- Research article
- Open Access
- Open Peer Review
Differences in the quality of interpersonal care in complementary and conventional medicine
© Busato and Künzi; licensee BioMed Central Ltd. 2010
- Received: 18 January 2010
- Accepted: 4 November 2010
- Published: 4 November 2010
The study was part of a nationwide evaluation of complementary and alternative medicine (CAM) in Swiss primary care. The aim of the study was to compare patient-physician relationships and the respective patient-reported relief of symptoms between CAM and conventional primary care (COM).
A comparative observational study in Swiss primary care with written survey completed by patients who visited a GP one month earlier. 6133 patients older than 16 years of 170 certified CAM physicians, of 77 non-certified CAM physicians and of 71 conventional physicians were included. Patients completed a questionnaire aimed at symptom relief, patient satisfaction, fulfilment of expectations, and quality of patient-physician interaction (EUROPEP questionnaire).
CAM physicians treated significantly more patients with chronic conditions than COM physicians. CAM Patients had significant higher healing expectations than COM patients. General patient satisfaction was significantly higher in CAM patients, although patient-reported symptom relief was significantly poorer. The quality of patient-physician communication was rated significantly better in CAM patients.
The study shows better patient-reported outcomes of CAM in comparison to COM in Swiss primary care, which is related to higher patient satisfaction due to better patient-physician communication of CAM physicians. More effective communication patterns of these physicians may play an important role in allowing patients to maintain more positive outcome expectations. The findings should promote formative efforts in conventional primary care to improve communication skills in order to reach the same levels of favourable patient outcomes.
- Basic Health Insurance
- Anthroposophical Medicine
- Neural Therapy
- Swiss Primary Care
- Swiss Medical Association
The trend that patients seek more and more help in complementary and alternative medicine (CAM) is a phenomenon in almost all western healthcare systems. CAM therapies that are used instead of conventional medicine are termed "alternative." CAM therapies used alongside conventional medicine are said to be "complementary." With reference to this merging of CAM with conventional biomedicine (COM) an increasing number of clinicians and researchers uses the term "integrative" medicine. However, it is argued that combination medicine (CAM added to COM) is not integrative as such. Integrative medicine represents a higher-order system of care that emphasizes wellness and healing of the entire person (bio-psycho-socio-spiritual dimensions) as primary goals, drawing on both conventional and CAM approaches in the context of a supportive and effective physician-patient relationship. According to the US National Center for Complementary and Alternative Medicine (NCCAM) CAM therapies can be classified into five categories or domains: 1) alternative medical systems (e.g., homeopathy, naturopathy and traditional Chinese medicine), 2) mind-body interventions, 3) biologically based therapies (e.g., foods, vitamins, herbs), 4) manipulative and body-based methods (e.g., chiropractic, massage) and 5) energy therapies (e.g., Therapeutic Touch, Qigong). Nowadays, e.g. about three quarters of primary care physicians in Switzerland offer CAM themselves or refer their patients to CAM treatments and more than half of all Canadians use some form of CAM every year. Hence, the magnitude of the use of CAM therapies, the way they are being used, and the lack of clarity on standards of evidence make CAM a rising healthcare issue.
New evidence from research is needed to guide a thoughtful incorporation of concepts, values, and practices from CAM and COM towards an integrative medicine as outlined above. The respective research agenda, which may be similar in many Western countries, encompasses high priority areas for health politicians, professionals and consumers alike (cf. recommendations of IN-CAM cited in: (1) healthcare delivery and policy research, including (a) exploring if and how CAM should be regulated, (b) defining what constitutes acceptable evidence of safety and efficacy, (c) investigating the organization and delivery of integrative healthcare; (2) methodological research, including exploring how best to assess whole systems of care and how to choose patient-, practitioner- and policy-relevant outcome measures; and (3) knowledge transfer, including formal education strategies, the provision of information and dialogue with those who use information in decision-making.
When the Swiss Federal Department of Home Affairs decided in 1998 to add four methods of complementary medicine to the benefit catalogue of basic health insurance for a period of five years, many of these issues entered a public discussion, which left more questions than answers. The choice of the four CAM therapies (homeopathy, anthroposophical medicine, neural therapy, and traditional Chinese herbal medicine) reflected more market forces and lobbying than scientific evidence. The policy at that time was, that reimbursements of expenditures for alternative medicine were covered by basic health insurance only for physicians with appropriate CAM training approved by the Swiss Medical Association. Further, it was decided that a nationwide evaluation of the respective CAM therapies had to be performed allowing an evidence-based decision about longer-term inclusion of CAM procedures in compulsory health plans. Western herbal medicine was also included in the project although such an evaluation was not required by federal legislation (the Swiss Medical association does currently not issue board certification for Western herbal medicine).
Based on the results of this evaluation , the Swiss Federal Office of Home Affairs decided in 2005 to withdraw CAM procedures from basic health insurance coverage. The main reason for this decision was the lack of persuasive evidence of cost effectiveness, efficacy, and efficiency.
As part of this project, the goal of this study was to use patients' evaluations as a measure of effectiveness of complementary medicine in primary care. Many articles of that time addressed the methodological difficulties inherent in assessing outcomes of complex interventions in CAM, and only sparse evidence from research underscored the role of possible modulating factors on outcomes of individualized care, both in CAM and COM. Since then a growing body of evidence underpins that the quality of the physician-patient relation may influence treatment outcomes[7, 8].
Therefore complex methods and multiple measures were proposed to research the therapeutic relationship and its impact on treatment outcomes. In this respect patient expectations of treatment benefit and the fulfilment of patients needs seem to play a crucial role in affecting patient-reported outcomes in CAM and COM. But results from respective trials are inconsistent ranging from surprising evidence from COM, showing that optimistic patient expectations may be related indeed with a significant better survival after 2 months when controlled for other physical and mental characteristics to a recent landmark CAM trial, that could not confirm previous studies, which suggested that treatment expectations and patients' preferences might predict outcomes of acupuncture for chronic back pain . These actual findings suggest that the relationship between patient expectations and outcomes may be more complex than previously believed.
Another question is, if and how clear treatment preferences, which are typical in CAM patients, may predict treatment outcomes. Several studies suggest that expectations of positive outcomes are associated with greater treatment satisfaction. Therefore elucidating, understanding, and ultimately negotiating the factors that affect the individual patients' perceptions remains important, because these perceptions affect treatment expectations, which may predict treatment outcomes and hence satisfaction with care. CAM and COM researchers nowadays recommend the use of individualized measures to assess unique patient-centred outcomes for each research participant, and measures to assess the context of healing and the process of healing.
The unique situation in Switzerland at the time of the study that offered CAM and COM care within a well defined health care setting allowed the investigation of the influence of further factors such as e.g. additional training of primary care physicians in different CAM therapies, the use of different CAM or COM interventions or the fulfilment of patients' healing expectations on health outcomes of a wide range of symptoms.
The specific research question was: How do patient-physician relationships and respective patient-reported relief of symptoms differ in CAM and COM in primary care? Based on available evidence of today we hypothesize that physicians who are able to developed a strong patient-physician relation in the sense of a working partnership, e.g. by effective communication skills, i) involve more patients in terms of a shared-decision-making about therapeutic options, and ii) set more realistic patient expectations, which are agreed on by patient and physician that might lead to a higher fulfilment of respective patient's expectations, and iii) therefore have patients with better satisfaction with treatment, iv) which ultimately may be associated with a better outcome in terms of patient-reported symptom relief.
Physicians and Patients
The study was designed as a comparative observational study of patients seeking conventional or CAM treatment in Swiss primary care. The target population included all adult primary care patients in Switzerland. The sample population consisted of a convenience sample of 6133 adult patients (> 16 years) treated by 319 physicians all over the country during a 12 month period in 2002 and 2003. Physicians were enrolled on a voluntarily basis and were reimbursed with 500 Swiss Francs (330 €) for their expenditures.
COM physicians: Physicians performing no CAM procedures (conventional primary medical care physicians).
Noncertified CAM physicians: Physicians performing CAM and COM procedures without professional certification in CAM and without patient reimbursement of expenditures for CAM procedures by basic health insurance.
Certified CAM physicians: Dual-trained Physicians  performing CAM and COM procedures with CAM certificates provisionally recognized by basic health insurance (homeopathy, anthroposophical medicine, neural therapy, traditional Chinese medicine).
Physicians performing Western herbal medicine were part of the noncertified CAM group as the Swiss Medical Association does not issue board certification for this medical discipline.
Only physicians working as primary care providers in ambulatory practice at least two working days per week and with at least five completely documented consultations during the twelve month study period were eligible for our study.
Patient groups were defined according to the same classification. Physicians were instructed to sample consecutive patients consulting their practices on four given days during a 12 month period (one day each in spring, summer, fall and winter). Sampling days were selected at random by the study coordination and were equally distributed across weekdays. Patients were informed about the study by leaflets, provided written informed consent, and were asked to fill out forms about demographic and health status information, treatment related expectations, and frequency and reasons for encounter. Physicians documented the same consultations with reference to symptoms, diagnoses, duration of problems, comorbid conditions, and diagnostic and therapeutic procedures. Physicians had no access to forms completed by patients. The ethics committee of the Canton of Bern raised no objection to the study.
Relation and communication (6 questions)
Medical care (5 questions)
Information and support (4 questions)
Continuity and cooperation (2 questions)
Organization of care, including availability and accessibility (6 questions)
Outcomes measures included therefore data on experience with the treatment process and the related health effects. A time lag of approximately one month appeared therefore to be reasonable to cover both of these domains by trying to minimize recall bias about the recollection of consultation characteristics and by maximizing treatment effects as perceived by patients.
An SF-36 questionnaire  was also included in the mailed survey. The goal was to obtain valid estimates of physical and mental well-being in the study population in order to scale potential differences of outcomes. The SF-36 data were therefore not considered as an outcome but as attributes of patient populations. Mental and physical health scores (MCS, PCS) were calculated according to Ware . Questionnaires were provided in German, French, or Italian depending on patient mother tongue. Obtaining a consistent population of patients returning questionnaires with respect to the time between the first recorded consultation and filling out the respective questionnaire was considered critical. Therefore, no reminder letters were sent to nonresponders.
CAM was defined within the project as medical procedures provided by conventionally trained and licensed physicians that usually are not taught in Swiss medical schools. The study was based on concepts of health service research in a primary care setting. Therefore CAM was compared with COM as a whole, and a wide range of indications and procedures were included and evaluated within the project.
Data analysis included descriptive and analytical procedures. Chi-Square tests were used for univariable analyses and linear- and logistic models for multivariable analyses. Linear models were used to analyse continuous target variables (age, consultation time, SF-36 data). Ordinal outcomes were reduced to binary scales with the most favourable answer category coded as one and all other non-missing categories as zero. These data were analyzed using multivariable logistic regression models and two indicator variables were created in order to allow comparisons between COM and both groups of CAM physicians. Covariables of multivariable models were defined a priori and were aimed to adjust for demographic factors of patients (age and gender). Additional analyses stratified by educational status of patients, by patient perceived disease severity and by disease duration (chronic/non-chronic) were performed in order to ensure the validity of this model. All analytical procedures accounted for clustering of observations at the practice level using Taylor series expansion procedures for 2*2 tables and mixed effects models [16, 17] for multivariable procedures; 95% confidence intervals (95% CI) of means, proportions, and odds ratios were calculated accordingly. Model fit procedures for both linear and logistic models provided no indication of a violation of basic assumptions of the respective models and both procedures accounted for reasonable amounts of variation of outcome variables.
Additional demographic data of all patients of the participating physicians were obtained from the data pool of Swiss health insurers (Santésuisse), and health-status and outcome information was obtained from another study performed in the setting of Swiss primary care . This information allowed an assessment of the generalisabilty of our data. The level of significance was set at p < 0.05 throughout the study and SAS 9.2 (SAS Institute Inc., Cary, NC, USA) was used for all calculations.
11,615 consultations of patients older than 16 years were documented in 318 primary care practices (71, 77 and 170 for COM, noncertified CAM and certified CAM respectively). The sample of physicians included 5.3% of all primary providers and of 29% of all certified CAM physicians in Switzerland in 2002. 102 physicians were certified in homeopathy, 48 in traditional Chinese medicine, 22 in anthroposophical medicine, 17 in neural therapy, and 19 physicians had multiple CAM certificates.
Seventy-six patients (0.7%) filled out forms during the consultation but declined further participation in the study. Therefore, 11,539 questionnaires were mailed to patients three weeks later. The proportion of questionnaires returned by patients within one month was 53.2% (n = 6133).
Questionnaires were completed by patients on average 26 days after the initial consultation. Compliance was significantly higher for patients living in German-speaking parts of Switzerland, for female patients, for patients older than 30 years, patients with problems lasting longer than three months, and for patients treated by certified CAM physicians. The comparison of responders' demographics with the respective information derived from the health insurers' data pool indicated that female and younger patients were overrepresented, i.e. 68.5% females in the sample vs. 65.0% in the data pool, and 48.9 years of age vs. 54.2 years respectively. Additional information available from another large Swiss study performed in conventional primary care [18, 19] indicated almost identical patterns for general health in COM patients.
All following data refer to patients with complete consultation data and who returned the postal questionnaire.
Procedures and management of disease
Patient attributes and consultation times
Type of treatment
Age of patients in years*
Proportion of female patients*
Proportion of patients with higher educationa*
- Symptom relief
Proportion of chronic patientsb*
Proportion of patients with severe symptoms*
Consultation time (LSM)c*
- non chronic patients*
- chronic patients*
With reference to COM, age and gender adjusted proportions of chronically ill patients, defined as having health problems lasting longer than 3 months, was significantly higher for certified CAM physicians (p < 0.01) and significantly lower for noncertified CAM (p = 0.01). Certified CAM physicians documented significantly higher loads of patients with severe symptoms (p < 0.01) but no significant difference was seen for noncertified CAM (p = 0.59). Average consultation time was 22.6 minutes and differed significantly between groups (Table 1). There were considerable effects of disease duration on consultation times. Consultations for chronic patients lasted longer in all study groups. However, first order interaction terms indicated that consultation length of chronic patients of certified CAM physicians was significantly and disproportionately longer than in other groups.
Distribution of therapeutic procedures across patient groups
Type of treatment
CAM & COM
Western Herbal medicine
Distribution of main diagnoses (frequency in percent per ICD10-Chapters across patient groups)
M00-M99 Diseases of the musculoskeletal system and connective tissue
I00-I99 Diseases of the circulatory system
J00-J99 Diseases of the respiratory system
F00-F99 Mental and behavioral disorders
K00-K93 Diseases of the digestive system
S00-T98 Injury, poisoning and certain other consequences of external causes
R00-R99 Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified
N00-N99 Diseases of the genitourinary system
G00-G99 Diseases of the nervous system
L00-L99 Diseases of the skin and subcutaneous tissue
E00-E90 Endocrine, nutritional and metabolic diseases
Z00-Z99 Factors influencing health status and contact with health services
No diagnosis specified
A00-B99 Certain infectious and parasitic diseases
H60-H95 Diseases of the ear and mastoid process
D50-D89 Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism
H00-H59 Diseases of the eye and adnexa
O00-O99 Pregnancy, childbirth and the puerperium
Q00-Q99 Congenital malformations, deformations and chromosomal abnormalities
Patient evaluations (Table 4)
Patient outcomes (symptom resolution, fulfilment of expectations, treatment satisfaction)
Fulfilment of expectations
Not at all
mostly not satisfied
Not satisfied at all
Patient evaluation of COM and CAM, EUROPEP questionnaire
% of best answer
Relation and communication
Making you feel you had time during consultation?
Interest in your personal situation?
Making it easy for you to tell him or her about your problem?
Involving you in decisions about your medical care?
Listening to you?
Keeping your records and data confidential?
Quick relief of your symptoms?
Helping you to feel well so that you can perform your normal daily activities?
Physical examination of you?
Offering you services for preventing diseases (screening, health checks, immunizations, ...)
Information and support
Explaining the purpose of tests and treatments?
Telling you what you wanted to know about your symptoms and/or illness?
Helping you deal with emotional problems related to your health status?
Helping you understand the importance of following his or her advice?
Continuity and cooperation
Knowing what s/he had done or told you during earlier contacts?
Preparing you for what to expect from specialist or hospital care?
Facilities availability and accessibility
The helpfulness of the staff (other than the doctor)?
Getting an appointment to suit you?
Getting through to the practice on telephone?
Being able to speak to the general practitioner on the telephone?
Waiting time in the waiting room?
Providing quick services for urgent health problems?
Mental health index
Quality of care was defined based on concepts of structure, process, and outcome [22, 23], and the interpretation of the outcome data discriminated between intervention- and process-related items of care [24, 25]. Intervention-related items refer to the patient-reported treatment effectiveness in terms of symptom relief and matched expectations, and process-related items refer to quality of interpersonal care.
Based on these concepts, distinct patterns were observed in how quality of care was reported by COM and CAM patients. The observation that CAM patients experienced poorer relief of symptoms is likely associated with higher proportions of patients with chronic and apparently more severe disease conditions. However, self-rated general health prior to the consultation and at follow-up point to paradoxical findings. Despite a higher load of chronic and more severe health problems, CAM patients had equal or even better general health and higher SF-36 scores than COM patients. It can be speculated that these findings are associated with different mechanisms for coping with illness and disease, or that they are the result of higher mortality risks observed in COM patients.
Outcomes are not only associated with the effectiveness of a treatment but with a variety of psychological and societal factors  embedded in a dynamic process of interaction between patient and physician that involves expectations, beliefs, and behavioural factors of patients and physicians .
In this framework, our study supports the hypothesis that patients treated by certified CAM physicians have higher levels of treatment satisfaction, and the results indicate that this favourable outcome is associated with higher treatment expectations. Epistemological doctrines established in the 17th century, applied and refined much later in psychological and educational research, may provide explanatory models for these findings. As mentioned before positive expectations may enhance the probability of a more favourable outcome ; the concepts of "self-fulfilling prophecy" and "interpersonal expectancy effects"  resulted from this work. These concepts may have direct application to our data in the sense that interpersonal expectancy effects may also emerge when physicians confirm and support expectations of their patients. It therefore can be hypothesized from our empirical findings that positive outcomes in CAM are linked to the expectation that CAM treatments provide a better fulfilment of patients needs. The results of the EUROPEP questionnaire support these hypotheses insofar as they indicate that the apparent patient-reported effectiveness of CAM treatments is also linked to more effective communication and better information and continuity of care, but not to patient experiences directly related to medical interventions. Therefore, it appears that interpersonal elements of the quality of care have high priority for CAM patients and are valued as more important than elements associated with specific treatment effects. However, the fact that expectations of CAM patients are less vague than those of COM patients --they are more clearly focused on a specific CAM treatment approach--makes it easier to get fulfilment. It is however important to note that expectations are related to experience and use of CAM  and expectancy effects may also differ across specific CAM disciplines.
These results confirm other observations that patients clearly distinguish between task and affective elements of care . Information giving appears to have a key role in this context . Better patient outcomes are generally associated with longer consultation times , although there is some debate about which aspects of the behaviour of physicians are major determinants of patient-based evaluations in primary care. The observation of longer consultation times of certified CAM physicians with patients with more chronic conditions or psychiatric diseases, i.e. with less objectively measurable indicators of symptoms, indicates that CAM physicians recognize that such patients are more sensitive to communication  and that they should be approached differently.
In summary, differences in the patient-reported effectiveness of CAM and COM seem to be based on more effective ways of communication of certified CAM physicians, which might include also more positive treatment-related outcome expectations. Thus, from a patient perspective CAM physicians provide a more effective type of care, even though the specific clinical effectiveness of CAM procedures is questionable [37, 38]. From a health system perspective, the extent to which such differences in patient-physician interactions are more likely to produce other patterns of diagnoses and a different use of health care resources in CAM than in conventional primary care remains an open question.
Limitations and strengths
The study was planned as a purely observational assessment of patient outcomes and consequently suffers from a number of limitations common to this type of research. These include selection bias of physicians and both response and recall bias of patients who decided to complete the questionnaires. It can be assumed that the motivation among participating physicians was different, since CAM physicians were under more pressure to demonstrate effective methods--which was not the case for COM physicians. It can only be speculated that the motivation of COM physicians is more attributable to a general interest in primary care research. In a strict sense, the generalisability of our results is therefore reduced to physicians with these distinct motivations. Satisfied and dissatisfied patients have different compliance in completing questionnaires. It is therefore very likely that the results are positively biased because satisfied patients are more likely to return the questionnaires [39, 40]. However, patients' evaluations of care offer not only unique subjective information, which is otherwise not available, but also provide valid estimates of their experiences and respective satisfaction in a primary care setting [41, 42]. A further limitation refers to the short follow-up period of the study, which prevents quality assessments of ongoing relationship-building processes between patient and physician, and the definition of therapeutic relationships. We did not account for other than demographic factors in the statistical analysis. The decision to use such a parsimonious model is based on earlier research indicating particular population characteristics and motivations inherent to patients using CAM and preliminary analyses indicated considerable collinearity between these variables and patient group. Stratification was therefore used to document effects of potential confounders. These difficulties to adequately control for confounding in our study point to the limitations of quantitative methods when investigating the role of psycho-social effects in clinical research that is aimed to study the effectiveness of CAM. It may also be argued that the analysis of the EUROPEP data needs adjustment for the problem of multiple tests. The literature in this field is inconclusive and the decision whether to view the EUROPEP data as a group or as individual questions remains arbitrary. We tend to consider each question as a single hypothesis and promote therefore a more individualistic view.
It may also be criticized that outcomes were dichotomized into the best possible and all other answer options. This approach is based on a commonly applied concept that standards of excellence attained by top performers should be used as benchmarks of quality in the health care sector. Furthermore considerable ceiling effects were detected when using different pooling procedures particularly for the EUROPEP data.
Strengths of the study are related to the fact that all physicians shared the same medical background--i.e. all physicians were trained and certified in conventional medicine, and CAM physicians were dual-trained within a well-defined national framework. Furthermore, an internationally validated patient survey instrument  was used to assess the quality of the physician-patient relationship. Other strengths include the availability of billing data that allowed further validations of patient demographics, which indicated a reasonable fit between the overall population and the sampled data.
Given the rising age and increasing morbidity and consumerism of the population, efficient management of high--if not unrealistic--patient expectations becomes a core function of primary care. Previous empirical research has underscored the importance the quality of the physician-patient relationship by demonstrating its association with important outcomes, including adherence to medical advice  and satisfaction with care. However, few studies have had the benefit of longitudinal data to verify the sequencing of effects between relationship quality and outcomes . Our study therefore provides empirical evidence that the patient-reported effectiveness of CAM in Swiss primary care is related to higher patient satisfaction due to better patient-physician communication of certified CAM physicians. More effective communication patterns of these physicians also may play an important role in allowing patients to maintain more positive outcome expectations. The findings should promote formative efforts in conventional primary care to improve communication skills in order to reach the same levels of favourable patient outcomes.
The study was funded by the Swiss Federal Office of Public Health and by contract; the funding organization had no involvement in the preparation of the present manuscript.
We acknowledge the work of Andreas Dönges, Antoinette Kearns, Barbara Schmitter, Florica Marian, Kathrin Dopke and Sylvia Herren for their help and support in the project, and we thank Chris Ritter for his help preparing the manuscript. We are indebted to all patients and physicians who participated in this study.
- Barrett B, Marchand L, Scheder J, Plane MB, Maberry R, Appelbaum D, Rakel D, Rabago D: Themes of holism, empowerment, access, and legitimacy define complementary, alternative, and integrative medicine in relation to conventional biomedicine. J Altern Complement Med. 2003, 9 (6): 937-947. 10.1089/107555303771952271.View ArticlePubMedGoogle Scholar
- What is complementary and alternativew medicine (CAM)?. [http://nccam.nih.gov/health/whatiscam/]
- Deglon-Fischer A, Barth J, Ausfeld-Hafter B: [Complementary and alternative medicine in primary care in Switzerland]. Forsch Komplementmed. 2009, 16 (4): 251-255. 10.1159/000207970.View ArticlePubMedGoogle Scholar
- Boon HS, Verhoef MJ, Vanderheyden LC, Westlake KP: Complementary and alternative medicine: a rising healthcare issue. Healthc Policy. 2006, 1 (3): 19-30.PubMedPubMed CentralGoogle Scholar
- Melchart D, Mitscherlich. F, Amiet M, Eichenberger R, Koch P: Programm Evaluation Komplementärmedizin (PEK) Schlussbericht. 2005, Swiss Federal Office of Public HealthGoogle Scholar
- Mason S, Tovey P, Long AF: Evaluating complementary medicine: methodological challenges of randomised controlled trials. BMJ. 2002, 325 (7368): 832-834. 10.1136/bmj.325.7368.832.View ArticlePubMedPubMed CentralGoogle Scholar
- Long AF, Mercer G, Hughes K: Developing a tool to measure holistic practice: a missing dimension in outcomes measurement within complementary therapies. Complement Ther Med. 2000, 8 (1): 26-31.View ArticlePubMedGoogle Scholar
- MacPherson H, Mercer SW, Scullion T, Thomas KJ: Empathy, enablement, and outcome: an exploratory study on acupuncture patients' perceptions. J Altern Complement Med. 2003, 9 (6): 869-876. 10.1089/107555303771952226.View ArticlePubMedGoogle Scholar
- Verhoef MJ, Boon HS, Mutasingwa DR: The scope of naturopathic medicine in Canada: an emerging profession. Soc Sci Med. 2006, 63 (2): 409-417. 10.1016/j.socscimed.2006.01.008.View ArticlePubMedGoogle Scholar
- Lee SJ, Loberiza FR, Rizzo JD, Soiffer RJ, Antin JH, Weeks JC: Optimistic expectations and survival after hematopoietic stem cell transplantation. Biol Blood Marrow Transplant. 2003, 9 (6): 389-396. 10.1016/S1083-8791(03)00103-4.View ArticlePubMedGoogle Scholar
- Sherman KJ, Cherkin DC, Ichikawa L, Avins AL, Delaney K, Barlow WE, Khalsa PS, Deyo RA: Treatment expectations and preferences as predictors of outcome of acupuncture for chronic back pain. Spine (Phila Pa 1976). 2010, 35 (15): 1471-1477.View ArticleGoogle Scholar
- Marschall-Kehrel D, Roberts RG, Brubaker L: Patient-reported outcomes in overactive bladder: the influence of perception of condition and expectation for treatment benefit. Urology. 2006, 68 (2 Suppl): 29-37. 10.1016/j.urology.2006.02.046.View ArticlePubMedGoogle Scholar
- Kaptchuk TJ, Eisenberg DM: Varieties of healing. 2: a taxonomy of unconventional healing practices. Ann Intern Med. 2001, 135 (3): 196-204.View ArticlePubMedGoogle Scholar
- Grol R, Wensing M: Task force on patient evaluations of general practice care. 1999, ISBN 90-76316-11-2Google Scholar
- Ware JE, M K: SF-36 Physical & Mental Health Summary Scales: A Manual for Users of Version 1. 2001, QualityMetric Incorporated Lincoln, Rhode Island, SecondGoogle Scholar
- Singer J: Using SAS PROC MIXED to fit multilevel models, hierarchical models, and individual growth models. Journal of Educational and Behavioral Statistics. 1998, 24 (4): 323-355.View ArticleGoogle Scholar
- Sheu CF: Fitting mixed-effects models for repeated ordinal outcomes with the NLMIXED procedure. Behav Res Methods Instrum Comput. 2002, 34 (2): 151-157.View ArticlePubMedGoogle Scholar
- Künzi B: Swisspep Qualidoc® gibt Rechenschaft über hausärztliche Wirksamkeit. Edited by: Zürich. 2004, 8Google Scholar
- Künzi B: Swisspep Qualidoc®: A balanced score card to capture and extend the added values of general practice/family medicine. 2004, Houten, NL: Bohn Stafleu van LohumGoogle Scholar
- Busato A, Donges A, Herren S, Widmer M, Marian F: Health status and health care utilisation of patients in complementary and conventional primary care in Switzerland--an observational study. Fam Pract. 2006, 23 (1): 116-124. 10.1093/fampra/cmi078. Epub 2005 Aug 2022View ArticlePubMedGoogle Scholar
- Sundararajan V, Henderson T, Perry C, Muggivan A, Quan H, Ghali WA: New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality. J Clin Epidemiol. 2004, 57 (12): 1288-1294. 10.1016/j.jclinepi.2004.03.012.View ArticlePubMedGoogle Scholar
- Campbell SM, Roland MO, Buetow SA: Defining quality of care. Soc Sci Med. 2000, 51 (11): 1611-1625. 10.1016/S0277-9536(00)00057-5.View ArticlePubMedGoogle Scholar
- Donabedian A: The quality of care. How can it be assessed?. JAMA. 1988, 260 (12): 1743-1748. 10.1001/jama.260.12.1743.View ArticlePubMedGoogle Scholar
- Hudak PL, Wright JG: The characteristics of patient satisfaction measures. Spine. 2000, 25 (24): 3167-3177. 10.1097/00007632-200012150-00012.View ArticlePubMedGoogle Scholar
- Jung HP, Van Horne F, Wensing M, Hearnshaw H, Grol R: Which aspects of general practitioners' behaviour determine patients' evaluations of care?. Soc Sci Med. 1998, 47 (8): 1077-1087. 10.1016/S0277-9536(98)00138-5.View ArticlePubMedGoogle Scholar
- McGeary DD, Mayer TG, Gatchel RJ, Anagnostis C, Proctor TJ: Gender-related differences in treatment outcomes for patients with musculoskeletal disorders. Spine J. 2003, 3 (3): 197-203. 10.1016/S1529-9430(02)00599-5.View ArticlePubMedGoogle Scholar
- Crow R, Gage H, Hampson S, Hart J, Kimber A, Storey L, Thomas H: The measurement of satisfaction with healthcare: implications for practice from a systematic review of the literature. Health Technol Assess. 2002, 6 (32): 1-244.View ArticlePubMedGoogle Scholar
- Hobbes T, (ed): The English Works (Dialogue, Behemont, Rhetoric). 1860, London: John BohnGoogle Scholar
- Rosenthal R, Rubin DB: Interpersonal expectancy effects: The first 345 studies. The Behavioral and Brain Sciences. 1978, 1: 377-415. 10.1017/S0140525X00075506.View ArticleGoogle Scholar
- Rosenthal R: Experimenter and clinician effects in scientific inquiry and clinical practice. Prevention & Treatment. 2002, 5 (1): 1-12.View ArticleGoogle Scholar
- Peck BM, Ubel PA, Roter DL, Goold SD, Asch DA, Jeffreys AS, Grambow SC, Tulsky JA: Do unmet expectations for specific tests, referrals, and new medications reduce patients' satisfaction?. J Gen Intern Med. 2004, 19 (11): 1080-1087. 10.1111/j.1525-1497.2004.30436.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Wapf V, Busato A: Patients motives for choosing a physician: comparison between conventional and complementary medicine in Swiss primary care. BMC Complement Altern Med. 2007, 7 (1): 41-10.1186/1472-6882-7-41.View ArticlePubMed CentralGoogle Scholar
- Sirois FM, Gick ML: An investigation of the health beliefs and motivations of complementary medicine clients. Soc Sci Med. 2002, 55 (6): 1025-1037. 10.1016/S0277-9536(01)00229-5.View ArticlePubMedGoogle Scholar
- Beck RS, Daughtridge R, Sloane PD: Physician-patient communication in the primary care office: a systematic review. J Am Board Fam Pract. 2002, 15 (1): 25-38.PubMedGoogle Scholar
- Freeman GK, Horder JP, Howie JG, Hungin AP, Hill AP, Shah NC, Wilson A: Evolving general practice consultation in Britain: issues of length and context. Bmj. 2002, 324 (7342): 880-882. 10.1136/bmj.324.7342.880.View ArticlePubMedPubMed CentralGoogle Scholar
- Thorne SE, Harris SR, Mahoney K, Con A, McGuinness L: The context of health care communication in chronic illness. Patient Educ Couns. 2004, 54 (3): 299-306. 10.1016/j.pec.2003.11.009.View ArticlePubMedGoogle Scholar
- Shang A, Huwiler-Muntener K, Nartey L, Juni P, Dorig S, Sterne JA, Pewsner D, Egger M: Are the clinical effects of homoeopathy placebo effects? Comparative study of placebo-controlled trials of homoeopathy and allopathy. Lancet. 2005, 366 (9487): 726-732. 10.1016/S0140-6736(05)67177-2.View ArticlePubMedGoogle Scholar
- Melchart D, Streng A, Hoppe A, Brinkhaus B, Witt C, Wagenpfeil S, Pfaffenrath V, Hammes M, Hummelsberger J, Irnich D: Acupuncture in patients with tension-type headache: randomised controlled trial. Bmj. 2005, 331 (7513): 376-382. 10.1136/bmj.38512.405440.8F.View ArticlePubMedPubMed CentralGoogle Scholar
- A guide to direct measures of patient satisfaction in clinical practice. Health Services Research Group. Cmaj. 1992, 146 (10): 1727-1731.Google Scholar
- Mazor KM, Clauser BE, Field T, Yood RA, Gurwitz JH: A demonstration of the impact of response bias on the results of patient satisfaction surveys. Health Serv Res. 2002, 37 (5): 1403-1417. 10.1111/1475-6773.11194.View ArticlePubMedPubMed CentralGoogle Scholar
- Turnbull JE, Hembree WE: Consumer information, patient satisfaction surveys, and public reports. Am J Med Qual. 1996, 11 (1): S42-45.PubMedGoogle Scholar
- Wensing M, Vedsted P, Kersnik J, Peersman W, Klingenberg A, Hearnshaw H, Hjortdahl P, Paulus D, Kunzi B, Mendive J: Patient satisfaction with availability of general practice: an international comparison. Int J Qual Health Care. 2002, 14 (2): 111-118.View ArticlePubMedGoogle Scholar
- Thompson JR: Invited commentary: Re: "Multiple comparisons and related issues in the interpretation of epidemiologic data". Am J Epidemiol. 1998, 147 (9): 801-806.View ArticlePubMedGoogle Scholar
- Weissman NW, Allison JJ, Kiefe CI, Farmer RM, Weaver MT, Williams OD, Child IG, Pemberton JH, Brown KC, Baker CS: Achievable benchmarks of care: the ABCs of benchmarking. J Eval Clin Pract. 1999, 5 (3): 269-281. 10.1046/j.1365-2753.1999.00203.x.View ArticlePubMedGoogle Scholar
- Wensing M, Mainz J, Grol R: A standardised instrument for patients' evaluations of general practice care in Europe. Eur J Gen Pract. 2000, 6: 82-87. 10.3109/13814780009069953.View ArticleGoogle Scholar
- Safran DG, Taira DA, Rogers WH, Kosinski M, Ware JE, Tarlov AR: Linking primary care performance to outcomes of care. J Fam Pract. 1998, 47 (3): 213-220.PubMedGoogle Scholar
- Safran DG, Montgomery JE, Chang H, Murphy J, Rogers WH: Switching doctors: predictors of voluntary disenrollment from a primary physician's practice. J Fam Pract. 2001, 50 (2): 130-136.PubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6882/10/63/prepub
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