Evidence map›Paper›PMID 25770277›Full record

ReviewThe journal of the American Academy of Psychiatry and the Law2015

Approaches to involuntary admission of the mentally ill in the People's Republic of China: changes in legislation from 2002 to 2012.

Yang Shao, Bin Xie

Abstract readComparative StudyReview
In one paragraph

Review in The journal of the American Academy of Psychiatry and the Law, 2015. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Yang ShaoDr. Shao is a psychiatrist and Dr. Xie is Medical Director, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Bin XieDr. Shao is a psychiatrist and Dr. Xie is Medical Director, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China. xiebin@smhc.org.cn.

Funding

Training Program in International Mental HealthD43TW005809 · FIC · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI GOOD, BYRON J. · 2001 to 2010
$2.3M
Building Research Capacity to Improve Mental Health in China across the LifespanD43TW009081 · FIC · HARVARD MEDICAL SCHOOL · PI GOOD, BYRON J., GOOD, MARY-JO DELVECCHIO · 2011 to 2015
$1.2M
FIC NIH HHS D43 TW005809FIC NIH HHS D43 TW009081FIC NIH HHS D43 TW05809
6 · The paper itself

Abstract

A systematic analysis of laws on involuntary commitment of mentally ill individuals in China has never been undertaken. In this article, we explore the trajectory of the legislation and discuss the social and cultural factors underlying the changes in the laws. In this description and analysis of the differences and similarities in the current legal framework and procedures for involuntary commitment of the mentally ill across the mental health regulations of seven localities and the National Mental Health Law, one can see a gradual trend toward more stringent legislation during the past 10 years. The compromises, reversals, and circuitous course of the legislative process reflect the difficulties that the government faced in achieving a balance between benefits to society and the individual as it attempted to revamp the delivery of mental health services. The 2012 National Mental Health Law, despite some weaknesses, is an important step toward standardizing the diverse practices in involuntary admission of mentally ill persons in China. Further research on the influence of the National Law on mental health services is clearly needed.

Indexed as

Cross-Cultural ComparisonGovernment RegulationBarbadosChinaCommitment of Persons with Psychiatric DisordersHuman Rights AbusesHumans

Identifiers

PMID25770277
PMCPMC4379039

What OpenQuestion holds

Textmetadata
LicenceTDM
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.