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The prediction of behavioral intention to use online mental health interventions
Chuenphitthayavut, Krittipat1,2; Tang Zihuang1,2; Zhu, Tingshao1,2
First AuthorChuenphitthayavut, Krittipat
Correspondent Emailtszhu@psych.ac.cn
2020-01-19
Source PublicationPSYCH JOURNAL
ISSN2046-0252
Subtypearticle
Pages13
Contribution Rank1
Abstract

This cross-sectional study addresses two important contributions to understanding behavioral intention to use online mental health interventions: (a) to investigate the proposed behavioral intention model in predicting the use of online mental health interventions, and (b) to compare the proposed behavioral intention model in predicting the use of online mental health interventions between Chinese and Thai patients and between healthy individuals and those with mental health disorders. The samples included 250 Chinese respondents and 251 Thai respondents. Data were collected using Likert questionnaires with a reliability of 0.75 to 0.95 and analyzed via confirmatory factor analysis and multigroup structural equation modeling. The structural model of behavioral intention to use online mental health intervention was shown the significant acceptances on indices in overall group. However, the result did not enhance the previous literature review according to the proposed behavioral intention model. Most latent variables in this study did not show an influence on behavioral intention to use online mental health services. Individual characteristics, particularly mental health literacy, only significantly predicted behavioral intention to use online mental health interventions. However, significant influences in some observed variables were detected, such as informational support and emotional support in social support, including media and the general public in social influence. Comparing the multigroup model, no difference in the causal relationship model between Chinese and Thai patients was found, but a difference between healthy individuals and those with mental health disorders, especially individual characteristics to behavioral intention path and social support to attitude toward use path, was found. Results highlight the benefits of further development and patient education of online mental health services in the future.

Keyworddepression digital cognitive behavior therapy (CBT) e-mental health services suicide ideation telemedicine
DOI10.1002/pchj.333
Indexed BySCI
Language英语
Funding OrganizationNational Basic Research Program of China ; China Social Science Fund ; National Social Science Fund of China ; CSC Scholarship ; Chinese Government Scholarships (CGS) by the Chinese Scholarship Council
Funding ProjectNational Basic Research Program of China[2014CB744600] ; China Social Science Fund[Y8JJ183010] ; National Social Science Fund of China[16AZD058] ; CSC Scholarship ; Chinese Government Scholarships (CGS) by the Chinese Scholarship Council
WOS Research AreaPsychology
WOS SubjectPsychology, Multidisciplinary
WOS IDWOS:000507939200001
PublisherWILEY
WOS KeywordTECHNOLOGY ACCEPTANCE MODEL ; PERSONAL INNOVATIVENESS ; SUICIDAL IDEATION ; DEPRESSION ; LITERACY ; DISORDERS ; SERVICES ; BELIEFS ; ANXIETY ; PHQ-9
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/30619
Collection社会与工程心理学研究室
Corresponding AuthorZhu, Tingshao
Affiliation1.Chinese Acad Sci, Inst Psychol, 16th Lincui Rd, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Chuenphitthayavut, Krittipat,Tang Zihuang,Zhu, Tingshao. The prediction of behavioral intention to use online mental health interventions[J]. PSYCH JOURNAL,2020:13.
APA Chuenphitthayavut, Krittipat,Tang Zihuang,&Zhu, Tingshao.(2020).The prediction of behavioral intention to use online mental health interventions.PSYCH JOURNAL,13.
MLA Chuenphitthayavut, Krittipat,et al."The prediction of behavioral intention to use online mental health interventions".PSYCH JOURNAL (2020):13.
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