Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Provisional counts of deaths in care homes caused by coronavirus (COVID-19) by local authority. Published by the Office for National Statistics and Care Quality Commission.
This statistical note contains figures relating to tests and people who were tested under pillar 1 or pillar 2 of the government testing strategy.
Pillar 1 is swab testing in Public Health England (PHE) labs and NHS hospitals for those with a clinical need, and health and care workers.
Pillar 2 is swab testing for the wider population, through commercial partnerships.
As of May 1 2020, there were over 23 thousand more deaths in care homes in England and Wales than there were on the same date in 2019, with 12.5 thousand of these caused by Coronavirus (COVID-19) and 10.6 thousand due to other causes.
COVID-19 causes significant mortality in elderly and vulnerable people and spreads easily in care homes where one in seven individuals aged > 85 years live. However, there is no surveillance for infection in care homes, nor are there systems (or research studies) monitoring the impact of the pandemic on individuals or systems. Usual practices are disrupted during the pandemic, and care home staff are taking on new and unfamiliar roles, such as advanced care planning. Understanding the nature of these changes is critical to mitigate the impact of COVID-19 on residents, relatives and staff. 20 care homes staff members were interviewed using semi-structured interviews.
The COVID-19 pandemic poses a substantial risk to elderly and vulnerable care home residents and COVID-19 can spread rapidly in care homes. We have national, daily data on people with COVID-19 and deaths, but there is no similar data for care homes. This makes it difficult to know the scale of the problem, and plan how to keep care home residents safe. We also want to understand the impact of COVID-19 on care home staff and residents. Researchers from University College London (UCL) will measure the number of cases of COVID-19 in care homes, using data from Four Seasons Healthcare, a large care home chain. FSHC remove residents' names and addresses before sending the dataset to UCL, protecting resident's confidentiality. Since we cannot visit care homes during the pandemic, we will hold virtual (online) discussion meetings with care home stakeholders (staff, residents, relatives, General Practice teams) every 6-8 weeks, to learn rapid lessons about managing COVID-19 in care homes and identify pragmatic solutions. Our findings will be shared with FHSC, GPs and Public Health England, patients and the public, and support the national response to COVID-19. Patients and the public will be involved in all stages of the research.
https://www.ucl.ac.uk/health-informatics/research/vivaldi-study/vivaldi-privacy-noticehttps://www.ucl.ac.uk/health-informatics/research/vivaldi-study/vivaldi-privacy-notice
The study will be expanding to other providers and care homes across England and will provide a detailed picture of prevalence, seroprevalence, transmission and potential immunity over time.By testing around 6500 staff and 5000 residents across >100 care homes in England, we will estimate the proportion who have been infected with COVID-19 in the past and have antibodies, and the proportion who are infected now. These tests will be repeated over time to learn how COVID-19 spreads in care homes and how long the antibody response lasts and whether this helps to prevent re-infection with the virus. In those who are currently infected, we will also collect information on who is experiencing symptoms to help us to understand how this affects spread of infection within care homes. We will find out about how infection spreads between care homes, the community and hospitals by linking the information we collect to national data on hospital admissions and deaths.
N.B.: The data within the VIVALDI 2 dataset is being examined and cleaned to improve its quality, this is ongoing work.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Provisional counts of the number of care home resident deaths registered in England and Wales, by region, including deaths involving coronavirus (COVID-19), in the latest weeks for which data are available.
The care home occupancy rate in the United Kingdom varied from one region to another. From 2019 to the first quarter of 2020, the occupancy rate of care homes ranged from 83.5 percent in the South West to 92.7 percent in Northern Ireland. As a result of the coronavirus pandemic, the occupancy of care homes has decreased in the second quarter of 2020. In London, for instance, the occupancy rate of care homes went down by 13.5 percent.
In 2021, there were 15,200 residential adult social care homes in England, these establishments provide care and support for older and disabled people. That year, there were 11,900 non-residential adult care homes in England. Over the provided time interval the number of residential care homes decreased, while the number of non-residential care homes has increased since 2009.
As a result of the Coronavirus (COVID-19), there were over 15 thousand deaths in care homes in England and Wales between April 10 and April 24, 2020.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Model estimates of deaths involving the coronavirus (COVID-19) by ethnic group for people in care homes in England.
In 2022/23, the occupancy rate of care homes in the United Kingdom (UK) rose to 86.4 percent, which is approaching pre-pandemic occupancy levels of 87-89 percent. Following the coronavirus outbreak, the care home occupancy rate in the UK fell to an average of 79.4 percent. These were the lowest occupancy rates recorded since 2006 and reflect the consequence of the COVID-19 pandemic.
Care home locations have been collated across the UK and released as open data to support responses to the COVID-19 pandemic.
Collated set of UK health indicators from the Esri UK National Data Service. These have been made available for a limited period to support COVID-19 responses.This set of health data covers prevalences of a range of conditions many of which are believed to place individuals at greater should they catch the COVID-19 virus. In addition some information on care home locations and their number of beds is presented. Sources are England only and are taken from the PHE fingertips system and the Care Quality Commission website. The data is presented across a set of geographical areas from Care home and GP locations through Clinical Commissioning Group (CCG) and Lower Super Output Area (LSOA) to England level.
The Care Leavers, COVID-19 and Transitions from Care (CCTC) study was funded by the Economic and Social Research Council (ESRC), as part of UK Research and Innovation’s rapid response to COVID-19 (ES/V016245/1).
The research explored care leavers’ experiences of the pandemic. Analysis of local authority management information system data on over 1300 young people from 10 local authorities and over 60 interviews with young people and professionals informed the study.
As part of the study care experienced adults, leaving care workers and operational managers came together to form a Networked Learning Community (NLC). Over a series of sessions the NLC supported the research team to interpret the findings, develop recommendations and tools for practice.
Care leavers typically leave their foster homes or residential placements at 16-18 years and cannot necessarily rely on receiving as much practical, emotional or family support, once they have moved, as their peers in the general population. Research shows that young people leaving care can feel isolated and abandoned at this time and that they are vulnerable to poor outcomes including poverty, homelessness, mental ill-health and unemployment. The health, social and economic impacts of Covid-19 heighten the challenges they are likely to face at a stage of life that can be difficult in the best of circumstances.
The study will involve analysis of quantitative data on around 900 care leavers and in-depth interviews with senior and operational managers from children's services and health on around 50 care leavers and their key workers, (at two time points), to inform understanding of the impact that the Covid-19 has had on the timing of young people's transitions from care, where young people go ('transition pathways'), what services and support they receive, and how they fare. In particular we will focus on understanding the impact that the pandemic has had on the health and wellbeing of care leavers and the strengths and limitations of the mainstream and specialist health services they receive. We will then work together with care leavers and professionals to develop recommendations for policy makers and tools to support best practice.
Official statistics on adult social care in England. This publication consists of:
Data on adult social care settings covered in this publication includes:
See the background quality and methodology for these statistics.
In the week ending August 27, 2021, there were 10,268 deaths in England and Wales with just over 4.5 thousand taking place in Hospitals. Between April 10 and April 24 of 2020 there were over 15 thousand deaths occurring in care homes, due to the Coronavirus pandemic.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This open data publication has moved to COVID-19 Statistical Data in Scotland (from 02/11/2022) Novel coronavirus (COVID-19) is a new strain of coronavirus first identified in Wuhan, China. Clinical presentation may range from mild-to-moderate illness to pneumonia or severe acute respiratory infection. This dataset provides information on demographic characteristics (age, sex, deprivation) of confirmed novel coronavirus (COVID-19) cases, as well as trend data regarding the wider impact of the virus on the healthcare system. Data includes information on primary care out of hours consultations, respiratory calls made to NHS24, contact with COVID-19 Hubs and Assessment Centres, incidents received by Scottish Ambulance Services (SAS), as well as COVID-19 related hospital admissions and admissions to ICU (Intensive Care Unit). Further data on the wider impact of the COVID-19 response, focusing on hospital admissions, unscheduled care and volume of calls to NHS24, is available on the COVID-19 Wider Impact Dashboard. There is a large amount of data being regularly published regarding COVID-19 (for example, Coronavirus in Scotland - Scottish Government and Deaths involving coronavirus in Scotland - National Records of Scotland. Additional data sources relating to this topic area are provided in the Links section of the Metadata below. Information on COVID-19, including stay at home advice for people who are self-isolating and their households, can be found on NHS Inform. All publications and supporting material to this topic area can be found in the weekly COVID-19 Statistical Report. The date of the next release can be found on our list of forthcoming publications. Data visualisation is available to view in the interactive dashboard accompanying the COVID-19 Statistical Report. Please note information on COVID-19 in children and young people of educational age, education staff and educational settings is presented in a new COVID-19 Education Surveillance dataset going forward.
Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.
The difficulties of death figures
This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.
Where are these numbers coming from?
The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.
Due to changes in the collection and availability of data on COVID-19 this page will no longer be updated. The webpage will no longer be available as of 11 May 2023. On-going, reliable sources of data for COVID-19 are available via the COVID-19 dashboard, Office for National Statistics, and the UKHSA This page provides a weekly summary of data on deaths related to COVID-19 published by NHS England and the Office for National Statistics. More frequent reporting on COVID-19 deaths is now available here, alongside data on cases, hospitalisations, and vaccinations. This update contains data on deaths related to COVID-19 from: NHS England COVID-19 Daily Deaths - last updated on 28 June 2022 with data up to and including 27 June 2022. ONS weekly deaths by Local Authority - last updated on 16 August 2022 with data up to and including 05 August 2022. Summary notes about each these sources are provided at the end of this document. Note on interpreting deaths data: statistics from the available sources differ in definition, timing and completeness. It is important to understand these differences when interpreting the data or comparing between sources. Weekly Key Points An additional 24 deaths in London hospitals of patients who had tested positive for COVID-19 and an additional 5 where COVID-19 was mentioned on the death certificate were announced in the week ending 27 June 2022. This compares with 40 and 3 for the previous week. A total of 306 deaths in hospitals of patients who had tested positive for COVID-19 and 27 where COVID-19 was mentioned on the death certificate were announced for England as whole. This compares with 301 and 26 for the previous week. The total number of COVID-19 deaths reported in London hospitals of patients who had tested positive for COVID-19 is now 19,102. The total number of deaths in London hospitals where COVID-19 was mentioned on the death certificate is now 1,590. This compares to figures of 119,237 and 8,197 for English hospitals as a whole. Due to the delay between death occurrence and reporting, the estimated number of deaths to this point will be revised upwards over coming days These figures do not include deaths that occurred outside of hospitals. Data from ONS has indicated that the majority (79%) of COVID-19 deaths in London have taken place in hospitals. Recently announced deaths in Hospitals 21 June 22 June 23 June 24 June 25 June 26 June 27 June London No positive test 0 0 1 4 0 0 0 London Positive test 3 7 2 10 0 0 2 Rest of England No positive test 2 6 4 4 0 0 6 Rest of England Positive test 47 49 41 58 6 0 81 16 May 23 May 30 May 06 June 13 June 20 June 27 June London No positive test 14 3 4 0 4 3 5 London Positive test 45 34 55 20 62 40 24 Rest of England No positive test 41 58 33 23 47 23 22 Rest of England Positive test 456 375 266 218 254 261 282 Deaths by date of occurrence 21 June 22 June 23 June 24 June 25 June 26 June 27 June London 20,683 20,686 20,690 20,691 20,692 20,692 20,692 Rest of England 106,604 106,635 106,679 106,697 106,713 106,733 106,742 Interpreting the data The data published by NHS England are incomplete due to: delays in the occurrence and subsequent reporting of deaths deaths occurring outside of hospitals not being included The total deaths reported up to a given point are therefore less than the actual number that have occurred by the same point. Delays in reporting NHS provide the following guidance regarding the delay between occurrence and reporting of deaths: Confirmation of COVID-19 diagnosis, death notification and reporting in central figures can take up to several days and the hospitals providing the data are under significant operational pressure. This means that the totals reported at 5pm on each day may not include all deaths that occurred on that day or on recent prior days. The data published by NHS England for reporting periods from April 1st onward includes both date of occurrence and date of reporting and so it is possible to illustrate the distribution of these reporting delays. This data shows that approximately 10% of COVID-19 deaths occurring in London hospitals are included in the reporting period ending on the same day, and that approximately two-thirds of deaths were reported by two days after the date of occurrence. Deaths outside of hospitals The data published by NHS England does not include deaths that occur outside of hospitals, i.e. those in homes, hospices, and care homes. ONS have published data for deaths by place of occurrence. This shows that, up to 05 August, 79% of deaths in London recorded as involving COVID-19 occurred in hospitals (this compares with 44% for all causes of death). This would suggest that the NHS England data may underestimate overall deaths from COVID-19 by around 20%. Number of deaths Proportion of deaths Week ending Hospital Care home Home Other Hospital Care home Home Other 06 Mar 2020 1 1 0 0 50% 50% 0% 0% 13 Mar 2020 13 0 4 0 76% 0% 24% 0% 20 Mar 2020 148 9 11 0 88% 5% 7% 0% 27 Mar 2020 610 45 53 14 84% 6% 7% 2% 03 Apr 2020 1,215 132 143 27 80% 9% 9% 2% 10 Apr 2020 1,495 282 162 32 76% 14% 8% 2% 17 Apr 2020 1,076 295 101 29 72% 20% 7% 2% 24 Apr 2020 669 210 72 35 68% 21% 7% 4% 01 May 2020 348 125 43 15 66% 24% 8% 3% 08 May 2020 261 93 29 16 65% 23% 7% 4% 15 May 2020 152 51 22 5 66% 22% 10% 2% 22 May 2020 93 51 10 3 59% 32% 6% 2% 29 May 2020 62 25 7 6 62% 25% 7% 6% 05 Jun 2020 53 23 4 1 65% 28% 5% 1% 12 Jun 2020 27 11 9 3 54% 22% 18% 6% 19 Jun 2020 22 7 6 2 59% 19% 16% 5% 26 Jun 2020 14 14 5 1 41% 41% 15% 3% 03 Jul 2020 10 5 2 5 45% 23% 9% 23% 10 Jul 2020 15 3 0 1 79% 16% 0% 5% 17 Jul 2020 8 7 2 0 47% 41% 12% 0% 24 Jul 2020 15 1 0 2 83% 6% 0% 11% 31 Jul 2020 6 2 1 0 67% 22% 11% 0% 07 Aug 2020 6 2 0 1 67% 22% 0% 11% 14 Aug 2020 7 4 2 1 50% 29% 14% 7% 21 Aug 2020 4 0 0 0 100% 0% 0% 0% 28 Aug 2020 1 2 0 0 33% 67% 0% 0% 04 Sep 2020 3 0 1 0 75% 0% 25% 0% 11 Sep 2020 7 2 0 1 70% 20% 0% 10% 18 Sep 2020 9 2 1 0 75% 17% 8% 0% 25 Sep 2020 23 3 3 0 79% 10% 10% 0% 02 Oct 2020 27 3 2 0 84% 9% 6% 0% 09 Oct 2020 36 3 3 0 86% 7% 7% 0% 16 Oct 2020 41 0 2 0 95% 0% 5% 0% 23 Oct 2020 47 4 4 0 85% 7% 7% 0% 30 Oct 2020 91 3 5 1 91% 3% 5% 1% 06 Nov 2020 93 7 5 2 87% 7% 5% 2% 13 Nov 2020 109 11 10 2 83% 8% 8% 2% 20 Nov 2020 162 5 8 4 91% 3% 4% 2% 27 Nov 2020 175 8 14 5 87% 4% 7% 2% 04 Dec 2020 190 10 13 10 85% 4% 6% 4% 11 Dec 2020 199 9 13 6 88% 4% 6% 3% 18 Dec 2020 267 15 25 4 86% 5% 8% 1% 25 Dec 2020 403 30 43 7 83% 6% 9% 1% 01 Jan 2021 677 35 109 28 80% 4% 13% 3% 08 Jan 2021 959 73 167 36 78% 6% 14% 3% 15 Jan 2021 1,125 84 165 39 80% 6% 12% 3% 22 Jan 2021 1,163 96 142 43 81% 7% 10% 3% 29 Jan 2021 863 82 101 28 80% 8% 9% 3% 05 Feb 2021 605 70 59 38 78% 9% 8% 5% 12 Feb 2021 439 29 49 14 83% 5% 9% 3% 19 Feb 2021 338 29 33 12 82% 7% 8% 3% 26 Feb 2021 214 19 19 11 81% 7% 7% 4% 05 Mar 2021 141 11 19 5 80% 6% 11% 3% 12 Mar 2021 99 9 7 1 85% 8% 6% 1% 19 Mar 2021 65 10 1 1 84% 13% 1% 1% 26 Mar 2021 41 9 4 2 73% 16% 7% 4% 02 Apr 2021 35 5 4 0 80% 11% 9% 0% 09 Apr 2021 29 2 3 0 85% 6% 9% 0% 16 Apr 2021 24 6 2 0 75% 19% 6% 0% 23 Apr 2021 14 1 0 0 93% 7% 0% 0% 30 Apr 2021 13 1 1 0 87% 7% 7% 0% 07 May 2021 14 3 0 0 82% 18% 0% 0% 14 May 2021 6 2 0 0 75% 25% 0% 0% 21 May 2021 8 1 1 0 80% 10% 10% 0% 28 May 2021 11 1 2 1 73% 7% 13% 7% 04 Jun 2021 9 0 0 0 100% 0% 0% 0% 11 Jun 2021 11 3 0 0 79% 21% 0% 0% 18 Jun 2021 11 4 2 1 61% 22% 11% 6% 25 Jun 2021 10 0 0 1 91% 0% 0% 9% 02 Jul 2021 14 1 2 0 82% 6% 12% 0% 09 Jul 2021 12 1 4 1 67% 6% 22% 6% 16 Jul 2021 18 3 2 0 78% 13% 9% 0% 23 Jul 2021 48 0 7 1 86% 0% 12% 2% 30 Jul 2021 49 2 4 4 83% 3% 7% 7% 06 Aug 2021 66 1 9 1 86% 1% 12% 1% 13 Aug 2021 60 1 12 1 81% 1% 16% 1% 20 Aug 2021 84 1 5 1 92% 1% 5% 1% 27 Aug 2021 78 3 10 3 83% 3% 11% 3% 03 Sep 2021 85 3 7 1 89% 3% 7% 1% 10 Sep 2021 83 2 10 2 86% 2% 10% 2% 17 Sep 2021 65 2 9 1 84% 3% 12% 1% 24 Sep 2021 76 5 5 0 88% 6% 6% 0% 01 Oct 2021 88 2 15 1 83% 2% 14% 1% 08 Oct 2021 65 2 7 1 87% 3% 9% 1% 15 Oct 2021 62 1 9 4 82% 1% 12% 5% 22 Oct 2021 64 2 11 2 81% 3% 14% 3% 29 Oct 2021 66 3 11 1 81% 4% 14% 1% 05 Nov 2021 67 3 10 5 79% 4% 12% 6% 12 Nov 2021 84 2 12 1 85% 2% 12% 1% 19 Nov 2021 63 2 2 0 94% 3% 3% 0% 26 Nov 2021 68 2 8 0 87% 3% 10% 0% 03 Dec 2021 72 2 10 1 85% 2% 12% 1% 10 Dec 2021 81 3 12 4 81% 3% 12% 4% 17 Dec 2021 91 1 12 3 85% 1% 11% 3% 24 Dec 2021 101 8 15 3 80% 6% 12% 2% 31 Dec 2021 129 11 19 6 78% 7% 12% 4% 07 Jan 2022 178 18 19 4 81% 8% 9% 2% 14 Jan 2022 194 23 16 14 79% 9% 6% 6% 21 Jan 2022 165 25 11 4 80% 12% 5% 2% 28 Jan 2022 119 20 13 5 76% 13% 8% 3% 04 Feb 2022 97 13 8 2 81% 11% 7% 2% 11 Feb 2022 51 10 6 6 70% 14% 8% 8% 18 Feb 2022 62 6 9 3 78% 8% 11% 4% 25 Feb 2022 55 2 2 1 92% 3% 3% 2% 04 Mar 2022 47 2 2 2 89% 4% 4% 4% 11 Mar 2022 48 3 4 0 87% 5% 7% 0% 18 Mar 2022 60 7 8 4 76% 9% 10% 5% 25 Mar 2022 51 11 5 2 74% 16% 7% 3% 01 Apr 2022 60 8 5 2 80% 11% 7% 3% 08 Apr 2022 78 4 7 3 85% 4% 8% 3% 15 Apr 2022 74 6 6 3 83% 7% 7% 3% 22 Apr 2022 58 10 7 6 72% 12% 9% 7% 29 Apr 2022 39 8 3 4 72% 15% 6% 7% 06 May 2022 44 3 4 0 86% 6% 8% 0% 13 May 2022 29 2 4 2 78% 5% 11% 5% 20 May 2022 16 4 0 2 73% 18% 0% 9% 27 May 2022 34 3 3 1 83% 7% 7% 2% 03 Jun 2022 18 1 1 0 90% 5% 5% 0% 10 Jun 2022 18 1 3 0 82% 5% 14% 0% 17 Jun 2022 22 1 2 0 88% 4% 8% 0% 24 Jun 2022 33 2 3 1 85% 5% 8% 3% 01 Jul 2022 33 2 2 0 89% 5% 5% 0% 08 Jul 2022 51 4 4 4 81% 6% 6% 6% 15 Jul 2022 60 5 4 2 85% 7% 6% 3% 22 Jul 2022 71 9 10 3 76% 10% 11% 3% 29 Jul 2022 48 7 9 0 75% 11% 14% 0% 05 Aug 2022 35 1 3 4 81% 2% 7% 9% Total 18,924 2,390 2,152 634 79% 10% 9% 3% Comparison with all cause mortality Comparison of data sources Note on data sources NHS England provides numbers of patients who have died in hospitals in England and had tested positive for COVID-19, and from 25 April, the number of patients where COVID-19 is mentioned on the death certificate and no positive COVID-19 test result was received. Figures are updated each day at 2pm with deaths reported up to 5pm the previous day. There is a delay between the occurrence of a death to it being captured in the
Occupational registration data was linked to anonymised electronic health records maintained by the Secure Anonymised Information Linkage (SAIL) Databank in a privacy-protecting trusted research environment. We examined records for all linked care workers from 1st March 2016 to 30th November 2021.
Domiciliary Care Workers (DCWs) are employed in both public and private sectors to support adults at home. The support they provide varies but often includes personal care, which demands close contact between care worker and the person being supported. Since the start of the COVID-19 pandemic, people working across the care sectors in England and Wales have experienced higher rates of death involving COVID-19 infection. Social care workers, in both residential and domiciliary care settings, have been particularly badly affected, with rates of death involving COVID-19 approximately double that for health care workers.
We do not fully understand the full impact on domiciliary care worker mortality, how COVID-19 has affected worker health more broadly, and the risk factors which contribute to these. Existing evidence on deaths from the ONS relies on occupational classification. However, for many individuals reported as dying with some COVID-19 involvement, information on occupation is missing (18% and 40% missing for males and females respectively). The impact of COVID-19 on the health of domiciliary care workers (DCWs) is therefore likely to be considerable, including on COVID-19 infection itself, mental health, and respiratory illnesses. We aim to generate rapid high-quality evidence based on the views of care workers and by linking care workers' registration data to routine health data. We can use this information to inform public health interventions for safer working practice and additional support for care workers.
Our study will use a combination of research methods. We will use existing administrative data involving carer professional registration records as well as health care records. Our analysis of these data will be guided in part by qualitative interviews that we will conduct with domiciliary care workers in Wales. The interviews will address the experiences of care workers during the course of the pandemic.
Registration data for care workers in Wales will be securely transferred from the regulatory body, Social Care Wales (SCW) to the Secured Anonymised Information Linkage (SAIL) Databank at Swansea University. These data will be combined with anonymised health records made available from the SAIL databank. Information which could be used to identify individual care workers will be removed in this process. We expect that this will create a research database of all domiciliary care workers in Wales, approximately 17,000 individuals. From this group we will also identify about 30 care workers to be approached via SCW to take part in a qualitative interview. The interview sample will be chosen so that it includes workers from a variety of backgrounds.
In our analysis, we will describe the socio-demographic characteristics of the group of care workers in the research database, for example, their average age. We will establish the number of care workers with both suspected and confirmed COVID-19 infection. Will explore how infection with COVID-19 has impacted on key health outcomes, including whether workers were admitted to hospital or died. We will also explore the health of care workers before and during COVID-19 pandemic. We will use the information gained from interviews with care workers to guide the way we analyse the health records of the care workers. Finally, we will examine how well the results from our analysis of care workers in Wales can be used inform what may be happening for workers in other countries in the UK.
To ensure that our findings will be of most use to those working in social care, we will work with an Implementation Reference Group. The group will include key stakeholders such as representatives from regulators from across the UK. Working with this group, we will provide rapid recommendations to drive public health initiatives for care worker safety. This may include changes in working practices and longer-term service planning to support care worker health needs.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Abstract Background and rationale: The SARS-CoV-2 virus which causes a respiratory illness called Covid-19 has now spread to all continents and is causing important disruptions. Foster care homes, also called residential units, children’s homes, sheltered care, childcare institutions or custodial facilities (among many other names) have not been spared by the pandemic and reports of unexpected new challenges are emerging, such as lack of protective equipment, increased violence within the facility, staff shortage, risk of burnout among staff working longer hours or quarantine procedures intentionally not followed by children. Although children and young people appear to develop relatively mild symptoms when contracting Covid-19 they are not immune from it, could act as vectors of transmission and children with weakened immune systems (for instance children living with HIV or taking chemotherapy) remain at risk. Residential care staff looking after children in care is also at risk of contracting Covid-19 and/or transmitting the disease outside of the foster home when caring for them, particularly given close contacts involved during daily activities. Objective: To investigate and map out the primary research literature on respiratory outbreaks in residential care centers where children live. Methods: Pubmed, ClinicalTrials.gov, CENTRAL, Cochrane Library, Swissbib, OpenGrey, bioRxiv and medRxiv were searched from inception to April 4, 2020. Additional citations were identified from the bibliographies of all included citations and the forward citations (Google Scholar) of 12 included studies were assessed. Ten searches were also done on Google Scholar. Primary research reports, published from 1 January 1910 to 4 April 2020 that referred to respiratory outbreaks in foster care homes were included. Results: 33 out of 37 articles reported data on respiratory outbreaks in residential care settings. The earliest respiratory outbreak occurred in 1957 and the latest in 2011. Three (n=3) studies documented outbreaks for the period 1950-1959, 12 studies for 1960-1969, 3 for 1970-1979, 8 for 1980-1989, 2 for 1990-1999, 4 for 2000-2009 and 1 for 2010-2019. Most articles were case studies or case series (n=19). A few articles were cohort studies (n=5), controlled before-after studies (n=4), cross-sectional studies (n=4) or diagnostic test studies (n=3). There was one (n=1) qualitative study, one (n=1) quasi-randomised controlled trial, one (n=1) randomized controlled trial and one (n=1) scoping review. In 21 studies the children looked after did not have handicaps (or no handicaps were reported). In 15 out of 37 studies the children looked after had either physical and/or mental handicaps. One (n=1) article [1] focused on residential care staff. 26 studies out reported data on foster care homes in the United States (US), 4 in the United Kingdom (UK) and one (n=1) each in Thailand, Spain, Slovenia, Jamaica, Canada and Australia. The most studied sources of respiratory outbreaks were influenza viruses (n=13 studies). The most commonly measured outcomes were: clinical prognosis (n=26 studies), virological data (n=24 studies), symptoms (n=23 studies), antibody data (n=11 studies) and side effects (n=6 studies). Sixteen (n=16) studies also reported infection control measures taken (most commonly medical treatments), with little details. Limitations: My searches may have missed relevant articles due to a lack of unique terminology, relatively simple searches and heterogeneous indexing of relevant articles. A number of additional potentially relevant studies were found but had to be excluded due to not being reported in French or English. Residential care settings are likely to differ from country to country and the generalizability of these findings could be questioned (although reports from children’s home in the 1960s and 1970s still had many things in common with my current work setting). Inclusion judgements involved a degree of subjectivity, particularly for mixed-populations (children and adults in a single facility, facility for children with and without medical needs) and other authors might differ on some articles to include or exclude. In general few details were provided about the facility (eg. hospital setting) or care staff (eg. medical or not) which made assessments challenging and misclassification is therefore a possibility. Sample size data extracted is to be read with caution given the complexity of data extraction for this outcome (for instance some studies report on the number of children in the whole facility, the number of children in specific wards affected, the number of children deemed at risk, the number of children + staff affected, etc.). Conclusions: Few studies on respiratory outbreaks in foster care homes were found. Most studies came from the United States and reported outbreak investigations from 1960-1969 and 1980-1989. Most studies had a medical focus, were of observational design and investigated the spread of diseases in care homes, symptoms of young people affected by the pathogen and their prognosis. Infection prevention and control measures were rarely reported in detail. Only one study focused on residential care staff. Experimental studies all measured the effectiveness and safety of medical treatments (typically vaccines or medicines). Recent outbreaks in residential facilities from non-US countries should be documented or perhaps indexed in a more structured way. Qualitative studies investigating the lived experiences, knowledge, practices, challenges and strategies of residential care staff facing respiratory outbreaks could be undertaken. Similarly, qualitative studies investigating needs, beliefs and experiences of young people living in care affected by respiratory outbreaks should be considered. There is a need for more experimental studies in this specific setting. Study authors should consider reporting more details about the residential facility and residential care staff and a reporting guideline could be developed on the matter. Funding: No funding was received for this work. Registration: See previous versions of this work on the Open Science Framework. Data and materials: Available at https://osf.io/nt8ek/ or included within this manuscript. Keywords: Disease outbreak, infection control, scoping review, residential care, children Suggested citation: Vuillème, M. (April 4, 2020). What literature is there on respiratory outbreaks in residential care centers where children live? A rapid scoping review. Retrieved from https://doi.org/10.17605/OSF.IO/XDFUJ
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Provisional counts of deaths in care homes caused by coronavirus (COVID-19) by local authority. Published by the Office for National Statistics and Care Quality Commission.