Investigating Variation in Hospital Acute Coronary Syndrome Outcomes

This study has been completed.
Sponsor:
Information provided by (Responsible Party):
Oras Alabas, University of Leeds
ClinicalTrials.gov Identifier:
NCT01808027
First received: March 7, 2013
Last updated: NA
Last verified: March 2013
History: No changes posted

March 7, 2013
March 7, 2013
February 2011
February 2013   (final data collection date for primary outcome measure)
delays to treatment [ Time Frame: 12 months ] [ Designated as safety issue: Yes ]
Quantification of hospital attributable effects relating to early and late mortality
Same as current
No Changes Posted
Describing trajectories of quality of life recovery patterns [ Time Frame: 12 month ] [ Designated as safety issue: Yes ]
Describing trajectories of quality of life recovery patterns
Same as current
Develop a risk score and a near-point risk Acute Coronary Syndrome model [ Time Frame: two years ] [ Designated as safety issue: Yes ]
Develop a risk score and a near-point risk Acute Coronary Syndrome model
Same as current
 
Investigating Variation in Hospital Acute Coronary Syndrome Outcomes
Evaluation of the Methods and Management of Acute Coronary Events: 3. Investigating Variation in Hospital Acute Coronary Syndrome Outcomes

To investigate the causes of hospital variation in outcomes from acute coronary syndromes in England and develop recommendations for improving patient care.

Over the last few years the chance of dying from a heart attack in England and Wales has reduced dramatically. Even so, there remain huge differences in mortality between hospitals. For example, up to a third of patients with a heart attack who attend hospitals in England are more likely to die than would be expected. That is, the type of treatment and the risk of death depends upon where a patient lives and which hospital they attend. In part, the variation in death may be due to the services available at the hospital or to factors such as socioeconomic deprivation. It may also relate to other factors such as depression, cardiac rehabilitation and whether patients take their medication after discharge from hospital. Using powerful statistical approaches that include measures of quality of life, we propose to examine data about heart attacks in England and investigate the 'postcode lottery of care'. Our aim, using regional data about heart attacks is to identify and measure the effects of hospital care. This research will identify hospital qualities that promote improved patient care. In doing so, best practice will be highlighted and healthcare policy changed so that all patients will have an equal chance of surviving a heart attack.

Observational [Patient Registry]
Observational Model: Cohort
Time Perspective: Prospective
12 Months
Retention:   Samples With DNA
Description:

Blood

Non-Probability Sample

Consented patients with acute coronary syndrome were recruited from acute Trusts in England. These hospitals have been selected because of their diverse population demographics, different acute coronary syndrome care pathways and established track record for good data collection. Specifically these hospitals represent both teaching hospitals and community hospitals - but more importantly include a wide range of patient types. Mortality tracked through the UK statistics authority, and primary and secondary endpoints tracked locally and transferred through the secure NHS net to a central database.

Acute Myocardial Infarction
Not Provided
Acute myocardial infarction
patient with suspected acute coronary syndrome (ACS).
Not Provided

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Completed
5555
February 2013
February 2013   (final data collection date for primary outcome measure)

Inclusion Criteria:

  • Age > 18 years
  • Both sexes
  • Acute admission to the acute Trust with suspected acute coronary syndrome

Exclusion Criteria:

  • Patients at a terminal stage of any illness
  • Those in whom follow up would be inappropriate or impractical
Both
18 Years and older
No
Contact information is only displayed when the study is recruiting subjects
United Kingdom
 
NCT01808027
10/H1313/74
Yes
Oras Alabas, University of Leeds
University of Leeds
Not Provided
Principal Investigator: Chris P Gale, PhD University of Leeds
University of Leeds
March 2013

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP