Can Mobile Health Technologies Transform Health Care?
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Drawbacks such as counselor resistance, perceptions of increased staff workload, and the cost of owning a smartphone or implementing the technology impede widespread sustainable utilization of mHealth technologies.
“Drawbacks such as counselor resistance and perceptions of increased staff workload, as well as the cost of owning a smartphone or implementation of the technology, impede the widespread utilization of mHealth technologies in a sustainable manner [25,26].”
From Successful Organizational Strategies to Sustain Use of A-CHESS: A Mobile Intervention for Individuals With Alcohol Use Disorders (2015) · cites this paper as [26]
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Kamal, M. A., Ismail, Z., Shehata, I. M., Djirar, S., Talbot, N. C., Ahmadzadeh, S., Shekoohi, S., Cornett, E. M., Fox, C. J., & Kaye, A. D. (2023) · Clinics and Practice · doi:10.3390/clinpract13020042 · Cited by 64 · see citing works
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Self-citationHow trustworthy are apps for maternal and child health?
Scott, K. M., Gome, G. A., Richards, D., & Caldwell, P. H. Y. (2015) · Health and Technology · doi:10.1007/s12553-015-0099-x · Cited by 58 · see citing works
- Authors
- Steinhubl, S. R., Muse, E. D., & Topol, E. J.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2013-12-11
- Volume
- 310
- Issue
- 22
- Pages
- 2395
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2056183152
- Cited by
- 496
- References
- 4
- Citations by year
- 2026: 16 · 2025: 31 · 2024: 33 · 2023: 29 · 2022: 35 · 2021: 39 · 2020: 41 · 2019: 54 · 2018: 52 · 2017: 45 · 2016: 42 · 2015: 42 · 2014: 35 · 2013: 1
- FWCI
- 72.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (8ul1tr000109-05, KL2TR000110)
- National Center for Advancing Translational Sciences (UL1-TR000109, 8 UL1 TR000109)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Keywords
- mobile health, healthcare transformation, digital health
- MeSH terms
- Acute Disease, Adult, Chronic Disease, Community Participation, Delivery of Health Care, Humans, Physician-Patient Relations, Telemedicine, Disease Management
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.
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