Background: To gain insights into the socio-economic and political determinants of ill health and access to healthcare in North Korea. Methods: A retrospective survey using respondent-driven sampling conducted in 2014–15 among 383 North Korean refugees newly resettling in South Korea, asking about experiences of illness and utilization of healthcare while in North Korea, analyzed according to measures of political, economic and human rights indicators. Results: Although the Public Health Act claims that North Korea provides the comprehensive free care system, respondents reported high levels of unmet need and, among those obtaining care, widespread informal expenditure. Of the respondents, 55.1% (95%CI, 47.7–63.7%) had received healthcare for the most recent illness episode. High informal costs (53.8%, 95%CI, 45.1–60.8%) and a lack of medicines (39.5%, 95%CI, 33.3–47.1%) were reported as major healthcare barriers resulting in extensive self-medication with narcotic analgesics (53.7%, 95%CI, 45.7–61.2%). In multivariate logistic regressions, party membership was associated with better access to healthcare (Adjusted OR (AOR) = 2.34, 95%CI, 1.31–4.18), but household income (AOR = 0.40, 95%CI 0.21–0.78) and informal market activity (AOR = 0.29, 95%CIs 0.15–0.50) with reduced access. Respondents who could not enjoy political and economic rights were substantially more likely to report illness and extremely reduced access to care, even with life-threatening conditions. Conclusions: There are large disparities in health and access to healthcare in North Korea, associated with political and economic inequalities. The scope to use these findings to bring about change is limited but they can inform international agencies and humanitarian organizations working in this unique setting.

Despite recent progress in Afghanistan’s health system from the support of international donors and NGOs, protracted conflicts combined with a series of natural disasters have continued to present substantial health risks. Extreme poverty has still aggravated social determinants of health and financial barriers to healthcare. Little is known about the context-specific factors influencing access to healthcare in the crisis-affected population. Using a subset of data from ‘Whole of Afghanistan Assessment (WoAA) 2019’, this study analyzed 31,343 households’ data, which was collected between 17 July and 19 September 2019 throughout all 34 provinces in Afghanistan. The outcome measured was access to care in the healthcare facility, and multivariable binary logistic regression models were used to identify the specific factors associated with access to healthcare. Of 31,343 households exposed to complex emergencies in Afghanistan, 10,057 (32.1%) could not access healthcare facilities when one was needed in last three months. The access to healthcare was significantly associated with displacement status, economic factors such as employment status or total monthly income, and the distance to healthcare facilities. Significant increase in healthcare access was associated with factors related to communication and access to information, such as awareness of humanitarian assistance availability and mobile phone with a SIM card, while disability in cognitive function, such as memory or concentration, was associated with poorer healthcare access. Our findings indicate that the crisis-affected population remains vulnerable in access to healthcare, despite the recent improvements in health sectors. Digital determinants, such as access to mobile phone, need to be addressed along with the healthcare barriers related to poverty and household vulnerabilities. The innovative humanitarian financing system using mobile communication and cash transfer programs would be considerable for the conflict-affected but digitally connected population in Afghanistan.

Little is understood of the social and cultural effects of coronaviruses such as coronavirus disease 2019 (COVID-19), severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS-CoV). This systematic review aims to synthesize existing findings (both qualitative and quantitative) that focus on the social and cultural impacts of coronaviruses in order to gain a better understanding of the COVID-19 pandemic. Utilizing a predetermined search strategy, we searched CINAHL, PsycINFO, PubMed, and Web of Science to identify existing (qualitative, quantitative, and mixed-methods) studies pertaining to the coronavirus infections and their intersection with societies and cultures. A narrative synthesis approach was applied to summarize and interpret findings of the study. Stemming from SARS outbreak in 2003, qualitative and quantitative findings (twelve adopted quantitative methods and eight exclusively used qualitative methods) were organized under five topical domains: governance, crisis communication and public knowledge, stigma and discrimination, social compliance of preventive measures, and the social experience of health workers. The selected studies suggest that current societies are not equipped for effective coronavirus response and control. This mixed-methods systematic review demonstrates that the effects of coronaviruses on a society can be debilitating.

Purpose: The recent healthcare crisis in South Korea has exposed structural vulnerabilities in essential and regional care, vulnerabilities that are largely driven by a fee-for-service system prioritizing quantitative expansion over quality. This study addresses the urgent need for an artificial intelligence (AI)-driven digital transformation to sustain universal health coverage in the context of rapid demographic change.Current concepts: We propose an AI-driven healthcare system that shifts the care paradigm from reactive treatment toward proactive prevention. Central to this framework is the establishment of a “National Health Data Lakehouse,” a cloud-based infrastructure designed to enable real-time integration of electronic health records and personal health records. We further outline implementation strategies for AI Copilots supporting clinical decision-making, population health management platforms, and the digital transformation of public hospitals, with particular emphasis on ensuring data interoperability and security.Discussion and conclusion: This digital transformation enables a transition toward value-based purchasing and strengthens healthcare delivery through AI-assisted screening and the establishment of regional medical innovation centers. To realize this vision, comprehensive policy reforms are required, including strengthened data governance, clear legal frameworks addressing AI-related liability, and rational reimbursement models aligned with value-based care principles. Ultimately, an AI-integrated national strategy is essential for building a sustainable, equitable, and patient-centered healthcare ecosystem.