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      Development and Validation of an Instrument for Measuring Attitudes and Beliefs about Complementary and Alternative Medicine (CAM) Use among Cancer Patients

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          Abstract

          Despite cancer patients' extensive use of complementary and alternative medicine (CAM), validated instruments to measure attitudes, and beliefs predictive of CAM use are lacking. We aimed at developing and validating an instrument, attitudes and beliefs about CAM (ABCAM). The 15-item instrument was developed using the theory of planned behavior (TPB) as a framework. The literature review, qualitative interviews, expert content review, and cognitive interviews were used to develop the instrument, which was then administered to 317 outpatient oncology patients. The ABCAM was best represented as a 3-factor structure: expected benefits, perceived barriers, and subjective norms related to CAM use by cancer patients. These domains had Eigenvalues of 4.79, 2.37, and 1.43, and together explained over 57.2% of the variance. The 4-item expected benefits, 7-item perceived barriers, and 4-item subjective norms domain scores, each had an acceptable internal consistency (Cronbach's alpha) of 0.91, 0.76, and 0.75, respectively. As expected, CAM users had higher expected benefits, lower perceived barriers, and more positive subjective norms (all P < 0.001) than those who did not use CAM. Our study provides the initial evidence that the ABCAM instrument produced reliable and valid scores that measured attitudes and beliefs related to CAM use among cancer patients.

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          Why patients use alternative medicine: results of a national study.

          J A Astin (1998)
          Research both in the United States and abroad suggests that significant numbers of people are involved with various forms of alternative medicine. However, the reasons for such use are, at present, poorly understood. To investigate possible predictors of alternative health care use. Three primary hypotheses were tested. People seek out these alternatives because (1) they are dissatisfied in some way with conventional treatment; (2) they see alternative treatments as offering more personal autonomy and control over health care decisions; and (3) the alternatives are seen as more compatible with the patients' values, worldview, or beliefs regarding the nature and meaning of health and illness. Additional predictor variables explored included demographics and health status. A written survey examining use of alternative health care, health status, values, and attitudes toward conventional medicine. Multiple logistic regression analyses were used in an effort to identify predictors of alternative health care use. A total of 1035 individuals randomly selected from a panel who had agreed to participate in mail surveys and who live throughout the United States. Use of alternative medicine within the previous year. The response rate was 69%. The following variables emerged as predictors of alternative health care use: more education (odds ratio [OR], 1.2; 95% confidence interval [CI], 1.1-1.3); poorer health status (OR, 1.3; 95% CI, 1.1-1.5); a holistic orientation to health (OR, 1.4; 95% CI, 1.1-1.9); having had a transformational experience that changed the person's worldview (OR, 1 .8; 95% CI, 1 .3-2.5); any of the following health problems: anxiety (OR, 3.1; 95% CI, 1.6-6.0); back problems (OR, 2.3; 95% CI, 1 .7-3.2); chronic pain (OR, 2.0; 95% CI, 1.1 -3.5); urinarytract problems (OR, 2.2; 95% CI, 1.3-3.5); and classification in a cultural group identifiable by their commitment to environmentalism, commitment to feminism, and interest in spirituality and personal growth psychology (OR, 2.0; 95% CI, 1.4-2.7). Dissatisfaction with conventional medicine did not predict use of alternative medicine. Only 4.4% of those surveyed reported relying primarily on alternative therapies. Along with being more educated and reporting poorer health status, the majority of alternative medicine users appear to be doing so not so much as a result of being dissatisfied with conventional medicine but largely because they find these health care alternatives to be more congruent with their own values, beliefs, and philosophical orientations toward health and life.
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            The use of theory in health behavior research from 2000 to 2005: a systematic review.

            Theory-based health behavior change programs are thought to be more effective than those that do not use theory. No previous reviews have assessed the extent to which theory is used (that is, operationalized and tested) in empirical research. The purpose of this study was to describe theory use in recent health behavior literature and to assess the proportion of research that uses theory along a continuum from: informed by theory to applying, testing, or building theory. A sample of empirical research articles (n = 193) published in ten leading public health, medicine, and psychology journals from 2000 to 2005 was coded to determine whether and how theory was used. Of health behavior articles in the sample, 35.7% mentioned theory. The most-often-used theories were The Transtheoretical Model, Social Cognitive Theory, and Health Belief Model. Most theory use (68.1%) involved research that was informed by theory; 18% applied theory; 3.6% tested theory; and 9.4% sought to build theory. About one third of published health behavior research uses theory and a small proportion of those studies rigorously apply theory. Patterns of theory use are similar to reports from the mid-1990s. Behavioral researchers should strive to use theory more thoroughly by applying, testing, and building theories in order to move the field forward.
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              Psychometric considerations in evaluating health-related quality of life measures.

              How does one determine if a measure of health-related quality of life (HRQL) is adequate for clinical trials? Psychometric methods are frequently used to answer this question. What is psychometrics all about? In this paper we address these questions, discussing common psychometric evaluation procedures applied to HRQL measures. Specifically, we discuss issues regarding the evaluation of reliability and validity (including responsiveness).
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                Author and article information

                Journal
                Evid Based Complement Alternat Med
                Evid Based Complement Alternat Med
                ECAM
                Evidence-based Complementary and Alternative Medicine : eCAM
                Hindawi Publishing Corporation
                1741-427X
                1741-4288
                2012
                30 May 2012
                30 May 2012
                : 2012
                : 798098
                Affiliations
                1Department of Family Medicine and Community Health, University of Pennsylvania Health System, Philadelphia, PA 19104, USA
                2Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Health System, Philadelphia, PA 19104, USA
                3Abramson Cancer Center, University of Pennsylvania Health System, Philadelphia, PA 19104, USA
                4Department of Psychiatry, University of Pennsylvania Health System, Philadelphia, PA 19104, USA
                5Department of Medicine, University of Pennsylvania Health System, Philadelphia, PA 19104, USA
                Author notes

                Academic Editor: Beverley de Valois

                Article
                10.1155/2012/798098
                3369496
                22693532
                fa89333b-2435-48ef-96ab-123a3b3b6fbd
                Copyright © 2012 Jun J. Mao et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 31 December 2011
                : 25 March 2012
                : 27 March 2012
                Categories
                Research Article

                Complementary & Alternative medicine
                Complementary & Alternative medicine

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