scholarly journals Household economic burden and outcomes of patients with schizophrenia after being unlocked and treated in rural China

2019 ◽  
Vol 29 ◽  
Author(s):  
L. Xu ◽  
T. Xu ◽  
W. Tan ◽  
B. Yan ◽  
D. Wang ◽  
...  

Abstract Aims Patients with severe mental disorders in low-resource settings have limited access to services, resulting in overwhelming caregiving burden for families. In extreme cases, this has led to the long-term restraining of patients in their homes. China underwent a nationwide initiative to unlock patients and provide continued treatment. This study aims to quantify household economic burden in families after unlocking and treatment, and to identify factors associated with increased burden due to schizophrenia. Methods A total of 264 subjects were enrolled from three geographically diverse provinces in 2012. Subjects were patients with schizophrenia who were previously put under restraints and had participated in the ‘unlocking and treatment’ intervention. The primary outcome was the current household economic burden, obtained from past year financial information collected through on-site interview. Patient disease characteristics, treatment, outcomes and family caregiving burden were collected as well. Univariate and multivariate linear regression were used to construct risk factor models for indirect economic burden. Results After participating in the intervention, 85% of patients continued to receive mental health services, 70% used medication as prescribed and 80% were never relocked. Family members reported significantly decreased caregiving burden after receiving the intervention. Mean direct and indirect household economic burdens were CNY963 (US$31.7) and CNY11 724 (US$1670) per year, respectively, while family total income was on average CNY12 108 (US$1913) per year. Greater disease severity and poorer patient psychosocial function at time of study were found to be independent factors related to increased indirect burden. Conclusions The ‘unlocking and treatment’ intervention has improved the lives of patients and families. Indirect burden due to disease is still a major economic issue that needs to be addressed, potentially through improving treatment and patient functioning. Our findings contribute to the unravelling and eventual elimination of chronic restraining of mentally ill patients in low-resource settings.

2016 ◽  
Vol 03 (02) ◽  
pp. 079-083
Author(s):  
Lawrence Mbuagbaw ◽  
Francisca Monebenimp ◽  
Bolaji Obadeyi ◽  
Grace Bissohong ◽  
Marie-Thérèse Obama ◽  
...  

2020 ◽  
Author(s):  
Afework Kassu ◽  
Getnet Yimer ◽  
Solomon Benor ◽  
Kassahun Tesfaye ◽  
Yifokre Tefera ◽  
...  

2009 ◽  
Vol 2 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Allison Bingham ◽  
Amynah Janmohamed ◽  
Rosario Bartolini ◽  
Hilary M. Creed-Kanashiro ◽  
Yanuar Ruhweza Katahoire ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
pp. 24
Author(s):  
Victoria Abou-Khalil ◽  
Samar Helou ◽  
Eliane Khalifé ◽  
MeiRong Alice Chen ◽  
Rwitajit Majumdar ◽  
...  

We aim to identify the engagement strategies that higher education students, engaging in emergency online learning in low-resource settings, perceive to be effective. We conducted a sequential mixed-methods study based on Moore’s interaction framework for distance education. We administered a questionnaire to 313 students engaging in emergency online learning in low-resource settings to examine their perceptions of different engagement strategies. Our results showed that student–content engagement strategies, e.g., screen sharing, summaries, and class recordings, are perceived as the most effective, closely followed by student–teacher strategies, e.g., Q and A sessions and reminders. Student–student strategies, e.g., group chat and collaborative work, are perceived as the least effective. The perceived effectiveness of engagement strategies varies based on the students’ gender and technology access. To support instructors, instructional designers, and researchers, we propose a 10-level guide for engaging students during emergency online classes in low-resource settings.


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