5 research outputs found

    When one door closes, another door opens: physician availability and motivations to consult complementary and alternative medicine providers.

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    The aim of this study was to examine the attitudes, behaviours, and intentions to consult complementary and alternative medicine (CAM) providers, of health-care consumers living in a region with low physician availability. A survey was completed by a convenience sample of 235 CAM clients and nonconsumers recruited from an underserved urban centre in Canada. Nearly half had experienced difficulties getting an appointment with a physician when needed, and those who had experienced difficulties were more dissatisfied with conventional health care. Most participants (85.1%) indicated that they would consider consulting a CAM provider should they have difficulty getting an appointment with a physician in the future, including nearly 60% of the CAM nonconsumers. Participants who had more experience with CAM, greater perceived control over their symptoms, and were dissatisfied with conventional health care, were more likely to express intentions to use CAM should they experience access difficulties in the future. By situating the motivations for CAM within the context of physician availability our findings highlight the importance of geographical context, or place, for understanding attitudes towards CAM and its utilisation

    Personality and Consultations with Complementary and Alternative Medicine Practitioners: A Five-Factor Model Investigation of the Degree of Use and Motives

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    Objectives: As interest in and use of complementary and alternative medicine (CAM) providers continues to grow, it is important to understand which characteristics incline people to experiment with and become frequent consumers of CAM practitioners. The purpose of this study was to examine how personality, as assessed by the five-factor model, was related to the breadth, frequency, and types of provider-based CAM use. Relationships between the personality factors (Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism) and motives for consulting CAM providers were also explored. Methods: A convenience sample of 184 current CAM clients recruited through the offices of 12 conventional medicine and 17 CAM practitioners completed a survey package including measures of health status, CAM use, personality, and motivations for using CAM. Results: Only Openness and Agreeableness were consistently linked to different dimensions of CAM use, with each associated with consultations with CAM practitioners, and homeopaths and naturopaths in particular. After controlling for sociodemographic and health status variables in the stepwise multiple regressions, Openness was associated with the variety of CAM providers tried, whereas Agreeableness was linked to both the breadth and frequency of CAM consultations. Holistic and proactive health motivations were associated with both personality factors, and Agreeableness was also associated with motives reflecting a desire for shared decision-making. Conclusions: Findings indicate that individuals who are open and agreeable, as described by the five-factor model of personality, consult CAM practitioners to a greater extent. The motives involved suggest a congruency between CAM and their own perspectives regarding health and patient–provider interactions, which may have implications for understanding treatment adherence and outcomes

    Consumer decision factors for initial and long-term use of complementary and alternative medicine

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    Guided by the conceptual framework of the consumer decision-making model, the present study compared the factors associated with initial and long-term use of complementary and alternative medicine (CAM) providers. A survey was completed by 239 people recruited from the offices of physicians and CAM practitioners. Conventional medicine clients (n = 54), new or infrequent clients (n = 73), and established CAM clients (n = 112) were compared to identify the decision factors for initial and long-term CAM use. Consistent with the components of this model, we found support for the roles of external influences (age, social recommendations), decision process factors (symptom severity, egalitarian provider preference), and post-decision factors (dissatisfaction with conventional care) depending on whether the pattern of CAM use was new or infrequent or established. Overall, this study provides preliminary support for the utility of the consumer decision-making model as an integrative framework for understanding the roles of correlates of CAM use. © SAGE Publications, Inc. 2008

    Disparities among Minority Women with Breast Cancer Living in Impoverished Areas of California

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    Background: Interaction effects of poverty and health care insurance coverage on overall survival rates of breast cancer among women of color and non-Hispanic white women were explored. Methods: We analyzed California registry data for 2,024 women of color (black, Hispanic, Asian, Pacific Islander, American Indian, or other ethnicity) and 4,276 non-Hispanic white women (Anglo-European ancestries and no Hispanic-Latin ethnic backgrounds) diagnosed with breast cancer between the years 1996 and 2000 who were then followed until 2011. The 2000 US census categorized rates of neighborhood poverty. Health care insurance coverage was either private, Medicare, Medicaid, or none. Cox regression was used to model rates of survival. Results: A 3-way interaction between ethnicity, health care insurance coverage, and poverty was observed. Women of color inadequately insured and living in poor or near-poor neighborhoods in California were the most disadvantaged. Women of color adequately insured and who lived in such neighborhoods in California were also disadvantaged. The incomes of such women of color were typically lower than the incomes of non-Hispanic white women. Conclusions: Women of color with or without insurance coverage are disadvantaged in poor and near-poor neighborhoods of California. Such women may be less able to bare the indirect, direct, or uncovered costs of health care for breast cancer treatment
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