Healthcare via Cell Phones: A Systematic Review
Abstract
Regular care and informational support are helpful in improving disease-related health outcomes. Communication technologies can help in providing such care and support. The purpose of this study was to evaluate the empirical evidence related to the role of cell phones and text messaging interventions in improving health outcomes and processes of care. Scientific literature was searched to identify controlled studies evaluating cell phone voice and text message interventions to provide care and disease management support. Searches identified 25 studies that evaluated cell phone voice and text messaging interventions, with 20 randomized controlled trials and 5 controlled studies. Nineteen studies assessed outcomes of care and six assessed processes of care. Selected studies included 38,060 participants with 10,374 adults and 27,686 children. They covered 12 clinical areas and took place in 13 countries. Frequency of message delivery ranged from 5 times per day for diabetes and smoking cessation support to once a week for advice on how to overcome barriers and maintain regular physical activity. Significant improvements were noted in compliance with medicine taking, asthma symptoms, HbA1C, stress levels, smoking quit rates, and self-efficacy. Process improvements were reported in lower failed appointments, quicker diagnosis and treatment, and improved teaching and training. Cost per text message was provided by two studies. The findings that enhancing standard care with reminders, disease monitoring and management, and education through cell phone voice and short message service can help improve health outcomes and care processes have implications for both patients and providers.
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The mobile technologies that teens use daily, namely cell phones, instant messaging, and text messaging, have already produced multiple improvements in their health care, such as increased medication adherence, better disease understanding, and fewer missed appointments.
“The mobile technologies that teens use daily, namely cell phones, instant messaging, and text messaging, have already produced multiple improvements in their health care, such as increased medication adherence, better disease understanding, and fewer missed appointments. 14”
From The Impact of Social Media on Children, Adolescents, and Families (2011) · cites this paper as [14]
Mobile phone communication is less expensive than landline telephones or standard Internet.
“Communication by mobile phone is less expensive than alternative options such as landline telephones or standard Internet (1, 7).”
From Text messaging as a tool for behavior change in disease prevention and management (2010) · cites this paper as [7]
In high-income countries, interventions have included test results or instructions to adjust medication.
“In high-income countries, interventions have included these aspects of care.18 22 23”
From mHealth text and voice communication for monitoring people with chronic diseases in low-resource settings: a realist review (2018) · cites this paper as [22]
Three systematic reviews found reminders for disease monitoring improve healthcare processes, but with education through voice call and text messages, both health outcomes and care processes improve.
“Three systematic reviews found reminders for disease monitoring improve healthcare processes but with education through voice call and text messages, both health outcomes and care processes improve.18 22 23”
From mHealth text and voice communication for monitoring people with chronic diseases in low-resource settings: a realist review (2018) · cites this paper as [22]
Nineteen reviews included both type 1 and 2 diabetes in their analyses, or included RCTs that did not differentiate.
“In total, 19 reviews included both type 1 and 2 diabetes in their analyses, or included RCTs that did not differentiate [16,22,25,27,28,31,32,34-40,44,45,47,50,51].”
Three 1-star narrative syntheses suggested improved outcomes with mobile phone interventions.
“Three 1-star narrative syntheses suggested improved outcomes with mobile phone interventions [32,35,36], but others showed no overall benefit from teleconsultations [47,51] or telemonitoring [34,39].”
Eight reviews assessed the impact on asthma control through symptom scores, quality of life, or unscheduled health care.
“A total of 8 reviews assessed the impact on asthma control through symptom scores, quality of life, or unscheduled health care [20,24,27,28,36,61-63].”
Three 1-star reviews, all with narrative syntheses, concluded that further evaluation was needed before conclusions could be reached.
“Three 1-star reviews, all with narrative syntheses, concluded that further evaluation was needed before conclusions could be reached [28,36,61], while 1 other, focused on mobile interventions in developing countries, found evidence for improved symptom scores in a single RCT [20].”
Supported education and information interventions were particularly effective in the context of diabetes, with 9 larger systematic reviews showing evidence of improvement in HbA1c.
“Supported education and information interventions were particularly effective in the context of diabetes, with 9 larger systematic reviews showing evidence of improvement in HbA1c [27,30,35-37,40,44-46].”
Monitoring and feedback was associated with improved clinical outcomes in diabetes and heart failure.
“This was the most commonly described telehealth component in the included systematic reviews and was associated with improved clinical outcomes in diabetes and heart failure [33,35,36,38,42,44,54,58]; however, findings for asthma and COPD were mostly neutral or inconsistent [61-63,65,66,68,69].”
Text messaging can produce effective behavior change results across diverse youth populations using relatively short behavioral interventions.
“Collectively, such research has demonstrated that text messaging can produce effective behavior change results across diverse youth populations using relatively short behavioral based interventions (Fjeldsoe, Marshall, & Miller, 2009; Krishna, Boren, & Balas, 2009).”
From Substance use recovery outcomes among a cohort of youth participating in a mobile-based texting aftercare pilot program (2014) · cites this paper as Krishna, Boren, & Balas, 2009
Cites
Rodgers, A., Corbett, T., Bramley, D., Riddell, T., Wills, M., Lin, R.-B., & Jones, M. (2005) · Tobacco Control · doi:10.1136/tc.2005.011577 · Cited by 732 · see citing works
Comparing internet and mobile phone usage: digital divides of usage, adoption, and dropouts
Rice, R. E., & Katz, J. E. (2003) · Telecommunications Policy · doi:10.1016/s0308-5961(03)00068-5 · Cited by 593 · see citing works
Franklin, V. L., Waller, A., Pagliari, C., & Greene, S. A. (2006) · Diabetic Medicine · doi:10.1111/j.1464-5491.2006.01989.x · Cited by 543 · see citing works
Hurling, R., Catt, M., De Boni, M., Fairley, B. W., Hurst, T., Murray, P., Richardson, A., & Sodhi, J. S. (2007) · Journal of Medical Internet Research · doi:10.2196/jmir.9.2.e7 · Cited by 536 · see citing works
(2006) · Globalization and Health · doi:10.1186/1744-8603-2-9 · Cited by 467 · see citing works
Piette, J. D., Weinberger, M., McPhee, S. J., Mah, C. A., Kraemer, F. B., & Crapo, L. M. (2000) · The American Journal of Medicine · doi:10.1016/s0002-9343(99)00298-3 · Cited by 293 · see citing works
Happy Ending: a randomized controlled trial of a digital multi‐media smoking cessation intervention
Brendryen, H., & Kraft, P. (2008) · Addiction · doi:10.1111/j.1360-0443.2007.02119.x · Cited by 292 · see citing works
Chen, Z.-W., Fang, L.-Z., Chen, L.-Y., & Dai, H.-L. (2008) · Journal of Zhejiang University SCIENCE B · doi:10.1631/jzus.b071464 · Cited by 231 · see citing works
Use of SMS text messaging to improve outpatient attendance
Downer, S. R., Meara, J. G., & Costa, A. C. D. (2005) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.2005.tb07085.x · Cited by 231 · see citing works
A short message service by cellular phone in type 2 diabetic patients for 12 months
Yoon, K.-H., & Kim, H.-S. (2008) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2007.09.007 · Cited by 196 · see citing works
SMS text messaging improves outpatient attendance
Downer, S. R., Meara, J. G., Costa, A. C. D., & Sethuraman, K. (2006) · Australian Health Review · doi:10.1071/ah060389 · Cited by 189 · see citing works
Improving Asthma Control Through Telemedicine: A Study of Short-Message Service
Ostojic, V., Cvoriscec, B., Ostojic, S. B., Reznikoff, D., Stipic-Markovic, A., & Tudjman, Z. (2005) · Telemedicine and e-Health · doi:10.1089/tmj.2005.11.28 · Cited by 183 · see citing works
A nurse short message service by cellular phone in type‐2 diabetic patients for six months
Kim, H., & Jeong, H. (2007) · Journal of Clinical Nursing · doi:10.1111/j.1365-2702.2007.01698.x · Cited by 180 · see citing works
Effectiveness of mobile and internet intervention in patients with obese type 2 diabetes
Kim, S.-I., & Kim, H.-S. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2007.07.006 · Cited by 180 · see citing works
A randomized trial of a proactive cellular telephone intervention for smokers living with HIV/AIDS
Vidrine, D. J., Arduino, R. C., Lazev, A. B., & Gritz, E. R. (2006) · AIDS · doi:10.1097/01.aids.0000198094.23691.58 · Cited by 171 · see citing works
Zhou-wen, Chen, Li-zheng, Fang, LiYing, L., Honglei, & Dai (2008) · Journal of Zhejiang University SCIENCE B · Cited by 164 · see citing works
Smoking cessation using mobile phone text messaging is as effective in Maori as non-Maori.
Bramley, D. M., Riddell, T., Whittaker, R., Corbett, T., Lin, R., Wills, M., Jones, M., & Rodgers, A. (2005) · PubMed · Cited by 157 · see citing works
The role of mobile phones in improving vaccination rates in travelers
Vilella, A., Bayas, J. M., Diaz, M.-T., Guinovart, C., Diez, C., Simó, D., Muñoz, A., & Cerezo, J. (2004) · Preventive Medicine · doi:10.1016/j.ypmed.2003.12.005 · Cited by 148 · see citing works
Telemedical support to improve glycemic control in adolescents with type 1 diabetes mellitus
Rami, B., Popow, C., Horn, W., Waldhoer, T., & Schober, E. (2006) · European Journal of Pediatrics · doi:10.1007/s00431-006-0156-6 · Cited by 136 · see citing works
Kim, H.-S. (2007) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2006.01.011 · Cited by 130 · see citing works
Albright, C. L., Pruitt, L., Castro, C., Gonzalez, A., Woo, S., & King, A. C. (2005) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm3003_3 · Cited by 130 · see citing works
Koivusilta, L. K., Lintonen, T., & Rimpelä, A. (2006) · Scandinavian Journal of Public Health · doi:10.1080/14034940600868721 · Cited by 129 · see citing works
Mobile eHealth Interventions for Obesity: A Timely Opportunity to Leverage Convergence Trends
Tufano, J. T., & Karras, B. T. (2005) · Journal of Medical Internet Research · doi:10.2196/jmir.7.5.e58 · Cited by 123 · see citing works
Andrade, A. S., McGruder, H. F., Wu, A. W., Celano, S. A., Skolasky, R. L., Selnes, O. A., Huang, I., & McArthur, J. C. (2005) · Clinical Infectious Diseases · doi:10.1086/432877 · Cited by 121 · see citing works
Benhamou, P.-Y., Melki, V., Boizel, R., Perreal, F., Quesada, J.-L., Bessieres-Lacombe, S., Bosson, J.-L., Halimi, S., & Hanaire, H. (2007) · Diabetes & Metabolism · doi:10.1016/j.diabet.2007.01.002 · Cited by 118 · see citing works
Márquez Contreras, E., de la Figuera von Wichmann, M., Gil Guillén, V., Ylla-Catalá, A., Figueras, M., Balaña, M., & Naval, J. (2004) · Atención Primaria · doi:10.1016/s0212-6567(04)78922-2 · Cited by 115 · see citing works
Texting decreases the time to treatment for genital Chlamydia trachomatis infection
Menon-Johansson, A. S. (2006) · Sexually Transmitted Infections · doi:10.1136/sti.2004.014381 · Cited by 108 · see citing works
Failed appointments in an orthodontic clinic
Bos, A., Hoogstraten, J., & Prahl-Andersen, B. (2005) · American Journal of Orthodontics and Dentofacial Orthopedics · doi:10.1016/j.ajodo.2004.11.014 · Cited by 82 · see citing works
Pinnock, H., Slack, R., Pagliari, C., Price, D. B., & Sheikh, A. (2006) · Primary Care Respiratory Journal · doi:10.1016/j.pcrj.2006.03.001 · Cited by 74 · see citing works
Patient Acceptance of Educational Voice Messages: A Review of Controlled Clinical Studies
Boren, S. A., Maglaveras, N., Krishna, S., & Balas, E. A. (2002) · Methods of Information in Medicine · doi:10.1055/s-0038-1634453 · Cited by 63 · see citing works
Self-citationPatients will be reminded of appointments by text messages
Dyer, O. (2003) · BMJ · doi:10.1136/bmj.326.7402.1281-a · Cited by 63 · see citing works
Technological intervention for obese patients with type 2 diabetes
Kim, H.-S., & Song, M.-S. (2008) · Applied Nursing Research · doi:10.1016/j.apnr.2007.01.007 · Cited by 59 · see citing works
The Emerging Role of Cell Phone Technology in Ambulatory Care
Boland, P. (2007) · Journal of Ambulatory Care Management · doi:10.1097/01.jac.0000264602.19629.84 · Cited by 53 · see citing works
Rural parents, teenagers and alcohol: What are parents thinking?
Graham, M., Ward, B., Munro, G. D., Snow, P. C., & Ellis, J. M. (2006) · Rural and Remote Health · doi:10.22605/rrh383 · Cited by 45 · see citing works
Cellular telephone use among primary school children in Germany
B�hler, E., & Sch�z, J. (2004) · European Journal of Epidemiology · doi:10.1007/s10654-004-2174-x · Cited by 43 · see citing works
Consumo de los medios de comunicación en la adolescencia
Sanz, A. B., Figuero, C. R., Alonso, R. P., del Río, Z. G., Herrero, M. H., & González, N. (2005) · Anales de Pediatría · doi:10.1016/s1695-4033(05)70252-6 · Cited by 40 · see citing works
Asthma patients are willing to use mobile and web technologies to support self‐management
Fonseca, J., Costa‐Pereira, A., Delgado, L., Fernandes, L. P. N. S., & Castel-Branco, M. G. (2006) · Allergy · doi:10.1111/j.1398-9995.2006.01016.x · Cited by 35 · see citing works
Tasker, A. P., Gibson, L., Franklin, V. L., Gregor, P., & Greene, S. A. (2007) · Pediatric Diabetes · doi:10.1111/j.1399-5448.2006.00220.x · Cited by 33 · see citing works
R U OK 2 TXT 4 RESEARCH?--feasibility of text message communication in primary care research.
Haller, D. M., Sanci, L. A., Sawyer, S. M., Coffey, C., & Patton, G. C. (2006) · PubMed · Cited by 31 · see citing works
Stress management using UMTS cellular phones: a controlled trial.
Riva, G., Preziosa, A., Grassi, A., & Villani, D. (2006) · PubMed · Cited by 29 · see citing works
The doctor will text you now: is there a role for the mobile telephone in health care?
Pal, B. (2003) · BMJ · doi:10.1136/bmj.326.7389.607 · Cited by 27 · see citing works
Observations on Online Services for Diabetes Management
Liu, C., Yeh, Y.-T., Lee, T.-I., & Li, Y. (2005) · Diabetes Care · doi:10.2337/diacare.28.11.2807a · Cited by 18 · see citing works
Communicating textual health information to the mobile phones of visually-impaired users
Kummervold, P. E., & Holthe, H. (2008) · Journal of Telemedicine and Telecare · doi:10.1258/jtt.2008.070818 · Cited by 6 · see citing works
Telecommunications access--matching available technologies to people with physical disabilities.
Nguyen, T., Garrett, R., Downing, A., Walker, L., & Hobbs, D. (2006) · PubMed · Cited by 3 · see citing works
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The Impact of Social Media on Children, Adolescents, and Families
O'Keeffe, G. S., Clarke-Pearson, K., & Council on Communications and Media (2011) · Pediatrics · doi:10.1542/peds.2011-0054 · Cited by 1,987 · see citing works
Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001362 · Cited by 1,766 · see citing works
Lester, R. T., Ritvo, P., Mills, E. J., Kariri, A., Karanja, S., Chung, M. H., Jack, W., Habyarimana, J., Sadatsafavi, M., Najafzadeh, M., et al. (2010) · The Lancet · doi:10.1016/s0140-6736(10)61997-6 · Cited by 1,278 · see citing works
The impact of mHealth interventions: systematic review of systematic reviews
Marcolino, M. S., Oliveira, J. A. Q., D'Agostino, M., Ribeiro, A. L., Alkmim, M. B. M., & Novillo-Ortiz, D. (2018) · JMIR mHealth and uHealth · doi:10.2196/mhealth.8873 · Cited by 1,163 · see citing works
Text messaging as a tool for behavior change in disease prevention and management
Cole-Lewis, H., & Kershaw, T. (2010) · Epidemiologic Reviews · doi:10.1093/epirev/mxq004 · Cited by 1,190 · see citing works
“This evidence is consistent with existing literature suggesting that mobile phones are a useful tool for interventions seeking improvement in health outcomes (15, 18, 22).”
Free, C., Phillips, G., Watson, L., Galli, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001363 · Cited by 1,187 · see citing works
A Systematic Review of Healthcare Applications for Smartphones
Mosa, A. S. M., Yoo, I., & Sheets, L. (2012) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-12-67 · Cited by 1,184 · see citing works
Objective user engagement with mental health apps: systematic search and panel-based usage analysis
Baumel, A., Muench, F., Edan, S., & Kane, J. M. (2019) · Journal of Medical Internet Research · doi:10.2196/14567 · Cited by 965 · see citing works
Health behavior models in the age of mobile interventions: are our theories up to the task?
Riley, W. T., Rivera, D. E., Atienza, A. A., Nilsen, W., Allison, S. M., & Mermelstein, R. (2011) · Translational Behavioral Medicine · doi:10.1007/s13142-011-0021-7 · Cited by 978 · see citing works
Mobile Health Technology Evaluation
Kumar, S., Nilsen, W. J., Abernethy, A., Atienza, A., Patrick, K., Pavel, M., Riley, W. T., Shar, A., Spring, B., Spruijt-Metz, D., et al. (2013) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2013.03.017 · Cited by 900 · see citing works
Scaling Up mHealth: Where Is the Evidence?
Tomlinson, M., Rotheram-Borus, M. J., Swartz, L., & Tsai, A. C. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001382 · Cited by 673 · see citing works
Mobile phone messaging for facilitating self-management of long-term illnesses
de Jongh, T., Gurol-Urganci, I., Vodopivec-Jamsek, V., Car, J., & Atun, R. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007459.pub2 · Cited by 599 · see citing works
Getting to the Top of Mind: How Reminders Increase Saving
Karlan, D., McConnell, M. A., Stephen, S., Welch, K., & Kuzmova, V. (2016) · AEA Randomized Controlled Trials · doi:10.1257/rct.1350-1.0 · Cited by 628 · see citing works
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Miller, G. F. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612441215 · Cited by 618 · see citing works
Mapping mHealth research: a decade of evolution
Fiordelli, M., Diviani, N., & Schulz, P. J. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2430 · Cited by 570 · see citing works
Mobile phone messaging reminders for attendance at healthcare appointments
Gurol‐Urganci, I., de Jongh, T. E., Vodopivec‐Jamšek, V., Atun, R. A., & Car, J. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007458.pub3 · Cited by 599 · see citing works
Free, C., Phillips, G., Felix, L., Galli, L., Patel, V., & Edwards, P. (2010) · BMC Research Notes · doi:10.1186/1756-0500-3-250 · Cited by 539 · see citing works
“Current documented M-health interventions and programmes include: mobile phone text messaging to support management of diabetes, hypertension, asthma, eating disorders and HIV treatment [3-7]; mobile phone text messaging and PDAs as aids to smoking cessation, body weight loss, reducing alcohol consumption, sexually tr…”
Hanlon, P., Daines, L., Campbell, C., McKinstry, B., Weller, D., & Pinnock, H. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6688 · Cited by 499 · see citing works
“Supported education and information interventions were particularly effective in the context of diabetes, with 9 larger systematic reviews showing evidence of improvement in HbA1c [27,30,35-37,40,44-46].”
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Roig, J. B., Gilson, N. D., Puig-Ribera, A. M., Contreras-Espinosa, R. S., & Trost, S. G. (2014) · Sports Medicine · doi:10.1007/s40279-014-0142-5 · Cited by 554 · see citing works
Hunter, D. J., & Reddy, K. S. (2013) · New England Journal of Medicine · doi:10.1056/nejmra1109345 · Cited by 522 · see citing works
Liang, X., Wang, Q., Yang, X., Cao, J., Chen, J., Mo, X., Huang, J., Wang, L., & Gu, D. (2011) · Diabetic Medicine · doi:10.1111/j.1464-5491.2010.03180.x · Cited by 515 · see citing works
Increasing Physical Activity With Mobile Devices: A Meta-Analysis
Fanning, J., Mullen, S. P., & McAuley, E. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2171 · Cited by 457 · see citing works
Beratarrechea, A., Lee, A. G., Willner, J. M., Jahangir, E., Ciapponi, A., & Rubinstein, A. (2014) · Telemedicine and e-Health · doi:10.1089/tmj.2012.0328 · Cited by 403 · see citing works
Zurovac, D., Sudoi, R. K., Akhwale, W. S., Ndiritu, M., Hamer, D. H., Rowe, A. K., & Snow, R. W. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60783-6 · Cited by 403 · see citing works
‘Mobile’ Health Needs And Opportunities In Developing Countries
Kahn, J. G., Yang, J. S., & Kahn, J. S. (2010) · Health Affairs · doi:10.1377/hlthaff.2009.0965 · Cited by 408 · see citing works
Building on the momentum: Sustaining telehealth beyond COVID-19
Thomas, E. E., Haydon, H. M., Mehrotra, A., Caffery, L. J., Snoswell, C. L., Banbury, A., & Smith, A. C. (2020) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x20960638 · Cited by 416 · see citing works
Chib, A., van Velthoven, M. H., & Car, J. (2015) · Journal of Health Communication · doi:10.1080/10810730.2013.864735 · Cited by 384 · see citing works
Effectiveness of mHealth interventions for patients with diabetes: An overview of systematic reviews
Kitsiou, S., Paré, G., Jaana, M., & Gerber, B. S. (2017) · PLoS ONE · doi:10.1371/journal.pone.0173160 · Cited by 390 · see citing works
Current and Future Trends in Internet-Supported Mental Health Interventions
Barak, A., & Grohol, J. M. (2011) · Journal of Technology in Human Services · doi:10.1080/15228835.2011.616939 · Cited by 373 · see citing works
Kirwan, M., Vandelanotte, C., Fenning, A., & Duncan, M. J. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2588 · Cited by 343 · see citing works
Smartphone applications for pain management
Rosser, B. A., & Eccleston, C. (2011) · Journal of Telemedicine and Telecare · doi:10.1258/jtt.2011.101102 · Cited by 364 · see citing works
Bender, J. L., Yue, R. Y. K., To, M. J., Deacken, L., & Jadad, A. R. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2661 · Cited by 346 · see citing works
Diabetes Management via Mobile Phones: A Systematic Review
Holtz, B., & Lauckner, C. (2012) · Telemedicine and e-Health · doi:10.1089/tmj.2011.0119 · Cited by 318 · see citing works
Use of Mobile Phone Text Message Reminders in Health Care Services: A Narrative Literature Review
Kannisto, K. A., Koivunen, M. H., & Välimäki, M. A. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3442 · Cited by 302 · see citing works
Petrie, K. J., Perry, K., Broadbent, E., & Weinman, J. (2012) · British Journal of Health Psychology · doi:10.1111/j.2044-8287.2011.02033.x · Cited by 330 · see citing works
Guy, R., Hocking, J. S., Wand, H. C., Stott, S., Ali, H., & Kaldor, J. M. (2011) · Health Services Research · doi:10.1111/j.1475-6773.2011.01342.x · Cited by 332 · see citing works
Mobile phone messaging for preventive health care
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A re-conceptualization of access for 21st century healthcare
Fortney, J. C., Burgess, J. F., Bosworth, H. B., Booth, B. M., & Kaboli, P. J. (2011) · Journal of General Internal Medicine · doi:10.1007/s11606-011-1806-6 · Cited by 311 · see citing works
Bonoto, B. C., de Araújo, V. E., Godói, I. P., de Lemos, L. L. P., Godman, B., Bennie, M., Diniz, L. M., & Junior, A. A. G. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.6309 · Cited by 294 · see citing works
Ryan, R. E., Santesso, N., Lowe, D., Hill, S., Grimshaw, J. M., Prictor, M., Kaufman, C., Cowie, G., & Taylor, M. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007768.pub3 · Cited by 273 · see citing works
A Development and Evaluation Process for mHealth Interventions: Examples From New Zealand
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Ecological momentary assessment methodology in chronic pain research: a systematic review
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Lalloo, C., Jibb, L. A., Rivera, J., Agarwal, A., & Stinson, J. N. (2015) · The Clinical Journal of Pain · doi:10.1097/ajp.0000000000000171 · Cited by 257 · see citing works
A review of the use of mobile phone text messaging in clinical and healthy behaviour interventions
Wei, J., Hollin, I. L., & Kachnowski, S. (2011) · Journal of Telemedicine and Telecare · doi:10.1258/jtt.2010.100322 · Cited by 247 · see citing works
Lund, S., Hemed, M., Nielsen, B., Said, A., Said, K., Makungu, M., & Rasch, V (2012) · BJOG: An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.2012.03413.x · Cited by 228 · see citing works
Bibliometric analysis of worldwide scientific literature in mobile - health: 2006–2016
Sweileh, W. M., Al-Jabi, S. W., AbuTaha, A. S., Zyoud, S. H., Anayah, F. M. A., & Sawalha, A. F. (2017) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-017-0476-7 · Cited by 319 · see citing works
Mobile phone messaging reminders for attendance at healthcare appointments
Car, J., Gurol‐Urganci, I., de Jongh, T. E., Vodopivec‐Jamšek, V., & Atun, R. A. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007458.pub2 · Cited by 230 · see citing works
Wildevuur, S. E., & Simonse, L. W. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3687 · Cited by 203 · see citing works
Wayne, N., Perez, D. F., Kaplan, D. M., & Ritvo, P. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4871 · Cited by 192 · see citing works
Randomized Controlled Pilot Study Testing Use of Smartphone Technology for Obesity Treatment
Allen, J. K., Stephens, J. D., Himmelfarb, C. D., Stewart, K. J., & Hauck, S. (2013) · Journal of Obesity · doi:10.1155/2013/151597 · Cited by 214 · see citing works
Mobile Health Devices as Tools for Worldwide Cardiovascular Risk Reduction and Disease Management
Piette, J. D., List, J. M., Rana, G., Townsend, W. A., Striplin, D., & Heisler, M. (2015) · Circulation · doi:10.1161/circulationaha.114.008723 · Cited by 223 · see citing works
Mobile health applications to assist patients with diabetes: lessons learned and design implications
Årsand, E., Frøisland, D. H., Skrøvseth, S. O., Chomutare, T., Tatara, N., Hartvigsen, G., & Tufano, J. T. (2012) · Journal of Diabetes Science and Technology · doi:10.1177/193229681200600525 · Cited by 214 · see citing works
Smartphone Apps for the Treatment of Mental Disorders: Systematic Review
Miralles, I., Granell, C., Díaz-Sanahuja, L., Van Woensel, W., Bretón-López, J., Mira, A., Castilla, D., & Casteleyn, S. (2020) · JMIR mHealth and uHealth · doi:10.2196/14897 · Cited by 188 · see citing works
Anstey Watkins, J. O. T., Goudge, J., Gómez-Olivé, F. X., & Griffiths, F. (2018) · Social Science & Medicine · doi:10.1016/j.socscimed.2018.01.011 · Cited by 196 · see citing works
“Lines of evidence of the effectiveness of mHealth solutions in LMICs have been inconsistent in systematic reviews (Bärnighausen et al., 2011; Bloomfield et al., 2014; Catalani et al., 2013; Cole-Lewis and Kershaw, 2010; Fjeldsoe et al., 2009; Free et al., 2013; Krishna et al., 2009; Mbuagbaw et al., 2015; Velthoven et…”
BackgroundVersluis, A., Verkuil, B., Spinhoven, P., van der Ploeg, M. M., & Brosschot, J. F. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5642 · Cited by 186 · see citing works
Short Message Service (SMS) Applications for Disease Prevention in Developing Countries
Déglise, C., Suggs, L. S., & Odermatt, P. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1823 · Cited by 206 · see citing works
Issues in mHealth: Findings From Key Informant Interviews
Whittaker, R. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1989 · Cited by 173 · see citing works
Perspectives on the Evolution of Mobile (mHealth) Technologies and Application to Rehabilitation
Dicianno, B. E., Parmanto, B., Fairman, A. D., Crytzer, T. M., Yu, D. X., Pramana, G., Coughenour, D., & Petrazzi, A. (2014) · Physical Therapy · doi:10.2522/ptj.20130534 · Cited by 197 · see citing works
Cohn, A. M., Hunter‐Reel, D., Hagman, B. T., & Mitchell, J. N. (2011) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2011.01571.x · Cited by 194 · see citing works
Piette, J., Lun, K., Moura, L., Fraser, H., Mechael, P., Powell, J., & Khoja, S. (2012) · Bulletin of the World Health Organization · doi:10.2471/blt.11.099069 · Cited by 188 · see citing works
López, L., Green, A. R., Tan‐McGrory, A., King, R. K., & Betancourt, J. R. (2011) · The Joint Commission Journal on Quality and Patient Safety · doi:10.1016/s1553-7250(11)37055-9 · Cited by 186 · see citing works
Semple, J. L., Sharpe, S., Murnaghan, M. L., Theodoropoulos, J., & Metcalfe, K. A. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.3929 · Cited by 190 · see citing works
McGillicuddy, J. W., Gregoski, M. J., Weiland, A. K., Rock, R. A., Brunner-Jackson, B. M., Patel, S. K., Thomas, B. S., Taber, D. J., Chavin, K. D., Baliga, P. K., et al. (2013) · JMIR Research Protocols · doi:10.2196/resprot.2633 · Cited by 190 · see citing works
An overview of health forecasting
Soyiri, I. N., & Reidpath, D. D. (2012) · Environmental Health and Preventive Medicine · doi:10.1007/s12199-012-0294-6 · Cited by 181 · see citing works
Nymberg, V. M., Bolmsjö, B. B., Wolff, M., Calling, S., Gerward, S., & Sandberg, M. (2019) · Scandinavian Journal of Primary Health Care · doi:10.1080/02813432.2019.1570612 · Cited by 181 · see citing works
Hou, M. Y., Hurwitz, S., Kavanagh, E., Fortin, J., & Goldberg, A. B. (2010) · Obstetrics & Gynecology · doi:10.1097/aog.0b013e3181eb6b0f · Cited by 176 · see citing works
Park, L. G., Howie‐Esquivel, J., & Dracup, K. (2014) · Journal of Advanced Nursing · doi:10.1111/jan.12400 · Cited by 166 · see citing works
Piette, J. D., Datwani, H., Gaudioso, S., Foster, S. M., Westphal, J., Perry, W., Rodríguez-Saldaña, J., Mendoza-Avelares, M. O., & Marinec, N. (2012) · Telemedicine and e-Health · doi:10.1089/tmj.2011.0271 · Cited by 172 · see citing works
Behavior Change Techniques in Popular Alcohol Reduction Apps
Crane, D., Garnett, C., Brown, J., West, R., & Michie, S. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4060 · Cited by 177 · see citing works
Pilot study of a cell phone-based exercise persistence intervention post-rehabilitation for COPD
Nguyen, H. (2009) · International Journal of Chronic Obstructive Pulmonary Disease · doi:10.2147/copd.s6643 · Cited by 165 · see citing works
Orr, J. A., & King, R. J. (2015) · Health Psychology Review · doi:10.1080/17437199.2015.1022847 · Cited by 174 · see citing works
mHealth approaches to child obesity prevention: successes, unique challenges, and next directions
Tate, E. B., Spruijt‐Metz, D., O’Reilly, G. A., Jordan‐Marsh, M., Gotsis, M., Pentz, M. A., & Dunton, G. F. (2013) · Translational Behavioral Medicine · doi:10.1007/s13142-013-0222-3 · Cited by 172 · see citing works
McGillicuddy, J. W., Weiland, A. K., Frenzel, R. M., Mueller, M., Brunner-Jackson, B. M., Taber, D. J., Baliga, P. K., & Treiber, F. A. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2284 · Cited by 173 · see citing works
Militello, L. K., Kelly, S. A., & Melnyk, B. M. (2012) · Worldviews on Evidence-Based Nursing · doi:10.1111/j.1741-6787.2011.00239.x · Cited by 166 · see citing works
Dario, A. B., Moreti Cabral, A., Almeida, L., Ferreira, M. L., Refshauge, K., Simic, M., Pappas, E., & Ferreira, P. H. (2017) · The Spine Journal · doi:10.1016/j.spinee.2017.04.008 · Cited by 163 · see citing works
Baumel, A., & Kane, J. M. (2018) · Journal of Medical Internet Research · doi:10.2196/11491 · Cited by 131 · see citing works
Y ou T ube as a source of information on dialysis: A content analysis
Garg, N., Venkatraman, A., Pandey, A., & Kumar, N. (2015) · Nephrology · doi:10.1111/nep.12397 · Cited by 162 · see citing works
Goodarzi, M., Ebrahimzadeh, I., Rabi, A. S., Saeedipor, B., & Jafarabadi, M. A. (2012) · Journal of Diabetes & Metabolic Disorders · doi:10.1186/2251-6581-11-10 · Cited by 160 · see citing works
Amorim, A. B., Pappas, E., Simić, M., Ferreira, M. L., Jennings, M. D., Tiedemann, A., Carvalho‐e‐Silva, A. P., Caputo, E. L., Kongsted, A., & Ferreira, P. H. (2019) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-019-2454-y · Cited by 159 · see citing works
Financial arrangements for health systems in low-income countries: an overview of systematic reviews
Wiysonge, C. S., Paulsen, E., Lewin, S. A., Ciapponi, A., Herrera, C. A., Opiyo, N., Tomás Pantoja, C., Gabriel Rada, G., & Oxman, A. D. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011084.pub2 · Cited by 161 · see citing works
The use of smartphones for health research
Dorsey, E. R., “Yvonne” Chan, Y.-F., McConnell, M. V., Shaw, S. Y., Trister, A. D., & Friend, S. H. (2017) · Academic Medicine · doi:10.1097/acm.0000000000001205 · Cited by 154 · see citing works
Bloomfield, G. S., Vedanthan, R., Vasudevan, L., Kithei, A., Were, M., & Velazquez, E. J. (2014) · Globalization and Health · doi:10.1186/1744-8603-10-49 · Cited by 154 · see citing works
Bacigalupo, R., Cudd, P., Littlewood, C., Bissell, P., Hawley, M., & Woods, H. B. (2012) · Obesity Reviews · doi:10.1111/obr.12006 · Cited by 150 · see citing works
Vassilev, I., Rowsell, A., Pope, C., Kennedy, A., O’Cathain, A., Salisbury, C., & Rogers, A. (2015) · Implementation Science · doi:10.1186/s13012-015-0238-9 · Cited by 137 · see citing works
Stinson, J. N., Lalloo, C., Harris, L., Isaac, L., Campbell, F., Brown, S., Ruskin, D., Gordon, A., Galonski, M., Pink, L. R., et al. (2014) · Pain Research and Management · doi:10.1155/2014/935278 · Cited by 149 · see citing works
Peiris, D., Praveen, D., Johnson, C., & Mogulluru, K. (2014) · Journal of Cardiovascular Translational Research · doi:10.1007/s12265-014-9581-5 · Cited by 150 · see citing works
Kaplan, R. M., & Stone, A. A. (2013) · Annual Review of Psychology · doi:10.1146/annurev-psych-113011-143736 · Cited by 144 · see citing works
Gold, J., Lim, M. S., Hellard, M. E., Hocking, J. S., & Keogh, L. (2010) · BMC Public Health · doi:10.1186/1471-2458-10-792 · Cited by 145 · see citing works
Nundy, S., Dick, J. J., Chou, C.-H., Nocon, R. S., Chin, M. H., & Peek, M. E. (2014) · Health Affairs · doi:10.1377/hlthaff.2013.0589 · Cited by 144 · see citing works
Frøisland, D. H., Årsand, E., & Skårderud, F. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2155 · Cited by 144 · see citing works
Baumel, A., Edan, S., & Kane, J. M. (2019) · Translational Behavioral Medicine · doi:10.1093/tbm/ibz147 · Cited by 143 · see citing works
Hilliard, M. E., Hahn, A. L., Ridge, A. K., Eakin, M. N., & Riekert, K. A. (2014) · JMIR mhealth and uhealth · doi:10.2196/mhealth.3599 · Cited by 140 · see citing works
Biduski, D., Bellei, E. A., Rodriguez, J. P. M., Zaina, L. A. M., & Marchi, A. C. B. D. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106169 · Cited by 144 · see citing works
Physical Activity Text Messaging Interventions in Adults: A Systematic Review
Buchholz, S. W., Wilbur, J., Ingram, D., & Fogg, L. (2013) · Worldviews on Evidence-Based Nursing · doi:10.1111/wvn.12002 · Cited by 140 · see citing works
Factors Associated with Medication Nonadherence among Hypertensives in Ghana and Nigeria
Boima, V., Ademola, A. D., Odusola, A. O., Agyekum, F., Nwafor, C. E., Cole, H. V. S., Salako, B. L., Ogedegbe, G. G., & Tayo, B. O. (2015) · International Journal of Hypertension · doi:10.1155/2015/205716 · Cited by 142 · see citing works
McLean, S. M., Booth, A., Gee, M., Salway, S., Cobb, M., Bhanbhro, S., & Nancarrow, S. (2016) · Patient Preference and Adherence · doi:10.2147/ppa.s93046 · Cited by 141 · see citing works
Muench, F. J., & Baumel, A. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7463 · Cited by 138 · see citing works
Rubinstein, A., Miranda, J. J., Beratarrechea, A. G., Diez‐Canseco, F., Kanter, R., Gutiérrez, L., Bernabé‐Ortiz, A., Irazola, V. E., Fernandez, A., Letona, P., et al. (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00381-2 · Cited by 137 · see citing works
Mobile Phone Text Messaging: Tool for Malaria Control in Africa
Zurovac, D., Talisuna, A. O., & Snow, R. W. (2012) · PLoS Medicine · doi:10.1371/journal.pmed.1001176 · Cited by 135 · see citing works
Current mHealth Technologies for Physical Activity Assessment and Promotion
O’Reilly, G. A., & Spruijt‐Metz, D. (2013) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2013.05.012 · Cited by 132 · see citing works
- Authors
- Krishna, S., Boren, S. A., & Balas, E. A.
- Affiliations
- Saint Louis University (US)
- Harry S. Truman Memorial Veterans' Hospital (US)
- Old Dominion University (US)
- Venue
- Telemedicine and e-Health
- Publisher
- SAGE Publications
- Published
- 2009-04
- Volume
- 15
- Issue
- 3
- Pages
- 231-240
- ISSN
- 1530-5627 (ISSN-L)
- 1556-3669
- OpenAlex
- W2094377001
- Cited by
- 882
- References
- 44
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 24 · 2023: 25 · 2022: 28 · 2021: 43 · 2020: 48 · 2019: 53 · 2018: 70 · 2017: 73 · 2016: 81 · 2015: 68 · 2014: 109 · 2013: 93 · 2012: 77
- FWCI
- 9.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Telemedicine Journal and e-Health (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Agency for Healthcare Research and Quality (R01 HS010472)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Keywords
- mobile devices, text messaging intervention, mobile health, voice mail, medication adherence, disease management, smoking cessation, diabetes mellitus, asthma, HbA1c, self-efficacy, stress, physical activity, health education, appointment reminders, health outcomes, process of care
- MeSH terms
- Health Promotion, Humans, Outcome and Process Assessment, Health Care, Patient Education as Topic, Self Care, Telemedicine, Disease Management, Cell Phone
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