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How often do general practitioners use placebos and non-specific interventions? Systematic review and meta-analysis
Klaus Linde1, Oxana Atmann1, Karin Meissner2,3
1Technical University of Munich, TUM School of Medicine, Institute of General Practice, Munich, Germany.
Background:
In a systematic review and meta-analysis we summarize the available evidence on how frequently general practitioners/family physicians (GPs) use pure placebos (e.g., placebo pills) and non-specific therapies (sometimes referred to as impure placebos; e.g., antibiotics for common cold).
Methods:
We searched Medline, PubMed and SCOPUS up to July 2018 to identify cross-sectional quantitative surveys among GPs. Outcomes of primary interest were the percentages of GPs having used any placebo, pure placebos or non-specific therapies at least once in their career, at least once in the last year, at least monthly or at least weekly. Outcomes were described as proportions and pooled with random-effects meta-analysis.
Results:
Of 674 publications, 16 studies from 13 countries with a total of 2.981 participating GPs (range 27 to 783) met the inclusion criteria. The percentage of GPs having used any form of placebo at least once in their career ranged from 29% to 97%, in the last year at least once from 46% to 95%, at least monthly from 15% to 89%, and at least weekly from 1% to 75%. The use of non-specific therapies by far outnumbered the use of pure placebo. For example, the proportion of GPs using pure placebos at least monthly varied between 2% and 15% compared to 53% and 89% for non-specific therapies; use at least weekly varied between 1% and 3% for pure placebos and between 16% and 75% for non-specific therapies. Besides eliciting placebos effects, many other reasons related to patient expectations, demands and medical problems were reported as reasons for applying placebo interventions.
Conclusion:
High prevalence estimates of placebo use among GPs are mainly driven by the frequent use of non-specific therapies; pure placebos are used rarely. The interpretation of our quantitative findings is complicated by the diversity of definitions and survey methods.
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