HC Deb 26 April 2004 vol 420 cc835-6W
Bob Spink

To ask the Secretary of State for Health what the waiting times for hip replacements on the NHS are in each hospital in Essex. [167204]

Dr. Ladyman

The finished admission episodes, mean and median time waited in days for hip replacements on the national health service within NHS trusts in Essex are shown in the table.

Trust name Finished

in-year

admission

episodes

Median

waiting time

in days

Mean

waiting time

in days

Southend Hospital 458 323 296.8
Basildon and Thurrock
University Hospital
(Foundation) Trust 369 178 194.2
Essex Rivers Healthcare 547 183 190.3
Princess Alexandra Hospital 399 348 283.5
Mid-Essex Hospital Services 451 288 346.6
Notes:
1. A finished in-year admission is the first period of in-patient care under one consultant and within one health care provider, excluding admissions beginning before 1 April at the start of the datayear. Please note that admissions do not represent the number of in-patients, as a person may have more than one admission within the year.
2. The main operation is the first recorded operation in the hospital episode statistics (HES) data set and is usually the most resource intensive procedure performed during the episode. It is appropriate to use main operation when looking at admission details, e.g. time waited but the figures for "all operations count of episodes" give a more complete count of episodes with an operation.
3. Time waited statistics from HES are not the same as the published waiting list statistics. HES provides counts and time waited for all patients admitted to hospital within a given period whereas the published waiting list statistics count those waiting for treatment on a specific date and how long they have been on the waiting list. Also, HES calculates the time waited as the difference between the admission and decision to admit dates. Unlike published waiting list statistics, this is not adjusted for self-deferrals or periods of medical/social suspension.
4. Figures have not beet adjusted for shortfalls in data (i.e. the data are un-grossed).
Source:
HES, Department of Health.

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