Individualised medicine from the perspectives of patients using complementary therapies: a meta-ethnography approach.

BACKGROUND: Personalised (or individualised) medicine in the days of genetic research refers to molecular biologic specifications in individuals and not to a response to individual patient needs in the sense of person-centred medicine. Studies suggest that patients often wish for authentically person-centred care and personal physician-patient interactions, and that they therefore choose Complementary and Alternative medicine (CAM) as a possibility to complement standard care and ensure a patient-centred approach. Therefore, to build on the findings documented in these qualitative studies, we investigated the various concepts of individualised medicine inherent in patients' reasons for using CAM. METHODS: We used the technique of meta-ethnography, following a three-stage approach: (1) A comprehensive systematic literature search of 67 electronic databases and appraisal of eligible qualitative studies related to patients' reasons for seeking CAM was carried out. Eligibility for inclusion was determined using defined criteria. (2) A meta-ethnographic study was conducted according to Noblit and Hare's method for translating key themes in patients' reasons for using CAM. (3) A line-of-argument approach was used to synthesize and interpret key concepts associated with patients' reasoning regarding individualized medicine. RESULTS: (1) Of a total of 9,578 citations screened, 38 studies were appraised with a quality assessment checklist and a total of 30 publications were included in the study. (2) Reasons for CAM use evolved following a reciprocal translation. (3) The line-of-argument interpretations of patients' concepts of individualised medicine that emerged based on the findings of our multidisciplinary research team were "personal growth", "holism", "alliance", "integrative care", "self-activation" and "wellbeing". CONCLUSIONS: The results of this meta-ethnographic study demonstrate that patients' notions of individualised medicine differ from the current idea of personalised genetic medicine. Our study shows that the "personal" patients' needs are not identified with a specific high-risk group or with a unique genetic profile in the sense of genome-based "personalised" or "individualised" medicine. Thus, the concept of individualised medicine should include the humanistic approach of individualisation as expressed in concepts such as "personal growth", "holistic" or "integrative care", doctor-patient "alliance", "self-activation" and "wellbeing" needs. This should also be considered in research projects and the allocation of healthcare resources.

How to locate and appraise qualitative research in complementary and alternative medicine.

BACKGROUND: The aim of this publication is to present a case study of how to locate and appraise qualitative studies for the conduct of a meta-ethnography in the field of complementary and alternative medicine (CAM). CAM is commonly associated with individualized medicine. However, one established scientific approach to the individual, qualitative research, thus far has been explicitly used very rarely. This article demonstrates a case example of how qualitative research in the field of CAM studies was identified and critically appraised. METHODS: Several search terms and techniques were tested for the identification and appraisal of qualitative CAM research in the conduct of a meta-ethnography. Sixty-seven electronic databases were searched for the identification of qualitative CAM trials, including CAM databases, nursing, nutrition, psychological, social, medical databases, the Cochrane Library and DIMDI. RESULTS: 9578 citations were screened, 223 articles met the pre-specified inclusion criteria, 63 full text publications were reviewed, 38 articles were appraised qualitatively and 30 articles were included. The search began with PubMed, yielding 87% of the included publications of all databases with few additional relevant findings in the specific databases. CINHAL and DIMDI also revealed a high number of precise hits. Although CAMbase and CAM-QUEST® focus on CAM research only, almost no hits of qualitative trials were found there. Searching with broad text terms was the most effective search strategy in all databases. CONCLUSIONS: This publication presents a case study on how to locate and appraise qualitative studies in the field of CAM. The example shows that the literature search for qualitative studies in the field of CAM is most effective when the search is begun in PubMed followed by CINHAL or DIMDI using broad text terms. Exclusive CAM databases delivered no additional findings to locate qualitative CAM studies.

Physicians' perception of guideline-recommended low-density lipoprotein target values: characteristics of misclassified patients.

AIMS: The present study investigated the awareness of primary care physicians for patient characteristics relevant for designation of low-density lipoprotein (LDL) target values. METHODS AND RESULTS: Physicians (n = 907) were asked to estimate guideline-recommended LDL target value for 30 of their patients with hyperlipidaemia. In total, 25 250 patients were allocated on that basis in three different groups (LDL target <100, <130, and <160 mg/dL), in which by guideline criteria 68.0, 21.9, and 10.1% of patients, respectively, were allocated. We analysed (by logistic regression) whether physicians utilized risk factors and co-morbidities appropriately for assignment of correct LDL target values. Overall, physicians estimated recommended LDL target values correctly in 55.1% of male vs. 49.1% of female patients (P < 0.001). In the group with LDL targets of <100 mg/dL, correct assignment was most often given to male patients with a history of myocardial infarction (MI; 77.1%). In comparison with this group, increasing probabilities for incorrect assignment were found in patients with documented coronary artery disease (CAD) without a history of MI [odds ratio (OR): 2.08, 95% confidence intervals (95% CI): 1.87-2.33], CAD-equivalent conditions (OR: 2.30, 95% CI: 2.08-2.55), and a 10-year risk >20% based on calculated risk scores (OR: 2.69, 95% CI: 2.40-3.02). Next, physicians were grouped, based on the number of correct assignments they gave to their patients, in quartiles of guideline knowledge. In patients from physicians of the top performing quartile (>90% of correct assignments), LDL levels were significantly lower than in the second, third, and fourth quartiles (LDL 134.3, 138.8, 145.5, 151.4 mg/dL, P < 0.001 between all groups). CONCLUSION: In primary care, about half of high-risk patients receive correct assignment of guideline-recommended LDL targets by their physicians. Perception of correct LDL target values varied largely depending on patients' gender and co-morbid conditions. Poor perception of risk resulted in lower rates of objective LDL target achievement.