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.
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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
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Joshi, V., Joshi, N. K., Bhardwaj, P., Singh, K., Ojha, D., & Jain, Y. K. (2023) · Online Journal of Public Health Informatics · doi:10.2196/50927 · Cited by 27
Boeschoten, R. E., Dekker, J., Uitdehaag, B. M. J., Polman, C. H., Collette, E. H., Cuijpers, P. J., Beekman, A. T. F., & van Oppen, P. (2012) · BMC Psychiatry · doi:10.1186/1471-244x-12-137 · Cited by 24
Askari, A., Khodaie, M., & Bahaadinbeigy, K. (2014) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x13519899 · Cited by 22
Youssef, A. (2014) · Eastern Mediterranean Health Journal · doi:10.26719/2014.20.5.317 · Cited by 22
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Franke, K. H., Krumkamp, R., Mohammed, A., Sarpong, N., Owusu‐Dabo, E., Brinkel, J., Fobil, J. N., Marinović, A. B., Asihene, P., Boots, M., et al. (2018) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-018-0600-3 · Cited by 21
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Hill, J. H., Burge, S. K., Haring, A., & Young, R. A. (2012) · The Journal of the American Board of Family Medicine · doi:10.3122/jabfm.2012.05.120043 · Cited by 21
Thorogood, M., Goudge, J., Bertram, M., Chirwa, T. F., Eldridge, S. M., Gómez-Olivé, F. X., Limbani, F., Musenge, E., Myakayaka, N., Tollman, S. M., et al. (2014) · Trials · doi:10.1186/1745-6215-15-435 · Cited by 21
Rowell‐Cunsolo, T. L., & Graf, G. H.-J. (2020) · PLoS ONE · doi:10.1371/journal.pone.0233842 · Cited by 21
McCallum, G. B., Versteegh, L. A., Morris, P. S., McKay, C., Jacobsen, N., White, A. V., D’Antoine, H. A., & Chang, A. B. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-622 · Cited by 20
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de Lepper, A. M., Eijkemans, M. J. C., van Beijma, H., Loggers, J.-W., Tuijn, C. J., & Oskam, L. (2013) · Tropical Medicine & International Health · doi:10.1111/tmi.12059 · Cited by 20
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Bennett, D., & Emberson, J. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60882-9 · Cited by 20
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Stenner, S. P., Johnson, K. B., & Denny, J. C. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000484 · Cited by 19
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Chung, I., Kang, E., Yom, C., Kim, D., Sun, Y., Hwang, Y., Jang, J., & Kim, S.-W. (2015) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x15571651 · Cited by 18
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Arcas, M. M., Burón, A., Ramis, O., Esturi, M., Hernández, C., & Maciá, F. (2014) · Revista de Calidad Asistencial · doi:10.1016/j.cali.2014.02.003 · Cited by 13
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Rubinstein, A., Irazola, V. E., Poggio, R., Gulayin, P., Nejamis, A., & Beratarrechea, A. G. (2015) · Global Heart · doi:10.1016/j.gheart.2014.12.011 · Cited by 19
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Hatcher, A. R., Littrell, O. M., Challman, S. D., & Stein, P. S. (2011) · Journal of Nursing Education · doi:10.3928/01484834-20101230-04 · Cited by 18
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Pandian, P. S. (2016) · International Journal of Biomedical and Clinical Engineering · doi:10.4018/ijbce.2016070103 · Cited by 20
Haenssgen, M. J., Charoenboon, N., & Zanello, G. (2020) · World Development · doi:10.1016/j.worlddev.2020.105156 · Cited by 22
Kaboré, C., Ridde, V., Kouanda, S., Queuille, L., Somé, P., Agier, I., & Dumont, A. (2016) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-016-1112-8 · Cited by 17
Accuracy of smartphone-based hearing screening tests: a systematic review
Melo, I. M. M., Silva, A. R. X., Camargo, R., Cavalcanti, H. G., Ferrari, D. V., Taveira, K. V. M., & Balen, S. A. (2022) · CoDAS · doi:10.1590/2317-1782/20212020380 · Cited by 22
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Olaleye, O. J., Olaniyan, A., Eboda, O., & Awolere, A. (2013) · Journals & Books Hosting (International Knowledge Sharing Platform) · Cited by 17
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Hart, T. A., Ahlers‐Schmidt, C. R., Chesser, A., Jones, J. T., Williams, K. S., & Wittler, R. R. (2011) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2010.0221 · Cited by 17
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Singh, N., & Varshney, U. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.103980 · Cited by 17
Ganapathy, K., Kanwar, V., Bhatnagar, T., & Uthayakumaran, N. (2016) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2015.0198 · Cited by 17
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Pedrana, A., Pina, J., Padmawati, R. S., Zuhrina, R., Lazuardi, L., Lim, M., Hellard, M., & Prabandari, Y. (2020) · Sexual Health · doi:10.1071/sh18199 · Cited by 18
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Carter, L. D., Corneille, M. A., Hall, N. M., Clark, T. T., & Younge, S. N. (2015) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00068 · Cited by 16
Fordis, M., Street, R. L., Volk, R. J., & Smith, Q. W. (2011) · Journal of Health Communication · doi:10.1080/10810730.2011.598398 · Cited by 16
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McGuire, H., & Weigl, B. H. (2014) · Journal of Cardiovascular Translational Research · doi:10.1007/s12265-014-9591-3 · Cited by 17
Smaldone, A. M., Stockwell, M. S., Osborne, J. C., Cortés, Y. I., Bekele, E., & Green, N. (2015) · Journal of Public Health Research · doi:10.4081/jphr.2015.376 · Cited by 16
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Bäck, I., & Mäkelä, K. (2012) · Journal of Information Technology & Software Engineering · doi:10.4172/2165-7866.1000106 · Cited by 16
Williams, N. J., Robbins, R., Rapoport, D. M., Allegrante, J. P., COHALL, A. T., Ogedgebe, G., & Jean‐Louis, G. (2016) · Trials · doi:10.1186/s13063-016-1701-x · Cited by 16
Bergner, E. M., Nelson, L. A., Rothman, R. L., & Mayberry, L. S. (2017) · HLRP Health Literacy Research and Practice · doi:10.3928/24748307-20170906-01 · Cited by 17
The use of short message service (SMS) among hospitalized coronary patients
Bergvik, S., & Wynn, R. (2012) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2012.03.006 · Cited by 16
Xu, X., Aron, A. P., Westmaas, J. L., Wang, J. A., & Sweet, L. H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094598 · Cited by 16
Greenwood, D. A., Hankins, A. I., Parise, C. A., Spier, V., Olveda, J. E., & Buss, K. A. (2014) · The Science of Diabetes Self-Management and Care · doi:10.1177/0145721714531337 · Cited by 18
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Maddison, R., Stewart, R., Doughty, R. N., Scott, T., Kerr, A., Benatar, J. R., Whittaker, R., Rawstorn, J. C., Rolleston, A. K., Jiang, Y., et al. (2018) · Trials · doi:10.1186/s13063-018-2468-z · Cited by 19
Sani, M., Makeen, A. M., Albasheer, O., Solan, Y. M., & Mahfouz, M. S. (2018) · International Journal of Diabetes in Developing Countries · doi:10.1007/s13410-018-0608-3 · Cited by 18
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Dai, X., & Bikdash, M. U. (2017) · IEEE Access · doi:10.1109/access.2017.2696502 · Cited by 15
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Spoelstra, S., Given, C. W., Sikorskii, A. E., Coursaris, C. K., Majumder, A., DeKoekkoek, T., Schueller, M., & Given, B. A. (2015) · Journal of Advanced Nursing · doi:10.1111/jan.12714 · Cited by 15
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Brandt, J., Katsma, D. L., Crayton, D., & Pingenot, A. (2016) · Nursing Management · doi:10.1097/01.numa.0000484474.76112.a3 · Cited by 15
Yin, L., Lin, N., Song, X., Mei, S., Shaw, S., Fang, Z., Li, Q., Li, Y., & Mao, L. (2019) · Applied Geography · doi:10.1016/j.apgeog.2019.102103 · Cited by 15
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Editorial: Special Issue on Mobile and Wireless Technologies for Healthcare Delivery
Nikita, K. S., Lin, J. C.-J., Fotiadis, D. I., & Arredondo, M. T. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2212775 · Cited by 15
Beratarrechea, A., Diez-Canseco, F., Fernández, A., Kanter, R., Letona, P., Martinez, H., Miranda, J. J., Ramirez-Zea, M., & Rubinstein, A. (2015) · Revista Peruana de Medicina Experimental y Salud Pública · doi:10.17843/rpmesp.2015.322.1611 · Cited by 13
Atta, S., Omar, M. M., Kaleem, S. Z., & Waxman, E. L. (2021) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2020.0568 · Cited by 13
MacDonell, K. K., Wang, B., Phanuphak, N., Janamnuaysook, R., Srimanus, P., Rongkavilit, C., & Naar, S. (2022) · JMIR Research Protocols · doi:10.2196/37659 · Cited by 14
mHealth : l'information de santé ubique ?
Dahdah, M. A. (2014) · Le Temps des médias · doi:10.3917/tdm.023.0052 · Cited by 14
Zhao, Y., Ren, M., Wang, X., Lu, G., Lu, X., Zhang, D., & He, S. (2020) · Gastroenterology Research and Practice · doi:10.1155/2020/8972473 · Cited by 14
Griffiths, H. (2020) · Psychiatric Quarterly · doi:10.1007/s11126-020-09847-x · Cited by 14
Desai, R. V., Badrapur, N. C., Mittapalli, H., Srivastava, B. K., Eshwar, S., & Jain, V. K. (2021) · Revista Paulista de Pediatria · doi:10.1590/1984-0462/2021/39/2020085 · Cited by 14
Jesús, M. D., Ramachandra, S. S., Silva, A. D., Liu, S., Dubnansky, E., Iyawe, K., Jimenez, A., Logie, L. A., & Jackson, M. C. (2021) · Women s Health Reports · doi:10.1089/whr.2020.0112 · Cited by 14
Yang, K., Jin, L., Li, L., Zeng, S., Wei, R., Li, G.-M., Man, P., & Congdon, N. (2016) · JAMA ophthalmology · doi:10.1001/jamaophthalmol.2016.2819 · Cited by 14
Development and Testing of a Smartphone Application Prototype for Oral Health Promotion.
Nolen, S. L., Giblin-Scanlon, L. J., Boyd, L. D., & Rainchuso, L. (2018) · PubMed · Cited by 14
Rubrichi, S., Battistotti, A., & Quaglini, S. (2014) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2014.03.003 · Cited by 15
Les réseaux sociaux, les enfants et le pédiatre
Heuzey, M.-F. L. (2011) · Archives de Pédiatrie · doi:10.1016/j.arcped.2011.10.016 · Cited by 14
Seismocardiography: Practical implementation and feasibility
Paukkunen, M. (2014) · Aaltodoc (Aalto University) · Cited by 14
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
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