Previous analyses have shown that around 9% of patients discharged from NHS hospitals following emergency admission with a fractured proximal femur (hip) are readmitted as an emergency within 28 days. There is wide variation between 'like' populations in rates of such admissions. Emergency readmissions are unlikely to be part of the originally planned treatment and some may be potentially avoidable. The NHS may be helped to prevent potentially avoidable readmissions by seeing comparative figures and learning lessons from the experience of hospitals with low readmission rates.
The quality of data provided by trusts to the national Hospital Episode Statistics (HES) database is variable and sometimes unsatisfactory. Clinical focus indicators which use HES data, such as this indicator, include an assessment of data quality and trusts with unsatisfactory data are penalised.
| Legend | |
|---|---|
| Band 1 - poor | Value below 99.9% lower limit of expected distribution |
| Band 2 | Value between 99.9% and 97.5% lower limits of expected distribution |
| Band 3 | Value within the central 95% probability limits of expected distribution |
| Band 4 | Value between 99.9% and 97.5% higher limits of expected distribution |
| Band 5 - good | Value above higher 99.9% limit of expected distribution |
Hospital Episode Statistics (Calendar Years 2003 and 2004)
Numerator:
(Number of readmissions) Number of finished and unfinished spells that are emergency admissions within 28 days of a discharge from hospital meeting the denominator criteria.
Denominator:
(Relevant consultant episodes) Number of spells with an emergency method of admission, a diagnosis of fractured proximal femur and a discharge date within the year of analysis up to the 4th of December.
Indicator:
A detailed technical specification (construction) is available via the link on this page.
More information on different aspects of the calculation of HES based clinical indicators is available in documents on data quality and construction of continuous inpatient spells (via "more information" link on website). A paper on statistical methods will follow in due course.
Expressed as a percentage.