National Diabetes Inpatient Audit (NaDIA) - 2016

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Dataset information

Country of origin
Updated
Created
Available languages
English
Keywords
Quality scoring
150

Dataset description

Making clinical audit data transparent In his transparency and open data letter to Cabinet Ministers on 7 July 2011, the Prime Minister made a commitment to make clinical audit data available from the national audits within the National Clinical Audit and Patient Outcomes Programme. The information available from this webpage comes from the National Diabetes Inpatient Audit. The National Diabetes Inpatient Audit is a snapshot audit of diabetes inpatient care. In September 2016 the National Diabetes Inpatient Audit was conducted in hospitals across England and Wales, collecting data on characteristics of the hospital including staffing structures, patient clinical data and patient experience information. What information is being made available?  Audit participation and data completeness for the key fields  Measures about the process of care given to patients  Information about care outcomes and treatment. These data do not list individual patient information nor do they contain any patient identifiable data. Using and interpreting the data Data from the National Diabetes Inpatient Audit should not be looked at in isolation when assessing standards of care. Accessing the data The data are being made available on the data.gov website. Each year a data file from the National Diabetes Inpatient Audit will be made available in CSV format. Hospitals are identified by name and their national code. What does the data cover? The audit looks at the following areas: • Did diabetes management minimise the risk of avoidable complications? • Did harm result from the inpatient stay? • Was patient experience of the inpatient stay favourable? • Has the quality of care and patient feedback changed? What period does the data cover? This data covers patients surveyed on a date between 26 and 30 September 2016. The audit report was published on 08 March 2017.
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