Complementary and alternative medicine use in asthma: Who is using what?
Abstract
Abstract: Consumer interest in complementary and alternative medicine (CAM) has grown dramatically in Western countries in the past decade. However, very few patients volunteer information about CAM use unless directly questioned by their health-care practitioner. Therefore, by being informed about the prevalence and modality of CAM use for asthma, as well as characteristics of users, health-care practitioners may be better able to identify patients who use CAM. In turn, this may facilitate proactive discussion and optimization of the patient’s overall asthma management. This review aims to summarize the current knowledge about use of CAM by people with asthma, and to assess the applicability of the available studies to the broader asthmatic population. Computerized literature searches were conducted on Medline, Embase, Cochrane and Allied and Complementary Medicine (AMED) databases from their inception to 13 April 2005. Search terms included: complementary medicine/therapies, alternative medicine/therapies and asthma. The bibliographies of accessible articles were searched for further papers. Seventeen studies have examined the use of CAM by people with asthma. The reported level of use for adults ranged from 4% to 79%, and for children from 33% to 89%. Among the most commonly used CAMs were: breathing techniques, herbal products, homeopathy and acupuncture. There is no strong evidence for effectiveness for any of these modalities. There is little consistency among available prevalence studies making conclusions difficult. Nevertheless, the high rates of CAM use reported in some studies indicate that CAM use should be taken into account when managing patients with asthma.
INTRODUCTION
Consumer interest in complementary and alternative medicine (CAM) in Western countries has grown dramatically in the past decade. A widely accepted definition of CAM is that it is ‘a broad domain of healing resources that encompasses all health systems, modalities and practices and their accompanying theories and beliefs, other than those intrinsic to the politically dominant health systems of a particular society or culture in a given historical period’.1 Therefore, it is apparent that what is considered to be CAM in one country may be classified as part of standard treatment in another country. Although it is well acknowledged that there is a lack of high-level evidence for many CAM interventions, broad-based population surveys indicate that a growing number of patients are using CAM with, or instead of, their prescribed therapies for a range of chronic diseases.2–4 The majority (but not all) of such surveys have been carried out in Western countries perhaps reflecting a narrower definition of what constitutes conventional medicine. Information about the prevalence and modality of CAM use for specific disease states such as asthma, rather than a broad awareness of the level of CAM use in the general population, is likely to be helpful for health-care practitioners. Such specific information may assist health-care practitioners identify patients who are more likely to use CAM, as well as proactively address issues with patients relating to their use of CAM. In turn, this may contribute to optimization of overall disease management. This review aims to summarize the current knowledge about prevalence of CAM use by people with asthma across a range of cultural settings, and to assess the applicability of the available studies to the broader asthmatic population.
SEARCH STRATEGY
Computerized literature searches were conducted to identify English-language articles. Medline, Embase, Cochrane and Allied and Complementary Medicine (AMED) databases were searched from their inception to 13 April 2005. The search terms used were: complementary medicine, complementary therapies, alternative medicine, alternative therapies, acupuncture, Ayur veda, breathing techniques, homeopathy, naturopathy, Traditional Chinese Medicine, yoga. All were combined with the term ‘asthma’. When the keywords used mapped to subject headings, these headings were ‘exploded’ to include all terms from the hierarchy of controlled index terms, thereby including terms such as phytotherapy (the MeSH heading used for herbal medicine), holistic health, reflexotherapy and spiritual therapies. In addition, the bibliographies of accessible articles were searched for further relevant publications. Papers were selected by one author, and were included if the results were expressed in a way that allowed separation of the level of CAM usage by people with asthma from that by the general population. There were 17 such studies,5–21 seven in adult populations,5–11 seven in paediatric populations,12–18 one in adolescents19 and two covering adults and children.20,21
The quality of the selected studies was scored by two researchers based on previously established criteria22 (see Table 1) in the absence of a consensus quality score for prevalence studies. Median prevalence estimates have been calculated for homogenous study samples, subdivided into adults and paediatrics. This analysis necessitated the exclusion of three studies—one study examined the prevalence of CAM use exclusively by adolescents, and two studies20,21 considered both adults and children as a single group.
Criterion | Scoring system | |
---|---|---|
Population sample | Randomly selected (e.g. population screening for people with asthma) | 1 |
All other methods | 0 | |
Sample size | >500 | 1 |
≤500 | 0 | |
Survey response rate | >75% | 1 |
≤75% | 0 | |
Operationalized definition of CAM | Open question | 1 |
Closed question | 0 | |
Definitions of CAM or modalities provided | Bonus + 1 | |
Prevalence estimates with 95% confidence intervals provided | Present | 1 |
Absent | 0 | |
Analysis of non-responders | Present | 1 |
Absent | 0 |
- Maximum score: 7 points.
- Adapted from Fejer R et al.22
- CAM, complementary and alternative medicine.
THE LITERATURE
Who has been surveyed and how?
The 17 identified studies were of poor to moderate quality only. A range of recruitment methods were utilized (see Table 2). The majority were conducted in Europe, the USA and Australia, with one study in Singapore, one in Turkey and one in India. Target populations included patients with asthma who were attending primary care physicians10,16 specialist or hospital clinics,5,9,11–13,15,17,18,21 members of asthma organizations7,14 and people with asthma identified after random digit dialling6 and population-based screening surveys.8,19,20 The potential impact of these methods on the results is presented in Table 3. Questionnaire methods included face-to-face interviews5,8–11,13,15–18,20 telephone surveys,6 and self-completion surveys.7,12,14,19,21 The impact that this may have had on the results is presented in Table 4. The upper age limit for three of the five adult surveys was 50 years, and the paediatric surveys included caregivers of patients from 0 to 19 years.
Study | Population (age range) | Recruitment strategy (geographic location) | Sample size (survey response rate†) | CAM question type (survey type) | Prevalence of CAM use [95% CI] (time frame) | Quality score‡ |
---|---|---|---|---|---|---|
Blanc et al.5§ | Adults (18–50) | A random sample of patients attending pulmonary and allergy clinics (Northern California, USA) | 601 (86%) | Closed ended (face-to-face interview) | 16%[13–19%] (last 12 months) | 3 |
Blanc et al.6 | Adults (18–50) | Random digit dialling was used to recruit people with asthma or sinusitis (Northern California, USA) | 300 (68%) | Closed ended (telephone interview) | 42%[36–48%] (last 12 months) | 2 |
Ernst7 | Adults (≥16) | People listed as members of the National Asthma Campaign were contacted (UK) | 4741 (28%) | Open ended (mailed survey) | 59% (ever) | 2 |
Janson et al.8 | Young adults (20–48) | Randomly sampled individuals with diagnosed asthma identified after responding to a screening questionnaire (Australia, Belgium, France, Germany, Iceland, Ireland, Italy, New Zealand, Netherlands, Norway, Spain, Sweden, USA) | 17 029 (64%)¶ | Open ended (face-to-face structured interview) | 4%†† (last 12 months) | 4 |
Lamb & Cantrill9 | Adults (19–77) | Diagnosed asthmatics were identified by clinicians at a hospital outpatients clinic (South Manchester, UK) | 50 (not reported) | Not stated (face-to-face interview) | 60% (not reported) | 0 |
Ng et al.10 | Adults (21–50) | People with diagnosed asthma were identified from patient records at five public, primary care clinics (Singapore) | 802 (65%) | Closed ended (face-to-face structured interview) | 27% (last 12 months) | 1 |
Rivera et al.11 | Adults (48, SD: ±16/17) | Retrospective chart review: the medical record for all patients admitted with an ICD-9 asthma-related primary diagnosis was reviewed | 67 charts reviewed | Open ended (review of chart) | Nil documented in medical record | |
Prospective study: people with asthma were identified by a daily review of emergency department presentations (El Paso, Texas, USA) | 60 (not reported) | Open ended (face-to-face interview) | 42% (last 12 months) | 1 | ||
Andrews et al.12 | Paediatrics (1–6) | Consecutive parents of children attending a Pulmonary and General Medicine outpatient clinic at a tertiary hospital (Adelaide, South Australia) | 51 (93%) | Closed ended (self-completion survey) | 55%‡‡ (last 12 months) | 2 |
Braganza et al.13 | Paediatrics (mean 7.2) | Primary caregivers were approached in an outpatient paediatric clinic and were recruited if they had a child with asthma (Bronx, New York, USA) | 310 (not reported) | Open ended (face-to-face interview) | 89% (last 12 months) | 1 |
Ernst14 | Paediatrics (<16) | People listed as members of the National Asthma Campaign were contacted (UK) | 1471 (37%, estimated) | Open ended (mailed survey) | 33% (ever) | 2 |
Mazur et al.15 | Paediatrics (not specified) | Caregivers attending a specialist pulmonary clinic based at a hospital were recruited (Houston, Texas, USA) | 48 (not reported) | Open ended (face-to-face interview) | 81% (ever) | 1 |
Pachter et al.16 | Paediatrics (not specified) | Caregivers of asthmatic children with Hispanic surnames were recruited from two community health-care clinics (Hartford, Connecticut, USA) | 118 (66%) | Closed ended (face-to-face structured interview) | 74% (ever) | 0 |
Orhan et al.17 | Paediatrics (1–16) | Caregivers of children with asthma attending a university based asthma clinic were approached (Ankara, Turkey) | 304 (87%) | Open ended (face-to-face structured interview) | 49% (ever)38% (past year) | 2 |
Shenfield et al.18 | Paediatrics (0.7–18.8) | Consecutive patients and their caregivers who were inpatients or outpatients at a tertiary teaching hospital were recruited (Sydney, New South Wales, Australia) | 174 (92%) | Open ended (face-to-face structured interview) | 52% (ever) | 2 |
Reznik et al.19 | Adolescents (13–18) | School students identified as having asthma from a screening questionnaire were approached (Bronx, New York, USA) | 160 (80%) | Open ended (self-completion questionnaire) | 80% (last 12 months) | 3 |
Partridge et al.20 | Adults and Paediatrics (Not specified) | People identified as having asthma from a population based screening survey (originally drawn from 100 representative postal districts) were approached (UK) | 785 (33%) | Closed ended (face-to-face structured interviews) | 13% (ever)6% (current) | 2 |
Singh et al.21 | Adults and Paediatrics (mean age: 28.5) | Patients who had attended a specialist respiratory clinic were sent a letter of invitation to participate in the study (Jaipur, India) | 1012 (62%) | Closed ended (self-completion questionnaire provided at clinic) | 79% (ever) | 1 |
- † Survey response rate refers to the number of people agreeing to participate in the study expressed as a proportion of the total number of people approached to participate.
- ‡ Adapted from Fejer R et al.22
- § Post publication of the 1997 study5 Blanc et al. became aware of a potential compromise in the quality of part of the dataset collected by one interviewer. After re-analysis the reported associations remained intact.
- ¶ Median; range: 12–90%.
- †† Median; range: 0–16%.
- ‡‡ 95% confidence interval (CI) presented for the prevalence of use of specific modalities rather than the overall prevalence rate.
- CAM, complementary and alternative medicine; ICD, International Classification of Diseases.
Variable | Potential impact (studies effected) | Reason |
---|---|---|
Organization-based rather than population-based | Overestimation of CAM use7,14 | Members of patient organizations may be more proactive in self-management. |
Disease severity | Overestimation of CAM use5,9,11–13,15,17,18,21 | Patients with worse disease severity may be more inclined to use CAM. Sampling solely from specialist clinics, or hospital related cohorts may result in selection of patients with more severe asthma. |
Ethnicity | Uncertain because of ethnically diverse populations being recruited less frequently.10,11,13,15–17,21 | The prevalence of use of CAM by subjects from different ethnic backgrounds may be different from the ethnically dominant group. |
Socioeconomic status | Over-18 or underestimation10,12,19 of CAM use | Poorer populations may be less able to afford CAM, whereas being affluent may facilitate the use of CAM. |
Gender | Overestimation of CAM use if male gender is underrepresented. | CAM use has been associated with female gender in general population studies. |
- CAM, complementary and alternative medicine.
Questionnaire method | Potential impact (studies effected) | Reason |
---|---|---|
Mailed survey | Overestimation of CAM use7,14 | Subject to selection bias as those with a vested interest in the topic at hand are more likely to respond. |
Telephone interviews | Overestimation of CAM use6 | Inadvertently excludes those of lower socioeconomic status as they may not be able to afford a telephone service. |
Exclusive use of the culturally dominant language | Uncertain because of other language populations seldom being recruited6,11,13,16 | The prevalence of use of CAM by subjects from different cultural backgrounds may be different from the culturally dominant group. |
- CAM, complementary and alternative medicine.
What definitions of CAM were used in the surveys?
One of the most striking features of this review is the wide range of definitions or descriptors used for CAM in the questionnaires. For example, Ernst,7,14 Janson et al.,8 Shenfield et al.18 and Mazur et al.15 used broad, open-ended terms such as ‘complementary therapies/medicines’ and ‘remedies other than drug treatment’ when enquiring about CAM use. In contrast, Blanc et al.,5,6 Ng et al.,10 Andrews et al.,12 Pachter et al.,16 Partridge et al.20 and Singh et al.21 used narrower definitions of CAM by providing their respondents with a list of specific modalities to elicit responses about CAM use. Rivera et al.,11 Braganza et al.,13 Orhan et al.17 and Reznik et al.19 included general questions about CAM use as well as providing a list of specific treatments. As highlighted by the Cochrane Collaboration’s definition of CAM,1 what is considered to be CAM may vary between countries. In many Asian countries, such as China, an integrative approach to CAM use has been taken.23 Therefore, traditional herbal remedies may be considered part of usual first line treatment, whereas these would be considered strictly CAM in the West.
What proportion of people with asthma use CAM?
As is evident from Table 2, there is large variability in the reported prevalence rates of use of CAM. Importantly, what constitutes ‘usage’ has not been defined in terms of frequency or consistency of use in any of the included studies. That is, one-off use cannot be differentiated from continuous use. In the paediatric surveys, 33%−89% of respondents were reported to use CAM. The prevalence of CAM use by adults ranged between 4–79%. The source of this variability is primarily explained by the differing methods employed. The reported prevalence of CAM use for adults was lower in studies with a sample size greater than 500 (Fig. 1), where the sample was chosen randomly rather than from a convenience sample (Fig. 2), where the quality score is higher (Fig. 3) and when the time frame considered was limited to the previous 12 months (Fig. 4). Although it appears that a lower prevalence of CAM use is found when adults are interviewed (Fig. 5) or where the survey response rate is greater than 75% (Fig. 6), caution must be exercised, as only one study utilized a self-completion questionnaire,7 and only one had a survey response rate greater than 75%.5 When an open-ended question was used, a slightly higher prevalence estimate was reported (Fig. 7). Therefore, on average, studies designed more rigorously estimate the prevalence of CAM use for asthma among adults as being between 20% and 30%.

Impact of study sample size on reported prevalence of complementary and alternative medicine (CAM) use. The reported prevalence of CAM use was lower in studies with a sample size greater than 500. Data points represent reported prevalence of CAM use with 95% confidence intervals represented by the error bars. The median prevalence estimates (with interquartile range (IQR)) were calculated from homogenous study samples.

Impact of random sampling on reported prevalence of complementary and alternative medicine (CAM) use. The reported prevalence of CAM use was lower in studies of adults where the participants were recruited randomly (e.g. through population screening for people with asthma or random digit dialling). Non-random sampling included recruitment from a medical (specialist or general practice) clinic or patient organizations. Data points represent reported prevalence of CAM use with 95% confidence intervals represented by the error bars. The median prevalence estimates (with interquartile range (IQR)) were calculated from homogenous study samples.

Impact of quality score on reported prevalence of complementary and alternative medicine (CAM) use. Each study was assigned a quality score (0–7, best–worst)22 with points allocated for survey response rate, definition of CAM and so on—see Table 1. There was a trend towards a lower reported prevalence of CAM use with an increasing quality score. Data points represent reported prevalence of CAM use with 95% confidence intervals represented by the error bars. The median prevalence estimates (with interquartile range (IQR)) were calculated from homogenous study samples.

Impact of time frame considered on reported prevalence of complementary and alternative medicine (CAM) use. The reported prevalence of CAM use in adults was lower when the time frame (recall period) participants were requested to consider was limited to the previous 12 months. Time frame had little effect on the reported prevalence of CAM use in children. Data points represent reported prevalence of CAM use with 95% confidence intervals represented by the error bars. The median prevalence estimates (with interquartile range (IQR)) were calculated from homogenous study samples.

Impact of questionnaire method on reported prevalence of complementary and alternative medicine (CAM) use. The impact of survey method (questionnaire or interview) on the reported prevalence of CAM use showed no particular trend. Data points represent reported prevalence of CAM use with 95% confidence intervals represented by the error bars. The median prevalence estimates (with interquartile range (IQR)) were calculated from homogenous study samples.

Impact of survey response rate on reported prevalence of complementary and alternative medicine (CAM) use. The reported prevalence of CAM use was lower when the survey response rate (number of respondents/number approached (%)) was greater than 75%. Data points represent reported prevalence of CAM use with 95% confidence intervals represented by the error bars. The median prevalence estimates (with interquartile range (IQR)) were calculated from homogenous study samples.

Impact of complementary and alternative medicine (CAM) question type on reported prevalence of CAM use. The impact of CAM question type (open, where respondents were required to volunteer the name of their CAM, vs. fixed response, where respondents were asked to choose from a list of specified CAM modalities) on the reported prevalence of CAM use showed no particular trend. Data points represent reported prevalence of CAM use with 95% confidence intervals represented by the error bars. The median prevalence estimates (with interquartile range (IQR)) were calculated from homogenous study samples.
For paediatrics, the reported prevalence of CAM use was lower in studies where the survey response rate was greater than 75% (Fig. 6), where the quality score is higher (Fig. 3) and when participants were responding to a questionnaire rather than being interviewed (Fig. 5). A lower prevalence of CAM use was observed in the only study of over 500 children (Fig. 1).14 Limiting the time frame to the previous 12 months (Fig. 4) did not appear to impact on the reported prevalence. When an open-ended question was used (Fig. 7), a slightly lower prevalence estimate was reported. No paediatric studies utilized a random sample (Fig. 2). Therefore, on average, studies designed more rigorously estimate the prevalence of CAM use for asthma among children as being between 50% and 60%.
Although the studies primarily asked about current, recent or ‘ever’ use of CAM, the surveys conducted by Ernst asked both the adult7 and paediatric14 subjects who were not current CAM users whether they would be likely to use CAM in the future. In the adult population, the majority (67%) thought that they may use CAM in the future compared with 27% who thought that they would not.7 Similarly, among caregivers for children with asthma, 71% thought that they would consider using CAM for their child in the future.14
What is being used?
The most commonly used forms of CAM reported by adults with asthma (Table 5) were: acupuncture, aromatherapy, breathing techniques, herbal products, homeopathy and yoga. Modalities used most frequently in the paediatric population were similar: breathing techniques, diet therapy, herbal medicine, homeopathy, massage, positive therapy, physical therapy, prayer, relaxation techniques, vitamins and minerals.
Study | Population | Quality score† | Most frequently used CAMs |
---|---|---|---|
Blanc et al.5 | Adults | 3 | Herbal products (21%) |
Blanc et al.6 | Adults | 2 | Herbal treatments (24%) |
Ernst7 | Adults | 2 | Breathing techniques (30%), homeopathy (12%), herbalism (11%), yoga (9%) |
Janson et al.8 | Young adults | 4 | Homeopathy, herbal remedies, acupuncture |
Lamb & Cantrill9 | Adults | 0 | Relaxation/breathing exercises (43%), herbal or homeopathic product (30%) |
Ng et al.10 | Adults | 1 | Animal food products: a traditional remedy (12%), herbal preparations (10%) |
Rivera et al.11 | Adults | 1 | Only herbal products were included |
Andrews et al.12 | Paediatrics | 2 | Massage (20%), diet therapy (18%), relaxation exercises (16%), positive therapy (16%), meditation (12%) and vitamins (12%) |
Braganza et al.13 | Paediatrics | 1 | Prayers (53%), rubs (53%), massage (45%), honey (28%), oils (21%), teas (21%) |
Ernst14 | Paediatrics | 2 | Homeopathy (15%), breathing techniques (15%), herbalism (6%), osteopathy (2%) |
Mazur et al.15 | Paediatrics | 1 | Prayer (75%), OTC medicines (38%), herbal remedies (21%), vitamins (21%), chest massage (15%) |
Pachter et al.16 | Paediatrics | 0 | Alcanfor (74%), praying to God (73%), massage (57%), Siete jarabes (25%) |
Orhan et al.17 | Paediatrics | 2 | Quail eggs (79%), herbal medicine (31%), Turkish wild honey (26%) |
Shenfield et al.18 | Paediatrics | 2 | Products: vitamins and minerals (53%), herbal preparations (29%), homeopathic remedies (14%). Therapies: homeopathy (32%), naturopathy (32%), Buteyko (11%) |
Reznik et al.19 | Adolescents | 3 | Rubs (74%), herbal teas (39%), prayer (37%), massage (36%), Siete jarabes (24%), diet (24%) |
Partridge et al.20 | Adults and Paediatrics | 2 | Breathing techniques (51%), aromatherapy (36%), herbal medicine (15%), reflexology (11%), yoga (9%) |
Singh et al.21 | Adults and Paediatrics | 1 | Ayur veda (33%), homeopathy (33%), yoga (21%) |
- † Adapted from Fejer R et al.22.
- CAM, complementary and alternative medicine; OTC, over-the-counter.
Do those using CAM perceive them to be useful?
Although objective evidence for the efficacy of CAM in asthma was not collected by the investigators of the included studies, several asked respondents about the perceived benefits of CAM. Patients interviewed by Lamb and Cantrill9 stated that they derived benefit from the use of relaxation/breathing exercises and yoga such as reduced symptoms. In Ernst’s7 survey of adults, the majority reported that their asthma symptoms had improved to ‘some’ or a ‘slight’ extent (response options ranged from ‘to a great extent’ to ‘not at all’) as a result of using CAM. The same investigator reported that the majority of caregivers of UK children with asthma14 felt that CAM had been ‘moderately useful’. Over half of the respondents recruited by Shenfield et al.18 who had used CAM were satisfied with them, although paradoxically only 12% stated that they believed them to be effective. Orhan et al.17 reported that 56% of their respondents perceived no improvement in their child’s asthma as a result of CAM use. In the study conducted by Pachter et al.16 respondents were asked whether they perceived the CAM modalities they had tried were effective. Affirmative responses depended on the modality and ranged from 0% (azogue = elemental mercury used in spiritual cleansing) to 75% (prayer). CAM was perceived to be as effective as conventional medicine by 59% of caregivers surveyed by Braganza et al.13 and by 59% adolescents surveyed by Reznik et al.19 A majority of those surveyed by Singh et al.21 did not report symptom relief from their use of CAM, but many believed that using their chosen CAM modality, in combination with strict dietary modification, would provide a cure in the long term.
Is there evidence to support the use of CAM for asthma?
Several comprehensive reviews summarizing the evidence for CAMs commonly used in asthma have been published previously, including two reviews of herbal interventions.24,25 The reviewers of the herbal interventions conclude that although the effects of some products appear promising, it is difficult to interpret their efficacy because of the poor quality of the existing studies. Marks et al.26 have compiled a review of common CAMs used in asthma including acupuncture, breathing techniques, chiropractic, homeopathy, meditation and yoga. Strong evidence for effectiveness for any of the modalities reviewed was not found.26
How open are patients about their use of CAM?
In countries where an integrative approach to the use of CAM has not occurred, patient disclosure of CAM use is variable. Reasons for this include: reluctance to inform health-care practitioners for fear of ridicule, failure of health-care practitioners to directly ask patients, and the perception by patients that health-care practitioners would not be interested in knowing.27,28 Mazur et al.15 were able to assess the difference between rates of CAM use spontaneously reported to medical practitioners during a normal consultation, and the rates subsequently elicited by direct questioning. At the child’s first visit, caregivers were questioned about their child’s current and past therapies. No parents volunteered that their child was using CAM. However, on direct questioning by the same physician at the subsequent appointment, 81% reported concomitant CAM usage. Shenfield et al.18 directly questioned caregivers on their level of disclosure regarding CAM to their child’s general practitioner/paediatrician. Only 48% had done so. A similar question was posed by Braganza et al.13 who reported that 82% had not informed their specialist, and by Reznik et al.19 who found that 46% had not informed their medical practitioner. The low level of disclosure about CAM by adolescents and caregivers is consistent with the findings in broader population surveys of CAM use.2,3,29 In adults, Rivera et al.11 were able to compare spontaneous reporting of CAM usage with direct questioning by comparing the results of their retrospective chart review with their subsequent interviews. No documentation of CAM use was found by chart review. In contrast, 42% of patients interviewed subsequently disclosed CAM use.
Given the low level of disclosure, can it be predicted who is most likely to be using CAM?
Several studies examined the associations between CAM utilization and demographic and disease characteristics. Among adults, Blanc et al.5,6 and Ernst7 reported that there was a trend towards greater use of CAM among females compared with males. In contrast, Ng et al.10 found that in Singapore the use of CAM by males was more predominant, perhaps reflecting a cultural difference. More variation between studies was seen in associations with age and severity of asthma. In a randomly selected asthmatic population, Blanc et al. found that younger age was associated with a greater likelihood of self-treatment with caffeine6 but Ernst7 and Ng et al.10 were not able to detect an association between age and CAM use. Worse severity of disease has been associated with greater CAM use7,10 and with use of coffee or black tea self-treatment in the clinic population study by Blanc et al.,5 but no such association was reported in the randomly selected asthmatic population subsequently studied by Blanc et al.6 A superior asthma knowledge score was found to be positively associated with CAM use by Ng et al.10
Factors predicting CAM use for children are also poorly characterized. Andrews et al.12 found no association between the child’s age, duration or severity of asthma or presence of concurrent illness, with CAM use. Braganza et al.13 reported that CAM use was highest among those who were classified as having mild persistent or moderate persistent asthma. Shenfield et al.18 found that markers such as high-dose inhaled/oral steroids, persistent asthma, poor/very poor symptom control, frequency of bronchodilator side-effects and frequency of doctors’ visits were associated with CAM use. Orhan et al.17 and Reznik et al.19 found similar associations (regular asthma treatment, use of inhaled corticosteroids, asthma exacerbations, emergency admittances, frequency of asthma symptoms). Further, Orhan et al.17 and Reznik et al.19 found that intention to use CAM again in the future was associated with higher perceived efficacy of CAM.
From their interviews with adults, adolescents and caregivers, Partridge et al.20 found that those expressing more concerns about conventional medications (feeling reliant on them, concerns about side-effects and long-term effects) were more likely to have used CAM.
CONCLUSIONS
Following examination of the published literature, it is apparent that limited work has been conducted examining the usage of CAM among people with asthma. As is the case for similar research in the general population, there is little consistency between studies, making comparisons and collaborations difficult. Further, published studies report wide variability in the prevalence of CAM use among people with asthma. Nevertheless, the conclusion that can be drawn is that 20–30% of adults and 50–60% of children with asthma may be using CAM at any one time, but only a minority voluntarily report this use to their conventional health-care providers. If confirmed by well-designed studies, this is an important finding because of the potential for drug interactions, and suboptimal use of prescribed medicines and management plans, which may go unnoticed if the CAM use is not volunteered by the patient. In addition to identifying patients who use CAM, understanding the reasons why they choose to do so may assist health-care providers in engaging in discussion with their patient about their management, thereby optimizing health outcomes.
A critical element missing from the available surveys about prevalence of CAM use in asthma is a consistent operational definition of CAM. Development of such a definition for future studies would allow comparisons between different populations, as well as an accurate examination of longitudinal trends in CAM usage. Importantly, a standardized definition should not only consider the therapies and products to be classified as CAM, but also what constitutes ‘usage’, and what is a suitable time frame for adequate recall (current usage, use in the previous 12 months or ever used (lifetime)). Further work in this area is required in order to direct future research endeavours as well as to provide useful information for health-care practitioners regarding the use of CAM by their patients with asthma.