Evidence map›Paper›PMID 36863740›Full record

ArticleBMJ open2023

Cross-sectional survey and Bayesian network model analysis of traditional Chinese medicine in Austria: investigating public awareness, usage determinants and perception of scientific support.

Michael Eigenschink, Luise Bellach, Sebastian Leonard, Tom Eric Dablander, Julian Maier, Fabian Dablander, Harald H Sitte

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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  4. [Procedures of complementary medicine in rheumatology].Zeitschrift fur Rheumatologie · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Michael EigenschinkCenter for Physiology and Pharmacology, Institute of Pharmacology, Medical University of Vienna, Wien, Austria.ORCID 0000-0001-6469-5014
Luise BellachCenter for Physiology and Pharmacology, Institute of Pharmacology, Medical University of Vienna, Wien, Austria.ORCID 0000-0001-7026-0033
Sebastian LeonardInstitute of Microbiology and Infection, University of Birmingham School of Dentistry, Birmingham, UK.
Tom Eric DablanderCenter for Physiology and Pharmacology, Institute of Pharmacology, Medical University of Vienna, Wien, Austria.
Julian MaierCenter for Physiology and Pharmacology, Institute of Pharmacology, Medical University of Vienna, Wien, Austria.ORCID 0000-0001-6016-1947
Fabian DablanderDepartment of Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-2650-6491
Harald H SitteCenter for Physiology and Pharmacology, Institute of Pharmacology, Medical University of Vienna, Wien, Austria harald.sitte@meduniwien.ac.at.ORCID 0000-0002-1339-7444

Funding

Austrian Science Fund FWF DOC 33
6 · The paper itself

Abstract

objectivesDespite the paucity of evidence verifying its efficacy and safety, traditional Chinese medicine (TCM) is expanding in popularity and political support. Decisions to include TCM diagnoses in the International Classification of Diseases 11th Revision and campaigns to integrate TCM into national healthcare systems have occurred while public perception and usage of TCM, especially in Europe, remains undetermined. Accordingly, this study investigates TCM's popularity, usage and perceived scientific support, as well as its relationship to homeopathy and vaccinations. DESIGN/

settingWe performed a cross-sectional survey of the Austrian population. Participants were either recruited on the street (in-person) or online (web-link) via a popular Austrian newspaper.

participants1382 individuals completed our survey. The sample was poststratified according to data derived from Austria's Federal Statistical Office. OUTCOME MEASURES: Associations between sociodemographic factors, opinion towards TCM and usage of complementary medicine (CAM) were investigated using a Bayesian graphical model.

resultsWithin our poststratified sample, TCM was broadly known (89.9% of women, 90.6% of men), with 58.9% of women and 39.5% of men using TCM between 2016 and 2019. Moreover, 66.4% of women and 49.7% of men agreed with TCM being supported by science. We found a positive relationship between perceived scientific support for TCM and trust in TCM-certified medical doctors (ρ=0.59, 95% CI 0.46 to 0.73). Moreover, perceived scientific support for TCM was negatively correlated with proclivity to get vaccinated (ρ=-0.26, 95% CI -0.43 to -0.08). Additionally, our network model yielded associations between TCM-related, homeopathy-related and vaccination-related variables.

conclusionsTCM is widely known within the Austrian general population and used by a substantial proportion. However, a disparity exists between the commonly held public perception that TCM is scientific and findings from evidence-based studies. Emphasis should be placed on supporting the distribution of unbiased, science-driven information.

Indexed as

Medicine, Chinese TraditionalPerceptionAustriaBayes TheoremCross-Sectional StudiesFemaleHumansMalecomplementary medicinehealth policyhealth & safetyherbal medicinepublic healthquality in health care

Identifiers

PMID36863740
PMCPMC9990654

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Registered trials

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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.