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This study aims to examine the use of cryptocurrencies and transactions in medical tourism and to discuss how this use provides advantages to healthcare institutions and states that provide medical tourism services.

This study is a descriptive, cross-sectional, correlational and methodological quantitative research. Data were collected through a questionnaire with 555 potential medical tourists. Data were analyzed with Pearson correlation and hierarchical regression using STATA.

The correlation results showed a statistically significant high and positive correlation between the use of cryptocurrencies and transactions in medical tourism and the medical tourist's intention. The variables that contributed to the medical tourist's intention were monetary risk minimization, access-security and malpractice-civil trial in the highest order of contribution. Accordingly, the monetary risk minimization was the most contributing to the medical tourist's intention.

This study provides a piece of initial empirical evidence on the contribution of using cryptocurrencies and transactions in medical tourism.

This meta-analysis aimed to examine health professionals' job satisfaction and organizational commitment.

This research was conducted using the meta-analysis method, one of the quantitative research methods. A preliminary literature search was conducted to determine keywords over the internet access network. With screening, keywords such as “Organizational commitment,” “Organizational loyalty,” “Job satisfaction,” “job satisfaction,” “Healthcare worker,” “Organizational commitment,” “Organizational faith,” “job satisfaction,” “Job saturation” keywords in Turkish and English were determined. Nine full-text articles published in peer-reviewed journals between 2014–2020 from the electronic databases of Google Scholar, Web of Science, Scopus, Science Direct, EKUAL and Google Academic were included in the meta-analysis. The study's effect size and publication bias included in the meta-analysis were calculated using the CMA 3 (Comprehensive meta-analysis) program.

The total sample number of the studies included in the analysis is 7,218. According to the random effects model, the overall effect size between job satisfaction and organizational commitment was statistically significant, with a value of 0.544 (confidence interval [CI]; 0.445–0.629; p < 0.05). This effect size was found to be moderate, according to Cohen's classification.

As a result of this meta-analysis, it was determined that there is a mutual interaction between job satisfaction and organizational commitment based on the cause–effect relationship. The findings obtained determined that job satisfaction has more power to affect organizational commitment positively.