Cardiovascular disease (CVD) has a substantial financial impact on healthcare systems in the US. This study aimed to examine the impact of CVD on health insurance coverage and health service use under economic stress as indicated by the Great Recession in the US (December 2007–June 2009).

Data of 26,483 adults aged ≥ 20 years from the 2003–2012 National Health and Nutrition Examination Survey were analyzed. There were 9,479 adults assigned to the group “before the Great Recession” (2003–2006), 5,674 adults assigned to “during the Great Recession” (2007–2008), and 11,330 adults assigned to “after the Great Recession” (2009–2012).

Patients with CVD from low-income families were more likely to have health insurance during the recession (OR:1.57, 95% CI: 1.01,2.45). Those participants without CVD, who were from low-income families or < 65 years, were more likely to use the emergency room rather than primary care facilities to gain access to routine healthcare (p < 0.05). Patients with CVD from high-income families were also more likely to use the emergency room (p < 0.05). Patients with CVD but not those without CVD, who reported a high family income or were ≥ 65 years old, were less likely to use mental health services during the recession than before the recession.

Effective strategies need to be developed to promote primary care use among the general adult American population. In addition, use of mental health services among patients with CVD needs to be improved when financial stress occurs.

To investigate the chronological patterns of diseases in Northern Gyeonggi-do province, South Korea, and compare these with national data.

A National Health Insurance cohort based on the National Health Information Database (NHID Cohort 2002–2013) was used to perform a retrospective, population-based study (46,605,433 of the target population, of which 1,025,340 were randomly sampled) to identify disease patterns from 2002 to 2013. Common diseases including malaria, cancer (uterine cervix, urinary bladder, colon), diabetes mellitus, psychiatric disorders, hypertension, intracranial hemorrhage, bronchitis/bronchiolitis, peptic ulcer, and end stage renal disease were evaluated.

Uterine cervix cancer, urinary bladder cancer and colon cancer had the greatest rate of increase in Northern Gyeonggi-do province compared with the rest of the country, but by 2013 the incidence of these cancers had dropped dramatically. Acute myocardial infarction and end stage renal disease also increased over the study period. Psychiatric disorders, diabetes mellitus, hypertension and peptic ulcers showed a gradual increase over time. No obvious differences were found for intracranial hemorrhage or bronchitis/bronchiolitis between the Northern Gyeonggi-do province and the remaining South Korean provinces. Malaria showed a unique time trend, only observed in the Northern Gyeonggi province, peaking in 2004, 2007 and 2009 to 2010.

This study showed that the Northern Gyeonggi-do province population had a different disease profile over time, compared with collated data for the remaining provinces in South Korea. “Big data” studies using the National Health Insurance cohort database can provide insight into the healthcare environment for healthcare providers, stakeholders and policymakers.

General health examinations (GHE) have become an increasingly common measure for preventive medicine in Vietnam. However, little is known about the factors among Viet-namese people who attend or miss GHE. Budget or time constraints remain to be evaluated for better-informed policy making. This study investigates factors affecting behaviors in attending periodic GHE. The main objectives are as follows: (1) to explore empirical relationships between influencing factors and periodic GHE frequencies, and (2) to predict the probabilities of attending GHE under associated conditions.

The study used a 2,068-observational dataset, obtained from a Vietnamese survey in 2016. The analysis was then performed using the methods of baseline-category logits for establishing relationships between predictor and response variables.

Significant relationships were found among the expenditure and time consumption, health priority and sensitivity to health data, insurance status, and frequency of GHE, with most p-values = 0.01.

Generally, people attended the GHE when they had the resources and health priorities (72.7% probability). Expenditure and time remain key obstacles to the periodic GHE. Health priority and health data are important in improving rates for GHEs. Health insurance should play a positive role in promoting the GHE.