Privacy enhancing technologies: Adoption guide

Privacy enhancing technologies: Adoption guide
Centre for Data Ethics and Innovation 14 July 2021

• The CDEI has published a beta version of its PETs adoption guide, which is an interactive tool designed to aid decision-making around the use of PETs in data-driven projects.

CVDPREVENT - primary care audit

CVDPREVENT
NHS England

• CVDPREVENT is a regular national primary care audit making it easier for practices to systematically identify people whose treatment could be improved, and risk reduced. It will automatically extract routinely held GP data covering diagnosis and management of six high risk conditions that cause stroke, heart attack and dementia: atrial fibrillation, high blood pressure, high cholesterol, diabetes, non-diabetic hyperglycaemia and chronic kidney disease. It will support primary care in understanding how many patients with the high-risk conditions are potentially undiagnosed, under treated or over treated. 
• Find out more  on the NHS Benchmarking platform including a quick guide and key dates

Health inequalities evidence hub

Evidence hub: What drives health inequalities?
Health Foundation

• A searchable collection of resources including data, insights and analysis exploring how the circumstances in which we live shape our health.

COVID-19 Health Inequalities Monitoring in England Tool (CHIME)

COVID-19 Health Inequalities Monitoring in England Tool (CHIME)
PHE 20 May 2021

• The CHIME tool brings together data relating to the direct impacts of COVID-19, such as on mortality rates and hospital admissions and presents it by age, sex, ethnic group, level of deprivation and region.

Child Mortality and Social Deprivation

Child Mortality and Social Deprivation
National Child Mortality Database 13 May 2021

• This report, which is based on data for children who died between April 2019 and March 2020 in England, finds a clear association between the risk of child death and the level of deprivation (for all categories of death except cancer). More specifically, Child Mortality and Social Deprivation states that over a fifth of all child deaths might be avoided if children living in the most deprived areas had the same mortality risk as those living in the least deprived – which translates to over 700 fewer children dying per year in England.

The COVID decade: understanding the long-term societal impacts of COVID-19

The COVID decade: understanding the long-term societal impacts of COVID-19
British Academy 23 March 2021

• This report argues that the societal impacts of the pandemic have exposed several gaps in public policy-making that the government now has the opportunity to address. It suggests seven strategic goals for policy-makers to pursue: build multi-level governance; improve knowledge, data and information linkage and sharing; prioritise digital infrastructure; reimagine urban spaces; create an agile education and training system; strengthen community-led social infrastructure; and promote a shared social purpose.

Socioeconomic inequalities in avoidable mortality - data from ONS

Socioeconomic inequalities in avoidable mortality in England: 2019

ONS 11 March 2021

• Avoidable mortality in England, using measures of multiple deprivation to measure socioeconomic inequalities, includes avoidable mortality by cause.

Socioeconomic inequalities in avoidable mortality, England and Wales: 2001 to 2018
ONS 10 July 2020

• "Avoidable deaths accounted for nearly two-fifths (39.4%) of all male deaths in the most deprived areas of England compared with less than one-fifth (17.7%) in the least deprived areas in 2018; for females it was 26.2% and 12.2% respectively.
• While avoidable mortality rates are sizeably lower than they were in 2001 across all levels of area deprivation, since 2013 the speed of improvement has reduced substantially particularly in the most deprived areas."

COVID-19 data repository and public attitudes retrospective

COVID-19 repository and public attitudes retrospective
Centre for Data Ethics and Innovation 5 March 2021

• New research on the use of AI and data-driven technology in the UK’s COVID-19 response, highlighting insights into public attitudes, as well as trends it has identified.

Coronavirus and the social impacts on different ethnic groups in the UK: 2020

Coronavirus and the social impacts on different ethnic groups in the UK: 2020
ONS 14 December 2020

• Estimates from the Understanding Society: COVID-19 Study, 2020, UK Household Longitudinal Study (UKHLS) and Wealth and Assets Survey (WAS) to explore the social impacts of the coronavirus (COVID-19) pandemic on people from different ethnic groups in the UK.

Population health global summit

Population health global summit
Kings Fund 2 December 2020

• Watch on demand the one-day virtual event which shared national and international examples of best practice and explored how:
• local organisations working in partnership and collaborating with one another can help deliver population health locally
• data and insight can be used to analyse and develop population health strategies and new integrated care models
• addressing the wider determinants of health as part of a population health approach can help reduce health inequalities.

Centre for Improving Data Collaboration

Centre for Improving Data Collaboration
NHSX November 2020

• The Centre for Improving Data Collaboration is a new business unit within NHSX which has been created to support the health and social care sector to enter into data-sharing partnerships that benefit the NHS, patients and the public. Main areas of focus
• Realising the value of health data assets
• Providing support and enhancing capability
• Catalysing thought leadership
• Working with key stakeholders
• See blog Matthew Gould (Chief Executive, NHSX)

The data will see you now: Datafication and the boundaries of health

The data will see you now: Datafication and the boundaries of health
Ada Lovelace Institute October 2020

• This report explores the datafication of health: what it is, how it occurs, and its impacts on individual and social wellbeing. It draws on examples to synthesise existing research, analyse concepts and surface the societal and ethical challenges arising from the blurring of the boundaries of health data.

Risk of 'data poverty' if data underpinning AI health technologies is not representative and inclusive

A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability
The Lancet Digital Health 01October 2020 DOI:https://doi.org/10.1016/S2589-7500(20)30240-5

• Based on analysis of publicly available ophthalmological imaging datasets the authors warn of the risk of reinforcing healthcare inequalities if new AI health technologies are based on unrepresentative datasets – a situation they describe as ‘health data poverty’.
• Press release

Data Ethics Framework

Data Ethics Framework
Government Digital Service updated 16 September 2020

• The Data Ethics Framework is a set of principles to guide the design of appropriate data use in the public sector. It is aimed at anyone working with data in the public sector, including:
• data practitioners (for example statisticians, analysts and data scientists)
• policymakers
• operational staff
• people helping to produce data-informed insight.

AHSN Network Digital & AI Reset Report; Lessons and Legacy from the COVID-19 Pandemic in Health and Care

Digital & AI Reset Report; Lessons and Legacy from the COVID-19 Pandemic in Health and Care
AHSN Network for NHS Confederation, 10 September 2020

• The findings underline the importance of a robust data infrastructure, data operability and common standards to facilitate data sharing within national policy and governance frameworks. This will help to empower people, communities and NHS and social care staff to serve local needs, thereby minimising health inequalities and rebuilding communities in line with the ‘levelling up’ agenda in a decentralised, distributed health resilience model.

Wider impacts of COVID-19 on health monitoring tool

Wider impacts of COVID-19 on health monitoring tool
PHE 16 July 2020 with updates

• National monitoring tool that brings together metrics to assess the wider impacts of COVID-19 on health. The monitoring tool collates metrics across a range of wider impacts to provide stakeholders with a single point of access. 
• The tool will be updated weekly and may include the addition of new metrics as they become available or data updates to metrics already included in the tool.

Addressing trust in public sector data use

Addressing trust in public sector data use
Centre for Data Ethics and Innovation 20 July 2020

• The report analyses projects where data has been shared between government departments, and with commercial organisations, identifying recurring barriers, and the steps that were taken to address them. It focuses on citizen trust, which the report argues needs to be addressed if we are to maximise the value of data held. It includes a new framework to drive forward trustworthy data sharing in the public interest.

Bringing NHS data analysis into the 21st century

Bringing NHS data analysis into the 21st century
Journal of the Royal Society of Medicine 16 July 2020 https://doi.org/10.1177/0141076820930666

• "Data have been widely hailed as ‘the raw material of the 21st century’ and ‘better use of data’ is a central feature of the NHS Long Term Plan. Yet, data alone does not produce insights. To capitalise on opportunities to improve health and care, we need the data and outstanding data analysis. However, policymakers and academia have almost exclusively focused on pure academic research around the aetiology of disease; the field of practical coalface analytics has been largely neglected."
• To address these concerns Ben Goldacre etal set out to: 
• (i) identify the technical, cultural and regulatory barriers to the better use of analysis; 
• (ii) identify potential solutions to these barriers; 
• (iii) frame these barriers and solutions as action statements in a standard format (‘specific person/organisation should do this specific thing so that this specific outcome can be achieved.’); 
• (iv) outline what successful change would look like in the format of ‘we'll know we’ve won when’ statements.

NHS COVID-19 Data Store

NHS COVID-19 Data Store
NHS England, NHSX

• The NHS COVID-19 Data Store will ensure that data can be used by the NHS and government to look at trends to monitor the spread of the virus and implement appropriate measures to ensure services and support is available to patients. All data processed in the NHS Data Store is either pseudonymised, anonymised or aggregated and therefore does not identify any individual.
• A table sets out organisations and their role and contract types with level of access to data. 
• See  NHS Harnesses Coronavirus Forecasting Tech To Help Save Lives

Coronavirus (COVID-19) Infection Survey pilot: Englan

Coronavirus (COVID-19) Infection Survey pilot: England
ONS First released 14 May 2020 (weekly update)

• Estimates of the number of coronavirus (COVID-19) infections within the community population; where community refers to private residential households, and it excludes those in hospitals, care homes or other institutional settings.
• This survey is being delivered in partnership with IQVIA, Oxford University and UK Biocentre.