BACKGROUND The past few decades have seen an exponential increase in using mobile phones to support medical care (“mHealth”) among people living with psychosis worldwide, yet little is known about WeChat use and WeChat-based mHealth among people living with schizophrenia (PLS) in China. OBJECTIVE The present study aims to assess WeChat use, endorsement of WeChat-based mHealth programs, and health related to WeChat use among PLS. METHODS We recruited a random sample of 400 PLS from 12 communities were recruited in Changsha City of Hunan Province, China. WeChat use was assessed using the adapted WeChat Use Intensity Questionnaire (WUIQ). We also measured psychiatric symptoms, functioning, disability, recovery, quality of life, and general wellbeing using a series of internationally standardized instruments. RESULTS WeChat use rate was 41% in this sample (163/400). Thirty percent had more than 50 WeChat friends and nearly half spent more than half an hour on WeChat, a pattern similar to college students and the elderly. PLS also showed higher emotional connectedness to WeChat use than college students. Eighty percent of PLS were willing to participate in a WeChat-based mHealth program, including psychoeducation (56%), professional support (50%), and peer support (41%). Compared to non-users, WeChat users were younger, better-educated, and more likely to be employed. WeChat use was associated with improved health outcomes, including lower psychiatric symptoms, lower disability, higher functioning, better recovery, higher quality of life, and better general well-being. CONCLUSIONS WeChat-based mHealth programs hold promise as an empowering tool to provide cost-effective interventions, to foster global recovery, and to improve both physical and mental wellbeing among people with schizophrenia. WeChat and WeChat-based mHealth programs has the potential to offer a new path to recovery and wellbeing for people living with schizophrenia in China. CLINICALTRIAL NA
Schizophrenia is a persistent and debilitating mental illness, whose prognosis depends largely on supportive care and systematic treatment. In developing countries like China, family constitute the major caregiving force for schizophrenia and are faced with many challenges, such as lack of knowledge, skills and resources. How to support family caregiving in an accessible, affordable, feasible and cost-effective way remains unresolved. The widely spread use of WeChat provides a promising and cost-effective medium for support. The current study aims to assess a WeChat WeChat-based integrative family intervention (WIFI) to support family caregiving of schizophrenia. A WIFI program will be developed that include three core components: 1) psycho-education through WeChat Official Account (WOA), 2) peer support through WeChat chat group, and 3) professional support through WeChat video chat. A rigorous stepped wedge cluster randomized trial will be used to evaluate the implementation, effectiveness, and cost of the WIFI program. The WIFI program will be implemented in 12 communities affiliated with the Changsha psychiatric hospital through the free medicine delivery process in the 686 Program. The 12 communities will be randomized to one of four fixed sequences every two months during an 8-month intervention period in four clusters of 3 communities each. Outcomes will be assessed for both family caregivers and the family member with schizophrenia. Family caregivers will be assessed for their knowledge and skills about caregiving, social support and coping, perceived stigma, caregiver burden, family functioning, positive feelings, and psychological distress. Schizophrenia individuals will be assessed for their symptoms and functioning, quality of life, recovery and rehospitalization. Cost data such as costs of the intervention, health care utilization, and costs associated with lost productivity will also be collected. In addition, we will collect process data including fidelity and quality of program implementation as well as users’ attitudes will also be collected. Treatment effects will be estimated using generalized linear maximum likelihood mixed modeling (GLMM) with clusters as a random effect and time as a fixed effect. Cost-effectiveness analysis will be performed from the societal perspective using incremental cost effectiveness ratios (ICERs). Qualitative analysis will use the grounded theory approach and immersion-crystallization process. The study was funded in August 2018, approved by IRB on Jan 15th 2019. Preliminary baseline data collection was conducted in May 2019 and completed in Sep 2019. The WIFI intervention is expected to start in May 2020. This is the first study to test a WeChat-based mHealth intervention to support family caregiving of schizophrenia in China. The innovative study will contribute to the development of a more cost-effective and evidence-based family management model in the community for schizophrenia individuals, and potentially be integrated into national policy and adapted for use with other populations. Nct04393896
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