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Vol. 54, No. 11, November 2008, pp.1570 - 1571.e7 Copyright © 2008 by The College of Family Physicians of Canada
Classification of complementary and alternative medical practicesFamily physicians ratings of effectivenessChristopher J. Fries, PhDAssistant Professor in the Department of Sociology at the University of Manitoba in Winnipeg Correspondence: Dr Fries, Department of Sociology, 317 Isbister Bldg, University of Manitoba, Winnipeg, MB R3T 2N2; telephone 204 474-7871; fax 204 261-1216; e-mailCJ_Fries{at}umanitoba.ca As the study of complementary and alternative medicine (CAM) develops, several taxonomies have been suggested to classify these practices.1–5 The usual definition of CAM6—"all practices not regularly taught in biomedical schools"7–11— includes CAM practices that most physicians judge effective for limited purposes.12 The homogenization of CAM practices created by this definition has produced difficulties in classifying what is actually a diverse range of therapies. Offering an alternative to the original definition of CAM,7 which has received such widespread research currency, Eisenberg and colleagues suggest conceiving of CAM practices as running "along a spectrum that varies from more alternative to less alternative in relationship to existing medical school curricula, clinical training, and practice."8 The US Institute of Medicine concludes that "the reasons for defining modalities as CAM therapies are not only scientific but also political, social, and conceptual"13 and notes that "Given the lack of a consistent definition of CAM, some have tried to bring clarity to the situation by proposing classification systems that can be used to organize the field."14 Researchers classify therapies such as acupuncture, massage therapy, and chiropractic care as alternative medicine to ensure a sample that includes sufficient numbers of CAM users to allow for demographic statistical analysis. The inclusion of such therapies in a taxonomy of CAM is unfortunate, however, as the objective of behavioural science studies of CAM is to understand why people use therapies that are not accepted by physicians as being effective.12 In other words, a central policy and practice issue is to understand why patients use Eisenbergs "more alternative" practices. In order to understand why patients use unproven therapies against their physicians advice, it is necessary to first discern which CAM practices physicians are most likely to question in terms of effectiveness (ie, which are the "more alternative" practices). The label alternative medicine as applied to practices such as chiropractic care, acupuncture, and massage therapy is a result of health claims about the therapies made by some CAM practitioners and not physicians judgments about the therapies as typically used.12 Consequently, this research uses data from a survey of Alberta family physicians to suggest a taxonomy of CAM practices based on physicians assessments of the effectiveness of various CAM therapies. Internationally, there has been much research on physicians perceptions of CAM.15–18 However, whether this information can be generalized to Canada is questionable.19 In Canada, such work is of limited scope. As of 2008, there have been 6 published quantitative Canadian studies that have sought to address the issue of physicians assessment of and attitudes toward CAM.19–24 Despite Astin and colleagues call for studies with larger samples15 (after analysis of 19 studies from around the globe), to date no such study in the Canadian context has been published. In none of the Canadian studies did the sample size exceed 500, which is the minimum number of cases required for robust multivariate analysis.25 Further, the Canadian studies focus on a limited number of the more popular therapies. Goldszmidt and colleagues study of Quebec general practitioners considered chiropractic care, acupuncture, and hypnosis,20 while a study of general practitioners in Alberta and Ontario by Verhoef and Sutherland that same year looked at a wider, but still limited, range of practices—chiropractic care, acupuncture, hypnosis, faith healing, osteopathy, homeopathy, herbal medicine, reflexology, and naturopathy.19 More recently, Kaczorowski and colleagues study of family physicians and specialists practising in Hamilton, Ont, looked at chiropractic care, acupuncture, homeopathy, herbal medicine, and naturopathy.23 Focusing solely on the more popular practices obfuscates a central policy and practice issue regarding usage of CAM: Why would patients use a therapeutic practice if its effectiveness is rejected by physicians? In order to answer this question it is useful to draw a distinction based on the degree of effectiveness accorded by physicians to particular CAM therapies. The issue of effectiveness occupies a central role in policy debates surrounding these practices and academic investigation into use of CAM.26–31 Previous research has shown that patients view their physicians as important sources of information regarding the safety and effectiveness of CAM.32 Family physicians assessments of effectiveness provide the conceptual basis for a classification of CAM that remains focused on the issue of effectiveness while bracketing out cultural debates over the standards of effectiveness.33
The sampling frame for this study was drawn from a list of Certificants of the College of Family Physicians of Canada and general practitioners practising in Alberta provided by the College of Physicians and Surgeons of Alberta. In total there were 2880 family physicians practising in Alberta in June of 2004. A pilot of the self-administered questionnaire was sent to a random sample of 200 physicians. Based on the results of this pilot, a revised version of the questionnaire was mailed to each of the remaining 2680 physicians on the list. The questionnaire was designed to be as parsimonious as possible, focusing on the issues of effectiveness and general attitudes toward CAM, while collecting some sociodemographic information. Building on and updating earlier Canadian work on the subject, cited above, this research used a 10-point Likert scale and asked physicians to rate their "belief in the degree of therapeutic effectiveness" of 15 modalities of CAM:
These 15 modalities include the 14 contained in Statistics Canadas Canadian Community Health Survey (CCHS), with the grouped practices of "Homeopathy or Naturopathy" and "Feldenkrais or Alexander Technique" remaining as such to facilitate comparison with the CCHS data. Because the conceptual rationale for treating spiritual healing as distinct from religious healing was unclear, these 2 CAM modalities were also grouped. In order to assess the degree of conceptual overlap between acupuncture and TCM, TCM (which was not included in the CCHS) was added to the questionnaire. The representativeness of the sample of family physicians was assessed, and descriptive statistics of physicians awareness and ratings of the effectiveness of 15 modalities of CAM practice were analyzed. In order to explore whether or not the data supported the proposed classification of CAM practices into the categories of "accepted" and "rejected" based upon physicians perceptions of effectiveness, factor analysis was applied to the 15 CAM therapies family physicians were asked to rate. Factor analysis is a data reduction technique used to detect the underlying structure (dimensions) in the relationships among variables in a data set.34 Subsets of variables that group together in terms of their patterns of covariation are identified via linear combinations that maximize the amount of explained variance among the variables. The components or factors thus generated are thought to be representative of the underlying structure responsible for the observed correlations among variables. In keeping with the exploratory nature of this research, the principal components method of factor analysis was used to estimate the number of components (factors) that would extract the most variance from the ratings of the 15 modalities of CAM studied. Principal components analysis is not based on any theoretical assumptions regarding the dimensionality underlying the data structure. Factor analysis is an iterative approach in which the first factor explains the highest proportion of variance. This variance is then removed and a second linear combination that explains the maximum proportion of the remaining variance is sought, and so on.34 Although there are numerous approaches that can be used to assess the dimensionality underlying a set of variables,35 in order to determine the number of meaningful factors to retain, variables with eigenvalues of 1.0 or higher were identified and compared with an inspection of a scree plot for breaks among the eigenvalues.36 The rotated factor pattern from principal components analysis (orthogonally rotated with varimax rotation) was used to assess the groupings of the variables into subsets and the contribution of each variable to the identified factors. Variables that loaded highly (> 0.5) and uniquely on a single factor were judged to contribute to that factor and represent the degree of correlation between that variable and the factor. Data management and analysis were conducted using SPSS software, version 16.0. This research was approved by the Conjoint Faculties Research Ethics Board of the University of Calgary in Alberta.
Of the 2680 questionnaires, 36 were returned as undeliverable. An additional 11 questionnaires were returned incomplete. In total, 875 usable questionnaires were returned, for a response rate of 33%. This constitutes one-third of the total number of family physicians practising in Alberta at the time of the study. As shown in Table 1, the family physicians who answered the survey were broadly representative of the demographic characteristics of the total population of physicians practising in Alberta and, to a lesser extent, Canada. The sex distribution of the sample was representative of Alberta and Canadian family physicians. The number of years since graduation from medical school for physicians in the sample was fairly similar to the Alberta family physician population, but the sample had more recent graduates than the Canadian population of family physicians had. The sample had fair representation of Alberta family physicians by region of graduation but more foreign graduates than the Canadian population of family physicians had.
Table 2 shows that acupuncture, massage therapy, and chiropractic care were the practices with which the physicians were most familiar and to which they were most likely to assign effectiveness ratings. Less than a third of physicians knew of Feldenkrais or Alexander technique and Rolfing therapies.
As in previous Canadian studies,19,23 this survey found that physicians believed that acupuncture, massage therapy, and chiropractic care were the most effective CAM therapies; however, they only believed this to be true of these therapies when they were used for musculoskeletal indications or, in the case of acupuncture, pain management. The mean effectiveness ratings for these 3 practices fell by about half when used for other indications. Perhaps more surprising is the mean effectiveness rating of 5.1 for spiritual or religious healing. Herbal medicine and TCM had effectiveness ratings just below the scales midpoint. The lowest mean effectiveness scores were for chiropractic care for nonmusculoskeletal indications, reflexology, Rolfing, Feldenkrais or Alexander technique, and homeopathy or naturopathy. The mean score for acupuncture when used for indications other than pain was the same as that for TCM (4.5). The mean effectiveness score for acupuncture used for pain management, however, was the highest reported for any CAM practice (6.7).
The factor loadings reported in Table 3 show the degree of correlation between the individual CAM practices and the extracted factors. The varimax rotated principal components analysis produced a 2-factor solution that accounts for 57.7% of the variation in the physician ratings of the effectiveness of the 15 modalities of CAM practice. (Other methods of factor analysis, such as unweighted least squares and maximum likelihood, were tried and produced similar results. Here, only the principal components results are reported.) Seven CAM practices loaded heavily and uniquely on the first extracted factor conceptualized as "rejected," in which the most-rejected practices were chiropractic care for nonmusculoskeletal indications, homeopathy or naturopathy, massage therapy for nonmusculoskeletal indications, reflexology, herbal medicine, and finally, TCM and acupuncture for indications other than pain. This subset of variables has an eigenvalue of 3.76 and explains approximately 29% of the observed variance in the 15 CAM practices rated for effectiveness. Biofeedback, relaxation therapy, acupuncture for pain management, massage therapy for musculoskeletal indications, chiropractic care for musculoskeletal indications, and spiritual or religious healing loaded heavily and uniquely on the second extracted factor conceptualized as "accepted." This factor also accounts for approximately 29% of the variance in the physicians ratings of effectiveness. With Cronbach
Based on the above factor analysis, the mean effectiveness ratings of the 15 therapies, and the qualitative data collected from family physicians in this study (but not presented), the classification of CAM therapies in Canada depicted in Figure 1 is proposed.
Practices such as acupuncture, massage therapy, and chiropractic care often receive referrals from physicians and are subject to widespread and increasing government regulation. Even without referrals, the use of such therapies receives tacit approval from most physicians and people in general. In addition, provincial health insurance, workers compensation boards, and insurance companies usually finance (often with restrictions) accepted CAM treatments, many of which are subject to the ongoing scientific scrutiny of randomized controlled trials. The physicians studied here accorded high effectiveness to chiropractic care, acupuncture, massage therapy, relaxation therapy, biofeedback, and spiritual or religious healing when used in conjunction with biomedicine to supplement the treatment of a circumscribed set of indications. These indications tended to be chronic or psychosomatic—aspects of illness that often confound biomedical approaches. The same physicians attributed little effectiveness to CAM practices such as homeopathy or naturopathy, Feldenkrais or Alexander technique, Rolfing, herbal medicine, TCM, and reflexology. The factor analysis in this study revealed an underlying dimensionality to physicians effectiveness ratings of the various CAM practices that supports this classification scheme. Yet, because making the distinction between accepted and rejected practices is something like "hitting a moving target," this classification represents a shifting continuum; any effort to classify therapies into accepted or rejected categories is time and context specific. As symbolized by the 2-way arrow in Figure 1, with changes in context it is possible that particular CAM practices will shift position in this classification scheme.
Limitations Second, because it focused on physicians broad assessment of the effectiveness of a range of CAM practices, the survey instrument did not collect data concerning the specific medical indications for which family physicians either recommended CAM therapies or felt there was some effectiveness. There is emerging evidence15 that physicians do not always know much about the effectiveness of particular CAM treatments and that, in many ways, their therapeutic decisions regarding CAM might be centred more on a concern for safety than issues of effectiveness. Further research is required to address these important issues. Third, relying upon the categories of CAM practices derived from Statistics Canadas CCHS in order to facilitate linkage with government population health data produced some ambiguities in the analysis. The CCHS groups together conceptually distinct therapies, such as homeopathy with naturopathy and Feldenkrais with Alexander technique, and omits other therapies, such as TCM and Ayurveda. In future research, the list of CAM therapies included in Statistics Canada surveys will require substantial conceptual clarification and updating.
Conclusion
Competing interests None declared *Full text is available in English at www.cfp.ca. This article has been peer reviewed.
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