As a consequence of the Spring 2020 lockdown that occurred in Spain due to the COVID-19 pandemic, many people lost their jobs or had to be furloughed. The objective of this study is to analyse the influence of the latter changes in labour market status on psychological well-being. For this purpose, an ad-hoc questionnaire featuring socio-demographic and mental health criteria was created. Granted that the pandemic can be viewed as an exogenous shock, the bias caused by the bidirectional problems between the work situation and mental well-being can be tackled. Results indicate that the lockdown exerted a greater negative effect on the self-perceived well-being of unemployed and furloughed persons than on those in employment. Moreover, among those in continuous employment, teleworkers experienced a lesser degree of self-perceived well-being post lockdown as compared to those people remaining in the same work location throughout the COVID-19 crisis. Finally, the lockdown provoked worse effects on the self-perceived well-being of women as compared to men, a result that appears to be related to gender differences in household production. In conclusion, these results could be especially relevant given that the evolution of the pandemic is having ongoing effects on employment and, therefore, on the mental health of workers.

No abstract

Policies towards fuel poverty often use relative or absolute measures. The effectiveness of the official indicators in identifying fuel poor households and assessing its impact on health is an emerging social policy issue. In this paper we analyse objective and perceived fuel poverty as determinants of selfassessed health in Spain. In 2014, 5.1 million of her population could not afford to heat their homes to an adequate temperature. We propose a latent class ordered probit model to analyse the influence of fuel poverty on self-reported health in a sample of 25,000 individuals in 11,000 households for the 2011-2014 period. This original approach allows us to include a 'subjective' measure of fuel poverty in the class membership probabilities and purge the influence of the 'objective' measure of fuel poverty on self-assessed health. The results show that poor housing conditions, fuel poverty, and material deprivation have a negative impact on health. Also, individuals who rate themselves as fuel poor tend to report poorer health status. The effect of objective fuel poverty on health is stronger when unobserved heterogeneity of individuals is controlled for. Since objective measures alone may not fully capture the adverse effect of fuel poverty on health, we advocate the use of approaches that allow a combination of objective and subjective measures and its application by policy-makers. Moreover, it is important that policies to tackle fuel poverty take into account the different energy vectors and the prospects of a future smart and integrated energy system. Abstract.Policies towards fuel poverty often use relative or absolute measures. The effectiveness of the official indicators in identifying fuel poor households and assessing its impact on health is an emerging social policy issue. In this paper we analyse objective and perceived fuel poverty as determinants of self-assessed health in Spain. In 2014, 5.1 million of her population could not afford to heat their homes to an adequate temperature. We propose a latent class ordered probit model to analyse the influence of fuel poverty on self-reported health in a sample of 25,000 individuals in 11,000 households for the 2011-2014 period. This original approach allows us to include a 'subjective' measure of fuel poverty in the class membership probabilities and purge the influence of the 'objective' measure of fuel poverty on self-assessed health. The results show that poor housing conditions, fuel poverty, and material deprivation have a negative impact on health. Also, individuals who rate themselves as fuel poor tend to report poorer health status. The effect of objective fuel poverty on health is stronger when unobserved heterogeneity of individuals is controlled for. Since objective measures alone may not fully capture the adverse effect of fuel poverty on health, we advocate the use of approaches that allow a combination of objective and subjective measures and its application by policymakers. Moreover, it is important that policies to tackle fuel poverty take...

No abstract

Aim To asses if telemedicine with telemonitoring is a clinically useful and secure tool in the tracking of patients with COVID-19. Methods A prospective observational study of patients with COVID-19 diagnosis by positive PCR considered high-risk tracked with telemedicine and telemonitoring was conducted in the sanitary area of Lugo between March 17th and April 17th, 2020. Two groups of patients were included: Outpatient Tracing from the beginning and after discharge. Every patient sent a daily clinical questionnaire with temperature and oxygen saturation 3 times a day. Proactive monitoring was done by getting in touch with every patient at least 11 a day. Results 313 patients (52.4% female) with a total average age of 60.9 (DE 15.9) years were included. Additionally, 2 patients refused to join the program. Since the beginning, 224 were traced outpatient and 89 after being discharged. Among the first category, 38 (16.90%) were referred to Emergency department on 43 occasions; 18 were hospitalized (8.03%), and 2 deceased. Neither deaths nor a matter of vital emergency occurred at home. When including patients after admissions monitoring was done in 304 cases. One patient re-entered (0.32%) to the hospital, and another one left the program (0.32%). The average time of monitoring was 11.64 (SD 3.58) days, and 224 (73.68%) patients were discharged during the 30 days of study. Conclusions Our study suggests that telemedicine with home telemonitoring, used proactively, allows for monitoring high-risk patients with COVID-19 in a clinically useful and secure way.