ArticleEvidence-based complementary and alternative medicine : eCAM2011
An international comparison of attitudes toward traditional and modern medicine in a chinese and an american clinic setting.
Article in Evidence-based complementary and alternative medicine : eCAM, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Unpacking excessive polypharmacy patterns among individuals living with chronic pain in Quebec: a longitudinal study.Frontiers in pain research (Lausanne, Switzerland) · 2025Article
- Polypharmacy and Excessive Polypharmacy Among Persons Living with Chronic Pain: A Cross-Sectional Study on the Prevalence and Associated Factors.Journal of pain research · 2023Article
- The reasons for using acupuncture for pain relief.Iranian Red Crescent medical journal · 2014Article
- Ethno-pharmaceutical Formulations in Kurdish Ethno-medicine.Iranian journal of pharmaceutical research : IJPR · 2014Article
- Integrating traditional chinese medicine services in community health centers: insights into utilization patterns in the pearl river region of china.Evidence-based complementary and alternative medicine : eCAM · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction. International comparative research on traditional medicine (TM) offers a useful method for examining differences in patient characteristics and can provide insight into: (i) more universal characteristics which may cross cultures and international borders; (ii) unique characteristics influenced by regional/national factors; and (iii) cultural values of immigrant populations. To explore these issues TM patients from the United States and China were compared. Methods. Data collection took place at two TM college clinics. A convenience sample of 128 patients in China and 127 patients in the United States completed a 28-item questionnaire. Results. There was a marked similarity between the two patient groups in terms of the biological characteristics of age and gender. Musculoskeletal issues were the most common presenting complaints in the United States; while in China TM was used for a more diverse array of conditions. The majority of patients in both countries had initially used allopathic medicine (AM); significantly, more of the United States respondents stopped allopathic treatment after beginning traditional treatment. In comparing the two countries, patients in China were significantly more satisfied with AM and American patients significantly more satisfied with TM. In comparing the two medicines, the patient samples in both countries were significantly more satisfied with TM than AM. Discussion. Although treatment often originated with allopathic providers, many patients sought alternatives presumably to find the best solution to their problems. This tendency toward self-assignment suggests that a pluralistic healthcare system may provide the greatest satisfaction resulting from personal choice and improved outcomes.
Identifiers
What OpenQuestion holds
Registered trials
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.