The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Smartphone medication adherence apps: Potential benefits to patients and providers
Open accessAbstract
Objectives To provide an overview of medication adherence, discuss the potential for smartphone medication adherence applications (adherence apps) to improve medication nonadherence, evaluate features of adherence apps across operating systems (OSs), and identify future opportunities and barriers facing adherence apps. Practice description Medication nonadherence is a common, complex, and costly problem that contributes to poor treatment outcomes and consumes health care resources. Nonadherence is difficult to measure precisely, and interventions to mitigate it have been largely unsuccessful. Practice innovation Using smartphone adherence apps represents a novel approach to improving adherence. This readily available technology offers many features that can be designed to help patients and health care providers improve medication-taking behavior. Main outcome measures Currently available apps were identified from the three main smartphone OSs (Apple, Android, and Blackberry). In addition, desirable features for adherence apps were identified and ranked by perceived importance to user desirability using a three-point rating system: 1, modest; 2, moderate; or 3, high. The 10 highest-rated apps were installed and subjected to user testing to assess app attributes using a standard medication regimen. Results 160 adherence apps were identified and ranked. These apps were most prevalent for the Android OS. Adherence apps with advanced functionality were more prevalent on the Apple iPhone OS. Among all apps, MyMedSchedule, MyMeds, and RxmindMe rated the highest because of their basic medication reminder features coupled with their enhanced levels of functionality. Conclusion Despite being untested, medication apps represent a possible strategy that pharmacists can recommend to nonadherent patients and incorporate into their practice.
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Citations
Cites
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“Most medication adherence models are based on several social cognition models, including the health belief model, 17 social cognitive theory, 18 and theory of planned behavior.”
BackgroundInterventions for enhancing medication adherence
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Interventions for enhancing medication adherence
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Cited by
Prevention and Control of Hypertension
Carey, R. M., Muntner, P., Bosworth, H. B., & Whelton, P. K. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.07.008 · Cited by 567
Consumer Mobile Health Apps: Current State, Barriers, and Future Directions
Kao, C., & Liebovitz, D. M. (2017) · PM&R · doi:10.1016/j.pmrj.2017.02.018 · Cited by 350
Morawski, K., Ghazinouri, R., Krumme, A., Lauffenburger, J. C., Lu, Z., Durfee, E., Oley, L., Lee, J., Mohta, N., Haff, N., et al. (2018) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2018.0447 · Cited by 333
Beyond Self-Tracking and Reminders: Designing Smartphone Apps That Support Habit Formation
Stawarz, K., Cox, A. L., & Blandford, A. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702230 · Cited by 237
Medication Adherence Apps: Review and Content Analysis
Ahmed, I., Ahmad, N. S., Ali, S., Ali, S., George, A., Saleem Danish, H., Uppal, E., Soo, J., Mobasheri, M. H., King, D., et al. (2018) · JMIR mHealth and uHealth · doi:10.2196/mhealth.6432 · Cited by 221
Metadata
- Authors
- Dayer, L., Heldenbrand, S., Anderson, P., Gubbins, P. O., & Martin, B. C.
- Venue
- Journal of the American Pharmacists Association
- Publisher
- Elsevier BV
- Published
- 2013-03
- Volume
- 53
- Issue
- 2
- Pages
- 172-181
- ISSN
- 1544-3191 (ISSN-L)
- OpenAlex
- W2032333769
- Cited by
- 473
- References
- 47
- FWCI
- 35.41
- Type
- journal article
- Language
- en
- Open access
- green
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