ArticleBMC complementary and alternative medicine2013
Individualised medicine from the perspectives of patients using complementary therapies: a meta-ethnography approach.
Article in BMC complementary and alternative medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Potential Sources of Moral Injury for Healthcare Workers in Forensic and Psychiatric Settings: A Systematic Review and Meta-ethnography.Trauma, violence & abuse · 2024Pooled it
- Potential factors that influence usage of complementary and alternative medicine worldwide: a systematic review.BMC complementary medicine and therapies · 2020Pooled it
- Process of care in outpatient Integrative healthcare facilities: a systematic review of clinical trials.BMC health services research · 2015Pooled it
- The step in time study: A feasibility study of a mobile app for measuring walking ability after massage treatment in patients with osteoarthritis.BMC complementary medicine and therapies · 2023Observational
- Informing the model of care for an academic integrative healthcare centre: a qualitative study exploring healthcare consumer perspectives.BMC complementary medicine and therapies · 2020Article
- Contributing to Global Health: Development of a Consensus-Based Whole Systems Research Strategy for Anthroposophic Medicine.Evidence-based complementary and alternative medicine : eCAM · 2019Article
- Complementary and alternative treatment in functional dyspepsia.United European gastroenterology journal · 2018Review
- Why women choose compounded bioidentical hormone therapy: lessons from a qualitative study of menopausal decision-making.BMC women's health · 2017Article
- Does the model of additive effect in placebo research still hold true? A narrative review.JRSM open · 2017Article
- The Phenomena of Naturopathic Practitioner: Predictors of a High Patient Throughput.Evidence-based complementary and alternative medicine : eCAM · 2017Article
- Use of complementary and alternative medicine by pediatric oncology patients during palliative care.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2016Article
- Meta-synthesis of qualitative research: the challenges and opportunities.International journal of clinical pharmacy · 2016Review
- The use of purposeful sampling in a qualitative evidence synthesis: A worked example on sexual adjustment to a cancer trajectory.BMC medical research methodology · 2016Article
- The Significance of an Enhanced Concept of the Organism for Medicine.Evidence-based complementary and alternative medicine : eCAM · 2016Review
- Watchful waiting or induction of labour--a matter of informed choice: identification, analysis and critical appraisal of decision aids and patient information regarding care options for women with uncomplicated singleton late and post term pregnancies: a review.BMC complementary and alternative medicine · 2015Review
- Perspectives of older adults on co-management of low back pain by doctors of chiropractic and family medicine physicians: a focus group study.BMC complementary and alternative medicine · 2013Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPersonalised (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.
methodsWe 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".
conclusionsThe 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.