PMID- 33362979 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20220419 IS - 2167-8359 (Print) IS - 2167-8359 (Electronic) IS - 2167-8359 (Linking) VI - 8 DP - 2020 TI - WeChat-based mHealth intention and preferences among people living with schizophrenia. PG - e10550 LID - 10.7717/peerj.10550 [doi] LID - e10550 AB - BACKGROUND: The past few decades have seen a rapid expansion of mHealth programs among people with serious mental illness, yet mHealth for schizophrenia is in a much earlier stage of development. This study examined the intention of WeChat-based mHealth programs among people living with schizophrenia (PLS) and evaluated correlates of the intention. METHODS: A total of 400 PLS aged 18-77 completed a cross-sectional survey by face-to-face interviews. The survey included a general question asking about participants' willingness to attend WeChat-based mHealth programs, followed by preferences of three specific WeChat-based programs: psychoeducation, peer support, and professional support. PLS symptoms, functioning and disability were measured using the 18-item Brief Psychiatric Rating Scale (BPRS-18), the Global Assessment of Functioning (GAF), and the 12-item World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0), respectively. A multivariate logistic regression was used to determine correlates of program participation intention. RESULTS: Over forty percent (43%, n = 172) of participants were willing to participate in WeChat-based mHealth programs, among whom preferences for each specific program were shown in descending order: psychoeducation (68.60%), professional support (60.47%), and peer support (52.33%). A multivariate analysis revealed that younger age (OR: 0.13-0.20, 95% CI [0.05-0.43]), higher education (OR: 3.48-6.84, 95% CI [1.69-18.21]), and lower disability (OR: 0.97, 95% CI [0.94-0.99]) were all independently associated with WeChat-based mHealth program participation intention. CONCLUSION: The findings provide guidance for further development of WeChat-based mHealth programs among PLS in China, and targeted at those who are younger, well-educated and with lower disability. CI - (c)2020 Xiao et al. FAU - Xiao, Shuiyuan AU - Xiao S AD - Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, Hunan, China. FAU - Li, Tongxin AU - Li T AD - Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, Hunan, China. FAU - Zhou, Wei AU - Zhou W AD - School of Public Administration, Hunan University, Changsha, Hunan, China. FAU - Shen, Minxue AU - Shen M AD - Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, Hunan, China. FAU - Yu, Yu AU - Yu Y AD - Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, Hunan, China. AD - Division of Prevention and Community Research, Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States of America. LA - eng PT - Journal Article DEP - 20201216 PL - United States TA - PeerJ JT - PeerJ JID - 101603425 PMC - PMC7749651 OTO - NOTNLM OT - Chinese OT - Intention OT - Preferences OT - Schizophrenia OT - WeChat OT - mHealth COIS- The authors declare there are no competing interests. EDAT- 2020/12/29 06:00 MHDA- 2020/12/29 06:01 PMCR- 2020/12/16 CRDT- 2020/12/28 11:57 PHST- 2020/09/08 00:00 [received] PHST- 2020/11/20 00:00 [accepted] PHST- 2020/12/28 11:57 [entrez] PHST- 2020/12/29 06:00 [pubmed] PHST- 2020/12/29 06:01 [medline] PHST- 2020/12/16 00:00 [pmc-release] AID - 10550 [pii] AID - 10.7717/peerj.10550 [doi] PST - epublish SO - PeerJ. 2020 Dec 16;8:e10550. doi: 10.7717/peerj.10550. eCollection 2020.