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Princess Royal Hospital, Haywards Heath

Volume 450: debated on Thursday 26 October 2006

To ask the Secretary of State for Health what the most common reason for (a) out-patient and (b) in-patient admission to the Princess Royal Hospital, Haywards Heath was in the most recent period for which figures are available. (95954)

The information requested is only available at trust level. The table below details the top 10 finished admission episodes by primary diagnosis for Brighton and Sussex University Hospitals National Health Service Trust for 2004-05:

Primary diagnosis

Finished admission episodes

Unknown and unspecified causes of morbidity

8,843

Liveborn infants according to place of birth

3,661

Senile cataract

2,318

Chronic ischaemic heart disease

2,209

Dorsalgia

1,447

Abdominal and pelvic pain

1,447

Perineal laceration during delivery

1,137

Angina pectoris

895

Other disorders of urinary system

889

Gastro-oesophageal reflux disease

809

Notes: 1. Finished admission episodes A finished admission episode is the first period of in-patient care under one consultant within one healthcare provider. 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. Diagnosis (primary diagnosis) The primary diagnosis is the first of up to 14 (seven prior to 2002-03) diagnosis fields in the Hospital Episode Statistics (HES) data set and provides the main reason why the patient was in hospital. 3. Ungrossed data Figures have not been adjusted for shortfalls in data (ie the data are ungrossed). 4. Data quality Hospital Episode Statistics (HES) are compiled from data sent by over 300 NHS trusts and primary care trusts (PCTs) in England. The Information Centre for health and social care liaises closely with these organisations to encourage submission of complete and valid data and seeks to minimise inaccuracies and the effect of missing and invalid data via HES processes. While this brings about improvement over time, some shortcomings remain. Source: Hospital Episode Statistics (HES), The Information Centre for health and social care.

To ask the Secretary of State for Health what effect she expects the proposed changes to services offered by the Princess Royal Hospital, Haywards Heath to have on the NHS South East Coast Strategic Health Authority deficit. (95955)

[holding answer 23 October 2006]: NHS South East Coast is working with local people, local government and other stakeholders to produce plans for modern healthcare services that are high quality, safe as well as being clinically and financially sustainable. A document entitled “Creating an NHS Fit for the Future” was published in February 2006 and this detailed first steps in developing the strategy.

The “Creating an NHS Fit for the Future” programme is being rolled out across Surrey and Sussex and Kent and Medway. In Surrey and Sussex it is concluding its discussion phase. If proposals emerge which recommend significant changes to the services provided, a full public consultation exercise will follow.

To ask the Secretary of State for Health how many people were admitted to the accident and emergency department of the Princess Royal Hospital, Haywards Heath in each of the last three years. (95957)

[holding answer 23 October 2006]: Information on attendances at and admissions via accident and emergency (A and E) departments is only collected centrally at trust level. The following table shows the number of attendances at, and admissions via, all types of A and E department for Brighton and Sussex University Hospitals NHS Trust for 2003-04, 2004-05 and 2005-06.

Organisation

Number of admissions via A and E (all types)

Total A and E attendances (all types)

2003-04

Brighton and Sussex University Hospitals NHS Trust

17,721

112,695

2004-05

Brighton and Sussex University Hospitals NHS Trust

19,364

120,463

2005-06

Brighton and Sussex University Hospitals NHS Trust

20,073

124,386

Note: Admissions data include admissions via all types of A and E. Source: Department of Health dataset QMAE