). FDA proposes freeing apps, software from burden of medical device definition. Retrieved from https://www.fiercebiotech.com/medtech/fda-proposes-freeing-apps-software-from-burden-medical-device-definition Archived by WebCite® at http://www.webcitation.org/77zkvH5Jl
   Google Scholar
• Thokala, P., Devlin, N., Marsh, K., Baltussen, R., Boysen, M., Kalo, Z., … Ijzerman, M. (2016). Multiple criteria decision analysis for health care decision making—An introduction: Report 1 of the ISPOR MCDA emerging good practices task force. Value in Health, 19(1), 1–13. doi:10.1016/j.jval.2015.12.003
   PubMed Web of Science ®Google Scholar
• Thompson, V. A. (1969). Bureaucracy and Innovation. Alabama: University of Alabama Press University.
   Google Scholar
• US Food and Drug Adminstration. (2017). Statement on advancing new digital health policies to encourage innovation, bring efficiency and modernization to regulation. Retrieved from https://www.prnewswire.com/news-releases/statement-from-fda-commissioner-scott-gottlieb-md-on-advancing-new-digital-health-policies-to-encourage-innovation-bring-efficiency-and-modernization-to-regulation-300568421.html Archived by WebCite® at http://www.webcitation.org/77zlPXcry
   Google Scholar
• van Velthoven, M. H., Car, J., Zhang, Y., & Marušić, A. (2013). mHealth series: New ideas for mHealth data collection implementation in low- and middle-income countries. Journal of Global Health, 3(2), 020101. doi:10.7189/jogh.03.020101
   PubMed Web of Science ®Google Scholar
• Vu, L. T. H., Nguyen, N. T. K., Tran, H. T. D., & Muhajarine, N. (2016). mHealth information for migrants: An e-health intervention for internal migrants in Vietnam. Reproductive Health, 13(1), 55. doi:10.1186/s12978-016-0172-6
   PubMedGoogle Scholar
• White, B. K., Burns, S. K., Giglia, R. C., & Scott, J. A. (2017). Designing evaluation plans for health promotion mHealth interventions: A case study of the Milk Man mobile app. Health Promotion Journal of Australia, 27(3), 198–203. doi:10.1071/HE16041
   Web of Science ®Google Scholar
• Whittaker, R., Merry, S., Dorey, E., & Maddison, R. (2012). A development and evaluation process for mHealth interventions: Examples from New Zealand. Journal of Health Communication, 17(sup1), 11–21. doi:10.1080/10810730.2011.649103
   PubMed Web of Science ®Google Scholar
• World Health Organisation. (2012). Performance-based financing in low- and middle-income countries: Still more questions than answers. Retrieved from http://www.who.int/bulletin/volumes/90/8/12-106468/en/
   Google Scholar
• World Health Organization. (2011). mHealth New horizons for health through mobile technologies. Geneva, Switzerland Retrieved from http://www.who.int/goe/publications/goe_mhealth_web.pdf
   Google Scholar
• World Health Organization. (2017). Aligning public financial management and health financing: A process guide for identifying issues and fostering dialogue (9241513071). Retrieved from Geneva http://apps.who.int/iris/bitstream/handle/10665/254680/9789241512039-eng.pdf?sequence=1
   Google Scholar
• Wyrick, D. L., Rulison, K. L., Fearnow-Kenney, M., Milroy, J. J., & Collins, L. M. (2014). Moving beyond the treatment package approach to developing behavioral interventions: Addressing questions that arose during an application of the multiphase optimization strategy (MOST). Translational Behavioral Medicine, 4(3), 252–259. doi:10.1007/s13142-013-0247-7
   PubMed Web of Science ®Google Scholar