Evidence map›Paper›PMID 30642305›Full record

ArticleBMC psychiatry2019

Understanding the public's profile of mental health literacy in China: a nationwide study.

Debbie Huang, Lawrence H Yang, Bernice A Pescosolido

Abstract read
In one paragraph

Article in BMC psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
–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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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.

Debbie HuangMailman School of Public Health, Columbia University, 722 W. 168th St., New York, NY, 10032, USA.
Lawrence H YangMailman School of Public Health, Columbia University, 722 W. 168th St., New York, NY, 10032, USA.
Bernice A PescosolidoDepartment of Sociology, Indiana University, 1022 E Third St, Bloomington, IN, 47405, USA. pescosol@indiana.edu.ORCID 0000-0002-3690-5878

Funding

RESEARCH TRAINING PROGRAM IN PSYCHIATRIC EPIDEMIOLOGYT32MH013043 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Katherine M. Keyes · 1985 to 2026
$11.7M
Characterizing Cognition across the Lifespan in untreated psychosis in ChinaR01MH108385 · NIMH · NEW YORK UNIVERSITY · PI KESHAVAN, MATCHERI S., PHILLIPS, MICHAEL ROBERT · 2015 to 2019
$4.0M
Stigma and Mental Illness in Cross-National PerspectiveR01TW006374 · FIC · TRUSTEES OF INDIANA UNIVERSITY · PI PESCOSOLIDO, BERNICE A. · 2003 to 2007
$3.3M
Stigma of Mental Illness in China: Extending the SGC-MHSR01MH082871 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI PESCOSOLIDO, BERNICE A. · 2010 to 2012
$856k
FIC NIH HHS R01 TW006374NIMH NIH HHS R01 MH082871NIMH NIH HHS R01 MH108385NIMH NIH HHS T32 MH013043
6 · The paper itself

Abstract

backgroundIn the wake of China's massive economic development, attention has only recently turned to the enormous treatment gap that exists for mental health problems. Our study is the first comprehensive, national examination of the levels and correlates of the public's ability to recognize mental illness in the community and suggest sources of help, setting a baseline to assess contemporary Chinese efforts.

methodsData were collected in China as part of the Stigma in Global Context - Mental Health Study (SGC-MHS) through face-to-face interviews using vignettes meeting clinical criteria for schizophrenia and major depression. Our analysis targets the Han Chinese participants (n = 1812). Differences in the recognition of mental health problems were assessed using a chi-square test and further stratified by vignette illness type and urban vs. rural residence. Adjusted regression models estimated the effects of each predictor towards the endorsement three types of help-seeking: medical doctor, psychiatrist, and mental health professional.

resultsAs expected, recognition of mental health problems is low; it is better for depression and most accurate in urban areas. Perceived severity increases endorsement of the need for care and for treatment by all provider types. Recognition of a mental health problem specifically decreases endorsement of medical doctors while increasing recommendations for psychiatrists and mental health professionals. Neurobiological attributions decrease recommendations for mental health professionals as opposed to general or specialty physicians.

conclusionsContinued efforts are needed in China to promote mental illness recognition within rural areas, and of schizophrenia specifically. Promoting recognition of mental illness, while balancing the special challenges among individuals who understand the neurobiological roots of mental illness, may constitute a key strategy to reduce the sizeable mental health treatment gap in China.

Indexed as

Health Knowledge, Attitudes, PracticeAdultAgedChinaFemaleHealth LiteracyHealth PersonnelHumansMaleMental DisordersMental HealthMiddle AgedPsychiatryRural PopulationSocial StigmaGlobal mental healthMental health literacyMental health recognitionMental health service-usePsychiatric epidemiology

Identifiers

PMID30642305
PMCPMC6332702

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.