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).”
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
