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Long-Term Outcomes of Unlocking Chinese Patients with Severe Mental Illness

Overview of attention for article published in Psychiatric Quarterly, April 2018
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Title
Long-Term Outcomes of Unlocking Chinese Patients with Severe Mental Illness
Published in
Psychiatric Quarterly, April 2018
DOI 10.1007/s11126-018-9575-6
Pubmed ID
Authors

Yun-Shu Zhang, Ke-Qing Li, Jian-Hua Sun, Wei Li, Zhi-Hua Tong, Bao-Ping Yan, Gabor S. Ungvari, Chee H. Ng, Yu-Tao Xiang

Abstract

In 2006, the "unlocking program" was implemented in Hebei province, China to promote the human rights for people with severe mental illness who were physically restrained at home. We assessed the long term outcomes of the "unlocking program" following the provision of hospital and community psychiatric care over 10 years and explored their associated factors. A total of 107 patients with severe mental illness who were "unlocked" in the program were included. Outcome measures were collected with standardized rating scales at 2 separate time points in August 2012 and November 2016. Poor outcome was defined either as being relocked, or missing to follow up or death. In 2012, 36 patients (33.6%) had poor outcomes. Poor outcome was positively associated with follow-up length and less caregiver burden at baseline. By 2016, 53 patients (49.5%) were found to have poor outcomes. There was only a trend of positive association between poor outcome and less caregiver burden at baseline. Poor long-term outcomes were common in patients with severe mental illness following the "unlocking program". Evidence-based treatment strategies and mental health services to improve the outcomes and protect the human rights of patients subjected to being locked in the community are urgently needed.

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Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Student > Ph. D. Student 4 11%
Student > Master 3 8%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 4 11%
Unknown 14 39%
Readers by discipline Count As %
Nursing and Health Professions 4 11%
Psychology 4 11%
Social Sciences 3 8%
Medicine and Dentistry 2 6%
Economics, Econometrics and Finance 1 3%
Other 4 11%
Unknown 18 50%