An Indonesian model of well-being: The integration of universal and cultural factors.

The current study examined a predictive model of both universal factors (socioeconomic, neuroticism, and extraversion) and culturally specific factors (sense of community, trust, and self-construal) towards the well-being of Indonesians. A nationally representative sample (N = 929) was recruited across the nation to complete a survey in either online or offline format. The survey contained a measure of well-being as well as demographic, psychosocial, and cultural variables. Analysis via hierarchical multiple regression showed that both universal and cultural factors were associated with well-being in this Indonesian sample. In particular, once the cultural factors were added to the model, there were changes in universal factor effects to well-being. The finding of this study recognized the multidimensional model of well-being and supports the importance of evaluating well-being at the dimensional level to allow for an exploration of the nuanced relationship between distinct indicators and facets of well-being. The theoretical implications of these results and future directions were also discussed in this study.

Digital Mental Health Resources for Asylum Seekers, Refugees, and Immigrants: Protocol for a Scoping Review.

BACKGROUND: Asylum seekers, refugees, and immigrants experience a number of risk factors for mental health problems. However, in comparison to the host population, these populations are less likely to use mental health services. Digital mental health approaches have been shown to be effective in improving well-being for the general population. Thus, they may provide an effective and culturally appropriate strategy to bridge the treatment gap for these populations vulnerable to mental health risks. OBJECTIVE: This paper aims to provide the background and rationale for conducting a scoping review on digital mental health resources for asylum seekers, refugees, and immigrants. It also provides an outline of the methods and analyses, which will be used to answer the following questions. What are the available digital mental health resources for asylum seekers, refugees, and immigrants? Are they effective, feasible, appropriate, and accepted by the population? What are the knowledge gaps in the field? METHODS: The scoping review methodology will follow 5 phases: identifying the research question; identifying relevant studies; study selection; charting the data; and collating, summarizing, and reporting the results. Searches will be conducted in the following databases: EBSCOhost databases (CINAHL Plus with Full Text, MEDLINE with Full Text, APA PsycArticles, Psychology and Behavioral Sciences Collection, and APA PsycInfo), PubMed, and Scopus. Additionally, OpenGrey, Mednar, and Eldis will be searched for gray literature. All primary studies and gray literature in English concerning the use of information and communication technology to deliver services addressing mental health issues for asylum seekers, refugees, and immigrants will be included. RESULTS: This scoping review will provide an overview of the available digital mental health resources for asylum seekers, refugees, and immigrants and describe the implementation outcomes of feasibility, acceptability, and appropriateness of such approaches for those populations. Potential gaps in the field will also be identified. CONCLUSIONS: As of February 2020, there were no scoping reviews, which assessed the effectiveness, feasibility, acceptability, and appropriateness of the available digital mental health resources for asylum seekers, refugees, and immigrants. This review will provide an extensive coverage on a promising and innovative intervention for such populations. It will give insight into the range of approaches, their effectiveness, and progress in their implementation. It will also provide valuable information for health practitioners, policy makers, and researchers working with the population. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/19031.