2020
DOI: 10.1136/bmj.m1329
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Socioeconomic gradient in health and the covid-19 outbreak

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Cited by 99 publications
(79 citation statements)
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“…Comparison with literature findings Primary care literature on the impact of the COVID-19 outbreak on primary care is still emerging; at present, it mainly consists of practice guidelines, for example on telephone or video consulting. 15 16 Reports on psychological 17 and socioeconomic repercussions 18 of lockdown measures present similar results and warnings to the ones our GPs expressed. Several reports 19 20 describe the profound effect of the outbreak on the psychological well-being of healthcare professionals, in accordance with effects seen in previous outbreaks.…”
Section: Strengths and Limitationssupporting
confidence: 54%
“…Comparison with literature findings Primary care literature on the impact of the COVID-19 outbreak on primary care is still emerging; at present, it mainly consists of practice guidelines, for example on telephone or video consulting. 15 16 Reports on psychological 17 and socioeconomic repercussions 18 of lockdown measures present similar results and warnings to the ones our GPs expressed. Several reports 19 20 describe the profound effect of the outbreak on the psychological well-being of healthcare professionals, in accordance with effects seen in previous outbreaks.…”
Section: Strengths and Limitationssupporting
confidence: 54%
“…There is a notable difference between respiratory cases and deaths, which may suggest that the profile of individuals who have the economic or social capital to seek care early for respiratory symptoms in Tijuana differs from those who do not interact with the medical system until after their death. This finding adds to a growing body of literature and social commentary suggesting that social inequalities may be translating into inequalities in the risk of infection or death from COVID-19 in numerous contexts [37][38][39][40][41][42][43] Conclusions EMS data provide a valuable tool to rapidly track the health of populations at risk of COVID-19 in LMICs, where other forms of real-time data may not be available. EMS information can be used to track excess out-of-hospital mortality and respiratory burden, as well as changing clinical or demographic features.…”
Section: Discussionmentioning
confidence: 79%
“…Gender and education are important socio-demographic factors related to protective behavior. It is known that there is a socioeconomic gradient, resulting in social and health inequalities related to the COVID-19 outbreak (20,21). In particular, socioeconomic characteristics like lower income and lower education are associated with an increased risk of COVID-19 related mortality (22,23), which stresses the necessity to reduce health inequalities (24).…”
Section: Summary Of Main Findingsmentioning
confidence: 99%