Other Titles
Symposium: Practical interventions to improve adherence
Abstract
Session presented on Saturday, July 26, 2014:
Purpose: This is the second of a three part series on Medication Adherence in which the authors describe the continuum of adherence to non-adherence of medication usage.
Methods: Research articles through Medline and PubMed.
Results: The research review showed medication adherence and non-adherence can be categorized according to the following: patient demographic characteristics, patient psychological and behavioral characteristics, social factors, disease related factors, financial and other health system factors, patient-provider relationships, and treatment related factors.
Conclusion: The implications for advanced practice nurses and other prescribers is that it is important to evaluate the patient according to 'unique predictor' qualities in order to tailor responses and activities, thereby assuring the highest medication adherence possible.
Sigma Membership
Delta Psi at-Large
Type
Presentation
Format Type
Text-based Document
Study Design/Type
N/A
Research Approach
N/A
Keywords:
Medication Adherence, Medication Non-Adherence
Recommended Citation
Wheeler, Kathy, "Review of the predictors of medication non-adherence and adherence" (2014). INRC (Congress). 207.
https://www.sigmarepository.org/inrc/2014/presentations_2014/207
Conference Name
25th International Nursing Research Congress
Conference Host
Sigma Theta Tau International
Conference Location
Hong Kong
Conference Year
2014
Rights Holder
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Review Type
Abstract Review Only: Reviewed by Event Host
Acquisition
Proxy-submission
Review of the predictors of medication non-adherence and adherence
Hong Kong
Session presented on Saturday, July 26, 2014:
Purpose: This is the second of a three part series on Medication Adherence in which the authors describe the continuum of adherence to non-adherence of medication usage.
Methods: Research articles through Medline and PubMed.
Results: The research review showed medication adherence and non-adherence can be categorized according to the following: patient demographic characteristics, patient psychological and behavioral characteristics, social factors, disease related factors, financial and other health system factors, patient-provider relationships, and treatment related factors.
Conclusion: The implications for advanced practice nurses and other prescribers is that it is important to evaluate the patient according to 'unique predictor' qualities in order to tailor responses and activities, thereby assuring the highest medication adherence possible.