Agents of change: how do complementary and alternative medicine providers play a role in health behavior change?

BACKGROUND: Recent investigations indicate that complementary and alternative medicine (CAM) use may be conducive to health behavior change. OBJECTIVE: The goal of this study was to investigate how this change occurs. METHODS: Using Social Cognitive Theory and Self-determination Theory as guiding frameworks, we surveyed a convenience sample of 216 CAM consumers abouttheir CAM therapy and iors and conducted focus groups with 36 CAM consumers. RESULTS: Consumers reported encouragement from providers and improved energy resulting from treatments as reasons for making health behavior changes. Multivariate analysis showed that increased odds of self-reported dietary change were significantly associated with increasing body awareness as a result of therapy, endorsing the statement that sustained improvement for their health conditions required self-care, using an acupuncturist, and being 44 years or younger. Comparable results were found for exercise change, except using an acupuncturist was a significant negative predictor and age was not significant. Focus group findings echoed these themes. CONCLUSION: This initial investigation into how CAM providers may play a role in health behavior change suggests that provider support, increased responsibility for one's health, and the CAM treatments themselves contribute to behavior change, although additional research in this area is warranted.

Development and validation of an instrument to measure resources and support for chronic illness self-management: a model using diabetes.

PURPOSE: Few comprehensive and practical instruments exist to measure the receipt of self-management support for chronic illness. An instrument was developed to measure resources and support for self-management (RSSM) for the survey component of the evaluation of the Robert Wood Johnson Foundation's Diabetes Initiative. It includes items to measure an ecological range of RSSM. This article describes the development and validation of the instrument, focusing on individuals' reported access to RSSM from providers and from nonclinical, social, and community sources. METHODS: Cross-sectional analyses of the second wave of a survey of participants in the Diabetes Initiative (68% response rate, n = 957) were used. RESULTS: Confirmatory factor analyses supported grouping the 17 items into 5 subscales, measuring key aspects of RSSM: individualized assessment, collaborative goal setting, enhancing skills, ongoing follow-up and support, and community resources (comparative fit index = 0.97, Tucker-Lewis fit index = 0.99, and root means square error of approximation = 0.06). The overall scale and 5 subscales were internally consistent (Cronbach alpha >or= .70) and were significantly, positively related to diabetes self-management behaviors, supporting their construct validity. CONCLUSIONS: This instrument shows promise for measuring RSSM. Although it was developed for diabetes programs, its ecological orientation and link to the broad framework of chronic care suggest broader application.

Health information styles among participants in a prostate cancer screening informed decision-making intervention.

The purpose of this study was to assess the usefulness of a health information styles segmentation strategy in understanding audience subgroups. We examined the health information styles of men participating in a prostate cancer screening informed decision-making (IDM) intervention and assessed intervention effects on men with distinct health information styles. We classified participants into three health information style groups based on their independence in health decision making (independent versus doctor dependent) and engagement in health enhancement (active versus passive): independent active (IA), doctor-dependent active (DDA) and passive. We developed profiles of men in these groups: IAs tended to be white and more highly educated and to have greater baseline prostate cancer knowledge; DDAs were older, less healthy and more likely to have visited a doctor in the past year and passives tended to be younger, not to have had a recent prostate-specific antigen test and to have lower self-efficacy related to communication with doctors and less positive interactions with doctors. All groups significantly increased their prostate cancer knowledge after the intervention, but passives exhibited the greatest increase in knowledge at a 6-month follow-up. The health information styles segmentation strategy used in this study offers a viable framework for segmenting audiences.