The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Special issue on ehealth and mhealth: Challenges and future directions for assessment, treatment, and dissemination
Open accessAbstract
This special issue is intended to promote a discussion of eHealth and mHealth and its connection with health psychology. "eHealth" generally refers to the use of information technology, including the Internet, digital gaming, virtual reality, and robotics, in the promotion, prevention, treatment, and maintenance of health. "mHealth" refers to mobile and wireless applications, including text messaging, apps, wearable devices, remote sensing, and the use of social media such as Facebook and Twitter, in the delivery of health related services. This special issue includes 11 articles that begin to address the need for more rigorous methodology, valid assessment, innovative interventions, and increased access to evidence-based programs and interventions.
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In the citing paper
“In health psychology, electronic health (eHealth) interventions represent an essential opportunity to actively involve patients in their health care.9,10”
From Effects of a Video Sequence Based Intervention on Anxiety, Fatigue and Depression in Cancer Patients: Results of a Randomized Controlled Trial. (2023) · cites this paper as [10]
In the citing paper
“For several years, it has been argued that eHealth and particularly mHealth will inevitably change our health systems in general [63] and pain management in particular [45].”
Citations
Cites
Knowledge translation of research findings
Grimshaw, J. M., Eccles, M. P., Lavis, J. N., Hill, S. J., & Squires, J. E. (2012) · Implementation Science · doi:10.1186/1748-5908-7-50 · Cited by 2,407
Understanding the potential of teachable moments: the case of smoking cessation
McBride, C. M. (2003) · Health Education Research · doi:10.1093/her/18.2.156 · Cited by 1,162
Noar, S. M., & Zimmerman, R. S. (2005) · Health Education Research · doi:10.1093/her/cyg113 · Cited by 793
Microrandomized trials: An experimental design for developing just-in-time adaptive interventions.
Klasnja, P., Hekler, E. B., Shiffman, S., Boruvka, A., Almirall, D., Tewari, A., & Murphy, S. A. (2015) · Health Psychology · doi:10.1037/hea0000305 · Cited by 671
Nahum-Shani, I., Hekler, E. B., & Spruijt-Metz, D. (2015) · Health Psychology · doi:10.1037/hea0000306 · Cited by 568
Mobile Applications for Weight Management
Azar, K. M. J., Lesser, L. I., Laing, B. Y., Stephens, J., Aurora, M. S., Burke, L. E., & Palaniappan, L. P. (2013) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2013.07.005 · Cited by 334
Mohr, D. C., Schueller, S. M., Riley, W. T., Brown, C. H., Cuijpers, P., Duan, N., Kwasny, M. J., Stiles-Shields, C., & Cheung, K. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4391 · Cited by 216
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
Ebert, D. D., Berking, M., Thiart, H., Riper, H., Laferton, J. A. C., Cuijpers, P., Sieland, B., & Lehr, D. (2015) · Health Psychology · doi:10.1037/hea0000277 · Cited by 161
Ranking 37th — Measuring the Performance of the U.S. Health Care System
Murray, C. J. L., & Frenk, J. M. (2010) · New England Journal of Medicine · doi:10.1056/nejmp0910064 · Cited by 152
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Reddy, P. S., Locke, M., & Badawy, S. M. (2024) · doi:10.2196/preprints.69584
Reddy, P. S., Locke, M., & Badawy, S. M. (2025) · JMIR Pediatrics and Parenting · doi:10.2196/69584
“Medication adherence is complex and multifaceted [6,7] Studies of adherence among patients taking iron chelation medication often report multiple factors contributing to low adherence, and it is difficult to compare and establish rates of adherence among patients taking iron chelation medication…”
Digital and telehealth sleep health interventions
Brombach, R. K., & Dietch, J. R. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-13954-3.00053-x
Svendsen, M. J., Nicholl, B. I., Mair, F. S., Wood, K., Rasmussen, C. D. N., & Stochkendahl, M. J. (2022) · Figshare · doi:10.6084/m9.figshare.21266874
Svendsen, M. J., Nicholl, B. I., Mair, F. S., Wood, K., Rasmussen, C. D. N., & Stochkendahl, M. J. (2022) · Figshare · doi:10.6084/m9.figshare.21266877
Yu, Y., Wang, M., Pan, H., Huang, L., Li, H., & Li, X. (2026) · PLoS ONE · doi:10.1371/journal.pone.0340074
“Advancements in information technology have enabled the emergence of smart healthcare interventions, which offer innovative, personalized, and remote approaches to disease management [14,15].”
IT-supported integrated care pathways for diabetes
Vrijhoef, H. J. (2017) · VUBIR (Vrije Universiteit Brussel)
Zhang, J., Son, Y., Jiang, Y., Wang, Q., Luo, L., Xie, J., & Tao, M. (2026) · Supportive Care in Cancer · doi:10.1007/s00520-026-10631-z
RankSVM Integrated Quality Function Deployment Framework: Evaluating for M-Health Applications
Olgac, E., Karaşan, A., & Kaya, İ. (2026) · International Conference on Frontiers of Engineering and Emerging Technologies (FET) · doi:10.1109/fet68771.2026.11601555
“QFD can be used to analyze quality perspectives of m-Health applications. m-Health related studies in literature generally focused on the adaptation of these technologies [6], [7], [8].”
Lange, M., Hasselmann, O., Schauerte, B., & Lennefer, T. (2026) · Fehlzeiten-Report · doi:10.1007/978-3-662-73665-4_17
Metadata
- Authors
- Borrelli, B., & Ritterband, L. M.
- Affiliations
- Boston University (US)
- University of Virginia (US)
- Venue
- Health Psychology
- Published
- 2015-12
- Volume
- 34
- Issue
- Suppl
- Pages
- 1205-1208
- ISSN
- 0278-6133 (ISSN-L)
- 1930-7810
- OpenAlex
- W2412010135
- Cited by
- 111
- References
- 22
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 8 · 2023: 19 · 2022: 15 · 2021: 16 · 2020: 15 · 2019: 10 · 2018: 9 · 2017: 8 · 2016: 1
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Health Psychology (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Funders
- National Institutes of Health
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- e-health, mobile health, mobile health apps, wearable devices, digital health interventions, health promotion, health prevention, evidence-based interventions
- MeSH terms
- Forecasting, Humans, Treatment Outcome, Telemedicine, Internet, Information Dissemination, Cell Phone, Text Messaging
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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.
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