Document Detail


Building dynamic models and theories to advance the science of symptom management research.
MedLine Citation:
PMID:  20423447     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
AIM: This paper is a description, comparison, and critique of two models and two theories used to guide symptom management research, and a proposal of directions for new theory or model development. BACKGROUND: Symptom management research has undergone a paradigmatic shift to include symptom clusters, longitudinal studies that examine symptom trajectories, and the effects of interventions on patient outcomes. Models and theories are used to guide descriptive and intervention research. Over the past 15 years, four conceptual models or theories (i.e. Theory of Symptom Management, the Theory of Unpleasant Symptoms, the Symptoms Experience Model and the Symptoms Experience in Time Model) were used in a variety of symptom management studies. DATA SOURCES: Literature searches were performed in Medline and the Cumulative Index of Nursing and Allied Health Literature between 1990 and 2008 for models and theories that guide symptom management research. Related papers and book chapters were used as supporting documentation. DISCUSSION: Comparison and critique of the models and theories revealed important gaps including lack of consideration of symptom clusters, failure to incorporate temporal aspects of the symptom experience and failure to incorporate the impact of interventions on patient outcomes. CONCLUSION: New models and theories should incorporate current trends in symptom management research, capture the dynamic nature of symptoms and incorporate concepts that will facilitate transdisciplinary research in symptom management. Researchers and clinicians need to build more expansive and dynamic symptom management models and theories that parallel advances in symptom research and practice.
Authors:
Jeannine M Brant; Susan Beck; Christine Miaskowski
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Review    
Journal Detail:
Title:  Journal of advanced nursing     Volume:  66     ISSN:  1365-2648     ISO Abbreviation:  J Adv Nurs     Publication Date:  2010 Jan 
Date Detail:
Created Date:  2010-04-28     Completed Date:  2010-07-09     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7609811     Medline TA:  J Adv Nurs     Country:  England    
Other Details:
Languages:  eng     Pagination:  228-40     Citation Subset:  IM; N    
Affiliation:
Billings Clinic Cancer Center, Billings, Montana, USA. jeannine.brant@bresnan.net
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MeSH Terms
Descriptor/Qualifier:
Holistic Nursing / methods*
Humans
Models, Nursing*
Models, Theoretical*
Grant Support
ID/Acronym/Agency:
1R25CA93831-01/CA/NCI NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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