Bronze level automatically awarded GB final

This data has achieved Bronze level on 28 October 2014 which means this data makes a great start at the basics of publishing open data.

HES: Deaths within 30 days of a hospital procedure or of an emergency admission to hospital - Financial year 2009/2010

Description

These mortality indicators provide information to help the NHS monitor success in preventing potentially avoidable deaths following hospital treatment. The National Confidential Enquiry into Patient Outcome and Death (NCEPOD) have, over many years, consistently shown that some deaths are associated with shortcomings in health care. The NHS may be helped to prevent such potentially avoidable deaths by seeing comparative figures and learning lessons from the confidential enquiries, and from the experience of hospitals with low death rates. The indicators presented measure mortality rates for patients, admitted for certain conditions or procedures, where death occurred either in hospital or within 30 days after discharge. There are five 'Deaths within 30 days' indicators: Operative procedures: surgery (non-elective) coronary artery bypass graft Emergency admissions: fractured proximal femur myocardial infarction stroke Data are presented for the period 2000/01 to 2009/10, split by gender, and are provided for around 700 health and local government organisations in England. These indicators were previously published on the Compendium of Clinical and Health Indicators and are now published on the NHS IC's Indicator Portal as part of the continuing release of this indicator set. This includes data, along with indicator specifications, providing details of indicator construction, data quality, statistical methods and interpretation considerations.

General Information

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  • The rights statement is at

    http://data.gov.uk/dataset/hospital-episode-statistics-deaths-within-30-days-of-a-hospital-procedure-or-of-an-emergency-admissi Do you think this data is incorrect? Let us know

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    UK Open Government Licence Do you think this data is incorrect? Let us know

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