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Wiley InterScience | ||
![]() Journal of General Internal MedicineVolume 21 Issue 12, Pages 1317 - 1324 Published Online: 25 Sep 2006 © 2006 by the Society of General Internal Medicine. All rights reserved
Abstract | References | Full Text: HTML, PDF (Size: 126K) | Related Articles | Citation Tracking POPULATIONS AT RISK Beliefs About Asthma and Complementary and Alternative Medicine in Low-Income Inner-City African-American Adults Copyright © 2006 by the Society of General Internal Medicine. All rights reserved KEYWORDS asthma • complementary and alternative medicine (CAM) • African American • health beliefs • qualitative research ABSTRACTBACKGROUND: The gap in asthma prevalence, morbidity, and mortality is increasing in low-income racial/ethnic minority groups as compared with Caucasians. In order to address these disparities, alternative beliefs and behaviors need to be identified. OBJECTIVE: To identify causal models of asthma and the context of conventional prescription versus complementary and alternative medicine (CAM) use in low-income African-American (AA) adults with severe asthma. DESIGN: Qualitative analysis of 28 in-depth interviews. PARTICIPANTS: Twenty-six women and 2 men, aged 21 to 48, who self-identified as being AA, low-income, and an inner-city resident. APPROACH: Transcripts of semi-structured in-depth qualitative interviews were inductively analyzed using the constant comparison approach. RESULTS: Sixty-four percent of participants held biologically correct causal models of asthma although 100% reported the use of at least 1 CAM for asthma. Biologically based therapies, humoral balance, and prayer were the most popular CAM. While most subjects trusted prescription asthma medicine, there was a preference for integration of CAM with conventional asthma treatment. Complementary and alternative medicine was considered natural, effective, and potentially curative. Sixty-three percent of participants reported nonadherence to conventional therapies in the 2 weeks before the research interview. Neither CAM nor nonmedical causal models altered most individuals (93%) willingness to use prescription medication. Three possibly dangerous CAM were identified. CONCLUSIONS: Clinicians should be aware of patient-generated causal models of asthma and use of CAM in this population. Discussing patients' desire for an integrated approach to asthma management and involving social networks are 2 strategies that may enhance patient-provider partnerships and treatment fidelity. Manuscript received June 23, 2006 |