The DOI matches its OpenAlex record; 36 of the 36 references it cites were found in a registry or an index.
Shared Decision Making and Medication Management in the Recovery Process
Abstract
Mental health professionals commonly conceptualize medication management for people with severe mental illness in terms of strategies to increase compliance or adherence. The authors argue that compliance is an inadequate construct because it fails to capture the dynamic complexity of autonomous clients who must navigate decisional conflicts in learning to manage disorders over the course of years or decades. Compliance is rooted in medical paternalism and is at odds with principles of person-centered care and evidence-based medicine. Using medication is an active process that involves complex decision making and a chance to work through decisional conflicts. It requires a partnership between two experts: the client and the practitioner. Shared decision making provides a model for them to assess a treatment's advantages and disadvantages within the context of recovering a life after a diagnosis of a major mental disorder.
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Cites
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Uses and abuses of recovery: implementing recovery-oriented practices in mental health systems
Slade, M., Amering, M., Farkas, M., Hamilton, B., O'Hagan, M., Panther, G., Perkins, R., Shepherd, G., Tse, S., & Whitley, R. (2014) · World Psychiatry · doi:10.1002/wps.20084 · Cited by 949
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Medication Adherence: A Review of the Literature and Implications for Clinical Practice
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Metadata
- Authors
- Deegan, P. E., & Drake, R. E.
- Venue
- Psychiatric Services
- Published
- 2006-11
- Volume
- 57
- Issue
- 11
- Pages
- 1636-1639
- ISSN
- 0022-1597 (ISSN-L)
- 1075-2730
- 1557-9700
- OpenAlex
- W2142572957
- Cited by
- 490
- References
- 36
- FWCI
- 45.12
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
