Willingness to pay for National Health Insurance Services and Associated Factors in Africa and Asia: a systematic review and meta-analysis.

Background: Universal health coverage (UHC) is crucial for public health, poverty eradication, and economic growth. However, 97% of low- and middle-income countries (LMICs), particularly Africa and Asia, lack it, relying on out-of-pocket (OOP) expenditure. National Health Insurance (NHI) guarantees equity and priorities aligned with medical needs, for which we aimed to determine the pooled willingness to pay (WTP) and its influencing factors from the available literature in Africa and Asia. Methods: Database searches were conducted on Scopus, HINARI, PubMed, Google Scholar, and Semantic Scholar from March 31 to April 4, 2023. The Joanna Briggs Institute's (JBI's) tools and the "preferred reporting items for systematic reviews and meta-analyses (PRISMA) 2020 statement" were used to evaluate bias and frame the review, respectively. The data were analyzed using Stata 17. To assess heterogeneity, we conducted sensitivity and subgroup analyses, calculated the Luis Furuya-Kanamori (LFK) index, and used a random model to determine the effect estimates (proportions and odds ratios) with a p value less than 0.05 and a 95% CI. Results: Nineteen studies were included in the review. The pooled WTP on the continents was 66.0% (95% CI, 54.0-77.0%) before outlier studies were not excluded, but increased to 71.0% (95% CI, 68-75%) after excluding them. The factors influencing the WTP were categorized as socio-demographic factors, income and economic issues, information level and sources, illness and illness expenditure, health service factors, factors related to financing schemes, as well as social capital and solidarity. Age has been found to be consistently and negatively related to the WTP for NHI, while income level was an almost consistent positive predictor of it. Conclusion: The WTP for NHI was moderate, while it was slightly higher in Africa than Asia and was found to be affected by various factors, with age being reported to be consistently and negatively related to it, while an increase in income level was almost a positive determinant of it.

Explaining migration intention from selected psycho-social variables in South Wollo, Ethiopia.

Migration has become one of the challenging global issues of the twenty-first century. Therefore, analyzing the intention to migrate is essential to develop clear strategies to manage actual migration. This research aimed to investigate emigration intention predictors (namely place attachment, attitude, national pride, subjective social norm, and perceived behavioral control) and the interaction effect of social networks between those predictors and migration intention. A sample of 701 high school students participated in the research. Exploratory Factor Analysis and Confirmatory Factor Analysis were employed to explore the dimension and loading of items respectively. To test the moderation effect of social networks on migration intention and the predictor variables, structural equation modeling was employed using Amos version 27. The findings indicated that Attitude, National pride, subjective social norm, and perceived behavioral control predict youths' emigration intention. The result also revealed that social network strengthens the negative correlation between place attachment and intention to migrate only if the individuals have a high social network. The social network also moderates the relationship between attitude and emigration intention.