Short Message Service (SMS) Text Messages in Health Care
Diabetes Digital Health, Telehealth, and Artificial Intelligence, Page: 171-183
2024
- 2Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
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Book Chapter Description
Short messaging service (SMS) messages or text messages have the potential for high reach at low cost. Using SMS presents an opportunity to deliver health-related information, reminders, and support that provides self-management directly to individuals in a way other mediums cannot. SMS messages are already successfully used as appointment and medication refill reminders. Further research utilizing extant behavioral science knowledge to develop message content could present an opportunity to use SMS to improve broader self-management of diabetes. Machine learning and artificial intelligence could be used to tailor content and identify which populations would derive the most benefit in which contexts.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/B9780443132445000201; http://dx.doi.org/10.1016/b978-0-443-13244-5.00020-1; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85218814396&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/B9780443132445000201; https://dx.doi.org/10.1016/b978-0-443-13244-5.00020-1
Elsevier BV
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