Evidence map›Paper›PMID 30963358›Full record

ArticleCulture, medicine and psychiatry2019

Traditional Chinese Medicine Explanatory Models of Depressive Disorders: A Qualitative Study.

Wan Kam, Zhang-Jin Zhang, Sofie Bäärnhielm

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Culture, medicine and psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
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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

3 authors at 2 institutions in 2 countries.

Wan KamTranscultural Centre, North Stockholm Psychiatric Clinic, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-4057-0652
Zhang-Jin ZhangThe University of Hong Kong School of Chinese Medicine, 10 Sassoon Road, Pokfulam, Hong Kong, China.
Sofie BäärnhielmTranscultural Centre, North Stockholm Psychiatric Clinic, Stockholm, Sweden. sofie.baarnhielm@sll.se.ORCID http://orcid.org/0000-0002-5303-9166
Chinese University of Hong Kong · HKKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional Chinese medicine (TCM) is an alternative medical system utilised by many Chinese. However, the knowledge of TCM concepts of depression is limited amongst clinicians with training in Western biomedicine. The purpose of this study was to obtain a better understanding of the conceptualisation of depression from a group of TCM practitioners. Semi-structured interviews in Chinese were carried out with 10 TCM practitioners in Hong Kong. A case description of major depression disorder (MDD) was used as a basis. Interview texts were transcribed, translated and analysed using qualitative content analysis. Most informants identified the case as a depression pattern, a term that lacked clear definition and standardised criteria. The mechanism of disease for MDD symptoms were regarded to be liver-qi dysregulation and an imbalance of yin and yang. The TCM practitioners implemented individualised diagnosis, treatment, and a holistic concept without clear distinction between the mind and the body. This contrasted with the biomedical tradition of separating psychologisation and somatisation. The meanings given to the concept of depression did not correspond with current DSM or ICD definitions, and the TCM normativity can result in variations in explanatory models.

Indexed as

Medicine, Chinese TraditionalAdultDepressive DisorderEthnopsychologyFemaleHong KongHumansInterviews as TopicMaleMiddle AgedQualitative ResearchCultural psychiatryDepressionExplanatory modelTraditional Chinese Medicine

Identifiers

PMID30963358
OpenAlexW2938139787

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.