The rapid development of digital health poses a critical challenge to the personal health data protection of patients. The European Union General Data Protection Regulation (EU GDPR) works in this context; it was passed in April 2016 and came into force in May 2018 across the European Union. This study is the first attempt to test the effectiveness of this legal reform for personal health data protection. Using the difference-in-difference (DID) approach, this study empirically examines the policy influence of the GDPR on the financial performance of hospitals across the European Union. Results show that hospitals with the digital health service suffered from financial distress after the GDPR was published in 2016. This reveals that during the transition period (2016–2018), hospitals across the European Union indeed made costly adjustments to meet the requirements of personal health data protection introduced by this new regulation, and thus inevitably suffered a policy shock to their financial performance in the short term. The implementation of GDPR may have achieved preliminary success.
This study investigates the relationship between internalized stigmatization brought on by epicenter travel experiences and mental health problems (including anxiety, depression, and shame) during the period of the novel coronavirus disease emergency in China. The cross-sectional data were collected using the time-lag design to avoid the common method bias as much as possible. Regression results using structural equation modeling show that the internalized stigmatization of epicenter travel experiences may have positive relationships with mental health problems (i.e., anxiety, depression, and shame), and such relationships can be moderated by social support. Specifically, the positive relationships between internalized stigmatization and mental health problems are buffered/strengthened when social support is at a high/low level. The findings of this study suggest that, in this epidemic, people who have epicenter travel experience could be affected by internalized stigmatization, no matter whether they have ever got infected.
Summary
Chronic disease patients have long suffered from mental health problems because of the long‐lasting and costly treatments. Although the multilevel social health insurance system in China attempts to provide them with full‐fledged health insurance coverage, the increasing prevalence of gig economy unexpectedly disrupts this situation. As the social health insurance system in China is closely associated with employment status, unemployed rural‐to‐urban migrant workers/regular urban workers have to accept the transition from urban employee basic medical insurance (UEBMI) to new cooperative medical scheme (NCMS)/urban resident basic medical insurance (URBMI). This study investigates the influence of this involuntary health insurance transition on the mental health of chronic disease patients. Empirical results show that the experience of transition from UEBMI to NCMS would significantly deteriorate the mental health of chronic disease patients, while the transition from UEBMI to URBMI would not. Accordingly, chronically ill rural‐to‐urban migrant workers are vulnerable to the involuntary health insurance transition that further deteriorates their mental health, and the multilevel social health insurance system in China cannot cope well with the emerging phenomenon of frequent employment change in labor market.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.