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A social cognitive theory-based framework for monitoring medication adherence applied to endocrine therapy in breast cancer survivors
Open accessAbstract
Poor adherence to long-term therapies for chronic diseases, such as cancer, compromises effectiveness of treatment and increases the likelihood of disease progression, making medication adherence a critical issue in population health. While the field has documented many eers to adherence to medication, it has also come up with few efficacious solutions to medication adherence, indicating that new and innovative approaches are needed. In this paper, we evaluate medication-taking behaviors based on social cognitive theory (SCT), presenting patterns of adherence stratified across SCT constructs in 33 breast cancer survivors over an 8-month period. Findings indicate that medication adherence is a very personal experience influenced by many simultaneously interacting factors, and a deeper contextual understanding is needed to understand and develop interventions targeting non-adherence.
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Adherence to medications varies by age; younger patients appear to have better adherence than older patients.
“Adherence to medications also varies by age; younger patients appear to have better adherence than older patients.9”
From An Adaptable Framework for Factors Contributing to Medication Adherence: Results from a Systematic Review of 102 Conceptual Frameworks (2021) · cites this paper as [9]
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Medication Adherence: Its Importance in Cardiovascular Outcomes
Ho, P. M., Bryson, C. L., & Rumsfeld, J. S. (2009) · Circulation · doi:10.1161/circulationaha.108.768986 · Cited by 1,488
Murphy, C. C., Bartholomew, L. K., Carpentier, M. Y., Bluethmann, S. M., & Vernon, S. W. (2012) · Breast Cancer Research and Treatment · doi:10.1007/s10549-012-2114-5 · Cited by 708
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Peh, K. Q. E., Kwan, Y. H., Goh, H., Ramchandani, H., Phang, J. K., Lim, Z. Y., Loh, D. H. F., Østbye, T., Blalock, D. V., Yoon, S., et al. (2021) · Journal of General Internal Medicine · doi:10.1007/s11606-021-06648-1 · Cited by 151
Metadata
- Authors
- Boukhechba, M., Baee, S., Nobles, A. L., Gong, J., Wells, K., & Barnes, L. E.
- Affiliations
- University of Virginia (US)
- University of Maryland, Baltimore County (US)
- San Diego City College (US)
- Venue
- 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)
- Publisher
- IEEE
- Published
- 2018-03
- Volume
- 2018
- Pages
- 275-278
- ISSN
- 2641-3590 (ISSN-L)
- PMC
- PMC5983047
- OpenAlex
- W2796524931
- Cited by
- 10
- References
- 2
- Citations by year
- 2025: 2 · 2024: 2 · 2021: 2 · 2020: 2 · 2019: 1 · 2018: 1
- FWCI
- 9.75
- Type
- conference paper
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (R21CA161077)
- Topics
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Keywords
- medication adherence, social cognitive theory, breast cancer survivors, endocrine therapy, medication-taking behavior, non-compliance, adherence monitoring, chronic disease management, adherence interventions
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