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The objective of universal health care systems is to achieve equality in the use of health services at the same level of care need. This study evaluates the relationship of socioeconomic position with the frequency of doctor visits in subjects with and without chronic diseases in Germany and Spain. The dependent variables included number of consultations and if a medical consultation occurred. The socioeconomic factors were income and education. The magnitude of the relationship between socioeconomic position and medical consultation frequency was estimated by calculating the percentage ratio using binomial regression and by calculating the difference in consultations by analysis of the covariance, in the case of number of visits. Statistically significant findings according to education were not observed. The percentage ratio in the medical consultations among those with lower and higher income was 1.03 (95% confidence interval [CI] 1.01-2.88) in Germany and 1.11 (95% CI 1.03-1.20) in Spain among subjects with any of the studied chronic conditions. Also, in Germany the difference in the average number of consultations comparing lower income subjects with higher was 3.98 (95% CI 2.40-5.57) in those with chronic conditions. In both countries, there were no differences in the frequency of doctor visits according to education. However, a pro-inequality trend exists in favor of subjects with lower income.

BackgroundThere is little information on the differential impact of the COVID-19 pandemic on mortality by occupation. The objective was to examine changes in mortality during the COVID-19 period compared with the prepandemic period in different occupational groups in Spain.MethodsAverage mortality in the entire period 2020–2021, and each of its semesters, was compared, respectively, with the average mortality in the entire period 2017–2019, and the corresponding semester (first or second) of this last period, across occupational skill levels. For this, age-standardised death rates and age-adjusted mortality rate ratios (MRRs) obtained through Poisson regression were used. Data were obtained from the National Institute of Statistics and the Labour Force Survey.ResultsThe excess all-cause mortality during the 2020–2021 pandemic period by the MRR was higher in low-skilled (1.18, 95% CI 1.16 to 1.20) and medium-skilled workers (1.14; 95% CI 1.13 to 1.15) than high-skilled workers (1.04; 95% CI 1.02 to 1.05). However, the greatest excess mortality was observed in low-skilled workers in 2020 and in medium-skilled workers in 2021. Focusing on causes of death other than COVID-19, low-skilled workers showed the highest MRR from cardiovascular diseases (1.31; 95% CI 1.26 to 1.36) and high-skilled workers the lowest (1.02; 95% CI 0.98 to 1.02). However, this pattern was reversed for mortality from external causes, with low-skilled workers showing the lowest MRR (1.04; 95% CI 0.97 to 1.09) and high-skilled workers the highest (1.08; 95% CI 1.03 to 1.13).ConclusionGlobally, in Spain, during the 2020–2021 COVID-19 epidemic period, low-skilled workers experienced a greater excess all-cause mortality than other occupational groups, but this was not the case during the entire epidemic period or for all causes of death.

Aim: This study aims to evaluate the trend of avoidable mortality and of mortality from all other causes of death in urban and rural areas in Spain, throughout the first 2 decades of the twenty-first century. Methods: Data deaths and population by age and sex, according to the area of residence, were obtained from the National Institute of Statistics. Avoidable mortality refers to premature deaths (≤ 75 years old) for which there is reasonable scientific consensus that they should not occur in the presence of timely health care. In large urban, small urban, and rural areas, annual age-standardized mortality rates from avoidable causes and from all other causes of death were calculated from 2003 to 2019. The annual percentage change (APC) in the mortality rate in each area was estimated using linear regression models and taking age-standardized mortality rates as dependent variable. Results: Mortality rates decreased between the beginning and the end of the period analysed. Large urban areas and rural areas showed the largest and smallest reduction in mortality rate respectively. The APC in avoidable mortality was −3.5% in men and −3.0% in women in large urban areas, and −2.7% in men and −2.6% in women in rural areas. The APC in the mortality rate from all other causes of death was −2.4% in men and −1.2% in women in large urban areas, and −1.4% in men and −1.0% in women in rural areas. Conclusion: In Spain, avoidable mortality and mortality from other causes of death in rural and urban areas show similar trends, which suggests the presence of a common factor responsible for such findings.