Complementary and conventional medicine: a concept map

Background Despite the substantive literature from survey research that has accumulated on complementary and alternative medicine (CAM) in the United States and elsewhere, very little research has been done to assess conceptual domains that CAM and conventional providers would emphasize in CAM survey studies. The objective of this study is to describe and interpret the results of concept mapping with conventional and CAM practitioners from a variety of backgrounds on the topic of CAM. Methods Concept mapping, including free sorts, ratings, and multidimensional scaling was used to organize conceptual domains relevant to CAM into a visual "cluster map." The panel consisted of CAM providers, conventional providers, and university faculty, and was convened to help formulate conceptual domains to guide the development of a CAM survey for use with United States military veterans. Results Eight conceptual clusters were identified: 1) Self-assessment, Self-care, and Quality of Life; 2) Health Status, Health Behaviors; 3) Self-assessment of Health; 4) Practical/Economic/ Environmental Concerns; 5) Needs Assessment; 6) CAM vs. Conventional Medicine; 7) Knowledge of CAM; and 8) Experience with CAM. The clusters suggest panelists saw interactions between CAM and conventional medicine as a critical component of the current medical landscape. Conclusions Concept mapping provided insight into how CAM and conventional providers view the domain of health care, and was shown to be a useful tool in the formulation of CAM-related conceptual domains.


Background
There is an increasing amount of research on the use of complementary and alternative medicine (CAM) in the United States [1][2][3][4][5][6][7], Canada [8][9][10], and Europe [11][12][13][14]. In general, these studies employ survey research approaches to determine aspects of CAM use, such as prevalence rates, costs, patterns of and trends in use [2,4,6,9,10,14], reasons for CAM use [1,7], social-psychological factors and attitudes associated with CAM use [11,12], as well as comparisons of CAM users and nonusers [3,5,8]. Wootton and Sparber [15] provided an extensive overview of trends and demographic groups relevant to CAM survey research. In addition to several of the above-cited studies, information on CAM use in special groups, such as children and ethnic minorities, have also been described [15]. Despite the substantive literature from survey research that has accumulated on CAM in the United States and elsewhere, however, very little research has been done on conventional and CAM providers' perspectives on CAM, or the inclusion of these perspectives in the development of CAM surveys.
Development of survey questionnaires is often based on data gathered through inductive qualitative methods [16][17][18][19], and involves such procedures as items and scoring [20,21]. One qualitative approach for use in the development of surveys is that of focus groups [19]. Focus groups can elucidate points of view, provide unique insights regarding preferences for health care, quality of care, or other factors in the delivery of health care. For example, twelve focus groups were conducted with veterans and their significant others, who used or were interested in CAM, during Phase 1 of the current study. Thematic analysis of the focus groups oriented researchers to veterans' understanding of the relationship between CAM and conventional medicine [7]. Phase 2 of the study consists of the concept mapping process and interpretation presented in this paper. Phase 3 will result in the construction of a CAM survey instrument containing items from the focus groups and concept mapping process that will be validated for use with United States military veterans.
Concept mapping, another qualitative method, gathers input from panel members in the form of list sorting and rating tasks, which produces a multidimensional scaling and cluster analysis that is then interpreted by the group [22][23][24]. The resulting map shows individual statements in two-dimensional (x, y) space with similar statements located nearer each other, and displays the ways in which statements are grouped into clusters that partition the space on the map. Participants are led through a structured interpretation session to assist them in understanding the maps, and labeling them in a meaningful way.
Traditionally, the concept mapping process has been utilized by businesses, organizations, and research teams to build, from the ground up, a visual image, or map, of important concepts that can be used to give direction to an undertaking [23,25,26]. Concept mapping is seeing more widespread use, and has been applied to diverse aspects of health care, such as assessing chronic low back pain sufferers [27], quality of life among persons with chronic mental health problems [28], and the health care preferences of elderly patients [29]. The intent of this study is to apply the concept mapping process in address-ing substantive issues in CAM from conventional and CAM provider perspectives, and provide an analysis and interpretation of the data produced. The conceptual domains derived from the map will be used to provide direction for the construction of a CAM survey to be used with U.S. military veterans.

Panelists
Panelists for the concept mapping process were chosen based on the need to sample a wide variety of backgrounds rather than demographics. Three groups were represented: SAVAHCS conventional providers (n = 11); community-based CAM providers (n = 11); and University of Arizona faculty with expertise in CAM and/or CAM research (n = 4). Panelists reflected expertise from a broad variety of health care backgrounds. The study was based at the Southern Arizona Veterans Affairs Health Care Service (SAVAHCS) in Tucson, Arizona, and was reviewed and approved by the SAVAHCS Research and Development Committee, and the University of Arizona Institutional Review Board. Subjects gave written informed consent for their participation.

SAVAHCS panelists
An effort was made to provide for diversity within as well as between the groups of panelists. Panelists recruited from SAVAHCS providers came from a range of sub-specialties, including geriatrics, hospice, pharmacy, clinical dietetics, and internal medicine. A variety of qualifications were represented, including 3 physicians (MD), 4 nurse practitioners (NP), 1 registered nurse (RN), 1 registered pharmacist (RPh), 1 registered dietitian (RD), and 1 doctor of pharmacy (PharmD). A few of the SAVAHCS providers were familiar with some CAM modalities, such as nutritional and herbal supplements, reflexology, and guided imagery. In general, however, the SAVAHCS providers practiced conventional medicine within a conventional medical institution. All of the providers had worked at the SAVAHCS for at least three years.

CAM panelists
Panelists recruited from CAM practitioners included 2 licensed acupuncturists (LiAC), 1 physician (MD) specializing in functional medicine, 1 RN Tai Chi Master and coordinator of a Dean Ornish Cardiac Reversal program, 1 Arizona licensed osteopath and homeopath (DO, MD(H)), who practiced classical homeopathic prescribing, 1 chiropractor/naturopath (DC/ND), 1 dietitian (RD/ MA in Psychology) who was a Jon Kabat-Zinn trained Mindfulness Meditation group leader, 1 naturopath (ND), 1 psychologist (Ph.D.) with expertise in neurotherapy, 1 licensed massage therapist (LMT), and 1 yoga master. All CAM practitioners were in private practice and each one had at least five years of experience in their area(s) of expertise.

University faculty panelists
Panelists recruited from University of Arizona faculty consisted of a professor of Pharmacy Sciences (Ph.D) versed in pharmaco-economics, an RN/MSN in the College of Nursing with a Ph.D. in anthropology, a psychologist (Ph.D.) with expertise in energy medicine, and an administrator for the Program in Integrative Medicine (MD). Trochim [30] first described the concept mapping process used in this study. Concept mapping consists of threestages: brainstorming; rating and card sorting; and interpretation of the map. While all three stages may be done in person, in this study the first two stages were done by mail due to participants' busy schedules. All concept mapping analyses were accomplished using The Concept System © (Version 1.75, Concept Systems Incorporated, Ithaca, NY).

Brainstorming
Participants were instructed to give as many endings as possible to the "brainstorming" prompt, "One thing we should ask in a survey of SAVAHCS patients regarding complementary and alternative medicine is…". This phrasing functioned to elicit well-defined and grammatically consistent answers. Ample blank lines were provided for responses. Twenty-four of 26 participants returned this portion of the exercise, with responses numbering from 5 to 31 (average 15.2). The two participants who did not return this part of the exercise were from the academic group. Duplicate statements were eliminated and the final master list consisted of 121 statements.
During the brainstorming component of concept mapping, steps were taken to ensure validity and reliability of data [19]. In order to assure saturation of issues among the brainstormed ideas, additional responses to the prompt were generated based on concerns expressed by focus group members in Phase 1 of this study. Two of the authors (CMB, KWK), who co-facilitated the focus groups, acted as proxies for focus group members. The statements generated from focus group transcripts were checked for redundancy with the practitioner-generated list. After eliminating redundant statements between focus group and provider lists, a total of 44 new statements were combined with the practitioner-generated statements for a total of 165 statements.
Rating and card sorting Stage 2 of the concept mapping process allowed the panel to establish collectively a smaller number of more inclusive categories for the statements that were generated. To do this, panel members were asked to rate the importance of each statement from the master list, then perform a "card sort" to provide "similarity data." Importance ratings used a five-point Likert scale (1 = "minimally important" to 5 = "extremely important"). If asked to define "important," panelists were told that it was the weight the research team should give that statement when considering what questions to ask on a CAM survey questionnaire. Twenty-five of 26 panelists returned the rating exercise (one SAVAHCS panelist did not return the rating sheet).
Each of the 165 statements was also printed on 2.25-inch × 4.25-inch cards. Panelists were asked to perform a card sort, sorting the statements into categories. Panelists were instructed to organize the cards into as many categories as they wanted (more than one and less than the total number of the cards), using any criteria they wished. Panelists then wrote a descriptive label for each pile. Twentyfive of 26 panelists returned the card sort task (one University of Arizona panelist did not return the card sort). These activities provided the research team with some insights into the way CAM and conventional providers think about CAM.

Data analysis
The initial analysis of the Concept System © software manipulation of this data was a similarity matrix that contained numerical representations of how similar the group judged any two statements to be. Briefly, a similarity matrix was constructed for each participant with 165 rows and 165 columns, one for each brainstorming statement. For any two statements, if that participant sorted them in separate piles, the cell for those two statements contained a "0." If sorted in the same pile, that cell contained a "1." Next it calculated a "group similarity table." This also has as many rows and columns as there are statements, and it contained a summation of the similarity data for all participants. In this table, the higher the number in a cell, the more times participants sorted together the two cards corresponding to that cell, thus the more similar the group as a whole judged those two statements.
The program used this similarity data to perform a multidimensional scaling (MDS), which created a two-dimensional (x, y) plot of the 165 points (for the 165 statements). The plot represented the similarity between each statement as a physical distance. The result was a two-dimensional "map" of the points that represents the best approximation of the similarity data. Theoretically, the output can be in any number of dimensions, but for ease of representation, the software uses two. Statements judged to be similar to each other were positioned closer to each other on the map (Figure 1). The usual statistic that is reported in MDS analyses to indicate the goodness of fit of the two-dimensional configuration to the original similarity matrix is called the Stress Value. A lower stress value indicates a better fit. In a study of the reliability of concept mapping [31], the average Stress Value across 33 projects was .285 with a range from .155 to .352. The Stress Value in this analysis was .268.
Statements often form clusters on the map that can be taken to have a common theme. Identification of these themes can help to categorize priorities -in this case, to arrive at broad categories of questions that should be included in the development of a CAM survey of military veterans. However, on a point map, it is difficult for participants to separate clusters visually. Therefore, a hierarchical cluster analysis was used to partition the 165 statements displayed in Figure 1. The result is a cluster map on which each statement is within a polygonal cluster of similar statements. The software calculates these clusters by considering each statement to be its own cluster. It then combines "nearby" clusters until the number of clusters remaining reaches a preset (but adjustable) number. Calculations are based on the X-Y coordinate data from the MDS rather than from the original similarity matrix. Figure 2 shows clusters with more "layers" containing statements that, on average, had been judged more "important" via the statement rating exercise. This is the "concept map" that was interpreted and labeled by the panelists.

Interpretation of the cluster map
The final stage of the concept mapping process was a panel meeting for the purpose of interpreting the cluster map. The meeting was held at a hotel conference room in Tucson, AZ and lasted approximately three hours. Twentytwo of the 26 panelists attended the meeting (9 of 11 SAVAHCS providers, 9 of 11 CAM providers, and the 4 Point map derived from the concept mapping process Figure 1 Point map derived from the concept mapping process. University of Arizona faculty). Panelist attendees were provided with dinner and reimbursed $200 for their time. During dinner, panelists heard a short presentation on the rationale and method for the study. After dinner, panelists were presented with the cluster-rating map ( Figure 2). Their task was to interpret and label the map clusters, and to discuss their meaning and importance with the research team. To facilitate this, the concept map was projected onto a screen using a computer image projector. The Concept System software allowed for the on-screen identification of the statement that corresponded to any particular point on the map. It also allowed panelists to see the card pile labels they had used that best corresponded with the clusters on the map.
Panel members were also given a printout of the statements contained in each cluster, with those statements listed first that were most representative of that cluster. Statements were ordered by "bridging value," which is an expression of how often statements were sorted together with statements in other clusters. Statements with lower bridging values were less often sorted with statements from outside that cluster; therefore, they are assumed to be more central to the interpretation of their own cluster.

Number of clusters, cluster labels, and bridging values
The first activity was to determine the final number of clusters. The default number of clusters was eight. The panel tried reducing and enlarging the number of clusters. Reducing the number seemed to lump too many distinct concepts together, while increasing the number seemed to split clusters that seemed reasonably coherent. Panel consensus remained at eight clusters. Members of this large Cluster rating map derived from the concept mapping process Figure 2 Cluster rating map derived from the concept mapping process. and diverse a panel, however, may have thought that reaching consensus at eight clusters might be faster than doing so for nine or more. After some debate, the clusters were assigned the following eight labels: 1) Self-assessment, Self-care, and Quality of Life; 2) Health Status, Health Behaviors; 3) Self-assessment of Health; 4) Practical/ Economic/Environmental Concerns; 5) Needs Assessment; 6) CAM vs. Conventional Medicine; 7) Knowledge of CAM; and 8) Experience with CAM.
"Bridging values," ranging from 0 to 1, tell how often a statement was sorted with others that are close to or further away from it on the map. Lower bridging values indicate a "tighter" relationship with other statements in the cluster. Clusters 1,2,3,6,7, and 8 had low bridging values (.12-.24). Statements in Clusters 4 and 5 had high bridging values (.60 and .54 respectively), suggesting less agreement in terms of the way statements were sorted.

Description of clusters
Cluster 1: Self-assessment, self-care, and quality of life Like all statements in the top portion of the map, Cluster 1 asked for information or attitudes that SAVAHCS patients could give about themselves (Table 1). These statements focused on patients' qualitative appraisals of mood, stress, and the role spirituality and relationships played in their lives. After lengthy discussion, the panel could not come to an agreement on a single label. Panelists settled on the composite "Self-assessment, Self-care, and Quality of life." Conventional providers indicated that statements in this cluster referred to patient self-care or self-assessment, making a distinction between provider versus patient responsibility. Conventional providers seemed to see the areas covered in Cluster 1 as the pervue of patient responsibility (ergo, "self-care"). Alternatively, while the emphasis was on self-assessment, CAM providers seem to emphasize what was being evaluated (a holistic set of quality of life issues) rather than who was responsible for the evaluation. The importance ratings averaged across statements in Cluster 1 suggested that panel members rated this cluster as more important than some other clusters.

Cluster 2: Health status, health behaviors
The label for Cluster 2 resulted less from disagreement among group members than from the inability to find a single phrase that would encompass both a status questions, such as "whether they have had a recent blood test" (114) and a behavior question, such as "how much tobacco they use" (153). Similar to Cluster 1, the statements in Cluster 2 asked for information that patients could assess about themselves (Table 2). In contrast to Cluster 1, Cluster 2 seemed to focus on more quantitative or factual appraisals of risk factors, medical conditions, demography, preventive factors, medications, adherence, and some markers of health. Several statements also referred to topics some participants believed patients should know about themselves, including bowel regularity and the results of medical evaluations such as imaging, blood type, and other blood tests. Some participants asked about risky behaviors (tobacco and alcohol use) while others asked about preventive measures that might reduce risk (exercise, good nutrition).
As with most of the other clusters, Cluster 2 contained statements regarding knowledge and behavior (Clusters 7 and 8 were exceptions). In its concern with health (over institutional, or other personal concerns), Cluster 2 shared a general affinity with the entire right side of the map. Statements in Clusters 2, 3, 7, and 8 tended to refer to actual health conditions, health care and, in particular, decisions about using CAM for medical conditions.
Cluster 3: Self-assessment of health Cluster 3 contained a relatively small number of statements and showed a low bridging value, suggesting it was a tight cluster with a potentially concise interpretation. The panel labeled Cluster 3 "Self-assessment of Health." Like adjacent clusters at the top of the map, it contained statements that elicited personal information about patients (Table 3). While Cluster 1 dealt with more general characteristics of patients' lives, such as goals or stress, and Cluster 2 focused on positive health behaviors and negative risk factors, Cluster 3 statements referred to knowledge about patients' actual mental and physical health status.
As with other items positioned toward the right side of the map, Cluster 3 statements assessed actual health related issues. Statements addressed subjective health ratings, mood, self-care, and coping skills. Like Cluster 2, behavior and knowledge-related questions were represented. Cluster 3 statements related to care for health conditions whereas behavior-related statements in Cluster 2 centered on risk and risk-diminishment.
Cluster 4: Practical/economic/environmental concerns Cluster 4 had a high bridging value, suggesting that the statements may cover a broader and more heterogeneous range of conceptual territory. Panelists labeled Cluster 4 "Practical/ Economic/Environmental Concerns," reflecting this broad range of statements (Table 4). Cluster 4 primarily consisted of statements regarding the health care costs (especially CAM) and experience with the SAVAHCS. One statement had to do with health insurance, while all other finance-related statements were specifically about paying for CAM treatments. Some statements combined financing of CAM treatments and SAVAHCS-related issues. Several statements in Cluster 4 addressed satisfaction with SAVAHCS care. The "environmental" concern in the label came from statement 62, Cluster 5: Needs assessment Cluster 5 was perhaps the least definable on the map, and was simply labeled "Needs Assessment" (Table 5). In a sense, this label was a common background for many of the clusters, as well as a major goal of the resultant questionnaire. The central position of Cluster 5 on the map (see Figure 2

Cluster 6: CAM vs. conventional medicine
The most noticeable theme in Cluster 6 was the relationship between CAM and conventional medicine ( Table 6). The vast majority of statements referencing conventional medical care as a system (independent of individual provider concerns) were contained in this cluster, and several statements suggested the perceived shortcomings of conventional care that CAM might address. Statements referenced CAM in the context of its interaction with conventional care, such as whether conventional doctors knew about the CAM treatments being used (5), conventional doctors' comments about CAM use (165, 107), and whether a physician provided CAM education (6).
Panelists named this cluster "CAM vs. Conventional Medicine." There was some debate about "versus" in the title. Some conventional providers perceived the relationship as antagonistic. Some of the statements (e.g., 21, 165, 107, and 151) appeared to have antagonistic undertones. Other statements intimated tension between patients and conventional care without mentioning CAM explicitly (e.g., 149, 116, 77). However, several CAM providers suggested that Cluster 6 should reflect "integration," and that the label should have read, "CAM and Conventional Medicine." While there were many statements about CAM in other clusters, particularly Clusters 7 and 8, it is notable that statements mentioning conventional medicine and its relationship to CAM segregated into Cluster 6. This rela- tionship seems to be a crucial topic to panelists from both medical traditions, whether they are striving to better define their differences, or hoping to find a more integrative approach to patient care.

Cluster 7: Knowledge of CAM
Notably, Clusters 7 and 8 together contained over 40% of the master list statements (34 and 33 statements respectively). These clusters contained questions about CAM, a topic of obvious importance for the development of a CAM survey. Clusters 7 and 8 were roughly divided along the knowledge vs. behavior dimension that was seen earlier within some of the clusters.
Panelists labeled Cluster 7 "Knowledge of CAM." Several statements in this cluster, particularly statements having the lowest bridging values, appeared to be asking if veterans were well versed in CAM (Table 7). Statements addressed general familiarity with CAM (100, 40, 71), understanding of its origins (143), and how veterans had sought out information about CAM (48, 61). There were more specific questions regarding side effects of herbal medicine (121), factors that influenced CAM use (3), interest in group CAM classes (24), and beliefs that would prevent the use of CAM (155).
There were relatively few statements about providers in Clusters 7 and 8, where most of the statements about CAM were located. Statements about providers tended to be associated with conventional care reported in Cluster 6. It may be that providers realize that many veterans' experiences with CAM circumvent providers of any kind, allowing for direct access to healing modalities, such as herbal remedies. The few statements referring to CAM providers in Cluster 7 dealt with credibility and training, and veterans' recruitment of CAM providers. Cluster 8 statements related to the kind of CAM provider used (148), the use of spiritualists and shamans (120), and how a CAM provider was chosen (81). The vast majority of statements in these clusters, however, did not mention providers.
Since there were both pro-CAM and anti-CAM panel members (and since panelists were the originators of most of the statements), there were statements in Cluster 7 with different "spins" regarding CAM. Some of these statements really asked more for attitudes about, rather than familiarity with, CAM. For example, statements reflected the skepticism of some conventional providers, such as scientific evidence for CAM (154), adequate training and experience of CAM providers, and application of CAM to "minor" health complaints (147).

Discussion
Concept mapping with panelists comprised of conventional and CAM providers, and academicians with expertise in CAM and/or conventional care yielded interesting information in both the CAM and conventional health care domains. A common strategy used to discuss concept map findings is to look at variation across each of the dimensions (see Figures 1 and 2). Moving from top to bottom along the Y-axis, for example, statements are oriented toward characteristics of health care consumers, and especially their own assessment of their attitudes, internal states, and health. Moving through the middle of the map, statements tend to assess individuals' decisions and practices regarding health and treatment. Near the bottom, statements are about treatments and providers. The Y-axis might be termed the "locus of treatment and healing," with individual attitudes and actions emphasized at the top, and medical institutions and providers emphasized at the bottom.
Moving left to right along the X-axis, statements at first are about expenses for health care and patients' evaluation of SAVAHCS services. Through the middle of the map, issues are eclectic, seeming to deal with attitudes and decision making regarding the SAVAHCS, CAM, and conventional medicine. Toward the right side of the map, issues have much more to do with health status and health-related practices (both CAM and conventional). The X-axis represents, in a sense, "locus of control." Psychologists generally use this phrase to describe an individual's internal appraisal of interior versus exterior control. In this case, however, it is used more objectively to describe factors that are out of consumers' control, such as the treatment setting at the SAVAHCS, the cost of care, insurance coverage (all on the left side), and the actual healthrelated actions that consumers might take (on the right).
With regard to the X-axis, it is interesting to note that statements referring to both conventional and CAM modalities are clustered along the bottom and bottom-right portion of the map. Moving from left to right along the bottom of the map, statements change from referring to conventional medicine to CAM. Statements referring to CAM, therefore, tend to be closer to the "individual action" side of the map. Notably, statements that mentioned a health care provider (whether conventional or CAM) are generally found in Cluster 6 and the left side of Cluster 7. As one moves to the right and encounters more statements about CAM, there are fewer statements referring to providers. This observation suggests that panelists perceive CAM to be more accessible to individuals, without using providers as "gatekeepers." Another possibility is that they perceive people to be more empowered in a CAM setting, whereas in the conventional setting empowerment for treatment decisions lies mostly with the provider.

Non-clustering themes
There are brainstorming statements containing certain themes that do not cluster together. Apparently, these themes were not seen as salient enough during the card sort task to get sorted together. Non-clustering themes include military service shared by SAVAHCS patients, and the role of relationships in patients' lives. For example, statements referring to military service, or veteran status, are found in Cluster 1 (whether they believed their military service impacted their health), Cluster 3 (whether they were a combat veteran) and Cluster 8 (whether overseas experience exposed them to CAM modalities). Statements referring to important relationships are found in Cluster 1 (to whom, and how often, they could talk about important things), Cluster 3 (in-home caregiver), Cluster 5 (support groups; family problems as part of health problems), and Cluster 7 (family support for CAM use).
There are relatively few statements on these themes, and it is important to remember that the same panel members whose pile sorts determined the cluster map also created the majority of the brainstorming statements. Hence, it should not be surprising that these themes failed to cluster on the map.
There are other themes that only partly clustered. One could be termed "health maintenance behaviors and preventive medicine." Many statements that touch on this theme are incorporated into Cluster 2; although related themes are found in other clusters. Seen across clusters are statements that mention the SAVAHCS. These statements are clustered primarily in the middle of the bottom half of the map. Participants probably had some notion of the coherence of these items, but not enough to cause them to all fall in one cluster.
CAM and conventional providers alike believe that it is necessary to ask patients a variety of questions about their health and health-related activities. Standard demographic and "wellness" questions are mixed with more holistic questions regarding stress, mood, spirituality, and willingness to experiment with new modalities. During their card sorts, panelists recognized the likeness of these "patient data" questions, which converged at the top of the map in Clusters 1-3. Access to medical care (CAM or conventional) is seen as an issue clearly separate (in Cluster 4) from other concepts on the map.
CAM-related statements grouped primarily in Clusters 6-8. Cluster 6 housed statements having to do with availability of CAM through conventional medical institutions and conventional provider's advice about CAM. This particular grouping makes it clear that panelists see interaction between CAM and conventional medicine as a critical part of today's medical landscape. The grouping of other CAM-related issues in Clusters 7 and 8 suggest that panelists distinguish between provider-mediated care and the tendency, good or bad, for much CAM decision-making and use not to be provider-mediated. The array of CAMrelated issues in Clusters 7 and 8 suggest the complex nature of this topic and the efficacy of using data-gathering efforts, such as focus groups and concept mapping, to expose and sort through these issues. The 44 additional "proxy" statements on behalf of the CAM using military veteran focus group participants enriched the process and contributed to the reliability of the conceptual domains through triangulation across focus group and concept mapping methods. Focus group statements oftentimes supported both conventional (e.g., the need for more evidence-based studies) and CAM (e.g., the importance of looking at the whole person) approaches, and expanded knowledge within the conceptual domains (e.g., crossing the border into Mexico to purchase less expensive herbs, or to seek the help of native healers).
The creation of a SAVAHCS CAM survey will be guided by the eight concepts delineated by the panelists, and serve as guidelines for the research team. Statements within each of the eight categories (Tables 1, 2, 3, 4, 5, 6, 7, 8) will be selected for inclusion in the survey knowing that input came from SAVAHCS users of CAM (focus group participants), as well as SAVAHCS conventional and commu- nity-based CAM providers. The framework of the survey will be guided by the dimensions of the map to ensure that locus of treatment and healing, locus of control, individual action, and such non-clustering themes as health maintenance, preventive medicine, and general patient data issues are not overlooked in the construction of the survey.

Limitations
A disadvantage of using a diverse panel of conventional and CAM providers is the difficulty of seeking agreement on the meaning of cluster contents, and the somewhat contentious nature of the meeting itself. Many members of the group are strong individual thinkers with their own medical worldview and well-formed hypotheses regarding CAM, conventional medicine, their relationship, and the behavior of health care consumers. Perspectives of panelists include the attitude that CAM should be, but is not, evidence-based, as well as the belief the conventional medicine is fatally flawed by its failure to treat the whole person and its inability to take a wider perspective on healing.
It should not have been surprising that there was some difficulty in coming to agreement. The concept mapping process is, in part, a consensus-building process.
Panelists were asked to agree on a conceptualization for each cluster, notwithstanding that the statements in a given cluster might suggest somewhat different things to diverse panelists. Some panel members were not as flexible in their views in order to agree on labels for the clusters which contributed to the need for composite labels for several clusters.
Even without labels, however, the clusters formed by the analysis of participants' card sorts would have been valuable. They helped the research team think about categories of questions to be included in the questionnaire, and suggested some new priorities in the formulation of the questionnaire. Had the panel been less diverse, it may have come to conclusions that were not representative of all the people ultimately interested in the CAM phenomenon. It was more valuable to have diversity on the panel than to have the panel come to a clear consensus.
It could also be argued that there was not adequate representation of military veteran CAM user statements represented within the conceptual domains. However, when focus group statements were compared with the brainstormed statements provided by the conventional and CAM panelists, overlap was noted among all of the groups. The 44 statements (approximately 27% of all the statements used in the concept mapping process) were distinct from those of the panelists and academicians, and reflected concerns regarding CAM-using military veterans. Furthermore, while saturation of categories is not relevant to concept mapping per se, the degree of overlap in the statements generated between the focus groups and the panelists, and between the conventional and CAM providers, indicated sufficient statement samples to assure saturation [32]. Finally, the triangulated design in which different qualitative methods are combined (focus group statements to the brainstorming component of the concept mapping process) contributes to the construct validity and reliability of the CAM survey tool that will be constructed.

Conclusions
The findings from the concept mapping process described in this study stand on their own as a contribution to understanding the field of CAM. In order to study a topic as multifaceted as CAM, it is critical that panelists are as broadly based as possible. It is important to remember, however, that a mixed group of panelists often have wellconstructed and stable schemas about their fields, and a consensus-seeking exercise like concept mapping will have unique challenges. Despite these challenges, the eight conceptual domains, with their respective statements, as well as the structure of the map domains will serve as heuristic devices in the construction of a quantitative survey tool. Contributions from all stakeholders (SAVAHCS conventional and community-based CAM providers, academicians, and CAM-using military veteran focus group participants) will also serve to enhance the generalizability of the instrument's findings in VA health care facilities across the United States.