Evidence map›Paper›PMID 33292410›Full record

ArticleInternational journal of mental health systems2020

Common mental disorders among patients attending monk healers and primary health care centres in Thailand: a cross-sectional study.

Supa Pengpid, Karl Peltzer

Open access · goldAbstract read
In one paragraph

Article in International journal of mental health systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 13 citations in OpenAlex.

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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

2 authors at 2 institutions in 2 countries.

Supa PengpidASEAN Institute for Health Development, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand.
Karl PeltzerDepartment of Psychology, University of the Free State, Bloemfontein, South Africa. kfpeltzer@gmail.com.ORCID http://orcid.org/0000-0002-5980-0876
Mahidol University · THUniversity of the Free State · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to assess the rate of common mental disorders in patients consulting monk healers or health centres in Thailand.

methodsPatients consecutively consulting monk healers or health centres were assessed with screening measures of three common mental disorders (major depressive, general anxiety and somatization disorder).

resultsThe prevalence of any common mental disorder was significantly higher in patients attending monk healers (31.1%) than those attending primary care health centres (22.3%) (P < 0.001). Likewise, the prevalence of each common mental disorder was significantly higher in clients attending monk healers (major depressive disorder 21.0%, generalized anxiety disorder 8.1%, and somatization disorder 19.0%) than in patients attending health centres (major depressive disorder 15.8%, generalized anxiety disorder 3.5%, and somatization disorder 12.5%). In adjusted logistic regression analysis among patients of monk healers, female sex, being single, divorced, separated or widowed, and low social support were associated with any common mental disorder. Among patients of a health centre, lower education, not employed, high debt status and low social support were associated with any common mental disorder.

conclusionThe study found a higher prevalence of common mental disorders in patients consulting monk healers than primary care centre attendees, calling for integrated management of common mental disorders.

Indexed as

Common mental disordersMonk healerPrimary careThailand

Identifiers

PMID33292410
PMCPMC7640706
OpenAlexW3095019310

What OpenQuestion holds

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LicenceCC BY
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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.