2.50
Hdl Handle:
http://hdl.handle.net/10755/165325
Category:
Abstract
Type:
Presentation
Title:
Symptom Clusters in Cancer Patients: Identification and Verification
Author(s):
Chen, M. L.; Tseng, H. C.
Author Details:
M. L. Chen, Chang Gung University, School of Nursing, Tao-Yuan, Tao-Yuan, Taiwan; H. C. Tseng
Abstract:
Cancer patients often experience multiple symptoms. Many symptoms have been reported to be correlated with each other. Whether there are underlying causes that clustering some of the symptoms together still unknown. Purpose: Using exploratory factor analysis approach, this study attempted to understand which cancer-related symptoms are clustered together and to test the conceptual meanings of the revealed symptom clusters. Theoretical/Scientific Framework: The middle-range theory of unpleasant symptoms was used to guide this study. It is conceptualized that multiple symptoms can occur together and intercorrelated. Methods: One hundred and fifty-one patients with various cancer diagnoses were recruited from a medical center located in northern Taiwan. The self-reported M.D. Anderson Symptom Inventory (MDASI) was used to assess patients¡¦ symptom severity (13 items) and symptom interference on daily functions (6 items). Patients' emotional status was measured by Hospital Anxiety and Depression Scale. Data Analysis: Symptom severity items were factorized using Principal-Axis Factoring method with oblique rotation. Only items with high inter-item correlations (r > 0.4) were included in factor analysis. Independent t test was applied to examine the expected differences in each symptom cluster's (factor) total scores between different known groups. Findings and Implications: A three-factor solution was adopted with 55% variance explained. Based on the items in each factor, the three factors were named as pain-related factor (pain, fatigue, sleep disturbance, lack of appetite, and drowsy), chemotherapy-related factor (nausea and vomiting), and emotion-related factor (distressed and sad). To further verify the naming, we found that patients with pain (versus without pain) had a significant higher total score in pain-related factor (t = -8.97, p < 0.001). Patients under chemotherapy (versus other treatment) demonstrated a significant higher total score in chemotherapy-related factor (t = -3.99, p < 0.001). Patients with anxiety or depression problems also had a significant higher total score in emotion-related factor (t = -8.43 for anxiety and -4.27 for depression, p < 0.001). Knowing the symptom clusters may help us understanding the plausible mechanism that aggregate symptoms and paying special attentions to manage the underlying problems. However the generalizability of the study findings may be limited due to insufficient items included in MDASI. Further studies using symptom assessment tools containing more comprehensive cancer-related items are needed.
Repository Posting Date:
27-Oct-2011
Date of Publication:
27-Oct-2011
Conference Date:
2005
Conference Name:
30th Annual Oncology Nursing Society Congress
Conference Host:
Oncology Nursing Society
Conference Location:
Orlando, Florida, USA
Note:
This is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.

Full metadata record

DC FieldValue Language
dc.type.categoryAbstracten_US
dc.typePresentationen_GB
dc.titleSymptom Clusters in Cancer Patients: Identification and Verificationen_GB
dc.contributor.authorChen, M. L.en_US
dc.contributor.authorTseng, H. C.en_US
dc.author.detailsM. L. Chen, Chang Gung University, School of Nursing, Tao-Yuan, Tao-Yuan, Taiwan; H. C. Tsengen_US
dc.identifier.urihttp://hdl.handle.net/10755/165325-
dc.description.abstractCancer patients often experience multiple symptoms. Many symptoms have been reported to be correlated with each other. Whether there are underlying causes that clustering some of the symptoms together still unknown. Purpose: Using exploratory factor analysis approach, this study attempted to understand which cancer-related symptoms are clustered together and to test the conceptual meanings of the revealed symptom clusters. Theoretical/Scientific Framework: The middle-range theory of unpleasant symptoms was used to guide this study. It is conceptualized that multiple symptoms can occur together and intercorrelated. Methods: One hundred and fifty-one patients with various cancer diagnoses were recruited from a medical center located in northern Taiwan. The self-reported M.D. Anderson Symptom Inventory (MDASI) was used to assess patients&iexcl;&brvbar; symptom severity (13 items) and symptom interference on daily functions (6 items). Patients' emotional status was measured by Hospital Anxiety and Depression Scale. Data Analysis: Symptom severity items were factorized using Principal-Axis Factoring method with oblique rotation. Only items with high inter-item correlations (r &gt; 0.4) were included in factor analysis. Independent t test was applied to examine the expected differences in each symptom cluster's (factor) total scores between different known groups. Findings and Implications: A three-factor solution was adopted with 55% variance explained. Based on the items in each factor, the three factors were named as pain-related factor (pain, fatigue, sleep disturbance, lack of appetite, and drowsy), chemotherapy-related factor (nausea and vomiting), and emotion-related factor (distressed and sad). To further verify the naming, we found that patients with pain (versus without pain) had a significant higher total score in pain-related factor (t = -8.97, p &lt; 0.001). Patients under chemotherapy (versus other treatment) demonstrated a significant higher total score in chemotherapy-related factor (t = -3.99, p &lt; 0.001). Patients with anxiety or depression problems also had a significant higher total score in emotion-related factor (t = -8.43 for anxiety and -4.27 for depression, p &lt; 0.001). Knowing the symptom clusters may help us understanding the plausible mechanism that aggregate symptoms and paying special attentions to manage the underlying problems. However the generalizability of the study findings may be limited due to insufficient items included in MDASI. Further studies using symptom assessment tools containing more comprehensive cancer-related items are needed.en_GB
dc.date.available2011-10-27T12:16:31Z-
dc.date.issued2011-10-27en_GB
dc.date.accessioned2011-10-27T12:16:31Z-
dc.conference.date2005en_US
dc.conference.name30th Annual Oncology Nursing Society Congressen_US
dc.conference.hostOncology Nursing Societyen_US
dc.conference.locationOrlando, Florida, USAen_US
dc.description.noteThis is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.-
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