scholarly journals Excess mortality in the first COVID pandemic peak: cross-sectional analyses of the impact of age, sex, ethnicity, household size, and long-term conditions in people of known SARS-CoV-2 status in England

2020 ◽  
Vol 70 (701) ◽  
pp. e890-e898
Author(s):  
Mark Joy ◽  
FD Richard Hobbs ◽  
Jamie Lopez Bernal ◽  
Julian Sherlock ◽  
Gayatri Amirthalingam ◽  
...  

BackgroundThe SARS-CoV-2 pandemic has passed its first peak in Europe.AimTo describe the mortality in England and its association with SARS-CoV-2 status and other demographic and risk factors.Design and settingCross-sectional analyses of people with known SARS-CoV-2 status in the Oxford RCGP Research and Surveillance Centre (RSC) sentinel network.MethodPseudonymised, coded clinical data were uploaded from volunteer general practice members of this nationally representative network (n = 4 413 734). All-cause mortality was compared with national rates for 2019, using a relative survival model, reporting relative hazard ratios (RHR), and 95% confidence intervals (CI). A multivariable adjusted odds ratios (OR) analysis was conducted for those with known SARS-CoV-2 status (n = 56 628, 1.3%) including multiple imputation and inverse probability analysis, and a complete cases sensitivity analysis.ResultsMortality peaked in week 16. People living in households of ≥9 had a fivefold increase in relative mortality (RHR = 5.1, 95% CI = 4.87 to 5.31, P<0.0001). The ORs of mortality were 8.9 (95% CI = 6.7 to 11.8, P<0.0001) and 9.7 (95% CI = 7.1 to 13.2, P<0.0001) for virologically and clinically diagnosed cases respectively, using people with negative tests as reference. The adjusted mortality for the virologically confirmed group was 18.1% (95% CI = 17.6 to 18.7). Male sex, population density, black ethnicity (compared to white), and people with long-term conditions, including learning disability (OR = 1.96, 95% CI = 1.22 to 3.18, P = 0.0056) had higher odds of mortality.ConclusionThe first SARS-CoV-2 peak in England has been associated with excess mortality. Planning for subsequent peaks needs to better manage risk in males, those of black ethnicity, older people, people with learning disabilities, and people who live in multi-occupancy dwellings.

Neurosurgery ◽  
2011 ◽  
Vol 68 (1) ◽  
pp. 20-27 ◽  
Author(s):  
Terhi. Huttunen ◽  
Mikael. von und zu Fraunberg ◽  
Timo. Koivisto ◽  
Antti. Ronkainen ◽  
Jaakko. Rinne ◽  
...  

Abstract BACKGROUND: Saccular intracranial aneurysms (sIAs) develop in 2% of the population. Rupture of the sIA wall causes almost all cases of aneurysmal subarachnoid hemorrhage (aSAH). OBJECTIVE: We analyzed the long-term excess mortality of 244 familial and 1502 sporadic 1-year survivors of aSAH from sIA compared with a matched Eastern Finnish catchment population. METHODS: The Kuopio Neurosurgery Database contains 1746 one-year survivors of aSAH (1980–2007) from a defined population. The median follow-up time, until death (n = 494) or the end of 2008, was 12 years. Relative survival ratios were calculated compared with the matched (sex, age, calendar time) catchment population. Relative excess risk of death (RER) was estimated for variables known on admission for aSAH as well as Glasgow Outcome Scale score at 12 months. RESULTS: There was 12% excess mortality at 15 years (cumulative relative survival ratio: 0.88; 95% confidence interval: 0.85-0.91). Independent risk factors were male sex (RER: 1.6), age older than 64 years (RER: 2.9), ruptured basilar tip sIA (RER: 4.5), severe hydrocephalus on admission (RER: 3.6), no occlusive therapy (RER: 6.0), and Glasgow Outcome Scale scores of 2, 3, or 4 at 12 months (RER: 23, 4.1, 2.1, respectively), but not familial sIA disease. There were lethal rebleeds from 13 of the 1440 clipped sIAs, 2 of the 265 coiled sIAs, and 2 from the 17 nonoccluded sIAs, and 14 new lethal bleeds from other sIAs. CONCLUSION: The impact of both sporadic and familial aSAH and their sequelae in the central nervous and cardiovascular systems may cause long-term morbidity and mortality. The complex sIA disease may predispose to other vascular events later in life. The causes of the long-term excess mortality are heterogeneous, and more detailed analyses are required.


2020 ◽  
Vol 29 ◽  
Author(s):  
C. Garriga ◽  
J. Robson ◽  
C. Coupland ◽  
J. Hippisley-Cox

Abstract Aims People living with serious mental ill-health experience adverse cardiovascular outcomes causing some of the greatest health inequality gaps in England, UK. We describe uptake of the NHS Health Check programme in people with mental ill-health, and rates of new diagnoses and management of cardiovascular risk factors in those who attend NHS Health Checks in comparison to those people without mental ill-health. Methods We used a large nationally representative database of people registered with general practitioners in England (QResearch). Between 2013 and 2017, we analysed attendance at NHS Health Checks and outcomes in the succeeding 12 months, in people with serious mental illness (SMI) including psychoses and in people prescribed long-term antidepressant medications (LTAD), with comparison to attendees who did not have these conditions. Hazard ratios (HR) were used to describe the association between outcomes and SMI and LTAD adjusting for sociodemographic variables. Results In those eligible for the NHS Health Check programme, we found a higher percentage of people with SMI attended an NHS Health Check (65 490, 19.8%) than those without SMI (524 728, 16.6%); adjusted HR 1.05 [95% confidence interval 1.02–1.08]. We also observed a higher percentage of attendance in people on LTAD (46 437, 20.1%) compared to people who were not prescribed LTAD (543 781, 16.7%); adjusted HR 1.10 (1.08–1.13). People with SMI were more likely to be identified with chronic kidney disease (CKD, HR 1.23, 1.12–1.34) and type 2 diabetes (HR 1.14, 1.03–1.25) within the 12 months following their NHS Health Check compared with those without SMI. People on LTAD were more likely to be identified with CKD (HR 1.55, 1.42–1.70) and type 2 diabetes (HR 1.45, 1.31–1.60) and also hypertension, cardiovascular disease, non-diabetic hyperglycaemia, familial hypercholesterolemia and dementia within the 12 months following their NHS Health Check. Statins were more likely to be prescribed to NHS Health Check attendees with SMI and those on LTAD than those without these conditions; HR 1.31 (1.25–1.38) and 1.91 (1.82–2.01), respectively. Antihypertensives were more likely to be prescribed to those on LTAD; HR 1.21 (1.14–1.29). Conclusions We found evidence that people with SMI or on LTAD treatment were 5–10% more likely to access NHS Health Checks than people without these conditions. People with SMI or on LTAD treatment who attended NHS Health Checks had higher rates of diagnosis of CKD, type 2 diabetes and some other relevant co-morbidities and increased treatment with statins and also anti-hypertensive medication in people on LTAD. This is likely to contribute to equitable reduction in adverse cardiovascular events for people with mental ill-health.


Author(s):  
Bum Jung Kim ◽  
Sun-young Lee

Extensive research has demonstrated the factors that influence burnout among social service employees, yet few studies have explored burnout among long-term care staff in Hawaii. This study aimed to examine the impact of job value, job maintenance, and social support on burnout of staff in long-term care settings in Hawaii, USA. This cross-sectional study included 170 long-term care staff, aged 20 to 75 years, in Hawaii. Hierarchical regression was employed to explore the relationships between the key independent variables and burnout. The results indicate that staff with a higher level of perceived job value, those who expressed a willingness to continue working in the same job, and those with strong social support from supervisors or peers are less likely to experience burnout. Interventions aimed at decreasing the level of burnout among long-term care staff in Hawaii may be more effective through culturally tailored programs aimed to increase the levels of job value, job maintenance, and social support.


2021 ◽  
pp. jech-2020-216030
Author(s):  
Benjamin J Gray ◽  
Richard G Kyle ◽  
Jiao Song ◽  
Alisha R Davies

BackgroundThe public health response to the SARS-CoV-2 (COVID-19) pandemic has had a detrimental impact on employment and there are concerns the impact may be greatest among the most vulnerable. We examined the characteristics of those who experienced changes in employment status during the early months of the pandemic.MethodsData were collected from a cross-sectional, nationally representative household survey of the working age population (18–64 years) in Wales in May/June 2020 (n=1379). We looked at changes in employment and being placed on furlough since February 2020 across demographics, contract type, job skill level, health status and household factors. χ2 or Fisher’s exact test and multinomial logistic regression models examined associations between demographics, subgroups and employment outcomes.ResultsOf our respondents, 91.0% remained in the same job in May/June 2020 as they were in February 2020, 5.7% were now in a new job and 3.3% experienced unemployment. In addition, 24% of our respondents reported being placed on furlough. Non-permanent contract types, individuals who reported low mental well-being and household financial difficulties were all significant factors in experiencing unemployment. Being placed on ‘furlough’ was more likely in younger (18–29 years) and older (60–64 years) workers, those in lower skilled jobs and from households with less financial security.ConclusionA number of vulnerable population groups were observed to experience detrimental employment outcomes during the initial stage of the COVID-19 pandemic. Targeted support is needed to mitigate against both the direct impacts on employment, and indirect impacts on financial insecurity and health.


2019 ◽  
Vol 69 (687) ◽  
pp. e675-e681 ◽  
Author(s):  
Stephanie Tierney ◽  
Geoff Wong ◽  
Kamal R Mahtani

BackgroundCare navigation is an avenue to link patients to activities or organisations that can help address non-medical needs affecting health and wellbeing. An understanding of how care navigation is being implemented across primary care is lacking.AimTo determine how ‘care navigation’ is interpreted and currently implemented by clinical commissioning groups (CCGs).Design and settingA cross-sectional study involving CCGs in England.MethodA questionnaire was sent to all CCGs inviting them to comment on who provided care navigation, the type of patients for whom care navigation was provided, how individuals were referred, and whether services were being evaluated. Responses were summarised using descriptive statistics.ResultsThe authors received usable responses from 83% of CCGs (n = 162), and of these >90% (n = 147) had some form of care navigation running in their area. A total of 75 different titles were used to describe the role. Most services were open to all adult patients, though particular groups may have been targeted; for example, people who are older and those with long-term conditions. Referrals tended to be made by a professional, or people were identified by a receptionist when they presented to a surgery. Evaluation of care navigation services was limited.ConclusionThere is a policy steer to engaging patients in social prescribing, using some form of care navigator to help with this. Results from this study highlight that, although this type of role is being provided, its implementation is heterogeneous. This could make comparison and the pooling of data on care navigation difficult. It may also leave patients unsure about what care navigation is about and how it could help them.


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