PATTERNS AND PREDICTORS OF COMPLEMENTARY THERAPY USE IN THE U.S. CANCER POPULATION

2.50
Hdl Handle:
http://hdl.handle.net/10755/165243
Category:
Abstract
Type:
Presentation
Title:
PATTERNS AND PREDICTORS OF COMPLEMENTARY THERAPY USE IN THE U.S. CANCER POPULATION
Author(s):
Frantz, Diedra; Stommel, Manfred
Author Details:
Judith Fouladbakhsh, PhD APRN BC AHN-C, Assistant Professor, Wayne State University, Detroit, Michigan, USA, email: judif129@comcast.net; Manfred Stommel, PhD, Michigan State University, East Lansing, Michigan
Abstract:
Complementary and alternative medicine (CAM) therapies are often used with æmainstreamÆ medical treatments. Estimates of use by cancer survivors range from 7-64%. It is important for oncology nurses to understand factors influencing CAM use and implications for nursing care. This study aimed to determine patterns, predictors and purpose of use of CAM providers, practices and products in the U.S. cancer population in relationship to symptom management. The CAM Healthcare Model, an extension of the Behavioral Model for Health Services Use, guided the study. Predisposing, enabling and need-for-care factors were examined for ability to predict CAM use. A secondary analysis of the National Health Interview Survey (NHIS) using STATA 9.2 software for population estimation was conducted. The sample included all individuals reporting a cancer diagnosis in the NHIS (N=2262). Study participants were asked if they used any of the 22 CAM therapies listed in the Alternative Health Supplement of the NHIS. CAM therapies were categorized as provider services, practices or products for analysis. Dependent variables included: (a) overall use/non-use of at least one of the identified CAM therapies, (b) use/non-use of specific CAM categories and (c) purpose of use (treatment/health promotion). Independent variables included: Predisposing factors (gender, age, race, education, marital status), Enabling factors (income, health insurance, provider-contact), and Need factors (cancer site, symptoms, co-morbidity, health status). Binary and Multinomial Logistic Regression, the primary statistical models employed in the analysis, focused on between-subject differences in CAM use. A stepwise procedure was followed and potential predictor variables were excluded from the model if their p-value exceeded 0.10 Multivariate analysis has identified characteristics that distinguish CAM users from non-users in the U.S. cancer population, representing an estimated 14.3 million cancer survivors. Empirical findings confirm CAM use was more prevalent among female, middle-aged, white, and well-educated people; women were specifically more likely to use CAM practices than men. Higher income, private insurance, contact with nurse practitioners, reported pain and co-morbidity were strong predictors of CAM use by cancer survivors. CAM use was reported by 39% of all cancer survivors, highlighting the need for oncology nurses to assess CAM use by their patients.
Repository Posting Date:
27-Oct-2011
Date of Publication:
27-Oct-2011
Conference Date:
2007
Conference Name:
32nd Annual Oncology Nursing Society Congress
Conference Host:
Oncology Nursing Society
Conference Location:
Las Vegas, Nevada, 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.titlePATTERNS AND PREDICTORS OF COMPLEMENTARY THERAPY USE IN THE U.S. CANCER POPULATIONen_GB
dc.contributor.authorFrantz, Diedraen_US
dc.contributor.authorStommel, Manfreden_US
dc.author.detailsJudith Fouladbakhsh, PhD APRN BC AHN-C, Assistant Professor, Wayne State University, Detroit, Michigan, USA, email: judif129@comcast.net; Manfred Stommel, PhD, Michigan State University, East Lansing, Michiganen_US
dc.identifier.urihttp://hdl.handle.net/10755/165243-
dc.description.abstractComplementary and alternative medicine (CAM) therapies are often used with æmainstreamÆ medical treatments. Estimates of use by cancer survivors range from 7-64%. It is important for oncology nurses to understand factors influencing CAM use and implications for nursing care. This study aimed to determine patterns, predictors and purpose of use of CAM providers, practices and products in the U.S. cancer population in relationship to symptom management. The CAM Healthcare Model, an extension of the Behavioral Model for Health Services Use, guided the study. Predisposing, enabling and need-for-care factors were examined for ability to predict CAM use. A secondary analysis of the National Health Interview Survey (NHIS) using STATA 9.2 software for population estimation was conducted. The sample included all individuals reporting a cancer diagnosis in the NHIS (N=2262). Study participants were asked if they used any of the 22 CAM therapies listed in the Alternative Health Supplement of the NHIS. CAM therapies were categorized as provider services, practices or products for analysis. Dependent variables included: (a) overall use/non-use of at least one of the identified CAM therapies, (b) use/non-use of specific CAM categories and (c) purpose of use (treatment/health promotion). Independent variables included: Predisposing factors (gender, age, race, education, marital status), Enabling factors (income, health insurance, provider-contact), and Need factors (cancer site, symptoms, co-morbidity, health status). Binary and Multinomial Logistic Regression, the primary statistical models employed in the analysis, focused on between-subject differences in CAM use. A stepwise procedure was followed and potential predictor variables were excluded from the model if their p-value exceeded 0.10 Multivariate analysis has identified characteristics that distinguish CAM users from non-users in the U.S. cancer population, representing an estimated 14.3 million cancer survivors. Empirical findings confirm CAM use was more prevalent among female, middle-aged, white, and well-educated people; women were specifically more likely to use CAM practices than men. Higher income, private insurance, contact with nurse practitioners, reported pain and co-morbidity were strong predictors of CAM use by cancer survivors. CAM use was reported by 39% of all cancer survivors, highlighting the need for oncology nurses to assess CAM use by their patients.en_GB
dc.date.available2011-10-27T12:15:03Z-
dc.date.issued2011-10-27en_GB
dc.date.accessioned2011-10-27T12:15:03Z-
dc.conference.date2007en_US
dc.conference.name32nd Annual Oncology Nursing Society Congressen_US
dc.conference.hostOncology Nursing Societyen_US
dc.conference.locationLas Vegas, Nevada, 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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