Background: The disruption in healthcare provision due to the COVID-19 pandemic forced many non-urgent medical treatments and appointments to be postponed or denied, which is expected to have huge impact on non-acute health conditions, especially in vulnerable populations such as older people. Attention should be paid to equity issues related to unmet needs during the pandemic. Methods: We calculated concentration indices to identify income-related inequalities and horizontal inequity in unmet needs due to postponed and denied healthcare in people over 50 during COVID-19, using data from the Survey on Health, Ageing and Retirement in Europe (SHARE). Results: Very few countries show significant income-related inequalities in postponed, rescheduled or denied treatments and medical appointments, usually favouring the rich. Only Estonia, Italy and Romania show a significant horizontal inequity (HI) in postponed healthcare, which apparently favours the poor. Significant pro-rich inequity in denied healthcare is found in Italy, Poland and Greece. Conclusions: Although important income-related horizontal inequity in unmet needs of European older adults during the early waves of the COVID-19 pandemic is not evident for most countries, some of them have to carefully monitor barriers to healthcare access. Delays in diagnosis and treatments may ultimately translate into adverse health outcomes, reduced quality of life and, even, widen socio-economic health inequalities among older people.

Durante la pandemia COVID-19 se ha producido un aumento de la demanda de mascarillas por parte de profesionales sanitarios y de la población general. En este contexto, se hace necesario sintetizar las características y las indicaciones de uso de los distintos tipos de mascarillas existentes. Se consultaron y recopilaron las diferentes recomendaciones difundidas por instituciones de reconocido prestigio, como la Organización Mundial de la Salud, The European Centre for Disease Prevention, The Centre for Evidence-Based Medicine o el Ministerio de Sanidad del Gobierno de España. Las instituciones consultadas aconsejan reservar las mascarillas filtering face piece (FFP) para el personal sanitario, especialmente en la realización de procedimientos generadores de aerosoles (PGA) (protección mínima de FFP2), y plantean posibles sistemas de reutilización durante épocas de escasez. Asimismo, se recomienda el uso de mascarillas quirúrgicas en profesionales que no realicen PGA y en población sintomática, existiendo variación en las indicaciones de uso para población general sana. En situaciones de escasez de equipos de protección individual por pandemia de COVID-19 se debe establecer una priorización y racionalización de uso de cada tipo de mascarilla en función del usuario y de la actividad a realizar.

(1) Background: Diabetes mellitus is a significant public health problem. Macrovascular complications (stroke, acute myocardial infarction (AMI) and lower limb amputations (LLAs) represent the leading cause of morbi-mortality in DM. This work aims to evaluate the impact of the approval of the Diabetes Mellitus Strategy of the National Health System (SDM-NHS) on hospitalizations for those macrovascular complications related to DM; (2) Methods: Interrupted time series applying segmented regression models (Negative Binomial) adjusted for seasonality to data from hospital discharge records with a primary or secondary diagnosis of DM (code 250 ICD9MC); (3) Results: Between 2001 and 2015, there have been 7,302,750 hospital discharges with a primary or secondary diagnosis of DM. After the approval of the SDM-NHS, all the indicators showed a downward trend, modifying the previous trend in the indicators of AMI and LLA. The indicators of stroke and AMI also showed an immediate reduction in their rates; (4) Conclusions: After the approval of the SDM-NHS, an improvement has been observed in all the indicators of macrovascular complications of DM evaluated, although it is difficult to establish a causal relationship between the strategy and the effects observed. Interrupted time series is applicable for evaluating the impact of interventions in public health when experimental designs are not possible.