The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
In the citing paper
“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 the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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].”
In the citing paper
“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].”
In the citing paper
“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].”
In the citing paper
“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].”
In the citing paper
“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].”
In the citing paper
“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].”
In the citing paper
“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
Citations
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
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
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
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
(2006) · Globalization and Health · doi:10.1186/1744-8603-2-9 · Cited by 467
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
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
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
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
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
Flagged first, then by citations
Research works printed but not linked: 6
- Haller D, 2006, Aust Fam Physician, 35, 175
- Graham ML, 2006, Rural Remote Health, 6, 383
- Bramley D, 2005, N Z Med J, 118, U1494
- 10.1157/13068215 · DOI · Paper page
- Nguyen T, 2006, Australas Phys Eng Sci Med, 29, 87
- Riva G, 2006, Studies Health Technol Informatics, 119, 461
Cited by
Sorted by citations
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
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
“, mobile phones [23–27], specific mobile technology functions (e.”
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
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
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
“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
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
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
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
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
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
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
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
The Smartphone Psychology Manifesto
Miller, G. F. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612441215 · Cited by 671
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
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 623
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
“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
“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].”
InfluentialMeasuring and Influencing Physical Activity with Smartphone Technology: A Systematic Review
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
Hunter, D. J., & Reddy, K. S. (2013) · New England Journal of Medicine · doi:10.1056/nejmra1109345 · Cited by 543
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
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
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
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
‘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
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
Chib, A., van Velthoven, M. H., & Car, J. (2015) · Journal of Health Communication · doi:10.1080/10810730.2013.864735 · Cited by 384
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 415
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
Kirwan, M., Vandelanotte, C., Fenning, A., & Duncan, M. J. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2588 · Cited by 343
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
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
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
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
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
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
Mobile phone messaging for preventive health care
Vodopivec‐Jamšek, V., de Jongh, T. E., Gurol‐Urganci, I., Atun, R. A., & Car, J. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007457.pub2 · Cited by 316
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
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
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
A Development and Evaluation Process for mHealth Interventions: Examples From New Zealand
Whittaker, R., Merry, S., Dorey, E., & Maddison, R. (2012) · Journal of Health Communication · doi:10.1080/10810730.2011.649103 · Cited by 263
Ecological momentary assessment methodology in chronic pain research: a systematic review
May, M., Junghaenel, D. U., Ono, M., Stone, A. A., & Schneider, S. (2018) · The Journal of Pain · doi:10.1016/j.jpain.2018.01.006 · Cited by 247
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
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
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
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
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
Wildevuur, S. E., & Simonse, L. W. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3687 · Cited by 203
Wayne, N., Perez, D. F., Kaplan, D. M., & Ritvo, P. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4871 · Cited by 192
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 228
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 232
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
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
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
“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
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
Issues in mHealth: Findings From Key Informant Interviews
Whittaker, R. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1989 · Cited by 173
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
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
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
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 192
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
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 194
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
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
Hou, M. Y., Hurwitz, S., Kavanagh, E., Fortin, J., & Goldberg, A. B. (2010) · Obstetrics & Gynecology · doi:10.1097/aog.0b013e3181eb6b0f · Cited by 176
Park, L. G., Howie‐Esquivel, J., & Dracup, K. (2014) · Journal of Advanced Nursing · doi:10.1111/jan.12400 · Cited by 166
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
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
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
Orr, J. A., & King, R. J. (2015) · Health Psychology Review · doi:10.1080/17437199.2015.1022847 · Cited by 174
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 180
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
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 164
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
Baumel, A., & Kane, J. M. (2018) · Journal of Medical Internet Research · doi:10.2196/11491 · Cited by 131
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
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
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 168
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 169
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
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
Bacigalupo, R., Cudd, P., Littlewood, C., Bissell, P., Hawley, M., & Woods, H. B. (2012) · Obesity Reviews · doi:10.1111/obr.12006 · Cited by 157
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
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
Peiris, D., Praveen, D., Johnson, C., & Mogulluru, K. (2014) · Journal of Cardiovascular Translational Research · doi:10.1007/s12265-014-9581-5 · Cited by 159
Kaplan, R. M., & Stone, A. A. (2013) · Annual Review of Psychology · doi:10.1146/annurev-psych-113011-143736 · Cited by 144
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
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
Frøisland, D. H., Årsand, E., & Skårderud, F. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2155 · Cited by 148
Baumel, A., Edan, S., & Kane, J. M. (2019) · Translational Behavioral Medicine · doi:10.1093/tbm/ibz147 · Cited by 143
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
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 160
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
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
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
Muench, F. J., & Baumel, A. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7463 · Cited by 148
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
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
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 143
Metadata
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review