Evidence map›Paper›PMID 33104738›Full record

ArticlePloS one2020

Prevalence, expenditures, and associated factors of purchasing non-prescribed Chinese herbal medicine in Taiwan.

Feng-Ping Hu, Chien-Chan Liao, Ta-Liang Chen, Chun-Chieh Yeh, Luwen Shi, Chun-Chuan Shih

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In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

6 authors.

Feng-Ping HuSchool of Pharmaceutical Sciences, Peking University, Beijing, China.
Chien-Chan LiaoDepartment of Anesthesiology, Taipei Medical University Hospital, Taipei, Taiwan.
Ta-Liang ChenAnesthesiology and Health Policy Research Center, Taipei Medical University Hospital, Taipei, Taiwan.
Chun-Chieh YehDepartment of Surgery, China Medical University Hospital, Taichung, Taiwan.
Luwen ShiSchool of Pharmaceutical Sciences, Peking University, Beijing, China.
Chun-Chuan ShihSchool of Chinese Medicine for Post-Baccalaureate, College of Medicine, I-Shou University, Kaohsiung, Taiwan.ORCID 0000-0002-8775-378X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsPurchasing Chinese herbal medicine (CHM) without a physician's prescription may have adverse effects on health. However, the recent status of purchasing non-prescribed CHM and the associated factors are not completely understood. We aimed to report the prevalence of purchasing CHM and associated factors.

methodsUsing data from the 2017 Taiwan Survey of Family Income and Expenditure, we identified 16,528 individuals (householders) aged 18 years and older. Sociodemographic factors, expenditures on medical services and health behaviours were compared between people with and without a history of purchasing non-prescribed CHM by calculating adjusted odds ratios (ORs) and 95% confidence intervals (CIs) in a multiple logistic regression analysis.

resultsThe one-year prevalence of purchasing non-prescribed CHM was 74.8% in Taiwan. In addition to sociodemographics, marital status (OR 2.14, 95% CI 1.88-2.44), the use of traditional Chinese medicine (OR 3.62, 95% CI 3.30-3.97), the purchasing of non-prescribed biochemical medications (OR 3.09, 95% CI 2.75-3.48), the purchasing of health foods (OR 2.59, 95% CI 2.33-2.86), the use of folk therapy (OR 2.27, 95% CI 1.95-2.64), and a high level of expenditure on alcohol (OR 3.79, 95% CI 3.29-4.36) were strongly correlated with purchasing non-prescribed CHM.

conclusionThe one-year prevalence of purchasing non-prescribed CHM is very high in Taiwan and is correlated with sociodemographics, health behaviours, and the utilization of medical care. The interaction of non-prescribed CHM with physician-prescribed herbal medicine and biomedical medications requires more attention.

Indexed as

AdultAgedAged, 80 and overAge DistributionConsumer BehaviorDatabases, FactualDrugs, Chinese HerbalFemaleHealth ExpendituresHumansLogistic ModelsMaleMiddle AgedPrevalenceRisk FactorsTaiwanDrugs, Chinese Herbal

Identifiers

PMID33104738
PMCPMC7588068

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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.