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A Survey of Complementary and Conventional Medicine Use Patterns in the Veteran Population (CACMAS)

This study has been completed.
Sponsor:
Information provided by (Responsible Party):
VA Eastern Colorado Health Care System
ClinicalTrials.gov Identifier:
NCT01502475
First received: December 28, 2011
Last updated: November 25, 2014
Last verified: July 2012

December 28, 2011
November 25, 2014
November 2011
November 2014   (final data collection date for primary outcome measure)
Conventional Medicine Attitudes Scale (CACMAS) [ Time Frame: One time ] [ Designated as safety issue: No ]
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Complete list of historical versions of study NCT01502475 on ClinicalTrials.gov Archive Site
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A Survey of Complementary and Conventional Medicine Use Patterns in the Veteran Population
A Survey of Complementary and Conventional Medicine Use Patterns in the Veteran Population

In this protocol, the investigators proposed to assess the Complementary Alternative Medicine (CAM) usage patterns in a Veteran population using a CAM survey developed by Dr. Hernandez and colleagues. This survey, the Complementary, Alternative and Conventional Medicines Attitudes Scale (CACMAS), is a brief, self-report questionnaire that assesses medical use patterns, as well as attitudes about medical treatment and the relationship among these. The CACMAS will assess the potential role of individual beliefs and attitudes towards complementary and conventional medicine usage patterns, and possibly indicate how this scale might be used to predict optimal treatment offerings for a particular population given attitudes about medical treatments.

The use of complementary and alternative medicine (CAM) in the United States has seen a steady and steep rise over the past two decades. A national survey of over 31,000 adults found that 36% of respondents had used CAM therapies in the last month, and this estimate increased to 62% when prayer for health reasons was included. Second, this same survey showed that CAM is often used to treat symptoms and illnesses associated with stress such as depression, anxiety, back and neck pain, and gastrointestinal disorders. Finally, many individuals experiencing high levels of stress lack access to conventional medicine due to lack of medical insurance, possibly increasing the attractiveness of CAM for these individuals. This ongoing systematic characterization of CAM usage patterns in civilian populations has not been mirrored in active military and military Veteran populations across the United States. Data from the less than handful of studies that have been conducted thus far, suggest that CAM usage patterns in military and military Veteran populations are influenced by demographics and certain medical conditions, as well as dissatisfaction with certain aspects of conventional care. While there appears to be some similarity between civilian and non-civilians populations, there remains much to be known in the latter population.

Observational
Observational Model: Case-Only
Time Perspective: Cross-Sectional
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Non-Probability Sample

A range of Veterans eligible to, or seeking care, from a Veterans Affairs healthcare setting.

  • Alternative Medicine
  • Attitudes
  • Beliefs
  • Veterans
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Veteran Attitudes toward CAM
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*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Completed
97
November 2014
November 2014   (final data collection date for primary outcome measure)

Inclusion Criteria:

  • Between ages of 18 and 89
  • Currently eligible or receiving health care at a VA Medical Center

Exclusion Criteria:

  • Inability to provide informed consent
  • Inability to answer comprehension questions
Both
18 Years to 89 Years
Yes
Contact information is only displayed when the study is recruiting subjects
United States
 
NCT01502475
11-1086
No
VA Eastern Colorado Health Care System
VA Eastern Colorado Health Care System
Not Provided
Principal Investigator: Lisa Brenner, PhD VA Eastern Colorado Health Care System
VA Eastern Colorado Health Care System
July 2012

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP