Objective: To analyze the influence of socioeconomic, demographic, epidemiological factors, and the health system structure in the evolution of the COVID-19 pandemic in Brazil. Methods: Ecological study with variables extracted from databases, having the incidence and mortality by COVID-19 until August 23, 2020, in Brazilian states, as response variables. The magnitude of the associations was estimated using Spearman's correlation coefficient and multiple regression analysis. Results: In the Brazilian states, 59.8% of variation in the incidence of COVID-19 was justified by income inequality, significant home densification, and higher mortality. In the case of mortality, those same variables explained 57.9% of the country's variations in federal units. Conclusion: Our results indicate that socioeconomic factors influenced the evolution and impact of COVID-19 in Brazil. Thus, we suggest comprehensive actions to ensure economic conditions and strengthening of health networks for populations with socioeconomic vulnerability.

OBJECTIVE: To examine and map the consequences of chronic pain in adulthood. METHOD: Documents addressing the impact of chronic pain on the psychological and social spheres of people suffering from chronic pain, published in Spanish and English between 2013 and 2018, were included. Those who addressed pharmacological treatments, chronic pain resulting from surgical interventions or who did not have access to the full text were excluded. Finally, 28 documents from the 485 reviewed were included. RESULTS: Studies show that pain is related to high rates of limitation in daily activities, sleep disorders and anxiety-depression spectrum disorders. People in pain have more problems to get the workday done and to maintain social relationships. Chronic pain is also associated with worse family functioning. CONCLUSIONS: This review shows that limitations in the ability to perform activities of daily living, sleep, psychological health, social and work resources and family functioning are lines of interest in published articles. However, knowledge gaps are detected in areas such as the influence of having suffered pain in childhood or adolescence, the consequences of non-fulfillment of working hours and gender inequalities.

This study analyses different perceptions by women and men, from different social backgrounds and ages, regarding their health, vulnerability and coping with illness, and describes the main models provided by both sexes to explain determinants for gender inequalities in health. The qualitative study involved in‐depth interviews with women and men resident in Granada (Spain). The women rated their health worse than men, associating it with feelings of exhaustion. However, men tended to overrate their health, hiding their problems behind the ‘tough guy’ stereotype associated with masculinity. Both women and men shared the belief that women are more vulnerable, while men are weaker at coping with illness. The explanatory models offered for this paradox of ‘weak but strong women’ and ‘tough but weak men’ were different for each sex. Men used biological arguments more than women, centred on the female reproductive cycle. Women used more cultural models and identified determinants relating to social stratification, gender roles and power imbalances. In conclusion, gender constructions affect the health perceptions of both women and men at any social level or age. ‘Exhausted’ women and ‘tough’ men should form preferential target groups for intervention to reduce gender inequalities in health.

Background: In-hospital mortality is a key indicator of the quality of care. Studies so far have demonstrated the influence of patient and hospital-related factors on in-hospital mortality. Currently, new variables, such as nursing workload or the level of dependency, are being incorporated. We aimed to identify which individual, clinical and hospital characteristics are related to hospital mortality. Methods: A multicentre prospective observational study design was used. Sampling was conducted between February 2015 and October 2017. Patients over 16 years, admitted to medical or surgical units at 11 public hospitals in Andalusia (Spain), with a foreseeable stay of at least 48 h were included. Multivariate regression analyses were performed to analyse the data. Results: The sample consisted of 3821 assessments conducted in 1004 patients. The mean profile was that of a male (52%), mean age of 64.5 years old, admitted to a medical unit (56.5%), with an informal caregiver (60%). In-hospital mortality was 4%. The INICIARE (Inventario del Nivel de Cuidados Mediante Indicadores de Clasificación de Resultados de Enfermería) scale yielded an adjusted odds ratio [AOR] of 0.987 (95% confidence interval [CI]: 0.97–0.99) and the nurse staffing level (NSL) yielded an AOR of 1.197 (95% CI: 1.02–1.4). Conclusion: Nursing care dependency measured by INICIARE and nurse staffing level was associated with in-hospital mortality.