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
Items 501–600 of 884
Hailemariam, T., Atnafu, A., Gezie, L. D., & Tilahun, B. C. (2024) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-024-02836-1 · Cited by 19
Roh, S., Lee, Y.-S., Kenyon, D. B., Elliott, A. J., Petereit, D. G., Gaba, A. G., & Lee, H. Y. (2023) · JMIR Formative Research · doi:10.2196/47851 · Cited by 13
Use of mobile applications in the management of overweight and obesity in primary and secondary care
Alnuaimi, A., Rawaf, S., Hassounah, S., & Chehab, M. A. H. (2019) · JRSM Open · doi:10.1177/2054270419843826 · Cited by 13
Anderson, E. J., McClelland, J. D., Krause, C. M., Krause, K. C., Garcia, D. O., & Koss, M. P. (2019) · BMJ Open · doi:10.1136/bmjopen-2019-029880 · Cited by 19
A look to the future: Pandemic-induced digital technologies in vascular surgery
Lin, J. C., Welle, N., Ding, J., & Chuen, J. (2021) · Seminars in Vascular Surgery · doi:10.1053/j.semvascsurg.2021.08.003 · Cited by 13
Adhering to your non‐adherent patients: the challenge of non‐compliance
Miloh, T., & Annunziato, R. A. (2010) · Acta Paediatrica · doi:10.1111/j.1651-2227.2010.01702.x · Cited by 13
Web 2.0: Easy Tools for Busy Clinicians
Phillippi, J. C., & Buxton, M. (2010) · Journal of Midwifery & Women s Health · doi:10.1016/j.jmwh.2010.05.009 · Cited by 13
Maslowsky, J., Valsangkar, B., Chung, J. J., Rasanathan, J., Cruz, F. T., Ochoa, M. A., Chiriboga, M., Astudillo, F., Heisler, M., & Merajver, S. D. (2012) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2011.0156 · Cited by 13
Feasibility and adherence paradigm to ecological momentary assessments in urban minority youth.
Shiyko, M. P., Perkins, S., & Caldwell, L. L. (2017) · Psychological Assessment · doi:10.1037/pas0000386 · Cited by 14
Social Media Interventions for Adolescents and Young People with Depression and Psychosis
Santesteban‐Echarri, O., Álvarez‐Jiménez, M., Gleeson, J., & Rice, S. (2018) · Springer eBooks · doi:10.1007/978-3-319-69638-6_14 · Cited by 13
Matthews, A. K., Breen, E., Veluz‐Wilkins, A. K., Ciecierski, C. C., Simon, M. A., Burrell, D., & Hitsman, B. L. (2019) · Progress in community health partnerships · doi:10.1353/cpr.2019.0040 · Cited by 13
Collins, J. L., & Champion, J. D. (2014) · Journal of Pediatric Nursing · doi:10.1016/j.pedn.2014.03.020 · Cited by 13
Kwon, N. S., Colucci, A. C., Gulati, R., Shawn, L. K., Kasahara, Y., Bakhar, A. E., Simons, E., & Wall, S. P. (2013) · Journal of Emergency Medicine · doi:10.1016/j.jemermed.2012.09.041 · Cited by 13
To Friend or Not to Friend. . . .
Knight, M. (2012) · Business Communication Quarterly · doi:10.1177/1080569912438833 · Cited by 13
Peter, J. (2018) · BMJ Global Health · doi:10.1136/bmjgh-2017-000562 · Cited by 13
The use of telephone monitoring for diabetic patients: theory and practical implications
Koutsouris, D., Iliopoulou, D., Lazakidou, A. A., Fotiadis, D. I., Petridou, M., Giokas, K., Koutsouri, G. D., & Vellidou, E. (2014) · Smart Homecare Technology and TeleHealth · doi:10.2147/shtt.s41242 · Cited by 12
van Velthoven, M. H., Li, Y., Wang, W., Du, X., Wu, Q., Chen, L., Majeed, A., Rudan, I., Zhang, Y., & Car, J. (2013) · Journal of Global Health · doi:10.7189/jogh.03.020401 · Cited by 12
Mendis, K., Forster, T., Paxton, K., Hyland, K. C., Yelverton, J., McLean, R., Canalese, J., Brown, A., & Steinbeck, K. S. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-243 · Cited by 12
Patterns of effective medication adherence: The role of wireless interventions
Singh, N., & Varshney, U. (2014) · Wireless Telecommunications Symposium · doi:10.1109/wts.2014.6835015 · Cited by 12
Pretesting an mHealth intervention for at-risk adolescent girls in Soweto, South Africa
Merrill, J., Hershow, R. B., Merrill, K. G., & Barkley, C. (2013) · International Conference on Information and Communication Technologies and Development (ICTD) · doi:10.1145/2517899.2517933 · Cited by 12
Moon, R. Y., Hauck, F. R., Kellams, A. L., Colson, E. R., Geller, N. L., Heeren, T., Kerr, S. M., & Corwin, M. J. (2017) · Academic Pediatrics · doi:10.1016/j.acap.2017.06.004 · Cited by 12
Improving Self-Management and Care Coordination with Person-Generated Health Data and Mobile Health
Kim, K. K., Jalil, S., & Ngo, V. (2019) · Springer eBooks · doi:10.1007/978-3-319-96906-0_12 · Cited by 12
John, E. G., & Domingo, L. (2014) · Europe PMC (PubMed Central) · Cited by 11
The emerging interface of healthcare system and mobile communication technologies
Nair, P., & Bhaskaran, H. (2014) · Health and Technology · doi:10.1007/s12553-014-0091-x · Cited by 14
Mobile Health in Maternal and Newborn Care: Fuzzy Logic
Premji, S. (2014) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph110606494 · Cited by 12
Steiner, J. H., Guest, P. C., Rahmoune, H., & Martins‐de‐Souza, D. (2016) · Methods in molecular biology · doi:10.1007/978-1-4939-6730-8_2 · Cited by 11
Getting to the Top of Mind: How Reminders Increase SavingPreprint
Karlan, D., McConnell, M. A., Mullainathan, S., & Zinman, J. (2010) · SSRN Electronic Journal · doi:10.2139/ssrn.1596281 · Cited by 12
Helstrom, A. W., Ingram, E., Wang, W., Small, D., Klaus, J., & Oslin, D. (2014) · Addictive Disorders & Their Treatment · doi:10.1097/adt.0b013e31827e206c · Cited by 11
Choi, S., Sajib, M. R. U. Z., Manzano, J. L. R., & Chlebek, C. J. (2023) · JMIR Formative Research · doi:10.2196/52410 · Cited by 11
Harrison, R. M., Lapteva, E., & Bibin, A. (2024) · JMIR AI · doi:10.2196/52974 · Cited by 15
Weerasinghe, M. C., Senerath, U., Godakandage, S. S. P., Jayawickrama, H., Wickramasinghe, A., Siriwardena, I., Nimalan, S., Dibley, M. J., & Alam, A. (2016) · The Qualitative Report · doi:10.46743/2160-3715/2016.2321 · Cited by 10
Preliminary Study on Evaluation of Smart-Cities Technologies and Proposed UV Lifestyles
Cao, S., Chen, Y., Cheng, G., Du, F., Gao, W., He, Z., Li, S., Lun, S., Ma, H., Su, Q., et al. (2018) · International Conference on Universal Village (UV) · doi:10.1109/uv.2018.8642142 · Cited by 11
Utilization of integrated health kiosks: A systematic review.
Letafat-Nejad, M., Ebrahimi, P., Maleki, M., & Aryankhesal, A. (2020) · PubMed Central · doi:10.34171/mjiri.34.114 · Cited by 11
Yakovchenko, V., McInnes, D. K., Petrakis, B. A., Gillespie, C., Lipschitz, J. M., McCullough, M. B., Richardson, L. M., Vetter, B., & Hogan, T. P. (2021) · JMIR mhealth and uhealth · doi:10.2196/31037 · Cited by 11
Roh, S., & Lee, Y.-S. (2023) · Journal of Cancer Education · doi:10.1007/s13187-022-02252-x · Cited by 11
Gold, J., Andrews, H., Appleford, G., Ramanantsoa, B., Hanitriniaina, O., Deiparine, R., & Corby, N. (2012) · Journal of health informatics in developing countries · Cited by 11
M-HELP: A Miniaturized Total Health Examination System Launched on a Mobile Phone Platform
Yu, Y., Li, J., & Liu, J. (2013) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2013.0031 · Cited by 11
Information and Communication Technologies in Long-term and Palliative Care
Reis, A. A., Araújo-Pedrosa, A., Dourado, M., & Reis, C. I. (2013) · Procedia Technology · doi:10.1016/j.protcy.2013.12.146 · Cited by 12
Ranerup, A., & Hallberg, I. (2014) · Informatics for Health and Social Care · doi:10.3109/17538157.2014.924948 · Cited by 11
Kirsch, T. D., Circh, R., Bissell, R. A., & Goldfeder, M. (2016) · Disaster Medicine and Public Health Preparedness · doi:10.1017/dmp.2016.52 · Cited by 11
Design and Feasibility of a School-Based Text Message Campaign to Promote Healthy Relationships
Guillot-Wright, S. P., Lu, Y., Torres, E. D., Le, V. D., Hall, H. L., & Temple, J. R. (2018) · School Mental Health · doi:10.1007/s12310-018-9255-6 · Cited by 11
A Bibliometric Analysis on No-Show Research: Status, Hotspots, Trends and Outlook
Wang, C., Wu, R., Deng, L., Chen, Y., Li, Y., & Wan, Y. (2020) · Sustainability · doi:10.3390/su12103997 · Cited by 12
HPV Vaccine Intent among Adult Women Receiving Care at Community Health Centers
Hecht, M. L., BeLue, R., Ray, A. E., Hopfer, S., Miller-Day, M. A., & McKee, F. X. (2021) · Journal of Cancer Education · doi:10.1007/s13187-020-01937-5 · Cited by 11
Multiplex Biomarker Techniques
(2017) · Methods in molecular biology · doi:10.1007/978-1-4939-6730-8 · Cited by 11
What's new in pediatric dermatology?
Pride, H. B., Tollefson, M. M., & Silverman, R. A. (2013) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2013.03.001 · Cited by 11
Basevi, R., Reid, D., & Godbold, R. (2014) · University of Hertfordshire Research Archive (University of Hertfordshire) · Cited by 11
Instruments to Identify Menstrual Complaints and Their Impact on Adolescents: A Systematic Review
Özcan, H., Burger, N. B., Broeder, E. V. D., van Baal, M. W., van den Boogaard, E., de Leeuw, R. A., & Huirne, J. A. F. (2023) · Journal of Pediatric and Adolescent Gynecology · doi:10.1016/j.jpag.2023.11.011 · Cited by 13
Hailemariam, T., Atnafu, A., Gezie, L. D., Kaasbøll, J., Klein, J., & Tilahun, B. C. (2024) · JMIR Human Factors · doi:10.2196/47081 · Cited by 14
Abramsky, H., Kaur, P., Robitaille, M., Taggio, L., Kosemetzky, P. K., Foster, H., Gibson, B. E., Bergeron, M., & Jachyra, P. (2017) · Physiotherapy Canada · doi:10.3138/ptc.2016-87 · Cited by 10
Mugisha, J. O., & Seeley, J. (2020) · AAS Open Research · doi:10.12688/aasopenres.13049.1 · Cited by 10
Smart applications to track and record physical activity: implications for obesity treatment
Wong, S. S., Meng, Y. S., Hongu, N. K., & Loprinzi, P. D. (2014) · Smart Homecare Technology and TeleHealth · doi:10.2147/shtt.s41484 · Cited by 10
Steiner, J. H., Guest, P. C., & Martins‐de‐Souza, D. (2017) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-52479-5_1 · Cited by 10
Lehnert, J. D., Shevach, A., Walker, S., Wang, R., FitzGerald, T. J., & Graitcer, S. B. (2018) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2018.1440162 · Cited by 10
Digital technology for preventative health care in Myanmar
Hlaing, P. M., Nopparatjamjomras, T. R., & Nopparatjamjomras, S. (2018) · Digital Medicine · doi:10.4103/digm.digm_25_18 · Cited by 10
Performance evaluation of WebRTC-based online consultation platform
Tarim, E. A., & Tekin, H. C. (2019) · TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES · doi:10.3906/elk-1903-44 · Cited by 14
Aplicaciones móviles para mejorar la adherencia a la medicación: revisión y análisis de calidad
de León, B. G., Salas, B. L., del Pino-Sedeño, T., Rodríguez-Álvarez, C., Bejarano-Quisoboni, D., & Trujillo-Martín, M. (2021) · Atención Primaria · doi:10.1016/j.aprim.2021.102095 · Cited by 8
Hybrid Mobile Cloud Computing Architecture with Load Balancing for Healthcare Systems
Lee, A., Mhatre, J., Das, R. K., & Hong, M. (2022) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2023.029340 · Cited by 10
A Framework for Predicting Adherence in Remote Health Monitoring Systems
Alshurafa, N. I., Eastwood, J., Pourhomayoun, M., Liu, J. J., Nyamathi, S., & Sarrafzadeh, M. (2014) · doi:10.1145/2668883.2669586 · Cited by 10
Doarn, C. R., & Merrell, R. C. (2013) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2013.9983 · Cited by 10
Le, C., Guttersrud, Ø., Levin‐Zamir, D., Griebler, R., & Finbråten, H. S. (2024) · BMC Public Health · doi:10.1186/s12889-024-19405-w · Cited by 9
Das, D., Maji, P., Dey, G., & Dey, N. (2014) · International Journal of E-Health and Medical Communications · doi:10.4018/ijehmc.2014070102 · Cited by 9
Utilization of integrated health kiosks: A systematic review
Letafat-nejad, M., Ebrahimi, P., Maleki, M., & Aryankhesal, A. (2020) · Medical Journal of the Islamic Republic of Iran · doi:10.47176/mjiri.34.114 · Cited by 9
Yagos, W. O., Tabo, G. O., Moro, E. B., Huck, J., & Nirmalan, M. (2022) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-022-02008-z · Cited by 9
Dar, G., Marx, Y., Ioffe, E., & Kodesh, E. (2014) · International Journal of Clinical Medicine · doi:10.4236/ijcm.2014.59067 · Cited by 9
Using Adaptive Feedback for Promoting Awareness about Physical Activeness in Adults
Mukhtar, H., & Belaïd, D. (2013) · Autonomic and Trusted Computing · doi:10.1109/uic-atc.2013.99 · Cited by 9
Telehealth Interventions for Management of Chronic Obstructive Lung Disease (COPD) and Asthma
Nimmon, L., Poureslami, I. M., & Fitzgerald, M. (2013) · International Journal of Healthcare Information Systems and Informatics · doi:10.4018/jhisi.2013010103 · Cited by 9
Privacy, Security and Interoperability of Mobile Health Applications
Jones, J., Hook, S. A., Park, S. C., & Scott, L. M. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-21666-4_6 · Cited by 9
Salisbury, C., O’Cathain, A., Thomas, C., Edwards, L., Montgomery, A. A., Hollinghurst, S. P., Large, S., Nicholl, J. P., Pope, C. J., Rogers, A. E., et al. (2017) · Programme Grants for Applied Research · doi:10.3310/pgfar05010 · Cited by 9
Ouédraogo, B., Gaudart, J., & Dufour, J.-C. (2017) · Informatics for Health and Social Care · doi:10.1080/17538157.2017.1354000 · Cited by 8
Sack, A., Daramragchaa, U., Chuluunbaatar, M., Gonchigoo, B., & Gray, G. C. (2018) · Pastoralism Research Policy and Practice · doi:10.1186/s13570-017-0109-x · Cited by 9
del Pino‐Sedeño, T., Castro, W. P., Cuevas, C. D. L., Valcárcel‐Nazco, C., Fumero, A., Serrano-Pérez, P., Acosta, F. J., Ramos‐García, V., León‐Salas, B., Bejarano‐Quisoboni, D., et al. (2019) · Patient Preference and Adherence · doi:10.2147/ppa.s172963 · Cited by 10
Owens, O. L., Beer, J. M., Revels, A. A., & White, K. (2020) · Journal of Aging and Environment · doi:10.1080/26892618.2020.1780662 · Cited by 9
Zhou, S., Levinson, A. H., Zhang, X., Portz, J. D., Moore, S. L., Gore, M. O., Ford, K. L., Li, Q., & Bull, S. S. (2020) · Health Promotion Practice · doi:10.1177/1524839920942214 · Cited by 11
Pedraza, L. L., de Moraes, J. R. W., & Rabelo, E. R. (2020) · Revista Latino-Americana de Enfermagem · doi:10.1590/1518-8345.3519.3301 · Cited by 9
Dzansi, G., Chipps, J., & Lartey, M. Y. (2020) · Behaviour and Information Technology · doi:10.1080/0144929x.2020.1836257 · Cited by 9
Mobile Health-Based Approaches for Smoking Cessation Resources
Hyun, S., Hodorowski, J. K., Nirenberg, A., Perocchia, R. S., Staats, J. A., Vélez, O., & Henry, S. B. (2013) · Oncology nursing forum · doi:10.1188/13.onf.e312-e319 · Cited by 9
Evaluation of the Utility of a Glycemic Pattern Identification System
Otto, E., & Tannan, V. (2014) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814532210 · Cited by 9
Gaps in the systematic reviews of the telemedicine field
Bahaadinbeigy, K., Kanagasingam, Y., & Wootton, R. (2010) · Journal of Telemedicine and Telecare · doi:10.1258/jtt.2010.100505 · Cited by 9
Testing a Dynamic Automated Substance Use Intervention Model for Youths Exiting Foster Care
Braciszewski, J. M., Stout, R. L., Tzilos, G. K., Moore, R. S., Bock, B. C., & Chamberlain, P. (2016) · Journal of Child & Adolescent Substance Abuse · doi:10.1080/1067828x.2014.981771 · Cited by 9
Elektronische Medien in der Adipositas-Prävention bei Kindern und Jugendlichen
Blüher, S., Koormann, S., Brauchmann, J., & Wiegand, S. (2016) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-016-2455-z · Cited by 8
A content analysis of free smoking cessation mobile applications in the USA
Lee, J., Dallery, J., Laracuente, A., Ibe, I., Joseph, S., Huo, J. S., & Salloum, R. G. (2019) · The Journal of Smoking Cessation · doi:10.1017/jsc.2019.6 · Cited by 9
Odukoya, O., Faseru, B., Uguru, N., Jamda, M., Onigbogi, O., James, O., Leischow, S., & Ayo-Yusuf, O. (2020) · Substance Abuse · doi:10.1080/08897077.2018.1526844 · Cited by 6
USABILIDADE DA TELEMEDICINA COMO UMA PLATAFORMA DE ENSINO COLABORATIVO PARA ESTUDANTES DE MEDICINA
Arantes, A. C. C., Cardozo, A. T. D. S., Frajhof, L., & Fiorini, S. T. (2013) · Jornal Brasileiro de TeleSSaúde · doi:10.12957/jbrastele.2013.9561 · Cited by 8
What's new in pediatric dermatology?
Pride, H. B., Tollefson, M. M., & Silverman, R. A. (2013) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2013.03.002 · Cited by 8
Mancheno, C., Asch, D. A., Klinger, E. V., Goldshear, J. L., Mitra, N., Buttenheim, A. M., Barg, F. K., Ungar, L., Yang, L., & Merchant, R. M. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.120.020596 · Cited by 8
Development of the Mobile Phone Attachment Scale
Bock, B. C., Thind, H. K., Fava, J. L., Walaska, K., Barnett, N. P., Rosen, R. K., Traficante, R. M., & Lantini, R. (2016) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2016.424 · Cited by 8
Cell Phone Information Seeking Explains Blood Pressure in African American Women
Jones, L. M., Veinot, T. C., & Pressler, S. J. (2017) · Western Journal of Nursing Research · doi:10.1177/0193945916689069 · Cited by 8
Ekinci, F., Tuncel, B., Coşkun, D. M., Akman, M., & Uzuner, A. (2017) · Konuralp Tıp Dergisi · doi:10.18521/ktd.288633 · Cited by 9
Botha, A., Weiss, M. S., & Herselman, M. E. (2018) · International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD) · doi:10.1109/icabcd.2018.8465427 · Cited by 8
Haddad, R. N., Sakr, C., Khabbaz, L. R., Azouri, H., & Eid, B. (2020) · Frontiers in Pediatrics · doi:10.3389/fped.2019.00515 · Cited by 8
Manigault, K. R., Mckinley, D., Patel, S. J., Truong, C., Nguyen, S., Akil, A., Newsom, L. C., Murnane, K. S., & Thurston, M. M. (2020) · JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY · doi:10.1002/jac5.1296 · Cited by 8
Primary care for limited English-speaking patients and parents
Freeman, R. R. (2014) · Journal of the American Association of Nurse Practitioners · doi:10.1002/2327-6924.12148 · Cited by 8
Rattanaumpawan, P., Chuenchom, N., & Thamlikitkul, V. (2017) · Journal of Global Antimicrobial Resistance · doi:10.1016/j.jgar.2017.08.015 · Cited by 8
Impact of mHealth service: An understanding of TreCLifeStyle mobile app in Trentino province, Italy
Rahman, A., Jahan, Y., & Fahad, H. (2019) · International Journal of Healthcare Management · doi:10.1080/20479700.2019.1603337 · Cited by 8
There’s an App for That; Improving Communication during Pediatric Cardiothoracic Surgery
Hodge, A. B., Joy, B. F., Cox, V. K., Naguib, A., Tumin, D., & Galantowicz, M. (2018) · Pediatric Quality and Safety · doi:10.1097/pq9.0000000000000055 · Cited by 8
Information and Communication Technologies, Prenatal Care Services, and Neonatal Health
Beuermann, D. W., Garcia, P. J., Pérez‐Lu, J. E., Anta, R., Maffioli, A., & Rodrigo, M. F. (2019) · Journal of Economics Race and Policy · doi:10.1007/s41996-019-00038-w · Cited by 8
Surprising Consequences of Innocuous Mobile Transaction Reminders of Credit Card Use
Kim, J., Yoon, Y., Choi, J., Dong, H., & Soman, D. (2023) · Journal of Interactive Marketing · doi:10.1177/10949968231189505 · Cited by 7
Santiago, A., Cruz, V. P. G., Furtado, R. D. S., Cândido, E., Brandão, W., & Silva, A. L. (2024) · JMIR Perioperative Medicine · doi:10.2196/56033 · Cited by 6
Mobile health for drug dose optimisation
Larsen, M. E., Farmer, A. A., Weaver, A., Young, A., & Tarassenko, L. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6090449 · Cited by 7
Wu, Y. P., Boucher, K. M., Hu, N., Hay, J. L., Kohlmann, W. K., Aspinwall, L. G., Bowen, D. J., Parsons, B. G., Nagelhout, E., Grossman, D., et al. (2019) · Psycho-Oncology · doi:10.1002/pon.5232 · Cited by 7
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
