Understanding the needs of those most clinically vulnerable to COVID-19
This analysis from the Networked Data Lab examines the evidence about those asked to shield during the pandemic and calls for a deeper understanding of the policy's impacts.
This analysis from the Networked Data Lab examines the evidence about those asked to shield during the pandemic and calls for a deeper understanding of the policy's impacts.
New analysis from the Improvement Analytics Unit looks at how shifts to total triage and remote consultation is impacting the use of emergency care.
New analysis from the Improvement Analytics Unit has found that multidisciplinary teams may increase emergency hospital use, at least in the short term.
This briefing explores IAUs evidence on how multidisciplinary teams may increase emergency hospital activity at least in the short term.
People with depression and/or anxiety are more likely to have additional long-term conditions if they live in areas of higher socioeconomic deprivation. This long read highlights longstanding inequali...
As the winners of the Florence Nightingale Award for Excellence in Healthcare Data Analytics are announced, Ellen Coughlan reflects on the importance of health care analytics in supporting innovation ...
This IAU evaluation of an integrated care programme in Nottinghamshire measured progress over six years, showing potential to reduce hospital use over the longer-term.
The briefing examines the impact of Mid-Nottinghamshire's Integrated Care Transformation Programme initiatives on hospital use.
Knowing which studies on ethnicity and COVID-19 are robust can be difficult. Our long read explores five key questions to help you to evaluate research on ethnicity and COVID-19 risk and outcomes.
Our analysis on the scale of the impact of COVID-19 on social care in England during the first phase of the pandemic
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